BayOne Solutions | Machine Learning Engineer | delhi
5 days ago
As an early member of the AI team, you will play a key role in developing the core software and also maintaining & upholding the culture of brilliance in our tightly-knit organization.
You will:
Participate in the design, development and deployment of AI systems that are on par with the state-of-the-art available in the market today
Work on cutting edge data science problems and expose yourself to the world of LLMs & NLP.
Indulge in the full product design, development and deployment cycle by working closely with the business, product and engineering teams
Be at the forefront of cutting-edge technologies and get to learn best practices from some of the best minds in the industry
This is an exceptional opportunity to bring an entire industry to the forefront of the digital age, and we are excited to work together with like-minded and ambitious individuals like you to realize this potential. It is preferred if the applicant(s) are located in Bengaluru and can report regularly to the office.
WHO YOU ARE
You are passionate about working in a fast paced, dynamic, friendly team and are looking for a challenging and rewarding opportunity to build a top-tier product. You agree with the following:
You have a minimum and relevant work experience of 3+ years in this field
You have an entrepreneurial spirit, and are excited by the opportunity to shape the development of a young business
You are passionate about developing state-of-the-art AI, NLP & LLMs.
You are well versed with deployments on different platforms such as AWS & GCP and don’t fear getting your hands dirty.
You are eager to keep yourself up-to-date with the latest developments, tools and frameworks in AI
You are detail-oriented and meticulous, but also understand the importance of rapid iteration in an agile development environment
You are knowledgeable about how digitization & automation has impacted other industries and are excited to find new applications for technology in construction
You love to learn and are especially good at picking up new concepts quickly
You are self-driven and take pride in your work
You are willing to occasionally make yourself available outside regular IST working hours to accommodate collaboration with a globally distributed team
WHAT YOU WILL DO
Design and develop Computer Vision, NLP and Recommendation Systems for our app
Develop, train and deploy deep learning and machine learning models
Research and implement novel deep learning architectures
Integrate in the cycle of product design, development, integration and testing for our apps
Own and develop product features from concept to implementation
Develop products which will be cutting edge & highly scalable to deal with huge data volumes and extensible to onboard new clients
Work closely with product managers, UX designers and end-users for integrating software and AI components into a fully functional system
Design complete end-to-end data and ML pipelines
Uphold our culture of engineering excellence
Collaborate with the leadership team in research and development efforts
WHAT DOES YOUR ARSENAL LOOK LIKE
Required
Bachelor’s or Master’s degree in Science or Engineering field and excellent programming, critical thinking and analytical skills
Strong conceptual understanding of machine learning and deep learning. Deep learning expertise in Computer Vision or Natural Language Processing
Experience with implementing ML projects in Python and working knowledge of Python libraries like numpy, sklearn, matplotlib, pandas, etc
Experience with implementing and training deep learning models in TensorFlow/Keras or Pytorch
Ability to write clean, efficient and bug-free code.
Ability to lead an initiative from concept to operation, navigating all stages and roadblocks on the way
Preferred but Optional
Experience working with applications hosted on AWS and Django web framework
Experience with databases and web application architecture
Experience working with OCR and PDF processing libraries
Good knowledge of algorithms and data structures
Completed academic or online specializations in Machine Learning and Deep Learning
Participation in competitive programming, Kaggle competitions, contribution to open source projects, etc
Experience working with geographically distributed teams across multiple time-zones
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