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With a team of professionals who combine experience, creativity, and commitment, we are a Microsoft consulting firm in full international expansion.. We have an important presence at national level, accompanied by a growing international expansion, being already in the USA and Qatar, we have developed projects for clients of all sorts of industries, solutions, and geographies, such as John Deere, Avangrid, Burger King, Merz Aesthetics or Ferrovial, among many others.. Knowledge and experience with Scikit-Learn, Tensorflow, PyTorch, XGBoost.. (Desirable) Experience with Databricks.. We do not differentiate between race, color, religion, age, sex, nationality, disability, genetics, sexual orientation, gender identity or expression or any other characteristic protected by federal, state or local legislation when incorporating new professionals into our company.
Sr Machine Learning Engineer - Fintech Foundation (100% Remote - USA). Join to apply for the Sr Machine Learning Engineer - Fintech Foundation (100% Remote - USA) role at Hopper. More than 100M monthly active users are exposed to our products through our mobile app and a growing list of partners such as CapitalOne, Air Canada, and Spirit Airlines.. We help our product teams deliver new fintech products to market faster, respond rapidly to changing market conditions, run continuous champion-challenger testing on product construction levers, and maintain our growing portfolio of pricing models across dozens of partners.. Get notified about new Machine Learning Engineer jobs in Washington, DC.
This hybrid role includes supporting cloud security engineering as well fulfilling the duties of an Information System Security Officer (ISSO) to support Authorization to Operate (ATO) activities, security documentation, and ongoing system monitoring.. Experience with cloud-native logging, monitoring, and SIEM integrationExperience with performing ISSO responsibilities within federal government programs.. Strong scripting experience in Python, Bash, or PowerShellCodePipelineStrong experience with DevOps tools such as Jenkins or Proficiency with Linux/Windows server environment and cloud networking concepts (e.g., DNS, VPC, VPN, etc. Familiarity/experience with artificial intelligence (AI) cloud tooling is a huge plus (e.g., Amazon, BedRock, Lex, Comprehend, etc. Our team of experts—skilled in cloud computing, artificial intelligence, machine learning, data science, DevOps, and engineering—brings deep experience in solving complex challenges.
The ideal candidate will have experience working with Google Kubernetes Engine (GKE), Apache Spark, Dataproc, Terraform, Vertex AI, and Airflow (Cloud Composer) to ensure scalable and efficient AI/ML operations. LLM & AI Model Deployment: Deploy, optimize, and scale Large Language Models (LLMs) and other AI/ML models using Hugging Face Transformers, OpenAI API, Google Gemini, Meta Llama, TensorFlow, PyTorch. Data Engineering Pipelines: Design and manage data ingestion, transformation, and processing workflows using Apache Airflow (Cloud Composer), Spark, Databricks, and ETL pipelines. 3+ years of MLOps/DevOps/Data Engineering experience, with expertise in Google Cloud Platform (Vertex AI, Dataproc, BigQuery, Cloud Functions, Cloud Composer, GKE). Hands-on experience building AI/ML pipelines and data engineering workflows using Apache Airflow (Cloud Composer), Spark, Databricks, and distributed data processing frameworks.
The Data Scientist will participate as a key team member in envisioning, designing, coding, testing, and improving the algorithms that are central to our mission as a company.. Actifai is part of Foundry.ai, a technology fund/studio that creates AI software companies in partnership with large global enterprises.. Foundry is backed by approximately $100MM in capital from leading private equity and venture capital partners.. Well-rounded top performer who is able to “crunch the numbers” one minute, and critically think through strategic issues the next.. Exceptional computational background (e.g., developed new algorithms and/or has a relevant PhD).
Our patented technology is based on over 11 years of research at the California Institute of Technology and NASA Jet Propulsion Laboratory.. Leverage integrations with big data frameworks (e.g. Databricks) as needed to develop solutions for customers.. 3+ years of experience with Python Data Stack: pandas, numpy, sklearn, TensorFlow, PyTorch, matplotlib, etc.. and web-app development stacks (e.g. Flask/Django). Our benefits include highly competitive pay, equity, fully paid health, vision, and dental insurance for you + your dependents, and unlimited PTO.
