
Machine Learning Engineer
23 hours ago
We are seeking a seasoned Machine Learning Engineer to bridge the gap between data science and operations. As a key member of our team, you will be responsible for deploying, monitoring, and scaling machine learning models on cloud platforms.
Main Responsibilities:
- Design and implement CI/CD pipelines for ML workflows using GitHub Actions or Jenkins
- Containerize and orchestrate workloads with Docker and Kubernetes
- Implement model registries, feature stores, and observability using MLflow and Prometheus/Grafana
- Collaborate with data scientists to operationalize ML models for personalization, recommendations, and NLP
- Stay up-to-date with the latest developments in ML frameworks, including Scikit-learn, TensorFlow, and PyTorch
Requirements:
- 2+ years of experience working with ML Ops & DS
- Proficient in Python and data pipelines (Airflow, Spark, SQL)
- Bonus: experience with real-time ML serving, A/B testing, or media/recommender systems
- Nice-to-Have:
- Experience with subscription, media, or recommender systems
- Knowledge of experiment design & causal inference
- Exposure to real-time ML serving (KFServing, Seldon, Ray Serve)
Qualifications:
- Btech /Mtech
Your Future With Us:
You will be part of a dynamic team driving innovation and growth through cutting-edge ML solutions. Join us to drive your career forward and make a lasting impact
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