Data Scientist / ML Engineer (Madrid)

INNOCV Solutions; Madrid; Presencial; EUR 42.000 - 60.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional Training

Flexible hours

Friday hours

Extra days off

Birthday day off

Bring a friend

Flexible compensation

Gympass

Volunteering

Team events

Descripción de la vacante

INNOCV Solutions Madrid is seeking a Data Engineer / ML Engineer with 2–3 years of experience to design scalable data pipelines using PySpark, build ML models, and deploy them on AWS SageMaker. You will collaborate with cross-functional teams in an agile environment, leveraging Python and SQL to derive actionable insights.

Role requires hands-on PySpark, ML knowledge, and experience with GitHub in a collaborative setting. Madrid residency preferred.

Formación

• 2–3 years of experience in Data Engineering, ML, or similar roles.
• Strong Python skills with Pandas, NumPy and Scikit-learn.
• Strong SQL proficiency for data querying and analysis.
• Hands-on PySpark experience for large-scale processing.
• Knowledge of ML algorithms and hyperparameter tuning.
• Experience with AWS SageMaker and Athena for ML pipelines.

Responsabilidades

• Design, develop, and maintain scalable data pipelines using PySpark.
• Develop, test, and optimize ML models for predictive analytics.
• Manage ML environments and workflows using AWS SageMaker and data querying with Athena.
• Integrate ML models into production pipelines with MLOps best practices.

Conocimientos

PySpark

Python (Pandas/NumPy/Scikit-learn)

SQL

AWS SageMaker

AWS Athena

Machine Learning

GitHub

MLOps

Data engineering

Problem solving

Herramientas

AWS SageMaker

GitHub

AWS Athena

Descripción del empleo

Who are we?

• We are digital natives and technology-neutral thanks to our rapid adaptation capabilities and problem-solving skills in any business situation.
• We are passionate about technology challenges that have a significant impact on business. To address these, we have high-performance teams and the ability to quickly and effectively combine technologies.
• We support our clients in their digital evolution to achieve maximum efficiency in their businesses, leveraging our extensive multi-sector experience.

Who are we?

We are part of the Alkemy Group, specializing in driving growth through our technological expertise, tackling complex challenges, and fostering operational excellence.

• We are digital natives and technology-neutral thanks to our rapid adaptation capabilities and problem-solving skills in any business situation.
• We are passionate about technology challenges that have a significant impact on business. To address these, we have high-performance teams and the ability to quickly and effectively combine technologies.
• We support our clients in their digital evolution to achieve maximum efficiency in their businesses, leveraging our extensive multi-sector experience.

We invite you to get to know us in depth by exploring the various sections of our website.

What will you do?

• Design, develop, and maintain scalable data pipelines using PySpark to efficiently process large volumes of data.
• Develop, test, and optimize Machine Learning models for predictive analytics, including regression, classification, and clustering techniques.
• Manage and deploy Machine Learning environments and workflows using AWS SageMaker, while leveraging Athena for data querying and analysis.
• Integrate Machine Learning models into production pipelines, ensuring proper monitoring, maintenance, and continuous improvement through MLOps best practices.
• Collaborate closely with cross-functional teams to understand business challenges and translate them into data-driven solutions.
• Conduct advanced data analysis using Python and SQL to deliver actionable insights.
• Work collaboratively with multidisciplinary teams using Git/GitHub and agile development methodologies.

What do we value?

• 2–3 years of experience in Data Engineering, Machine Learning, or similar roles.
• Advanced proficiency in Python, including libraries such as Pandas, NumPy, and Scikit-learn.
• Strong SQL skills for data querying, transformation, and analysis.
• Hands-on experience with PySpark for large-scale data processing.
• Solid understanding of Machine Learning algorithms, including regression, classification, clustering, and hyperparameter optimization techniques.
• Experience working with AWS services, especially SageMaker and Athena.
• Knowledge of MLOps practices and experience integrating and monitoring ML models in production environments.
• Familiarity with Git and collaborative development workflows using GitHub.
• Strong analytical thinking and problem-solving skills.
• Curiosity, autonomy, attention to detail, and a collaborative mindset.
• Residence in Madrid

If you are someone who enjoys staying up to date with the latest trends, is naturally curious, and likes exploring new ways of doing things, this is the place for you. If you consider yourself a true team player who believes in fair play above all else, there’s a team waiting for you!

What do we offer you?

In this company, you can be yourself and work with colleagues equally passionate about technology and innovation, ready to support you at all times. We want to see you evolve and grow with us. To that end, we invest in your professional development with training, tech breakfasts, and attendance at forums. We are advocates of continuous learning, which is why we provide a personal budget for staying up to date with market trends.

We care about well-being and happiness at work, which is why we listen to needs to offer the best working conditions in a unique human environment. Due to the emphasis we place on flexibility and work-life balance, we won the Madrid Flexible Company Award in 2020 and received an honorable mention in 2022.

This is a WIN-WIN, and we have 42 benefits to offer you, but here are some highlights:

Professional Training & Certifications

Flexible hours

Special timetable: Fridays and summer 7h.

Every three years, 6 extra days off.

Day off on your birthday

Bring a friend and benefit from it

Flexible Compensation

Wellness - Gympass

Volunteering opportunities

Company Events And Team Buildings

To learn more about us, the protagonists of INNOCV will share more about the company.

If you identify with our work philosophy and share our passion for INNOvation and Code Vocation, we want to meet you!

Loyal to our commitment with diversity and inclusion, we encourage everybody to apply, especially those belonging to underrepresented groups such as LGTBIQ+ members and those with disabilities.