AI/ML Engineer

Job Title: AI/ML Engineer

Location: Remote

Duration: 12 Months + Extension

Bill Rate: $97/hr

Job Type: W2 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD Key Responsibilities

• Develop ML pipelines - implement end-to-end ML workflows combining structured and unstructured data; build data modeling for MFG data correlation inline and end of line data, feature engineering, training, and inference pipelines under technical guidance
• Work with GenAI & LLMs - contribute to LLM-based features including RAG systems, prompt engineering, and agentic workflows; experiment with different approaches and document learnings
• Collaborate on data architecture - work with data engineers to design and optimize data pipelines across our database systems; understand trade-offs between different storage architectures; integrate structured and unstructured data sources
• Build and prototype solutions - develop POCs for manufacturing problems; translate requirements into ML experiments; contribute to productionization of models with appropriate monitoring and testing
• Deploy and monitor models - participate in end-to-end deployment; own model monitoring, retraining pipelines, and performance tracking; troubleshoot production issues with senior engineers
• Write quality code - develop production-ready code with testing and documentation; follow Git workflows, JIRA tracking, and agile practices; participate in code reviews and learn from feedback

Qualifications Minimum Requirements:

• Bachelor's degree in Computer Science, Software Engineering, Computer Graphics Technology, Electrical Engineering, Computer Engineering or related field of study
• 5+ years of AI/ML experience - proven experience developing and deploying ML solutions with measurable impact
• Computer Vision basics - working knowledge of image processing and computer vision techniques (classification, detection, or anomaly detection); experience with at least one CV framework
• Generative AI exposure - hands-on experience with LLMs, prompt engineering, or RAG systems; familiarity with OpenAI, Anthropic, or similar APIs; curiosity about multi-agent systems
• Database & data pipeline knowledge - working familiarity with relational and NoSQL databases; experience building or optimizing data pipelines; understanding of structured vs. unstructured data handling
• Software engineering practices - proficiency with Git/GitHub, JIRA, issue tracking; ability to write clean, testable Python code; familiarity with agile development and CI/CD concepts

Preferred Requirements

• Smart Manufacturing- prior work with IoT, manufacturing execution systems (MES), or connected factory environments
• Advanced AI/ML capabilities - experience building with LLMs or generative AI APIs; familiar with prompt engineering and AI workflow optimization
• Manufacturing or industrial domain exposure - familiarity with manufacturing environments, IoT systems, or operational processes; any exposure to semiconductor or discrete manufacturing
• Production ML experience - experience deploying models to production; understanding of model versioning, monitoring, or retraining pipelines
• DevOps & containerization - hands-on experience with Docker, Kubernetes, or cloud deployment (AWS, Google Cloud Platform, Azure); basic CI/CD pipeline knowledge
• Multi-agent or advanced GenAI projects - exposure to agent frameworks, LangChain, or similar tools; experience with more complex LLM workflows beyond single-turn prompts
  
  Equal opportunity employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.