AI-MLFull Stack Engineer

AI-ML Full Stack Engineer New York, NY Contract

Job Description:
10+ years of AI/ML Expertise: Understanding of core AI and machine learning concepts, models, and algorithms,
demonstrated through practical application and system design.

Ability to explain complex ideas clearly and significant focus on building and deploying production-grade AI/ML models and systems
3+ years of LLM/Agentic AI Development

Experience:
Hands-on experience building applications leveraging LLMs, LLM Workflows,
Agentic AI, and deploying them into a production environment (considering aspects like performance, cost, reliability, monitoring),
Workflows and Agentic AI - LLM Evaluation through LLM as a Judge, Platforms like Arize, etc,.

Solid Engineering Fundamentals: Proven growth in software design, data structures, algorithms, and writing clean, testable, and maintainable code

Technical Breadth:
Familiarity and hands-on experience with relevant technologies/frameworks like Databricks, Azure AI, Azure Transcription Services,
RLlib (Agent Model), PyTorch (State Model), Open AI, Google Cloud Platform
backend services (e.g., Node.js/Next.js/Java/Serverless),
cloud platforms (AWS/Google Cloud Platform/Azure), o front-end frameworks (e.g., React/React Native),
CI/CD pipelines, REST/WebSocket API development, and database technologies.
Solid programming skills in Python, with experience in pandas, numpy, and SQL, proficiency in frameworks such as Scikit Learn,
TensorFlow, and PyTorch

Broaden ML Domain Knowledge:
Practical experience or solid knowledge in various machine learning domains such as Natural Language Processing (NLP),
Computer Vision, Personalization & Recommendation systems, and/or Anomaly Detection Success Factors

Adaptability & Learning Agility: Proven ability to quickly learn new technologies and methodologies,
comfortable working on tasks requiring exploration and tackling ambiguity
Ownership & Drive: Self-driven, takes immense pride in technical contributions, proactively tackles
owns features end-to-end, and finds satisfaction in building impactful solutions