Job Location: Bangalore
Deep Learning Engineer
What you’ll be doing?
In this role, you’ll:
- Work on end-to-end data science lifecycle: from building proof-of concept models to production-ready models & work with engineers to deploy them to production
- Execute and take ownership of deep learning projects end-to-end. Good exposure to various deep learning algorithms and frameworks
- Should be able to effortlessly switch between roles of an Individual Contributor, team member, and data science manager as demanded by each project
- Figure out gaps in existing products and adding intelligence to improve it
- Designing the frameworks in data sciences (R, Python, Azure ML, Amazon ML, Google ML, Spark etc) to be used for relevant projects
- Keep updated on latest research in AI and deep learning and find ways in which it can be used to solve business problems
- Must be able to read research papers (eg: some novel architectures, training techniques, etc.) and be able to implement it fully to solve our specific problems
. What we seek in you:
- 5 years of strong experience in machine learning and 3 years of experience in production-level deep learning projects is a must
- Expert user of Python
- Hands-on experience in handling unstructured (image, video, audio) and build solutions using Deep Learning / Machine Learning
- Experience in implementing object detection, GAN’s. Knowledge of reinforcement learning is a plus.
- Good grasp and detailed knowledge of any one deep learning library (PyTorch, Tensorflow, Caffe etc.) is a must
- Experience with Data Visualization tools like Tableau, Microsoft Power BI and SiSense
- Exposure to working on AI/Data Science/Analytics platforms like Microsoft AI, Amazon AI, IBM WATSON, H20, Knime
- Strong business acumen to understand business objectives & dynamics and possess excellent written and verbal communication skills for coordinating across teams
- Experience in analyzing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale.
- Experience in machine learning, supervised and unsupervised: Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Neural Networks, Deep Learning Algorithms.
- Strong problem-solving skills.
Technical skills:
- Good grasp and detailed knowledge of any one deep learning library (PyTorch, Tensorflow, Caffe etc.) is a must
- Experience with Data Visualization tools like Tableau, Microsoft Power BI and SiSense
- Exposure to working on AI/Data Science/Analytics platforms like Microsoft AI, Amazon AI, IBM WATSON, H20, Knime
Life at Next:
Our purpose is to find ways to help our customers transform their possibilities into a reality. To help our customers build their future and achieve ambitious goals, we believe in a culture that embodies speed, curiosity, adaptability, continuous learning and failing forward. We have a flat and dynamic organizational structure with hands-on approach to leadership that drives outcome and growth.
Perks of working with us:
- Objectives are set to help you align and contribute to the mission
- Ample opportunities for interacting with customers, product managers and the leadership
- You will self-asses your progress while managers will guide you through continuous feedforward
- Leverage and build strong connections across communities of interests
- Pick your Mentor to help you navigate the present and drive your future
- Continuous learning and upskilling through Nexversity
- Flexibility to move across functions, skills and technologies
- Hybrid work mode to drive balance
- Family health insurance to keep your spouse, children and parent’s safe
- Accelerated career paths to realize your aspirations
Who we are?
TVS Next is part of the TVS Group, a globally diversified conglomerate with presence in over 130 countries. TVS Next drives growth for companies that profoundly impact the future. We reimagine, design and develop software to accelerate transformational outcomes for clients using our connected brilliance of engineering, intelligence and experience.
Join our passionate team and reimagine the future with us!
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