Senior AI / ML Specialist

We are looking for a highly skilled and experienced Senior AI/ML Specialist to lead the design, development, and deployment of AI-powered solutions that enhance our software products. The ideal candidate will have deep expertise in Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI technologies, with a proven track record of delivering scalable, production-ready AI solutions.

This role requires a strategic thinker who can translate business challenges into AI-driven product capabilities, collaborate with cross-functional teams, mentor engineers, and drive AI innovation across the organization.

Responsibilities

• AI Strategy & Solution Design
  • Lead the architecture, design, and implementation of AI/ML solutions aligned with product and business objectives.
  • Evaluate business problems and identify opportunities where AI can create measurable value.
  • Define AI solution roadmaps, technical standards, and best practices.
  • Drive the adoption of modern AI technologies and frameworks across engineering teams.
• Machine Learning & Generative AI Development
  • Design, build, train, fine-tune, and deploy machine learning and deep learning models.
  • Develop AI-powered features using Large Language Models (LLMs) and Generative AI technologies.
  • Build Retrieval-Augmented Generation (RAG) pipelines, intelligent assistants, semantic search, and recommendation systems.
  • Develop and optimize prompt engineering strategies and AI workflows.
  • Evaluate and benchmark commercial and open-source AI models based on performance, accuracy, cost, and scalability.
• Integrate AI capabilities into enterprise-grade software products.
• Design scalable AI APIs and microservices.
• Build reusable AI components and frameworks for multiple product teams.
• Ensure AI solutions meet performance, reliability, security, and scalability requirements.
• ML Ops & Model Lifecycle Management
  • Lead end-to-end ML lifecycle management, including data preparation, training, validation, deployment, monitoring, and continuous improvement.
  • Implement ML Ops best practices using CI/CD pipelines for AI models.
  • Monitor model performance, drift, latency, and inference costs.
  • Optimize AI infrastructure for efficiency and scalability.
• Leadership & Mentorship
  • Provide technical leadership and mentorship to AI/ML engineers and software developers.
  • Conduct design reviews, code reviews, and technical evaluations.
  • Promote engineering excellence, coding standards, and documentation.
  • Support recruitment, onboarding, and capability development within the AI team.
• Cross-Functional Collaboration
  • Work closely with Product Managers, Architects, UX Designers, QA Engineers, DevOps, and business stakeholders.
  • Translate functional requirements into scalable AI solutions.
  • Present technical recommendations and solution approaches to leadership and customers when required.
• Innovation & Strategy
  • Stay current with advancements in Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, and emerging technologies.
  • Evaluate new tools, frameworks, and models to improve product capabilities.
  • Lead proof-of-concept (PoC) initiatives and innovation projects.

Required Qualifications

• Bachelor s or master s degree in computer science, Artificial Intelligence, Machine Learning, Data Science, or a related discipline.
• 5-10 years of hands-on experience in AI/ML solution development within software product or technology organizations.
• Strong programming expertise in Python.
• Hands-on experience with Generative AI, LLMs, prompt engineering, and RAG architectures.
• Strong understanding of machine learning algorithms, deep learning, NLP, and predictive analytics.
• Experience deploying AI solutions using REST APIs, containers, and cloud platforms.
• Experience with AWS, Microsoft Azure, or Google Cloud AI services.
• Strong knowledge of SQL, NoSQL databases, and data engineering concepts.
• Proficiency with Git, Docker, and Kubernetes.

Preferred Qualifications

• Experience with LangChain, LangGraph, LlamaIndex, Hugging Face, or similar AI frameworks.
• Knowledge of vector databases such as Pinecone, Milvus, FAISS, Weaviate, or ChromaDB.
• Experience with MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
• Familiarity with AI governance, responsible AI, model explainability, and security best practices.
• Exposure to multi-agent AI systems and AI orchestration frameworks.
• Relevant certifications in AI, Cloud, or Machine Learning are an advantage.

Key Competencies

• Strategic thinking and solution architecture.
• Strong analytical and problem-solving skills.
• Excellent leadership, mentoring, and stakeholder management abilities.
• Strong communication and presentation skills.
• Ability to manage multiple priorities in a fast-paced product environment.
• Innovation mindset with a focus on continuous improvement

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.