Designation: Consultant

Job Location: India (Remote)

Experience: 2 - 4 years

RESPONSIBILITIES

* 2–4 years of hands-on experience in software/data/ML engineering in
production environments
* Very robust Python - clean, production-quality code (not just notebooks);
sharp problem-solving and the aptitude to pick up MLOps practices quickly
* Experience building and deploying APIs/services (FastAPI, Flask, or similar)
and working knowledge of AWS (EC2, S3, Lambda) for hosting and serving
* Understanding of the end-to-end ML lifecycle - training vs inference
pipelines, deployment, and monitoring
* Working knowledge of SQL and familiarity with PySpark; exposure to Databricks
or comparable platforms, with the ability to read, refactor, and convert code
for other environments




* CI/CD and version-control fundamentals (Git, testing, rollback); familiarity
with Docker; strong ownership and comfort with a broad, evolving scope and
global stakeholders
* Prior hands-on MLOps tooling experience (MLflow, model registries, drift
detection, ML observability)
* Experience supporting GenAI or LLM workloads operationally (model serving,
inference pipelines, cost/performance tuning)

QUALIFICATIONS

* Master's or Bachelor's degree in Computer Science, Engineering, Math,
Statistics, or a related field
* 2–4 years of relevant hands-on experience; candidates who can join
immediately will be prioritized

📌 MLOps Engineer (Gurugram)
🏢 EXL
📍 Gurugram