ML Eng./Data Science

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 Relentless exploration of technology horizons and a Global Delivery Model that is a judicious combination of onsite, offsite and offshore development, offer 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

Location: Sant Cugat, Barcelona, Spain 

Job Type : Full Time/Permanent

Work Mode: Hybrid work – 2 days in a week at 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 to migrate 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