About the Role:
We are seeking a highly motivated Data Scientist to join our LS Digital team. The ideal candidate will have hands-on experience in building ML models, developing end-to-end pipelines, and deploying AI/ML solutions. Exposure to Generative AI technologies is a plus. In this role, you will contribute to the design, development, and deployment of AI/ML-driven products and services leveraging Google Vertex AI and related Google Cloud Machine Learning capabilities.
Key Responsibilities:
• Design, develop, and deploy end-to-end machine learning pipelines.
• Build predictive and prescriptive models to solve business problems.
• Collaborate with cross-functional teams to implement AI/ML solutions in production.
• Optimize and monitor ML models to ensure performance and scalability.
• Explore and apply Generative AI technologies to enhance product capabilities.
• Translate business requirements into technical solutions leveraging Vertex AI and Google ML tools.
• Document methodologies, models, and processes for internal use and knowledge sharing.
Qualifications & Skills:




• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
• 2 - 3 years of experience in data science, machine learning, and analytics.
• Strong programming skills in Python and familiarity with ML frameworks (Tensor Flow, Py Torch, or scikit-learn).
• Experience with building and deploying end-to-end ML pipelines.
• Exposure to cloud ML platforms, preferably Google Vertex AI.
• Solid SQL skills for querying, data manipulation, and working with structured datasets.
• Understanding of data engineering concepts, data preprocessing, and feature engineering.
• Knowledge of Generative AI models and applications is a plus.
• Strong problem-solving skills, analytical mindset, and attention to detail.
• Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
Why Join Us:
• Work on cutting-edge AI/ML projects with real

📌 Data scientist (Navi Mumbai)
🏢 LS Digital Group
📍 Navi Mumbai