Data Science
Machine Learning (ML)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.
- Building complex predictive models using ML and DL techniques with production quality code and jointly own complex data science workflows with the Data Engineering team.
- Familiarity with modern data analytics architecture and data engineering technologies (SQL and No-SQL databases).
- Knowledge of REST APIs and Web Services
- Experience with Python, R, sh/bash
Required Skills (Non-Technical):
- Fluent in English Communication (Spoken and verbal)
- Should be a team player
- Should have a learning aptitude
- Detail-oriented, analytically.
- Extremely organized with strong time-management skills
- Problem Solving & Critical Thinking
Shubham Vishwakarma
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About Codvoai
About
At Codvo, we accelerate Cloud, AI, and Transformation roadmaps while offering most satisfying mix of work-life balance, quality of living, and cutting edge work to our employees.
We deliver value through our unique "Virtual Silicon Valley" model where we bring seasoned experts and global talent together as a Product Oriented Deliver (POD) unit to successfully deliver on your next roadmap priorities.
Our “Virtual Silicon Valley” PODs deliver better success and speed because they are self-managed, have right expertise mix, and most importantly are aligned to work in your time zone. The goal is to balance speed, expertise mix, and cost while ensuring the success of core product development, design, and transformation activities.
We are proud to have our customers ready to vouch for us and share their success stories. Our teams of scientists, engineers, architects, and designers have helped AI-driven companies, fast-growing Fintechs, Wealth Management & Healthcare startups, Energy companies, and US Defense contractors accelerate their product and transformation roadmaps.
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