Generative AI Engineer - A2C : Job Details

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We are looking for a strategic and hands-on Generative AI Lead to spearhead the design, development, and deployment of cutting-edge AI systems. In this role, you will lead cross-functional teams to deliver scalable and impactful GenAI solutions that drive business transformation. The ideal candidate has deep expertise in AI/ML, especially in generative models, and a strong track record of technical leadership and execution.

Key Responsibilities:

• Lead cross-functional teams of engineers, data scientists, and architects to build scalable, secure, and high-performing AI systems.
• Drive the end-to-end development of generative AI solutions using technologies such as large language models (LLMs), diffusion models, and multimodal AI.
• Architect and deploy AI/ML systems that integrate seamlessly with existing data platforms, APIs, and cloud infrastructure.
• Collaborate with product, engineering, and business stakeholders to define AI strategy, roadmap, and success metrics.
• Guide and mentor a team of AI/ML engineers and researchers, fostering a culture of innovation and continuous learning.
• Stay up to date with the latest advancements in AI/ML, particularly in GenAI, and evaluate emerging tools, models, and frameworks.
• Champion responsible AI principles, including model transparency, fairness, and governance.
• Ensure implementation of MLOps best practices across the model lifecycle, including training, deployment, monitoring, and retraining.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field;
• 5+ years of experience in AI/ML engineering or research, with at least 2 years leading technical teams.
• Proven experience developing and deploying generative AI models (e.g., GPT, LLaMA, Stable Diffusion).
• Strong understanding of deep learning frameworks such as PyTorch and TensorFlow.
• Proficient in building AI applications using tools like Hugging Face Transformers, LangChain, OpenAI APIs, or similar platforms.
• Solid knowledge of MLOps principles, including model versioning, CI/CD, and cloud-based deployment (AWS, GCP, Azure).
• Excellent communication and leadership skills, with the ability to influence across technical and business teams.

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionInformation Technology
• IndustriesIT Services and IT Consulting

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