Jobs ML / AI

We are looking for an ML Engineer to join Intelliarts and contribute to an innovative EV charging management platform that powers large-scale charging networks worldwide.

The platform processes real-time telemetry and charging session logs from thousands of stations, creating a comprehensive data foundation for intelligent monitoring and predictive capabilities. As the ML components are just beginning their journey to production, you'll play a key role in designing and implementing the first generation of machine learning solutions focused on anomaly detection, predictive maintenance, and behavioral pattern recognition.

Your work will enable charging network operators to proactively identify equipment issues, predict potential failures before they occur, and maintain optimal service quality — transforming raw charging data into actionable intelligence that keeps the infrastructure running smoothly.

Intelliarts Ltd. is a boutique software engineering company established in 1999, in Lviv, Ukraine. We launch and support dedicated development teams that help startups and technology companies worldwide to build awesome products. With a flat structure, we don’t offer traditional vertical career growth. Instead, we created a working environment encouraging professional and personal growth: challenging projects, tight integration with teams abroad, and learning from experienced colleagues.

Responsibilities

• Translate business/optimization needs into ML problems
• Design and own end-to-end data/feature pipelines
• Build, validate, and productionize models for forecasting, classification, and anomaly detection on operational data
• Define evaluation metrics and experimentation loops (offline simulation, A/B tests, post-deployment monitoring)
• Integrate models into microservices and optimization workflows (batch/real-time inference, APIs, containers)
• Establish MLOps foundations: versioning, CI/CD, monitoring, and drift detection.

• Collaborate closely with domain/optimization engineers and stakeholders to ensure models drive measurable impact

   

Personal Profile Overview

• Comfortable owning the full ML lifecycle (problem framing, data, model, deploy, observe)
• Degree in Data Science, Computer Science, Software Engineering, or related field
• Stability in previous employment history, with a tendency to remain with employers for extended periods
• Experience in managing diverse project activities (not just coding, but also requirements analysis, preparing estimations)
• Clear and effective communication skills, both verbal and written, and the ability to convey ideas, information, and messages accurately and efficiently
• Proficiency in fostering effective collaboration and teamwork activities
• Ability to analyze information, assess situations, and make decisions based on sound reasoning and logical evaluation
• Focus on delivering exceptional customer experiences and prioritizing customer satisfaction
• Analytical thinking, problem-solving abilities, and a strategic approach to technical challenges
• Transparency in sharing information within a team and company

• Willingness to acquire new knowledge and insights to enhance professional growth and performance

   

Required Skills

• 3+ years of hands-on experience in applied machine learning, with a strong focus on classical ML algorithms and structured data
• Experience with Time Series (forecasting, demand prediction) models like ARIMA, Facebook Prophet, LSTM, Gradient Boosting for Time series.
• Deep understanding of unsupervised learning (clustering, anomaly detection). Experience with unsupervised anomaly detection (Isolation Forest, Autoencoders, Gaussian Mixture Models).
• Experience handling high-volume datasets using Big Data technologies like Apache Spark
• Proven track record in MLOps: building end-to-end ML pipelines, deploying models to production, and managing model retraining lifecycles
• Familiarity with cloud-based ML infrastructure (AWS/GCP/Azure)
• Strong expertise in feature engineering for telemetry data (handling irregular timestamps, resampling, missing values)
• Proficiency in error analysis and debugging ML models, including use of metrics like MAE, RMSE, F1, ROC-AUC, and calibration curves

• English Upper-Intermediate (B2)

   

As A Plus

• Experience with Semi-supervised learning and Self-supervised learning for time-series
• Experience with the energy/EV charging domain
• Survival analysis (Weibull models, Cox models)
• Remaining Useful Life (RUL) estimation

• Experience with Kafka / Kinesis / PubSub and stream processing (Flink, Spark Streaming or similar)

   

We Offer

• Fuel your professional growth with paid online courses, conferences, certifications, English classes, a corporate library, and a leadership program
• Thrive in a culture of trust and cooperation with no time trackers and minimal bureaucracy
• Enjoy 20 business days of paid vacation, plus state holidays to prioritize your well-being
• Experience an open-door culture, transparent communication, and top management at a handshake distance
• Enjoy comfortable office vibes with no open space policy, relaxing sports areas, a spacious bar/kitchen, and more
• Achieve balance with our hybrid/fully remote work model
• Receive fair and competitive compensation
• Fuel your productivity and foster a sense of community with complimentary daily lunches
• Participate in meaningful initiatives supporting Ukraine’s victory
• Take flexible sick leave without burdensome documentation and access parental benefits
• Choose from comprehensive medical insurance or a sports compensation package
• Have fun with regular team-building activities, corporate events and celebrations, and unique initiatives like Week in Lviv

