Jobs ML / AI

EJAW is a software development and art creation agency that delivers services to game developers, media companies and other organizations alike around the world since 2010.

We are looking for an AI Engineer who will develop and implement internal AI-driven tools to automate processes, increase team efficiency, and integrate modern AI solutions into the company’s workflows and products.

Responsibilities

• Develop internal AI utilities and tools for optimizing and automating workflows.
• Integrate AI solutions into existing company processes and tools.
• Build prototypes and MVPs to test and validate new AI approaches.
• Maintain, improve, and support existing AI tools already used within the company.
• Collaborate with engineering, analytics, and business teams to identify tasks that can be optimized with AI.

• Document implemented solutions and prepare training materials for internal users.

   

Who We Are Looking For

• Experience building applications and services from scratch, including architectural design.
• Understanding of LLMs, prompt engineering, context windows, and model limitations.
• Experience integrating AI/LLM models via API (OpenAI, Anthropic, local models, RAG).
• Ability to translate business requirements into technical solutions.
• Skills in rapid prototyping (MVP) and delivering solutions to production.
• Willingness to collaborate with other teams (product, analytics, engineering).

Summary

ML Researcher / Engineer wanted to join a high-impact AI/ML team in performance marketing. The company runs campaigns across 25+ verticals, and you'll be researching, inventing, and implementing suitable ML models into campaign management, and porting successful pipelines and processes into a fully automated ML-driven system. Your models will influence real bidding, real budgets, and real campaign decisions.

What's the project about?

You'll be working with ML models for a performance-based (pay-per-lead) marketing platform that relies on prediction, scoring, and ranking. You’ll work with rich tabular data, build models that power optimization loops, and collaborate closely with business and Data Engineering teams to prepare your models for production, not just notebooks.

Required Skills:

• Experience building and validating tabular ML models
• XGBoost/LightGBM/CatBoost and similar models, corresponding Python libraries
• Defining metrics and design validation setups
• Confident feature engineering and data quality/wrangling
• Data pipelines

Would be a Plus:

• Experience with model serving (FastAPI, Bento, TorchServe)
• Monitoring: drift, data checks, stability
• Background in ranking/optimization models

What will you do?

• Build predictive, scoring, and ranking models directly impacting client campaigns and ROI
• Own dataset preparation, pipelines, processes, and validation strategies
• Design experiments that challenge assumptions and uncover real lift
• Collaborate with Software and Data Engineers on feature availability and consistency, packaging, and preparing models for real usage in production

Who you are?

You have strong, hands-on experience with tabular ML (XGBoost, LightGBM, CatBoost), you’ve trained and validated models, and you enjoy shaping experiments that prove whether a hypothesis lives or dies. You think clearly, value clean data, honest metrics, and production impact.

Trinetix is looking for a skilled AI-Native Engineer.

We are building an AI-native ecosystem that will power both our internal SDLC and the next generation of AI-driven solutions for our clients. Our R&D organization is developing context-aware AI agents, intelligent engineering tools, and graph-based knowledge systems that integrate directly into real development workflows. 

This initiative will reshape how software is planned, built, tested, and evolved—unlocking entirely new capabilities for our teams and our clients’ product engineering organizations. 

Requirements 

• Hands-on experience building RAG systems, vector search, or semantic pipelines. 
• Familiarity with knowledge graphs (Neo4j, RDF, property graphs, graph DBs). 
• Experience working with LLM APIs (OpenAI, Anthropic, Gemini, Llama, etc.). 
• Understanding of embeddings, text processing, chunking strategies, and retrieval optimization. 
• Experience building developer tooling, internal tools, plugins, or automation. 
• Ability to design and prototype systems independently. 

Nice-to-Have 

• Experience building agentic systems (AutoGen, LangGraph, crewAI, smolagents, function-calling agents, etc.). 
• Experience implementing GraphRAG or similar graph-structured retrieval approaches. 
• Familiarity with AI-powered SDLC tools (copilots, code intelligence, static analysis via LLM). 
• Understanding of software architecture and system design. 
• Experience with CI/CD pipelines, DevOps tooling, or platform engineering. 
• Ability to create ontologies or domain data models. 
• Experience working in R&D would be preferable. 

Core Responsibilities 

• Designing the core models and abstractions that will underpin our AI-native engineering ecosystem. 
• Developing intelligent mechanisms to surface the right information at the right time. 
• Creating assistive capabilities that streamline engineering tasks and workflows. 
• Driving innovation in how software teams interact with knowledge, context, and automation. 

