What you’ll do:

• Conducting research on cutting-edge ML and AI techniques to innovate data analysis, predictive modeling, and optimization.
• Designing, developing, and implementing ML and AI models to tackle specific business challenges, employing various statistical and machine learning methods like regression, classification, clustering, and deep learning.
• Analyzing vast, intricate datasets for valuable insights through exploratory data analysis and visualization, understanding data trends and characteristics.
• Evaluating model performance using relevant metrics and validation techniques, optimizing parameters to enhance accuracy and generalization.
• Collaborating with diverse teams including data engineers, software developers, and business stakeholders, effectively communicating technical concepts to both technical and non-technical audiences.
• Deploying ML and AI models in production environments with a focus on scalability, reliability, and performance, seamlessly integrating them with existing systems for real-time decision-making.
• Continuously updating knowledge in ML, AI, and related fields, fostering a culture of innovation and excellence by sharing best practices within the team

What makes you a great fit:

• Programming Languages Python/ R, PySpark.or Java
• Expertise in deep learning frameworks (e.g., PyTorch, TensorFlow) and libraries commonly used in NLP and Generative AI.
• Hands-on experience with Deep Learning Technology.
• Expert level understanding of statistical analysis, ML algorithms, and data modeling techniques.
• Experience in the application of Linear Programming and metaheuristic algorithms of Artificial Intelligence.
• Familiarity with Data Visualization Tools such as Tableau, Power BI, Data-Driven Documents.
• Solid understanding of A/B testing principles to refine and optimize models.
• Strong problem-solving skills, critical thinking abilities, and attention to detail.
• Effective communication and collaboration skills with the ability to work in a fast-paced, dynamic environment.
• Exposure to solving use cases using Generative AI
• Exposure to Reinforcement Learning algorithms