Fetching information
Preparing content
We are seeking an experienced Artificial Intelligence (AI) Tester to join our team. Skilled in AI development frameworks such as TensorFlow, PyTorch, scikit-learn, and/or Keras.. Understanding of and experience in machine learning and artificial intelligence testing.. Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military).. Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development.
A fast-growing, mission-driven tech company in the behavioral modeling and personalization space is seeking a Senior Staff/Technical Lead Machine Learning Engineer to join and lead a team. Hands-on experience with orchestration tools ( Airflow , Bazel ), data infrastructure ( Spark , SQL , Scala , or Python ). Familiarity with cloud platforms (AWS, Databricks) and ML tooling (MLFlow, TensorFlow, Kubernetes). Fully Remote (with hybrid options in Boston, SF Bay Area, Seattle, NYC).. Machine Learning Engineering, AdTech, Personalization, Recommender Systems, MLOps, CI/CD, Airflow, Spark, Python, AWS
We are looking for a Principal Data Scientist to join our Government Consumer Analytics team at CVS Health. 8+ years' experience solving analytics problems using advanced statistics, machine learning, mathematical algorithms and predictive modeling.. 8+ years' experience with: Python, SQL, Cloud applications (GCP, AWS, Azure), machine learning, casual inference and experimental design.. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
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.. Experience in leading business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and cloud applications at scale.
A&BC leverages advanced analytics, machine learning, modeling, and a hypothesis-driven approach to quickly transform data into actionable, customer-centric insights to drive growth, improve health outcomes and access to health care across all of our businesses in CVS Health.. Define data science initiatives by utilizing data mining, data modeling, large language models, and machine learning techniques to extract data from multiple sources and deliver predictive models that inform solutions. 7+ years' experience with statistical concepts and advanced analytic techniques, such machine learning models (e.g., linear regression, tree-based non-linear, time series, random forests, natural language processing (NLP. Proficiency with Google Cloud Platform (GCP) tools, including BigQuery, Vertex AI, DataProc, and Cloud Composer. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
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
As a Principal Product Manager at Epicor, you will lead the strategic direction and execution of our AI-powered products and solutions across our Cognitive ERP portfolio. Supporting go-to-market strategies by working with Product Marketing to develop positioning, demos, enablement materials, and customer references. Experience leading cross-functional teams across engineering, UX, marketing, and data science. Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Exposure to ETL pipelines, data engineering concepts, and supporting infrastructure.
:)WHAT YOU WILL DO- Ingest, structure, and analyze a wide range of unstructured data sources;- Design, maintain, and orchestrate data pipelines in an AWS environment for both production processing and training flows;- Continuously evaluate, test, and improve the quality, privacy, and performance of our data systems;- Contribute across the product — from front-end UX and product design to API/systems architecture and ML processing/training.. NICE TO HAVES- Experience in the healthcare domain is a plus;- Extensive production experience with AWS, containers, and/or data orchestration tools;- MLE experience (e.g., PyTorch, scikit-learn, etc.). ;- Full-stack development experience (especially with JS/TS/Node);- Proven experience in similar roles at startups or consultancies.. - A selection of exciting projectsJoin projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.. - FlextimeTailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Are you a System Administrator who is interested in developing your skills and deepening your experience related to Artificial Intelligence (AI)/ Machine Learning (ML) and Data Science (DS)?. Come support a major program advancing the state of the art in mission-focused big data analytics and predictive analytics.. You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights.. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely.. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Candidates should have demonstrated excellence in research incorporating ML/AI, and strong fundamental training in environmental engineering/science, hydrology, atmospheric science, environmental chemistry/microbiology, or related discipline.. We are specifically seeking candidates in three thrust areas: Systems Analysis and Optimization for Sustainable Water, Environment and Natural Resources Management : The challenges of future climate change, population growth, megadroughts and extreme events, water scarcity, decarbonization, and zero waste, require advanced systems analysis methodologies for managing complex human-natural coupled systems operating at the margins of sustainability.. Harnessing Big Data, Artificial Intelligence/Machine Learning/Deep Learning for Climate Change Adaptation and Resilience : Large volumes of historical simulations and future climate projections are available from a wide range of climate and environmental models.. Simultaneously, the abundance of data streams generated by satellite, airborne, and drone-based remote sensing and in-situ sensor systems holds enormous promise for real-time environmental monitoring.. Simultaneously, Machine Learning and Artificial Intelligence based computational toxicology methods are demonstrating promise in meeting the principles of the 3R's concept, especially replacement of animal testing.
