Data Science & Machine Learning Jobs

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

Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. We are looking for a Principal Machine Learning Engineer to join our Models and Applications team. Experience with ML frameworks such as PyTorch, JAX, or TensorFlow. A Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.

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.

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.

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.

We are looking for a Research Scientist with deep expertise in quantized deep learning models for hardware acceleration in autonomous systems.. Research state of the art perception models in collaboration with the ADAS SW teams. Ph. D. or M.S. in Computer Engineering, Electrical Engineering, Computer Science, or related field with a focus on ML compilers, embedded systems, or hardware-aware AI. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and their low-level IRs or export formats (e.g., ONNX).. Familiarity with CUDA/OpenCL (or other accelerator programming models).

Work with the AI Platform team to stay abreast of the latest developments in machine learning and artificial intelligence, ensuring the company remains at the cutting edge of innovation. For this role, we are looking for 8+ years of experience leading teams in applied machine learning, AI, or data science roles, with a track record of delivering impactful software solutions. Advanced degree in computer science, data science, machine learning, or a related field is a plus. Experience in the Fintech industry or risk management domain is a plus. The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.

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

Develop AI-driven solutions: Apply state-of-the-art machine learning (ML), natural language processing (NLP), and deep learning techniques including LLMs to analyze vast structured and unstructured datasets, classify documents, extract insights, and detect nuanced patterns. 5+ years of industry/academic experience in software development, with a minimum of 2 years as a machine learning engineer, data scientist, or LLM specialist. Strong programming skills with experience in distributed cloud systems (GCP, AWS, Azure) and containerization technologies like Docker and Kubernetes. Experience with deep learning frameworks (PyTorch, TensorFlow), NLP models (transformers, BERT, GPT), Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs). Hands-on experience building and optimizing LLM-powered applications, vector search systems, and multimodal AI solutions

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

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)

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

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

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

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.

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.

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.

In addition, will oversee the implementation and management of advanced AI solutions inclusive of natural language processing (NLP), computer vision, and Generative AI. This will include vendor platform decisions and the engineering of AI environments in the cloud.. Expert knowledge with business intelligence tools, data warehousing applications, or statistical packages (i.e. Cognos, Business Objects, Informatica, SSIS, SAS, Python, SPSS, R) and the ability to program and manipulate complex datasets in relational databases is required.. Demonstrated proficiency programming PL/SQL, SAS, R, or other related languages is required.. Our more than 25,000 team members and more than 6,000 physicians aim to deliver transformative patient experiences and expert care close to home across more than 300 ambulatory locations and eight acute care hospitals – Edward (Naperville), Elmhurst, Evanston, Glenbrook (Glenview), Highland Park, Northwest Community (Arlington Heights) Skokie and Swedish (Chicago) – all recognized as Magnet hospitals for nursing excellence.. Mgr Analytics Consulting - People Analytics We’re unlocking community knowledge in a new way.

Senior Manager, Data Science - Model Risk Office. Leverage a broad stack of technologies — Python, Conda, AWS, Spark, and more — to reveal the insights hidden within data and build challenger models. Oversee development of benchmark and challenger models to stress test critical modeling decisions. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).

Come join our high performing team consisting of PhDs, machine vision and algorithm engineers building the next generation of AI enabled semiconductor inspection equipment.. Collaborate with KLA’s AI and HPC centers of excellence. Deep understanding and application knowledge on the machine learning and computer vision, familiar with major deep-learning architecture, like CNN, GAN, Transformer.. Familiarity with the major DL frameworks either TensorFlow or PyTorch. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers.