At Codvo.ai, we specialize in leveraging artificial intelligence, cloud, and data to solve complex business problems and drive innovation. Our passion for innovation drives us to deliver solutions that not only meet but exceed your unique business needs, fostering smarter, more productive teams. Here’s why our approach has earned widespread acclaim from our clients: 67 Customer NPS: Our Net Promoter Score is a testament to the high level of satisfaction and loyalty among our clients. It underscores our ability to deliver quality and value through our specialized services, making us a preferred partner for businesses looking to leverage AI and data for competitive advantage. 78 Employee NPS: The satisfaction and engagement of our team directly influence the quality of service we provide. Our high employee NPS signifies a motivated, dedicated team that's committed to excellence. This positive work culture ensures that we can deliver exceptional AI-first engineering and enterprise data application services to you. Our approach goes beyond traditional software development; we're dedicated to partnering with you to harness the power of AI and data. The combination of our high trial and engagement success rates, extensive experience, and positive feedback from both clients and employees positions us as more than just a service provider. We're your trusted ally in navigating the complexities of today's digital landscape, committed to transforming your vision into a reality with cutting-edge AI and data solutions.

Job description

Senior Data Scientist :

Company Overview:

At Codvo, software and people transformations go hand-in-hand. We are a global empathyled technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results.

Required Skills (Technical):-

Advanced knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like TensorFlow, Theano, Kera’s, Pytorch.
Proficiency with modern statistical modelling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies.
Build complex predictive models using ML and DL techniques with production quality code and jointly own complex data science workflows with the Data Engineering team.
Familiar with modern data analytics architecture and data engineering technologies (SQL and No-SQL databases).
Knowledge of REST APIs and Web Services 6. Experience with Python, R, sh/bash

Required Skills (Non-Technical):-