Jobs ML / AI

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? 

ML Engineer

Salary: Competitive, based on experience
Work: Remote

Company Description

Qoves is on track to become the next consumer tech unicorn. With over 2.5 million followers across our platforms, we have built one of the largest global communities around beauty, aesthetics and AI. In only a short time, we have become one of the fastest growing consumer tech companies in the world, pioneering AI-driven facial analysis that is transforming the way people understand and improve their looks.

Our products range from consumer facial analysis reports to partnerships with leading clinics. We are scaling quickly, expanding our team and setting new standards in how technology and aesthetics intersect. This is your opportunity to join a company that is not just growing but reshaping an entire industry.

Role Description

We're looking for an experienced ML Engineer to join our team full-time on a remote basis. You'll work at the core of our AI-powered facial analysis platform - building, training, and deploying the models that drive our product. You'll report directly to our CTO/Founder and operate with a high degree of autonomy.

Key Responsibilities

• Design, train, and deploy machine learning models for facial analysis, image generation, and fine-tuned image editing
• Translate findings from research papers into practical, production-ready engineering solutions
• Build and improve generative models (GANs and diffusion-based architectures) for realistic image synthesis and manipulation
• Develop and refine facial landmarking models for precise feature detection and measurement
• Own the full ML lifecycle from data collection and annotation strategy through to model evaluation and deployment
• Coordinate with annotation teams to define labelling standards, manage data quality, filter datasets, and engineer training data pipelines
• Experiment with and benchmark new model architectures, loss functions, and training strategies
• Optimise model performance for inference speed and accuracy in production environments
• Collaborate with backend engineers to integrate models into the platform's API layer
• Stay current with the latest research in computer vision, generative AI, and facial analysis

Required Qualifications

• 5+ years of professional ML engineering experience at an established company (not solely academic or freelance)
• Strong proficiency with PyTorch as a primary deep learning framework
• Demonstrated ability to read, understand, and implement techniques from academic research papers into working systems
• Experience working independently and managing end-to-end ML workflows with minimal supervision
• Hands-on experience coordinating with data annotation teams - defining annotation guidelines, quality control, dataset filtering, and data engineering
• Solid understanding of computer vision fundamentals - CNNs, image segmentation, object detection, feature extraction
• Experience training and evaluating models at scale, including hyperparameter tuning and experiment tracking
• Strong Python skills and comfort working in production codebases

Preferred Qualifications

• Experience with Generative Adversarial Networks (GANs) for image generation and fine-tuned editing
• Experience with facial landmarking models and facial feature detection
• Experience with image editing and manipulation models (inpainting, style transfer, image-to-image translation)
• Published research in computer vision, generative AI, or related fields
• Familiarity with diffusion models (Stable Diffusion, DDPM, etc.)
• Experience with model serving and optimisation (ONNX, TensorRT, or similar)
• Experience with cloud GPU infrastructure (AWS, GCP)

Why Work at Qoves

• Build ML models that directly power a product used by millions
• Well-funded startup with 2.5M+ community and strong market traction
• High autonomy and ownership over model architecture and research direction
• Work directly with the CTO/Founder in a meritocratic, mission-driven culture
• Shape the future of an entire industry at the intersection of AI and aesthetics

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.

N-iX is looking for a Senior Machine Learning Engineer in Kyiv. You will be responsible for designing, developing, and deploying machine learning models at scale within the Palantir Foundry ecosystem. You will collaborate closely with data scientists, MLOps engineers, and data engineers to build robust, production-grade ML workflows—from data preparation and feature engineering to model training, evaluation, deployment, and monitoring.

Company provides military reservation (after successfully passing trial period).
 

Key Responsibilities

• Design and implement scalable ML models for use in predictive analytics, forecasting, and classification tasks.
• Work with Palantir Foundry to build end-to-end ML pipelines, including custom Python code, Foundry Functions, and Ontology-aware feature generation.
• Collaborate with Data Engineers to ensure high-quality, model-ready data flows from ingestion to inference.
• Operationalize models using industry best practices for versioning, reproducibility, and monitoring (e.g., via MLflow or native Foundry tools).
• Contribute to MLOps automation, including CI/CD for ML, drift detection, retraining pipelines, and evaluation dashboards.
• Partner with business stakeholders and domain experts to translate scientific or commercial hypotheses into model-based solutions.
• Apply rigorous experimentation and statistical validation to ensure models are explainable, generalizable, and regulatory-compliant.
• Stay informed on the latest developments in ML/AI and proactively introduce innovative techniques and frameworks.

