5 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

AIML hands on, Agentic AI, Gen AI, Usage of LLM, Creating Agents, CI/CD understanding, Backend (NodeJS, NextJS, Java) and Front end (ReactJS) understanding, Connecting LLM with Azure etc.

5+ 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

LLM Experience: Hands-on experience building applications leveraging LLMs and deploying them into a production environment (considering aspects like performance, cost, reliability, monitoring), Workflows and Agentic AI

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, GCP

backend services(e.g., Node.js/Next.js/Java/Serverless),

cloud platforms (AWS/GCP/Azure),

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

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* things work, driving the “what” to build better, more efficient systems

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