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Sterling Talent
Senior Machine Learning Engineer - Remote
Sterling Talent
Bengaluru•On-site•5-8 Yrs•2 hours ago
Job description
Overview
We are seeking an experienced Senior Data Scientist to join our dynamic, cross-functional team. You ll build and optimize AI-driven solutions and data pipelines, working with modern cloud and data technologies to deliver impactful results.
Responsibilities
- Design, build, and maintain scalable data pipelines and APIs using Python, TypeScript/JavaScript, and cloud platforms like Azure, AWS, or GCP, integrating with business systems via REST APIs, SOAP, or event-driven architectures.
- Build, train, and productionize models for entity matching, OCR/NLP extraction, and recommendations.
- Serve models as APIs and workers (Python/FastAPI; Node/TypeScript where needed); optimize latency, throughput, and cost.
- Leverage orchestration tools (Prefect / Airflow / Databricks / Azure ML) to manage workflows, automate model training, and apply MLOps best practices.
- Ensure security, compliance, and data governance.
- Stay current with advancements in AI and machine learning to drive innovation, improve existing solutions, and adapt to evolving technologies.
- Contribute to Scrum-based agile processes, including sprint planning and retrospectives.
- Bachelors in Computer Science, Engineering, or related field.
- 5+ years of experience in data science, AI, and software engineering.
- Strong programming skills in Python and JavaScript/TypeScript.
- Proficiency in SQL for querying and managing relational databases.
Qualifications
- Familiarity with at least one data orchestration or MLOps tool (e.g., Prefect, Data Bricks, Airflow, or Azure Machine Learning Studio).
- Familiarity with virtualization and IaaC tools (e.g, Docker, Bicep/Terraform).
- Understanding of machine learning, NLP, OCR, and data processing techniques