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Experience with AWS data storage and processing services (S3, DynamoDB, RDS, Kinesis, etc.). Experience with infrastructure as code (CloudFormation, CDK, Terraform). Proficiency developing and architecting cloud-native applications using TypeScript and Python. Expert knowledge of AI/ML systems architecture with demonstrated ability to integrate computer vision technologies into cloud environments, coupled with advanced proficiency in Python frameworks such as TensorFlow, PyTorch, and scikit-learn for implementing AI/ML solutions and building robust data processing pipelines. Experience with Penetration Testing, Software Vulnerability Testing
Job Title: Machine Learning Engineer. Intelligent Automation, Inc. (IAI) is looking for a junior to mid-level team member to contribute to a variety of machine learning, deep learning, and big data projects.. Related projects at IAI include multi-sensor fusion, information retrieval in big data applications, sensor simulation, text mining, image and video processing, and constrained optimization.. Develop algorithms and conduct analysis using state-of-the-art machine learning/artificial intelligence tools across different domains.. Nor will BLOCKCHAIN TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
We are headquartered in Chesapeake, VA with employees located near each of the Navy Fleet Centers within the continental United States (San Diego, Jacksonville, Seattle, New England, Norfolk) as well as Hawaii and Japan. Position Description: MI Technical Solutions is seeking a Machine Learning Data Engineer to join its team. In this role, the Machine Learning Data Engineer is responsible for data wrangling and analysis, development and testing of models and algorithms, and documenting findings of research and analysis in support of Machine Learning solutions. 5 or more years of experience in Machine Learning, Data Engineering, or related fields. Experience with common Machine Learning and programming languages including Python and associated libraries such as NumPy, matplotlib, and Keras/Tensorflow, C
Identify opportunities for AI-driven automation, predictive analytics, and decision support tools in laboratory operations.. Ensure AI and data-driven solutions comply with regulatory standards such as HIPAA, CLIA, and FDA guidelines.. Master's or PhD in Computer Science, Data Science, AI, Biomedical Engineering, or a related field.. Strong knowledge of healthcare regulations, including HIPAA, CLIA, and FDA guidelines for AI-driven solutions.. Expertise in AI frameworks (TensorFlow, PyTorch, etc.)
Optimize data storage, retrieval, and processing workflows using AWS (Glue, Athena, S3, Lambda, Step Functions).. Automate infrastructure provisioning and ML workflow orchestration using Terraform (good to have experience).. Develop and deploy LLM-based AI solutions for content marketing, personalization, and automation.. 6+ years of experience in data engineering, cloud-based data pipelines, and analytics enablement.. Proficiency in AWS services: S3, Athena, Glue, Lambda, SageMaker, Step Functions, EC2.
-Proven experience as a Data Engineer with a focus on Azure Data Factory, dbt, ADF, Snowflake, and data integration.. -Microsoft Azure certifications (e.g., Azure Data Engineer, Azure Developer).. -Experience with big data technologies (e.g., Hadoop, Spark). Insight Global is seeking a highly skilled and motivated Data Engineer with expertise in Azure, dbt, Azure Data Factory (ADF), Snowflake, data pipelines, and data integration frameworks.. The ideal candidate will play a key role in our data engineering team, working on designing, developing, and maintaining data pipelines to support our data-driven decision-making processes.
Senior Machine Learning Engineer (LLMs & Scalable Systems). A fast-growing AI startup in the digital advertising space is looking for a Senior Machine Learning Engineer to lead the development and optimization of large language model (LLM) applications.. The company is NYC-based, but the technical teams are fully remote.. Utilize cloud tools such as AWS, Databricks, and Snowflake for deployment and ML lifecycle management. LLMs | Foundation Models | Hugging Face | Embedding Optimization | Neural Networks | AWS | Databricks | Snowflake | Scalable Systems | Distributed Systems | GraphQL | REST APIs | gRPC | Model Deployment | Model Monitoring | MLOps | Predictive Modeling | Unstructured Data | Behavioral Data
a Strong Big data engineer with good coding and concepts in big data technologies (Hadoop, Spark, Hive etc). Python, Scala/Spark or maybe Java (Scala/Python preferred). (EMR as it’s based on Hadoop platform also Ok) ßask your candidate ‘how do you spin up emr?. Extensive Experience with cloud based Big Data technologies like Hadoop, Hive, Spark, AWS EMR and Airflow.. Experience in one or more programming languages like Java, Scala, and Python.
Are you a System Administrator who is interested in developing your skills and deepening your experience related to Artificial Intelligence (AI)/ Machine Learning (ML) and Data Science (DS)?. Come support a major program advancing the state of the art in mission-focused big data analytics and predictive analytics.. You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights.. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely.. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
The team is part of Investment Risk Management Group and supports multiple investment risk managers (across Equity, Fixed Income and Alternatives) by developing data science solutions and machine learning techniques.. This role plays a crucial role for designing, developing, and implementing AI models and Machine Learning techniques to enhance investment risk management.. The position involves working closely with investment professionals and risk managers to develop cutting-edge AI/ML models for effective risk assessment and decision-making processes.. AI/ML Model Development - Builds and maintains predictive models to assess and quantify risks associated with various investment strategies and asset classes.. Implements algorithms for tasks such as natural language processing to enhance investment risk oversight.
