ApTask · 18 hours ago
MLOps and ML Engineer
ApTask is a leading global provider of workforce solutions and talent acquisition services. They are seeking a Senior Machine Learning Engineer with expert Python coding skills, experience with Kubernetes and AWS, and proficiency in working with large language models (LLMs). The role involves supporting data workflows, designing MLOps infrastructure, and collaborating with teams to deploy ML models in production.
Human ResourcesInformation TechnologySmall and Medium BusinessesStaffing Agency
Responsibilities
Support data ingestion, dataset management, model training, and inference workflows
Design and implement MLOps infrastructure for traditional ML and large language models (LLMs)
Develop and maintain scalable ML systems and pipelines
Collaborate with cross-functional teams to deploy and monitor ML models in production
Qualification
Required
Expert in Python + strong coding skills
Working knowledge of PyTorch
5+ years of ML engineering experience
Experience with AWS cloud services
Experience developing ML infrastructure and pipelines
Strong hands-on experience with Kubernetes for ML workloads
Experience deploying and managing containerized ML applications in production
Bachelor's/Master's degree in Computer Science/ Engineering or a related field
Preferred
Hands-on experience with LLMs and generative AI
Experience with other Big Data processing technologies
CI/CD experience for ML workflows
Experience with model versioning and experiment tracking tools
Experience with Ray for ML training or inference
Company
ApTask
ApTask is a staffing and recruiting company offering staffing, project, and workforce solutions.
H1B Sponsorship
ApTask has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
2020 (1)
Funding
Current Stage
Growth StageRecent News
Company data provided by crunchbase