HomeData Science Jobs - BharatLSEG (London Stock Exchange Group) | Hiring | Machine Learning Ops Engineer...

LSEG (London Stock Exchange Group) | Hiring | Machine Learning Ops Engineer | Bengaluru | BigDataKB.com | 6 Oct 2022

Job Location: Bengaluru

  • Design ML data pipelines and work with infrastructure engineers to ensure the machine learning models can scale to deliver measurable benefits
  • Work with data scientists to take models built by them into production
  • Develop and deploy model in to cloud platforms using right tooling and handle machine learning training and inference
  • Apply software engineering best practices while building ML Models, including CICD, automation etc
  • Develop models with emphasis on auditability, versioning, and data security
  • Proficient in tuning models, data analysis and data cleansing from multiple sources
  • Experience in building e2e ML models as data engineers or equivalent
  • Experience in python and ML libraries and stack
  • Experience in cloud – AWS would be an added advantage
  • Experience building custom integrations between systems using API
  • Experience developing and maintaining ML systems with open-source tool
  • Experience developing with containers in cloud environment
  • Experience in data-oriented workflow orchestration framework- Step functions , control M
  • Strong understanding of software testing benchmarking and continuous integration
  • Exposure to deep learning approaches and modelling framework Pytorch, TensorFlow , Keras etc
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  • ML data engineering or relevant experience
  • Strong exposure in model development, execution, feedback, and retraining operational cycle
  • Strong experience working with AWS Glue, Sage maker, ground truth , Step functions , lambda , secrets manager , s3 , Aurora, containers and Quick sight dashboards
  • Experience in integrating of AWS services with office 365, Elasticsearch and other data services
  • Experience working with Jenkins, Ansible , Bitbucket and Nexus
  • Knowledge of Terraform to work in collaboration with infra structure engineers
Critical Deliverables
  • Ensure efficient and iterative deployment of dashboards and predictive models
  • Embed the usage of analytics to support change in operations and growth in the business
  • Adoption of analytics as decision making tool across Markets Operations and Business
Key KPIs
  • Predictable iterative deliveries.
  • Actionable intelligence produced.
  • Mean Time to Deliver useable tools
  • User feedback.
At LSEG, we believe that creating a diverse and inclusive organisation is fundamental to the way we deliver on our promise of creating essential partnerships and open opportunities. Our open culture is central to how we deliver our purpose – driving financial stability, empowering economies and enabling customers to create sustainable growth – in everything we do.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 70 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.
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