Our P&T team is leveraging Operations Research and AI/ML-based technologies to build the next-generation Supply Chain solutions. We have a pragmatic down-to-earth philosophy of using AI to solve concrete warehousing, distribution, transportation and supply management challenges and we are currently looking for a Senior AI / ML Developer to join the team and help us spear-head AI, ML, Data-science and Operations Research initiatives to recommend actionable business insight in various supply chain use-cases.
How will you contribute to the team effort?

You will be the resident AI expert and will work closely with development teams to spearhead the development of features, providing actionable business insights to our customers and end-users, and allowing them to manage their operations more efficiently.

You will identify, coordinate, and develop Data Science solutions to build predictive/prescriptive models, design AI/ML/agentic solutions that use data pipelines to solve supply chain problems. You will also contribute to the design and development of production-grade AI systems, including LLM-powered features, retrieval-augmented generation (RAG) pipelines, and multi-step agent workflows. You will help translate experimental AI capabilities into reliable, scalable, and measurable product features.

Although deploying and governing the end-to-end cycles of solutions is not your primary responsibility, you will help with the process, especially developing tools to assess the efficacy of the models.

Requirements
Qualifications
• You have a graduate degree in Computer Science, or in related disciplines: e.g. Engineering, Physics, Applied Mathematics and Statistics.
• You have proven experience in converting business problems to their mathematical representations to feed AI/ML algorithms.
• You are an expert Pythonista with proven experience in using supervized, unsupervised and semi-supervized Machine Learning solutions.
• You know Statistical Models, Optimization and Mathematical Programming (OR), Meta-heuristics, Deep Reinforcement Learning and how to put them to work to create business value.
• You have hands-on experience designing and implementing modern AI systems, including LLM-based applications, prompt engineering, and retrieval-based systems.
• You understand how to evaluate and monitor AI systems, including defining metrics for accuracy, grounding, and performance over time.
• You are familiar with the Data Science ecosystem (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, etc.).
• You have solid experience in using Cloud-based AI/ML solutions (like AWS, Azure, GC)
• You can clearly communicate technical concepts to cross-functional teams, including management and non-technical stakeholders.
• You have been developing AI/ML based python solutions for at least 5-7 years
What else could give you an edge?
• Experience designing and deploying production AI systems (e.g., APIs, microservices, or agent-based systems)
• Familiarity with LLM orchestration frameworks (e.g., LangChain, LangGraph) and vector databases
• Experience with MLOps practices, including model/version management, evaluation pipelines, and monitoring
• Strong understanding of trade-offs in AI systems (accuracy vs latency vs cost)
• You have a solid background in Supply Chain Management
• Bilingual

Could this be the life-changing, skill and career building opportunity you've been waiting for? Don't be left wondering about what could have been. This is a growth-oriented position in an elite organization that respects and values key contributors. Act now and submit your resume.

We understand that experience comes in many forms and that careers are not always linear. If you don't meet every requirement in this posting, we still encourage you to apply.

At Tecsys, we welcome the thoughtful use of AI tools to help you prepare your application, for example, to improve clarity, organize your resume, or practice interview responses. However, we ask that all information you provide reflects your real experience, and that any assessments or written submissions represent your own work and thinking.

During interviews, we expect candidates to engage without the use of AI tools, scripts, or real-time assistance. Authentic, direct conversation helps us get to know how you think, collaborate, and communicate. AI can support your preparation, but it shouldn't speak or act on your behalf. We genuinely want to meet you.