• Collaborating across the organization to embed AI into the end-to-end delivery process. 

   

What We Offer 

• Opportunity to build a first-of-its-kind AI-native SDLC environment 
• Chance to influence engineering workflows across the entire company 
• Work within a high-impact, exploratory R&D team 
• Competitive compensation and growth opportunities 
• Full autonomy to prototype, test, and implement ideas 
• Professional training and English/Spanish language classes   
• Comprehensive medical insurance 
• Mental health support 
• Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more 
• Flexible working hours 
• Inclusive and supportive culture 

Job Summary

We are seeking a highly organized and detail-oriented professional to support project planning, execution, and control. This role combines the functions of a coordinator and junior project manager and requires strong communication skills, multitasking, and a proactive approach to problem solving.
The primary objective of this position is to ensure the smooth running of projects by coordinating teams, monitoring deadlines, maintaining documentation, and supporting communication with clients and stakeholders.

Key Responsibilities:
- Assist in planning and tracking project progress to ensure adherence to deadlines and key milestones.

- Communicating complex information in a clear and understandable manner.

- Communicating and collaborating with internal and external teams to ensure completion of tasks and alignment with project objectives.

- Monitoring data quality and promptly escalating risks or issues that may impact scope, timelines, or quality.

- Providing regular project updates to clients and stakeholders, aligning expectations, and ensuring transparency.

- Maintaining and updating key project documentation: budget reports, trackers, meeting minutes, delivery schedules.

- Monitoring production KPIs (speed, quality), conducting random quality checks to maintain consistent results.

- Identifying and escalating scope changes at client request to the appropriate internal teams.

- Organizing and conducting meetings with the team/clients to agree on goals, discuss issues, and discuss project status.

- Assisting in resolving project issues and optimizing work processes to improve efficiency.

Requirements:

- Higher education in business, IT, or a related field (preferred)
- Experience in project coordination, operations, or support
- Understanding of the project lifecycle and basic Project Management principles
- Excellent planning, organization, and multitasking skills
- Strong communication skills, ability to clearly communicate information
- Ability to handle risks and problems, results-oriented
- Experience with project management tools (JIRA, Trello, Asana)
- Skills in working with spreadsheets, reports, and calculations
- Mandatory language requirements

Fluency in English and Russian/Ukrainian (oral and written)
will be an advantage

• Experience in data annotation or markup;
• Understanding of Agile/Scrum, Kanban;
• Experience working with cross-functional teams;
• Basic knowledge of IT processes and software development.
   

About Procimo

Procimo builds industrial real-time location systems (RTLS), and machine data integrations across Europe.
 

We are looking for an AI Engineer who specializes in LLM-based automations, developer productivity tools, workflow acceleration, and scripting.

What You Will Do

This role focuses on building practical AI-driven systems that:

• generate documentation
• create test cases automatically
• build automation scripts
• generate boilerplate code
• integrate LLMs into DevOps/engineering workflows
• create API wrappers for customer use
• build internal AI copilots
• automate repetitive engineering or operations tasks
• support a customer project requiring AI-powered workflow automation

No model training. No research.
This is applied AI engineering for real workflows.

 

What You Will Build

1. Engineering Automations

• Code generation microservices
• Test generation (unit, integration)
• Auto-documentation pipelines
• Code summarizers and refactoring assistants

2. AI-Powered Tools for Customers

• Chatbot agents for data handling
• LLM-based API integrations
• Custom workflows to accelerate internal processes
• Small microservices (FastAPI, Node, Python) using LLM inference

3. LLM Integrations

• OpenAI API
• Anthropic
• Google AI
• Vector databases (Pinecone, Qdrant, Weaviate)
• Retrieval-augmented generation (RAG)
• Automating customer-specific workflows

4. Scripting & Automation

• Python scripts
• CLI tools
• Bash automation
• Internal utilities
• API connectors

5. Dev Acceleration

• Tools that help developers move faster
• Automated PR reviewers
• Branch/merge assistants
• CI/CD AI helpers (with DevOps team)

Required Skills

• Strong Python
• Experience with LLM APIs (OpenAI, Anthropic, Groq, etc.)
• Experience building automation scripts
• FastAPI or Flask experience
• Ability to build small AI microservices
• Experience integrating APIs
• Experience with prompt engineering
• Ability to build RAG pipelines (basic)
• JSON / YAML / config manipulation
• Good English (B2+)
• Ability to work independently in a remote team
• 2–5 years as Python dev / automation engineer
• 1+ year experience with LLM-based systems
• Built internal tools or automations

