Data Scientist

Position Title: Data Scientist

Qualifications: Bachelor s/Master s degree in Computer Science, Data Science, or related field.
Experience: 2-4 Years

Job Location: Pune

Job Summary:

Our client are seeking an innovative and highly skilled Data Scientist with 2-4 years of experience in cutting-edge machine learning and AI solutions. The ideal candidate will demonstrate a strong foundation in classical machine learning, advanced time series analytics, and proficiency in implementing state-of-the-art Generative AI and multimodal models. Expertise in migrating ML workflows (e.g., SageMaker to Databricks), leveraging the Databricks Lakehouse Platform, and deploying solutions on Azure ML is essential.

Job Description:

Build, train, and fine-tune machine learning models, including classical ML, deep learning, and advanced time series models.
Collaborate with cross-functional teams to collect, preprocess, and manage structured and unstructured data.
Design and deploy scalable and efficient data science pipelines for production environments.
Build and optimize scalable ML pipelines for production use.
Lead or support migration of ML models and workflows across cloud platforms, ensuring alignment with organizational goals.
Maintain a strong focus on innovation, leveraging the latest advancements in AI and ML to address business challenges.
Present insights and recommendations to technical and non-technical stakeholders to drive decision-making.
Leverage Databricks Lakehouse capabilities for feature engineering and model deployment.
Lead the migration of ML models from platforms like AWS SageMaker to Databricks, optimizing for performance, scalability and cost optimization.
Experiment and build generative AI applications and multimodal models to address real-world problems.
Develop creative AI-powered solutions integrating text, image, and numerical data sources.
Partner with data engineers, architects, and product managers to ensure model compatibility with the architecture.
Communicate data-driven insights and actionable solutions effectively to technical and non-technical teams.
Optimize model performance and ensure seamless integration with existing systems and platforms.
Stay updated with industry trends and contribute to the continuous improvement of data science practices.

Required Skills Set:

Proficiency in classical machine learning and time series forecasting.
Good understanding and hands-on of deep learning.
Hands-on experience with model migrations.
Expertise with Databricks Lakehouse platform.