Advanced knowledge of AI/ML, NLP and Generative AI. Hands-on experience design, developing and deploying AI/ML. Expert proficiency in Python data science development.. Advanced experience with Natural Language Processing (NLP). popular AI/ML frameworks such as Transformer, Scikit-learn,
DECipher is an AI-powered platform developed by the Institute for Development Impact (I4DI) to help global development professionals access and interpret decades of USAID-funded learning.. It draws from one of the largest public document archives in international development, transforming raw PDFs into structured insights using modern machine learning techniques.. Develop and manage text extraction workflows using Python and NLP tools. How NLP systems are adapted to real-world, domain-specific use cases. Current student, recent graduate, or early-career professional with experience in Python and interest in NLP, machine learning, or data engineering
Programming proficiency in cloud data ecosystem using Python, R, or Scala (min 2 years). 2+ years utilizing large-scale Analytic/MPP data warehouse platform (Redshift, Snowflake, databricks, etc.). Highly proficient in engineering data pipelines using big data tooling (Spark, Hudi, Kafka). Highly proficient working in AWS cloud environment (S3, Cloud Formation, RDS, AWS Glue, Athena, EMR, Kinesis, Redshift, MWAA). Exposure and experience with multiple platform stacks and tooling (Snowflake, DBT, Airflow Orchestration, etc.)
We are seeking a versatile and results-driven Data Engineer to join the USDS Cyber Defense & Engineering team at TikTok. In this role, you'll collaborate with cross-functional teams across regions to develop innovative solutions that strengthen the security and privacy of our users, helping make TikTok the most trusted platform.. U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained.. TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.. At TikTok, our mission is to inspire creativity and bring joy.
Metric5 is seeking a Data Engineer/Architect (RPA & AI) for an upcoming opportunity.. Design, build, and maintain scalable data pipelines and robust database solutions (SQL, NoSQL) to support the enterprise RPA and AI program.. Collaborate with business analysts and RPA developers to provide the necessary data infrastructure for automating complex processes involving data manipulation, data mining, and data validation.. Hands-on experience with cloud data services (e.g., AWS RDS, S3, Glue, Redshift or Azure SQL Database, Data Factory, Synapse Analytics).. Experience supporting an RPA program or working with RPA platforms (e.g., UiPath).
PRISM integrates advances in genetic cell barcoding, multiplexed expansion microscopy, and ML reconstruction to solve key bottlenecks in data acquisition and analysis.. Deploy developed models in large cluster or cloud environments to apply them to imaging volumes of hundreds of TBs and PBs in size. PhD in computer science, machine learning, applied math, computational biology or a related field in science and/or engineering or PhD-equivalent publication history. Collaborated with academic and industry experts on scaling up ML segmentations solutions (i.e. Volara) to work on datasets of hundreds of TBs or PBs. This position is structured for fully remote work, with in-office visits for quarterly planning and adhoc hackathons.
Our group works enterprise wide to support the development and application of data infrastructure and methods for quality measure development and implementation, quality improvement, program evaluation, and data visualization.. Steward data security throughout all aspects of our projects by use of procedures and best in concordance with our data governance policies' legal and ethical requirements.. The most relevant degrees include Statistics, Biostatistics, Data Science, Computer Science, Epidemiology, and Mathematics.. Data engineering and software engineering skills such as automation, data pipeline orchestration, data modeling, use of Databricks and related tools, etc.. Mastery of core statistical concepts as well as knowledge of quality measure risk-adjustment, reliability, validity, and machine learning.
The Chief Digital and Artificial Intelligence Office (CDAO) is a Principal Staff Assistant (PSA) responsible for the acceleration of the adoption of data, analytics, and Artificial Intelligence (AI) to generate decision advantage across the Department of Defense (DoD).. Whether you're a seasoned engineer, research scientist, or technologist passionate about building real-world AI capabilities, we invite you to join our talent pipeline and explore impactful opportunities that directly support the Department of Defense (DoD).. Artificial Intelligence & Machine Learning: Development, deployment, and optimization of AI/ML models for real-world mission use cases.. MLOps & Data Engineering: Automating and optimizing ML pipelines, model deployment, and data infrastructure at scale.. AI Policy, Ethics, & Assurance: Applying responsible AI frameworks, fairness audits, and model risk evaluation.