Nice to Have

• Vector DB experience
• LangChain or LlamaIndex
• Experience with DevOps or CI/CD
• Worked on internal developer tools
• Experience building no-UI CLI-based tools
• Experience in enterprise automation

What We Offer

• Fully remote
• Contractor role paid in EUR/USD
• Fast-moving environment, low bureaucracy
• Long-term collaboration
• Real product work + customer-facing project work
• Strong engineering culture

How to Apply

Send your Djinni profile or CV and include:

1. Your tech stack
2. Your experience with React + backend
3. Your monthly salary expectation.

Would you like to help democratize the future of video technology? At Qencode, we’re not just at the cutting edge of video technology, we’re redefining it! We partner with Fortune 500 companies like NVIDIA, AWS, and Google to build custom AI models for video transcoding and live streaming. and help power the future of video. From Per-Title Encoding AI and Speech-to-Text with translations, we’re shipping the feature that will help power the next generation of video platforms to deliver the best viewer experiences in the world.

Your Goals

• Find and evaluate relevant models (vision, video, diffusion, autoregressive, multi-task). Fine-tune / adapt them for our video use cases.
• Optimize inference: batching, quantization, model choice, hardware usage, caching.

• Set up metrics and evaluation loops (quality vs. speed vs. cost).

   

Benefits

• An opportunity to work on the latest video technology in a fast-paced and dynamic environment.
• Exposure to a wide range of work experience.
• Environment of innovation where new ideas are encouraged and rewarded.
• Work directly with the founding team.
• We offer education credits you can apply to any course you like

• 100% Remote position

   

About Us

Qencode is on a mission to develop cloud video APIs that democratize the latest video technology for developers around the world. Our platform combines transcoding, live streaming, storage, and global delivery in one unified API, leveraging the latest breakthroughs in artificial intelligence and video processing.

A trusted technology partner to the most demanding companies (including NVIDIA, AWS, Google, and DigitalOcean), Qencode serves clients ranging from high growth startups to Fortune 500 around the world.

Founded in 2017, Qencode is headquartered in Los Angeles, CA.

Who are we?

Fuel is on a mission to unlock billions of dollars in GDP by helping SMBs make better financial decisions every day. We manage over $500M in customer P&Ls through our FP&A platform, combining AI with hands-on CFO expertise to deliver enterprise-grade finance - without the enterprise price tag or complexity.

fuelfinance.me
instagram.com/fuelfinance
youtu.be/eI5VH2Ks9o4

Who are we searching for?

We’re looking for an AI Researcher who’s excited to build real AI features used by startup founders every day. You’ll help make our AI Copilot smarter, more accurate, and more helpful - working with modern LLMs, real financial data, and a team that moves fast. If you’re curious, hands-on, and ready to grow, you’ll enjoy this role.

Team structure: 1 Engineering Manager, 2 Senior Full-Stack Developers, 1 Middle Full-Stack Developer, an AI Researcher, and a Head of R&D (responsible for product management and product strategy).

What are your responsibilities?

• Help build and improve our AI Copilot - including many different AI agents that will help our users to work with the product and make decisions
• Create and refine prompts so the AI gives accurate, helpful, and user-friendly answers.
• Set up and improve systems that help the AI remember context during longer conversations and increase the accuracy rate of answers
• Work on making the AI faster and cheaper to run by optimizing latency, token usage, and retrieval quality.
• Integrate modern LLMs (GPT-4, Claude, etc.) into our product with proper error handling and safety checks.
• Use function calling, embeddings, vector search, streaming responses, and async processing to build new AI features.
• Experiment with different AI models and configurations to see what performs best in real scenarios.
• Stay up to date with the latest AI research and apply useful techniques to our product.
• Prototype new AI abilities - such as predictions, automated reasoning, or small autonomous agents.
• Create and maintain datasets and automated tests that check how accurate the AI is across financial use cases.
• Prepare and structure financial data for AI use, and help build data pipelines for RAG (Retrieval-Augmented Generation) systems.

What are the preferred requirements for the role?

