Data Scientist - AI/ML Solutions
- Compensation
- Not disclosed
- Location
- Bangalore
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 8+ years
- Category
- Data science
- Posted
Skills
Full description
Job Description : Position : Senior Data Scientist II
Experience : 8 to 12 Years
Location : Bengaluru (Hybrid)
Compensation : Market Standards
Employment Type : Full-Time
Job Summary :
We are seeking a highly motivated and experienced Senior Data Scientist II to join our AI & Data Science team.
In this role, you will lead the design, development, and deployment of advanced AI and Machine Learning solutions that solve complex business challenges and deliver measurable customer value. You will work closely with cross-functional teams to build intelligent, scalable, and production-ready AI capabilities across enterprise applications.
The ideal candidate is passionate about Machine Learning, Generative AI, Natural Language Processing (NLP), and Data Analytics, with strong hands-on experience in Python, SQL, and AWS Machine Learning services.
Key Responsibilities :
- Design, develop, and deploy scalable Machine Learning and AI solutions for enterprise applications.
- Own the complete AI/ML lifecycle, including data collection, feature engineering, model development, validation, deployment, monitoring, and optimization.
- Develop and implement advanced Machine Learning, Deep Learning, NLP, and Generative AI models.
- Collaborate with Product Managers, Engineers, and Business Stakeholders to identify AI opportunities and translate business requirements into technical solutions.
- Build rapid prototypes, conduct experiments, and scale successful models into production.
- Analyze structured and unstructured datasets to derive actionable business insights.
- Develop robust data pipelines and feature engineering workflows.
- Optimize model performance, scalability, and reliability in production environments.
- Mentor and guide Data Scientists, Machine Learning Engineers, and Data Engineers.
- Conduct code reviews and promote AI/ML best practices across the engineering organization.
- Stay updated with emerging AI technologies, frameworks, and industry trends.
- Ensure compliance with data governance, security, and responsible AI practices.
Required Skills : 1. Programming :
- Python
- SQL
2. Machine Learning & AI :
- Machine Learning, Deep Learning, Generative AI, Natural Language Processing (NLP), Predictive Analytics, Statistical Modeling, Optimization Techniques, Feature Engineering, Model Evaluation & Validation, Model Deployment.