Key Responsibilities :

- Develop and implement machine learning models, including NLP, deep learning, and LLM-based solutions, to solve business problems for our clients.

- Conduct data analysis and feature engineering to prepare data for modeling and ensure data quality.

- Collaborate with clients to understand their business needs and translate them into data science solutions.

- Communicate findings and recommendations to clients and stakeholders through clear and concise presentations and reports.

- Stay up-to-date with the latest advancements in data science and machine learning and apply them to our projects.

- Contribute to the development of new data science methodologies and tools.

Required Skillset :

- Demonstrated ability to develop and implement machine learning models using Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).

- Proven experience in NLP, deep learning, and LLM techniques.

- Strong data analysis and visualization skills using tools like Pandas, NumPy, and Matplotlib.

- Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.

- Ability to work independently and as part of a team in a fast-paced consulting environment.

- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.