Must-have skills:

• 1–2+ years of AI/ML experience (internships, projects, research, or work).
• Solid Python skills and ability to write clean, maintainable code.
• Experience with LLM APIs (OpenAI, Anthropic), embeddings, vector databases, and RAG systems.
• Understanding of prompt engineering fundamentals and LLM limitations.
• Ability to evaluate AI quality using structured datasets, metrics, and experiments.
• Knowledge of basic ML and NLP concepts (supervised learning, embeddings, evaluation metrics).
• Strong problem-solving mindset, fast iteration speed, and high ownership.

• English B2.

   

Nice-to-have skills:

• Experience with LangChain, LlamaIndex, or similar frameworks.
• Familiarity with Pinecone, Weaviate, Chroma, or other vector DBs.
• Knowledge of financial data logic or accounting basics.
• Understanding of AI safety, guardrails, and hallucination mitigation.

• Experience with experimental design, A/B testing, or statistical validation.

   

Reporting Structure

You will report to the Head of R&D and the Engineering Manager.

Recruitment Process:

• Recruiter interview
• Technical interview
• Test task
• Test task review call with the hiring manager (*optional stage)
• Cultural fit interview

Why work with us?

• Build applied AI that powers financial intelligence for global startups.
• Full ownership: what you ship goes directly into production and impacts real customers.
• Learn deep fintech and financial logic - rare, high-value expertise.
• Work directly with senior engineers and founders.
• Move fast, experiment often, and grow into a mid-level AI Researcher role quickly.
• Flexible schedule, 18 days of paid vacation, 10 paid sick days, and a low-ego team culture.

We are seeking a proactive AI Integrator/ Automation Specialist to analyze client business processes, identify automation opportunities, and implement AI-driven solutions. This role involves working closely with stakeholders to design optimized workflows and deploy AI agents using platforms like Zapier, Make.com, and n8n. You’ll integrate tools such as CRM, ERP, Notion, Slack, Gmail, Hubspot, and ensure smooth rollouts through testing and continuous improvement.

You will be working on our internal product, focused on process optimization and automation for clients.

REQUIREMENTS

We’re looking for AI Integrator/ Automation Specialist who has:

• Hands-on experience with AI tools and no-code/low-code automation platforms (Zapier, n8n or Make);
   
• Strong understanding of APIs, webhooks, and workflow logic;
   
• Familiarity with basic programming/scripting Python or Node.js(a plus);
   
• Knowledge of AI/ML concepts such as NLP, LLMs, prompt engineering;
   
• Analytical thinking and the ability to break down complex problems into scalable automation flows;
   
• Excellent communication, presentation, and teamwork skills.

RESPONSIBILITIES

Objective:
Analyze existing business processes, identify opportunities for improvement through automation tools, and implement AI agents to streamline operations — working directly with client stakeholders to ensure alignment and success.

We're looking for AI Integrator/ Automation Specialist who will:

• Analyze existing customer business process in tight cooperation with stakeholder, define "state-to-be" -= optimised BP, implement improvements via automation and agents to identify automation opportunities;
• Design and deploy AI agents using platforms such as Zapier, Make.com, n8n, etc;
• Integrate AI solutions with customer tools (e.g., CRM, ERP, Slack, Notion, Gmail, Hubspot);
• Test, monitor, and fine-tune AI agents to ensure reliability and performance;
• Collaborate closely with product, development, and client teams, customer stakeholders, process owners and decision makers to ensure smooth rollouts.
   

ABOUT PROJECT

Description

Easyflow is here to boost your business with AI agents that automate routine tasks and free up your team for high-impact, strategic work.

Choose the AI solution that fits your needs – data processing, decision making, performance reporting, and task execution. Of course, these are not all the possibilities!

Nothing from scratch! Easyflow AI agents integrate smoothly into your existing workflows, handling the repetitive tasks so your employees can focus on business growth.

Project Team

8 people

WHAT WILL YOU GET WITH KINDGEEK

We want you to thrive and feel supported

• Professional growth: at Kindgeek, we want our employees to grow and achieve ambitious professional goals. We support professional development with training and certification refunds and provide regular feedback and technical reviews.
• Benefits package: Kindgeek offers all team members competitive compensation and a benefits package that includes 18 working days of fully paid vacation, 10 compensated by 50% sick leaves without a note from the doctor, and an opportunity to take study leaves. Depending on how long you stay in the company, you can receive different health insurance packages from our partners.
• Personal growth: as a part of our team, you will have access to corporate English courses with a 50% reimbursement, take advantage of our offline library and access a large selection of corporate training and classes. Also, every employee can request any internal or external training or certification if it applies to his or her work responsibilities.
• Geek community: at Kindgeek, we value community – even in the full-scale invasion times, we take every opportunity to stick together. Our geeks organise various online and offline clubs – from stretching and skiing to English. We volunteer together and support each other.
• Flexibility: Kindgeek offers a hybrid working model. Team members can work remotely or from the office or Kindgeek London Hub – an innovative cafe-style co-working in Lviv (it's pet-friendly!).