Piper Companies is seeking a Data Engineer to join an established healthcare tech organization located in Maryland.. HYBRID (4 days REMOTE, Thursday on-site in Columbia, MD).. Requirements: Design, build, and maintain large, complex data processing pipelines that meet business requirements.. Experience in Databricks and Azure Data Factory.. #LI-HYBRIDKeywords: Data Engineering, Data Engineer, Databricks, Python, PySpark, ETL, Big Data, Apache Spark, Data Warehousing, SQL, Cloud Computing, Data Pipelines, Machine Learning, Data Lakes, Hadoop, Scala, Data Integration, Data Transformation, Data Modeling, Analytics, AWS, Azure, GCP, Data Governance, Performance Optimization, Data Security, Data Quality, Workflow Automation, Real-time Data Processing, Batch Processing, Data Visualization, Business Intelligence
Database Management : Manage a variety of database technologies including PostgreSQL, SQL Server, Hadoop, Spark, MPP, and NoSQL platforms.. ETL Development : Create and maintain ETL pipelines using Python, SQL, and orchestration tools such as Apache Airflow to integrate internal and external data sources.. Expertise in database technologies: PostgreSQL, SQL Server, Hadoop, Spark, MPP systems, and NoSQL platforms.. Experience with data modeling tools (e.g., SQL Power Architect) and orchestration platforms (e.g., Apache Airflow).. Proficiency in implementing data governance, metadata standards, and data security best practices.
We’re looking for a Lead Data Scientist with deep technical expertise and strong communication skills to lead end-to-end AI/ML projects for top-tier clients across marketing, customer experience, and business process optimization and operations.. Design and oversee robust data pipelines using SQL, Spark, and cloud platforms (AWS, GCP, Azure).. Architect and implement solutions involving LLMs, transformer-based models, and AI agents for generative tasks and automation.. Proficiency in Python (and optionally R or Scala), including libraries like scikit-learn, TensorFlow, PyTorch, etc.. Strong SQL and data engineering skills; Spark/Databricks experience is a plus.
Description: The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking an individual with a strong working knowledge in software engineering, artificial intelligence, machine learning, reinforcement learning, and generative AI to support the LAIC Applied AI team and product portfolio, focusing on Mission Management programs.. Experience with 3D simulation platform such as Gazebo, Unreal Engine, Unity, etc.. Experience with various scientific computing libraries (NumPy, OpenCV, Scikit, or Pandas, etc.). Experience with managing Kubernetes container orchestration platforms including Rancher or OpenShift. Familiarity with cloud platform management and provisioning including AWS GovCloud or Microsoft Azure
We’re looking for a forward-thinking Systems Engineer with a passion for data science, machine learning, and advanced analytics.. Apply natural language processing (NLP) and machine learning (ML) to solve mission-critical challenges.. Strong background in data science, including NLP and ML techniques.. Proficiency in Python and/or R, with hands-on experience using TensorFlow, PyTorch, or similar frameworks.. Cutting-Edge Tech: Dive into real-world applications of AI/ML in complex engineering environments.
About the Role: Join our team as an experienced Senior Data Scientist to extract valuable insights from complex datasets and apply advanced analytical and machine learning techniques to solve critical business problems within an AI tech company context.. Minimum 6 years of experience in data science, statistical analysis, or machine learning.. Proficiency in programming languages such as Python or R, and extensive experience with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is often preferred for senior roles.. Associate Director, Data Scientist & Data Operations Washington DC-Baltimore Area $220,000.00-$230,000.00 3 weeks ago
Must be able to obtain a Public Trust Clearance. Apply Business Process Management (BPM), general business processes and operations for organizational processes analysis/modeling. Apply Business Analytics (BA) and Business Intelligence (BI) methods/tool for data analysis, applying cognitive technologies, predictive modeling, and relevant services.. Develop data driven Customer Relations Management (CRM), UI/UX requirements and design. Knowledge and experience of emerging technologies such as machine learning (ML), artificial intelligence (AI), natural language processing (NLP), UI/UX, Python, and business intelligence tools such as Tableau.
Utilize AWS services and tools, including DBT and AWS Astronomer. Deep expertise in PySpark, Apache Spark, and Python. Proficient with SQL and NoSQL databases (e.g., DB2, PostgreSQL, Snowflake). Experience with DBT and AWS Astronomer. Skills: pyspark,docker,leadership,apache airflow,pipelines,sql,aws,etl pipelines,kubernetes,apache,cloud,nosql,apache spark,cd,big data,lead pyspark developer,data modeling,dbt,devops,python,ci,ci/cd,data
Apply technical knowledge to architect solutions that meet business and IT needs, create Data Platform, AA/AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics technologies where appropriate (e.g. Azure ML, Database Platforms, Big Data, Data Lake, Azure Databricks, Azure Synapse, etc. SQL platforms including SQL Server (Database/Analysis Services), Azure SQL DB, OSS Databases (PostgreSQL), ETL/ELT systems. Big Data platforms including SQL DW (Synapse), Snowflake, Redshift, Spark (EMR/HDInsight). Advanced Analytics, including Azure Databricks. Professional Cloud Certification in one or more of the following technologies: Cloud, Database, Big Data, BI, Data Science, Machine Learning, Artificial Intelligence.
We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. The Data Operations Group at Eisai, Inc. is looking for a Director - Data Scientist/Programmer to drive drug development through predictive modeling of disease and drug response. NLP & LLM: Apply NLP techniques and LLMs to analyze unstructured data and generate visual insights. Pipeline Orchestration & Automation: Automate data workflows using tools like Apache Airflow, Prefect, and Dagster. Familiarity with big data tech (Hadoop, Spark) and cloud platforms (AWS, Azure).