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Senior Machine Learning Data Engineer

Company Description

BlueOptima is on a mission to maximise the economic and social value that software engineering organisations are capable of delivering. Our vision is to become the global reference for the optimisation of the performance of Software Engineering.

Our technology is used by some of the world’s largest organisations, including nine of the world’s top twelve Universal Banks, and a number of large corporates.

We are a global organisation with headquarters in London and additional offices in India, Mexico, and the US. We are made up of 100+ individuals from more than 20 different countries. We promote an open minded environment and encourage our employees to create their own success story in this high-performance environment

Location: Bangalore, India
Department: Engineering

Job Description

Job Summary:

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 Senior Machine Learning Data Engineer, you will take problems and ideas from our clients and customer support teams, analyze what would be involved, whether the solution will solve the underlying problem, and plan and develop solutions with a small team. Ensuring the team is able to deliver the solutions you have planned in the required time. You should be able to provide your own ideas or problems that we are well-positioned to 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 managing the end-to-end process, this means that you will own and plan 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 support others to own and take responsibility for the solutions they are involved in. 

With support from other senior members of the wider team, you will take responsibility for supporting the work of a small group of Data Engineers, ensuring that they can deliver effective solutions on time. This will include supporting their progression and utilizing the tools that BlueOptima provides.

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 cutting-edge approaches to problems and just as importantly identifying when a simpler approach will provide an effective solution. 

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. The 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 
  • Led a small team of Machine Learning Data Engineers providing technical leadership to mid/junior-level team members
  • Coordinate with internal and external stakeholders to understand requirements and opportunities to add value
  • Identify opportunities to add value using Machine Learning across the business
  • Identify and work to resolve bottlenecks in skills, technology, and processes restricting the team's ability to deliver excellence
  • Exploring vast datasets, both structured and unstructured
  • Foster a culture of ownership. Ensuring others own 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 identify the critical path and timelines and be able to give clear and defensible estimates quantifying any uncertainty
  • Takes data-driven approaches to validate assumptions/issues and track progress on changes being implemented

What You Need to Succeed at BlueOptima: 

  • Minimum of 4+ years' experience in developing solutions with at least 3+ years using Machine learning Algorithms in industry.
  • Experience in leading and managing a team of ML/Data Engineers
  • 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.
  • Strong Python programming expertise in 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
  • Strong interpersonal and time management skills

Good to have (Technical requirements/ Previous experience)

  • Significant experience with NLP techniques.
  • Experience working with managing software vulnerabilities in a coding environment.
  • An understanding of defensive coding practises.
  • Experience with automating tasks to maximise time for more important problems.
  • Experience with PostgreSQL or similar Rational Database.
  • Experience with Data Visualisation experience (via Grafana, Superset, Tableau, or similar) is preferable.
  • Be comfortable explaining very technical concepts to non-expert people

Your career progression: 

At BlueOptima, we strive to strengthen your skills, widen your scope of work, and develop your career fast. For this role, you would have a choice in how you want to progress with us either become a more technical expert or taking on a larger team and a greater range of projects to manage. 

Qualifications

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

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.

Benefits: 

  • 32 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
  • Sponsored Learning Opportunities
  • Team Socials.

Stay connected with us on LinkedIn or keep an eye on our career page for future opportunities!

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CEO of BlueOptima
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Average salary estimate

$100000 / YEARLY (est.)
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$80000K
$120000K

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What You Should Know About Senior Machine Learning Data Engineer, BlueOptima

At BlueOptima, we are on a mission to empower software engineering organizations to maximize their economic and social impact. We're looking for a Senior Machine Learning Data Engineer to join our dynamic team in Bangalore. In this exciting role, you'll delve into our rich datasets and transform business challenges into innovative solutions. You'll take the lead in analyzing client needs and collaborate closely with our customer support teams to ensure we are solving the right problems. Your expertise in machine learning and data engineering will guide a small team as you plan, develop, and execute solutions on time. The essence of this position is ownership; you'll manage the entire lifecycle of the solutions you develop, from initial data exploration to ongoing monitoring post-release. You’ll work not only with cutting-edge machine learning algorithms but also statistical techniques, ensuring you can determine the best approach for each unique challenge. At BlueOptima, teamwork is paramount. You'll work alongside a talented group of diverse individuals skilled in data analytics, machine learning, and artificial intelligence. We encourage you to foster a culture of ownership and drive your colleagues towards success as you all together contribute to delivering exceptional data-driven solutions. With our focus on rapid career growth and personal development, this role opens doors to technical expertise or broader managerial responsibilities. Join us at BlueOptima, where your skills will truly matter and where your own success story can unfold!

