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).
- Fine-tune pre-trained models to address specific use cases and industry challenges.
- Drive Innovation:
- Lead the research and implementation of advanced Generative AI technologies.
- Identify and explore new applications for AI across domains, ensuring business impact.
- Collaborate & Deliver:
- Partner with product, engineering, and data teams to align AI capabilities with organizational goals.
- Deliver end-to-end solutions, including APIs and microservices for production-grade applications.
- Optimize AI Solutions:
- Ensure scalability, performance, and reliability of deployed models.
- Address bottlenecks in training and inference workflows.
- Lead & Mentor:
- Guide junior team members, fostering a culture of learning and technical excellence.
- Contribute to building best practices and standardizing workflows in AI development.
Must-Have Skills
- Extensive experience with frameworks such as PyTorch, TensorFlow, and Hugging Face.
- Advanced knowledge of transformer architectures and LLMs (e.g., GPT, BERT, T5).
- Strong expertise in training and deploying Generative AI models like DALL·E, Stable Diffusion, or similar.
- Proficiency in Python and cloud platforms (AWS, Azure, or GCP) for AI development.
- Demonstrated ability to optimize model performance and scalability in production environments.
- Ability to work in a fast-paced and dynamic environment.
- Knowledge of natural language processing (NLP) techniques and tools.
Good-to-Have Skills
- Good understanding of PLM solutions
- Experience working for Aerospace customers.
- Knowledge of Microsoft Copilot and its applications.
- Experience in reinforcement learning, multi-modal AI systems, or unsupervised learning.
- Familiarity with MLOps workflows, including CI/CD pipelines for machine learning.
- Knowledge of ethical AI practices and bias mitigation techniques.
- Expertise in tools for data annotation, model evaluation, and A/B testing.
- Experience in building AI solutions for personalization, content generation, or automation.
What We Offer
- A dynamic and collaborative work environment with opportunities to work on cutting-edge technologies.
- Competitive compensation package and benefits.
- Professional growth opportunities, including exposure to advanced AI research and industry use cases.
Total Experience Expected: 06-08 years
Education
UG: B.Tech/B.E. in Any Specialization
PG: M.Tech in Any Specialization, MS/M.Sc(Science) in Any Specialization
Qualifications:
- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Total of 7+ years of hands-on experience on AI with good exposure on generative AI and LLMs such as ChatGPT, LLaMA, and Bedrock.
- Proficiency in programming languages such as Python, Java, or similar.
- Experience with automation tools and frameworks.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences.
All of our positions are open to people with disabilities.