Data Science - Architect

AI-driven platform designed for education,e-commerce sectors

Data Science - Architect

Anzy

Company

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Data Science - Architect

at AI-driven platform designed for education,e-commerce sectors

Agency job

via Anzy

8 - 11 yrs

₹10L - ₹22L / yr

Remote, Bengaluru (Bangalore)

Skills

Data Science

Machine Learning (ML)

Python

Image Processing

The Job
The Architect, Machine Learning and Artificial Intelligence including Computer Vision will grow and lead a team of talented Machine Learning (ML), Computer Vision (CV) and Artificial Intelligence (AI) researchers and engineers to develop innovative machine learning algorithms, scalable ML system, and AI applications for Racetrack. This role will be focused on developing and deploying personalization and recommender system, search, experimentation, audience, and content AI solutions to drive user experience and growth.

The Daily

Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modelling approaches to support product, engineering, content, and marketing initiatives.
Build and lead a world-class team of ML and AI scientists and engineers.
Be a hands-on leader to mentor the team in latest machine learning and deep learning approaches, and to introduce new technologies and processes. Single headedly manage the MVP and PoCs
Work with ML engineers to design solution architecture and develop scalable machine learning system to accelerate learning cycle.
Identify data science opportunities that deliver business value.
Develop ML/AI/CV roadmap and educate both internal and external stakeholders at all levels to drive implementation and measurement.
Hands on experience in Image processing for auto industry
BFSI domain knowledge is a plus
Provide thought leadership to enable ML/AI applications.
Manage products priorities and ensure timely delivery.
Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML/AI products.
Prepare and present ML modelling results and analytical insights that help drive the business to senior leadership.

The Essentials

8 + years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts
4 + years of managing a team of data scientists, ML and AI researchers and engineers
Strong machine learning, deep learning, and statistical modelling expertise, such as causal inference modelling, ensembles, neural networks, reinforcement learning, NLP, and computer vision
Advanced knowledge of SQL and experience with big data platform (AWS, Snowflake, Spark, Google Cloud etc.)
Proficiency in machine learning and deep learning languages and platforms (Python, R, TensorFlow, Keras, PyTorch, MXNet etc.)
Experience in deploying machine learning algorithms and advanced modelling solutions
Experience in developing advanced analytics and ML infrastructure and system
Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment
Strong communication skills and the ability to explain complex analysis and algorithms to non-technical audience
Works effectively cross functional teams to build trusted partnership
Working experience in digital media and entertainment industry preferred
Experience with Agile methodologies preferred

The Daily

Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modelling approaches to support product, engineering, content, and marketing initiatives.
Build and lead a world-class team of ML and AI scientists and engineers.
Be a hands-on leader to mentor the team in latest machine learning and deep learning approaches, and to introduce new technologies and processes. Single headedly manage the MVP and PoCs
Work with ML engineers to design solution architecture and develop scalable machine learning system to accelerate learning cycle.
Identify data science opportunities that deliver business value.
Develop ML/AI/CV roadmap and educate both internal and external stakeholders at all levels to drive implementation and measurement.
Hands on experience in Image processing for auto industry
BFSI domain knowledge is a plus
Provide thought leadership to enable ML/AI applications.
Manage products priorities and ensure timely delivery.
Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML/AI products.
Prepare and present ML modelling results and analytical insights that help drive the business to senior leadership.

The Essentials

8 + years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts
4 + years of managing a team of data scientists, ML and AI researchers and engineers
Strong machine learning, deep learning, and statistical modelling expertise, such as causal inference modelling, ensembles, neural networks, reinforcement learning, NLP, and computer vision
Advanced knowledge of SQL and experience with big data platform (AWS, Snowflake, Spark, Google Cloud etc.)
Proficiency in machine learning and deep learning languages and platforms (Python, R, TensorFlow, Keras, PyTorch, MXNet etc.)
Experience in deploying machine learning algorithms and advanced modelling solutions
Experience in developing advanced analytics and ML infrastructure and system
Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment
Strong communication skills and the ability to explain complex analysis and algorithms to non-technical audience
Works effectively cross functional teams to build trusted partnership
Working experience in digital media and entertainment industry preferred
Experience with Agile methodologies preferred

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Shubham Vishwakarma

Full Stack Developer - Averlon

I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.

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