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The ideal candidate will have a strong background in predictive modeling, machine learning, and statistical modeling, with a keen interest in applying these skills to influence company-wide strategy and operations.
$130,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark.
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Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc.
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Bachelor’s degree with 5+ years of experience in designing, developing, and deploying machine learning models using Databricks, Azure ML, or Palantir. We have an immediate opening for an experienced AI/Machine Learning Engineer to work remotely, with the possibility of working onsite in Atlanta, GA at some point in the future.
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Strong data management and manipulation skills; Experience with VBA, Python or R programming language is a plus. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Proficiency in statistical programming languages such as Python, R, SQL required. Proficiency with Microsoft Office application. Proficiency in statistical programming languages such as Python, R, SQL required.
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Or R, LLM, Machine Learning, Data Science/Engineering is a plus. Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Desired Background PhD in Computer Science or related field 4-8 years of professional experience with relevant experience building and designing distributed data systems Knowledge of statistics, data science, AI/machine learning, big data management Strong proficiency in Python and an additional language (e.g., C.
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Hands-on experience with AI tools and frameworks, including LLMs, NLP (Natural Language Processing), and machine learning techniques. Team Leadership & Mentorship: Manage and mentor a t eam of solution architects and engineers, providing guidance on AI, DevOps, and cloud technologies, fostering a culture of continuous learning.
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Generate program interactive, SCORM-compliant webinars, micro-learning and full-length eLearning courses in eLearning authoring tools (e.g., Adobe, Captivate, Camtasia, Articulate Storyline) Create online, interactive training materials in various formats, such as printable job aids, instructor-led (virtual and in-person), micro-learning, videos, and eLearning courses.
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Training in software, such as Stata, R, Python, SQL, Julia or Matlab. Stata, R, Python, SQL, Julia or Matlab). What opportunities are there for career development and continued learning.
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Coordination of reoccurring investor reporting needs, inclusive of bespoke client requests and regulatory reporting. BlackRock Private Markets - ACP Investor Services Analyst. To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
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Experience with AirFlow, Beam, Spark, BigQuery and other cloud based and distributed technologies to scale machine learning models and workflows will be an asset. Experience with various supervised and unsupervised machine learning methodologies in areas common to the business such as anomaly detection, time series forecasting, clustering, event prediction, and other areas.
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machine learning r python jobs Title: application developer in Atlanta, HI, Canada
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