Data Scientist-Artificial Intelligence
IBM
Data Scientist-Artificial Intelligence
Job Description
Data Scientist-Artificial Intelligence
📋 Job Overview
The Data Scientist-Artificial Intelligence role at IBM involves driving end-to-end ML/AI initiatives, from presales to large-scale delivery. The position requires strong expertise in the Databricks ML ecosystem and experience with Generative AI and LLM fine-tuning. The role focuses on defining AI/ML strategy, ensuring successful execution, and mentoring teams to deliver responsible and business-aligned AI solutions.
📍 Location: Mumbai, IN
💼 Career Level: Professional
🎯 Key Responsibilities
- Drive end-to-end ML/AI initiatives from presales solution shaping to large-scale delivery, deployment, and adoption
- Define AI/ML strategy and ensure successful execution
- Mentor teams and drive responsible and business-aligned AI delivery
✅ Required Qualifications
- Senior/Lead ML Data Scientist
- Strong expertise in the Databricks ML ecosystem
- Proven experience in Generative AI and LLM fine-tuning
🛠️ Required Skills
- Databricks ML ecosystem
- Generative AI
- LLM fine-tuning
- AI/ML strategy
- Mentoring
- Responsible AI delivery
- Business-aligned AI delivery
🎁 Benefits & Perks
- Long-term career growth and development opportunities
- Encouragement to be courageous and experiment
- Continuous trust and support in an inclusive environment
- Opportunity to learn and develop oneself and career
Locations
- Mumbai, IN, India
Salary
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Databricks ML ecosystemintermediate
- Generative AIintermediate
- LLM fine-tuningintermediate
- AI/ML strategyintermediate
- Mentoringintermediate
- Responsible AI deliveryintermediate
- Business-aligned AI deliveryintermediate
Required Qualifications
- Senior/Lead ML Data Scientist (experience)
- Strong expertise in the Databricks ML ecosystem (experience)
- Proven experience in Generative AI and LLM fine-tuning (experience)
Responsibilities
- Drive end-to-end ML/AI initiatives from presales solution shaping to large-scale delivery, deployment, and adoption
- Define AI/ML strategy and ensure successful execution
- Mentor teams and drive responsible and business-aligned AI delivery
Benefits
- general: Long-term career growth and development opportunities
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in an inclusive environment
- general: Opportunity to learn and develop oneself and career
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist-Artificial Intelligence @ IBM.
Related Books and Jobs
Data Scientist-Artificial Intelligence
IBM
Data Scientist-Artificial Intelligence
Job Description
Data Scientist-Artificial Intelligence
📋 Job Overview
The Data Scientist-Artificial Intelligence role at IBM involves driving end-to-end ML/AI initiatives, from presales to large-scale delivery. The position requires strong expertise in the Databricks ML ecosystem and experience with Generative AI and LLM fine-tuning. The role focuses on defining AI/ML strategy, ensuring successful execution, and mentoring teams to deliver responsible and business-aligned AI solutions.
📍 Location: Mumbai, IN
💼 Career Level: Professional
🎯 Key Responsibilities
- Drive end-to-end ML/AI initiatives from presales solution shaping to large-scale delivery, deployment, and adoption
- Define AI/ML strategy and ensure successful execution
- Mentor teams and drive responsible and business-aligned AI delivery
✅ Required Qualifications
- Senior/Lead ML Data Scientist
- Strong expertise in the Databricks ML ecosystem
- Proven experience in Generative AI and LLM fine-tuning
🛠️ Required Skills
- Databricks ML ecosystem
- Generative AI
- LLM fine-tuning
- AI/ML strategy
- Mentoring
- Responsible AI delivery
- Business-aligned AI delivery
🎁 Benefits & Perks
- Long-term career growth and development opportunities
- Encouragement to be courageous and experiment
- Continuous trust and support in an inclusive environment
- Opportunity to learn and develop oneself and career
Locations
- Mumbai, IN, India
Salary
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Databricks ML ecosystemintermediate
- Generative AIintermediate
- LLM fine-tuningintermediate
- AI/ML strategyintermediate
- Mentoringintermediate
- Responsible AI deliveryintermediate
- Business-aligned AI deliveryintermediate
Required Qualifications
- Senior/Lead ML Data Scientist (experience)
- Strong expertise in the Databricks ML ecosystem (experience)
- Proven experience in Generative AI and LLM fine-tuning (experience)
Responsibilities
- Drive end-to-end ML/AI initiatives from presales solution shaping to large-scale delivery, deployment, and adoption
- Define AI/ML strategy and ensure successful execution
- Mentor teams and drive responsible and business-aligned AI delivery
Benefits
- general: Long-term career growth and development opportunities
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in an inclusive environment
- general: Opportunity to learn and develop oneself and career
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist-Artificial Intelligence @ IBM.
Related Books and Jobs