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- Candidate with at least 4 years of STEM related work experience with a STEM bachelors degree or 2 years of relevant work experience with a STEM masters degree. - Hands-on experience implementing, training, and evaluating deep learning models with familiarity of adversarial, semi-supervised, and generative architectures. - Hands-on experience working with Torch, TensorFlow, and similar machine learning frameworks.. - Experience executing data science methods using Python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization. - Experience or exposure using Python libraries such as pandas, NumPy, GeoPandas, requests, urlib3, Matplotlib, plotly, scikit-learn, sciPy, OpenCV, GDAL, Keras, NLTK, spaCy, Gensim
Today, we support digital transformation for some of the world's largest enterprises. Miratech is expanding its strategic capabilities in Artificial Intelligence by launching a dedicated AI Solution Architecture function. Architect high-level AI solutions, leveraging the latest technologies in machine learning, NLP, computer vision, GenAI, and data platforms. Strong background in pre-sales, solutioning, and client interaction. Familiarity with cloud AI platforms (Azure, AWS, GCP) and MLOps frameworks.
Extract, transform and load (ETL) structured and unstructured data into Databricks Unified Analytics Platform.. Perform analytics in Databricks Unified Analytics Platform.. Experience applying data science techniques, including machine learning, deep learning, statistical modeling and/or data visualization to solve challenging business problems.. Experience in one or more programming languages (Python, R, Java, Scala, SAS, JavaScript) and Linux scripting.. Experience in Databricks products, or extensive experience in Apache Spark.
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.
Strong programming skills in SQL, Python, R, Scala, Java, or similar language.. Experience with DevSecOps, as it applies to data science.. Demonstrated experience with TensorFlow, Keras, or other Deep Learning tools and frameworks.. Data visualization skills in Tableau, Power BI, D3, ArcGIS, or similar.. As part of the application process, you are expected to be on camera during interviews and assessments.
Familiarity with the AI/ML software stack (e.g. CUDA, PyTorch, TensorFlow, Ray).. A PhD in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar with at least 3 years of relevant professional experience is required. Fully remote work will also be considered. Industries Think Tanks, Research Services, and Non-profit Organizations.. Senior Digital Strategist & UX Researcher Washington, DC $90,000 - $120,000 2 weeks ago
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
Strong programming skills in SQL, Python, R, Scala, Java, or similar language. Experience with DevSecOps, as it applies to data science. Demonstrated experience with TensorFlow, Keras, or other Deep Learning tools and frameworks. Data visualization skills in Tableau, Power BI, D3, ArcGIS, or similar. As part of the application process, you are expected to be on camera during interviews and assessments.
The ideal candidate will combine deep technical expertise in Python, NLP, and statistical modeling with hands-on experience deploying models in production environments.. · Implement and fine-tune models using frameworks such as Transformer, Scikit-learn, SpaCy, XGBoost, and deep learning libraries.. · Proficiency with Natural Language Processing (NLP) techniques (e.g., Text Normalization, NER, POS tagging, word embeddings).. · Experience with cloud-native DevSecOps, CI/CD pipelines for ML models, and model version control.. · Knowledge of federal data governance, privacy, and compliance requirements (e.g., FedRAMP, FISMA).
Design and deliver Threat Intelligence enrichment: - leverage AI/ML to analyze large volumes of threat intelligence to provide actionable insights to endpoints, email, malware, network and application threats.. Our tech stack is primarily Python/Golang leveraging OCSF formatted Databricks platform across a multicloud environment.. Fluency in at least one modern object-oriented programming language (preferably Python, Java/Kotlin).. Experience with Databricks or Apache Spark.. Experience with frameworks and libraries i.e. TensorFlow, PyTorch, Keras, SciKit Learn, NLTK and tools like Shodan, Metasploit, AWS Bedrock, Amazon Lex.
Atlantic City Electric (ACE), Baltimore Gas and Electric (BGE), Commonwealth Edison (ComEd), Delmarva Power & Light (DPL), PECO Energy Company (PECO), and Potomac Electric Power Company (Pepco).. Analyze data using advanced analytics techniques in support of process improvement efforts using modern analytics frameworks, including but limited to: Python, R, Scala, or equivalent; Spark/PySpark; Hadoop file system; GPU-based computing systems. Analytical Abilities: Demonstratable strong knowledge in the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization.. Technical Knowledge: Proven experience in developing and deploying predictive analytics projects using one or more leading languages (Python, R, Scala, etc. In-depth familiarity with industry-specific data domains—including geospatial/GIS layers, remote sensing and imagery, AMI/MDMS billing data, real-time SCADA/telemetry feeds, outage or distribution management systems (OMS/DMS), work management and asset management datasets.