Frequently Asked Questions (FAQs) for Senior Machine Learning Data Engineer Role at BlueOptima
What are the primary responsibilities of the Senior Machine Learning Data Engineer at BlueOptima?

The Senior Machine Learning Data Engineer at BlueOptima is responsible for solving complex business problems utilizing advanced machine learning techniques and statistical analysis. This includes analyzing client requirements, leading a team of ML engineers, and ensuring timely and effective delivery of solutions. The role also involves overseeing the entire data lifecycle from exploration to deployment and encouraging a culture of ownership within the team.

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What qualifications are required for the Senior Machine Learning Data Engineer position at BlueOptima?

To qualify for the Senior Machine Learning Data Engineer role at BlueOptima, candidates should possess a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A minimum of 4 years of experience in data engineering, with over 3 years specifically working with machine learning algorithms in an industrial setting, is required. Leadership experience with a focus on mentoring junior engineers is also crucial.

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How does the Senior Machine Learning Data Engineer contribute to team culture at BlueOptima?

The Senior Machine Learning Data Engineer at BlueOptima plays a crucial role in fostering a collaborative and empowering team culture. By promoting ownership of solutions and providing guidance to junior team members, this role helps build a supportive environment where all engineers can thrive and develop their skills, contributing to collective success.

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What tools and technologies will the Senior Machine Learning Data Engineer use at BlueOptima?

The Senior Machine Learning Data Engineer at BlueOptima will utilize a variety of tools ranging from advanced machine learning algorithms to statistical methods, with a strong emphasis on Python for programming. Familiarity with database technologies such as PostgreSQL and data visualization tools like Grafana or Tableau is also beneficial for effectively managing and presenting data insights.

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What opportunities for career progression exist for a Senior Machine Learning Data Engineer at BlueOptima?

At BlueOptima, the Senior Machine Learning Data Engineer has multiple pathways for career advancement. Individuals can choose to deepen their expertise in technical domains or take on larger team management responsibilities with a broader range of projects. Our commitment to personal development ensures that all team members can advance their careers at their own pace.

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Common Interview Questions for Senior Machine Learning Data Engineer
Can you discuss your experience with machine learning algorithms as a Senior Machine Learning Data Engineer?

Certainly! Highlight specific projects where you have employed various machine learning algorithms. Discuss your understanding of choosing the right algorithm for a given problem, showcasing your analytical skills and decision-making process.

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How do you approach ensuring data quality in your machine learning projects?

Emphasize the importance of thorough data validation and cleansing processes. Discuss specific tools or methods you use to maintain data integrity and how these practices impact the success of your solutions at BlueOptima.

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Describe a challenging problem you've faced and how you resolved it as a Senior Machine Learning Data Engineer.

Share a specific example where you encountered a significant challenge, detailing your thought process, the strategies employed, and the outcome. Focus on your problem-solving skills and resilience in overcoming technical hurdles.

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How do you mentor junior colleagues on your team?

Discuss your philosophy and methods for mentoring, emphasizing trust, open communication, and regular feedback. Share examples of how you've helped colleagues grow by delegating responsibilities and guiding them through technical challenges.

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What’s your experience with end-to-end machine learning model development?

Provide an overview of your experience taking projects from data gathering and preprocessing through to model deployment. Highlight your familiarity with the entire data pipeline and how you've handled post-deployment monitoring.

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Can you explain a statistical technique you've used in your projects?

Detail a statistical method relevant to machine learning that you have applied in your work. Explain how it was used to draw insights from data and its significance to the solution you developed.

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How do you prioritize tasks in fast-paced project environments?

Describe your organizational strategies for managing multiple tasks and deadlines. Discuss any tools or methods you use to ensure effective prioritization and timely project delivery.

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How do you communicate complex technical concepts to non-technical stakeholders?

Emphasize the importance of clarity and relatability in communication. Share techniques you use to simplify concepts and ensure understanding, such as using analogies or visual aids.

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What is your experience with team collaboration in a cross-functional environment?

Highlight your ability to collaborate with various teams, explaining how you bridge communication between technical and non-technical teams to ensure project success and clarify requirements effectively.

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How do you stay updated with the latest trends in machine learning?

Share your approach to continuous learning, such as following industry blogs, attending conferences, or enrolling in courses. Emphasize your commitment to integrating new developments into your work as a Senior Machine Learning Data Engineer.

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DATE POSTED
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