Senior Data Scientist

Senior Data Scientist Engineer

If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you're seeking an environment for continuous learning and improvement, we'd love to hear from you!

Virtana is a remote first work environment so you'll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies.

Role Responsibilities:

• Research and test machine learning approaches for analyzing large-scale distributed computing applications.
• Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy, efficacy, and robustness
• Work closely with other functional teams to integrate implemented systems into the SaaS platform
• Suggest innovative and creative concepts and ideas that would improve the overall platform.

Job Location

Qualifications:

The ideal candidate must have the following qualifications:

• 6 + years experience in practical implementation and deployment of large customer-facing ML based systems.
• MS or M Tech (preferred) in applied mathematics/statistics; CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills
• In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms
• Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization
• Experience in working on modeling graph structures related to spatiotemporal systems
• Programming skills in Python is a must
• Experience in understanding and usage of LLM models and Prompt engineering is preferred.
• Experience in developing and deploying on cloud (AWS or Google or Azure)
• Good verbal and written communication skills
• Familiarity with we'll-known ML frameworks such as Pandas, Keras, TensorFlow