Data Scientist

Job Description

Position Overview: We are seeking a Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. 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. Job Location- Pune/ Chennai/ Remote Role Responsibilities: Research and test machine learning approaches for analyzing large-scale distributed computing applications. Implement different models AI and ML algorithms for prototype and production systems. Test and refine the models and algorithms with live customer data to improve accuracy and efficacy. Work 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 Qualifications: The ideal candidate must have the following qualifications: 3+ years experience in practical implementation and deployment of ML based systems preferred. BS/B Tech or M Tech/ MS (preferred) in Applied Mathematics or Statistics, or CS/Engineering with strong mathematical/statistical background Strong quantitative and analytical skills, especially statistical and ML techniques, including familiarity with different supervised and unsupervised learning 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 Experience in developing and deploying on cloud (AWS or Google or Azure) Experience in understanding and usage of LLM models and Prompt engineering is preferred. Good verbal and written communication skills Familiarity with well-known ML frameworks such as Pandas, Keras and TensorFlow