Senior Consultant - Data Scientist

Job Title: Data Scientist Position Summary: - As a Data Scientist at FSL, you will leverage your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing and Generative AI to develop innovative data-driven solutions and applications. You will play a key role in designing and deploying dynamic models and applications using modern web frameworks like Flask and FastAPI, ensuring efficient deployment and ongoing monitoring of these systems. Key Responsibilities: - Model Development and Application: Design and implement advanced ML and DL models. Develop web applications for model deployment using Flask and FastAPI to enable real-time data processing and user interaction. - Data Analysis: Perform exploratory data analysis to understand underlying patterns, correlations and trends. Develop comprehensive data processing pipelines to prepare large datasets for analysis and modeling. - Generative AI: Employ Generative AI techniques to create new data points, enhance content generation and innovate within the field of synthetic data production. - Collaborative Development: Work with cross-functional teams to integrate AI capabilities into products and systems. Ensure that all AI solutions are aligned with business goals and user needs. - Research and Innovation: Stay updated with the latest developments in AI, ML, DL, CV and NLP. Explore new technologies and methodologies that can impact our products and services positively. - Communication: Effectively communicate complex quantitative analysis in a clear, precise and actionable manner to senior management and other departments. Required Skills and Qualifications: - Education: BE or Master’s or PhD in Computer Science, Data Science, Statistics or a related field. - Experience: 5 to 7 years of relevant experience in a data science role with a strong focus on ML, DL and statistical modeling. - Technical Skills: Strong coding skills in Python, including experience with Flask or FastAPI. Proficiency in ML, DL frameworks (e.g., PyTorch, TensorFlow), CV (e.g., OpenCV) and NLP libraries (e.g., NLTK, spaCy). - Generative AI: Experience with generative models such as GANs, VAEs or Transformers. - Deployment Skills: Experience with Docker, Kubernetes and continuous integration/continuous deployment (CI/CD) pipelines. - Strong Analytical Skills: Ability to translate complex data into actionable insights. - Communication: Excellent written and verbal communication skills. - Certifications: Certifications in Data Science, ML or AI from recognized institutions is added advantage. Location: Hyderabad, Mumbai, Bangalore and Chennai