Senior Machine Learning Engineer

Summary

Join Accesa as a Senior Machine Learning Engineer and contribute to the enhancement and evaluation of custom GPT-based systems. You will design, extend, and customize system prompts, develop new GPT-based features, and evaluate new GPT/LLM releases. Responsibilities include prompt engineering, experimental feature development, model evaluation, knowledge sharing, Python development, and LLM integration. You will need 4+ years of Python experience, proven prompt engineering experience, familiarity with LLM integration frameworks, and excellent communication skills. Accesa offers a holistic benefits program covering physical, emotional, and social wellbeing, as well as work-life fusion.

Requirements

• 4+ years of experience with Python and its data science ecosystem (Pandas, NumPy, Scikit-learn), fundamental for data manipulation and modeling
• 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 GPT-based 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

Responsibilities

• Design, extend, and customize system prompts (e.g., chat history, instructions, rules), evaluate the impact of prompt changes, and continuously improve GPT usage scenarios while analyzing the risk-benefit of each modification
• Conceptualize, prototype, and validate new GPT-based features (e.g., internet search integration, prompt behavior control) to extend system capabilities
• Evaluate new GPT/LLM releases (e.g., OpenAI models), monitor response quality and consistency, and assess upgrade relevance for various user tiers
• Stay up to date with the latest techniques in reasoning, chaining, and context optimization, and prepare detailed evaluation reports for the Data Science team
• Develop both prototype and production-level code to support AI features, ensuring reliability and maintainability aligned with product requirements
• Utilize frameworks like Langchain to build solutions, implement advanced chatbot capabilities, and contribute to experimental extensions such as tool integration or dynamic content fetching

Preferred Qualifications

• Experience with distributed training
• Experience with MLOps for LLMs

Benefits

• 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
• In very dynamic industries such as IT, the line between our professional and personal lives can quickly become blurred. 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