Lead Machine Learning Engineer

3 weeks ago

Monaghan, Ireland eir evo talent Full time

Location: Donegal, Ireland

Sector: IT

Salary: Apply for details

Job Type: Permanent
Location: Hybrid – 3 days onsite in Letterkenny GDC, Co. Donegal per week

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:

1. Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams.

2. Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models.

3. Partner with data scientists to understand, implement, train, and design machine learning models.

4. Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of the ML platform.

5. Construct optimized data pipelines to feed machine learning models.

6. Extend existing machine learning libraries and frameworks.

7. Develop processes, model monitoring, and governance framework for successful ML model operationalization.

8. Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results.

9. 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.

10. 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 of 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.

Candidates should hold appropriate RTWs for Ireland i.e. Stamp1G, Stamp 4, Irish/British/EU passport.

For more information please apply here or contact Agnes Reena / agnes.reena@eirevo.ie

Contact: 0858564199

eir evo talent is an equal opportunity employer who seeks to recruit and appoint the best available person for a job regardless of marital/civil partnership status, sex (including pregnancy), age, religion, belief, race, nationality and ethnic or national origin, colour, sexual orientation or disability. eir evo talent applies all relevant Data Protection laws when processing your Personal Data.

If you choose to apply to this opportunity and share your CV or other personal information with eir evo talent, these details will be held by us in accordance with our privacy policy used by our recruitment team to contact you regarding this or other relevant opportunities at eir evo talent.

Ref: EET6514

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