Jobs ML / AI

About Us

Our client is MilTech startup building an on-premises platform for automated annotation of UAV video and training computer vision models for autonomous flight.

We have a strategic partnership with one of the largest Ukrainian UAV manufacturers and access to what is likely the largest privately owned UAV video dataset in the world.

The company is at a very early stage — the funding is secured, the technical vision exists, and the data is available. Our focus now is building the core engineering team to turn this platform into reality.

The Role

We are looking for a Lead Computer Vision / Machine Learning Engineer to join as a founding member of the engineering team.

This role is highly hands-on and strategic. You will define the ML architecture, select the tools and frameworks, and build the machine learning pipeline from the ground up. As the platform grows, you will also build and lead a team of ML engineers.

While the high-level technical direction is defined — including petabyte-scale video processing, active learning pipelines, and edge deployment on NVIDIA Jetson devices — the implementation details will be driven by your expertise and technical judgement.

Responsibilities ML Architecture & Technical Direction

• Design and implement the end-to-end ML pipeline, from raw video ingestion to model deployment on UAV hardware
• Evaluate and select appropriate frameworks and infrastructure tools
• Build systems for experiment tracking, model versioning, and reproducible training
• Establish the training infrastructure and ML development workflow
• Make strategic build vs. integrate decisions across the ML stack

Data Pipeline & Curation

• Design video preprocessing pipelines including:
   
  • clip segmentation
  • frame extraction
  • scene detection
  • embedding generation
• Develop data curation workflows to extract high-quality training datasets from large-scale raw video
• Define the annotation ontology and labeling standards for detection, classification, segmentation, and multi-object tracking

Model Development

• Train and improve computer vision models for:
   
  • object detection
  • scene classification
  • object tracking
  • segmentation
• Implement distributed multi-GPU training for large-scale experiments
• Design and implement active learning pipelines including:
   
  • automated labeling
  • confidence-based routing
  • human review workflows
  • retraining triggers
• Define model evaluation metrics and promotion criteria

Edge Deployment

• Optimize models for real-time inference on NVIDIA Jetson hardware
• Implement model optimization techniques including:
  • ONNX conversion
  • TensorRT acceleration
  • INT8 quantization
• Design the model delivery pipeline from training registry to deployed UAV systems

Team Building

• Hire and mentor ML engineers as the team grows
• Establish engineering practices including:
  • code review
  • testing standards
  • documentation
• Own and communicate the ML technical roadmap

RequirementsMust Have

• 5+ years of experience in computer vision and deep learning, including production deployments
• Strong proficiency with PyTorch, including distributed training
• Experience building object detection and tracking pipelines (YOLO, RT-DETR, Detectron2, or similar)
• Experience optimizing models for edge or mobile deployment (TensorRT, ONNX, SNPE, or similar)
• Experience building ML infrastructure and training pipelines
• Strong Python skills and ability to write production-quality code
• Experience leading or mentoring engineers

Nice to Have

• Experience with UAV, drone, robotics, or autonomous systems
• Experience deploying models on NVIDIA Jetson
• Experience with high-performance video processing pipelines (DeepStream or custom)
• Experience in defense or MilTech environments
• Experience defining ML architecture from scratch in early-stage startups
• C++ experience for performance-critical components

What We Offer

• Founding engineering role with direct influence on company technology
• Ownership of the entire ML pipeline from raw data to deployed models
• Access to one of the largest privately owned UAV video datasets in the world
• Dedicated on-prem GPU infrastructure
• Open-source-first engineering approach
• Opportunity to build and lead a machine learning team
• Competitive salary
• Stock options

Domain: SaaS
Project: AI strategy product
Client: Germany
Location: Remote (attending events once a quarter across the EU)
Time Zone: CET
Contract: B2B
Budget: $6500 gross

About US

DevKit is more than just an IT company - we are a team of passionate professionals dedicated to creating cutting-edge solutions. Our employees work on exciting international startups, collaborating with highly skilled teams from around the world. With expertise in software development, design, and engineering, we help bring innovative ideas to life and drive success on a global scale!
Our mission is to connect exciting projects with top-tier professionals. We are committed to creating a dynamic space where innovation thrives, top talent excels, and global teams unite to develop cutting-edge solutions.
 

