Senior Data Scientist

We are seeking a passionate and experienced Data Scientist / Machine Learning Engineer with a strong foundation in Machine Learning, Deep Learning, and Generative AI (GenAI). The ideal candidate will have hands-on experience with modern AI frameworks and libraries, a proven ability to design, develop, and deploy scalable ML solutions, and expertise in working with Large Language Models (LLMs).

You will leverage your skills to drive impactful solutions, staying at the forefront of advancements in ML, DL, and GenAI. You will work on cutting-edge projects, incorporating the latest technologies into production-ready systems. If you are excited about advancing your career in a dynamic, innovation-driven environment, we invite you to join us!

Key Responsibilities:

• Develop, train, and fine-tune machine learning and deep learning models for diverse business use cases.

• Work with Generative AI and LLMs, including customizing, fine-tuning, and deploying models for real-world applications.

• Stay updated with the latest advancements in Machine Learning, Deep Learning, and Generative AI, and incorporate them into projects.

Required Skills:

• Machine Learning Frameworks: Proficiency in Scikit-learn, TensorFlow or PyTorch.

• Deep Learning: Experience building and training deep learning models, including CNNs, RNNs, Transformers, and other architectures.

• Generative AI: Hands-on experience with Generative AI models, including fine-tuning and deploying LLMs.

• Programming: Strong skills in Python; familiarity with libraries like NumPy, pandas, and Matplotlib.

• Data Handling: Experience working with structured and unstructured data, including text, images, and time-series.

Good to have Skills:

• Understanding of MLOps practices, including CI/CD pipelines for ML models.

• Experience with GPU-accelerated computing.

• Experience with distributed training frameworks (e.g., Horovod, PyTorch Lightning).

• Cloud Platforms: Familiarity with cloud services like AWS

Qualifications:

• Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field.

• Professional experience in Machine Learning and Deep Learning.

• Proven track record of deploying ML/DL models in production environments