? We’re Hiring: Data Science & Machine Learning Engineer – US Healthcare Payer
? Job Summary
We are looking for an experienced Data Science & Machine Learning Engineer with strong expertise in Python, SQL, DBT, machine learning, and deep learning technologies. The candidate will develop end-to-end ML solutions, including data transformation, model development, deployment, and monitoring. Experience in the US Healthcare Payer domain is strongly preferred.
? Experience: 12Years (Strictly no profiles below 12 years)
? Location: Bangalore
? Work Model: Work From Office – 5 Days
? Working Hours: 9:00 AM – 5:00 PM IST
? Key Responsibilities
Develop and maintain data transformation pipelines using DBT and SQL.
Build, train, and deploy machine learning models using Python, TensorFlow, and PyTorch.
Develop end-to-end ML solutions covering data ingestion, processing, deployment, and monitoring.
Integrate and fine-tune LLMs using Hugging Face.
Build cloud-based ML training and inference pipelines using Amazon SageMaker.
Collaborate with product and engineering teams to deliver scalable data science solutions.
? Mandatory Skills
Robust hands-on experience in Python, Pandas, NumPy, and Scikit-Learn.
Advanced proficiency in DBT and complex SQL queries.
Experience with TensorFlow and PyTorch.
Strong knowledge of Hugging Face and LLM integration/fine-tuning.
Experience with Amazon SageMaker for ML model training and deployment.
Database experience with PostgreSQL and MySQL.
End-to-end ML engineering experience, including model deployment and monitoring.
? Resume Note: Please ensure all mandatory skills are clearly mentioned in your resume to avoid rejection during the screening process.
? Valuable to Have
US Healthcare Payer domain experience, including payer data models and claims processing.
Neo4j and graph databases.
Linux, shell scripting, and Docker.
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
? Candidate Details Required
Please share the below details along with your updated resume:
Total Experience
Relevant Experience in Data Science / ML Engineering:
Relevant Experience in Python
US Healthcare Payer Experience
Current CTC
Expected CTC
Current Location
Notice Period (LWD)
? Interested candidates can share their profiles
Email:
[email protected]
Phone: +91 (phone hidden)
LinkedIn: https://www.linkedin.com/in/varsha-kothandaraman
? Important Notes:
Strictly no profiles below 8 years of experience.
Bangalore candidates must be willing to work from office 5 days a week.
Strong communication skills are mandatory.
PF throughout the career is mandatory, and all proper employment and educational documents are required.
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