About PROJECT

The company is a trailblazing AI-powered SaaS platform, reshaping the landscape of procurement from a tactical function to a strategic business ally that orchestrates seamless value chains. The state-of-the-art solution empowers organizations to independently develop procurement strategies with a flexible framework adaptable to their specific needs and contexts.

Redefining traditional category management, the company’s all-encompassing solution takes it to new heights by harnessing the capabilities of AI, fostering extensive collaboration, and integrating data from diverse sources beyond conventional category taxonomy. At the product, they are driven by a purpose-centered ethos, dedicated to tackling ESG-related challenges, positioning procurement as a catalyst for positive change rather than merely a cost-cutting entity.

The multitude of prestigious awards and recognitions speaks to their leadership in the AI-driven procurement technology landscape, showcasing our unwavering commitment to innovation and excellence.

Main Tech Stack

AI/DS/ML related stack
 

Responsibilities
 

• AI/DS/ML initiatives organization-wide, overseeing the entire ML lifecycle from conception to execution.
• Drive continuous development of AI/ML functionalities for our SaaS product, prioritizing well-structured, secure, and scalable code, complemented by comprehensive documentation and rigorous testing protocols.
• Initiate the integration of pertinent research findings into our product, particularly in procurement, through experimentation and the creation of solutions like chatbots, forecasts, and decision support systems.
• Utilize your software engineering expertise and business acumen to foster the growth and maintenance of our ML services, guiding all stages of technology development.
• Establish and manage high-quality datasets, alongside developing data pipelines for procurement data processing.
• Collaborate closely with cross-functional teams of software engineers to enact transformative changes within procurement practices.
• Stay informed about the latest advancements in AI/ML technologies and industry best practices, actively contributing insights for continuous improvement.
• Cultivate a culture of learning, knowledge sharing, and team development within our Data Science team.

Requirements
 

• Have 5+ years of proven industry experience in applying Machine Learning and AI techniques.
• Demonstrate proficiency in Machine Learning principles and generative models, with an understanding of computational limitations and data privacy considerations.
• Showcase expertise in NLP, LLM (3+ years), including prompt engineering, training, fine-tuning, RAG, evaluation, transfer learning techniques, and anomaly detection.
• Possess knowledge of Data Analysis/Processing, Data Visualization, and Storage systems (e.g., Databases, Data Lakes, Data Warehouses).
• Advocate for best coding practices, thorough documentation, rigorous reviews, data integrity, security, and performance optimization, with expertise in the Python ecosystem and popular ML libraries/frameworks, including those tailored for LLM.
• Have experience in Infrastructure management (MLOps/LLMOps, AWS/GCP Clouds, SQL, REST APIs, GitHub), and overseeing end-to-end ML pipelines.
• Demonstrate proficient English communication skills, both verbal and written, with a focus on clarity, openness, and professionalism.

Would be a plus:
 

• Seize the opportunity to join the team and make meaningful contributions to our engineering excellence within an international team and context.
• Occasional business travel within Europe may be required, averaging once per quarter, alongside team-building company events.
• Join a pioneering AI-driven procurement technology startup, contributing to the creation of innovative solutions that significantly impact enterprise customers.

Work conditions

• A long-term role in a stable, fast-growing company
• Flexible working hours with a results-oriented approach
• Competitive salary and benefits package (vacation, sick leave, national holidays)
• Comfortable workspace, corporate events, and team-building
• Continuous learning, professional growth, and skill development

If you're looking for a place to grow, innovate, and make an impact, we'd love to have you on board!

Important Requirement: Applications without at least 2 years of hands-on experience with BOTH UChat and Zoho CRM will not be considered.

About the Role

We are seeking a skilled Automation & AI Bots Specialist to design, build, and manage intelligent automation workflows and AI-powered chatbots that improve operational efficiency and support multiple client projects.

This role focuses on building NLP-based conversational bots, integrating them with Zoho CRM, and creating scalable automation workflows using platforms such as UChat, Zapier, or Make.

This is a part-time role (~20 hours per week) with the potential to expand into a full-time position based on performance and business needs.

