The Job

Senior Data Scientist - ML, Python

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · DevOps

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In short

Seeking a Senior Data Scientist with expertise in ML, Python, and MLOps to design, implement, and deploy ML pipelines and models on cloud platforms like AWS. The role involves collaborating with data scientists and engineers to ensure data readiness, optimize performance, and maintain reproducibility of ML workflows.

Responsibilities

  • Design and implement automated ML pipelines for model training, testing, deployment, and monitoring.
  • Deploy AI/ML models into production environments using containerization and orchestration tools.
  • Configure and optimize cloud resources (AWS SageMaker, S3, Bedrock) for scalable ML workflows.
  • Streamline data ingestion and transformation for model readiness.
  • Implement continuous integration and delivery practices for ML workflows.
  • Monitor model performance, retrain as needed, and manage versioning.
  • Collaborate with Data Scientists to translate experimental models into production-ready solutions.
  • Design and implement advanced Machine Learning Algorithms Using Tensorflow And Pytorch To Extract Insights From Large Datasets, Delivering Customized Analytical Reports.
  • Leverage Python And Sql To Develop And Optimize Data Models.
  • Analyze and mine large datasets to identify trends and patterns, utilizing advanced analytics techniques.
  • Create comprehensive visualizations and reports to communicate complex analysis and results.

Requirements

  • Strong knowledge of ML lifecycle management, pipeline automation, and monitoring tools (MLOps Expertise).
  • Hands-on experience with AWS (SageMaker, Lambda, ECS/EKS), Snowflake, and related services.
  • Proficiency in Python; familiarity with ML frameworks (PyTorch, TensorFlow).
  • Experience with Docker and Kubernetes for scalable deployments.
  • Knowledge of GitHub Actions, Jenkins, or similar tools for automated workflows.
  • Ability to work with SQL and integrate data from multiple sources.
  • Strong Knowledge Of Machine Learning Principles And Algorithms Using Tensorflow And Pytorch.
  • Proficient In Programming Languages Such As Python For Data Analysis And Model Development.
  • Solid Understanding Of Sql For Data Manipulation And Querying Large Databases.
  • In-Depth Experience With Data Analytics Techniques And Tools For Interpreting Complex Datasets.
  • Excellent Collaboration And Communication Skills To Work With Diverse Teams And Stakeholders.

Desired Qualifications

  • Certified Data Scientist (CDS), Tensorflow Developer Certificate, Or Professional Data Engineer Certification (Optional But Valuable).
#Machine Learning#Python#MLOps#AWS#Cloud#Data Science#Data Engineering#Docker#Kubernetes#CI/CD
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Company

HCLTech

Job Posted

1 month ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Senior

Locations

Noida, India

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