Join to apply for the Senior Big Data Engineer role at Relativity. 4+ years of experience building commercial-grade systems in a SaaS or tech environment.. Experience with microservices, container orchestration (Kubernetes), and CI/CD practices.. Experience with Spark (PySpark or Scala) or DataFusion (Rust) and columnar table formats like (Delta or Iceberg).. Get notified about new Big Data Developer jobs in Washington, DC.
7–10 years of hands-on experience in areas such as personalization, ranking systems, search technologies, natural language processing (NLP), deep learning, and other core machine learning methodologies.. Familiarity with cloud-native platforms such as Google Cloud Platform (GCP), AWS, and Vertex AI is a plus.. Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. Traumatic brain injury
Weber Shandwick is seeking a talented Data Scientist to join our team in Washington, DC. You will be joining a team of business strategists, data analysts, data scientists and data engineers to build innovative data solutions.. The Data Scientist will design, build, test, and implement data solutions that support clients' Enterprise Analytics teams as well as Weber Shandwick's internal strategy, creative and media planning teams.. Design and build innovative analytics solutions, utilizing statistical and machine learning algorithms (multivariate regression, factor analysis, cluster analysis, time series analysis, survival analysis, Markov chain, NLP, network graph analytics).. Proficiency coding in Python, R or equivalent. If you need an accommodation to participate in the application process, please contact us at This email address is not for general employment inquiries or vendors; rather it is strictly for applicants who require special assistance accessing our employment website.
CACI is seeking an experienced Data Scientist supporting the Army DCS, G-6, Network Command, Control, Communications, and Computers (C4) Services Integration (NC4SI) Directorate in support of a Task Order - G-6 Network Plans & Enterprise Information Environment Mission Area (EIEMA) Management.. Proficiency in data science tools, programming languages (Python, R, SQL, Palantir Ontology, Palantir Data Marketplace), and frameworks.. Proven ability to design, develop, and optimize Vantage environments for machine learning, predictive data analysis and visualization.. Familiarity and proven track record of deploying ensemble predictive ML models, neural networks, LLM vectorization and customization.. Ability to ensure data integrity and security within Vantage systems.
Assistant Vice President, Human Resources at the Association of American Railroads DATA SCIENTIST/DATABASE ADMINISTRATOR. The Association of American Railroads (AAR), the worlds leading railroad policy, research, standard-setting, and technology organization, is focused on enhancing the safety and productivity of the U.S. freight rail industry.. The Data Scientist is responsible for managingcloud database administration while demonstratingexpertise and proficiency in big data tools (e.g., SQL, Python, R, and SAS), along with a strong backgroundin data visualization for the AAR. This high-impact role will drive data analytics, automation, and storytelling to enhance AARs internal data capabilities and support key economic and policy analyses.. Experience with Microsoft Azure (Azure Functions, Power Automate, Data Factory, Synapse, SQL Server, or related cloud technologies) is strongly preferred.. Reporting to the Manager of Economic Analysis and Policy, thisrole is an exciting opportunity for a data-driven professional to shape AARs analytics and data infrastructure, ensuring that data science plays a critical role in advancing freight rail policy and economic research.
Lyric’s solutions leverage the power of machine learning, AI, and predictive analytics to empower health plan payers with pathways to increased accuracy and efficiency, while maximizing value and savings.. Lyric’s strong relationships as a trusted ally to customers resulted in recognition from KLAS as “true partner” and “excellent value for investment,” with a top score for overall customer satisfaction and A+ likelihood to recommend in their October 2023 Payment Integrity and Accuracy Report.. By leveraging advanced coding, analytic reporting, and predictive modeling, the Clinical Data Analyst - Staff uncovers actionable insights that drive innovation and improve outcomes across the organization.. Experience with data in Snowflake on Cloud Platforms. Experience using statistical computer languages (SQL, Python, R) to manipulate data and generate insights from large data sets