Senior Machine Learning Engineer

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October 22

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accesa.eu

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Enterprise • SaaS • Artificial Intelligence

Accesa is a leading technology company that has been a trusted IT partner since 2004. Specializing in custom software development, application modernization, cloud solutions, data analytics, AI, and cybersecurity, Accesa helps businesses across diverse industries including retail, manufacturing, and finance. The company is known for its customer-centric approach, providing tailored solutions that drive innovation and growth for its clients. With a focus on digital transformation, Accesa builds strong, flexible, and collaborative partnerships, ensuring high-quality service delivery and customer satisfaction. Their services span intelligent workplace solutions, business hyperautomation, and comprehensive managed operations, making Accesa a reliable choice for future-ready organizations.

1001 - 5000 employees

Founded 2003

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• Design, extend, and customize system prompts (e.g., chat history, instructions, rules), evaluate the impact of prompt changes, and continuously improve LLM usage scenarios while analyzing risk and benefits. • Conceptualize, prototype, and validate new GenAI features (e.g., tool integration, dynamic content fetching, prompt behavior control) to extend system capabilities. • Evaluate new LLM releases, monitor response quality and consistency, and assess relevance for various user tiers. • Stay up to date with the latest techniques in reasoning, chaining, and context optimization, contribute to AI Labs community discussions, and share findings with the Data Science team. • Develop prototype and production-level Python code to support AI features, ensuring reliability and maintainability aligned with product requirements. • Build solutions with frameworks like Langchain, implement advanced chatbot capabilities, and contribute to experimental extensions.

🎯 Requirements

• 4+ years of experience with Python and its data science ecosystem (Pandas, NumPy, Scikit-learn). • Proven experience in prompt engineering and LLM behavior analysis. • Familiarity with LLM integration frameworks such as Langchain or similar. • Experience in data curation, preprocessing, and tokenization for LLM training. • Deep understanding of GenAI systems and their customization potential. • Ability to translate product requirements into reliable, maintainable code. • Experience with experimental feature development and technical feasibility evaluation. • Excellent documentation and communication skills for sharing findings within a collaborative team. • Nice to have: Experience with distributed training • Nice to have: Experience with MLOps for LLMs

🏖️ Benefits

• Enjoy our holistic benefits program that covers the four pillars that we believe come together to support our wellbeing, covering social, physical, emotional wellbeing, as well as work-life fusion. • Our wellbeing program includes medical benefits, gym support, and personalised fitness options for an active lifestyle, complemented by team events and the Healthy Habits Club. • Having a one-size-fits-one approach gives us the flexibility to define the work-life dynamic that works for us. • We believe that to maintain our overall health, we need to invest in our mental wellbeing just as much as we do in our physical health, social connections or in achieving work-life balance. • As a growing community in a hybrid environment, we want to ensure we remain connected not just by the great work we do every day but through our passions and interests.