| Machine Learning Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: Priyanka, STELLENT IT [email protected] Reply to: [email protected] Sr. Machine Learning Engineer Remote Exp; 15+ JD; Candidate must have at least 5-7 years ON THE JOB experience in machine learning, AWS, and LLM (large language models) in an enterprise level environment. Must have worked in bringing a model to life, build algorithmic applications, feature engineering, MLOps, CICD, and building a model on AWS. AI of some kind is required, GenAI tool set is a plus, LangChain is a plus Client is seeking a Sr. Machine Learning Engineer for a 3+ month temporary job with a global hospitality company. The Sr. Machine Learning Engineer will design and implement algorithmic product architectures to bring our machine learning models to life across the full lifecycle of the product including data ingestion, ML processing, and results delivery/activation. The Sr. Machine Learning Engineer must have a minimum of a Master degree plus 5+ years of implementing software product solutions in a cloud environment with a focus on algorithmic/machine learning product. This is a great opportunity to work with a worldwide industry leader! Sr. Machine Learning Engineer job responsibilities include: Design and implement algorithmic product architectures to bring our machine learning models to life across the full lifecycle of the product including data ingestion, ML processing, and results delivery/activation. Work cross-functionally with various data science teams, data engineering teams, and data architecture teams. Serve as both solutions architect as well as hands-on implementation engineer and guide the team towards best-in-class algorithmic product implementations. Be a part of a ground-floor, hands-on, highly visible team which is positioned for growth and is highly collaborative and passionate about data science. Apply the latest techniques and approaches across the domains of data science, machine learning, and AI isnt just a nice to have, its a must. Partner with data scientists to design workflows/architectures that activate ML models and maximize their impact, such as real-time streaming use-cases and offline batch optimizations. Partner with data scientists to develop prototype solutions of algorithmic products leveraging appropriate AWS services with appropriate consideration for scale and latency where applicable. Implement and productionize final solutions via infrastructure-as-code pattern. Implement data processing workflows to enhance our Feature Store with impactful data including appropriate data cleansing/imputation logic. Enhance existing algorithmic products architecture/workflow as needed to maximize impact of the algorithmic product. Partner with data engineering team to ensure data science data needs are being delivered in the appropriate format/cadence required for maximum impact. Stay up to date with latest design patterns and AWS services with respect to Machine Learning Engineering. Partner with data architecture, data governance, and security team to ensure solutions meet required standards. QUALIFICATIONS: Masters degree in Computer Science, Software Engineering, or related field required 5+ years of implementing software product solutions in a cloud environment with a focus on algorithmic/machine learning products. Expertise in AWS cloud services Expertise in Python, SQL, PySpark, Docker Experience with streaming and batch data architectures at scale Experience operating in an Agile Methodology environment. Experience with DevOps and CI/CD concepts Excellent communication and teamwork skills Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology |
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| Tue Dec 12 03:07:00 UTC 2023 |