Location: This position is remote within Colombia

About technology

At Huge, its not only about depth in technology, but ongoing incubation and experimentation as to how to apply technology. Every technologist at Huge helps bring ideas to reality.

Job description

We are seeking a talented Senior Python Engineer with a passion for machine learning to join our team. The ideal candidate will have a proven track record of developing robust Python applications and an understanding of machine learning frameworks. This role offers the opportunity to work on diverse projects with global clients. You will be joining a team of skilled professionals to drive innovation and deliver impactful solutions.

What youll be doing

• Design, develop, and maintain high-quality Python code for various projects, focusing on scalability, performance, and maintainability.
• Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions.
• Utilize machine learning techniques to analyze large datasets and extract insights.
• Stay up-to-date with the latest advancements in machine learning and Python development, continuously improving skills and knowledge.
• Mentor junior team members, providing guidance and support to foster their professional growth.

What we would like to see

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 5+ years of experience on a development team deploying agile methodologies, collaborating with technologists, creatives, project managers, and strategists.
• Familiarity with software development best practices, including version control systems (e.g., Git) and agile methodologies.
• Demonstrated experience making well-reasoned design decisions and tradeoffs in given area of expertise.
• A hunger to seek out new technologies, industry trends, and best practices -- and enjoyment sharing that knowledge with others.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration abilities, with the capability to work well in a team environment.
• Proven experience in Python and a deep understanding of associated computer science fundamentals: object-oriented programming, data structures, algorithm design, problem solving, and complexity analysis.
• Familiarity using coding assistants (e.g., Copilot) to improve daily tasks.
• Proficiency in popular Python web frameworks such as Django, Flask, or FastAPI.
• Understanding of machine learning concepts and techniques with desire to grow ML skills.
• Some experience doing data manipulation and feature engineering using tools like NumPy, pandas and Jupyter Notebook.
• Additional plus if you have experience with Google Cloud Platform, TensorFlow, PyTorch, GCP Vertex AI, Huggingface, Langchain, AWS Bedrock, PostgreSQL, MongoDB, MySQL, BigQuery.

About Huge

Huge is a design and innovation company. We create products and experiences that grow the worlds most ambitious brands. We do this by designing experiences for people, not users, and uncovering new sources of growth by leveraging our creative talent, our proprietary platform LIVE and unlocking the advantages brought to us by emerging technologies. We believe all experiences should be intelligent, shoppable and unique to every brand.

Part of the Interpublic Group of companies, Huges nearly 1,000 thinkers, tinkerers, makers and creators, have been problem-solving across North America, Europe, and Latin America for over 25 years. Interested? Youll find more information at www.hugeinc.com.

Huge is committed to creating an inclusive employee experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or if youre parenting the next generation of innovators, we firmly believe that our work is at its best when everyone feels free to be their most authentic self.

Huge is an equal opportunity employer (EOE). We strongly support diversity in the workforce. We are committed to an inclusive, barrier-free recruitment and selection process and work environment. If you are contacted for a job opportunity, please advise us of any accommodation needed to ensure you have access to a fair and equitable process. Any information received relating to accommodation will be addressed confidentially.

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