BlueOptima’s vision is to become the global reference for the optimisation of the performance of Software Engineers across all industries. We provide industry-leading objective metrics in software development. We enable large organisations to deliver better software, faster and at lower cost, with technology that pushes the limits of what has been done before.
We are a global company which has consistently doubled in headcount and revenue YoY, with no external investment. A total number of 100+ employees (and increasing every day) from 22 different nationalities and with over 25 languages spoken.
We promote an open minded environment and encourage our employees to create their own success story in this high performance environment.
BlueOptima has a truly unique collection of vast datasets relating to the changes that software developers make in source code when working in an enterprise software development environment.
As a Machine Learning Data Engineer you will take problems and ideas from our clients and customer support teams, analyse what would be involved, whether the solution will solve the underlying problem, plan and develop solutions. As with many problems within the Data Engineering space, defining effective pipelines to gather, curate and manage the data is as significant as selecting the best approach using ML techniques.
You will take responsibility for the end to end process, this means that you will own the initial exploration of the data, the development of a solution, design the requirements for ongoing monitoring of the solution once it is released and tackle any issues that arise from the solution. You will use tools ranging from advanced Machine Learning algorithms to Statistical approaches and will be able to select the best tool for the job.



The Data Engineering team at BlueOptima accelerates value delivery for internal and external stakeholders by providing production ready solutions & actionable insights. We cater to all products within BlueOptima, supercharging their success through data driven innovation.
You will be working hand-to-hand with a diverse team with a variety of skill sets across the fields of Data Analytics, Machine learning & Artificial intelligence. Majority of the team is currently based out of our Bangalore office.
Solve business problems using advanced Machine Learning and statistical techniques
Identify opportunities to add value and solve problems using Machine Learning across the business
coordinating with different teams including engineering and client-side teams to take a solution from exploratory analysis to deployed in production.
Resolve issues and find improvements to existing Machine Learning solutions and measure their impacts
Takes data-driven approaches to validate assumptions/issues and track progress on changes being implemented
Minimum Bachelor's degree in Computer Science/Statistics/Mathematics or equivalent.
Minimum of 3+ years experience in developing solutions with at least 2+ years using NLP with Deep Learning preferred.
An in-depth understanding of a wide range of Machine Learning techniques, and an understanding of which approach is best suited for the problem at hand (structured and ill-structured)
Strong statistical analytics skills demonstrated through data engineering or similar experience.




Understanding of Python programming when building both applications and scripting simple solutions.
A drive to not only identify a solution to a technical problem but to see it all the way through to inclusion in a product
Good to have (Technical requirements/ Previous experience)
Experience with fine-tuning neural nets and explaining how the different layers work along with designing loss functions, custom metrics, etc.
Experience working with managing software vulnerabilities in a coding environment.
An understanding of defensive coding practices.
Experience with automating tasks to maximize time for more important problems.
Experience with PostgreSQL or similar Relational Database.
Experience with Data visualization experience (via Grafana, Superset, Tableau, or similar) is preferable.
Experience in project management and designing processes to deliver successful outcomes.
Experience with deploying via containers using docker, containerd, Kubernetes

Global team with a creative, innovative, and welcoming mindset
Rapid career growth and opportunity to be an outstanding and visible contributor to the company's success
Freedom to create your own success story in a high-performance environment
Training programs and Personal Development Plans for each employee
33 days of holidays (this includes public and religious holidays)
Gratuity payments
Private Medical Insurance provided by the company (Employee + Spouse + 2 Children + 2 Parents)
12 Weeks Paid Paternity Leave, 6 months Maternity leave
Work from Home Equipment allowance
Flexible Work from Home policy - 2 days home p/w
Flexible Work from Long Distance - 4 weeks a year
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📌 Data Engineer, Machine Learning and Engineering (Bengaluru)
🏢 BlueOptima
📍 Bengaluru