Job Description
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