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Generative AI Engineer
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- Posted 17 days ago
- Be among the first 20 applicants
Job Description
Role: GEN AI Architect
Skill: 10+ years
Location: PAN India
Key responsibilities include:
- Lead the end-to-end lifecycle of AI projects—from data acquisition to deployment and monitoring.
- Design, build, and optimize complex ML/DL models, including large-scale and generative AI solutions.
- Architect scalable and maintainable AI pipelines using MLOps tools and practices.
- Collaborate with product managers, data scientists, and engineers to align AI solutions with business needs.
- Conduct code reviews, ensure best practices, and mentor junior engineers.
- Stay updated on emerging AI trends, tools, and research to drive innovation.
Qualifications and Experience:
- Bachelor's/Master's degree in Computer Science, AI/ML, or related
- 5+ years of experience in AI/ML engineering or applied data science.
- Expertise in Python and frameworks like TensorFlow, PyTorch, and Scikit-learn.
- Strong knowledge of deep learning architectures (CNNs, RNNs, Transformers).
- Experience with LLMs and prompt engineering.
- Proficiency in deploying AI solutions on cloud platforms (AWS SageMaker, Azure ML, or GCP Vertex AI).
- Experience with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes).
- Strong leadership, problem-solving, and communication skills.
More Info
Key Skills
LLMs
RNNs
Scikit-learn
MLflow
deep learning architectures
CNNs
prompt engineering
SageMaker
GCP Vertex AI
Kubeflow
MLOps tools
About Company
Skills:
BigQuery, Python, Cloud Functions, GenAI APIs, Vertex AI, Google Kubernetes Engine
Skills:
Redis, Postgres, FastAPI, Python, LangChain, vector databases, PDF parsing, GPT-4V, LlamaIndex, LLaVA, Haystack, multimodal models
Skills:
Azure, Rest Apis, AWS, Pytorch, FastAPI, Python, Gcp, Git, Flask, LLMs, MLflow, Hugging Face Transformers, LangChain, Weights Biases, Generative AI, CI CD for ML, Transformers
Skills:
Gcp, Databricks, Azure, Python, AWS, embeddings, LLaMA, A2A Agent-to-Agent, Crew.ai, model orchestration, Claude, prompt engineering, AutoGen, LangGraph, custom agent evaluation frameworks, MCP Model Context Protocol, Mistral, OpenAI, Gemini, LlamaIndex, synthetic datasets
Skills:
react.js , Sql, Angular, Nosql, Typescript, Gcp, Javascript, Docker, Flask, FastAPI, Azure, Python, AWS, LangChain, AI Agents, LLMs, LangGraph, Vector Databases, Next.js, RAG