Key Responsibilities

• Design and deploy AI-powered chatbots using UChat
• Build automation workflows using Zapier, Make, or similar tools
• Integrate chatbots with Zoho CRM and other business systems
• Configure and maintain API integrations, webhooks, and multi-system connections
• Develop NLP-based conversational flows for customer interaction
• Implement chatbot solutions for multiple client projects
• Optimize chatbot performance through testing and iteration
• Create clear documentation for automation workflows and chatbot logic
• Collaborate with stakeholders to gather requirements and translate business needs into technical solutions
   

Required Qualifications

• Minimum 2 years of hands-on experience with UChat
• Minimum 2 years of experience implementing Zoho CRM
• 1–2+ years of experience in automation workflows, chatbot development, or system integrations
• Proven experience building AI-powered chatbots using NLP technologies
• Experience deploying chatbot solutions for multiple client projects
• Strong understanding of APIs, webhooks, and JSON structure
• Experience designing automation workflows and business process automation
• Proficiency in prompt engineering for AI tools (ChatGPT, Claude, etc.)
• Experience building GPT-powered chatbots or conversational agents
• Ability to design process flows, conditional logic, and automation scenarios
• Strong analytical and problem-solving mindset
• Good English communication skills
   

Preferred Qualifications

• Experience with Zapier, Make, or n8n
• Experience integrating WhatsApp, web chat, or Telegram bots
• Experience with conversational UX design
• Experience conducting A/B testing for chatbot responses
• Familiarity with logging, error tracking, and workflow monitoring tools
• Basic programming knowledge in JavaScript or Python
• Experience with Voice AI or automated call systems
   

What We Offer

• Flexible part-time schedule (~20 hours/week)
• Opportunity to work on cutting-edge AI automation projects
• Collaborative and growth-oriented work environment
• Potential for long-term collaboration

We are a digital media publisher seeking a hands-on AI Automation Engineer to lead the adoption and implementation of AI across our editorial, product, and internal operations.

This is a high-impact, leadership-oriented role where you will define how AI is used across the company - from content generation to internal automation - and act as a key decision-maker in selecting technologies, designing systems, and driving execution.

You will combine backend engineering with AI integration to build scalable, intelligent systems that transform how we operate. 

We are looking for the persong who are comfortable working in the US timezone or close to it. 

What You’ll Do

• Lead AI adoption across the company - define strategy, identify opportunities, and drive implementation
• Design and build AI-powered systems and workflows for content production, analysis, and automation
• Integrate and orchestrate LLM APIs (OpenAI, Anthropic, etc.) into production-ready applications
• Develop backend services and APIs that power AI-driven features
• Connect tools, platforms, and data sources into end-to-end automated workflows
• Act as a technical decision-maker for AI architecture, tools, and frameworks
• Rapidly experiment with emerging AI technologies and turn ideas into production systems

• Collaborate cross-functionally with engineering, editorial, and product teams

   

Core Requirements (Must-Have)

• Strong Python skills (primary language)
• Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.)
• Experience with vector databases, embeddings, and retrieval systems
• Familiarity with frameworks like LangChain, LlamaIndex, or similar
• Proven experience building AI tools and automation systems
• Strong backend engineering experience (APIs, services, system design)
• Ability to design and implement end-to-end AI workflows
• Strong problem-solving mindset with a bias toward experimentation and iteration

Nice to Have

• Experience with PHP and WordPress ecosystems
• Proficiency in JavaScript / Node.js
• Experience with cloud infrastructure (AWS, GCP, etc.)
• Background in machine learning

Who You Are

• You think in systems and enjoy connecting tools into automated pipelines
• You’re excited about taking AI from prototype → production
• You’re comfortable making technical decisions and owning outcomes
• You actively explore new AI capabilities and turn them into real-world applications
• You want to shape how a company operates using AI, not just build isolated features

Your Role

You will join our new AI division and take part in the full development cycle of AI products — from hypothesis validation to production-ready solutions. The role covers cross-departmental projects.

