Role: Machine Learning Engineer
Locations: New York, NY (Onsite)
Mode of Hire: Contract
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
Contact Information
Email: Priyanka.j@net2source.com
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