| Interviews are scheduling & Dayone Onsite role:- Sr MLOps Engineer with Python exp needed at Austin, TX !! at Austin, Texas, USA |
| Email: [email protected] |
| From: Pradeep Peddireddy, Adbakx [email protected] Reply to: [email protected] Hi, . I hope you are doing great today. . Our client is looking to procure qualified candidates for the Sr MLOps Engineer with Python exp. Enclosed below is the Job Description for your reference. Kindly forward the resumes of qualified candidates in Word format, Contact details, Submission process format and Skill Matrix for further processing. . Interviews are scheduling Title: Sr MLOps Engineer with Python exp Location: Austin, TX ( Dayone Onsite role.. No Remote No Hybrid. Local Consultants only ) Duration: 12+ Months Contract Hourly billing rate: 60/hr C2C Number of Position: 1 Its for Implementation partner Note: NO Stem OPT, CPT and "H1B-Transfer cases" consultants are not workable for this role. . We are seeking a skilled and motivated MLOps Engineer to join our dynamic team. The ideal candidate will be responsible for developing, implementing, and maintaining machine learning pipelines and infrastructure, ensuring the efficient and reliable deployment of ML models into production environments. You will collaborate closely with data scientists, software engineers, and IT professionals to optimize and automate the machine learning lifecycle. . Experience: Minimum 12+ Years of work experience Consultant needed Minimum 6+ Years Proven experience as an MLOps Engineer Minimum 4+ Years experience on Python Hands-on experience with ML model deployment and lifecycle management. Proficiency in programming languages such as Python, Java. Experience with ML frameworks such as TensorFlow, PyTorch. Familiarity with containerization and orchestration tools (Docker, Kubernetes). Experience with cloud platforms (AWS, GCP, Azure). Experience with large language models (LLMs) and their performance optimization. . Key Responsibilities: Design, implement, and manage scalable ML model deployment pipelines. Automate the deployment process using CI/CD tools. Monitor, troubleshoot, and maintain deployed models in production. Develop and maintain infrastructure for data ingestion, processing, and storage. Optimize compute resources for cost and performance efficiency. Ensure high availability and scalability of ML infrastructure. Provide support for model retraining and updates. Implement monitoring and logging solutions for model performance and data quality. Optimize the performance of large language models (LLMs) in production environments. Implement techniques for efficient inference and fine-tuning of LLMs. Monitor and improve the scalability and latency of LLM deployments. Qualifications Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Submission process format First Name Middle Name Last Name Contact Number Email Address Skype Id / Zoom ID Available Start Date Best time to call you in Working hours Your preferred Interview time Slot Work Authorization Visa expire date Highest Qualification Year of Passing University Comfortable working on Dayone onsite role at Austin, TX Yes / No :- Last 4 Digits of SSN Total Years of Experience Total U.S.A. Years of Experience Current Location Willing to Relocate (Yes/No) Willing to Travel (Yes/No) Pay Rate (W2/1099/C2C) Profile Sourced from Vendor/Partner company is Consultant on there W2/1099/H1b If you not TechM Ex-employee then mention as N/A Ex-TechM Employee: If Ex-TechM Employee required ID NO: Reporting Manager: Project name: Exit reason: Last 3 Months' rating: Currently working Yes/No: Which Date/Month have you done with your Current project Or When is your project going to End Any possibility of Extension of the Project When we scheduled the Interview for you and at the same time you got a meeting then which one you preferred Skills Years of Experience Total Years of Experience MLOps Engineer Python ML model deployment and lifecycle management. Large language models (LLMs) Java TensorFlow PyTorch. Docker, Kubernetes AWS GCP Azure Thanks & Regards Pradeep Peddireddy Adbakx Senior Client Account Manager Certified Minority Business Enterprise (MBE) E-Verify Employer | . . Keywords: continuous integration continuous deployment machine learning information technology wtwo Idaho Texas Interviews are scheduling & Dayone Onsite role:- Sr MLOps Engineer with Python exp needed at Austin, TX !! [email protected] |
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| Tue Jul 30 19:16:00 UTC 2024 |