AI Engineering Manager

Key Skills

AI technology, Computer Vision (CV), Data Classification, DataOps, Deep Learning, MLOps tools, Object detection, OpenCV, Python Programming, PyTorch, Scikit-learn, TensorFlow, Text segmentation, Video coding and processing

Job Description

We are looking for a young colleague with an entrepreneurial mindset (preferably experience with a startup, about 6 to 10 years of machine learning experience, having built modular & scalable AI applications in Computer Vision, 2 to 4 years of experience in Deep Learning, working with or led a team of 4 to 6 engineers) to help us build scalable AI platform with Computer Vision & Deep Learning models.

Eligibility:

• Experience with a product based company working on Computer Vision + Deep Learning is preferred.
• The candidate must have a proven history working with legacy as well as advanced computer vision algorithms. Having an experience to manage people is a big plus.
• The candidate must have an eye to build engineering platforms with plug & play modules that just looking to work on research (or publishing papers)

Responsibilities:

• Managing a team of 4 to 6 AI engineers toward Computer Vision platform development for Retail (Deep Learning, DataOps, MLOps)
• Interfacing with the data labeling team, product-engineering manager, product managers, CTO to design, engineer, contribute to the implementation of a modular Deep Learning based Image Recognition platform
• Building and maintaining customer-focused and scalable AI pipelines to process large-scale images and videos as part of real-time and batch processing.
• Building, communicating and executing robust development, documentation, spring, and engineering processes

Skills Required:

• Hands-on experience with Deep Learning, Computer Vision, Python, Pytorch, TensorFlow, Python API development
• Extremely good problem solver to design computer-vision pipelines consisting of segmentation, detection, classification to solve image or video recognition problem
• Ability to coordinate across different products, engineering tasks, and implementing the modules along with scalability, security, extensibility in mind.
• Well versed in MLOps and DataOps processes such as data labeling, model deployment, data-model feedback loop, data drift
• Should possess strong programming skills to write algorithms and logic in tools such as Python, OpenCV, Scikit learn

What else we can offer:

• Opportunity to build state-of-the-art deep-tech products out of India for the global audience
• Work on a problem that will have net-positive impact on thousands of businesses and millions of users
• Work with well experienced computer scientists
• Lively and highly collaborative culture and environment
• Industry-grade compensation and ESOPs

What we specifically expect:

• Understanding of long-term rewards vs short-term risks
• “People-first” mindset that can fit with our open, respectful, and humble culture. Values such as mutual respect and cherishing individuality are something we hold in high regard.
• Strong eye to attention to details, execution, and finishing of deliveries. “Awesome Deliveries” is one of our 10 values.

Joining details:

• This position is based out of Bangalore, India.
• Amid COVID times and lockdowns, it is okay to join remotely and work remotely.
• However, we prefer on premise work as remote joining has not worked with us. We have observed remote-call fatigue, disconnect with the team, work-overload, information gaps while working remotely.
• We work in a fast-paced environment with strong cross-team collaboration. It helps to be in office with appropriate SOPs to stay on top of the product and engineering roadmap. This is of course only when the lockdown is fully lifted and only when SOPs are in place in office.
• Even then, we are discouraging work from office on all 5 days with only a couple of days of in-office work for the initial few months.
• For the first 3 months on your joining, you may have to work as an Independent Contributor with a lot of hands-on work so that you collaborate with different team members, get to know people, processes, and systems in and out.

We have a great work environment with an exceptional bunch of engineers and programmers. We are an early-stage startup, and it implies putting your heart out to connect with customers and team members, solve hard & challenging problems, and build & maintain scalable systems. We are also quite conscious to build a highly collaborative & rich culture at Infilect. From 50 today, we expect to be 200 team member strong team in next 2 years, serving global customers. If this interests you, come and join us on the rocket-ship.

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