Senior Machine Learning Engineer
Trajector
full-time
Posted on:
Location Type: Office
Location: 🇮🇳 India
Visit company websiteJob Level
Senior
Tech Stack
AirflowAWSCloudKubernetesPythonTerraform
About the role
- Design and implementation of reliable, maintainable, and scalable GenAI systems in production.
- Serve as a subject matter expert for machine learning systems owned by the team.
- Mentor junior and mid level engineers through code reviews, technical guidance, and design collaboration.
- Design, evaluate, and implement GenAI systems and workflows for information extraction and document generation, including prompt engineering, RAG patterns, and LLM fine-tuning approaches.
- Optimize LLM inference performance, cost, and latency through techniques such as batching, caching, quantization, and model selection.
- Collaborate with product managers, data scientists, and engineers to translate business needs into high quality, production ready ML solutions.
- Present findings, insights, and system results to technical and non technical stakeholders.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related technical field
- 3-5 years of experience designing, building, and deploying scalable production GenAI applications, including prompt engineering, RAG systems, and LLM evaluation.
- Strong proficiency in Python
- Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen)
- Experience with workflow orchestration tools (e.g., Airflow, Prefect, Temporal) for managing complex ML/GenAI pipelines.
- Familiarity with vector databases and retrieval-augmented generation (RAG) patterns.
- Experience evaluating and mitigating LLM risks (hallucinations, bias, safety)
- Hands on experience of distributed computing and cloud platforms (e.g., AWS, Kubernetes, Terraform, CI/CD frameworks).
- Excellent communication and collaboration skills.
Benefits
- Opportunities for continuing professional development
- Mentorship
- Career growth
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
GenAI systemsmachine learningprompt engineeringRAG patternsLLM fine-tuningLLM inference optimizationPythondistributed computingcloud platformsworkflow orchestration
Soft skills
mentoringtechnical guidancedesign collaborationcommunicationcollaboration
Certifications
Bachelor’s degreeMaster’s degree