Key directions:

• RAG systems for content generation from internal knowledge bases
• AI agents for data analysis, sales support, and customer service
• End-to-end marketing analytics & automation (n8n)
• Call transcription, analysis, and AI-coaching for managers
• Data parsing and analysis from external sources with LLMs
• Predictive analytics (churn, NPS)
• Automatic generation of commercial proposals
• NLI, reranking, and other NLP tasks

Requirements

Python & Backend (3+ years of commercial experience)

• Python, FastAPI, REST API
• PostgreSQL, Redis
• Git, CI/CD, Docker

LLM & RAG

• RAG pipelines: chunking, embeddings, retrieval, reranking
• Vector DBs: Weaviate, Qdrant, Pinecone, pgvector or similar
• LLM API integration: OpenAI, Anthropic, Google Gemini
• LangChain, LlamaIndex or similar orchestration frameworks
• Prompt engineering and prompt optimization
• AI agents and agentic frameworks

Nice to Have

Backend & Infrastructure

• SSE/WebSocket, Celery, message brokers (RabbitMQ, Kafka)
• Kubernetes, AWS, GCP

LLM in Production

• Structured Outputs, Function Calling, JSON mode
• Self-hosted LLM deployment (Ollama, vLLM or similar)
• LLM Observability: LangFuse, LangSmith or similar
• Evaluation: RAG & LLM output quality (RAGAS, DeepEval or similar)
• Guardrails, PII handling, token budgeting

Data & Automation

• NLI: classification, sentiment analysis, contradiction detection
• Speech-to-Text (Whisper, Deepgram, AssemblyAI or similar)
• Document parsing and external source scraping
• Big data pipelines
• n8n or similar automation platforms

Soft Skills

• Autonomy — ability to make architectural decisions and work independently
• Systems thinking — ability to see the product holistically at the architecture level
• Speed of iteration — readiness to quickly test hypotheses and implement changes
• Communication — ability to present technical decisions to non-technical business stakeholders
• English — for technical documentation and professional growth

Hiring Process

1. General interview
2. Technical interview
3. Offer

📩  Send your CV with a description of your relevant experience.

Are you passionate about building intelligent systems that transform industries? We are looking for Software Engineer to join our team and work on cutting-edge AI-powered solutions in the logistics domain.

This is a remote position, offering flexibility and the opportunity to collaborate with international teams. We at Sigma Software value innovation, quality, and teamwork, and provide our specialists with challenging projects and professional growth opportunities.

Why join us? You will work on impactful AI-driven products, gain exposure to advanced technologies, and be part of a company that supports continuous learning and career development.

CUSTOMER

Our customer is one of Europe’s leading logistics providers, headquartered in Germany. They specialize in developing and implementing integrated supply chain systems, leveraging advanced data analytics to optimize logistics operations. Recognized for innovation and efficiency, they deliver solutions that enhance operational performance across diverse industries.

PROJECT

The project focuses on developing advanced data products, including an AI assistant capable of performing analysis and providing insights based on user queries. The team is also building tools to support the client’s internal processes, integrating AI/ML models into production systems, and designing AI-powered features such as chatbots and recommendation engines.

RESPONSIBILITIES:

• Design, develop, and maintain backend services using TypeScript/JavaScript and Node.js
• Integrate AI/ML models into production environments to support business processes
• Build and orchestrate AI pipelines that consume model outputs and deliver actionable insights
• Develop AI-powered features such as chatbots and recommendation engines
• Collaborate closely with cross-functional teams to ensure seamless integration of AI solutions into applications
• Participate in architectural discussions and contribute to solution design
• Ensure high-quality code through testing, reviews, and adherence to best practices

• Communicate effectively with stakeholders and team members to align on requirements and deliverables

   

REQUIREMENTS:

• 3–4 years of development experience with TypeScript/JavaScript technology stack
• Proven experience with Node.js and Python
• Hands-on experience integrating AI/ML models into production systems
• Experience building backend services that consume AI outputs and orchestrate AI pipelines
• Experience designing AI-powered features such as chatbots or recommendation engines
• Familiarity with integrating LLMs into applications
• Strong communication and multitasking skills
• Strong problem-solving and decision-making abilities with a focus on results

• Upper-Intermediate level of English

   

WILL BE A PLUS:

• Experience with React

   

PERSONAL PROFILE:

• Motivated, self-driven, and positive individual
• Strong communication skills
• Ability to multitask and manage priorities effectively
• Skilled in solving complex problems under tight deadlines
• Passionate about leveraging technology to deliver impactful results

We’re on the hunt for a talented AI/ML Engineer to design, implement, and optimize cutting-edge AI/ML solutions. If you thrive on solving complex problems and creating production-ready models, we’d love to hear from you!

