Key Responsibilities:

- Shows mastery of technical disciplines related to data science, AI, and ML capabilities and is recognized within the company as a senior member of a technical team.
- Initiative and creativity result in high degree of innovation while showing the capacity to solve major problems of an advanced complexity within his/her area of expertise.

Key skills:

- Collaborates with data engineers, data scientists, and business stakeholders to understand data requirements and ensure data availability and quality.
- Develop and maintain data pipelines to support data ingestion, transformation, and storage.
- Implement data governance practices to ensure data integrity, security, and compliance.
- Provide technical support for data science platforms, including troubleshooting and resolving issues.
- Optimize platform performance and scalability to meet the needs of data science teams.
- Assist in the deployment and management of machine learning models and algorithms.
- Solves complex, novel and non-recurring problems.
- Works closely with cross-functional teams to identify and address data-related challenges.
- Provides training and support to data scientists and analysts on platform usage and best practices.
- - Accountability:




- Works on and leads medium to large projects and assignments.
- Coaches and mentors less experienced staff, influences others as a technical leader.
- Regularly provides specialized technical guidance to others in work area.
- Participates in and/or leads cross-functional teams across sites.

Knowledge, Skills & Abilities:

- Proven experience in data engineering, data enablement, or data science platform support.
- Robust programming skills in languages such as Python, R, PySpark, and SQL.
- Experience with data science platforms and tools (e.g., Dataiku, Sagemaker Studio, TensorFlow).
- Knowledge of AWS cloud computing platform and services
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Experience with machine learning model deployment and management.
- Familiarity with data governance and compliance standards.

Required Skills & Qualifications:

- Requires a technical (University) degree. (Exceptions approved by local HR),
- Bachelors or Masters degree in Computer Science, Data Science, or a related field.
- BS + 6-7 years of experience or MS + 5-6 years or PhD + 3-4 years

📌 AI/ML Specialist (Bengaluru)
🏢 Globalfoundries
📍 Bengaluru