Lead Machine Learning Engineer

Details of the offer

Lead Machine Learning Engineer (12 12 24)Role: Lead Machine Learning Engineer Job Type: Permanent
Location: Hybrid – 3 days onsite in Letterkenny GDC, Co. Donegal per week

Ready to utilise your AI/ML expertise to improve financial lives of customers worldwide?
Are you looking for an exciting opportunity to grow your career with a dynamic global IT Consultancy?

Make a meaningful impact as a Lead Machine Learning Engineer! The Role
As a Lead Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client.
Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions.
You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value.

Key responsibilities: Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams.Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models.Partner with data scientists to understand, implement, train, and design machine learning models.Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform.Construct optimised data pipelines to feed machine learning models.Extend existing machine learning libraries and frameworks.Develop processes, model monitoring, and governance framework for successful ML model operationalisation.Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results.Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations.Design and implement architectural best practices in the delivery of data science use cases. Your Profile Key skills/knowledge/experience:Extensive software engineering experience with a strong working experience as a Machine Learning Engineer.Bachelor's degree in computer science, computer engineering, or a related engineering field.
Master's degree preferred.Advanced proficiency with Python framework, Java, and Scala.Strong computer science fundamentals such as algorithms, data structures, multithreading.In-depth experience building solutions using public clouds such as AWS, GCP.Experience using ML platforms like SageMaker, H2O, DataRobot, etc.Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc.Experience managing relationships in a cross-functional environment with multiple stakeholders.Experience with developing and deploying production-grade applications with ML inferences using automation pipeline on cloud.Experience working in Agile/ Scrum development process.Thought leadership and innovative thinking.Excellent communication and collaboration skills. Good to have:Familiarity with Generative AI concepts (LLaMA, Dall-E, ChatGPT, Bard, etc.
).Search platform experience (Solr, Elasticsearch, etc.
).Experience in building end to end recommender systems.Exposure to graph databases and platforms, e.g.
Neo4j.Exposure to CI/CD tools like Jenkins.Financial Services, particularly Insurance and 401K domain knowledge.AWS Solutions Architect certification. Rewards & Benefits
TCS is consistently voted a Top Employer in the UK and globally.
Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network.

Diversity, Inclusion & Wellbeing
Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the Ireland Employment Equality Acts 1998-2011 (as amended) and the Equal Status Acts 2000-2012 (as amended).
We believe in building and sustaining a culture of equity and belonging where everyone can thrive.
Our diversity and inclusion motto is 'Inclusion without Exception'.
Our continued commitment to Culture and Diversity is reflected across our workforce implemented through equitable workplace policies and processes.
We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation.
We are a disability inclusive employer and encourage disabled people to apply for this role.
If you are an applicant who needs any adjustments to the application process (including completing the application form) or interview, please contact us to request an adjustment.
We welcome requests prior to you completing the application and at any stage of the recruitment process.

Next Steps
Due to a high volume of applications, we will be unable to contact each applicant individually on the status of their application.
If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion.

Join us and do more of what matters.
Apply online now.

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Nominal Salary: To be agreed

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