Data Scientist
About The Client:
Client is an Indian multinational technology company specializing in information technology services and consulting. Headquartered in Mumbai, it is a part of the Tata Group and operates in 150 locations across 46 countries.
About The Job:
- Design| develop| and deploy AIML models and data-driven solutions to solve business problems| improve decision-making| and enable intelligent automation across enterprise systems.
- Build | train| and optimize machine learning and deep learning models.
- Develop end-to-end AI solutions (data ingestion model deployment monitoring).
- Analyze large datasets to extract insights and drive business value.
- Design and implement APIs services for AI model integration.
- Collaborate with business| engineering| and DevOps teams for scalable deployment.
- Ensure model performance| accuracy| and governance (bias| explainability| compliance).
- Leverage cloud AI platforms (AWS| Azure| GCP) for development and deployment.
- Experience Required: 8-10
Essential Job Functions:
- Design| develop| and deploy AIML models and data-driven solutions to solve business problems| improve decision-making| and enable intelligent automation across enterprise systems.
- Build | train| and optimize machine learning and deep learning models.
- Develop end-to-end AI solutions (data ingestion model deployment monitoring).
- Analyze large datasets to extract insights and drive business value.
- Design and implement APIs services for AI model integration.
- Collaborate with business| engineering| and DevOps teams for scalable deployment.
- Ensure model performance| accuracy| and governance (bias| explainability| compliance).
- Leverage cloud AI platforms (AWS| Azure| GCP) for development and deployment.
Qualifications:
Essential Skills:
- Design| develop| and deploy AIML models and data-driven solutions to solve business problems| improve decision-making| and enable intelligent automation across enterprise systems.
- Build | train| and optimize machine learning and deep learning models.
- Develop end-to-end AI solutions (data ingestion model deployment monitoring).
- Analyze large datasets to extract insights and drive business value.
- Design and implement APIs services for AI model integration.
- Collaborate with business| engineering| and DevOps teams for scalable deployment.
- Ensure model performance| accuracy| and governance (bias| explainability| compliance).
- Leverage cloud AI platforms (AWS| Azure| GCP) for development and deployment.
Desirable Skills:
- Skills: Digital : Data Science
Keyword:
- Digital : Data Science
- AI/ML
- Machine Learning
- Deep Learning
- AWS
- Azure
- GCP
Experience Required: 8-10
How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.
Unlock Rewards: Refer Candidates and Earn.
If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the preferred candidate completes a three-month assignment with VARITE.
Experience Level Bonus Referral:
| 0-2 years | INR 5,000 |
| 2-6 years | INR 7,500 |
| 6+ years | INR 10,000 |
About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.
Equal Opportunity Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.
