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 MLOps Engineer to contribute to our next level of growth and expansion. 

We are looking for a versatile MLOps Engineer to design, develop, and operationalize machine learning models in a production environment. You will work closely with different stakeholders to build high-quality models and with DevOps/MLOps teams to ensure their deployment, scalability, and reliability on AWS.

What is this position about?

• Develop, train, and tune machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Deploy, monitor, and maintain ML models in production using AWS SageMaker, Lambda, ECS, and related services.
• Build and maintain automated ML pipelines for data processing, model training, evaluation, and deployment.
• Implement CI/CD and Infrastructure as Code (IaC) practices for ML workflows using tools like Jenkins, GitLab CI, and Terraform.
• Containerize ML workloads using Docker and orchestrate them on AWS ECS.
• Optimize ML models and infrastructure for performance, scalability, and cost-efficiency.
• Collaborate across teams to ensure reproducibility, observability, and best practices in MLOps.

• Strong knowledge of AWS services: SageMaker, EC2, S3, Lambda, ECS, IAM, and VPC.
• Experience developing, deploying, and scaling machine learning models in production.
• Solid understanding of machine learning algorithms, frameworks, and best practices.
• Proficiency in Python, SQL, and Bash scripting.
• Experience with DevOps practices, CI/CD pipelines, and Infrastructure as Code (Terraform).
• Familiarity with containerization and orchestration using Docker and AWS ECS.
• Strong problem-solving skills and ability to work collaboratively in fast-paced environments.

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 4+ years of experience in similar roles.

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. 

Travel opportunities to attend industry conferences and meet clients. 

👩‍🏫 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.