MLOps Engineer
Apply NowCompany: SW5 Consulting Ltd
Location: Hope Hull, AL 36043
Description:
Lead MLOps Engineer - GenAI
Join our team to lead the development of cutting-edge Generative AI solutions. You'll play a key role in implementing machine learning operations, ensuring seamless deployment, monitoring, and management of our models and data pipelines.
The Team: Work closely with a world-class AI/ML team, including experts in modeling, engineering, data science, and data engineering. Contribute to our AI-driven transformation and drive value for our customers.
Responsibilities:
What We're Looking For:
Preferred Qualifications:
The position is fully remote across the US and will pay up to $250k basic + benefits + 30% bonus for the right individual.
Join our team to lead the development of cutting-edge Generative AI solutions. You'll play a key role in implementing machine learning operations, ensuring seamless deployment, monitoring, and management of our models and data pipelines.
The Team: Work closely with a world-class AI/ML team, including experts in modeling, engineering, data science, and data engineering. Contribute to our AI-driven transformation and drive value for our customers.
Responsibilities:
- Lead ML Engineering to build and deploy GenAI services and solutions.
- Work on large-scale distributed systems, including infrastructure, data platforms, databases, microservices, and orchestration services.
- Develop MLOps/LLMOps platforms and automated pipelines for model deployment, monitoring, and maintenance.
- Collaborate with cross-functional teams to integrate ML models into production systems.
- Create and manage documentation and best practices for MLOps/LLMOps processes.
- Work with technology teams to develop and implement an Enterprise AI platform.
What We're Looking For:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 8+ years of experience in machine learning, data analytics, or similar roles.
- 5+ years of experience with:
- Writing scalable code in Python (or Scala)
- MLOps/LLMOps, machine learning engineering, Big Data
- Elasticsearch, SQL, NoSQL, Apache Airflow, Apache Spark, Kafka, Databricks, MLflow
- Containerization, Kubernetes, cloud platforms, CI/CD, workflow orchestration
- Distributed systems programming, AI/ML solutions architecture, microservices architecture
Preferred Qualifications:
- 2-3 years of experience with data-driven pipelines for large-scale analytics solutions
- Experience with open-source initiatives, research projects, or Kaggle competitions
- 6-12 months of experience with RAG pipelines, prompt engineering, or Generative AI use cases
- Experience with SageMaker and/or Vertex AI
The position is fully remote across the US and will pay up to $250k basic + benefits + 30% bonus for the right individual.