AI/ML Network Infrastructure EngineerJob Category: EngineeringTime Type: Full timeMinimum Clearance Required to Start: TS/SCIEmployee Type: RegularPercentage of Travel Required: Up to 10%Type of Travel: Continental US. CACI is seeking a cleared Senior Engineer with experience in AI/ML and Network Architecture for our Aberdeen Proving Ground Team. As a member of the team, you will get to apply artificial intelligence, machine learning and big data algorithms and technologies to software defined radios, network architecture, network traffic, and SIGINT frameworks.. - We offer competitive benefits and learning and development opportunities.. - We are mission-oriented and ever vigilant in aligning our solutions with the nation’s highest priorities.. - For over 60 years, the principles of CACI’s unique, character-based culture have been the driving force behind our success.
:)WHAT YOU WILL DO- Ingest, structure, and analyze a wide range of unstructured data sources;- Design, maintain, and orchestrate data pipelines in an AWS environment for both production processing and training flows;- Continuously evaluate, test, and improve the quality, privacy, and performance of our data systems;- Contribute across the product — from front-end UX and product design to API/systems architecture and ML processing/training.. NICE TO HAVES- Experience in the healthcare domain is a plus;- Extensive production experience with AWS, containers, and/or data orchestration tools;- MLE experience (e.g., PyTorch, scikit-learn, etc.). ;- Full-stack development experience (especially with JS/TS/Node);- Proven experience in similar roles at startups or consultancies.. - A selection of exciting projectsJoin projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.. - FlextimeTailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
As an AI/LLM Engineer supporting NHLBI, you will leverage strong Python programming skills and provide LLM fine-tuning and Prompt Engineering to enable science at NHLBI. You will translate business needs into technical requirements and architecture.. LLM-Fine-tuning and Prompt Engineering : Experience focused on fine-tuning opensource LLMs (LLaMa, Mistral, GPT) and crafting optimized prompts for inference. Model Deployment and Serving : Familiarity with deploying LLMs via APIs using FastAPI/Flask, Docker and serving them efficiently. Cloud and Compute infrastructure: Experience training and running LLMs on GPUs using AWS, Azure or GCP with awareness of memory optimization, and inference speed-ups.. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
Are you excited about working on multi-disciplinary teams to innovate the state-of-the-art in autonomous systems, artificial intelligence, software design, embedded systems, virtual reality, simulation and/or uncrewed air platforms?. Three of our monumental and impactful projects have been DARPA Air Combat Evolution, AFRL Golden Horde, and Air Force SkyBorg.. Have classroom or professional experience working with any of our core skills: autonomous systems, artificial intelligence, deep/reinforcement/machine learning, robotics, dynamics and controls, flight test and evaluation, modeling and simulation, aerodynamics, air combat platform design, data science, and statistical analysis.. eywords: Artificial intelligence, intelligent decision-making, autonomous systems, deep reinforcement learning, neural networks, collaborative teaming, next generation platforms, drones, cutting-edge sensors, robotics, Python, Java, Javascript, Typescript, C. C#, C, Linux, Terminal, Bash, Matlab, Pytorch, tensorflow, Unity, UI development, simulation development, full stack development, front end development, physics, aerospace, data science, computer science, statistical analysis, mathematics, aerial combat, battle management, command and control, future warfare concepts, hardware
The Machine Learning/Data Science Research Engineer will participate in an end-to-end design and implementation of deep learning solutions for application in network/graph representation learning (NRL) and graph construction/generation/completion.. Leverage deep learning frameworks (e.g., PyTorch, Tensorflow) to develop deep learning solutions, tailoring them to the application area.. Network engineering experience (e.g., knowledge of OSI/TCP/IP models, network infrastructure). Experience with orchestration solutions, including Docker Swarm, Kubernetes, Terraform. Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy.
The team is part of Investment Risk Management Group and supports multiple investment risk managers (across Equity, Fixed Income and Alternatives) by developing data science solutions and machine learning techniques.. Strong knowledge of financial markets, risk management, portfolio management or investment research. 6+ years of proven experience in Data Science, predictive modeling using Statistics and Machine Learning. Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar. Experience developing and implementing machine learning pipelines for generative AI and ML Models with a strong understanding of deep learning techniques such as GPT, VAE, and GAN
The Role: Associate Director of Data Science - RAG, NLP, LLM and GenAI. S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.. ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.. Bachelor's / Master's or Ph. D degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field.. 3+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures.
Proven professional experience in AI solution development, with a strong emphasis on natural language processing, machine learning, and large language models.. Strong proficiency in Python with experience in utilizing relevant libraries and frameworks (e.g. Scikit Learn, TensorFlow or PyTorch). Hands-on experience with the RAG technique and familiarity with its application in real-world scenarios.. Familiarity with Azure AI services is preferred.. Strong problem-solving abilities and analytical mindset, with the ability to translate complex business problems into practical AI solutions.