Job title: US Remote – Solution Architect, MLOps
Company: Nigel Frank International
Job description: 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.
Expected salary:
Location: Texas
Job date: Thu, 08 May 2025 22:18:29 GMT
Apply for the job now!