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Citian is a fast growing, venture backed SaaS technology company based in Washington, DC. Our software solutions revolutionize how our transportation systems roads, rail, transit, bicycle, pedestrian operate.. Citian is seeking to hire a Transportation Data Scientist who will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning.. The ideal candidate will exhibit excellent knowledge of the data science and data engineering disciplines with transportation industry experience, including working with large datasets in a Python/SQL environment.. Strong knowledge of Python, SQL, Python data science libraries (Pandas, Numpy, Scikit-learn, etc.). Opportunity to gain valuable experience and make a significant impact in a fast growing, venture-backed tech startup
As a Series-C unicorn startup, our headquarter nestles in the tech hub of Mountain View, California, with other offices in New York City and Seattle.. Develop highly scalable tools leveraging machine learning models to solve problems such as classification, clustering, topic modeling, natural language processing and recommendation.. Develop in-house machine learning tools and pipelines to support fast experimentation of machine learning models.. Experience in one or more of the following areas: machine learning, recommendation systems, deep learning, feed, relevance and data mining.. Experience with machine learning frameworks such as TensorFlow, PyTorch or MxNet.
Machine Learning Engineer vacancy in Washington USA. We are searching for a highly skilled and experienced Machine Learning Engineer to join our team in Washington.. As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing machine learning algorithms and models to solve complex problems in the field of biometric security.. Strong knowledge of various machine learning algorithms and techniques such as deep learning, natural language processing, and computer vision.. Familiarity with machine learning libraries such as TensorFlow, Keras, or PyTorch.
Leidos is looking for an Enterprise Architect to support a large U.S. Department of Justice (DOJ) program.. The Antitrust Division of the U.S. Department of Justice (DOJ) is responsible for enforcing federal antitrust laws and promoting fair competition in the marketplace.. Expertise in AI/ML technologies (e.g., TensorFlow, PyTorch, Scikit-learn, Keras) and understanding of deep learning and natural language processing (NLP).. Strong understanding of big data platforms such as Hadoop, Apache Spark, and data lakes.. Experience with data visualization tools like Power BI, Tableau, or Looker.
We're looking to hire a Machine Learning Engineer in our Modeling & Large Language Models team.. Experience building/refining/innovating deep learning models for Natural Language Processing, Computer Vision, or Speech Recognition. Experience building and improving LLM applications for processing semi-structured and structured data such as NL2SQL and graph-RAG. Experience with practical applications in NLP, esp.. Publications in top-tier conferences (NeurIPS, ICLR, ACL, EMNLP, CVPR etc.)
The Senior AI Data Scientist with the MedStar Health AI Center of AI Excellence drives innovation and transformational change in healthcare by leveraging advanced analytics, artificial intelligence, and machine learning.. As part of the MedStar Health AI Center of Excellence, supports governance efforts by performing and overseeing internal and external model reviews, evaluations and in-vivo monitoring.. Master's degree In computer science, data science, statistics, biomedical informatics, engineering or related technical field.. Expertise in Python, SQL, Scikit-Learn, Spark/Databricks, LangChain and modern cloud MLOps.. Expertise in modern machine learning techniques including decision trees, support vector machines, neural networks as well as natural language processing, embedding and foundation models.
The Antitrust Division of the U.S. Department of Justice (DOJ) is responsible for enforcing federal antitrust laws and promoting fair competition in the marketplace.. Expertise in AI/ML technologies (e.g., TensorFlow, PyTorch, Scikit-learn, Keras) and understanding of deep learning and natural language processing (NLP).. Strong understanding of big data platforms such as Hadoop, Apache Spark, and data lakes.. Experience with data visualization tools like Power BI, Tableau, or Looker.. Certifications: Relevant certifications in enterprise architecture, AI, or data science (e.g., TOGAF, Certified Data Management Professional (CDMP), Microsoft Certified: Azure AI Engineer Associate).
Machine learning is used to build, evaluate, and test models for natural language and speech tasks.. Work on Machine learning projects involving state-of-the-art modeling techniques.. Applying big data methodologies such as MapReduce, Elasticsearch, and Kibana for data preprocessing, analysis, and visualization.. Utilizing SQL for data querying, manipulation, and database management, with hands-on experience in platforms like AWS RDS.. Utilizing MATLAB for prototyping and implementing algorithms for signal processing and image analysis tasks in machine learning.
The Applied AI group in Comcast’s Global Entertainment Engineering organization is seeking a passionate and skilled Machine Learning Engineer with expertise in Natural Language Processing (NLP) to join a team of researchers and engineers powering a voice platform used by millions of people every day across the world.. Apply NLP and ML knowledge to analyze and process voice queries using techniques like pattern matching, entity extraction and intent classification.. Proficiency in programming languages like Python, Kotlin and Java, and experience with machine learning frameworks such as TensorFlow, PyTorch and Keras.. Experience with natural language processing, machine learning, deep learning, optimization techniques and evaluation methodologies.. 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.