Job Description

• 8+ years of experience as an AI/ML Engineer or in a similar data-intensive role
• Hands-on expertise in AI/ML pipelines and model lifecycle management
• Strong experience in data curation, feature engineering, and preparing datasets for ML
• Proven track record integrating ML solutions into CI/CD pipelines
• Experience training, fine-tuning, evaluating, and deploying ML models in production environments
• Proficiency in Python for ML integration and automation
• Knowledge of Jira or other issue tracking systems
• Upper-intermediate English proficiency (spoken and written)

Job Responsibilities

• Lead AI-driven initiatives to integrate smart automation into CI/CD pipelines, accelerating development and reducing manual overhead
• Curate, annotate, and optimize datasets to train models that improve engineering processes
• Build recommendation systems and fine-tune models to enhance team decision-making and workflow efficiency
• Implement AI-based Jira issue triaging to streamline task management
• Collaborate closely with developers and product teams to embed ML solutions that deliver measurable impact

Department/Project Description

We are seeking a highly skilled AI/ML Engineer to lead the digital transformation of our software development and testing workflows.

Our client is a leading American multinational information technology corporation, headquartered in California, USA, recognized as one of the world's largest companies in the IT sector. 

The company specializes in developing and manufacturing computing, data storage, and networking hardware, alongside designing software and delivering services. Their major product lines include personal computing devices, enterprise servers, and a diverse range of printers and imaging products.

The project involves the development of a comprehensive software package for a large OEM vendor. This software is designed for both enterprise and consumer environments and is installed on endpoint devices. It integrates various cutting-edge services, such as AI companion tools, workplace management solutions, and Smart Office integration.

As part of the GlobalLogic team, you will grow, be challenged, and expand your skill set working alongside highly experienced and talented people.

If this sounds like an exciting opportunity for you, send over your CV!

We’re building an intelligent AI agent that doesn’t just answer questions, but reasons, retrieves, understands context, and acts across documents, SQL data, and visual inputs.

If you're excited by rapid experimentation, real users, and pushing LLMs beyond chat - this role is for you.

     What You'll Do

• Design and implement an intelligent chatbot/agent capable of reasoning over documents, structured SQL data, and multimodal inputs
• Fine-tune or integrate LLMs (OpenAI, Ollama, Deepseek, etc.) for contextual Q&A
• Develop text analytics pipelines (sentiment analysis, classification, topic modeling)
• Design image processing systems for tagging, feature extraction
• Experiment rapidly with new ideas, validate hypotheses
• Support and work with Hadoop clusters for big data processing.
  
  What We're Looking For
• 2+ years of experience as ML/AI engineering or in a similar role
• Bachelor’s degree in Computer Science, or a related field
• Strong proficiency in Python, and solid experience with ML frameworks
• Deep understanding of NLP and CV fundamentals
• Hands-on experience with AI/ML projects deployed in production
• Experience integrating LLMs, retrieval pipelines in multi-step reasoning agents
• Practical experience in text/image processing
  
  Nice to Have
• Knowledge of OCR, captioning
• Experience with prompt engineering
• Experience in predictive modeling

We are looking for a Junior+ AI/ML Engineer to join our team at LITSLINK and work on building and integrating machine learning solutions into real production systems.

This role is perfect for someone who already has initial hands-on experience with ML and wants to grow in real product environments with real data, models in production, and close collaboration with backend teams.

Location — Remote
Experience Level — Middle / Middle+

 

Qualifications

. Commercial or strong project-based experience in Machine Learning
. Strong Python skills for data processing and ML development
. Experience with ML frameworks (scikit-learn, PyTorch or TensorFlow)
. Understanding of core ML concepts (supervised learning, model evaluation, overfitting)
. Experience with data preprocessing (Pandas, NumPy)
. Basic understanding of ML model deployment in production environments
. Upper-Intermediate English or higher

Key Responsibilities

. Develop and integrate ML models into production systems
. Work with data preprocessing, feature engineering, and model training
. Build and support basic ML pipelines and MLOps processes
. Collaborate with backend engineers on ML integration via APIs
. Participate in experiments, model evaluation, and performance monitoring
. Contribute to improving ML code quality and best practices

