Machine Learning Data Engineer

BlueOptima; Bengaluru; On-site; INR 1,200,000 - 2,200,000; Full time

Benefits offered by this job

Private Medical Insurance

Work From Home Equipment Allowance

Flexible Work From Home Policy

Paid Holidays

Learning Opportunities

Job summary

BlueOptima in Bengaluru is seeking a Machine Learning Data Engineer to own end-to-end data solutions, from data exploration to production deployment. You will apply NLP with deep learning, prefer PyTorch, and collaborate across engineering and client teams to deliver impactful ML-driven insights.

The role emphasizes pushing the boundaries of data engineering, building scalable pipelines, and continuously improving models while communicating clearly with non-technical stakeholders.

Qualifications

• Minimum Bachelor's degree in Computer Science/Statistics/Mathematics or equivalent.
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Responsibilities

• Solve business problems using advanced ML and statistical techniques.
• Identify opportunities to add value and solve problems using ML across the business.
• Own end-to-end data solutions from exploratory analysis to production deployment.
• Collaborate with engineering and client teams to deliver solutions.
• Define requirements, timelines and estimates with quantified uncertainty.
• Validate and improve ML solutions and measure their impact.

Skills

NLP

Python

ML/DL

Statistical analytics

Data Visualization

Docker/Kubernetes

PostgreSQL

Communication

Project management

Education

Bachelor's degree in Computer Science/Statistics/Mathematics

Tools

PyTorch

TensorFlow

Keras

Docker

Kubernetes

Grafana

Tableau

PostgreSQL

Job description

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. We currently are located in 4 countries: London (our HQ), Mexico, India and the US. 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.

Job Description

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. Within time you should be able to provide your own pipeline of ideas or problems that we can tackle. As with many problems within the Data Engineering space, defining effective pipelines to gather, curate and manage the data is as important 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. Solution ownership is a fundamental part of the role and it is expected that you would not only take this for the solutions you develop but encourage others to own and take responsibility for the solutions they are involved in.

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. This means both being able to suggest the cutting edge approaches to problems and just as importantly identifying when a simpler approach will provide a solution which is as effective. Finally, you will support and identify improvements to our existing algorithms and approaches.

Your team:

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.

Responsibilities and tasks:

Solve business problems using advanced Machine Learning and statistical techniques

Identify opportunities to add value and solve problems using Machine Learning across the business

Identify bottlenecks in skills, technology, and processes restricting the team's ability to deliver excellence

Exploring vast datasets, both structured and unstructured

Owning the final solution; coordinating with different teams including engineering and client-side teams to take a solution from exploratory analysis to deployed in production.

Facilitate taking solutions into production, through active participation with the internal development teams

Spec the requirements to solve a problem and identify the critical path and timelines and be able to give clear estimates quantifying any uncertainty

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

Qualifications

What You Need to Succeed at BlueOptima:

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.

At least worked in any of these tools: PyTorch (Preferred)/Tensorflow/Keras

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

Strong written and verbal communication skills

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.

Understanding of word embeddings like word2vec, glove, Bert, Encoder-Decoder architecture, hugging face library

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.

Be comfortable explaining very technical concepts to non-expert people.

Experience in project management and designing processes to deliver successful outcomes.

Experience with deploying via containers using docker, containerd, Kubernetes

Additional Information

Why join our team?
Culture and Growth:

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)

Contributions to your Provident Fund which can be matched by the company above the statutory minimum as agreed

Gratuity payments

Private Medical Insurance provided by the company (Employee + Spouse + 2 Children + 2 Parents)

12 Weeks Paid Paternity Leave, 6 months Maternity leave

Support with childcare costs (50%)

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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