| MLOPS ENGINEER (GEN AI OR ML) || 6+ MONTHS || VIDEO || HYBRID at Remote, Remote, USA |
| Email: [email protected] |
| From: Jyoti Mittal, KPG99 Inc [email protected] Reply to: [email protected] Hi, My name is Jyoti and I represent KPG99 INC. We work with clients across the USA. I have a very urgent role. If interested then please share with me your updated resume along with below information. NEED INDEPENDENT OR W2 CANDIDATE POSITION MLOps Engineer (Gen AI/ML) GCP and Data Bricks are must haves. LOCATION Hybrid 3 days onsite in Chicago, IL Must be local DURATION 6+ months INTERVIEW TYPE Video VISA USC REQUIRED SKILLS Position Summary: The Senior ML Ops Engineer is responsible for managing and optimizing machine learning operations and Databricks solutions in a dynamic and fast-paced environment. This role involves collaborating with data engineers, analysts, and data scientists to deliver robust and innovative AI solutions that enhance the Ulta guest experience. The successful candidate will oversee the entire machine learning lifecycle and develop real-time data pipelines on our Databricks Platform on GCP. Key Responsibilities: Collaborate with data scientists and engineers to create a robust AI/ML infrastructure and deployment services for machine learning on Databricks. Develop and maintain MLOps processes that facilitate model development, training, deployment, monitoring, and inference. Deploy machine learning models into production environments, ensuring scalability and reliability. Fine-tune machine learning models using various algorithms and techniques. Supports the operations of the deployed solutions, investigates complex issues and assists with the resolution and implementation of preventive measures. Configure, manage, and optimize Databricks clusters, ensuring performance, scalability, and efficient resource utilization. Implement dashboards and reporting tools to track pipeline performance, cluster usage, and overall system health. Ensure compliance with data security regulations by setting up encryption, access controls, and auditing mechanisms within the Databricks environment. Requirements for Consideration: 7-10 years of overall IT experience, with 3-5 years in MLOps and Databricks platform development in cloud environments (GCP preferred). Strong understanding of machine learning algorithms, model evaluation, and optimization techniques. Experience with best-in-class ML operations to monitor and maintain models in production and ensure top quality, stable predictions with high uptime. Proven track record of developing and deploying models on Databricks. Hands-on experience with big data technologies like Spark, BigQuery and Databricks. Experience with CI/CD processes for deploying ML services and applications using tools like Bitbucket, and Jenkins. Proficiency in Python programming language along with experience in SQL. Strong expertise in Databricks resource management, and performance optimization. Experience working on Databricks administration is a plus. Willingness to support off-hours production issues and code deployments as necessary, with minimal travel required. Thanks & Regards, Jyoti Mittal | Technical Recruiter | KPG99,INC [email protected] | http://www.kpg99.com/ 3240 E State St EXT, Hamilton, NJ 08619 An E- Verified Company Certified Minority Owned Business Note: KPG99 does not endorse undesired email. If you do not want to receive our mails, please reply with Remove in the subject; I would ensure that you are not troubled further. I apologize for any inconvenience. Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology wtwo Illinois New Jersey MLOPS ENGINEER (GEN AI OR ML) || 6+ MONTHS || VIDEO || HYBRID [email protected] |
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| Tue Oct 22 20:25:00 UTC 2024 |