Job highlights

- Proven track record of designing and implementing deep learning AI solutions,preferably in an industry setting
- LANGUAGE SKILLS: . Proficient in English language . Good written and Verbal communication skill
- Team Player. TECHNICAL COMPETENCIES EXPERIENCE: . .

Job Title: Generative 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 workplace.

RESPONSIBILITIES:

- 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 novel 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.

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.

LANGUAGE SKILLS:

- Proficient in English language
- Good written and Verbal communication skill

Job Location : Noida

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