Senior Data AI/ML Engineer jobs in United States
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Zensar Technologies · 17 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.

ConsultingIT ManagementOutsourcingSoftware
badNo H1BnoteU.S. Citizen Onlynote
Hiring Manager
NAGAM SRINIVAS
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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

PythonAWSML frameworksData engineeringML OpsRAG architecturesData securityCommunicationCollaboration skills

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

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Zensar Technologies is a software company that provides information technology and business process outsourcing services.

Funding

Current Stage
Public Company
Total Funding
$9M
Key Investors
Epiris
2015-10-10Post Ipo Equity
2003-07-09IPO
1997-09-01Private Equity· $9M

Leadership Team

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Manish Tandon
CEO & Managing Director
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Nagesh Nagineni
Practice Leader and CTO for AES, Data and Analytics Services @Zensar Technologies
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Company data provided by crunchbase