
Senior Machine Learning Engineer
accesa.eu
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇷🇴 Romania
Visit company websiteJob Level
Senior
Tech Stack
NumpyPandasPythonScikit-Learn
About the role
- 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.
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.
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.
- Physical Wellbeing: 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.
- Work-Life Fusion: 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.
- Emotional Wellbeing: 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.
- Social Wellbeing: 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonPandasNumPyScikit-learnprompt engineeringLLM behavior analysisdata curationpreprocessingtokenizationGPT-based systems
Soft skills
documentationcommunicationcollaboration