HIH - Machine Learning Lead Analyst
- Teamware Solutions
- 3 - 5 years
- Hyderabad
- 9 hours ago
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Job Description
Role & responsibilities
As a Machine Learning Engineer, you will leverage your expertise in PySpark and MLlib to design and optimize scalable machine learning workflows on Databricks. Youll work closely with data scientists and product teams to build robust ML pipelines that support advanced analytics and generative AI applications.
Responsibilities
- Apply advanced ML techniques including supervised, unsupervised, and deep learning using PySpark, MLlib, and PyTorch.
- Design and monitor end-to-end ML workflows in Databricks, including feature engineering, model training, and inference.
- Collaborate with cross-functional teams to translate business requirements into scalable ML solutions.
- Integrate Generative AI models (e.g., GPT, Claude) for tasks such as summarization, text generation, and conversational AI.
- Develop APIs for model serving using FastAPI, supporting synchronous, asynchronous, and streaming inference.
- Utilize AWS services (S3, Lambda, SageMaker, EC2) for model deployment and orchestration.
- Implement CI/CD pipelines for ML models using GitHub Actions or Jenkins.
Required Experience
- 3-5 years of relevant experience
- Strong proficiency in PySpark and distributed data processing.
- Experience with Databricks and MLlib.
- Familiarity with deep learning frameworks like PyTorch.
- Solid understanding of cloud-based ML deployment (AWS preferred).
API development experience with FastAPI
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Healthcare & Life SciencesRole Category: Health InformaticsRole: Health Informatics - OtherEmployement Type: Full timeContact Details:
Company: Teamware SolutionsLocation(s): Hyderabad
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Teamware Solutions
Teamware Solutions, a business division of Quantum Leap Consulting Private Limited (www.teamwaresolutions.net), established in 2003 and incorporated as a private limited company in India. We are headquartered in Chennai with offices in Bangalore, Pune, and Delhi with international operations in ...
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