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Sr. Machine Learning Engineer
Job Title:
Sr. Machine Learning Engineer
Job Description:
In this role you will:
• Be working on all aspects of a production machine learning system. You will be acquiring data, training and building models, deploying models, building API services for exposing these models, maintaining them in production, and more.
• Work on performance tuning of models
• From time to time work on support and debugging of these production systems
• Work on researching the latest technology in the areas of our interest and applying it to build newer products and enhancement of the existing platform.
• Building workflows for training and production systems
• Contribute to documentation
• While the emphasis will be on researching, building and deploying models into production, you will be expected to contribute to aspects mentioned above.
• Be working on all aspects of a production machine learning system. You will be acquiring data, training and building models, deploying models, building API services for exposing these models, maintaining them in production, and more.
• Work on performance tuning of models
• From time to time work on support and debugging of these production systems
• Work on researching the latest technology in the areas of our interest and applying it to build newer products and enhancement of the existing platform.
• Building workflows for training and production systems
• Contribute to documentation
• While the emphasis will be on researching, building and deploying models into production, you will be expected to contribute to aspects mentioned above.
Experience Range:
4 - 8 years
Educational Qualifications:
Any graduation,
Job Responsibilities:
In this role you will:
• Be working on all aspects of a production machine learning system. You will be acquiring data, training and building models, deploying models, building API services for exposing these models, maintaining them in production, and more.
• Work on performance tuning of models
• From time to time work on support and debugging of these production systems
• Work on researching the latest technology in the areas of our interest and applying it to build newer products and enhancement of the existing platform.
• Building workflows for training and production systems
• Contribute to documentation
While the emphasis will be on researching, building and deploying models into production, you will be expected to contribute to aspects mentioned above.
• Be working on all aspects of a production machine learning system. You will be acquiring data, training and building models, deploying models, building API services for exposing these models, maintaining them in production, and more.
• Work on performance tuning of models
• From time to time work on support and debugging of these production systems
• Work on researching the latest technology in the areas of our interest and applying it to build newer products and enhancement of the existing platform.
• Building workflows for training and production systems
• Contribute to documentation
While the emphasis will be on researching, building and deploying models into production, you will be expected to contribute to aspects mentioned above.
Skills Required:
Python, Computer Vision, Team Leadership,
Candidate Attributes:
About you
● You are a mid-career machine learning engineer (or data scientist). Our ideal candidate is someone with 5-8
years of experience in data science.
Must Haves
● You should be experienced in framing and solving problems with the application of machine learning
or deep learning models.
● You have experienced that and understand that modeling is only a small part of building and delivering AI
solutions and know what it takes to keep a high-performance system up and running.
● Our usage of libraries and tooling is oriented around Python, Tensorflow, and Pytorch, so we would want
you to have a good understanding of and experience in applying these.
● We build our own services, hence we would expect you to have some knowledge of writing APIs.
● Enthusiasm and drive to learn and assimilate the state of art research. A lot of what we are building will
require innovative approaches using newly researched models and applications
● Knowledge of and experience in Computer Vision. While a large part of our work revolves around computer
vision, we believe this is something you can learn on the job.
● Our stack also includes languages like Ruby, Go, and Elixir. We would love it if you know any of these or
take an interest in functional programming.
● Knowledge of and experience in ML Ops and tooling would be a welcome addition. We use Docker and
Kubernetes for deploying our services.
● Experience in using any other platform, frameworks, tools.
Other things to keep in mind
● If you are interested, you also have the opportunity to mentor interns and junior team members from time
to time. If you have not done this before, we will help you through coaching.
● This is an opportunity to positively impact billions of people, and we hope you like it as much as we do.
● You are a mid-career machine learning engineer (or data scientist). Our ideal candidate is someone with 5-8
years of experience in data science.
Must Haves
● You should be experienced in framing and solving problems with the application of machine learning
or deep learning models.
● You have experienced that and understand that modeling is only a small part of building and delivering AI
solutions and know what it takes to keep a high-performance system up and running.
● Our usage of libraries and tooling is oriented around Python, Tensorflow, and Pytorch, so we would want
you to have a good understanding of and experience in applying these.
● We build our own services, hence we would expect you to have some knowledge of writing APIs.
● Enthusiasm and drive to learn and assimilate the state of art research. A lot of what we are building will
require innovative approaches using newly researched models and applications
● Knowledge of and experience in Computer Vision. While a large part of our work revolves around computer
vision, we believe this is something you can learn on the job.
● Our stack also includes languages like Ruby, Go, and Elixir. We would love it if you know any of these or
take an interest in functional programming.
● Knowledge of and experience in ML Ops and tooling would be a welcome addition. We use Docker and
Kubernetes for deploying our services.
● Experience in using any other platform, frameworks, tools.
Other things to keep in mind
● If you are interested, you also have the opportunity to mentor interns and junior team members from time
to time. If you have not done this before, we will help you through coaching.
● This is an opportunity to positively impact billions of people, and we hope you like it as much as we do.
Job Code: KL-7AXUKAJJ
About Us
Eliminate Fraud. Establish Trust.
IDfy is an Integrated Identity Platform offering products and solutions for KYC, KYB, Background Verifications, Risk Mitigation, Digital Onboarding and Digital Privacy.
We establish trust while delivering a frictionless experience for you, your employees, customers and partners.
Only IDfy combines enterprise-grade technology with business understanding and has the widest breadth of offerings in the industry.
With more than 12+ years of experience and 2 million verifications per day, we are pioneers in this industry.
Our clients include HDFC Bank, Induslnd Bank, Zomato, Amazon, PhonePe, Paytm, HUL and many others.
We have successfully raised $27M from Elev8 Venture Partners, KB Investment, and Tenacity Ventures!
IDfy is an Integrated Identity Platform offering products and solutions for KYC, KYB, Background Verifications, Risk Mitigation, Digital Onboarding and Digital Privacy.
We establish trust while delivering a frictionless experience for you, your employees, customers and partners.
Only IDfy combines enterprise-grade technology with business understanding and has the widest breadth of offerings in the industry.
With more than 12+ years of experience and 2 million verifications per day, we are pioneers in this industry.
Our clients include HDFC Bank, Induslnd Bank, Zomato, Amazon, PhonePe, Paytm, HUL and many others.
We have successfully raised $27M from Elev8 Venture Partners, KB Investment, and Tenacity Ventures!
Why Us?
At IDfy, you will work on the entire end-to-end solution rather than a small cog of a giant wheel.
Thanks to our problem-centric approach, one in which we find the right technology to solve a problem rather than the other way around, you will always be working on the latest technologies.
You should be sold by now, but if you're not, here's some more. You'll have the chance to brainstorm in bean bags, strategise over foosball, and collaborate with a crew that's as quirky as it is brilliant.
Thanks to our problem-centric approach, one in which we find the right technology to solve a problem rather than the other way around, you will always be working on the latest technologies.
You should be sold by now, but if you're not, here's some more. You'll have the chance to brainstorm in bean bags, strategise over foosball, and collaborate with a crew that's as quirky as it is brilliant.
