Job Title: AI/ML Engineer
Location: New York
Description :
Job Requirements AI Full Stack Job Description Technical Skillset
- 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 AIand deploying them into a production environment (considering aspects like performance, cost, reliability, monitoring), Workflows and Agentic AI - LLMEvaluation through LLM as a Judge, Platforms like Arize, etc.
- Solid Engineering Fundamentals: Proven growth in software design, datastructures, algorithms, and writing clean, testable, and maintainable code.
o 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 invarious 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 tackle problems, own features end-to-end, and find satisfaction in building impactful solutions
- Inherent Curiosity: Has a solid desire to understand how and why thingswork, driving the what to build better, more efficient systems.
Technical Breadth: o 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 Platformo backend services(e.g., Node.js/Next.js/Java/Serverless), o cloud platforms (AWS/Google Cloud Platform/Azure),o front-end frameworks (e.g., React/React Native), o CI/CD pipelines, REST/WebSocket API development, and database technologies.
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