What We Offer

. Long-term, full-time cooperation on international projects
. Remote-first format with flexible working hours
. Opportunity to grow into Middle AI/ML Engineer role
. Work with real production systems and real users
. Mentorship from senior ML and backend engineers
. Professional growth in applied AI and MLOps direction
. Stable workload and long-term cooperation with LITSLINK

What happens after you apply

. Quick screening call with our recruiter
. Technical interview with ML / engineering team
. Cooperation offer

Вітаю тебе, фахівець \0/

Мене звати Кирил, я допомагаю зібрати дрім тім для своїх друзів з Hooh – це стартап від фаундерів Depositphotos. Команда сіньорна та досвідчена, тому опортʼюніті, ІМХО, дуже кльове.

отже

Hooh – це b2c AI-продукт, який робить складні документи простими для розуміння та дій. 

Він дозволяє завантажувати файли (PDF, фото, скани), автоматично розпізнавати їхній вміст, витягувати ключову інформацію та отримувати короткі, зрозумілі підсумки.
 

Ми успішно випустили v1, підтвердивши нашу основну AI-пайплайн-архітектуру. Зараз ми розширюємо продукт до “scanner-grade” PDF-досвіду, що поєднує глибоке AI-розуміння з надійним редагуванням документів.

Далі дозволю собі перемкнутись на англійську, бо мова піде про конкретні речі.
 

_________________

CEO about the role: “We are looking for an Applied AI Engineer who will help us make messy documents reliably understandable, build accurate structure and entity extraction, strong retrieval, and cost‑efficient model orchestration."

Key Responsibilities

• Document analysis & taxonomy: Systematically analyze layouts/sections/entities/relations; define categories, types, and metadata schemas that generalize across domains.
• Prompting & schemas: Author, version, and maintain prompts/chains for classification, extraction, summarization, and Q&A; enforce JSON/JSON‑Schema outputs.
• Retrieval (RAG): Build hybrid retrieval (embeddings + keyword + graph traversal); manage embedding generation, indexing, dedupe, and drift.
• Cascades & MoE: Architect model cascades (fast filters → experts → fallback LLMs) and MoE routing to balance quality/cost/latency.
• Agentic orchestration: Use CrewAI (or similar) to coordinate multi‑step pipelines; add caching/batching/streaming and robust retries.
• Result fusion: Combine outputs via reranking, voting, and confidence/consistency checks; add guardrails and safety rules.
• Evaluation & monitoring: Run LangSmith/Evals (or similar), define golden sets, automate regressions, track quality/cost/latency; canary and observe.
• Operate models locally/hosted: Work with vLLM/TGI/Ollama/llama.cpp as well as API models; apply quantization/LoRA when useful.
• Data stores: Use vector DBs plus graph and relational DBs to power retrieval and joins (e.g., Qdrant/Weaviate/Milvus/pgvector + Neo4j + PostgreSQL).

Required Skills & Experience

• Strong programming skills in Python; ability to write clear, tested, maintainable code.
• Experience building at least one LLM‑powered feature end‑to‑end (prototype → production), or equivalent open‑source/portfolio work.
• Hands‑on with RAG, vector embeddings, and evaluation (offline + online A/B, error analysis).
• Familiarity with model cascading/MoE concepts (or ability to learn quickly).
• Practical database skills: comfortable with SQL and with either graph or vector systems.
• Product mindset: bias to measure impact and iterate.

We hire for capability and learning speed. If you’re strong on fundamentals and can show work, we’d love to talk, even if you don’t check every box.
 

Nice to have:

• OCR/Document AI, ontology design, labeling workflows.
• LangSmith/Evals, LangChain/LlamaIndex; Ray/Airflow; GPU basics.
• Security & privacy for AI systems (PII handling, GDPR), prompt/response guardrails.

The Team

• CEO
• Product Manager
• Fullstack Engineering Lead
• Back End Dev
• Fullstack Dev 
• AI engineer
• User Acquisition Manager
• 2х Designers 
• 2x iOS Devs
  
   

What We Offer

• Challenging technical problems and the environment to solve them.
• Flexible schedule and fully remote work from anywhere with reliable overlap to CET.
• 18 paid vacation days, 8 no-paperwork sick days, and 11 public holidays per year.
• Minimal bureaucracy, no micromanagement, and swift decision-making.
• Direct influence on strategy and the ability to see your experiments ship fast.
• Be part of a team that previously built and scaled successful businesses.