.  What You’ll Do:

• Develop and fine-tune AI/ML models for performance and scalability.
• Enhance production models, debug issues, and ensure reliability.
• Work with cross-functional teams to shape future AI/ML innovations.
• Explore emerging AI/ML technologies and recommend tools/frameworks.
• Build robust pipelines using Python, SQL, Docker, and more.

.  What We’re Looking For:

• Strong experience in AI/ML, data science, or data engineering.
• Expertise in Python, TensorFlow, Keras, Scikit-learn, and Generative AI.
• Familiarity with Docker, Streamlit, and data tools like Pandas and SQL.
• Strong communication skills and the ability to work independently.

• English: Upper-intermediate or higher.

   

  What We Offer:

✔️ 18 vacation days + 12 sick leaves annually.
✔️ A high-tech workplace (MacBook Pro + Dell monitor).
✔️ Exciting projects with cutting-edge technologies.
✔️ Flexible work hours and competitive salary.
 

Ready to shape the future of AI/ML with us? 🚀 Apply now and be part of something extraordinary!

Role Summary

We are looking for a Senior ML Engineer who will be responsible for the end-to-end lifecycle of machine learning models, including design, training, evaluation, deployment, and ongoing optimization. In this role, the engineer will work on building and maintaining model ensembles, defining inference logic, establishing retraining workflows, monitoring model performance and drift, and integrating ML solutions into production systems that support real-time decision processes.

The platform follows a hybrid architecture where deterministic rule-based logic is applied first, and more complex scenarios are routed to a machine learning layer for deeper analysis.
 

Key Responsibilities:

• Design, train, fine-tune, and optimize machine learning models used for risk estimation, classification tasks, and automated decision support.
• Develop and maintain ensemble strategies that combine outputs from multiple models, including confidence-based routing and prediction aggregation.
• Build and manage retraining pipelines leveraging synthetic, curated, and eventually production-scale datasets to continuously improve model performance.
• Define evaluation methodologies, performance thresholds, fallback strategies, and human-in-the-loop review triggers for low-confidence predictions.
• Collaborate with backend and product teams to integrate model inference into real-time services and scalable production APIs.
• Improve model reliability, interpretability, and operational performance across early-stage and production workflows.
• Implement monitoring systems to track model drift, prediction quality, system latency, and conditions that trigger retraining.
• Explore and evaluate alternative domain-adapted foundation models when appropriate.
• Ensure traceability and auditability of model predictions while adhering to security, privacy, and deployment standards.
• Contribute to system architecture, MLOps practices, and deployment standards for machine learning solutions in secure cloud or on-premise environments.
   

What We’re Looking For:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related technical field.
• 5+ years of practical experience building and deploying machine learning solutions in production environments.
• Strong proficiency in Python and experience with modern machine learning frameworks such as PyTorch, TensorFlow, or similar tools.
• Solid understanding of core ML concepts including supervised learning, classification, ranking methods, model calibration, and evaluation techniques.
• Experience adapting and fine-tuning domain-oriented models, as well as working with multi-model or ensemble-based approaches.
• Hands-on experience developing ML pipelines covering training, validation, deployment, and iterative retraining.
• Familiarity with integrating ML systems into API-driven services, as well as working with containers, CI/CD pipelines, and model serving infrastructure.
• Experience with experiment tracking, model version control, and monitoring model performance in production.
• Ability to work effectively with incomplete, evolving, or partially labeled datasets in real-world environments.
   

Nice to Have:

• Experience working with AI systems in regulated or compliance-sensitive environments.
• Familiarity with multilingual machine learning use cases or models designed to support multiple languages.
• Experience applying model explainability techniques, confidence estimation, and human-in-the-loop review workflows.
• Exposure to vector search, semantic retrieval methods, or document understanding pipelines.
• Experience building or operating ML solutions in privacy-sensitive environments with strict data protection requirements.
  
  We offer:
• Flexible working schedule
• Fully remote work
• Compensation for medical, educational and sports activities
• Professional growth opportunities
• Internal knowledge-sharing talks
• Awesome team events and activities
• Paid vacation and sick leave

As a Senior AI Prototyping Engineer, you will work at the intersection of AI research, product engineering, and rapid experimentation. Your mission is to turn new AI capabilities into real, testable product experiences and help bring the best of them into production at Spark. You will collaborate closely with Product, Design, and our AI R&D team to explore ideas, build prototypes, evaluate them quickly, and help ship AI features to a global audience.

