We are looking for a AI/ML Engineer to join our team. Please review the job description below, and let us know if you are interested and available.
If this opportunity matches your experience and career goals, we would love to discuss it more. Additionally, feel free to share your updated resume for consideration
Job Role - AI/ML Engineer
Location - Secaucus, NJ(Remote)
Duration: 12+ Months
Rate: $50/HR on W2
Key Responsibilities:
• Develop, maintain, and enhance existing applications that utilize both Generative AI and traditional Machine Learning.
• Work extensively with Large Language Models (LLMs) to build and refine AI powered features.
• Collaborate with stakeholders to understand and translate business requirements into technical specifications for AI engineering projects.
• Conduct experiments, implement new technologies, and contribute to the rapid evolution of our AI capabilities.
• Lead the migration of existing projects, including those with agents and LLMs, to our Google Cloud Platform (Google Cloud Platform) environment.
• Engage in full-stack development, with a focus on Python for backend services and React for frontend interfaces.
• Perform data analysis using SQL to query and manipulate data from MS SQL Server, MySQL, and other relational databases.
Required Qualifications:
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• A minimum of 2-3 years of professional experience in an AI or Machine Learning engineering role. Experience with Python is a must.
• Demonstrated experience with concepts such as MCP, RAG, Semantic search, Generative AI, LLMs, and building agent-based systems. Ability to stay up to date with new and upcoming technologies around AI development (ex: Agentic RAG)
• Strong proficiency in Python for backend development and machine learning.
• Solid experience with React for frontend development.
• Expertise in SQL and experience working with relational databases such as MS SQL Server and MySQL.
• Hands-on experience with Google Cloud Platform AI/ML services, including BigQuery, Google SQL and other technologies and APIs within Google Cloud Platform.
• Ability to quickly grasp new requirements, experiment with new technologies, and adapt to a rapidly changing environment.
• Experience in taking over existing AI/ML applications from other teams.
• Estimate at a high level cost of usage in Google Cloud Platform for applications hosted/deployed
• Familiar with functional and non-functional testing of AI/ML applications and operationalizing it in production
Other Qualifications:
• Familiarity with Amazon Web Services (AWS), LLM models trending in the industry.
• A portfolio of projects demonstrating your expertise in AI and full-stack development.
Thank you!
Best Regards,
Sumit Talekar
Associate Manager – Talent Acquisition
Silverlink Technologies Inc.
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