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Analyzes and models structured data and implements algorithms to support analysis using advanced statistical and mathematical methods from statistics, machine learning, data mining, and predictive modeling.. Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud, and Databricks).. Experience with Linux and familiar with concepts of HDA, slate, and docker.. Level II Data Scientist is highly skilled across multiple Data Science disciplines.. Proficiency in data analysis and visualization tools (e.g., Python, SQL, Tableau).
Highly skilled full stack Java/Oracle Developer with over 10 years of experience in designing, developing, and maintaining enterprise-level applications.. Expertise in Java, Spring Boot, Oracle SQL, PLSQL, and microservices architecture.. Define and manage database schemas in Oracle and BigQuery.. Proficiency in machine learning frameworks like BigQuery ML (BQML), TensorFlow, Scikit-Learn, and. Experience with Google Vertex AI and Gemini AI for AI-driven applications
In the outskirts of Mexico City, he combined his background of agricultural research and theoretical knowledge with careful experimentation and diligent data collection to run over 6,000 experiments - and he was ultimately successful, kicking off the “Green Revolution” that increased global crop yields by an estimated 44% and earned him a Nobel Prize.. You will develop various skills as a full-stack Data Scientist working on projects end-to-end and build deep domain expertise in the intersection of Data Science and Product.. Use a variety of exploratory, data visualization, and statistical techniques to uncover actionable insights, including A/B testing, cohort analysis, regression modeling, trend analysis, user segmentation, and machine learning.. Have fluency in SQL, and other statistical programming languages (e.g. Python, R, etc. Have experience building scalable data pipelines and ETL processes with DBT and understand different database structures.
As part of our team, you'll also get to participate in our unique monthly Chess Hackathons-an event that brings together engineers and users to collaborate, solve challenges, and learn in a friendly, competitive setting.. Our Chess Hackathons are a cornerstone of our culture.. During these events, we reference chess concepts as a foundation for problem-solving and strategy-building, drawing parallels between the moves on the board and innovative solutions in AI. Whether you're a seasoned chess player or a complete beginner, these sessions are a fantastic opportunity to connect with our user community, build camaraderie, and test new ideas in a dynamic environment.. Essential)Machine Learning/Data Science: Understanding of mathematics and statistics is a plus.. Join our team as a PyTorch Engineer, and be part of a vibrant culture that values collaboration, continuous learning, and innovative problem-solving through our monthly Chess Hackathons.
Responsible for solving business problems by leveraging techniques such as machine learning, segmentation, optimization, and advanced analytics.. Develops models to inform strategic marketing initiatives.. Bachelor’s degree in a quantitative field such as Statistics, Computer Science, Engineering, Data Science, or related fields. Experience in the gaming industry is a plus. Proficiency in SQL and Python, as well as machine learning (e.g. XGBoost, LightGBM, Scikit-Learn) and analytical libraires for analyzing and modeling data
Build and train deep learning models (e.g., YOLO, RT-DETR) for object detection and classification. Fuse data from RGB, thermal, LiDAR/ToF, IMU, and encoder sensors for real-time perception. Implement advanced image processing (deconvolution, motion isolation, low-SNR detection). 3–6 years of experience in computer vision, robotics perception, or sensor fusion. Hands-on with TensorFlow, PyTorch, and real-time inference tools like TensorRT or OpenVINO
For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management.. As a Senior Software Engineer on our Trading Platforms Engineering team, you will be developing the company's production trading systems and the data pipelines that drive our machine learning in both production and research.. Build and optimize large-scale data infrastructure and stream processing systems for historical and real-time machine learning feature pipelines (Python/Airflow/Go/beam). Expertise in building and optimizing data pipelines (e.g., Apache Airflow, Spark, Kafka). Exposure to modern Python data science tooling.