Hiring Process:

1. Intro Call
2. Interview with CEO
3. Offer
    

ABOUT IFS

International Food Services (IFS) is an independently owned maritime catering organization. 

We offer marine catering solutions of the highest quality and monitor the consumption on board and deliveries for our clients in the shipping industry. 

IFS has offices in Antwerp, Singapore, Poland and Manila. We stand for a no-nonsense approach with a dedicated team, and we try to make a difference for our clients. Passion for the job and sustainable collaboration are very important for us. We aim to increase our clients' buying power by reducing waste and inefficiencies. We achieve this by training and supporting the crew on board and improving the well-being on board of the crew.

ABOUT THE POSITION

We are looking for a skilled and experienced AI Developer to join our team. 

The ideal candidate has a strong background in building and deploying AI solutions using Azure AI Foundry, OpenAI, and Azure Logic Apps. 

In this role, you will be responsible for designing, implementing, and maintaining AI-driven applications that optimize business processes and drive innovation.

Key Responsibilities:

• Design and Deploy AI Solutions: Build and deploy AI models and applications using Azure AI Foundry and OpenAI services.
• Integrate AI into Business Workflows: Create and manage automated workflows by integrating AI capabilities into business processes using Azure Logic Apps.
• Collaborate Across Teams: Work closely with software engineers and business stakeholders to gather requirements and deliver AI solutions aligned with organizational needs.
• Optimize AI Models: Fine-tune and optimize AI models for enhanced performance, accuracy, and reliability.
• Maintain AI Systems: Monitor AI systems to ensure high availability and scalability, troubleshoot issues and implement updates as necessary.

• Stay Current with AI Advancements: Keep up with emerging trends in AI technologies, tools, and best practices to ensure continuous improvement and innovation. 

   

WHAT WE ARE LOOKING FOR:

• Experience: Proven experience building Agentic applications in production: RAG, tool/function calling, multi-step workflows, guardrails, and deterministic enforcement for business rules.
• Technical skills & technologies:
  • Programming Languages: Python 
  • Version Controls: Git
  • Cloud Platforms and Services: Microsoft Azure, Azure DevOps, Azure AI Foundry, Azure OpenAI, Azure Functions (HTTP APIs), Logic Apps (workflow automation)
  • AI/ML Technologies: LLMs, RAG, semantic search/embeddings, agents/tool calling, ML , Natural Language Processing (NLP), Optical Character Recognition (OCR), Speech Recognition(nice to have)
  • Frameworks and Libraries: .NET Core, Azure SDKs, experience with Angular 14+ is a plus 
  • Databases and Data Management: Azure SQL Database, SQL Server, Azure Cache for Redis
• Analytical Skills: Strong problem-solving skills and the ability to analyse complex data sets to derive actionable insights.
• Communication Skills: Excellent verbal and written communication skills (English) to effectively collaborate with team members and stakeholders.
• Adaptability: Ability to quickly learn new technologies and adapt to changing project requirements.

WHAT DO WE OFFER 

• Attractive salary and additional benefits.
• Opportunity for development in a global company.
• Working in an international team. 

Are you looking for a new challenge in a dynamic, international, family owned company? 

The CGS-team is actively seeking a highly skilled and motivated AI/ML Developer who is passionate about data-driven technologies and determined to excel, to join our team.
 

About us:

The CGS-team has worked with prestigious clients such as Trello, IBM, Cisco, GrowthDay, Cosuno, LiveArtMarket Inc, and HomeLike. Our projects cover HealthCare, Education, Booking, E-commerce, and Blockchain (including NFTs, smart contracts, and DeFi).

From You:

• 1+ years of experience in Machine Learning or AI-driven development
• Strong understanding of recommendation systems, ranking algorithms, or personalization models
• Experience with Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Hands-on work with data preprocessing, feature engineering, and model evaluation
• Familiarity with NLP, embeddings, or user-behavior modeling is a plus
• Experience integrating ML models into production environments (REST, microservices, etc.)
• Knowledge of SQL/NoSQL databases, data pipelines, and API integrations
• Upper-Intermediate English level or higher

Responsibilities:

• Designing and implementing ML models for personalized content and post recommendations
• Analyzing user interests, activity, and behavioral signals to improve the relevance of the recommendation engine
• Working closely with backend and frontend teams to integrate AI features into the platform
• Maintaining and optimizing existing ML components for scalability and performance
• Supporting integrations with Web2 and Web3 ecosystems where needed
• Continuously improving model accuracy based on real user feedback and product metrics

Benefits:

▪️ 15 paid vacation and public holidays, plus an additional 5 days added for each year of work
▪️ True work-life balance — we focus on results, not hours; time trackers are banned as the most horrible invention on the planet
▪️ 0% bureaucracy
▪️ English speaking club and courses

 

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.