Must-Have Skills & Experience

• 3+ years of experience in machine learning or applied data science, ideally in a production or enterprise setting.
• Strong programming skills in Python, with deep experience in machine learning libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Experience designing and deploying ML workflows at scale, preferably with experience in Foundry, KubeFlow, SageMaker, or similar platforms.
• Familiarity with feature engineering, data imputation, sampling strategies, and evaluation techniques 
• Hands-on experience with model deployment and monitoring, including logging metrics, detecting drift, and managing model lifecycles.
• Comfort working with structured and unstructured data: tabular, time series, text, etc.
• Solid understanding of data security, privacy, and compliance.
• Strong communication and stakeholder engagement skills; capable of explaining complex models in simple terms.
• English level at least Upper-Intermediate. 
   

Will be a plus: 

• Experience with Palantir Foundry.
   

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

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+

We are currently seeking a skilled and driven Senior AI/ML Engineer to join our R&D team.

We believe that you have:

• In-depth knowledge of Machine Learning (ML) and Deep Learning (DL) principles
• A minimum of 3 years of experience working as a Software/ML Engineer
• Strong proficiency in Python programming and ML related libraries and engines
• Experience with AI Agents
• Proven experience in prompt engineering, Large Language Models (LLM)
• LLM Fine-tuning: Experience in fine-tuning pre-trained language models for specific tasks or domains
• LLM Frameworks and Tools: Langchain / LlamaIndex or other + familiarity with other relevant frameworks such as Transformers, GPT-Index, or FAISS
• Experience with one or more machine learning libraries such as TensorFlow, Keras, PyTorch
• Ability to extract meaningful business insights from data and identify the stories behind the patterns
• Willingness to work in an R&D team with shifting priorities and actively engage in PoC initiatives.

• Intermediate or higher level of English proficiency

   

Cool to have:

• Experience with Computer Vision
• Expirience with LLMOps
• DevOps & MLOps: CI/CD pipelines, Docker, Kubernetes
• Experience with SQL, NoSQL and Vector databases

• Experience with NLP, NLU, Semantic Search

   

Responsibilities:

• Collaborate closely with the web development team to design, develop, and deploy machine learning models
• Develop new machine learning models or enhance existing ones to meet project requirements

• Monitor and maintain machine learning models in production, ensuring their optimal performance and stability

   

We offer:

• Flexible schedule
• Horizontal management and communication directly with project stakeholders
• 20 days of paid vacation
• Paid sick-leaves
• Annual activities budget — we endorse your wish to self-improvement
• Remote work

S&F AI Automation started as an internal R&D team, using AI to solve our own company's business problems. After building real expertise and a portfolio of delivered projects, we're now turning this into a practice that helps other businesses level-up their operations with AI.

We are a team of AI geeks who see our work as a way to express creativity. We are looking for someone who shares this obsession and will raise the bar: challenge our architecture decisions, bring tools and techniques we haven't tried, and help us turn prospects into projects we will enjoy engineering.

You'll join a small team at the stage where everything you do has outsized impact. This role brings senior-level engineering capacity to the team while also adding the presales muscle needed to grow the client base.

