[Apply in 3 Minutes] AI/ML

7 days ago

India Mindfire Solutions Full time

About the Job We are looking for an experienced AI/ML & Data Engineer to design, develop, and deploy scalable machine learning models and data infrastructure on AWS. You will work closely with cross-functional teams to deliver AI-driven solutions, integrate large language models (LLMs), and optimize data workflows while ensuring security, scalability, and performance. Core Responsibilities - Develop and deploy ML models and algorithms, including LLMs (GPT, Llama, Gemini, Mistral) and NLP models (BERT, GPT). - Design and maintain scalable ETL/ELT pipelines, data lakes, and warehouses on AWS (S3, Glue, Redshift, Athena, Lambda, DMS). - Build APIs using AWS Lambda, API Gateway, and AWS SDK. - Containerize and deploy applications using Docker, ECR, and ECS. - Implement Infrastructure as Code (IaC) using tools such as Terraform and CloudFormation, and adhere to CI/CD best practices. - Integrate LLMs into workflows for classification, summarization, enrichment, and semantic search. - Optimize data workflows and ML models for performance, scalability, and cost efficiency. - Ensure compliance with data privacy, security, and governance standards. Required Skills - Proficiency in Python, SQL, and distributed processing frameworks (PySpark). - Strong fundamentals in GenerativeAI and AgenticAI, hands-on with LLM frameworks (CrewAI, LangChain, LlamaIndex), - Familiar with LLM as a Service, i.e., AWS Bedrock, Hugging Face, similar. - Experience with AWS cloud services and containerized deployments. - Knowledge of vector databases (ChromaDB, Pinecone, PGVector) is a plus. - Excellent problem-solving, communication, and collaboration skills. Qualifications - Bachelor’s or higher in Computer Science, Information Technology, or related field. - 4+ years of hands-on experience in AI/ML engineering, data engineering, and AWS cloud infrastructure.

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