Data Scientist - NLP/Generative AI (10-15 yrs)

Job Summary :

We are looking for a Senior Data Scientist with extensive experience in Predictive Analytics and Generative AI. The ideal candidate will have around 10+ years of experience and a strong foundation in machine learning, statistical modeling, and deep learning. In this role, you will design and implement AI models that drive data-driven decision-making and innovative solutions across various applications.

Key Responsibilities :

- Model Development : Design, develop, and deploy advanced predictive models using machine learning techniques to forecast trends, behaviors, and outcomes.

- Generative AI Solutions : Lead the design and implementation of generative AI models (e.g., GANs, VAEs) to create synthetic data, text, images, or other content based on project requirements.

- AI Research & Innovation : Stay up to date with the latest developments in AI and machine learning, including state-of-the-art generative and predictive modeling techniques, to continuously innovate and improve existing systems.

- End-to-End Projects : Work on end-to-end AI/ML projects from data collection, processing, feature engineering, model training, and evaluation to production deployment.

- Model Evaluation : Ensure model accuracy and robustness by performing rigorous testing and fine-tuning using advanced validation techniques and continuous monitoring.

- Mentorship : Provide guidance and mentorship to junior data scientists and data engineers within the team.

Required Qualifications :

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

- 10+ years of experience in data science, machine learning, and AI.

- Strong expertise in predictive modeling techniques such as regression analysis, time series forecasting, classification, and clustering.

- Hands-on experience with Generative AI models (GANs, VAEs, etc.) and experience in generating synthetic data, images, or text.

- Proficiency in programming languages like Python, R, and frameworks such as TensorFlow, PyTorch.

- Experience with deep learning architectures like CNNs, RNNs, Transformers, and attention-based models.

- Experience with cloud platforms (e.g., Azure or AWS or Google Cloud) for scaling AI models and deploying solutions.

- Strong knowledge of data preprocessing and feature engineering techniques.

- Experience with NLP, computer vision, or similar domains is a plus.

- Excellent communication skills to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications :

- Prior experience with LLMs (Large Language Models) or similar cutting-edge AI technologies.

Soft Skills :

- Strong problem-solving abilities with a strategic mindset.

- Excellent collaboration skills and the ability to work cross-functionally with various teams.

- Strong attention to detail and a commitment to delivering high-quality solutions.

- A passion for continuous learning and staying ahead in AI and machine learning advancements.