US Remote - Solution Architect, MLOps

A leading global data consultancy is searching for an experienced Machine Learning Solutions Architect to join its growing, remote-first team. Partnering with major cloud platforms (Primarily Snowflake, AWS & Databricks), this company delivers cutting-edge services designed to solve complex data challenges for large enterprises.

What You'll Do:

• Architect and implement data science deployment solutions tailored to enterprise client needs, focusing on model inference, monitoring, retraining, and infrastructure setup.
• Collaborate with data scientists to prepare and transform data into production-ready formats.
• Build environments for model development and testing, ensuring operational readiness and maintainability.
• Design integration strategies with existing business systems to ensure scalability and long-term success.
• Lead efforts in model QA, testing, validation, and production rollout.
• Champion best practices for software development, model deployment, and infrastructure.

What You Bring:

• 6+ years of experience in roles such as ML Engineer, Software Engineer, or Data Engineer. However some kind of background in data engineering is crucial for the role
• Strong background in Python, Scala, Java, or comparable languages.
• Proficient in deploying models in real-world production environments.
• Expertise in SQL and distributed computing tools (e.g., Spark, Snowflake, Databricks).
• Familiarity with various data sources and systems (Kafka, RDBMS, cloud platforms).
• Solid grasp of cloud infrastructure and architecture (e.g., AWS, Azure, GCP).
• Experience in developing APIs or backend applications using modern frameworks.

Preferred Qualifications:

• Advanced degree in a relevant technical field.
• Hands-on experience with ML tools and frameworks such as TensorFlow, Keras, scikit-learn, or H2O.
• Experience with containerization tools like Docker or Kubernetes.
• Familiarity with model management tools (MLflow, Sagemaker, Azure ML).
• Contributions to open-source projects or relevant personal initiatives.

Benefits:

• Flexible, remote-first working model.
• Culture that values creativity, autonomy, and team collaboration.
• Competitive compensation, strong benefits, and generous PTO.
• Ongoing professional development including certification opportunities.
• Inclusive environment where diverse perspectives are welcomed and celebrated.

Equal Opportunity:
This company is committed to diversity and inclusion, offering a workplace that supports all employees regardless of background, identity, or experience. Accommodations are available for applicants with disabilities.