We encourage you to apply

At Kindgeek, we encourage everyone to apply – regardless of nationality, race, gender, marital status, disability, sexual identity, or religion. We are growing into an inclusive, equal-opportunity company where only professionalism, competence, and ideas matter. We are committed to supporting mobilised employees and veterans joining Kindgeek and facilitating their career development. We aim to bring equal opportunities to all team members and candidates – especially those underrepresented in technological companies.

RESPONSIBILITIES 

• Work closely with sales, delivery, and expert teams to align client needs with data-driven solutions, effectively connecting business challenges to our offerings
• Own the end-to-end presales process, including opportunity qualification, solution design, proposal development, demos, and client presentations
• Lead workshops and meetings with clients to gather business objectives and technical requirements, ensuring alignment between client goals and our solutions
• Architect tailored data solutions, encompassing cloud-native platforms, data integration, advanced analytics, and AI/ML models, to provide actionable business insights
• Develop competitive proposals, pricing models, and value propositions to successfully close opportunities and secure engagements
• Stay updated on emerging trends in Data & Analytics, Cloud, and AI, providing strategic advice to clients and supporting innovation within the practice
• Contribute to the development of reusable solution frameworks, accelerators, and methodologies to drive operational efficiency
• Act as a mentor and knowledge-sharer across the team, supporting skill-building and best practice dissemination.

QUALIFICATIONS  

• Extensive experience in presales, solution architecture, or consulting, with a focus on Data/AI technologies and related business use cases
• Strong technical knowledge of data platforms (e.g., Databricks, Snowflake, AWS/Azure/GCP Data Services), ETL processes, data modeling, BI tools, and data visualization frameworks (e.g., Power BI, Tableau)
• Familiarity with data science techniques and proficiency in analyzing client needs to align with technical solutions
• Excellent communication and storytelling skills—able to translate complex technical concepts into clear, client-friendly narratives
• Proven track record in engaging with senior stakeholders and delivering impactful presentations or pitches
• Experience in creating detailed proposals, RFP responses, and pricing/engagement models for data-related services or projects
• Understanding of strategic consulting principles and the ability to develop future-state recommendations and roadmaps for client success
• Strong organizational, leadership, and project scoping abilities, with a proven ability to manage complex tasks in a fast-paced environment
• Bachelor's or master's degree in data science, Computer Science, Business Analytics, or a related field (or equivalent professional experience)
• Excellent English communication skills, with the ability to clearly and effectively explain technical concepts to diverse audiences.

US Company is searching for a couple of Senior AI Engineers into a complex, enterprise-level project for building sophisticated Agentic Systems, Adaptive RAG engines, capable of autonomous research to solve complex, real-world problems. Interesting project with cutting edge technologies, distributed team, full-time, an official contract. Remote work, flexible schedule.

Brief project description:

• The product is SaaS, which allows multiple functions for sustainability & operational risk management. The project is dedicated for developing of AI Center of Excellence.

Key areas of responsibility:

• Platform Engineering: Build and enhance scalable, reusable AI services (e.g., "Adaptive RAG Engine," "Text-to-SQL Service," and "Agentic Runtime") that product teams can easily integrate.
• Technical Contribution: Collaborate with principal engineers and architects. Participate in code reviews, write robust tests, and help drive the adoption of engineering best practices (CI/CD for AI, evaluation).
• Agentic Innovation: Develop and implement multi-agent systems capable of complex reasoning, planning, tool use, and self-correction (using frameworks like LangGraph or PydanticAI or Databrics' Agent Brics).
• Data Engineering: Load datasets and knowledge sources from external systems. Shape and transform data to optimize it for Hybrid or Semantic Search, providing the best possible knowledge context to LLMs.
• Production Readiness: Help move prototypes to production with a focus on latency, cost optimization, and reliability. Implement robust evaluation pipelines (LLM-as-a-Judge) to measure quality and prevent regression.
• Collaboration & Enablement: Partner with product teams to implement their AI roadmaps. Translate business requirements into concrete technical implementations.