Our Applied Science team are the brains behind Relativity aiR, the most scalable workflows in legal tech—automating decision-making in document review, privilege detection, and case strategy. Be it a decision tree or a frontier LLM. Strong Python Programmer, experienced in various data and machine learning libraries (e.g. numpy, pytorch, scikit-learn, pyspark).. Senior Public Sector Research Scientist, Machine Learning Washington, DC $150,000.00-$300,000.00 1 week ago.. AI Research Scientist: AEC. Remote US or Canada Data Scientist (Secret Clearance required) Columbia, MD $170,000.00-$230,000.00 1 week ago
i3, LLC is in search of a Data Scientist to support the mission of the Offices of Inspectors General (OIG). Data Scientist will lead data science projects specific to developing business intelligence solutions that encompass data mining, data analytics, and predictive analysis using vast amounts of data across disparate systems and databases. Two or more years of experience in training, evaluating and deploying machine learning models using Databricks, leveraging Pyspark MLlib and unity Catalog for model management and governance with recent experience (in the last 6 months). advance knowledge in Excel and demonstrate capabilities in performing data analysis in Excel, generate graph, chart, pivot table, Vlookup, functions, etc, independently. We are a leader in providing software engineering, big data analytics and visualization, artificial intelligence and machine learning solutions, DevOps, data center support, and cloud migration for our law enforcement and national security customers.
Recruit, develop, and retain a diverse team of top-tier scientific talent, elevating the capabilities and influence of The Knots Machine Learning Science organization.. 710 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.. At The Knot Worldwide, we believe you are more than a resume and invite you to go for it, take the leap of faith, and apply for this job if it sparks your passion to join TKWW and make a difference!. To facilitate in-person collaboration, we have office spaces in Barcelona, Spain; Delhi, India; Galway, Ireland; London, England; New York, NY; and Washington, D.C.
You will work closely with various teams, including Cloud Services, Cybersecurity, IT Operations, Program Management, Network Engineering and Administration, Disaster Recovery, Data Center Operations, Cloud Engineering, Data Architecture, and Data Engineering.. Architect and develop complex AI models and systems, including machine learning algorithms, neural networks, and deep learning frameworks.. 10+ years of professional software development experience using on or more of the following languages in a AI/ML or data analytics environment: Python, R , Rust, Java, C. Experience with supervised and unsupervised machine learning, Natural language processing (NLP), Deep Learning, Predictive Analytics, Anomaly Detection, Clustering and Segmentation, Decision Trees and Random Forests. Experience developing Cloud Computing and DevOps workflows: AWS (SageMaker, EC2, S3), Containerization, Azure
Twenty is seeking a mid-level AI Engineer for an in-office position in its Arlington, VA office to help build the next generation of cyber technologies that protect democracies worldwide.. Develop retrieval-augmented generation (RAG) systems to enhance LLM capabilities with external knowledge. Strong skills in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX). Proficiency in LLM fine-tuning techniques (PEFT, LoRA, QLoRA). Machine Learning Engineer, AI (FULLY REMOTE) Washington, DC $176,600.00-$225,900.00 2 weeks ago
Senior Principal Machine Learning Engineer-AI (FULLY REMOTE) Join to apply for the Senior Principal Machine Learning Engineer-AI (FULLY REMOTE) role at Splunk. As the Senior Principal Machine Learning Engineer in the Artificial Intelligence group, you will be a key player in defining and executing the technical roadmap for the team, as we develop the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency.. In-depth knowledge and proven track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning.. Sign in to set job alerts for “Machine Learning Engineer” roles.. Senior Public Sector Research Scientist, Machine Learning Silver Spring, MD $109,600.00-$127,406.00 2 weeks ago
We are seeking a Lead Solutions Consultant who is ready to play a crucial role within a rapidly growing and high-performing organization, and who brings demonstrated impact selling and delivering high-tech services in both federal and commercial healthcare markets.. You will partner with and build strong relationships with our clients' staff and management in the government and corporate sectors, providing business analytics, artificial intelligence, and IT solutions for mission-centric problems.. Help derive insightful, strategic recommendations through core management consulting skills combined with data science / machine learning applications.. At least a Bachelor's degree in a quantitative discipline (statistics, economics, mathematics, computer science, electrical engineering, or a related scientific discipline).. Familiarity with the following programming languages: SAS, Python, R and SQL.
Per Legal Times (2023): "A Preferred Law Firm for In-house Lawyers". National "Tier 1" in Patent Law. Seeking a registered Patent Attorney or Agent with a Bachelor’s degree or graduate degree (MS/PhD) in Computer Science, Electrical Engineering, Data Science, Physics, or a related technical field involving AI/ML. Experience with AI models, neural networks, and deep learning is required. Domain experience in autonomous vehicles, robotics, natural language processing, wireless communications, computer vision, or related AI fields is preferred. The candidate should be registered to practice with the USPTO; attorney candidates should also be an active member and in good standing of their home office bar or eligible to waive into the appropriate bar.
We encourage candidates in physics, computer science, or data science with a vibrant research and teaching profile that engages with artificial intelligence to apply. Applicants should have a PhD or an anticipated PhD completion by August 2025 in physics, computer science, data science or a related field. This position is part of a university-wide initiative to enhance our capacities in artificial intelligence, machine learning, and data science. Our campus is within easy reach of the many science centers located in and around the nation’s capital, including NASA, NOAA, NIST, DOE, NSF, NIH, DOD, and many other federally funded labs and research centers. The annual salary ranges based on rank are as follows: Assistant Professor $90,000-101,000; Associate Professor $101,000-150,000; Professor $150,000-220,000.