Sholinganallur, Chennai
Specialty Development Practitioner #1018468
Job Description:
- We are seeking a highly experienced and innovative AI Developer to lead the design, development, and deployment of cutting-edge AI solutions.
- The ideal candidate will possess deep expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) models, Natural Language Processing (NLP), Large Language Models (LLMs), and Multi-modal Generative AI applications.
- You will be responsible for driving innovation, mentoring team members and pushing the boundaries of what's possible with AI.
- You will work closely with our Industrial Systems IT team to design, implement, and optimize AI models and systems.
Skills Required:
- Lead the design, development, and implementation of advanced AI models and algorithms, with a strong focus on Generative AI techniques.
- Drive innovation by exploring and implementing new AI methodologies and technologies.
- Provide technical leadership and mentorship to AI developers.
- Architect and optimize Retrieval-Augmented Generation (RAG) models for enhanced information retrieval, generation, and contextual understanding.
- Develop strategies for improving RAG model performance, scalability, and adaptability to diverse data sources.
- Apply advanced Natural Language Processing (NLP) techniques for text analysis, understanding, and generation using Large Language Models (LLMs).
- Develop strategies for fine-tuning and adapting LLMs to specific business needs and use cases.
- Design and implement multimodal AI applications that seamlessly integrate and process data from various sources, including text, images, audio, and video.
- Develop strategies for multimodal data fusion and representation learning.
- Lead the training of AI models using large datasets and optimize performance through rigorous testing and evaluation.
- Establish best practices for model evaluation, including metrics selection, validation techniques, and bias detection.
- Architect scalable and reliable deployment strategies for AI models into production environments, ensuring seamless integration with existing systems and infrastructure.
- Stay at the forefront of AI advancements, particularly in Generative AI, LLMs, RAG, NLP, and multimodal AI.
- Conduct research and experimentation to identify new opportunities for AI innovation and develop proof-of-concept applications.
- Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to define project requirements and deliverables.
- Communicate complex technical concepts to non-technical stakeholders and present findings to senior management.
Skills Preferred:
- Oversee the documentation of all aspects of AI models and applications, including design specifications, training procedures, and deployment instructions.
- Establish and enforce best practices for maintaining and updating AI models and applications to ensure optimal performance and reliability.
Experience Required:
- 3 + Years in AI Design and Development
- Expert proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks.
- Deep understanding of AI principles, including machine learning, deep learning, and reinforcement learning.
- Proven ability to design, develop, and deploy RAG models for information retrieval and generation.
- Extensive expertise in NLP techniques, such as sentiment analysis, named entity recognition, and text generation.
- Strong experience with multimodal AI applications, integrating data from various sources.
- Familiarity with cloud computing platforms such as AWS, Azure, or GCP.
- Experience with data visualization tools such as Tableau or Power BI is a plus.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills to effectively convey technical concepts to non-technical stakeholders
Experience Preferred:
- Excellent communication skills, both written and verbal, with the ability to effectively collaborate with both technical and non-technical stakeholders.
- Ability to work independently and as part of a team, taking initiative and contributing to a positive and collaborative work environment.
- Experience with data collection, cleaning, and validation processes.
- Ability to ensure data accuracy and consistency.
Education Required:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Additional Information :
- Publications or contributions to the AI research community.
- Proficiency in Microsoft Office Suite, including Excel and PowerPoint.
- Understanding of IT infrastructure and systems.
- Ability to work independently and as part of a team.
- Strong organizational and time management skills.
- Detail-oriented with a focus on accuracy.
- Knowledge and experience in IT Business Operations.
- This includes a strong understanding of IT processes, workflows, and best practices