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ZettaMine - Lead Engineer - Generative AI

ZettaMine - Lead Engineer - Generative AI

ZettaMine Labs Pvt LtdBangalore
29 days ago
Job description

Job Description : Generative AI Lead Engineer

Location : Bengaluru, India

Experience : Minimum 5 years in Generative AI

Summary :

We are seeking a highly skilled AI / ML Engineer with strong expertise in Generative AI to join our team in Bengaluru. In this role, you will design, develop, and deploy production-ready AI solutions leveraging advanced deep learning techniques, generative models, and cloud AI services.

You will work closely with cross-functional teams to ensure seamless integration of AI capabilities, optimize performance, and deliver innovative AI-driven applications that enhance business value and user experience.

Roles & Responsibilities :

  • Act as a Subject Matter Expert (SME) in Generative AI and related technologies.
  • Lead, collaborate, and manage a team to deliver high-quality AI solutions.
  • Provide strategic input and solutions to technical challenges within the immediate team and across multiple teams.
  • Participate in critical decision-making processes related to AI design, architecture, and deployment.
  • Mentor and guide junior team members, fostering skill development in AI / ML technologies.
  • Design, train, and fine-tune Generative AI models for real-world applications.
  • Continuously evaluate and improve AI systems to ensure scalability, performance, and reliability.
  • Collaborate with product managers, architects, and engineering teams to align AI solutions with business objectives.

Professional & Technical Skills :

Must-Have Skills :

  • Proven expertise in Generative AI with minimum 5 years of hands-on experience.
  • Strong knowledge of deep learning frameworks such as TensorFlow or PyTorch.
  • Experience in cloud platforms (AWS, Azure, or GCP) with a focus on AI / ML deployment and optimization.
  • Proficiency in data preprocessing, augmentation, and feature engineering.
  • Ability to design and implement scalable, production-grade AI solutions.
  • Good-to-Have Skills :

  • Knowledge of LLMs (Large Language Models), diffusion models, or reinforcement learning.
  • Hands-on experience with MLOps tools for model deployment, monitoring, and automation.
  • Familiarity with APIs, microservices, and containerization (Docker / Kubernetes) for AI integration.
  • Strong problem-solving, analytical, and communication skills.
  • (ref : hirist.tech)

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