Data Scientist - Generative AI Solution

Description :

Eligibility Criteria :

- Years of Experience : 8 to 12 years

- Professional Experience : Proven expertise in designing and developing enterprisewide datascience solutions and scalable architectures.

- Education : Bachelors, Masters, or Ph.D. in Computer Science, Data Science, or a related field.

Responsibilities :

- Design and implement end-to-end AI/ML and Generative AI solution aligned with business and scalability requirements.

- Evaluate and select data science tools, frameworks, and platforms to build an efficient and cohesive ecosystem.

- Deliver ML and Gen AI solutions within cloud environments (preferably Azure).

- Be hands-on with ML model development and provide the right solutions for complex business problems.

- Stay updated on emerging AI/ML technologies and ensure continuous enhancement of data science capabilities.

- Collaborate closely with data scientists, engineers, and business stakeholders to translate requirements into architectural solutions.

- Foster a collaborative environment that encourages cross-functional innovation.

- Establish monitoring and governance mechanisms to track model performance and address issues proactively.

- Deliver quick POCs and generate insights from diverse and complex datasets.

- Provide technical leadership for end-to-end solution development and offer hands-on guidance to teams.

Mandatory Skills :

- Proven experience as a Data Science Architect or senior AI/ML leader, with a track record of delivering enterprise-scale AI/ML/DL/GenAI solutions.

- Strong proficiency in programming languages such as Python or R, along with expertise in ML/DL frameworks.

- Deep knowledge of machine learning, statistical modeling, and applied data science techniques.

- Experience with cloud platforms (Azure, AWS, or GCP) and big data technologies (Hadoop, Spark, etc.).

- Strong understanding of MLOps and ML fail-safe principles.

- Hands-on experience with project management and agile methodologies (e.g., MS Project).

- Strong stakeholder management skills (internal and external).

- Strategic thinker with the ability to align technology with business outcomes.

- Excellent communication, leadership, and decision-making skills.

- Ability to thrive in a dynamic, collaborative, and fast-paced environment.