Senior MLOps Engineer

We are looking for an experienced Senior MLOps Engineer

Requirements:

• Proven experience in programming with languages such as Python, GO, or similar.
• Hands-on experience with one or more cloud computing platforms (Azure - preferred, AWS, GCP).
• Extensive experience in architecting and implementing end-to-end operations for machine learning projects.
• Proven experience in designing and implementing CI/CD/CL pipelines for machine learning projects.
• Hands-on experience with serverless functions and DevOps tools for building and automating pipelines.
• Experience with containers (Docker) and their orchestrations (Kubernetes).
• Experience with Infrastructure as Code. Terraform is a plus.
• Proficiency in RDBMS/NoSQL data stores and appropriate use cases.
• Proficiency in machine learning libraries such as scikit-learn, TensorFlow, Keras, PyTorch, and Spark MLlib is a big plus.
• Experience with orchestrated Large Language Model (LLM) applications is a plus.
• Ability to create and deploy technology prototypes and machine learning models for business applications is a plus.
• Experience with rapid prototyping and agile methodologies.
• Effective communication skills to present technical solutions to business audiences.
• Interest and knowledge in emerging technologies is a plus.
• Previous experience in an innovation lab or similar environment is advantageous.

Further Info:

• Long-term B2B contract
• Fully remote