Senior ML Engineer designing and developing machine learning models for national security. Collaborating with cross - functional teams to deliver scalable solutions in defense applications.
About the role
- AI/ML Engineer developing generative AI solutions for intelligent automation. Requires experience in AWS and AI/ML application development.
Responsibilities
- Designing and implementing generative AI solutions using Amazon Bedrock, foundation models, and RAG architectures
- Building repeatable intelligent solutions/bots for document processing and data cleansing
- Developing and deploying scalable ML/AI models on AWS infrastructure
- Creating API endpoints and integrations for AI/ML services
- Implementing model evaluation, monitoring, and continuous improvement processes
- Collaborating with cross-functional teams to embed AI capabilities across business functions
Requirements
- Overall experience of 6-10 Years working on Application/framework development
- Min 5+ years of exp in AI/ML-based app/solution development with strong focus on generative AI applications
- Hands-on experience with AWS services including Amazon Bedrock, S3, SageMaker, CDK,Lambda, and other AI/ML services
- Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering, model fine-tuning)
- Hands-on exp with OCR, ICR and OMR technologies is a must
- Good programming knowledge in Python and relevant ML/AI frameworks (TensorFlow, PyTorch, LangChain)
- Good understanding of Document Processing, classification, data extraction is a must
- Knowledge in Natural Language Processing (NLP), Deep Learning, and Generative AI is a must
- Hands-on Web application/APIs Development experience is a must
- Proficiency in asynchronous/multi-threaded programming
- Strong knowledge of algorithms, data structures, complexity, optimization, caching and security
- Experience with JSON, SOAP, Rest, XML, XHTML, XSD and XSLT
- Strong knowledge of object-oriented concepts and Database concepts
- Experience with databases like SQL Server, PostgreSQL
- Experience with NoSQL databases and vector databases (for RAG implementations) is a plus
- Knowledge of AWS cloud architecture patterns and serverless computing
- Experience with CI/CD pipelines and DevSecOps practices
- Knowledge of Agile methodologies is desirable
- Experience working with a toolchain that includes TFS, SVN, Git
- Involved in different phases of SDLC and have good working exposure on different SDLCs like Agile Methodologies
Benefits
- Medical
- Dental
- Vision
- Basic Life
- Health Saving Account
- 401K Matching
- Three weeks of PTO/Sick
- 11 Paid Holidays
- Pre-Approved Online Training
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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