What you’ll do:

• Prototype new AI-powered features based on emerging AI capabilities
• Translate early ideas into end-to-end working prototypes
• Design and maintain evaluation pipelines (quality, latency, cost, reliability)
• Compare models, prompts, and approaches using metrics and structured evaluation
• Work closely with R&D to turn research insights into product-ready concepts
• Collaborate with product engineers to support production integration
• Iterate quickly based on evaluation results and product feedback
• Track relevant AI advancements and assess their applicability to Spark
   

About you:

• 5+ years of experience building software products or prototypes
• Hands-on experience working with LLMs and modern AI APIs
• Strong prototyping skills in at least one of: Swift, Java, Kotlin, TypeScript, Go or Python
• Experience building or using evaluation frameworks for AI systems
• Ability to compare solutions using metrics and data
• Product-oriented mindset with focus on real user value
• Strong communication skills across engineering, R&D, and product teams
• Comfort working on early-stage problems and defining solutions
   

Would be a plus:

• Experience with on-device ML (Core ML, LiteRT Next, ONNX)
• Familiarity with mobile or desktop product architectures (iOS, Android, Electron)
• Experience with supervised fine-tuning or tuning provider-hosted models
• Experience collaborating closely with designers or building demo UIs
• Prior work on AI features used by large user bases
   

What you will get at Readdle:

• Customer-centric culture. We put our users at the heart of everything we do. Every team member has the opportunity to engage directly with customers, gaining insights that shape meaningful, delightful experiences for millions worldwide.
• Relentless growth. We’re committed to mastery in our craft. We take ownership of our work, decisions, and outcomes, and we see feedback as a catalyst for growth. Every challenge is an opportunity to learn, evolve, and raise the bar.
• Exceptional people, exceptional team. Our greatest strength is our people. We care deeply about each other, work transparently, and celebrate collective success. Together, we build an environment where everyone can do their best work and grow beyond their potential.
• Real impact. We design products that truly matter. Our focus is on delivering tangible value, simplifying complexity, pushing boundaries, and continuously improving how we build and deliver solutions to our users.
• Culture of innovation. We embrace curiosity and creativity in everything we do. Fresh ideas are not just welcomed, they’re expected, celebrated, and turned into real innovations that shape the future of our products and company.

About

EdSpan is an innovative company in the EdTech space, building cutting-edge learning experiences for the next generation of students. Our collaboration with a US-based private school network helps us better understand user needs while expanding our B2C and B2B products to a broader audience. We are currently working on three major projects:

AI tutoring experience — an innovative project that brings real-time interaction with a 3D animated assistant powered by LLM technology. This virtual tutor helps students navigate challenges, provides guidance, and enhances the learning journey in a playful and engaging way.

Tutorpeers – a peer-to-peer tutoring platform with a young teachers marketplace, event booking features and Zoom-like online sessions with additional interactive learning tools.

Spark Incubator – LMS-like system designed to teach kids entrepreneurship.

We have well-defined processes, trying to automate routine things, conduct code reviews, use CI and CD pipelines to validate and ship our code. We use the Agile approach with daily stand-ups, bi-weekly sprints, and other Scrum artifacts. We keep the number of meetings to a minimum so that engineers can focus on writing high-quality code and delivering cool features.

Who you are

We’re hiring our first AI/ML Engineer to lead the development of our AI agents, including prompting, the RAG and evaluation pipelines, potential fine-tuning. So, you’ll play a key role in shaping the technical direction. We’re seeking someone with a strong understanding of machine learning and NLP fundamentals, capable of tackling complex challenges in agentic workflows and optimizing model performance across the stack.

Requirements

• At least 4 years of experience in the field of Machine Learning, working as a Data Engineer, Data Scientist, Machine Learning Engineer, or in a similar role.
• Bachelor’s degree in Computer Science, Mathematics, or equivalent practical experience;
• Proficiency in Python and common data science libraries (pandas, NumPy, scikit-learn);
• In-depth knowledge of machine learning principles, understanding of LLM architectures, prompt optimization, and fine-tuning strategies;
• Skilled in designing and optimizing RAG pipelines, including embedding generation, sparse and dense retrieval, and hybrid search techniques;
• Familiar with LLM evaluation metrics and tools (BLEU, RAGAS, DeepEval, and other);

• Upper-Intermediate level of English (B2) or above.

