Zensar Technologies · 10 hours ago
Senior Data AI/ML Engineer
Zensar Technologies is a people-oriented technology company passionate about helping clients thrive in a complex digital world. They are seeking a Senior Data AI/ML Engineer to architect and lead end-to-end data and AI platforms, focusing on data ingestion, processing, and model training while utilizing various machine learning frameworks and AWS services.
Responsibilities
Architected and led end-to-end data and AI platforms , spanning data ingestion, processing, model training etc
Strong experience with Python and ML frameworks such as TensorFlow , PyTorch , scikit-learn etc
Solid understanding of supervised and unsupervised learning including classification, clustering, and predictive modeling techniques
Expert level experience with AWS, including designing, deploying and managing production grade AI/ML solutions using service such as S3 ,EC2,EKS/ECS, Lambda, RDS, IAM etc
Proven experience working designing and building large scale, complex datasets including data transformation, normalization and data quality management etc
Hands on experience deploying and operating ML workloads in AWS GovCloud with strong knowledge of security, compliance, and government cloud constraints
Strong experience designing and implementing Retrieval-Augmented Generation (RAG) architectures, including document generation, vector and LLM integration
Experience integrating LLMs with structured and unstructured data to generate accurate, explainable and context aware responses
Strong understanding of ML Ops and LLM Ops practices, including model / version management, prompt management, evaluation, monitoring and retraining
Experience building scalable batch and real time pipelines for data engineering, ML and generative AI workloads
Familiarity with data security, privacy and compliance requirements in regulated or public sector environments
Excellent communication and collaboration skills with the ability to work independently and drive technical initiatives
Qualification
Required
Architected and led end-to-end data and AI platforms, spanning data ingestion, processing, model training etc
Strong experience with Python and ML frameworks such as TensorFlow, PyTorch, scikit-learn etc
Solid understanding of supervised and unsupervised learning including classification, clustering, and predictive modeling techniques
Expert level experience with AWS, including designing, deploying and managing production grade AI/ML solutions using service such as S3, EC2, EKS/ECS, Lambda, RDS, IAM etc
Proven experience working designing and building large scale, complex datasets including data transformation, normalization and data quality management etc
Hands on experience deploying and operating ML workloads in AWS GovCloud with strong knowledge of security, compliance, and government cloud constraints
Strong experience designing and implementing Retrieval-Augmented Generation (RAG) architectures, including document generation, vector and LLM integration
Experience integrating LLMs with structured and unstructured data to generate accurate, explainable and context aware responses
Strong understanding of ML Ops and LLM Ops practices, including model/version management, prompt management, evaluation, monitoring and retraining
Experience building scalable batch and real time pipelines for data engineering, ML and generative AI workloads
Familiarity with data security, privacy and compliance requirements in regulated or public sector environments
Excellent communication and collaboration skills with the ability to work independently and drive technical initiatives
Benefits
Medical
Dental
Vision
401(k)
Company
Zensar Technologies
Zensar Technologies is a software company that provides information technology and business process outsourcing services.
Funding
Current Stage
Public CompanyTotal Funding
$9MKey Investors
Epiris
2015-10-10Post Ipo Equity
2003-07-09IPO
1997-09-01Private Equity· $9M
Leadership Team
Recent News
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2025-10-29
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