AI/ML & Data Engineer
1 week ago
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
Bachelors 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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