AI/ML and Data Scientist

As a Machine Learning, Data, and Research Scientist, you will hold a multifaceted role, responsible for developing and advancing AI and machine learning capabilities, performing data analysis, and contributing to research initiatives. You will be a crucial member of our team, guiding the development of intelligent applications and leveraging data-driven insights to shape our product offerings.


Position: AI/ML and Data Scientist

Number of Positions: Two

Experience: Any one can apply

Location: Surat, Gujarat (INDIA)

Roles & Responsibilities:


  • Develop, train, and fine-tune machine learning models, particularly language models like GPT.
  • Perform data analysis to extract meaningful insights from various data sources.
  • Design and conduct research experiments to enhance AI capabilities.
  • Collaborate with cross-functional teams to integrate AI models and data-driven solutions into our applications.
  • Optimize models for performance, accuracy, and efficiency.
  • Build and maintain data pipelines for model training and analysis.
  • Contribute to the development of AI research strategies and projects.
  • Stay updated with the latest advancements in AI, machine learning, and data science.
  • Ensure data privacy and security in machine learning applications.
  • Communicate research findings and data insights effectively to non-technical team members.


Required Skills:


  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • Proven experience in machine learning model development, data analysis, and research.
  • Proficiency in programming languages like Python, TensorFlow, PyTorch, or other relevant AI and data science libraries.
  • Strong understanding of natural language processing (NLP), deep learning techniques, and data analysis.
  • Knowledge of data engineering, data preprocessing, and data pipelines.
  • Strong research and problem-solving skills.
  • Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP).
  • Excellent communication and collaboration skills.
  • Experience with research methodologies, publications, or contributions to AI/ML communities is a bonus.