Now we are looking for a Software Development Engineer (MLOps) to join us as part of our team.

About the role

As a Senior ML Operations Engineer, you will support teams building and deploying AI-driven solutions, helping them overcome common challenges in the ML development, deployment, and support lifecycle. This role offers autonomy in decision-making, encouraging a proactive approach to solving complex issues and finding optimal solutions for scalable systems.

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 composition

1 Engineering Manager, 4 Senior ML Ops 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

• Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation.
• Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment.
• Provide mentorship, technical guidance, and perform code reviews for team members.
• Design and deliver on projects end-to-end with little to no guidance.
• Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC.
• Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities.
• Support the vision and values of the company through role modeling and encouraging desired behaviors.
• Participate in various cross-functional company initiatives and projects as requested.
• Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value.
• Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance.

We’re looking for you if you have

• Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or equivalent practical experience).
• 5+ years of hands-on software development experience with Python (Java experience with strong Python proficiency also considered).
• 4+ years of experience designing and building distributed software systems and architectures.
• 3+ years of hands-on experience deploying and operating Machine Learning services in production.
• Experience supporting ML lifecycle operations including post-deployment monitoring and maintenance.
• Experience in cloud-native stack, with a practical understanding of containerization technologies such as Kubernetes and Docker.
• Demonstrated experience with SQL and NoSQL database design and implementation.
• Ability to decompose complex problems into iterative, well-defined solutions.
• Strong problem-solving abilities with focus on building scalable, efficient, and maintainable systems.
• Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions.
• Ability to be a team player who can also work independently.
• Experience working across multiple development teams is a plus.

Desired Skills

• Experience with cloud platforms (AWS, Google Cloud Platform, or Azure).
• Proficiency in GitOps practices and CI/CD pipeline development and management.
• Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems.
• LLM Infrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock).
• LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar).
• Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector).
• RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance.
• Cloud-native experience with services like Amazon SageMaker, Google Vertex AI, or Azure ML
• Familiarity with ML frameworks and tools: PyTorch, TensorFlow, scikit-learn
• Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka.
• ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow.
• API development with FastAPI or similar frameworks.
• Java programming experience is a plus.

Interview Process

1. Pre-Screening with the recruiter
2. Tech Interview(ML Fundamentals, Software Engineering) + Live Coding (up to 1,5 hours)
3. ML System Design Interview (up to 60 min)
4. Interview with Engineering Manager (60 min)
5. Final Client Interview (60 min)

We are seeking a Senior ML to join our AI & Data project. In this role, you will combine high-end machine learning engineering with a revolutionary approach to software delivery. You will not just build AI; you will build AI using AI, orchestrating agentic workflows to deliver complex solutions at a velocity traditional teams cannot match.

You will focus on building practical, production-ready solutions that bridge the gap between unstructured data and structured logic using LLMs, agentic workflows, and knowledge representations (ontologies, knowledge graphs). You are expected to be an "AI-Native" pioneer, utilizing tools like Claude Code, Cursor, Antigravity, and custom MCP servers to automate your own development lifecycle - from data exploration and model evaluation to code generation and documentation.

Requirements:

• 4+ years of professional experience in machine learning, data science, or AI engineering.
• Software development background 
• Strong proficiency in Python and the modern ML/AI ecosystem (e.g., PyTorch, Hugging Face, LangChain/LangGraph, Scikit-learn).
• Hands-on experience with data ingestion, RAG pipeline optimization, model evaluation, deployment (MLOps), and monitoring.
• Deep understanding of generative AI (LLMs, embeddings, RAG, prompt engineering, and agentic reasoning) and its practical constraints (latency, cost, safety, hallucinations).
• Experience turning complex business needs into "machine-ready" technical specifications and acceptance criteria.
• Strong experience with major cloud platforms; hands-on Azure knowledge (Azure AI Search, Azure OpenAI) is highly desirable.
• Evidence of using modern GenAI tools (Claude Code, GitHub Copilot, etc.) to significantly accelerate your development and testing process.
• Good English to work in a multinational team

