| Machine learning lead engineer at Remote, Remote, USA |
| Email: [email protected] |
| Hello Greetings from Sri and Sri inc., We are looking for Machine Learning Lead Engineer in the location USA(Remote)with one of our clients Role: Machine Learning Lead Engineer Location: USA(Remote) Exp:12+ Job description: We are seeking a Machine Learning Lead Engineer with 10+ years of total experience and 5+ years of hands-on 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 end-to-end 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 large-scale 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 cross-functional teams to deliver impactful AI-driven solutions aligned with business goals. Requirements: 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 hands-on 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 large-scale data. Strong hands-on 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 cross-functional teams to design AI solutions that drive business value. Excellent analytical, problem-solving, and communication skills. Preferred Qualifications: Experience in natural language processing, deep learning, or predictive modeling. Proven track record of working with Azure services to deploy large-scale machine learning solutions. Experience with big data tools (e.g., Hadoop, Presto, Hive) and their integration with ML workflows. Regards, Muni Lakshmi Us it Recruiter/Bench sales recruiter Contact: +12242290407 EXT: 105 Email: [email protected] -- Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology Machine learning lead engineer [email protected] |
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| Fri Oct 25 19:02:00 UTC 2024 |