Data Scientist
2 months ago
Backend Engineer - AI/ML Deployment (Open-Source Model Pipelines & Reinforcement Learning)
- Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field. 3+ years of experience in backend engineering with expertise in deploying scalable AI/ML pipelines. Proficiency in deploying open-source models with frameworks like TensorFlow, PyTorch, or ONNX. Experience implementing reinforcement learning pipelines, including real-time policy updates and feedback mechanisms. Strong knowledge of containerization and orchestration (Docker, Kubernetes). Proficiency in cloud platforms (AWS, GCP, or Azure) for deploying and scaling AI/ML infrastructure. CI/CD and MLOps expertise, including experience with Git, Jenkins, MLflow, and Kubeflow. Data security knowledge for compliance and secure API management.Preferred Skills
- Experience with distributed computing frameworks (Apache Spark, Ray) for parallelizing data processing and model training. Knowledge of edge computing for optimizing AI inference closer to the end-user. Familiarity with data lake and data warehouse solutions (BigQuery, Redshift, Snowflake).What We Offer
Pay: ₹500,000.00 - ₹1,100,000.00 per year
**Benefits**:
- Health insurance
Schedule:
- Day shift
**Experience**:
- total work: 4 years (preferred)
Work Location: In person
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