Required skills (at least one or more for each category):

• Professional Experience: At least 5 years of professional experience in software development or Data Science.
• Education: Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, Physics, or a related natural science field.
• Python Expertise: At least 5 years of hands-on experience with Python, writing clean, maintainable, and production-ready code.
• Strong Software Engineering Foundation: distributed systems, API design (FastAPI), and cloud architecture.
• Data Engineering Expertise: Data Engineering and Big Data (DeltaLake, Databrics etc.) experience are a big plus.
• GenAI Engineering Experience: Hands-on experience building production RAG systems. Chunking strategies, hybrid search (dense + sparse), re-ranking, and context management.
• Agentic Workflow Experience: You have experience building systems where LLMs use tools, maintain state, and execute multi-step plans. You are familiar with the challenges of loops, recursion, and hallucination mitigation.

Tech Stack:

• Languages: Python, TypeScript
• AI Frameworks: LangChain/LangGraph, Pydantic AI, MosaicAI
• Models: Azure OpenAI (GPT-4o, o1), Open Source LLMs (Llama 3, Mistral)
• Infrastructure: Azure AI Search, Azure Container Apps, Delta Lake, Vector Databases like Databrics Vector Search.

Work conditions:

• Distributed team, remote work.
• Kanban or scrum approach, 5-6 team members / team.
• Full-time (40 hours per week).
• Official contract: salary, sick-leave days, holidays, vacations.

Hiring process:

• Step 1 - preliminary interview (main questions) - 20 mins
• Step 2 - internal tech interview (tech questions) - 40-50 mins
• Step 3 - tech interview with team leader and architect - 1 hour

Join our team as a Machine Learning Engineer, shaping the future of Generative AI with cutting-edge demos, scalable architectures, and hands-on development.

 We’re looking for a passionate Machine Learning Engineer to join our team and dive into the exciting world of Generative AI.  You’ll get hands-on experience with cutting-edge demos and proof of concepts (POCs), turning bold ideas into reality. The ideal candidate has solid Back-end engineering skills and is curious about Generative AI development. If you’re familiar with MLOps, large language models (LLMs), or concepts like Retrieval-Augmented Generation (RAG) is a plus, as is experience with Front-end languages! Experience in the Financial Services domain, particularly Banking, will be a big plus. 

You will be exposed to a variety of tasks, including: 

• Develop proof of concepts (PoC). Test and validate new ideas 
• Drive implementation. Optimize and transform data solutions to improve business outcomes 
• Help with proposals as a technical consultant.  

Job Description

• Assist in building and testing Generative AI demos and POCs 
• Support the design of simple, scalable architectures for Generative AI applications 
• Work with team members to integrate AI components into larger systems 
• Use MLOps practices to help automate parts of the model development process 
• Follow guidelines to ensure that Generative AI applications are secure and meet basic governance standards 
• Help deploy AI applications on cloud platforms or on-premises setups with team support 
• Adapt to a fast-paced environment with evolving project needs 
• Keep up with AI trends and apply them to projects with guidance 
• Advise clients. Understand their needs, analyze possible solutions, and present the best options 

Qualifications

• 4+ years of experience in IT industry, with at least 2-3 years of experience in machine learning 
• Solid Back-end engineering skills, particularly with Python (e.g., Django, Flask, or FastAPI). 
• Experience with pre-sales activities and opportunity processing 
• Basic experience with databases or tools like vector databases (e.g., Pinecone, Weaviate, Faiss) 
• Familiarity with AI frameworks such as TensorFlow, PyTorch, or Hugging Face 
• Understanding of CI/CD pipelines  
• Knowledge of RAG or AI application fundamentals (security, governance, etc.) 
• Experience with cloud platforms (AWS, Google Cloud, Azure) or on-premises setups 
• Ability to solve problems and handle shifting priorities with team support 
• Experience with client-facing roles 
• Ability to demonstrate ideas and solutions clearly and confidently 
• Bachelor's or Master's degree in computer science, machine learning, artificial intelligence, or a related field 

• Upper-Intermediate level of English 

   

  Would be a plus

• Knowledge of other programming languages, such as Java or Go 
• Experience with open-source projects or exposure to tools, such as Airflow or Spark 
• Familiarity with containers (e.g., Docker) or orchestration tools (e.g., Kubernetes) 
• Experience in the Banking and Financial Services domain  
• Experience with prompt engineering or fine-tuning LLMs 

Description

GlobalLogic has been engaged in exploring opportunities to implement ML/AL/GenAI-powered applications for multinational industrial conglomerate since 2023, aiming to enhance business efficiency.