Technical requirements

• TypeScript (Node.js) OR Python — production-level proficiency in at least one.
• Building LLM-powered applications: agents, assistants, multi-step workflows, structured outputs. Prompt engineering: function calling / tool use, chain-of-thought. RAG: document ingestion, chunking, embedding models, relevance tuning. LLM SDKs: Anthropic Claude, OpenAI. Frameworks: LangChain, LangGraph. Building and integrating MCP (Model Context Protocol) servers.
• Agentic architecture: agent loops, tool orchestration, memory management, multi-agent systems. Knowing when agents are justified vs simpler alternatives.
• Workflow orchestration: Temporal (readiness to build durable workflows), n8n (low-code automation). Vector search: Qdrant, AWS OpenSearch, embedding pipelines, hybrid search.
• API & backend: FastAPI OR Fastify / NestJS. REST APIs, webhook integrations.
• AWS: Bedrock, SageMaker, Lambda, OpenSearch. Cloud ecosystems: AWS (Anthropic), Azure (OpenAI), GCP (Gemini) — platform-exclusive models and services. Docker, IaC basics, VPS provisioning, serverless patterns.
• Zero Data Retention policies, data isolation, private cloud deployments. LLM safety: guardrails, hallucination mitigation, prompt injection protection. Ability to articulate security posture to enterprise clients.
• LLM cost optimization: token budgeting, semantic caching, model routing, fallback strategies, choosing the right model tier.
• Active use of AI coding tools: Cursor, Claude Code, GitHub Copilot, or similar.
• Nice-to-have: Voice AI (STT/TTS), multimodal AI (OCR, vision-language models), LLM evaluation frameworks.

Who you are

You have 3+ years of experience in a technical presales, solutions engineering, or solutions architect role. You have led discovery calls, scoped proofs of concept, and handled technical objections in B2B sales cycles.

You have hands-on experience building AI-powered applications in a professional setting, not just personal experimentation.

Your English is fluent at C1+ level. You can lead live calls with English-speaking stakeholders and handle nuanced technical questions without hesitation.

You communicate consultatively. You guide stakeholders to clarity instead of overwhelming them with options. You can easily explain a complex concept to a non-technical audience.

You take ownership and initiative. You do not need a heavy playbook. You identify gaps, flag risks early, and move things forward. Much of the presale process is still being built, and you are comfortable shaping it as you go.

You are adaptable. You are comfortable in a small team where priorities shift, and where the role will evolve as the practice grows.

What the work looks like

Provide technical depth during presales.
You join prospect calls alongside the department head and own the technical side of the conversation.You probe for technical constraints, assess feasibility in real time, identify integration points or data dependencies, and start forming an architecture before the call ends.

Design AI solutions that match the actual problem.
You translate business context into an architecture with realistic scope and effort estimates. You know when prompt engineering is enough, when RAG is needed, when fine tuning or custom development is justified, and you can explain why.

Connect AI to the tools businesses already use.
You design integrations that make AI solutions practical: pulling data from CRMs or ERPs, syncing with cloud drives or email, pushing outputs into Slack channels or project management tools. You think in terms of end to end workflows, not standalone modules.

Contribute to building, not just sales.
Between engagements, you write production code, guide architecture decisions, and help the team ship client and internal projects. This role carries engineering weight, not just advisory influence.

Outcomes over the next 6–12 months

Strengthen the team’s engineering capability
Provide architectural guidance on client or internal projects so solutions are more reliable and scalable than what would have been built without your input.

Ramp up as a presales partner within 30 days
Independently lead the technical portion of prospect calls by the end of month one. The department head should be confident you ask strong discovery questions, communicate clearly, and propose relevant approaches without heavy coaching or supervision.

Help close the first $80k in new revenue
Participate in presales engagements that result in at least $80k in signed project value within the first six months. This includes Discovery Sprints and follow-on projects that come from them.

About Speed & Function

Speed & Function is a software development company focused on long-term partnerships, not transactional outsourcing. Since 2006, we’ve been building digital products and teams with a strong emphasis on trust, ownership, and collaboration. We evolve our processes as real-world complexity demands.

How to apply

Apply with a short cover letter that includes why you’re considering a new opportunity, your hourly rate, your English level, your availability, and your location.

The company is looking for a Tech Artist / Assets Manager who blends technical precision with creative insight to enhance, automate, and streamline asset workflows for AI-powered playable ads.

This role bridges the gap between Creative, Development, and Production teams, ensuring every visual, 3D, and VFX asset moves seamlessly from concept to final build.
 

It’s a perfect fit for someone who understands both the artistic vision and the technical structure behind game pipelines - and who enjoys designing smarter, faster, and more efficient ways to manage assets.
 

You’ll take ownership of how assets are organized, optimized, automated, and integrated into production. By supporting internal AI systems, Unity environments, and creative tools, you’ll help maintain a scalable, intelligent, and smooth playable ad pipeline.