Responsibilities: 

• Work with stakeholders to translate domain-specific knowledge into "Spec-Driven" ML architectures and agentic workflows.
• Design and implement solutions that combine the reasoning power of LLMs with the precision of structured knowledge (ontologies/knowledge graphs).
• Pilot the Claude Code CLI and other agentic tools to generate code, run automated tests, and maintain "Context Hygiene" within the project repository.
• Apply structured 4-phase debugging to ML pipelines, focusing on root-cause analysis of hallucinations, retrieval failures, and data drift.
• Define and automate "Skills" (prompt libraries, evaluation scripts, and deployment templates) to be re-used across multiple AI-Native pods.
• Define and implement quality gates, safety metrics, and cost-control practices for GenAI components.
• Lead by example in adopting AI-Native practices, mentoring the AI Apprentice and other team members in the "People + Agents" delivery model.
• Strong problem-solving and follow-up skills; must be proactive and take initiative
• Work independently on development tasks with a minimal amount of supervision

What is in for You: 

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

Reinvent Logistics with AI: Join Logivations as a Machine Learning Developer Are you passionate about AI? At Logivations, we develop some of the world’s most advanced AI-driven Real Time Digital Twins and robots for international companies. We’re on the lookout for both rising talents and seasoned experts to help us push the boundaries of machine learning and computer vision in logistics.

Why Join Logivations?

• Work on cutting-edge AI technologies used by top global brands.
• Contribute to AI-driven solutions that optimize real-world operations.
• Receive competitive compensation in euros and professional growth opportunities.
• Collaborate with a dynamic, future-focused team that encourages you to innovate and learn.

The Role: Machine Learning Developer

You’ll work directly with our AI team to boost system efficiency and create next-generation solutions. This role includes hands-on R&D and practical applications of AI and computer vision in logistics.

Why It’s Great for Juniors

• Mentorship & Learning: Work with experienced AI developers eager to share knowledge.
• Practical Exposure: Gain real-world experience with cutting-edge ML, CV, and robotics projects.
• Skill-Building: Develop in-demand Python, ML, and computer vision skills that accelerate your career.

Your Responsibilities

• Apply Machine Learning & Computer Vision to logistics challenges.
• Implement & Extend state-of-the-art deep learning research (e. g. Llama from Meta and ChatGPT from OpenAI)
• Design Novel Solutions with your unique expertise and creativity.
• Work on guidance of autonomous vehicles, camera-based object identification, and object tracking.
• Stay Updated on new research to continuously refine our AI toolkit.

Your Profile

• Educational Background: Bachelor’s or Master’s in Computer Science, Mathematics, Statistics, Operations Research, or a related field.
• Technical Skills:
  • Proficient in Python; basic C++ is a bonus.
  • Comfortable with Linux, Bash, Docker.
  • Familiarity with ML libraries or frameworks (e. g. TensorFlow, PyTorch, Keras, TensorRT, gstreamer, pyro, Numpy, Fastapi) is a plus.
• Learning Mindset: Eager to explore new research and tackle complex problems.
• Creative Innovator: You love developing fresh ideas to drive real-world impact.
• Team Player: Strong communication skills and a desire to collaborate.
• English Proficiency: Intermediate or higher English for daily communication.

What We Offer

• High-Impact, Exciting Projects: Solve challenging problems that shape the future of AI and robotics.
• Competitive Salary in Euros: Reflecting your expertise and contributions.
• Flexible Work Setup: 3 days in the office, 2 days at a location of your choice.
• Professional Growth: Work on the latest research; grow your skill set with continuous learning.
• Travel Opportunities: Visit clients and see your solutions in action around the globe.
• Supportive Environment: Modern workspace, collaborative team culture, and direct project ownership.

Ready to Shape the Future of AI-Driven Logistics? Send your CV or resume to [apply]. We look forward to meeting you and exploring how your skills can power the next wave of AI innovation at Logivations.

About The Role

As a Middle Software Engineer in our Machine Learning department, you will take ownership of high-impact initiatives that drive product quality, monetization, and user experience. You’ll apply your expertise in Python, data analysis, and modern AI tools to build, deploy, and optimize ML solutions end-to-end. This is a hands-on technical role that blends data science and engineering to deliver measurable business outcomes. You’ll collaborate closely with cross-functional stakeholders and contribute to evolving areas such as LLMs, Generative AI, and ML infrastructure. The role offers exposure to complex data challenges and the opportunity to shape Pearl’s AI-driven capabilities.

