Senior AI/ML Engineer - Enterprise AI Solutions

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI/ML Engineer based in India.

Join a high-impact engineering team focused on designing and delivering enterprise-grade AI solutions that solve complex business challenges. In this senior role, you will lead the development of advanced machine learning and agentic AI applications from architecture through deployment while collaborating with cross-functional stakeholders in an Agile environment. You'll play a key role in shaping technical direction, mentoring engineers, and ensuring scalable, production-ready AI systems. This opportunity is ideal for professionals who thrive in innovation-driven environments, enjoy solving real-world problems, and are passionate about applying modern AI technologies responsibly. You'll work with cutting-edge tools, cloud platforms, and MLOps practices to build intelligent solutions with measurable business impact.

Accountabilities

• Lead the design, architecture, and end-to-end delivery of enterprise-scale AI and machine learning solutions, including advanced agentic AI applications.
• Define technical solutions, provide project estimations, and contribute to delivery planning to ensure successful execution.
• Collaborate closely with cross-functional teams and stakeholders in Agile/SCRUM environments, translating business requirements into scalable AI solutions.
• Build, deploy, and maintain production-ready machine learning systems using modern MLOps practices, cloud technologies, and API-based model serving.
• Mentor and support junior and mid-level engineers, promoting technical excellence, best practices, and high-quality software delivery.
• Drive technical discussions with stakeholders, validate solution approaches, and ensure alignment with project objectives.
• Champion responsible AI principles by implementing monitoring, evaluation, governance, and compliance throughout the AI lifecycle.
  
  

Requirements

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• 6-10 years of professional experience in AI, Machine Learning, or related software engineering roles.
• Strong programming skills in Python, including experience with NumPy, Pandas, and SQL.
• Hands-on expertise with machine learning and deep learning frameworks such as scikit-learn, PyTorch, and TensorFlow.
• Experience implementing MLOps practices, including Docker, CI/CD pipelines, and production deployment workflows.
• Proficiency with cloud platforms such as AWS and/or Azure.
• Solid understanding of modern AI application development, including Retrieval-Augmented Generation (RAG), embeddings, vector databases, NLP, transformer models, model evaluation, monitoring, and API-based model serving.
• Demonstrated experience in solution architecture, technical leadership, stakeholder communication, and mentoring engineering teams.
• Excellent analytical, problem-solving, communication, and collaboration skills with the ability to work effectively in distributed teams.
  
  

Benefits

• Fully remote opportunity based in India.

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• Opportunity to work on cutting-edge AI and machine learning initiatives with enterprise-scale impact.
• Exposure to modern AI technologies, cloud platforms, and production-grade MLOps environments.
• Collaborative Agile work environment with opportunities to influence technical strategy.
• Leadership opportunities through architecture ownership, mentoring, and client-facing responsibilities.
• Continuous learning and professional development while working on innovative AI projects.
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.