   

Highly desireable

• Proven experience building AI-driven workflows using frameworks such as LangGraph, AutoGen, or similar orchestration tools;

• Knowledge of AWS cloud and MLOps.

   

Responsibilities

• Design, implement, and optimize LLM prompts to ensure reliable outputs;
• Assist in developing and maintaining AI evaluation workflows, including designing evaluation guidelines and metrics;
• Help design and develop AI data pipelines: collection, storage, annotation, and model improvement;
• Leverage agent orchestration tools to improve and automate AI workflows;
• Collaborate with the product team to ensure AI capabilities power usable product features.

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

We are looking for a Middle ML & AI Engineer to join us as part of our team.

About the role

PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team.

About the project

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more.

Team

Engineering Manager, 6 ML & AI Engineers.

Work Environment

The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert, You will

• Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges.
• Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis.
• Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights.
• Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing.
• Collaborate & Communicate: Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively.
• Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources.

We’re looking for you if you have

• Bachelor’s/master’s degree in computer science, Machine Learning, Statistics, or related fields.
• 3+ years of experience in a similar role in a production environment.
• Experience in transformer-based language models
• Proficient in deep learning frameworks (i.e, TensorFlow and PyTorch)
• Demonstrated experience with natural language processing.
• Demonstrated experience with Python or other object-oriented programming frameworks.
• Demonstrated experience in using SQL for data extraction.
• Strong communication and data presentation skills.
• Strong problem-solving ability.
• Ability to communicate complex analysis in a clear, precise, and actionable manner.
• Experience working closely with software development team(s) is a plus.
• Experience building scalable systems in production is a plus.
• Knowledge of financial services, investment, banking, VC, and/or PE is desired but not required.

What’s in it for You

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Interview steps

1. Pre-Screening with the recruiter
2. Tech Interview + Live Coding (up to 1,5 hours)
3. System Design interview (up to 45 min)
4. Final interview with Engineering Manager (45 min)

Seeking a founding AI engineer to develop real-time speech to text systems for military and emergency services, focusing on Python, in Warsaw.

The company is a European defence tech startup building modern software for military and emergency services, with a focus on high-stakes, hostile environments. Backed by top VCs and strategic partners, the company is assembling a world-class founding team to deliver real-world impact

This Founding AI Engineer role exists to drive the development of bespoke, real-time speech-to-text systems for initial customers, working closely with the founders in a fast-moving, ambiguous environment.

You’ll work closely with the founders to evolve our early stack and help service our first customers (French, German, Ukrainian, and Polish military units, as well as emergency services).

Requirements:

• Experience with implementing Voice AI systems in resource constrained environments
• Strong execution skills
• Desire to build from zero

• Ability to thrive in ambiguous, fast-moving environments

   

Conditions:

•  Compensation will depend on experience; expected range €70–110K + equity
• On-site in Warsaw, Poland; relocation and visa sponsorship are available for strong candidates. 
• Candidates must be able and willing to work from the office in Warsaw.

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

We are looking for a Senior ML & AI Engineer to join us as part of our team.

About the role

PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical, and everyone has the opportunity to shape the long-term direction of our team.

About the project

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials, and many more.

Team

Engineering Manager, 6 ML & AI Engineers

Work Environment

The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert, You will

• Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges.
• Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis.
• Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights.
• Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing.
• Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems.
• Collaborate & Communicate: Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively.
• Tech Stack & Focus Areas:
• Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems.
• Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources.

We’re looking for you if you have:

• Educational Background: You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
• Experience: You bring 4+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems.

• Technical Expertise:

  - Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy, or others.

  - Experienced in natural language processing and modern LLM-based techniques.

  - Experience with full ML lifecycle, data preprocessing, training, evaluation stage, and monitoring techniques.

  - Skilled with SQL and data extraction methods.

• Innovative Thinker: You thrive on solving complex problems and are always exploring new trends in Generative AI.
• Collaborator & Communicator: You’re an excellent communicator able to collaborate and professionally express your thoughts to team members, other engineering teams, and stakeholders.
• Domain Knowledge: Exposure to financial services, investment banking, venture capital, or private equity is nice to have.