You will be working on projects implying complex data processing pipelines for predictive maintenance anaylitics.

Projects tech stack: Kubernetes, Terraform, Helm, LLM, ML, AI, Asyncio, Python, Pandas, HayStack, Azure Blob Storage, Azure DevOps, SQL Alchemy, Docker, Docker Compose, PySpark, PostgreSQL, FastAPI

 

Requirements

• 4+ years in backend/performance engineering (Python and/or C++) with production services.
• 1+ year hands-on with GPU-accelerated AI/ML inference (Triton/TensorRT/CUDA) in production.
• Proven delivery of NIM- or Triton-based microservices behind REST/gRPC (autoscaling, rollout strategies, monitoring).
• Practical experience profiling and removing GPU bottlenecks (memory, kernels, launch configs, batching, concurrency).
• Strong system design skills (throughput/latency/SLA) and high code quality (tests, reviews, docs).
•  

Job responsibilities

• Design, build, and operate NIM-powered microservices (LLM, Embeddings, Reranker, ASR/TTS, VLM) for product features.
• Optimize inference end-to-end – TensorRT-LLM engines, quantization, batching, concurrency, KV-cache, CUDA kernels where needed.
• Package & deploy via Triton + Kubernetes (Helm), set up GPU scheduling, MIG/MPS, canary/blue-green strategies.
• Expose stable APIs (REST/gRPC), versioning, auth/rate-limits; deliver SDK/client wrappers for internal teams.
• Instrument – metrics/logs/traces (Prometheus/Grafana/Otel), DCGM, alerts, SLOs, runbooks, cost/capacity planning.
• Collaborate with DS/Platform/Product on priorities, model choices, and integration paths; ship incrementally.
• Maintain quality & security: tests, CI/CD, IaC, dependency hygiene, secrets management, network policies.
• Document designs, benchmarks, and operational playbooks.

Tools

NVIDIA – NIM, Triton, TensorRT / TensorRT-LLM, CUDA, cuDNN, cuBLAS, NCCL, Nsight, DCGM
Backend/AI – Python, FastAPI, AsyncIO, PyTorch/ONNX, vector search/RAG
Platform – Docker, Kubernetes, Terraform, Helm, Azure Blob/DevOps, PostgreSQL, Redis, Kafka, Grafana/Prometheus/Otel

#WeAreIn for jobs that impact everyone's life. What if your ideas could change the way the world connects, powers up, or thinks? As a Senior AI/ML Engineer on our Research & Development team, you'll have the opportunity to merge creativity with your technical expertise by shaping the future of technology, driving groundbreaking projects, and bringing new ideas to life. Are you in?

Key responsibilities in your new role

Work on innovative IoT, Industrial, and Automotive technologies in a fast-moving R&D team, turning ideas into real products and patents. 

• Design and develop efficient Neural Network (NN) models with sophisticated architectures for embedded domain, strongly involving application-specific knowledge
• Plan and execute practical experiments to collect/create high-quality datasets
• Combine NN and classic signal processing approaches to make the highly efficient pipelines of problem solving
• Implement the developed solutions under real-world end-user scenarios and requirements and verify its functionality at the Infineon hardware (PSOC, wireless SOCs)
• Help with ML/AI related design and implementation in different team projects

Your Profile

Qualifications and skills to help you succeed

• A master’s degree in electrical engineering or computer science (or equivalent) and 2-3 years of related research/engineering experience
• Strong background in mathematical modeling and numerical analysis
• Knowledge of modern NN architectures, Machine Learning tools and trends
• Proficiency in Python and at least one ML framework (PyTorch or TensorFlow)
• Experience with at least one of the following: signal / speech /image / video processing / wireless communication is a plus
• Understanding of embedded systems and Knowledge of Nvidia Deep Learning framework, and familiarity with patents, papers, publications on relevant technical subject matter is a plus
• Intermediate English writing, communication, and presentation skills

Please send us your CV in English.

