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Job Description :We are looking for a seasoned Machine Learning Engineer specialized in Large Language Models (LLMs) to drive the development and deployment of cutting-edge AI solutions.
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As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and generative AI. As a member of our team, you will exercise and grow your expertise in those areas, using open-source projects such as Apache Spark™, Delta Lake and MLflow.
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You will be responsible for building end-to-end machine learning solutions, implementing models in production, and working with various data frameworks and tools such as Python, Spark, and Databricks.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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About You:We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps.
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4- 8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit- Learn,or ML Lib for production or commercial products.
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Role: Sr. Databricks Engineer (Databricks + Spark + Azure)Location: New York / Iselin NJ / Charlotte NC (100% Onsite from Day 1 from any of these locations) Responsibilities. 5+ years of experience in data engineering with Databricks and Spark.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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By joining us as a Principal Machine Learning Engineer, Infrastructure (LLM), you will work on state-of-the-art systems, contribute to cutting-edge research, develop innovative algorithms, and play an essential part in Prescient Design's success.
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Experience with one or more SQL-on-Hadoop technology (HIVE, Presto, Spark SQL, Databricks) and Hadoop ecosystem. 15+ Years of IT experience, with 10+ years of experience as a Data Architect, data engineer or other data professional.
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Architect and implement scalable and efficient machine learning systems. Work closely with data engineers to ensure the availability and quality of data for training and evaluation of machine learning models.
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Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python. Hands-on production environment experience with distributed processing systems such as Spark. Contribute to maintaining, updating, and expanding the existing Data Capture platform including the Spark data pipelines while maintaining strict uptime SLAs.
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A Ph. D. in Applied Mathematics, Machine Learning, Computational Biology or Computer Science with emphasis on applications in molecular biology and/or computational pathology (required.
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machine spark jobs Title: machine learning senior engineer in Newark, NJ
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