ML Ops Lead
Pune, India
5d ago

Job Title ML Ops Lead

About Barclays

Barclays is a British universal bank. We are diversified by business, by different types of customers and clients, and by geography.

Our businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by our service company which provides technology, operations and functional services across the Group.

Risk and Control Objective

Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards.

Working Flexibly

We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports ways to balance your personal needs, alongside the professional needs of our business.

Providing the opportunity for all our employees, globally to work flexibly empowers each of us to work in a way that suits our lives as well as enabling us to better service our customers’ and clients’ needs.

Whether you have family commitments or you’re a carer, or whether you need study time or wish to pursue personal interests, our approach to working flexibly is designed to help you balance your life.

If you would like some flexibility then please discuss this with the hiring manager.

Introduction :

  • As a Designer, you’ll be responsible for creating and optimizing the overall solution for use cases and applications within the ML platform.
  • Collaborate with Lead Engineers, Enterprise Architects and broadly colleagues within community to coordinate strategies and to develop new Analytics / AI / ML solutions that fit for purpose.

    The role would also involve formulating and conducting extensive analytical exercises in order to improve existing business strategies and policies

  • What we required
  • Ability to explain complicated concepts clearly and concisely to non-technical audiences, influencing stakeholders on recommended actions.
  • Act as technical liaison and actively engage with business stakeholders, development / engineering teams and other shared services like Architecture and Governance teams
  • Experience in Requirement Engineering, Solution Architecture, Development and Deployment of IT solution in Big Data / Business Intelligence and Analytics / Machine Learning
  • Experience of Statistical analysis techniques, Machine Learning, and Artificial Intelligence methods desirable
  • Knowledge of Hadoop ecosystem and good understanding of distributed computing paradigms (Clustering / Distributed Computing, Storage, Data Centre Networking)
  • Acquiring knowledge of relevant data analytics and AI / ML technologies and demonstrate benefits by doing POCs where necessary
  • Experience in building analytical tools to generate insightful analysis to drive recommendations, identify patterns, relationships and problems to help the bank improve their business.
  • Experience in handling high volume and real time streaming datasets with cloud based tools such as AWS, GCP
  • Detail oriented and proven ability to understand business and non-functional requirements and transform into fully functional technical solution
  • Excellent communication, interpersonal and presentation skills.
  • Understanding of Micro Services Application Architecture
  • Understanding of K8s / Docker concepts.
  • What we’re looking for :

  • Graduate with preferred specialisation in IT, Mathematics with relevant work experience or satisfying the relevant skills (above).
  • Relevant work experience in some or all of the skills below
  • Technical skills

  • Expert understanding of one or more of the following technologies - SQL, Python, Spark, HDFS, Hive, Impala, Power BI / Tableau (or equivalents).
  • Proven ability to identify and learn emerging data analytics technologies and utilize them to deliver practical business solutions.
  • Knowledge of Machine Learning frameworks, libraries, data modelling and software architecture
  • Solution Architecture / Design mindset
  • Advanced working knowledge of big data technologies like PySpark, hive, MLiB & Hadoop echo system
  • Advance knowledge of full Hadoop / Spark, ETL, Data modelling, ApaaS skills
  • Experience in performing root cause analysis on internal and external processes to answer specific business questions and identify opportunities for improvement.
  • End-to-end software development lifecycle and methodologies (e.g. Waterfall, Agile).
  • Should be well versed with solution and framework design for interfaces for complex program involving multiple components
  • Should be able to estimate the platform level requirement and solution based on the program complexities for an optimized execution
  • Practicing knowledge of AWS components relevant to Data Science and Engineering
  • Soft Skills

  • Ability to work with a wide range of stakeholders and convert abstract ideas into actionable requirements
  • Ability to work with ambiguous situations and uncertainty
  • Out of the box thinking to solve real world problems
  • Should be able to juggle between multiple priorities efficiently
  • Ability to encourage and inspire team to help realise their potential, providing knowledge and guidance to all team members as required.
  • Work collaboratively with teams across different geographic locations and contribute to Machine Learning capability.
  • Good presentation skills Should be able to present findings and insights in a manner understandable to business.
  • Skills that will help you in the role :

  • Graduate with preferred specialisation in IT
  • Exposure to Banking and Finance domains, as well as technology within banking / finance.
  • Awareness of management information tools and systems.
  • Governance and compliance policies, standards, and procedures required to fulfil role e.g. LCP On boarding
  • Able to solve problems with data and to understand relevance to the wider objective.
  • Experience with big data tools : Hadoop, Spark, Kafka, etc.
  • Where will you be working?

    Be More at Barclays

    At Barclays, each day is about being more as a professional, and as a person. Be More Barclays’ represents our core promise to all current and future employees.

    It’s the characteristic that we want to be associated with as an employer, and at the heart of every employee experience.

    We empower our colleagues to Be More Globally Connected, working on international projects that improve the way millions of customers handle their finances.

    Be More Inspired by working alongside the most talented people in the industry, and delivering imaginative new solutions that are redefining the future of finance.

    Be More Impactful by having the opportunity to work on cutting-edge projects, and Be More Valued for who you are.

    Interested and want to know more about Barclays? Visit / who-we-are / for more details.

    Purpose, Values and Mindset

    We deploy finance responsibly to support people and businesses, acting with empathy and integrity, championing innovation and sustainability, for the common good and the long term.

    Our values underpin everything we do : Respect, Integrity, Service, Excellence and Stewardship.


    We harness the power of diversity and inclusion in our business, trust those we work with, and value everyone's contribution.


    We operate with honesty, transparency and fairness in all we do.


    We act with empathy and humility, putting the people and businesses we serve at the centre of what we do.


    We champion innovation, and use our energy, expertise and resources to make a positive difference.


    We prize sustainability, and are passionate about leaving things better than we found them.

  • Our Mindset shapes how we take action, living by our Values, driven by our Purpose, always with our customers and clients at the heart of what we do;
  • our Mindset is to Empower, Challenge and Drive.


    Trust and support each other to deliver. Make decisions with those closest to the topic. Include diverse perspectives. Celebrate success and learn from failure.


    Question whether things can be done better. Use insights based on data to inform decisions. Be curious about how we can adapt and improve.

    Speak up and be open to alternative viewpoints.


    Focus on outcomes. Deliver with pace. Be passionate and ambitious about what we do. Take personal responsibility. Actively build collaborative relationships to get things done.

    You must meet the following eligibility criteria :

    To apply, upload a copy of your updated resume on Taleo.

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