 

Key Responsibilities:
 

• Optimize and prepare assets (3D models, textures, animations, VFX, UI, and audio) for lightweight HTML5 playable ads.
• Automate workflows for asset preparation, naming, compression, and deployment using internal AI tools or custom scripts.
• Ensure assets are fully compatible with AI-driven production systems and can be efficiently processed through automated pipelines.
• Establish and maintain structured folder systems, naming conventions, and versioning across all projects.
• Validate and test assets in 3D tools to ensure visual integrity and performance.
• Communicate effectively with tech art, creative, and development teams regarding asset readiness and optimization standards.
• Maintain clear documentation and visual references for each asset package to ensure transparency and reusability.
• Continuously identify opportunities to enhance automation, reduce manual tasks, and streamline production flows.
  
   

Qualifications:
 

• Hands-on experience with various 3D tools (Blender, Three.js is a plus).
• Solid understanding of asset optimization (polygon reduction, texture compression, material efficiency).
• Familiarity with AI-assisted production pipelines or creative automation tools.
• Basic understanding of game design principles and how assets influence gameplay and user experience.
• Exceptional organizational skills - clean naming, clear structure, and consistency are key.
• Basic scripting or batch-processing experience (Python, JavaScript, or CLI tools).
• A collaborative, solution-oriented mindset with strong communication skills in English.
• (Nice to have) Experience with version control (Git), render pipelines, or internal asset management tools.
  
   

Why You’ll Love Working Here:
 

This is an opportunity to be part of a fast-evolving creative tech environment where innovation meets automation. The company empowers you to shape the future of AI-driven playable ads, helping to design workflows that are intelligent, scalable, and efficient.

If you thrive at the intersection of creativity and technology—and want to make a real impact in how digital assets are produced and this is your chance to grow with a forward-thinking team.

 

Interested? Let’s Connect!
 

If this sounds like you, don’t hesitate—send your CV and contact information today. The company is actively reviewing applications and would love to learn more about your skills, projects, and creative mindset.
Take the next step toward joining a team where your technical talent and creative curiosity truly matter.

In a partnership with a Berlin-based startup that has successfully established a leading digital trading platform for industrial metals across Europe, we are looking for a heavy-hitting Senior AI Engineer to join our team. You aren’t just someone who calls APIs; you are an architect of intelligent systems who understands the "why" behind the "how."

You will be responsible for building, fine-tuning, and deploying sophisticated AI agents and custom models within the GCP ecosystem. If you have a deep obsession with agentic workflows, the Model Context Protocol (MCP), and the nuances of model evaluation, we want to talk to you.

Key Responsibilities

• Architect Agentic Systems: Design and implement complex agentic layers and workflows using LangChain and LangGraph to solve multi-step reasoning problems.
• Model Engineering: Select, deploy, and fine-tune open-source models (Llama, Mistral, etc.) alongside proprietary LLMs (Gemini, OpenAI).
• R&D & MCP: Leverage the Model Context Protocol (MCP) to integrate local and remote resources into agentic environments.
• Production Excellence: Implement rigorous model evaluation frameworks, regression testing, and observability using LangSmith.
• System Design: Build scalable AI infrastructure on GCP, ensuring seamless integration between custom models and cloud-native services.

Technical Requirements

• Experience: 3–5+ years of high-level experience in AI/ML engineering (Very Senior level).
• GenAI Stack: Expert-level command of Gemini, OpenAI, and Llama.
• Orchestration: Deep expertise in LangChain and LangSmith for building and monitoring agentic tools.
• Cloud: Professional experience with GCP (Vertex AI, Cloud Run, GKE).
• Coding: Python mastery is a given.
• Fine-Tuning: Proven track record of leveraging and fine-tuning open-source models for specific domain tasks.
• Testing: Strong focus on model evaluation, bench-marking, and regression testing.
• Nice to Have: Deep learning frameworks like PyTorch or TensorFlow and a solid grasp of classic ML concepts.

Interview Process

1. Technical Deep-Dive: A 1-hour session with our Engineering Manager focusing on system design, agentic logic, and live problem-solving.
2. Culture & Vision: A conversation with our Founder or HR lead to discuss soft skills, values, and long-term fit.