What You’ll Do

• Build, train, and deploy ML models that improve product performance and monetization.
• Collaborate with data, product, and engineering teams across multiple internal initiatives.
• Design and implement data pipelines for extraction, transformation, and analysis.
• Apply statistical and machine learning techniques to real-world business problems.
• Work on projects involving LLMs and Generative AI technologies.
• Analyze large datasets to identify trends, insights, and optimization opportunities.
• Integrate ML models into production systems and monitor their performance.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.
• Experiment with emerging AI tools and methodologies to enhance existing workflows.
• Ensure data quality, reliability, and scalability in all deliverables.

What We’re Looking For

• 3+ years of hands-on experience in ML Engineering or Data Science.
• 3-4+ years total experience in software or data engineering.
• Strong programming skills in Python.
• Proficiency in SQL for data querying and analysis.
• Solid understanding of data processing, analysis, and visualization.
• Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
• Ability to build and deploy ML models end-to-end.
• Strong analytical and problem-solving mindset.
• Experience with .NET for integration work
• Upper-intermediate English proficiency (B2 or higher).
• Familiarity with Databricks or similar data platforms (nice-to-have).
• Exposure to AWS or other cloud-based ML environments (nice-to-have).

Why Join Us?

• High-Impact Data — Work with vast datasets generated by over a million daily visits, uncovering valuable insights.
• Collaborative Analytics Team — Join a team of 30+ skilled analysts who actively share knowledge and support each other.
• Cutting-Edge Tools & Techniques — Get hands-on experience with ML, Bayesian methods, and LLMs to solve real business challenges.
• Data-Driven Culture — Thrive in an environment where data informs every decision and drives continuous improvement.

Job Description

Uses best practices and knowledge of AI/ML methodologies to improve products and services through intelligent automation. Solves complex business problems by designing novel AI agent solutions that combine existing technologies in innovative ways.
 

Job Responsibilities

• 4-6 years’ hands-on experience working as Sr AI/ML Developer with at least three complete agentic AI system implementations
• 4-6 years’ hands-on experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI)
• 4-6 years hands-on experience with Python AI/ML frameworks (LangChain, LlamaIndex, Transformers, PyTorch)
• 4-6 years’ hands-on experience integrating LLMs with external systems and enterprise applications
• Experience working with vector databases, knowledge graphs, and RAG pipeline development
• Advising on best practices for AI agent development and enterprise AI integration processes
• Experience in deploying AI models and agents in multiple environments (dev, staging, production)
• Experience managing stakeholder communication regarding AI capabilities, limitations, and project timelines, including managing expectations, foreseeing AI-related risks, and reporting them.
   

Department/Project Description

This position will design and build intelligent AI agent systems, LLM-based applications, and autonomous
workflow solutions within the context of our enterprise applications. We are looking for a candidate to provide
expertise in Large Language Models, multi-agent architectures, RAG systems, Python development, cloud AI
services, and enterprise AI integration. This individual will have broad experience in developing and deploying
agentic AI solutions that can autonomously perform complex business tasks.

Cyngular is building an AI-native cloud security platform focused on investigation, threat hunting, and autonomous analysis across multi-cloud environments. We are looking for a senior AI Agent Architect to help design and refine the next generation of our AI-driven investigation and reasoning engines.

This is a strategic advisory role, working closely with the engineering team.

What You’ll Do

• Architect autonomous AI agents for investigation and cloud threat analysis
• Design multi-step reasoning pipelines for structured decision-making
• Build and refine RAG architectures with measurable evaluation frameworks
• Define memory strategies (short-term, long-term, vector-based, graph-based)
• Optimize LLM cost, latency, and token efficiency at scale
• Identify and mitigate failure modes in AI systems (hallucinations, loops, tool misuse)
• Establish evaluation and benchmarking methodology for AI agents
• Guide internal engineers in production-grade AI system design

We’re Looking For Someone Who

• Has built autonomous AI agents in production environments
• Designed complex reasoning workflows beyond simple prompt chains
• Implemented RAG systems with proper retrieval tuning and evaluation
• Optimized large-scale LLM usage with cost-awareness and performance tradeoffs
• Deeply understands AI system failure patterns and guardrail design

Nice to Have

• Experience with multi-agent coordination frameworks
• Background in cloud-native architectures
• Strong distributed systems experience
• Familiarity with security, SOC workflows, or threat hunting domains

Engagement Structure

• Advisory role on a flexible hour-based retainer
• High-impact architecture and design involvement
• Direct collaboration with executive and engineering leadership
• Opportunity to shape AI-driven cloud security at scale

If you have built real AI agents that operate in production and understand the engineering tradeoffs behind them, we’d like to talk.

