Machine Learning Scientist

Dublin

  Machine Learning

115000

Permanent

Our client, an international software development company are hiring a Machine Learning Scientist to lead the creation and integration of innovative ML functionalities. Based in Dublin, the successful candidate will work closely with Product and Design teams to transform intricate product obstacles into ML-driven solutions, delivering swift prototypes and maximizing tangible outcomes.

Responsibilities:

  • As the Machine Learning Scientist, you will develop and implement ML algorithms, facilitating smooth transition from offline testing to production.

  • You will be responsible to identify potential applications of ML to enhance customer value.

  • Work closely with diverse teams to define product challenges suitable for ML integration.

  • Address scalability and optimization challenges to improve algorithm efficiency.

  • Lead the advancement of production ML infrastructure and data architecture.

  • Establish reliable procedures for data analysis, model validation and continuous enhancement.

  • Evaluate and refine algorithm performance in accordance with team goals.

Skillset:

  • Bachelor’s degree in Computer Science or similar.

  • Mastery of practical engineering methods with robust programming proficiency.

  • Proven track record in production environments, contributing to distributed systems design.

  • Demonstrated expertise in deploying ML-driven features in practical scenarios.

  • Comfort with uncertainty and a proactive approach to problem-solving.

  • Familiarity with AWS services and ML Ops is a bonus.

  • Successful history of delivering ML products and experience in research settings is desirable.

  • Proficiency in relevant ML domains such as NLP, Deep Learning, Bayesian methods, etc.

  • Competence in data visualization, SQL and statistical analysis tools.

Benefits:

  • Salary: €90k – €115k + Equity

  • Comprehensive benefits package including health and dental insurance.

If this sounds like the role for you, apply now in the link below or email your CV to mark@alldus.com for consideration.

44872