Gen AI Engineer

• As a Generative AI Engineer, you will be responsible for designing and implementing complex generative AI solutions.
• You will collaborate closely with cross-functional teams, including data scientists, software engineers, and project managers, to develop state-of-the-art generative models that address unique business challenges.
• This role requires a deep understanding of generative AI and deep learning techniques, strong technical expertise, and exceptional problem-solving abilities.
• Additionally, you will be responsible for managing a team of AI-ML engineers, providing technical guidance, and fostering a collaborative and innovative work environment.

Essential Job Functions:

• Develop and contribute to end-to-end architecture of highly scalable, distributed machine learning solutions for AI/ML/DL/NLP platforms.
• Contribute to the research and development of advanced generative AI models such as LLM’s ,SLM’s including GANs, VAEs, autoregressive models, and Client architectures.
• Deployment of generative AI models, frameworks, and algorithms into scalable REST API services .
• Conduct research and stay up-to-date with the latest advancements in generative AI to ensure our solutions are at the forefront of the industry.
• Perform code reviews, identify areas for improvement, and optimize AI models for efficiency and scalability.
• Collaborate with data scientists and engineers to preprocess and curate datasets suitable for AI applications.
• Continuously evaluate and improve the performance, accuracy, and reliability of Deep learning and AI models through experimentation and iteration.
• Work collaboratively with engineering and product development teams and cross-functional partners to ensure timely and successful delivery of generative AI projects, meeting Alstom’s expectations.

Qualifications:
EDUCATION:

• B.Tech./ B.E./M.E./M.Tech./M.S. in Computer Science, Information Technology, EE, EEE.

BEHAVIORAL COMPETENCIES:

• Be Innovative and demonstrate to peers and implement in creation of code libraries, reusable codes, and model-based developments.
• Analytical mind and business acumen and Problem-solving aptitude
• Demonstrate excellent communication skills and able to guide, influence and convince others in a matrix organization.
• Team Player.

TECHNICAL COMPETENCIES & EXPERIENCE:

• Proven experience 6+ working in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence.
• Proven track record of designing and implementing deep learning AI solutions, preferably in an industry setting.
• Strong programming skills in languages such as Python, TensorFlow, PyTorch, and frameworks such as LlamaIndex, LangChain and Haystack used in language model development.
• In-depth knowledge of generative AI techniques, including but not limited to generative adversarial networks (GANs), variational auto-encoders (VAEs), and deep reinforcement learning.
• Experience in data mining, Text Mining, working and creating data architectures
• Experience in Microsoft Azure cloud platform
• Exposure to CI/CD, Devops ,Docker and Kubernetes
• Experience in building chatbots, Q & A bots
• Strong mathematics skills (e.g. statistics, algebra, probability)
• Experience in cloud services e.g. PaaS and SaaS, Rest API, serverless functions
• Experience in Compute Engines, VM, Containers and GPU servers.
• Experience working using Agile-based principles and tools
• Excellent problem-solving abilities and the ability to architect innovative solutions to complex business challenges.
• Knowledge of Ontology is an asset
• Experience in Computer Vision is a plus