Data Scientist - Generative AI

Job Summary :

Key Responsibilities :

Model Design and Deployment :

- Gain practical experience working with tools and frameworks like Flask, PySpark, PyTorch, TensorFlow, Keras, and Databricks.

- Formulate strategies for data accessibility and augmentation.

- Deploy ML models into production environments (MLOps) on cloud platforms like Azure or AWS.

Data Analysis and Insights :

networks.

- Utilize NLP techniques like RNN, LSTM, and Attention-based models, and work with pre-trained models from platforms like Azure and OpenAI.

- Proficiently write efficient SQL queries to pull and manipulate data from databases.

- Develop innovative data visualizations using tools like d3js, dash-plotly, and neo4j to enhance data comprehension.

Technical and Business Collaboration :

- Collaborate with cross-functional teams to integrate AI/ML models into existing systems.

- Use version control tools (GitHub, Bitbucket) for code management and collaboration.

Required Skills :

Core Experience :

- Practical knowledge of statistics and operations research methods.

Technical Proficiency :

- Expertise in frameworks such as TensorFlow and PyTorch.

- Experience with Image Processing using libraries like OpenCV and Pillow.

- Proficiency in deploying ML models into a production environment (MLOps).

Tools & Platforms :

- Secondary: Keras, OpenCV, Azure or AWS.

- Experience with various tools like Flask, PySpark, Databricks, and Streamlit.