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The team is an integral part of the wider Open Source community as well as working closely with our Pre-Sales team and our most strategic customers.. A Cloud Solutions Architect at Cloudera leads the adoption of Cloudera running on Public Cloud Platforms.. We specialize in running Big Data & Machine Learning workloads on AWS, GCP, & Azure.. Assist local account teams with your deep technical knowledge of running ETL, Analytical, Streaming, and Machine Learning workloads on Public Cloud infrastructure.. You have implemented data solutions on Public Cloud, leveraging solutions similar to EMR, HDI, Dataproc, Cloudera, Spark, Presto, SOLR, Elastic on Public Cloud( AWS,Azure & GCP)
Strategize: Think widely about potential applications of machine learning and natural language processing techniques, translating capabilities built for individual clients into new features or customization options for our core products.. Must hold an active Top Secret (TS) security clearance; TS/SCI strongly preferred. Familiarity with machine learning workflows and core data science concepts (e.g., classification vs.. We are a series D funded company with investors from Addition, USIT, Lux Capital, Amplify Partners, Addition Capital, Bloomberg Beta, and others.. This includes full medical, dental, and vision coverage, fertility benefits through Carrot, mental health coverage on demand with Headspace Care+, Gympass+ Membership via Wellhub, One Medical Membership, 401(k), remote work stipends, and monthly internet allowance.
The team is responsible for taking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product.. We are seeking a Research Engineer to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning.. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, JAX).. Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting.. Engineer IV, Analytical Biosensor Scientist
Capital One is looking for a Distinguished Engineer with extensive experience in data engineering, data architecture and data modeling to drive the design and implementation of a high performance data ecosystem that supports real-time, intelligent experiences to enable our Risk Management functions.. Hands on experience with AWS Cloud data technologies including RDS, DynamoDB, S3 and Glue ETL. At least 2 years of experience with ontology standards for defining a domain. At least 2 years of experience using Python, SQL or Scala. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.. We are looking for an experienced, self-motivated and aggressive Strategic Business Development Director for federal government accounts.. General Sales training scheduled by annual program or based on request from channel sales team. Experience with AI, Deep Learning, Omniverse, Machine Learning, Generative AI, Computer Vision, and Rendering is desired. Must have business acumen and ability to build business cases, communicate effectively with professionally done presentations and write-ups, influence others, and measure success
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Washington D.C., DC, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Addison, TX, USA; Miami, FL, USA; Reston, VA, USA; Seattle, WA, USA; Sunnyvale, CA, USA.. 10 years of experience in a statistical programming language (e.g., Python).. Experience in Artificial Intelligence applications (e.g., deep learning, natural language processing, computer vision, or pattern recognition), applied machine learning techniques, or using OSS frameworks (e.g., TensorFlow, PyTorch).. Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using Terraform).. You will be responsible to construct rapid prototype Generative AI applications tailored to Google Cloud customers, catering to a clientele ranging from early stage startups to prominent companies.
Youll be instrumental in the development of integrated data pipelines, cloud-native services, metadata management, and supporting self-service data products using platforms like Databricks, Microsoft Purview, Collibra, Informatica IDMC, and Power BI.. Develop ETL/ELT pipelines using Azure Data Factory, Databricks, Synapse, etc.. Proven hands-on experience in Azure Data Factory, Azure Synapse, Azure SQL, Databricks.. Familiarity with DevOps practices and CI/CD pipelines using Azure DevOps or GitHub Actions.. Skills: spark (pyspark or scala),sql,problem solving,python,data governance,pyspark,microsoft purview,etl,databricks,semantic layers,adf,data engineering,collibra,azure synapse,informatica,agile,azure databricks,azure devops,informatica idmc,power bi,azure data factory,github actions,ci/cd pipelines,azure sql,data catalogs
ANRA Technologies is looking for an experienced and highly motivated Golang/Backend Developer to join our dynamic international team of Engineers.. About ANRA ANRA Technologies, with offices in Washington DC, London, New Delhi and Estonia, is an international provider of drone operations and traffic management solutions for unmanned aircraft systems (UAS) operators and airspace managers.. We offer intelligent Machine Learning and AI driven traffic management software capabilities for UAS Traffic Management (UTM) and Urban Air Mobility (UAM) operations.. Translate software requirements into stable, working, and high-performance solutions. Work with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis)
You'll start out by running and maintaining pre-built notebooks, performing ad hoc data investigations, interpreting results, and flagging anomalies.. Master's degree required in quantitative field: epidemiology, psychology, health administration, public health, computer science, statistics, data science, economics, mathematics, engineering or related field.. Strong foundation in programming languages including SQL, Python, and R. Familiarity with programming notebooks (e.g., Jupyter, Databricks) and tools like Pandas or NumPy or similar.. Experience writing SQL to query relational databases (e.g., Athena, postgreSQL, MS Access).. Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Hospitals and Health Care Referrals increase your chances of interviewing at Mindoula by 2x Get notified about new Data Scientist jobs in Washington, United States.
Bachelor's degree in Political Science, Communications, Computer Science, Data Science, History, International Affairs, Social Work, Child Development, related discipline, or equivalent professional experience.. 4 years of experience in Trust and Safety Operations, data analytics, policy, cybersecurity, product policy, privacy and security, legal, compliance, risk management, intel, content moderation, AI testing or other relevant environment.. Trust & Safety team members are tasked with identifying and addressing major challenges to the safety and integrity of our products.. They utilize technical expertise, problem-solving skills, user insights, and proactive communication to protect users and partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. You are a strategic thinker and team-player with a passion for doing what’s right, working globally and cross-functionally to identify and combat abuse and fraud swiftly, promoting trust and ensuring user safety.. Define and execute prompt generation strategies to test product compliance, collaborating with RAI Testing Sustainability and Data Science teams, leveraging LLM-based prompt tools, and providing clear instructions to vendors.
