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A technology consulting firm specializing in data analytics, artificial intelligence, and software implementation is seeking a Data Scientist.. Mid-sized software company is seeking a Data Scientist to contribute to the growth of their Machine Learning Engineer capabilities.. Proficiency with Python, TensorFlow, PyTorch, Pandas, Keras. Deployment of models into production, Docker / Kubernetes. Software Development with JavaScript, React, or Typescript
Collaborate Across Functions: Work hand-in-hand with leaders across Engineering, Product Management, and Data Science to amplify the impact of AI/ML across F5 products.. Hands-on experience with modern ML frameworks like PyTorch, TensorFlow, and hardware acceleration platforms (CUDA, ROCm, etc. End-to-End Knowledge: Expertise in machine learning models, SaaS products, observability architecture, and production-scale cloud computing deployments, particularly in Kubernetes environments.. You may also be offered incentive compensation, bonus, restricted stock units, and benefits.. Sign in to set job alerts for “Director of Artificial Intelligence” roles.
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).
Why This Role Matters The Washington Post Personalization team is looking for a senior applied machine learning scientist who is excited to create forward-thinking solutions for the next generation of journalism.. You will lead the research, design, and implementation of cutting-edge machine learning models that drive significant business impact and enhance reader experience.. You value world-class journalism and are eager to immerse yourself in features and projects that support that mission.. 3 year+ machine learning and data science experience. 3 year+ experience with supervised and unsupervised learning, deep learning, and causal inference
Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world.. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.. Requires a Doctorate degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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
As our Lead Graph Intelligence specialist, you will be the spearhead of cutting-edge research projects.. Leveraging your profound expertise in graph databases (e.g., Neo4j, ArangoDB, Amazon Neptune, Ontotext GraphDB), distributed graph processing frameworks (e.g., Apache Spark GraphX, Dask-Graph), and leading GML libraries (e.g., PyTorch Geometric, DGL, Spektral), you will conduct in-depth research, construct sophisticated predictive, prescriptive, and diagnostic models directly on graph structures.. Research & Publication Acumen: A track record of contributing to cutting-edge research, including peer-reviewed publications in top-tier conferences or demonstrated experience in driving novel solution development from concept to prototype.. Healthcare Data Familiarity: Understanding of healthcare data domains (claims, clinical, EMR) and related ontologies or standards (e.g., SNOMED CT, ICD) is a significant plus.. Data Analysis with SQL, BigQuery
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)
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 domainsincluding 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.
As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning.. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value.. Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications. Data Engineering technologies ( Ex: Spark, Hadoop, Kafka ). More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
Our tech stack is primarily Python/Golang leveraging OCSF formatted Databricks platform.. Experience with Databricks or Apache Spark.. Experience with frameworks and libraries i.e. TensorFlow, PyTorch, Keras, SciKit Learn, NLTK. Tools Shodan, Metasploit, AWS Bedrock, Amazon Lex. Security Engineer (SIEM/SOAR/SOC Optimization) - Mid-Atlantic region (Remote in NC, VA, WV, MD, DC, DE, NJ, or PA). Databricks Security Engineer, Senior (Security Clearance) -Remote work local to DC Metro or FL
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.
Deliver onboarding demos and hands-on walkthroughs for customer data science teams, showcasing platform capabilities and how to efficiently leverage Databricks, JupyterHub, and AWS SageMaker/Bedrock.. Build secure and reproducible data science pipelines, including data wrangling, feature engineering, and model development using Databricks and AWS-native tools.. Hands-on experience with Databricks, JupyterHub, MLflow, Bitbucket, and AWS tools (S3, Lambda, SageMaker, Bedrock).. 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.. Sr. Machine Learning Engineer/Date Scientist Washington, DC $155,000.00-$200,000.00 1 week ago
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).
The complexity of the cloud/multi-cloud environments and architectures require expertise in areas such as infrastructure as code (IaC), containerization, microservices and automation.. To achieve this, We are seeking to engage experienced senior to mid-level skilled technical personnel with expertise in cloud architecture, DevOps and security best practices to provide specialized skills, technical expertise and hands- on implementation support.. Expert proficiency in Python data science development.. Advanced experience with Natural Language Processing (NLP) techniques like Text Normalization, Named Entity Recognition, and Part-of-Speech (POS).. Specific experience popular AI/ML frameworks such as Transformer, Scikit-learn, SpaCy, XGBoost.
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.
Design and lead machine learning, statistical modeling, and data analysis projects.. Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field.. Basic to intermediate proficiency in Python and familiarity with data science models.. Familiarity with big data platforms and tools (e.g., Hadoop, Spark, Elasticsearch).. Knowledge of data governance, security, and data quality standards in secure environments.
They’ve developed an advanced AI platform that empowers users to tackle critical capability gaps in maintenance, cyber intelligence, supply chain optimization, and predictive analytics.. As a Machine Learning Engineer , you will be at the forefront of AI product innovation—bridging software engineering, machine learning, and data engineering to enhance scalable AI solutions.. 4+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer.. Experience working with big data technologies (e.g., Spark, Snowflake, Databricks).. Sponsorship: Visa sponsorship not available at this time
Under the direction of the Director of Data Science Analytics and aligned with department and firmwide objectives, and priorities, the Senior Data Scientist plays an active role in and contributes to improving firm strategy, delivery of legal services, and operations using data science tools and techniques.. Hands on expertise with data management tools and methods: fluent in Python, R, and T-SQL.. Experience with Azure Cognitive Services, AWS, Tableau, Power BI, And Posit Workbench / Posit Connect a plus.. Experience with machine learning and AI; reputation as a thought leader in the data science/machine learning/Artificial Intelligence community a plus.. Industry-leading parental leave and family benefits including adoption and fertility treatment options and backup child and elder care.
AI/Machine Learning Engineer, Manager Consultant. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape.. 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.. Strong skills in languages beyond Python: R, JavaScript, Java, C. Skills in data visualization and storytelling with data.