| Dayone Onsite requirement :-Sr ML (Machine learning) Engineer needed at San Jose CA !!! at San Jose, California, 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 ML (Machine learning) Engineer. 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. Title: Sr ML (Machine learning) Engineer Location: San Jose CA, USA ( Dayone Onsite role.. No Remote No Hybrid will provide now or later stages ) Duration: 6-12 Months Contract Hourly billing rate: C2C Number of Position: 1 Its for Implementation partner Note: OPT, Stem OPT, CPT and "H1B-Transfer cases" consultants are not workable for this role Key Qualifications Minimum 12+ years of Overall experience is must 5+ years building NLP/AI software professionally and successfully releasing to customers. 5+ years of hands-on experience in building scalable systems for training & evaluating of machine learning/deep learning models. Experience with state-of-the-art NLP algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models and parameter efficient fine tuning of LLMs. Familiarity with deploying model for large scale inferencing & optimizations. Solid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferences. A strong track record of shipping products and publications / patents. Strong proficiency in PyTorch, TensorFlow, Transformers, Kubernetes, Docker, LangChain, vectorDB and cloud platforms like AWS, GCP, or Azure, and Monitoring tool like Grafana, and CI/CD like airflow, GITlab, and Big Data management like Spark, Kafka. Education & Experience Education & Experience - Ph.D. in Computer Science, Artificial Intelligence, Machine Learning or related field; or M.S. in related field with 3+ years of experience applying machine learning engineer to real business problems 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 role at San Jose CA , USA 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 experience ML (Machine learning) Engineer NLP/AI software Multi-modal LLMs PyTorch, TensorFlow Kubernetes, Docker AWS, GCP, or Azure CI/CD like airflow Thanks & Regards Pradeep Peddireddy Adbakx Senior Client Account Manager Certified Minority Business Enterprise (MBE) E-Verify Employer | . . Keywords: continuous integration continuous deployment artificial intelligence machine learning wtwo California Idaho Dayone Onsite requirement :-Sr ML (Machine learning) Engineer needed at San Jose CA !!! [email protected] |
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| Tue Jun 11 19:05:00 UTC 2024 |