Date Scientist - Artificial Intelligence/Machine Learning (3-5 yrs)

Job Description :

Role : AI Engineer / Data Scientist

Role Overview :

We are seeking an accomplished and visionary Data Scientist with minimum 5 Years of experience in Data Science and Machine learning, preferable experience around NLP, Generative AI, LLMs, MLOps, Optimization techniques and AI solution Architecture to lead our AI team and drive the strategic direction of AI initiatives. In this role you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise and leadership skills.

The ideal candidate should have a proven track record in AI leadership, a deep understanding of AI technologies, and experience in designing and implementing cutting-edge AI models and systems.

Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Minimum 5 Years of experience in Data Science and Machine learning. Excellent leadership skills with at least 2-3 years of people management OR technical architecture experience.

Responsibilities :

Your technical responsibilities :

- Provide strategic direction and technical leadership for AI initiatives, guiding the team in designing and implementing state-of-the-art AI solutions.

- Lead the design and architecture of complex AI systems, ensuring scalability, reliability, and performance.

- Drive the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.

- Collaborate with stakeholders to identify business opportunities, define AI project goals, and prioritize initiatives based on strategic objectives.

- Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.

- Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.

- Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.

- Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.

- Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.

- Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.

- Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.

- Ensure compliance with data privacy, security, and ethical considerations in AI applications.

- Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Good to Have Skills :

- Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.

- Experience on Optimization tools and techniques(MIP etc).

- Drive DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

- Implement CI/CD pipelines and automate model deployment and scaling processes.

- Utilize tools such as Docker, Kubernetes, and Git for building and managing AI pipelines.

- Implement monitoring and logging tools to ensure the performance and reliability of deployed AI models.

- Collaborate with software engineering and operations teams to ensure seamless integration and deployment of AI models.

Your client responsibilities :

- Work for managing the successful design, execution, and measurement of data initiatives across customer-facing engagements

- Communicate with internal stakeholders to make recommendations based on data

- Sort out business problems to translate into analytical questions to simplify and accelerate the solution development.

- Balancing excellent business communication skills with a deep analytical understanding is needed

- Run Scrum calls for team.

- Manage client delivery.

- Applying data Science, ML algorithms, using standard statistical tools and techniques for solving client business problems.

- Regular status reporting to Management

- Willing to be flexible to work on various tools and technologies based on demand