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We are currently sourcing for a Lead Software Engineer, Machine Learning to work at Fidelity Investments. As a Machine Learning Engineer, build and maintain large scale ML Infrastructure and ML pipelines.
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Drive cross-functional collaboration across our data science, machine learning, lab informatics, and medicinal chemistry teams to advance our computational infrastructure for our drug discovery and development mission.
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Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
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Should have a strong background in at least two of the following areas: Algorithm Development, Machine Learning/AI and Data Analysis, Mathematical Modeling and Simulation, Digital Signal Processing, Control Algorithms Design.
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Create detailed mobile software development documentation and assist in assigning tasks to team members.
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We are looking for a rock star to join our team as a Machine Learning Engineer focused on protein design. To be effective in this role, you will need to be exceptional in structural biology, biophysics, and machine learning engineering.
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Minimum 2 years of experience with large-scale data processing platforms such as Spark, EMR, and/or HPC computing experience with e.g. Apache Aurora, Slurm. Helps grow and mentors team members on the fine art of data engineering and software abstractions.
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Experience with big data skills (Hadoop, Apache stack), Cloud native DB (Databricks, Snowflake), and visualization tools (Tableau/PowerBI) is a plus. Experience in any of the following is a plus: ETL/ELT, data warehouse design, DB design/data modeling, web services (REST API), MQ, streaming data processing, and microservices.
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We are seeking an experienced, hands-on Principal Engineer with a strong background in Machine Learning applied to complex spatial computing, image and video processing, and visualization applications.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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The successful candidate will have demonstrated leadership skills and expertise in areas such as: RF, radar, communications systems, analog and digital signal processing, software-defined radios (SDRs), FPGA firmware and hardware development, microcontrollers and embedded processors, physics modeling and simulation, systems engineering, and test & evaluation.
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As a Software Engineer you will help develop computer vision and image processing algorithms to work with our engineered meta-optic camera systems. Optimize machine learning model implementations and inference timesWork withTFLite, SNPE, or other embedded deep learning libraries Quantize and tune model architecture, speed, and performance whilemaintainingtask performance Participate in rigorous benchmarking and analysis across model classes Deploy to mobile hardware running Android.
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As a frontend engineer you will work on our customer-facing software to enable our expanding array of industry revolutionizing application and machine-learning capabilities.
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Data Science, Analytics, Big Data, Marketplace, IoT, Training, EdTech, Artificial Intelligenc, Machine Learning, Deep Learning, AI, Talent Cloud, Talent on-Demand, Skills Taxonomy , Upskilling, HR Tech, and Recruiting.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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machine learning software engineer data processing big jobs Company: Lyft in Boston, MA
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