Machine Learning Engineer

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com  

We are seeking a Machine Learning Engineer to contribute to our next level of growth and expansion.  

Job Description

We are seeking a talented and motivated Machine Learning Engineer to join our dynamic team. This role focuses on research and development of machine learning models tailored to the Ad Tech industry, driving innovation and performance optimization in a fast-paced, data-driven environment.

What is this position about?

• Conduct research and development of machine learning models for applications in the Ad Tech sector, including categorization, natural language processing, predictive modeling and optimization.
• Analyze large datasets to uncover patterns and insights that inform the design of innovative algorithms.
• Collaborate with cross-functional teams, to integrate ML models into production systems.
• Stay updated on the latest advancements in machine learning, computer vision, and natural language processing to identify opportunities for their application.
• Optimize and scale machine learning solutions to handle high volumes of data.

Qualifications

• Studies in Computer Science, Engineering, or a related field, or equivalent experience.
• Proven experience in data science and machine learning, with a strong foundation in model development and evaluation.
• Familiarity with AWS cloud services (Azure or GCP are also valued).
• Proficiency in Python for ML applications.
• Experience in building and deploying machine learning pipelines.
• Knowledge of Computer Vision (CV) or Large Language Models (LLMs) is highly valued.
• Experience with Snowflake or other cloud data platforms is a nice to have.

What about languages?

You will need excellent written and verbal English for clear and effective communication with the team.

How much experience must I have?

In order to thrive in this role, you must have at least 2+ years of experience as a software developer with a a focus in Machine Learning.

Additional Information

Our Perks and Benefits: 

📚 Learning Opportunities: 

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. 

• Access to AI learning paths to stay up to date with the latest technologies. 

• Study plans, courses, and additional certifications tailored to your role. 

• Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. 

• English lessons to support your professional communication. 

👩‍🏫 Mentoring and Development: 

• Career development plans and mentorship programs to help shape your path. 

🎁 Celebrations & Support: 

• Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. 

• Company-provided equipment.  

⚖️ Flexible working options to help you strike the right balance.    

Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.