Intellias
Senior Technical Recruiter | IT hiring across EU | Master’s in Sociology
Location:
Poland (remote)
Work Schedule:
Full-time
Contract Type:
pureB2B (JDG)
We are looking for a skilled and experienced
MLOps Engineer
with business orientation to join our dynamic and innovative team at Intellias. As an MLOps Engineer, you will play a crucial role in developing and maintaining the infrastructure and processes required for deploying and managing machine learning models in production.
Requirements:
Master or higher degree in Computer Science, Engineering, or a related field.
5+ years of professional experience in MLOps, machine learning engineering, or a similar role.
Strong experience in Computer Vision, NLP, Generative AI demonstrated through relevant projects or research.
Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
Strong programming skills in languages such as Python or Rust.
Experience in designing and implementing scalable machine learning pipelines for model training, validation, and deployment.
Experience with cloud AI services (AWS / Azure / GCP)
Experience managing and deploying model registry and feature store technologies.
Experience with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.).
Experience working with containerization technologies such as Docker and Kubernetes.
Experience putting Deep Learning models into production with frameworks such as Pytorch or Tensorflow.
Experience developing REST APIs using frameworks such as FastAPI or similar.
Experience developing GenAI agents using libraries such as LangChain or similar.
Experience in evaluating LLM agents, LLM observability, and agent memory management.
Experience with infrastructure-as-code (IaC) tools such as Terraform.
Nice to have:
Experience of deploying LLM models on premise
GCP Professional Machine Learning Engineer certification (not older than a year)
Experience with data science projects
Industry knowledge in retail, manufacturing, healthcare, energy, finance or telecom
Responsibilities:
Execution and guidance of technical POCs and projects
Consulting, discovery phases and suggestions for executing the MLOps projects by following best practices and latest advancements in the field
Cooperating on presales and upsales with rest of the team
Participating in public speaking events
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
IT Services and IT Consulting
#J-18808-Ljbffr
Poland (remote)
Work Schedule:
Full-time
Contract Type:
pureB2B (JDG)
We are looking for a skilled and experienced
MLOps Engineer
with business orientation to join our dynamic and innovative team at Intellias. As an MLOps Engineer, you will play a crucial role in developing and maintaining the infrastructure and processes required for deploying and managing machine learning models in production.
Requirements:
Master or higher degree in Computer Science, Engineering, or a related field.
5+ years of professional experience in MLOps, machine learning engineering, or a similar role.
Strong experience in Computer Vision, NLP, Generative AI demonstrated through relevant projects or research.
Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
Strong programming skills in languages such as Python or Rust.
Experience in designing and implementing scalable machine learning pipelines for model training, validation, and deployment.
Experience with cloud AI services (AWS / Azure / GCP)
Experience managing and deploying model registry and feature store technologies.
Experience with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.).
Experience working with containerization technologies such as Docker and Kubernetes.
Experience putting Deep Learning models into production with frameworks such as Pytorch or Tensorflow.
Experience developing REST APIs using frameworks such as FastAPI or similar.
Experience developing GenAI agents using libraries such as LangChain or similar.
Experience in evaluating LLM agents, LLM observability, and agent memory management.
Experience with infrastructure-as-code (IaC) tools such as Terraform.
Nice to have:
Experience of deploying LLM models on premise
GCP Professional Machine Learning Engineer certification (not older than a year)
Experience with data science projects
Industry knowledge in retail, manufacturing, healthcare, energy, finance or telecom
Responsibilities:
Execution and guidance of technical POCs and projects
Consulting, discovery phases and suggestions for executing the MLOps projects by following best practices and latest advancements in the field
Cooperating on presales and upsales with rest of the team
Participating in public speaking events
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
IT Services and IT Consulting
#J-18808-Ljbffr