Lead AI/ML Engineer
- Posted 3 days ago
- Be among the first 10 applicants
Job Description
Role Overview
We are hiring a Lead AI/ML Engineer to build intelligent, scalable AI applications using machine learning, Generative AI, and large language models.
Key Responsibilities
Develop and operationalize AI/ML solutions for business requirements.
Build LLM applications using RAG, NLP, and deep learning techniques.
Create ML models and pipelines using Python, PyTorch, TensorFlow, and Hugging Face.
Implement semantic search using FAISS, Pinecone, or ChromaDB.
Utilize LangChain or LlamaIndex for AI application development.
Deploy solutions on AWS, Azure, or GCP.
Develop data pipelines using ETL/ELT tools, Apache Spark, and cloud data services.
Monitor model performance and optimize production workloads.
Required Expertise
Bachelor's degree in Engineering or a related field.
7+ years of AI/ML development experience.
Strong Python, cloud deployment, data engineering, and problem-solving skills.
Practical experience with LLMs, RAG, vector databases, and scalable data platforms.
Benefits
Medical coverage, office meals, hybrid work, learning opportunities, and performance recognition.
Skills: llm,aiml,rag
We are hiring a Lead AI/ML Engineer to build intelligent, scalable AI applications using machine learning, Generative AI, and large language models.
Key Responsibilities
Develop and operationalize AI/ML solutions for business requirements.
Build LLM applications using RAG, NLP, and deep learning techniques.
Create ML models and pipelines using Python, PyTorch, TensorFlow, and Hugging Face.
Implement semantic search using FAISS, Pinecone, or ChromaDB.
Utilize LangChain or LlamaIndex for AI application development.
Deploy solutions on AWS, Azure, or GCP.
Develop data pipelines using ETL/ELT tools, Apache Spark, and cloud data services.
Monitor model performance and optimize production workloads.
Required Expertise
Bachelor's degree in Engineering or a related field.
7+ years of AI/ML development experience.
Strong Python, cloud deployment, data engineering, and problem-solving skills.
Practical experience with LLMs, RAG, vector databases, and scalable data platforms.
Benefits
Medical coverage, office meals, hybrid work, learning opportunities, and performance recognition.
Skills: llm,aiml,rag
More Info
Key Skills
LangChain
Hugging Face
Pinecone
FAISS
ChromaDB
LlamaIndex
About Company
Skills:
S3, Data Factory, Apache Spark, Emr, ELT, Tensorflow, Pytorch, Gcp, Data Warehousing, DataFlow, Azure, Python, AWS, Etl, Generative AI, LangChain, LLMs, Hugging Face, Pinecone, HDInsight, FAISS, ChromaDB, LlamaIndex, RAG architectures
Skills:
Cuda, Python Scripting, Tensorflow, Test automation, Pytorch, Opencl, Deep Learning, Yocto, Ubuntu, Performance profiling, hip, ROCm validation, Linux expertise, LLMs, Optimization
Skills:
System Design, Application Development, Python, Testing, Databricks, Kubernetes, Cloud-native deployment patterns, Operational stability for ML or data-intensive systems, CI/CD, Containerisation
Skills:
probability , triton , Jax, Tensorflow, Pytorch, Docker, Ml, Azure ML, MLops, Kubernetes, TD3, DL, TensorRT, CNNs, ONNX, ppo, Optimization, RL agents, linear algebra, CQL, Transformers, Ai, AKS, sequence models, SAC, CI-CD, RL, ARO
Skills:
PostgreSQL, Docker, FastAPI, Kubernetes, Python, LangChain, embedding strategies, pgvector, observability practices, RAG pipeline architecture, prompt lifecycle management, vector database selection, Azure OpenAI, LangGraph, LLM engineering, retrieval strategies, context management strategies, LLM evaluation