Jobs via Dice · 6 hours ago
Sr. Data Scientist/AI ML Engineer - Onsite
Walnut Creek, CA
Full-time
Onsite
Senior LevelDice is the leading career destination for tech experts at every stage of their careers, and they are seeking a Senior Data + AI/ML Engineer for their client, Acunor Infotech. The role involves architecting and leading end-to-end data and AI platforms, as well as implementing complex ML solutions in AWS environments.
Computer Software
No H1B
Security Clearance Required
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
Company
Jobs via Dice
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0-1 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase