AI/ML Lead

Hello Professionals,

Hope You're doing Great.

We have an excellent job opportunity for Hybrid Position. It is a long term contract opportunity with our client. if you are interested, please share your updated resume here.

Role: Lead AI/ML Engineer

Location : New York, NY (Hybrid)

Job Duration : 6 Months Contract

Skill Cluster : ET - GenAI - Google Cloud Platform

Primary Skill : Gen AI, Google Cloud OS, Analytical & Problem Solving skills

Job Description :

• Lead the design development and deployment of machine learning and GenAI models in collaboration with AI Architects, Cloud Engineers and CRM Development Teams Architect end-to-end ML pipelines from data preparation and model training to deployment and monitoring ensuring scalability efficiency and compliance
• Evaluate and fine-tune state-of-the-art models (e.g., Gemini, GPT-4, and other LLMs), and integrate them into enterprise systems such as Salesforce.
• Guide retraining efforts to maintain model performance, fairness, and ethical standards.
• Mentor junior engineers and provide technical leadership on best practices in ML model development, optimization, and MLOps.
• Collaborate cross-functionally with product owners, data scientists, and business stakeholders to translate business needs into AI solutions.
• Ensure AI governance and ethics by monitoring for bias, ensuring data privacy compliance, and adhering to responsible AI principles.
• Stay ahead of industry trends, tools, and research to continuously innovate and improve AI capabilities within the organization.
• Document architectures, workflows, and model lifecycles for transparency, reproducibility, and audit readiness.

Required Qualifications

• Bachelor s degree in Computer Science, Information Technology, Computer Engineering, or related field (advanced degree preferred).
• Proven experience (5-8+ years) in Machine Learning Engineering or AI Solution Design, with demonstrated Strong experience with cloud platforms (preferably Google Cloud Platform, but AWS or Azure also considered).
• Demonstrated ability to architect scalable ML systems and integrate AI capabilities into enterprise platforms (e.g., Salesforce).
• Excellent analytical, problem-solving, and troubleshooting skills.
• Strong collaboration and communication abilities, with a track record of leading technical teams.

Preferred / Nice to Have

• Professional Machine Learning or AI certifications (e.g., Google Cloud ML Engineer, AWS Certified ML Specialist).
• Experience in Healthcare Payer or Healthcare Technology environments
• Hands-on experience with CRM platforms like Salesforce
• Understanding of data privacy, security, and ethical AI practices
• Experience mentoring or training teams in AI ML concepts and implementation Strong project management or agile delivery experience

Thanks & Regards,