Senior Machine Learning Engineer
Senior Machine Learning Engineer
Posted on :
12-04-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
12-04-2025
Job Description
Coders Connect is partnering with a stealthmode innovator using cuttingedge AI to reshape how highstakes decisions are made in fields like life sciences sustainability and deep tech. This team is building an intelligent platform that leverages LLMs graph intelligence and autonomous agents to uncover breakthrough opportunities and drive realtime insight. If youre excited by the idea of working at the intersection of applied AI and impactful innovation this role is for you.
We re looking for a Senior Machine Learning Engineer with deep experience in Large Language Model (LLM) integration and a passion for building agentic workflows. If youve spent the last few years exploring how LLMs can drive realworld action through autonomous agents this is your chance to work at the frontier of applied AI.
What youll be doing:
- Designing and deploying intelligent agentic workflows powered by stateoftheart LLMs
- Integrating models such as GPT4 Claude or LLaMA into productionready systems
- Collaborating within a small highly skilled team of AI engineers and domain experts
- Helping shape the architecture and roadmap of a platform driving intelligent decisionmaking
Requirements
Were looking for someone with:
- Degree Masters OR PHD relevant field: Machine Learning AI Computer Science Computational Linguistics Data Science Applied Mathematics Or Physics (With AI/ML focus)
- 5 years of handson experience working with LLMs in production
- 5 years experience in Machine Learning Engineering with a focus on Natural Language Processing (NLP) or LLMs
- Proven experience building and deploying solutions using:
- OpenAI Anthropic Hugging Face Transformers or other LLM APIs
- Frameworks such as LangChain LlamaIndex AutoGPT CrewAI or Autogen
- Experience with Python and ML frameworks (e.g. PyTorch TensorFlow scikitlearn)
- Solid understanding and experience of agentic workflows prompt engineering and multiagent systems
- Experience deploying ML solutions to production in cloud environments (AWS GCP or Azure)
- Knowledge of graphbased AI semantic search or knowledge graphs is a plus
- Experience with data pipelines orchestration tools (e.g. Airflow Prefect) and APIs
- Bonus points for experience in startups or with side projects that demonstrate your ability to build and iterate fast
Benefits
What you ll get:
- The chance to work on complex meaningful problems with worldchanging potential
- A team that values creativity experimentation and deep thinking
- This role is onsite 5 days a week due to the highly collaborative environment
If you re ready to push the boundaries of applied AI we d love to hear from you. Get in touch to learn more.
Degree, Master's OR PHD relevant field: Machine Learning, AI, Computer Science, Computational Linguistics, Data Science, Applied Mathematics Or Physics (With AI/ML focus) 5+ years of hands-on experience working with LLMs in production 5+ years experience in Machine Learning Engineering, with a focus on Natural Language Processing (NLP) or LLMs Proven experience building and deploying solutions using: OpenAI, Anthropic, Hugging Face Transformers, or other LLM APIs Frameworks such as LangChain, LlamaIndex, AutoGPT, CrewAI, or Autogen Experience with Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) Solid understanding and experience of agentic workflows, prompt engineering, and multi-agent systems Experience deploying ML solutions to production in cloud environments (AWS, GCP, or Azure) Knowledge of graph-based AI, semantic search, or knowledge graphs is a plus
Employment Type
Full Time
Key Skills
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