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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 Machine Learning Engineer!
Join a global tech leader right here in Donegal. TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve. With over 850 employees and a state-of-the-art global delivery centre, we’re proud to offer world-class career opportunities without having to leave the Northwest. Recognised as Workplace of the Year by the Letterkenny Chamber, we foster a culture of continuous learning, innovation, and respect. Our people are at the heart of everything we do – collaborating across teams, geographies, and disciplines to drive real change for clients around the world. Be part of something global, grounded in Donegal.
Careers at TCS: It means more
TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership.
- Grow your career, while being exposed to new technologies.
- Be part of an exciting team where you will be challenged every day.
- Lead projects and inspire both colleagues and stakeholders.
The Role
As a 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, Java, and Scala.
- Strong computer science fundamentals such as algorithms, data structures, multithreading.
- Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG.
- Experience using ML and DL Libraries:XGBoost, SKlearn, Tensorflow or PyTorch
- 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.
Desirable skills/knowledge/experience:
- 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 and access to extensive training resources and discounts within the larger Tata network.
We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon and partner with our local communities in Ireland.
Diversity, Inclusion and 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 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.
As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role. Please email us at [email protected] if you would like to opt in.
If you are an applicant who needs any adjustments to the application process or interview, please contact us at [email protected] with the subject line: “Adjustment Request” or email [email protected] to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.
Beware of Fraudulent offers
This is to notify you that TCS does not ask for any sort of payment or security deposit from candidates at any stage of the recruitment process. The firm never sends out job offers from free internet email services like Gmail, Yahoo Mail, and so on. TCS has not authorised any third-party company to collect money on their behalf. As a vigilant job seeker, beware of fraudulent recruitment activity and protect your interests! You can write to [email protected] to report any fraudulent activity.
Due to the 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.
Key Skills
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