Job Description:
We are seeking a highly skilled and experienced Generative AI Specialist to join our dynamic team. The ideal candidate will have a strong background in working with various large language models (LLMs) such as ChatGPT, LLaMA, and Bedrock, and possess in-depth knowledge of Microsoft Copilot. Should be able to implement the solution considering customer environment/constraints and technically lead the team . Additionally, the candidate should be proficient in various automation tools to streamline and enhance our AI-driven processes.
Key Responsibilities:
Develop & Implement AI Models:-
Design, develop, and deploy Generative AI models (e.g., GPT, DALL·E, Stable Diffusion).
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Fine-tune pre-trained models to address specific use cases and industry challenges.
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Drive Innovation:
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Lead the research and implementation of advanced Generative AI technologies.
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Identify and explore new applications for AI across domains, ensuring business impact.
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Collaborate & Deliver:
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Partner with product, engineering, and data teams to align AI capabilities with organizational goals.
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Deliver end-to-end solutions, including APIs and microservices for production-grade applications.
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Optimize AI Solutions:
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Ensure scalability, performance, and reliability of deployed models.
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Address bottlenecks in training and inference workflows.
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Lead & Mentor:
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Guide junior team members, fostering a culture of learning and technical excellence.
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Contribute to building best practices and standardizing workflows in AI development.
Must-Have Skills
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Extensive experience with frameworks such as PyTorch, TensorFlow, and Hugging Face.
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Advanced knowledge of transformer architectures and LLMs (e.g., GPT, BERT, T5).
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Strong expertise in training and deploying Generative AI models like DALL·E, Stable Diffusion, or similar.
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Proficiency in Python and cloud platforms (AWS, Azure, or GCP) for AI development.
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Demonstrated ability to optimize model performance and scalability in production environments.
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Ability to work in a fast-paced and dynamic environment.
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Knowledge of natural language processing (NLP) techniques and tools.
Good-to-Have Skills
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Good understanding of PLM solutions
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Experience working for Aerospace customers.
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Knowledge of Microsoft Copilot and its applications.
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Experience in reinforcement learning, multi-modal AI systems, or unsupervised learning.
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Familiarity with MLOps workflows, including CI/CD pipelines for machine learning.
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Knowledge of ethical AI practices and bias mitigation techniques.
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Expertise in tools for data annotation, model evaluation, and A/B testing.
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Experience in building AI solutions for personalization, content generation, or automation.
What We Offer
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A dynamic and collaborative work environment with opportunities to work on cutting-edge technologies.
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Competitive compensation package and benefits.
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Professional growth opportunities, including exposure to advanced AI research and industry use cases.
Total Experience Expected: 06-08 years