Description
About ProfiSea Labs 
ProfiSea Labs is an innovative AI-powered multi-cloud management platform designed to help CloudOps engineers and IT managers optimize cloud usage, reduce costs, and automate workflows through intelligent, next-generation technologies. 
We’re building a new AI division focused on agentic GenAI systems — autonomous agents capable of reasoning, learning, and interacting with users and systems. We’re looking for curious, ambitious minds to help us design, train, and scale these agents. 

Requirements
 

• English C1+ (strong writing and reading skills). 
• Python knowledge — basic to intermediate. 
• Excellent literacy and attention to detail. 
• Experience with LLMs (e.g. GPT, Gemini, Claude, Copilot). 
• Understanding of Agentic AI design or prior experience building agents is a plus. 
• Analytical mindset and creativity in solving interaction problems. 
• Strong interest in AI technologies and willingness to learn continuously. 
• Students or recent graduates are welcome to apply — the main requirement is your curiosity and drive to grow. 

Responsibilities

 

• Develop, optimize, and test AI prompts and workflows in English. 
• Create dialogues, flows, and interaction scenarios for AI agents. 
• Tune the agent’s behavior across various contexts. 
• Work with test flows, analyze failures, and improve model responses. 
• Collaborate with product managers, designers, and developers to integrate AI into real products. 
• Experiment with LLMs (Large Language Models) and contribute to fine-tuning and configuration processes. 

Test Task 
A short technical and creative task will be required to assess Python proficiency, prompt design ability, and reasoning skills. 

Working conditions
 

• Opportunity to take part in building an innovative AI product. 
• Ongoing learning and mentorship from experienced AI engineers. 
• Flexible schedule and fully remote work. 
• Competitive compensation. 
• Friendly and professional work culture. 
• Freedom to influence product development and bring your own ideas to life. 

 
At ProfiSea Labs, we don’t just use AI — we teach it to think. Join us if you’re ready to do the same.

Numerical Technologies, a leading provider of software development and consultancy services for financial institutions, is looking for talented people experienced in Math and Python who will be responsible for development, testing, implementation, debugging and support of sophisticated financial applications.

Joining Numerical Technologies is a unique chance that provides the opportunity to work alongside experienced professionals on impactful, quantitative projects across North and South America, Europe, the Middle East, Africa, CIS and South Asia. This position is a chance to work hand-in-hand with expert quantitative researchers and quantitative engineers to create and implement research and simulation tools that leverage existing automated trading software and sophisticated statistical techniques and technologies.

Do you enjoy the process of problem solving, a process where you recognize areas of improvement and iterate and innovate to improve? Does your curiosity and desire to learn drive you? If this sounds like you, don't miss this opportunity to gain valuable experience in a highly competitive and demanding fintech industry.

What are we looking for?

◼️ Deep understanding of Applied Mathematics: Probability Theory and Statistics, Numerical Methods, Linear Algebra, Optimization

◼️ Bachelors, Masters or Phd in Physics, Mathematics, Statistics; or equivalent experience (we also welcome students)

◼️ At least 0.5 year of commercial experience as a Python Developer

◼️ Practical experience with AI technologies, particularly in applying them to solve real-world business problems
◼️ Basic understanding of NLP concepts
◼️ Familiarity with LLMs, embeddings, vector databases, and RAG architectures

◼️ Willingness to learn together with a team of professionals
◼️ Experience working with LLM APIs (OpenAI, Anthropic, Azure OpenAI, etc.)

◼️ Knowledge with Git, Jira, and Confluence

◼️ Excellent communication skills

◼️ Intermediate and higher level of English.

Please mention in your application any participation or awards in mathematics, physics, or programming Olympiads.

What will you be doing?

◼️ Collaborating with cross-functional teams to develop AI-driven solutions that address specific business challenges.

◼️ Continuously learning and staying updated on the latest AI technologies and best practices, applying this knowledge to improve existing projects.  

What additional skills will help you stand out?

◼️ Experience in Machine Learning

◼️ Participation in Kaggle competitions

◼️ Experience working at a financial institution

◼️ Experience working with cloud platforms (AWS, Azure)

We offer:

◼️ Competitive compensation depending on experience and skills

◼️ Regular assessments and salary reviews

◼️ Compensation for sick lists and regular vacations

◼️ Health insurance

◼️ English classes with certified English teachers

◼️ Flexible working schedule

◼️ Friendly team and enjoyable working environment

◼️ Comfortable, spacious office within 10 min from all three Metro lines.

◼️ Corporate and social events.