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Lead-AIML

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Onsite

Lead-AIML

Solar Industries India

Lead-AIML

Skills

Google Cloud PlatformData ScienceKnowledge ManagementData AnalysisMachine LearningAIAWSNLP / Natural Language ProcessingPerformance ManagementComplianceBusiness TransformationRisk ManagementAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Nagpur, Maharashtra, India

Work mode:

Onsite

Published on:

26 August 2026

What they need


We are hiring the "AI & ML Team Lead", who is responsible for driving the organization's Artificial Intelligence and Machine Learning strategy, architecture, delivery, and team leadership. The role requires an equal balance of hands-on technical expertise and people/project management capabilities. The candidate will lead AI initiatives from ideation to production, manage cross-functional teams, and ensure business value realization through AI-driven solutions.

Location: Nagpur (Work from Office)

Job Description:

AI/ML Solution Architecture & Development

  • Design, develop, and deploy scalable AI/ML solutions aligned with business objectives.
  • Lead end-to-end machine learning lifecycle including data preparation, model development, validation, deployment, monitoring, and optimization.
  • Architect cloud-based AI platforms using Azure AI, AWS AI/ML, or Google Cloud AI services.
  • Develop predictive analytics, recommendation engines, NLP, Computer Vision, Generative AI, and Agentic AI solutions.
  • Ensure model performance, scalability, reliability, and security.

Generative AI & LLM Implementation

  • Lead implementation of Large Language Models (GPT, Llama, Claude, Gemini, etc.).
  • Design and implement Retrieval-Augmented Generation (RAG) architectures.
  • Develop AI agents, copilots, prompt engineering frameworks, and knowledge management solutions.
  • Evaluate emerging AI technologies and establish best practices.

MLOps & AI Governance

  • Establish MLOps pipelines for CI/CD, model versioning, monitoring, and automated retraining.
  • Define AI governance, responsible AI practices, model risk management, and compliance standards.
  • Ensure AI solutions comply with security, privacy, and regulatory requirements.

Technical Leadership

  • Conduct architecture reviews, code reviews, and solution assessments.
  • Define AI technology roadmap and innovation strategy.
  • Provide technical guidance to Data Scientists, ML Engineers, and AI Developers.

Team Leadership & People Management

  • Build, mentor, and lead high-performing AI/ML teams.
  • Conduct performance management, coaching, career development, and succession planning.
  • Foster a culture of innovation, collaboration, and continuous learning.
  • Manage hiring, onboarding, and retention of AI talent.

Program & Delivery Management

  • Manage multiple AI projects and ensure on-time, within-budget delivery.
  • Define project scope, milestones, KPIs, resource allocation, and risk mitigation plans.
  • Coordinate with business stakeholders, technology teams, and executives.
  • Track and report project progress, business value, and ROI.

Stakeholder Management

  • Act as the primary point of contact for AI initiatives.
  • Translate business problems into AI-driven solutions.
  • Present technical concepts, project outcomes, and recommendations to senior leadership.
  • Build relationships with vendors, partners, and external stakeholders.

Strategy & Innovation

  • Define enterprise AI strategy and roadmap.
  • Identify AI opportunities that drive business transformation and competitive advantage.
  • Establish AI Center of Excellence (CoE) frameworks and operational models.
  • Drive adoption of AI across business functions.

Required Qualifications

Education

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
  • Preferred: PhD/Master's in AI/ML/Data Science.

Experience

  • Min 8+ years of IT/Data Analytics experience.
  • Min 5+ years of hands-on AI/ML development experience.

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