Senior Data Scientist

Job Overview:

We are looking for Data Science-AI/ML Professionals to join our team of researchers, data scientists, and developers. You will work on cutting-edge Al solutions across industries such as commerce, agriculture, insurance, financial markets, and procurement. Your role involves developing and optimizing machine learning and generative Al models to solve real-world challenges.

Key Responsibilities:

Develop and optimize and lead ML, NLP, Deep Learning, and Generative Al model/projects.

Research and implement state-of-the-art algorithms for supervised and unsupervised learning.

Work with large-scale datasets in distributed environments.

Understand business processes to select and apply the best ML approaches.

Ensure scalability and performance of ML solutions.

Collaborate with cross-functional teams, including product owners, designers, and developers.

Solve complex data integration and deployment challenges.

Communicate results effectively using data visualization.

Work with global teams across different time zones.

Required Skills & Experience:

Strong experience in Machine Learning, Deep Learning, NLP, and Generative Al.

Hands-on expertise in frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. Experience with LLMs (Large Language Models), model fine-tuning, and prompt engineering. Proficiency in Python, R, or Scala for ML development.

Knowledge of cloud-based ML platforms (AWS, Azure, GCP).

Experience with big data processing (Spark, Hadoop, or Dask).

Ability to scale ML models from prototypes to production.

Strong analytical and problem-solving skills.