About us

We’re a software outsourcing company that ships AI-powered products for EdTech and Healthcare clients. A big slice of our work is chat/voice conversational engines over knowledge bases and operational processes; we also build recommendation features, data pipelines, and full-stack integrations. We are cloud-agnostic and work across AWS and Azure (experience in either is a plus). Our delivery culture: lean Agile, CI/CD, code reviews, pragmatic documentation.
 

What you’ll do

• Design & build LLM applications: RAG over client KBs, multi-tool/agent graphs, prompt strategies, and voice UX (STT/TTS).
• Implement retrieval & data flows: ingestion, chunking, metadata/embeddings, hybrid retrieval, re-ranking, caching.
• Own evaluation & quality: latency/cost budgets, A/Bs.
• Automate with n8n (or similar): connect services, data, and back-office workflows; expose reliable admin ops for non-engineers.
• Ship pipelines: Airflow for orchestration; dbt for transformations/semantic layer where relevant.
• Productionize: tracing/observability, feature flags, safe rollouts, secrets & config hygiene.
• Collaborate with clients: discover scope, explain trade-offs, demo progress; optional presales spikes/estimates.

Must-have qualifications

• Strong Python (typing, tests, packaging) and web/service basics (FastAPI, Docker).
• Hands-on building LLM apps with one or more: LangChain, LangGraph, AutoGen, Dify (or equivalents).
• RAG end-to-end experience: corpus prep → embeddings → retrieval → re-rank → context assembly → measurable gains.
• Evaluation mindset: design offline eval sets and release gates; reason about faithfulness vs relevancy; control p95 latency & $/session.
• Cloud proficiency in AWS or Azure (using at least one in production).
• Comfort with observability (OpenTelemetry/LangSmith/Prometheus/Grafana or similar).
• English B2+; clear written & verbal client communication.

Nice to have

• Vector DBs: pgvector, Qdrant, Pinecone, Azure Cognitive Search (vector); rerankers (BGE/monoT5/Cohere/ColBERT).
• Voice: Azure Speech, Whisper; VAD/barge-in, turn-taking logic.
• Data stack: dbt, Airflow, event streams; data contracts.
• Workflow: n8n design for non-tech ops; governance of low-code automations.
• Frontend for AI UX (React/Next.js, TypeScript).
• Compliance awareness for EdTech (FERPA/COPPA) and Healthcare (HIPAA/GDPR).

Leveling expectations

Mid-level

• Implements features from clear designs; contributes to prompts, tools, retrieval tweaks.
• Writes reliable code and tests; adds tracing; participates in eval set curation.
• Operates one cloud (AWS or Azure); comfortable with n8n recipes and simple Airflow DAGs.

Senior

• Leads solution design E2E; chooses retrieval/agent patterns; defines latency/cost targets.
• Establishes eval harness & release gates; drives A/Bs and post-release monitoring.
• Shapes client scope & trade-offs; mentors others; improves platform reusable components.
• Comfortable across both clouds or deep in one; designs robust n8n/Airflow/dbt topologies.

We are hiring an AI Automation Specialist for a high-volume, automation-first publishing operation (stealth client). This is a hands-on builder role: design and maintain systems that remove manual work, reduce errors, and speed up execution.

Tech stack focus

• Python automation + data processing
• API integrations (REST, webhooks, CSV pipelines)
• n8n / Zapier (or similar)
• LLMs in real production workflows, prompt engineering
• Google Sheets/Excel (advanced), SQL, BigQuery (or similar)

Responsibilities

• Build AI-driven workflows for content, QA, analytics, and operations
• Automate repetitive high-volume processes via scripts + integrations
• Data ingestion/transformation/validation + monitoring/anomaly alerts
• Automated QA for links/UTMs/formatting/content structure
• Document systems so they can be scaled and maintained

Requirements

• 4+ years in automation / tech ops / data engineering (or similar)
• Systems-thinking, high ownership, strong execution discipline
• English: C1+