Sr. ML Engineer - Bellevue, WA (Hybrid) -CGEMJP00269253 at Bellevue, Washington, USA |
Email: [email protected] |
Sr. ML Engineer - Bellevue, WA (Hybrid) -CGEMJP00269253 Hi, I hope this email finds you well. My name is Mayank, and I am a Technical Recruiter from Empower Professionals Inc. I came across your profile and wanted to reach out regarding a Sr. ML Engineer role with one of our clients based in Bellevue, WA . Please let me know if you are available in the job market and interested in this role (see job description below) - if so, we can connect and speak further. I would need your updated resume to proceed and can give you a call as soon as I have it. PST Candidates Only Role: - Sr. ML Engineer - CGEMJP00269253 Location: Bellevue, WA Duration: 12 Months Important: Hybrid Position, We Require Local Candidates Only Job Description Support ML projects from strategy through implementation and on-going improvements. Perform data collection, analysis, validation, cleansing, developing software in support of multiple machine learning workflows, integrating / deployment of code in a large-scale production environments and reporting. Designs, codes, tests, debugs, and documents ML code - models, ETL processes, SQL queries, and stored procedures. Extracts and analyzes data from various structured and unstructured sources, including databases, files, data lakes and external APIs/websites. Responds to data inquiries from various groups within clients organization. Requires experience with relational databases, document databases (NOSQL) and knowledge of query tools and/or statistical software. Responsible for other duties/projects as assigned by business management / leadership. Qualifications Minimum Required 7 plus years of experience in statistical modeling, data mining, analytics techniques, machine learning software development and reporting 5 plus years of applied experience in building / deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc., and key parameters that affect their performance. 5 plus years of hands-on experience with Python and/or R programming and statistical packages, and ML libraries such as scikit-learn, TensorFlow, PyTorch, etc. 3 plus years of experience in building use cases / solutions especially around AI/based on Cloud infrastructure and services such as Azure, GCP, AWS cloud platforms and On-premise environments Expertise with SQL, NoSQL, Python, R, JavaScript programming languages and big data environments (such as Splunk, Hadoop, Spark, Flink, Stream Analytics, Kafka, Docker, Kubernetes etc.) Experience developing experimental and analytic plans for data modeling processes, using strong baselines, and determining cause and effect relations. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. in data analysis projects. Expertise with scaling pilot machine learning solutions to a large-scale production environment using data bricks Expertise with visualization tools such as PowerBI, D3JS etc. Excellent written and verbal communication skills Awaiting your quick response. Thanks! P.S. Empower is a top vendor to clients such as Apex Systems LLC, Sogeti, Randstad, Capgemini, UST and more . Thanks Mayank Verma Technical Recruiter | Empower Professionals ...................................................................................................................................... [email protected] | LinkedIn: https://www.linkedin.com/in/ mayankdverma/ Fax: 732-356-8009 | 100 Franklin Square Drive Suite 104 | Somerset, NJ 08873 www.empowerprofessionals.com Certified NJ and NY Minority Business Enterprise (NMSDC) Mayank Somerset, NJ 08873, Somerset, NJ 08873, Somerset, NJ, NJ 08873 Keywords: artificial intelligence machine learning access management rlang information technology New Jersey New York Washington Sr. ML Engineer - Bellevue, WA (Hybrid) -CGEMJP00269253 [email protected] |
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Mon Sep 30 20:20:00 UTC 2024 |