MLOps engineers with Langraph experience
MLOps engineers with Langraph experience
Posted on :
19-10-2024
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Job Description
POsition: MLOps engineers with Langraph experience
Location: Remote
Job Description:
We are seeking a Machine Learning Lead Engineer with 10 years of total experience and 5 years of handson experience in machine learning including deep expertise in Langraph Apache Spark Python and Microsoft Azure. As a key member of the AI engineering team you will lead the design development and deployment of scalable machine learning models ensuring seamless integration with business processes.
Key Responsibilities:
- Lead the design implementation and optimization of ML pipelines using Langraph Python and Apache Spark to manage data workflows and model lifecycle.
- Drive the endtoend machine learning model development process from data collection feature engineering model building to deployment in production environments.
- Leverage Microsoft Azure cloud services to design scalable and secure infrastructure for machine learning applications ensuring high availability and performance.
- Collaborate with data scientists and engineers to develop advanced machine learning models and integrate them into business systems.
- Manage CI/CD pipelines for deploying machine learning models using tools such as Azure DevOps ensuring smooth model versioning monitoring and retraining.
- Utilize Apache Spark for largescale data processing ensuring that machine learning models are optimized for performance at scale.
- Apply expertise in Langraph to improve the efficiency and visualization of machine learning workflows making data management seamless.
- Ensure models in production are continuously optimized applying MLOps best practices to monitor performance and retrain models as needed.
- Lead crossfunctional teams to deliver impactful AIdriven solutions aligned with business goals.
- Bachelors or Masters degree in Computer Science Data Science Engineering or a related field.
- 10 years of total experience in software engineering or data science with 5 years of handson experience in machine learning.
- Proficiency in Langraph for managing complex machine learning data workflows and visualizations.
- Expertise in Python for developing and implementing machine learning models and automating data processing tasks.
- Extensive experience with Apache Spark for distributed computing and handling largescale data.
- Strong handson experience with Microsoft Azure particularly Azure Machine Learning Azure Databricks and Azure DevOps for deploying and scaling ML solutions.
- Experience in developing CI/CD pipelines for machine learning models and familiarity with MLOps frameworks like Kubeflow MLflow or similar.
- Ability to collaborate with crossfunctional teams to design AI solutions that drive business value.
- Excellent analytical problemsolving and communication skills.
- Experience in natural language processing deep learning or predictive modeling.
- Proven track record of working with Azure services to deploy largescale machine learning solutions.
- Experience with big data tools (e.g. Hadoop Presto Hive) and their integration with ML workflows.
Employment Type
Full Time
Key Skills
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