PreemptiveAI is enabling providers, payers, and digital health entities to identify the highest-risk patients and prioritize them for care coordination and targeted interventions, in order to prevent escalations.. Using deep learning to analyze real-time smartphone and wearable sensor data, its technology can map physiological health risk in real time, enabling the future of population health management.. Senior Researcher: Artificial General Intelligence (Natural Language Processing). 2025 Intern CV/ML - Machine Learning Engineer. Machine Learning Research Scientist / Research Engineer, Post-Training
We are looking for a machine learning engineer to help develop applied ML models and own end-to-end pipelines that will enable us to deliver real-time insights and guidance to key clients this election cycle.. Our pipeline involves using deep learning to fine-tune large, powerful transformer models, and we are excited to be applying the latest advances in AI tools to our unique, private dataset.. Is a strong Python programmer, and is familiar with standard software development tools and best practices.. Has experience with NLP and training transformer ML models using PyTorch, or similar tools.. Is familiar with cloud services, distributed systems, and other DevOps tools (Docker, Kubernetes, Terraform, etc
DMG is a Certified Great Place to Work with a strong, inclusive culture and top-notch benefits.. Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization.. MasterÕs degree in an analytical field such as Data Science, Computer Science, Applied Mathematics, Operations Research or Economics.. Experience with code version control platforms like GitHub, GitLab, or Azure DevOps. At DMG, you’ll be part of an amazing team that encourages learning, growth, and advancement.
The Senior AI Data Scientist with the MedStar Health AI Center of AI Excellence drives innovation and transformational change in healthcare by leveraging advanced analytics, artificial intelligence, and machine learning.. As part of the MedStar Health AI Center of Excellence, supports governance efforts by performing and overseeing internal and external model reviews, evaluations and in-vivo monitoring.. Takes leading role in the growth of the Community of Practice in data science at MedStar Health, including mentoring junior data scientists across the community.. Collaborates with research scientists within the Center of Excellence and at MedStar Health Research Institute on internal evaluations and model/product validations.. Expertise in Python, SQL, Scikit-Learn, Spark/Databricks, LangChain and modern cloud MLOps.
Join to apply for the AI & Machine Learning Engineer - TMT - Manager - Consulting - Open Location role at EY. AI/Machine Learning Engineer, Manager Consultant TMT Sector. Familiarity with telecommunications protocols (e.g., 5G, LTE) and their implications for data science.. Knowledge of regulatory and compliance considerations specific to the TMT sector.. 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.
Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting Edge Technology across the US Government.. This Data Scientist position will lead our artificial intelligence (AI) and machine learning (ML) projects in the federal space.. Proficient with a broad spectrum of advanced data science techniques and industry expertise including machine learning and AI. Able to explain relevance of data science techniques to various use cases.. Practical programming experience in Python, R, Matlab, Spark/PySpark, SQL, and/or other related programming languages (5+ years preferred). Experience in automation and deployment preferred (MLOps and Data Engineering)
Real world experience with statistical modeling and machine learning algorithms including regressions, naive bayes, NLP, decision trees, KNN, K-means, random forest, neural networks and etc. Demonstratable expertise coding in Python and SQL; experience building data pipelines and working with modern data stacks Databricks, Snowflake, BigQuery, and etc.. Demonstratable Generative AI experience leveraging frameworks such as MCP, LangChain, LangGraph, and others to develop LLM-centric solutions employing RAG, fine-tuning, agentic workflows, and etc. Hands on experience with commercial visualization platforms such as Tableau, PowerBI, Looker, Qlik and etc. Unlimited access to LinkedIn Learning, internal webinars through JPAs Elevate Institute, tuition reimbursement, paid professional development, and paid learning and development time.
The Applied AI group in Comcast’s Global Entertainment Engineering organization is seeking a passionate and skilled Machine Learning Engineer with expertise in Natural Language Processing (NLP) to join a team of researchers and engineers powering a voice platform used by millions of people every day across the world.. Apply NLP and ML knowledge to analyze and process voice queries using techniques like pattern matching, entity extraction and intent classification.. Proficiency in programming languages like Python, Kotlin and Java, and experience with machine learning frameworks such as TensorFlow, PyTorch and Keras.. Experience with natural language processing, machine learning, deep learning, optimization techniques and evaluation methodologies.. 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.
Machine Learning Engineer. What you will be doing as a Machine Learning Engineer. What you will bring to the table as Machine Learning Engineer. Experience with machine learning, deep learning, data mining, and/or statistical analysis tools and how to deploy and monitor machine learning models.. Knowledge of data pipeline and cloud technologies such as Kafka, Spark, and Docker.
Leidos is looking for an Enterprise Architect to support a large U.S. Department of Justice (DOJ) program.. The Antitrust Division of the U.S. Department of Justice (DOJ) is responsible for enforcing federal antitrust laws and promoting fair competition in the marketplace.. Expertise in AI/ML technologies (e.g., TensorFlow, PyTorch, Scikit-learn, Keras) and understanding of deep learning and natural language processing (NLP).. Strong understanding of big data platforms such as Hadoop, Apache Spark, and data lakes.. Experience with data visualization tools like Power BI, Tableau, or Looker.
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