What’s in it for You

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learning through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Interview steps

• Pre-Screening with the recruiter
• Technical interview (up to 90 min)
• System Design interview (up to 45 min)
• Behavioral Round with Product Manager (45 min)
• Final interview with Engineering Manager (60 min).

We are looking for a Machine Learning Engineer to design and implement intelligent systems that power personalized digital experiences across connected devices and mobile applications.

This role is ideal for someone who thrives at the intersection of ML models, data pipelines, and product integration. You will collaborate closely with backend engineers, data scientists, and product managers to bring ML-driven features into production and continuously optimize them based on real-world usage.

Responsibilities:

• Design, train, and deploy machine learning models for use cases such as personalization, recommendations, and visual analysis;
• Build and maintain scalable, production-grade data pipelines (batch and real-time);
• Collaborate with product and engineering teams to translate product ideas into ML-powered features;
• Implement model observability, monitoring, and retraining workflows;
• Optimize inference performance and model serving in resource-constrained environments (e.g., edge or mobile);
• Contribute to the architecture of a modern ML platform within a cloud-native microservices environment;

• Work with backend teams to expose model outputs via APIs and integrate them into customer-facing experiences.

   

Requirements:

• 3+ years of experience in applied machine learning or data science;
• Strong knowledge of:
  • Supervised learning, recommendation systems, or computer vision;
  • Python and ML libraries such as TensorFlow, PyTorch, scikit-learn;
  • Building, deploying, and maintaining ML models in production.
• Familiarity with:
  • MLOps tools (e.g., MLflow, TFX, Airflow, Vertex AI);
  • Data pipelines and messaging systems (e.g., Kafka, BigQuery, dbt);
  • Model serving frameworks (e.g., FastAPI, TensorFlow Serving, TorchServe, ONNX);
• Comfortable collaborating with product, engineering, and analytics teams;
• Experience with cloud platforms (GCP, AWS, or Azure) and container-based deployments;
• Bonus: Experience with edge AI, mobile ML, or video/image processing pipelines.

We Offer:

• Remote work and flexible working hours.
• Legal support.
• Paid sick leaves.
• Paid vacations.
• Medical insurance. 
• Free English classes.

As a Senior ML Engineer, you will work on retention and churn prediction models built on large-scale behavioral datasets.
You will focus on feature engineering, model development, and building reliable training and batch inference pipelines that transform player activity data into production-ready predictive systems.
This role combines strong analytical thinking with practical ML engineering skills and close collaboration with the ML Lead.

Responsibilities

• Build and improve churn and retention prediction models using player behavioral data
• Design time-based features (rolling windows, aggregates, decay metrics)
• Train, validate, and iteratively improve gradient boosting models
• Develop reproducible training and batch scoring pipelines
• Analyze model performance and refine feature sets

• Support deployment of models into production scoring services

   

Requirements

• 4+ years of experience in ML Engineering / MLOps with production systems.
• Strong Python for ML and data processing (NumPy, pandas, scikit-learn)
• Experience with gradient boosting models (CatBoost, XGBoost, LightGBM)
• Experience building predictive models on tabular event data (churn, retention, risk)
• Strong understanding of time-based feature engineering and leakage-safe modeling
• Experience building ML training and batch inference pipelines
  Strong analytical and statistical thinking

Would Be a Plus

• Experience with behavioral feature engineering (rolling windows, aggregates)
• Experience with clustering or user segmentation
• Experience deploying ML services (FastAPI, Docker)
• Experience with ML lifecycle tools (MLflow or similar)
• Experience with workflow orchestration tools (Airflow, Prefect, Dagster)
• Experience with AWS or similar cloud environments
• Experience with deep learning frameworks (PyTorch / TensorFlow)

Tech Stack

• Python, NumPy, pandas, scikit-learn
• CatBoost / XGBoost
• SQL
• FastAPI, Docker
• MLflow (or similar)
• AWS or similar cloud environment

What We Offer

• Full ownership of a greenfield ML platform.
• Direct impact on revenue-driving retention systems.
• High level of autonomy in technical decisions.
• Competitive compensation.
• Flexible working format.
• Opportunity to shape the ML engineering foundation of the product.