offering managed, cloud-scale Spice.ai OSS along with tools for high-performance SQL, machine learning training, and inference in an interconnected AI backend-as-a-service. Experience with Databricks, Snowflake, Starburst, Dremio, and related products. Familiarity with big data processing frameworks like Apache Spark, Hadoop MapReduce, and Hive. Relevant technical certifications, including those for Databricks, AWS, Snowflake, and/or similar data platforms and technologies. Before co-founding Spice AI, Luke was the co-creator of Azure Incubations in the Office of the Azure CTO, where he led cross-functional engineering teams to create and develop technologies including
Security Clearance: Qualification to acquire and retain DoD Secret Clearance or Agency Public Trust. AI , we are passionate about transforming the future with cutting-edge artificial intelligence We help companies streamline operations, enhance customer experiences, and drive innovation.. Weare seeking a strategic, client-facing AI Strategy & Enablement Consultant to lead discovery workshops , guide executive stakeholders , and support pre-sales engagements with the goal of accelerating adoption of AI and digital solutions This role is ideal for a consultative professional who thrives at the intersection of business strategy, technology education, and solution shaping.. Experience Minimum of 3-5 years of experience in strategy consulting with a focus on business strategy and digital transformation.. Strong understanding of enterprise AI concepts, including machine learning, deep learning, neural networks, natural language processing, and automation concepts; ability to simplify technical topics for business leaders
As a Principal Machine Learning Engineer, you'll be building deep learning models and algorithms to solve computer vision problems across Roblox. With daily active users growing at a record rate, we are looking for experienced machine learning engineers who are passionate about designing and building deep learning solutions to power Roblox's products. MS or PhD degree in Computer Vision, Deep Learning, or a related field. Versatile: You're a jack of all trades and you have mastered several languages and technologies already; you can easily adapt to any situation. All full-time employees are also eligible for equity compensation and for benefits as described on this page
As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.. Design, develop and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals, such as ads click (pCTR), app-install optimization, ROAS optimization, retention, etc.. Solid theoretical background in machine learning and/or data mining.. Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc. Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc
We are seeking a full-time Research Scientist in Artificial Intelligence (AI) to join our team which is at the forefront of developing new tools, standards, and guidelines for managing and sharing reusable research data and other research outcomes. Currently has, or is in the process of obtaining, a PhD in Computer Science, Mathematics, Computational Biology/Neuroscience, or related field with a strong emphasis on AI, Machine Learning.. Experience training machine learning models (e.g., with PyTorch, TensorFlow).. Experience with LLM models and frameworks (e.g., GPT, Llama, LangChain, DSPy).. Background in biomedical research or related field
Knowledge in protein biochemistry or antibody engineering is a strong plus.. Principal Scientist , Analytical Science LeadPrincipal Scientist, Computational Chemistry. Senior Scientist, Computational ChemistrySr./Principal Scientist, Computational Chemistry. Senior Principal Scientist, Development DMPK. Senior Scientist Translational Gene editing Development with AAV, Gene and Cell Therapeutics Platform Research OrganizationPrincipal Scientist/Director, Bioanalytical ChemistrySenior Scientist, Pharmaceutical Development CMC (CONTRACT)
Bachelor's Degree with machine learning focus in computer science, bioinformatics, computational chemistry, or a related field from a recognized higher-education institution and 7+ years of academic / industry experience.. OR Master's Degree with machine learning focus in computer science, bioinformatics, computational chemistry, or a related field from a recognized higher-education institution and 5+ years of academic / industry experience.. OR PhD with machine learning focus in computer science, bioinformatics, computational chemistry, or a related field from a recognized higher-education institution and 2+ years of academic / industry experience.. Ph. D. with machine learning focus in computer science, bioinformatics, computational chemistry, or a related field from a recognized higher-education institution.. Expertise in scientific programming languages (e.g., Python, R) and libraries (e.g., PyTorch, Tensorflow), cloud-based computing, and data manipulation.
You will work at the intersection of machine learning, computational social science, and AI reasoning to develop scalable solutions for complex real-world challenges. Key Responsibilities: Conduct research to explore, evaluate, and implement advanced machine learning methodologies, staying at the forefront of advancements in deep learning, LLMs, knowledge graphs, and computational social science. Build algorithms to detect and analyze emerging communities, echo chambers, and information bubbles. Hands-on experience with LLM prompting, fine-tuning, and application development. Proficiency in Python, with experience in deep learning libraries (PyTorch or TensorFlow).
EY delivers unparalleled cross functional tech consulting services in artificial intelligence, autonomous systems and modeling and simulation. Proficiency in deep learning, machine learning, and data architecture design. Focused on Business or Economics, Technology Entrepreneurship, Computer Science, Engineering, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.. Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases. Microsoft, Databricks, AWS, NVIDIA or Snowflake Certifications in the Data & AI domain
Job Title:Data Scientist – Machine Learning & Statistical Evaluation. This organization is scaling a proprietary large-scale LLM platform and is focused on building responsible, high-impact solutions for real-world business challenges.. This is a rare opportunity to join early as the first dedicated Data Scientist focused on experimentation, evaluation frameworks, and performance analytics.. Build reliable data pipelines and tooling for tracking performance, leveraging Python and scientific computing libraries. Advanced degree in Statistics, Data Science, or related technical field (or equivalent hands-on experience)
As a dedicated Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction.. Responsible for the team's model inventory and ensures compliance with USAA model risk policies and regulatory expectations.. 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis.. Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.). Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques.
As an AI Engineer at Tek Spikes, you will be at the forefront of developing innovative artificial intelligence solutions that enhance our products and services.. Stay current with the latest research and trends in artificial intelligence and machine learning technologies.. - Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field.. - Proficiency in programming languages such as Python, R, or Java, with experience using libraries like TensorFlow or PyTorch.. - Familiarity with cloud-based AI/ML platforms (Azure ML, AWS SageMaker, Google AI) is a plus.
The team is composed of experts in Cloud Computing using AWS, Databricks as well as analytics and visualization using QuickSight.. Skilled in AWS and Databricks for Big Data processing.. Key skillsets: Statistical analysis, machine learning, software development, code fluency (SQL, Spark, Python, R).. Machine Learning Techniques; Data Science; Analytical Thinking; Databricks Platform. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus.