ML Eng./Data Science

TN Spain; Barcelona; Híbrido; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

An established industry player seeks a skilled ML Engineer/Data Science Python Developer to enhance their internal Python library and develop optimization tools. This role offers the chance to work in a hybrid environment, combining the flexibility of remote work with essential in-office collaboration. You will be responsible for improving code quality, optimizing performance, and streamlining data pipelines. Join a dynamic team that values innovation and offers numerous learning opportunities in a fast-paced, technology-driven environment. If you have a passion for data science and a strong foundation in Python, this is the perfect opportunity to make a significant impact.

Servicios

Learning Opportunities

Flexible Work Environment

Performance Recognition

Formación

• 8+ years of experience in a related role with strong Python programming skills.
• Knowledge of algorithms, data structures, and best practices in software development.

Responsabilidades

• Refactor and optimize Python code while maintaining functionality and performance.
• Standardize data pipelines for forecast models and communicate progress effectively.

Conocimientos

Python

Scikit-learn

PySpark

NumPy

Pandas

Unit Testing (pytest)

GitHub

Communication Skills

Attention to Detail

Educación

Bachelor's or Master's in Computer Science

Herramientas

Databricks

Descripción del empleo

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Axiom is a global information technology, consulting and outsourcing company and services provider. Our IT solutions empower organizations and individuals throughout the world to maximize value and quality to succeed in today's challenging business environment. As a fast-growing new economy company, we focus our strengths to offer world-class solutions and services through the convergence of technology, innovation, expertise and experience. We provide software consulting, development and IT-enabled services to clients across the globe. We work towards delivering sustained value creation for customers, employees, industries and society at large. Core offerings include data warehousing, middleware development, product development and web-enablement of legacy applications in verticals like telecom, finance, healthcare, manufacturing, energy & utilities, retail & distribution, enablement of legacy systems, relentless exploration of technology horizons, and a global delivery model that judiciously combines onsite, offsite, and offshore development, offering a complete range of high-ROI business solutions spanning the consulting, technology, operations, and process outsourcing value chain.

The Role

Job Title: ML Eng./Data Science Python Developer

Job Type: Full Time/Permanent

Work Mode: Hybrid work – 2 days in a week at the office.

Job Description:

In this role, you will:

1. Improve our internal Python library used for model deployments by adding new features, cleaning up code, optimizing performance, and expanding unit testing.
2. Develop our Optimization Library from a proof of concept to a fully standardized tool for deploying optimization.
3. Standardize and streamline the data pipelines used for our forecast models.

Responsibilities:

• Develop a detailed plan for refactoring/optimizing the code in Python while ensuring its functionality and performance are maintained.
• Write well-structured, efficient, and maintainable Python code, following best practices and company coding standards.
• Thoroughly test the new Python code, identify and resolve any bugs or issues, and ensure the results are consistent with the original implementation.
• Create clear documentation for the migrated Python code including comments, user guides, and technical specifications.
• Standardize and streamline the data pipelines used for our forecast models in PAT while defining and recommending the team best practices.
• Communicate progress and challenges effectively with the project team and stakeholders.

Ideal Profile

Required Skills:

• A bachelor’s or master’s degree in computer science, Data Science, or a related field.
• At least 8 years of experience in a related role.
• Knowledge of algorithms, data structures, and best practices in software development.
• Strong programming skills in Python and experience with production-grade Python code.
• Deep knowledge of Python libraries such as Scikit-learn, PySpark, NumPy, Pandas.
• Familiarity with Python’s unit testing framework (currently using pytest).
• Experience collaborating and using Github.
• Excellent communication and teamwork skills, with a strong attention to detail.
• Prior experience working with Databricks.

Preferred Skills:

• Prior experience with operationalization of ML models.
• Prior experience with ML models and collaborating with DS teams.
• Familiarity with R programming language. This role might require migrating some R code to Python/PySpark.
• Experience with production-grade pipelines and ideally with Databricks Delta Live tables or any other declarative pipelines.
• Knowledge of pricing algorithms and demand forecasting models.

What's on Offer?

• Work in a company with a solid track record of performance.
• Join a well-known brand within Telecommunications.
• A role that offers a breadth of learning opportunities.