Senior Machine Learning Engineer W/ Full

hace 2 semanas


Barcelona, España Babel Profiles A tiempo completo

Are you interested in becoming a part of a world-leading company that places a strong emphasis on innovation and supports your professional growth?

As a Senior ML Engineer, you will play a crucial role in the design, development, and deployment of cutting-edge Machine Learning solutions. You will also have the opportunity to create state-of-the-art data products and explore novel ML techniques that drive innovation.

Take the next exciting step and join us in our journey to transform the field of human capital management

**Languages**:

- Full professonal level of English
Barcelona
- Competitive Salary
- SaaS
- Permanent

**Main Responsibilities**:

- Identify, design, develop & deploy advanced ML solutions
- Contribute to enhancing the overall ML architecture, infrastructure, data pipelines
- Be responsible for crafting and implementing cutting-edge data products, ML models, and systems aimed at optimizing the user experience
- Work closely with engineering and product teams within an Agile framework
- Take the lead in defining and promoting best practices to create adaptable, high-performing AI models and systems that continuously evolve and improve
- Will act as a mentor to the more junior members of the team

**Core Skills/experience**:

- Hold a bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or an equivalent qualification
- Possess 6+ years of experience, honing and developing the relevant skills required for this role, gained through work in a similar or related capacity
- Have a high level of proficiency in Python, data structures and algorithms, and in deep learning frameworks like PyTorch
- Experience with AWS cloud solutions like Lambda and SageMaker, as well as expertise in CI/CD tools like Jenkins and non-relational databases (NoSQL)
- Exposure to platforms like Databricks, MLflow, and Jupyter notebooks

**What’s on offer**:

- Permanent contract
- Competitive salary
- Benefits package: health insurance, life assurance and other interesting perks
- Hybrid work model (mix of office & home-based)
- Possibility to grow in an international company

**Our recruitment process**:

- Step 1: Interview with one of our Recruiters to get to know you better
- Step 2: Phone call with HR
- Step 3: Technical Interview with the company's Hiring Manager & Team
- Step 4: Final interview



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