Data & AI/ML Engineer
Apply NowCompany: Tata Consultancy Services
Location: Albany, NY 12203
Description:
Must Have Technical/Functional Skills
Build and optimize machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
Able to implement end-to-end MLOps pipelines for model training, deployment, and monitoring.
Leverage cloud-based AI services (AWS SageMaker, Google Vertex AI, Azure ML) to develop scalable ML solutions.
Work with big data technologies (Spark, Hadoop, BigQuery, Databricks) for data preprocessing and feature engineering.
Good to Have - Manage the MLOPs Infrastructure including Continuous Integration servers, Model Configuration
management, Model Deployment automation, Containers, Infrastructure Orchestration, Monitoring and Analytics,
Testing and Cloud Quality tools. Python, Prompt Engineering, Langchain, Agentic AI, Data Engineering,
Data Sciences, Applied AI, and AI/ML.
Knowledge in one of the following is preferred.
AWS: Bedrock, SageMaker, Lambda for AI workloads
Azure: OpenAI Service, ML Studio, Cognitive Service
GCP: Vertex AI, Generative AI Studio, TPU training
Roles & Responsibilities
Explore and experiment new AI and Data technologies to build innovative solutions for the given
customer usecases, perform rapid protypes, develop MVPs using frameworks like TensorFlow, PyTorch, or Scikit-learn.
Implement end-end MLOps pipelines for model training, deployment and monitoring.
Generic Managerial Skills, If any
Effective communication and presentation skills, self-motivation, and the ability to navigate in
creative environments.
Salary Range: $80,000-$110,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
#LI-SP1
Build and optimize machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
Able to implement end-to-end MLOps pipelines for model training, deployment, and monitoring.
Leverage cloud-based AI services (AWS SageMaker, Google Vertex AI, Azure ML) to develop scalable ML solutions.
Work with big data technologies (Spark, Hadoop, BigQuery, Databricks) for data preprocessing and feature engineering.
Good to Have - Manage the MLOPs Infrastructure including Continuous Integration servers, Model Configuration
management, Model Deployment automation, Containers, Infrastructure Orchestration, Monitoring and Analytics,
Testing and Cloud Quality tools. Python, Prompt Engineering, Langchain, Agentic AI, Data Engineering,
Data Sciences, Applied AI, and AI/ML.
Knowledge in one of the following is preferred.
AWS: Bedrock, SageMaker, Lambda for AI workloads
Azure: OpenAI Service, ML Studio, Cognitive Service
GCP: Vertex AI, Generative AI Studio, TPU training
Roles & Responsibilities
Explore and experiment new AI and Data technologies to build innovative solutions for the given
customer usecases, perform rapid protypes, develop MVPs using frameworks like TensorFlow, PyTorch, or Scikit-learn.
Implement end-end MLOps pipelines for model training, deployment and monitoring.
Generic Managerial Skills, If any
Effective communication and presentation skills, self-motivation, and the ability to navigate in
creative environments.
Salary Range: $80,000-$110,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
#LI-SP1