Data Scientist

Required Skills & Qualifications:

• 5+ years of experience as a Data Scientist or ML Engineer, working on real-world AI/ML projects.
• Strong expertise in Machine Learning, Deep Learning, NLP, and Computer Vision techniques.
• Hands-on experience with Generative AI models (LLMs, VLMs, MLLMs), and an understanding of multi-modal neural networks and Transformer architectures.
• Proficiency in Python, R, and key ML/DL libraries (Scikit-learn, Pandas, TensorFlow, PyTorch, etc.).
• Strong knowledge of SQL-based and NoSQL databases (MySQL, PostgreSQL, Oracle, MongoDB).
• Experience with statistical tools and platforms like WEKA, KNIME, Power BI, etc.
• Working experience with Big Data technologies HDFS, Spark, Hive, Sqoop, MapReduce.
• Good understanding of cloud platforms (AWS, Azure, or GCP) – any hands-on experience is a plus.
• Excellent analytical, problem-solving, and communication skills.
• Domain experience in Automotive, Manufacturing, E-commerce, Aviation, or Digital Platforms is highly desirable.
• Ability to work both independently and within a team setting with a proactive mindset.

Preferred Qualifications:

• Education: A bachelor's degree in computer science, computer engineering, information technology, or a related field is typically the minimum requirement. Preferred a master's degree in data science, or a related field for advanced roles.

Experience: Data Scientist requires 5+ years of experience in related fields such as database administration, data engineering, programming