Hiring - MlOps Lead Engineer - Remote

Role :  MlOps Lead Engineer
Location : 100% remote
Type : W2 contract

Top Skills' Details

1. 3+ years of experience operationalizing AI/ML models within an Azure environment with 10 year of total engineering experience
2. Strong Python and Docker/Kubernetes experience
3. 2+ Experience with Azure AI/ML services

ESSENTIAL DUTIES:

• Utilize Azure technologies like Azure Cognitive Technologies, Azure Machine Learning, and Azure Bot Services to design, create, and deploy AI/ML based applications.
• Include AI components into data workflows, engage with data scientists and data engineers.
• Utilize Azure AI services to implement natural language processing (NLP) create and implement machine learning models and algorithms.
• Automate the deployment and monitoring of AI models, collaborate with DevOps teams.
• Use AI to automate processes such as sentiment analysis, image identification, recommendation systems, and chatbots.
• Implementing machine learning pipelines and workflows
• Deploying and scaling ML models in production environments
• Automating CI/CD pipelines to account for data, code, and model changes
• Monitoring model performance and applying updates as needed
• Ensuring the security and compliance of machine learning systems
• Collaborating with data scientists to optimize models and improve performance

POSITION REQUIREMENTS & COMPETENCIES:

• Bachelor’s Degree, (BA/BS) in Information Systems from a four-year college or university and 5 or more years of development experience required or equivalent combination or education and experience
• Travel up to 25%
• Total of 3-6 years of experience in managing machine learning projects end-to-end, with the last 18
months focused on ML Ops
• Strong programming skills, preferably in languages like Python, Java, or Scala
• Proficiency in machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learn
• Experience with containerization technologies, like Docker and Kubernetes
• Familiarity with ML model deployment tools, such as MLflow or Kubeflow
• Working experience in Azure cloud platform
 

Thanks & Regards

Kamran Kamal 

Technical Recruiter 

Tigerbells LLC

Suite 52, 1405 Chews Landing Rd.

Laurel Springs, NJ 08021

 Phone: +1 609 531 0649

E: kamran@tigerbells.com

W:www.tigerbells.com