AI/ML Engineering Lead
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Job Description
About Seneca Resources:
Seneca Resources is a client-driven provider of strategic Information Technology consulting services and Workforce Solutions to government and industry. Seneca Resources is a leading IT services provider with offices in Virginia, Alabama, Georgia, and North Carolina that service clients throughout the United States. They are an Equal Opportunity Employer and value the benefits of diversity in their workplace.
Job Description:
Position Title: AI/ML Engineering Lead
Location: Remote but must live in AZ, CA, CT, IL, MA, NH, NY, TX, VT, or VA.
Position Status: Direct Hire
Seneca Resources is seeking a highly experienced and forward-thinking AI/ML Engineering Lead to join their team. In this role, you will be responsible for translating complex business requirements into scalable AI/ML solutions and leading initiatives across the full machine learning lifecycle. You will play a key role in driving innovation, ensuring ethical AI practices, and mentoring the next generation of AI/ML engineers.
Key Responsibilities:
• Collaborate with cross-functional teams—including business, product, UI/UX, and engineering—to gather requirements and translate them into well-defined AI/ML problem statements.
• Lead the design, development, and deployment of robust, production-grade AI/ML solutions and end-to-end pipelines.
• Research and evaluate emerging AI/ML technologies and frameworks to continuously improve the organization’s capabilities.
• Champion responsible and ethical AI practices, ensuring compliance with data privacy regulations and industry standards.
• Provide technical leadership and mentorship to team members, fostering best practices in AI/ML engineering and solution design.
Qualifications:
• Bachelor’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field.
• 7+ years of hands-on experience in AI/ML engineering, including designing and deploying machine learning solutions in production environments.
• Strong foundational knowledge in Computer Science, Mathematics, Statistics, Machine Learning, Image Processing, Natural Language Processing (NLP), and Generative AI.
• Proficient in Python, SQL, Unix scripting, and commonly used ML libraries and frameworks.
• Demonstrated experience with building and deploying ML pipelines on cloud platforms, especially AWS and Databricks.
• Exceptional communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.
Preferred Qualifications:
• Hands-on experience with Large Language Models (LLMs) such as GPT-3.5/4, BERT, BART, or Dolly.
• Experience operationalizing generative AI applications in real-world use cases.
