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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.
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
Job Title: Machine Learning Engineer. Intelligent Automation, Inc. (IAI) is looking for a junior to mid-level team member to contribute to a variety of machine learning, deep learning, and big data projects.. Related projects at IAI include multi-sensor fusion, information retrieval in big data applications, sensor simulation, text mining, image and video processing, and constrained optimization.. Develop algorithms and conduct analysis using state-of-the-art machine learning/artificial intelligence tools across different domains.. Nor will BLOCKCHAIN TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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.
3+ years of experience working in Spark, Hadoop and Big Data experience. 3+ years of experience working on Spark SQL, Streaming and data frame/dataset API experience. Deep understanding of Hadoop / Cloud platforms, HDFS, ETL/ELT process and Unix shell scripting. 3+ years of experience working with Relationship Database Management Systems (RDBMS) such as SQL Server, Oracle or MySQL. 3+ years of experience with SQL & NOSQL database integration with Spark (MS SQL server and MongoDB)
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.
AI/ML Network Infrastructure EngineerJob Category: EngineeringTime Type: Full timeMinimum Clearance Required to Start: TS/SCIEmployee Type: RegularPercentage of Travel Required: Up to 10%Type of Travel: Continental US. CACI is seeking a cleared Senior Engineer with experience in AI/ML and Network Architecture for our Aberdeen Proving Ground Team. As a member of the team, you will get to apply artificial intelligence, machine learning and big data algorithms and technologies to software defined radios, network architecture, network traffic, and SIGINT frameworks.. - We offer competitive benefits and learning and development opportunities.. - We are mission-oriented and ever vigilant in aligning our solutions with the nation’s highest priorities.. - For over 60 years, the principles of CACI’s unique, character-based culture have been the driving force behind our success.
Principal Machine Learning Data Scientist - Gen AI. Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents.. Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities.. Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development.. Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.
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.
Job Title: Machine Learning Engineer. Intelligent Automation, Inc. (IAI) is looking for a junior to mid-level team member to contribute to a variety of machine learning, deep learning, and big data projects.. Related projects at IAI include multi-sensor fusion, information retrieval in big data applications, sensor simulation, text mining, image and video processing, and constrained optimization.. Develop algorithms and conduct analysis using state-of-the-art machine learning/artificial intelligence tools across different domains.. Nor will ETHEREUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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.
The IS Manager is expected to lead and manage the development, deployment, and support of new and existing capabilities as it relates to artificial intelligence and business intelligence software, services, and platforms and integrated systems/solutions to meet the current and future needs of the business.. Provide input to assist the Delivery Manager to implement Best Practices, SDLC standards, and champion ongoing process improvement initiatives to implement best practices.. Act as technology owner, accountable for development and configuration implementation of capabilities related to data science, machine learning, Salesforce, Snowflake, Google Cloud Platform, Elasticsearch, and other related platforms. Experience working in an offshore/onshore collaborative environment. Software development or data science hands-on experience – a plusSalesforce, Snowflake platforms – a Plus
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.
The Data Scientist may utilize Deep Learning and Machine Learning models for production or solutions.. When required, complete model risk management documents.. Serve as a data subject matter expert, improve data literacy, and act as a data consultant for assigned areas of the business.. Utilize publicly available machine learning or deep learning tools such as TensorFlow, Keras, Scikit-learn, NLTK, etc.. 2 or more years experience with TensorFlow, Scikit-learn, Keras, Torch, or NLP libraries.
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).
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