AI ML Engineer

Skills

• Strong experience designing, developing, and deploying Generative AI and Machine Learning solutions on AWS using Bedrock, SageMaker, Python, MLOps, and cloud‑native architecture
• Proficiency in Python, PySpark, SQL
• Machine Learning, Deep Learning, NLP
• Generative AI, LLMs, Prompt Engineering
• Amazon Bedrock, AWS SageMaker
• RAG (Retrieval Augmented Generation), AI Agents
• LangChain, LangGraph, LlamaIndex
• AWS Services: S3, Lambda, IAM, RDS, CloudWatch
• MLOps, MLflow, CI/CD Pipelines
• Docker, Kubernetes, Terraform
• REST APIs, FastAPI, Model Deployment & Monitoring
• Strong leadership and stakeholder management skills, with experience leading cross‑functional teams and driving delivery excellence
• Effective communication with business and technical stakeholders

Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions using AWS services such as Bedrock, SageMaker, Lambda, and S3
• Build and optimize RAG pipelines, LLM‑based applications, AI agents, and model inference workflows to solve business problems
• Develop scalable data pipelines and MLOps frameworks for model training, deployment, monitoring, and continuous improvement
• Collaborate with business, data engineering, and cloud teams to deliver secure, production‑ready AI solutions while ensuring performance, governance, and cost optimization

Qualifications

Bachelor of Computer Science

Benefits

• Discretionary Annual Incentive
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
• Family Support: Maternal & Parental Leaves
• Insurance Options: Auto & Home Insurance, Identity Theft Protection
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement
• Time Off: Vacation, Time Off, Sick Leave & Holidays
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing

Pay

Salary Range: $130,000 - $135,000 a year