JOB DESCRIPTION: Founded in 2015, Shield AI is a venture-backed defense technology company with the mission of protecting service members and civilians with intelligent, autonomous systems.. Its products include Hivemind Enterprise—EdgeOS, Pilot, Commander, and Forge—as well as V-BAT and Sentient Vision Systems (wide-area motion imaging software).. As a member of Behavior and Motion planning team, you will leverage your expertise in robotics and Reinforcement Learning (RL) to develop, deploy, and optimize models for autonomous systems that operate in complex, real-world environments.. Experience with RL frameworks (e.g., TensorFlow (C. Familiarity with CUDA
Location: Washington DC (Hybrid schedule - 3 days a week onsite) Also accepting applicants from Egg Harbor, NJ.. Expertise Areas: Program Management, Software Development, Independent Verification and Validation (IV&V), Artificial Intelligence (AI), Natural Language Processing (NLP), Machine Learning (ML), Robotics Process Automation (RPA), Enterprise Architecture, Data Analytics and Business Intelligence, and Cyber Security.. Integrate automated testing using frameworks like Karate and streamline manual testing for all releases.. Ability to write code efficiently and manage databases using tools like VB6.. Education: Position requires a BS/BA degree in Information Systems, Computer Science, Management Information Systems, IT Management, or similar discipline from an accredited university with 15 years of experience.
We’re seeking a Data Engineer to design and maintain robust, secure data infrastructure.. Optimize data processing and storage for both real-time and batch operations.. Ensure compliance with data governance and cross-domain security policies.. 4+ years in data engineering, preferably within secure or classified environments. Strong proficiency in Python, Spark, SQL, and orchestration tools such as Airflow
We're looking for senior full-stack developers to join our dev team and help us grow quickly.. Proven experience building and maintaining scalable web applications across the full stack (React, Node.js, SQL, AWS preferred).. Strong understanding of software architecture, APIs, and data modeling; able to design clean, maintainable systems.. Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.. Option to earn equity at a fast-growing startup
Maintain lineage documentation, update metadata repositories, and ensure data quality standards are upheld across all systems.. Build and optimize data pipelines (ETL/ELT) using tools such as dbt, Apache NiFi, SSIS, or custom Python/SQL workflows.. Proven experience with RDBMS (e.g., SQL Server, PostgreSQL, Oracle), NoSQL (e.g., MongoDB), and cloud platforms (e.g., AWS Redshift, Azure Synapse).. Experience with data integration tools and scripting languages (e.g., dbt, SSIS, Apache NiFi, Python).. Experience with data quality management, metadata cataloging, or data mesh architectures.
Oversee orchestration of AI components and services, including LLM APIs, vector databases, and external tools.. Design and build cloud-native, containerized infrastructure (e.g., Kubernetes, ECS, EKS on AWS, Azure, GCP) for deploying GenAI models and agentic systems at scale.. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.. Strong programming skills in Python is essential, with experience in relevant AI/ML frameworks (e.g., TensorFlow, PyTorch).. Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services (e.g., Amazon SageMaker, Azure Machine Learning, Google Cloud AI Platform, Vertex AI).
Demonstrate data governance, security , and performance optimization in Databricks. Migration of reports from OBIEE/Tableau into Databricks. Hands-on experience with cloud platforms – preferably Azure Databricks, but AWS or GCP is also valued.. Solid understanding of DevOps/CI-CD practices for Databricks using tools like Databricks Repos, Terraform, Git, and Azure DevOps.. Strong knowledge of data governance, security, and performance optimization in Databricks.
The Senior QA Engineer will work closely with cross-functional teams to implement data quality best practices, proactively identify and resolve data issues, and maintain high standards of data integrity and compliance.. Strong SQL skills and experience with relational databases (examples include Snowflake, SQL Server, Redshift).. Experience working with data visualization and BI platforms (examples include Tableau, PowerBI).. Experience working in cloud environments (such as AWS or Azure) and with data pipeline tools (such as Airflow, dbt).. Familiarity with data validation frameworks (e.g., Great Expectations, dbt tests) is a plus.
Maintain lineage documentation, update metadata repositories, and ensure data quality standards are upheld across all systems.. Build and optimize data pipelines (ETL/ELT) using tools such as dbt, Apache NiFi, SSIS, or custom Python/SQL workflows.. Proven experience with RDBMS (e.g., SQL Server, PostgreSQL, Oracle), NoSQL (e.g., MongoDB), and cloud platforms (e.g., AWS Redshift, Azure Synapse).. Experience with data integration tools and scripting languages (e.g., dbt, SSIS, Apache NiFi, Python).. AI and Data Business Architect, Business Solutions Commercialization Reston, VA $98,124.00-$166,810.00 1 week ago
AAP empowers mission teams to develop and operationalize both traditional and GenAI models through a unified environment that integrates Databricks, JupyterHub, AWS SageMaker, Bedrock, and other core services.. Support GenAI enablement by engineering reusable, secure pathways for customers to leverage AWS Bedrock and SageMaker for LLM-based applications.. Support platform-wide upgrades (e.g., Databricks E2), refactoring of inherited IaC, and improvements in CI/CD automation and monitoring.. Strong experience in AI/ML engineering, with significant hands-on experience using Databricks, JupyterHub, and AWS AI/ML services (e.g., SageMaker, Bedrock, Lambda, RDS, S3).. T-Rex has made a commitment to maintain the status of an industry leader in compensation packages and benefits which includes competitive salaries, performance bonuses, training and educational reimbursement, Transamerica 401(k) and Cigna healthcare benefits.