
Machine Learning Engineer
7 days ago
Location: Remote
Engagement: Contractor (C2C)
Experience: 5+ Years
Role Overview: We're looking for a Machine Learning Engineer to build and deploy end-to-end ML solutions. This role combines data engineering, model training, and production deployment using modern MLOps practices.
Key Responsibilities:- Design and implement scalable ML pipelines (data ingestion, feature engineering, training, deployment).
Optimize models for performance, latency, and scalability in production.- Automate model deployment and monitoring (MLOps).
Work with cross-functional teams to integrate ML services into products.
Ensure data and model security and compliance best practices.
Required Skills:-
Strong experience with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Experience with AWS SageMaker, Databricks, or GCP Vertex AI
Knowledge of data pipelines, ETL, and distributed systems (Spark, Kafka).
Familiarity with Docker, Kubernetes, and CI/CD for ML.
Strong understanding of statistics and algorithm design
Job Types: Contractual / Temporary, Freelance
Contract length: 6 months
Pay: ₹70, ₹80,000.00 per month
Work Location: Remote
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