Lead I - Senior Machine Learning Engineer

Senior Machine Learning Engineer

Experience: 8+ years

Location: Bengaluru (Hybrid)

Responsibilities:

• Design, develop, and deploy machine learning models and algorithms for production use with clear SLAs.
• Build and maintain scalable, reliable data pipelines (batch and streaming) for training and inference.
• Perform exploratory data analysis to uncover insights, define hypotheses, and guide feature design.
• Develop robust feature engineering processes; manage feature definitions, lineage, and reuse across teams.
• Implement model serving as APIs/services (REST/gRPC) using Flask/FastAPI/Django with proper versioning and rollback.
• Establish CI/CD for ML (testing, packaging, model artifacts) with automated deployments and canary/blue-green strategies.
• Set up experiment tracking, model registry, and reproducible training workflows.
• Define and monitor offline/online metrics.
• Implement observability across data, models, and services (latency, throughput, drift, data quality, cost).
• Collaborate with product, data, and platform teams to translate requirements into technical designs and roadmaps.
• Write clear documentation and participate in code reviews and mentoring.
• Participate in incident response and on-call rotations for ML services.

Requirements:

• Minimum of 8 years of experience in machine learning, data analysis, and feature engineering with production ownership.
• Strong proficiency in Python and its libraries (NumPy, pandas, scikit-learn).
• Experience with one or more web frameworks such as Flask, FastAPI, or Django to build production-grade APIs.
• Solid understanding of ML algorithms, evaluation techniques, experiment design, and statistical testing.
• Proficiency in SQL and data modeling; experience with large datasets and performance optimization.
• Hands-on experience with data processing frameworks (e.g., Spark/Beam/Flink) and streaming platforms (e.g., Kafka/Kinesis).
• Strong software engineering skills: modular design, type hints, unit/integration testing (pytest), logging, and profiling.
• Experience with containers and orchestration (Docker, Kubernetes) and infrastructure-as-code concepts.
• Familiarity with CI/CD tools (e.g., GitHub Actions/GitLab/Jenkins) for automating ML builds and releases.
• Monitoring/observability experience (e.g., Prometheus/Grafana/OpenTelemetry) and data quality checks/drift detection.
• Excellent communication skills to effectively convey technical concepts to non-technical stakeholders and drive alignment.

Good to have:

• Experience with cloud platforms (AWS preferred) and common services (e.g., S3, ECR, ECS/EKS, Lambda/Batch, IAM).
• Experience with MLOps practices and tools (feature stores, data/version management like DVC/LakeFS, workflow orchestration like Airflow/Dagster).
• Experience with Natural Language Processing (NLP), computer vision, recommendation/ranking, or time-series forecasting.
• Familiarity with dashboarding/visualization for analysis and monitoring (Matplotlib, Plotly, Grafana, Streamlit).

ANRGI TECH Pvt. Ltd. is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.