AI Lead

2 days ago

Pune, Maharashtra, India HashXpert Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Role Overview
We are seeking a visionary AI Lead to spearhead the design, development, and deployment of advanced AI/ML solutions in the domain of connected vehicle analytics. This role demands a strategic thinker with hands-on expertise in machine learning platforms and a passion for transforming data into actionable intelligence that drives business outcomes.

  • Strategize & Lead AI Initiatives : Define and execute the end-to-end AI/ML roadmap for connected vehicle analytics, ensuring scalability, performance, and alignment with business goals.
  • Architect ML Solutions : Design robust machine learning systems using platforms such as Google Vertex AI, TensorFlow, and AutoML, tailored to real-time vehicle data and predictive analytics.
  • Guide Data Science Execution Mentor and lead a team of data scientists and ML engineers in model experimentation, validation, and deployment. Foster a culture of innovation and continuous learning.
  • Establish MLOps Frameworks : Implement and optimize MLOps pipelines for seamless integration, monitoring, and lifecycle management of models in production environments.
  • Business Alignment & Impact Collaborate with cross-functional stakeholders to ensure AI solutions deliver measurable value and support strategic business objectives.
  • Proven experience in AI/ML architecture design and deep learning frameworks
  • Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Hands-on experience with MLOps tools and cloud platforms (preferably GCP)
  • Expertise in model deployment, monitoring, and performance tuning
  • Demonstrated leadership in mentoring technical teams and driving project success
  • Excellent communication and stakeholder management skills
  • 8+ years of experience in AI/ML roles, with at least 3 years in a leadership capacity
  • Prior exposure to automotive, IoT, or connected systems domains
  • Certifications in cloud AI platforms (e.g., Google Cloud ML Engineer)

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