Open Positions

Machine Learning Engineer

Remote

LATAM

About OneSix 

OneSix is a leading data and artificial intelligence (AI) consultancy that helps businesses build the strategy, technology, and teams they need to scale growth and efficiency. Its team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI Engineers seamlessly integrate with client teams to solve their most challenging business problems. Leveraging strategic partnerships with Snowflake, AWS, Matillion, Fivetran, Pyramid Analytics, and more, the company uses modern technology, scalable architectures, and industry best practices. With the recent acquisition of Strong Analytics, an ML and AI consultancy, OneSix is a uniquely powerful business partner to the enterprise, with a talent mix that is nearly impossible to find under one roof. 

OneSix is a fast-growing firm with significant career opportunities for motivated professionals who want to help create a unique company. We are committed to fostering an inclusive employee experience that reflects the world we live in today. We’re an equal-opportunity employer that welcomes people regardless of backgrounds, experiences, abilities, and perspectives.

At OneSix, your work will have an immediate impact on clients addressing real world challenges. Our work spans industries such as manufacturing, gaming, agriculture, automotive, and healthcare, among others. We pride ourselves not only in building the right solutions for our clients through research and development, but in implementing and scaling up those solutions through strong engineering. This role thus requires a deep expertise in applying data science and machine learning to real -world problems where data must be gathered, transformed, cleaned, and integrated into a larger architecture.

Responsibilities

  • Design, deploy, and maintain end-to-end ML systems, from prototyping to production using modern MLOps tools and practices, working alongside ML Scientists.
  • Develop robust and reusable pipelines for model training, validation, deployment, and monitoring using tools such as MLflow, SageMaker, or Vertex AI.
  • Build infrastructure for scalable model deployment, leveraging containerization (Docker), orchestration (Airflow, Kubernetes), and CI/CD pipelines.
  • Collaborate with data engineering teams to integrate ML solutions into cloud-native data platforms (e.g., Snowflake, AWS, GCP).
  • Implement and monitor model performance, data drift, and retraining workflows in production environments.
  • Translate experimental ML solutions into robust, version-controlled, testable code that adheres to engineering best practices.
  • Research and evaluate emerging tools in the MLOps space, promoting continuous improvement of deployment and operational workflows.

Job requirements

All applicants will be considered based on their experience and demonstrated skill/aptitude, not formal education. Candidates will be evaluated based on their experience in the following areas:

  • Solid experience with cloud platforms (AWS, GCP, or Azure) for model training and deployment.
  • Experience with MLOps tools and practices (e.g., MLflow, TFX, SageMaker, Vertex AI, Kubeflow).
  • Experience building and managing CI/CD pipelines for ML.
  • Strong programming skills in Python, with production-level experience in building reusable ML/ETL libraries and APIs.
  • Proficiency with SQL for working with structured data, ideally in a data warehouse context (Snowflake a plus).
  • Familiarity with model versioning, A/B testing, and performance monitoring in production.
  • Experience with Git and best practices in software development and collaboration.

 

OneSix provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, familial status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Don’t see the role you are looking for? Apply to our General Interest Application and we will get back
to you with an update.

Voices of Our Team

OneSix actively empowers its employees to grow and to have a voice, to effect real change to benefit the company and its clients. Individual contributions are recognized, and any shortcomings treated as opportunities for improvement.

A transparent work culture that encompasses a shared passion to grow technically and the satisfaction from helping multiple clients with their challenges.

At OneSix, there are endless opportunities to grow. Work-life balance and company culture are top priorities for the co-founders. Great talent, support, and an incredible culture make OneSix a top employer!

I am encouraged to grow at my own pace, while maintaining a healthy work/life balance. I have never been afraid to ask questions or provide feedback to senior staff and leadership. The culture has a palpable sense of mutual respect across all levels.

Our team spends each day problem solving and we are provided with a sophisticated stack of tools to work efficiently. There are no egos which fosters an open-door policy making room for collaboration – this goes all the way up to the co-founders.

OneSix has tapped into a simple secret: treat your employees like gold and they will treat your customers like gold. They have built a community of smart technologists, treat them well, and now can sit back and watch the customers keep coming back.