Role & responsibilities

AI and ML strategy:

- Develop and implement AI and ML strategies aligned with business objectives.
- Stay abreast of industry trends and emerging technologies to ensure our strategies remain cutting-edge.
- Constructively challenge the other data scientists on approach
- Utilize and provide expertise in leading AI platforms, frameworks, and libraries.
- Evaluate and recommend new tools and technologies to enhance our machine learning capabilities.

Lead the AI solutions deliver:

- Partners with business stakeholders to deliver value add insights and intelligent solutions through ML and AI. Collaborates with ML engineers and systems engineers to ensure the models are deployed in a scaled and optimized way. Additionally ensure support the post-production to ensure model performance degrades are proactively managed.
- Is considered an expert in at least one of functional areas; brings together business knowledge, resources, people, and technology to create more effective solutions

Model development and Explorations:

- Lead and contribute to the development of machine learning models from ideation to production deployment.
- Hands-on experience with Google Cloud Platform's Vertex AI for building, deploying, and managing machine learning models.
- Oversee the entire development life cycle of AI solutions including MLOps practices, ensuring high-quality and scalable deliverables.
- Collaborate with cross-functional teams to integrate machine learning solutions into existing products or processes.
- Lead explorations for AI techniques, platforms and tools.

AI Literacy and Mentorship:





- Mentor and guide a team of data scientists in approach for AI solution delivery.
- Foster a cooperative and innovative team environment.
- Contribute to the overall effort to educate stakeholders on AI practices.
- Closely collaborates with the stakeholders on projects and data science leaders to ensure practices are developed and enhanced to support accelerated analytic development and maintainability.

MINIMUM QUALIFICATIONS

- Overall 12+yrs of Industry experience with 8+ years in providing data science solutions.
- Bachelors degree in engineering/ technology
- Proven skills in leading implementations of AI solutions.
- Experienced in providing technical mentorship.
- Expertise in supervised ML algorithms, optimization, and performance tuning.
- Technical Platform- include proficiency on Google Cloud Platform, SQL, Python, spark, Tensorflow.
- Technical Concepts- ML Ops, Containerization, Data Lineage and Visualization.
- Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups.
- Excellent stakeholder management skills and storytelling skills.
- Expert level skill set - AI solutions architecture, Python, SQL. Google Cloud Platform Vertex AI, BQ, Composer, Cloud Storage supervised algorithms.
- Intermediate Level Skill set - ML Ops, GCP cloud architecture, At Scale & Alation and Deep Learning

PREFERRED QUALIFICATIONS

- Prior experience with CPG/ Retail industry.
- Publications or contributions to the data science and AI community.
- Certifications in AI, machine learning, or related fields.

📌 Lead Data Scientist (Mumbai)
🏢 General Mills
📍 Mumbai