Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.

CUDA (Compute Unified Device Architecture) /OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing GPU hardware for parallel processing, high performance computing and ML on Linux based platforms while providing updates.

Excellent English-language writing, research, and analytical skills, including the ability to quickly and concisely summarize complex issues. TDI — the strategic advisory and risk intelligence firm—is currently seeking an Arabic-Language Senior Analyst to join our Due Diligence and Investigations (DD&I) practice in our Washington, D.C. office.

The Technology organization works to influence WMG's strategy and optimize day-to-day operations through data, insights, workflow, and machine learning, including generative AI. This position sits within the Technology organization, working closely with colleagues across WMG's recorded music and songwriting/publishing businesses.

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.

Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

Deep knowledge of machine learning techniques, particularly in natural language processing (NLP) and predictive modeling with hands-on experience in building, training and deploying language learning models.

Design and implement research on social systems in a natural resource context, including human use of coastal and marine ecosystems, ecosystem service valuation, and community vulnerability and resilience.

Collaborate with the LMS Analyst and Learning & Development Assistant to ensure seamless program delivery via the learning management system. Proficiency in the application of instructional design, curriculum design, adult learning principles, and measurement strategies.

Demonstrated experience in biodiversity, climate change, land-based greenhouse gas mitigation, natural resource management, alternative energy for international development programming and experience working with USAID or other development agency on this subject matter.

Artificial Intelligence (AI)/Machine Learning to assess the performance of software which shall enable autonomous vehicle and control elements, perception, cognition, and action of system controls within an existing prototype.

Palladium is a global company working to design, develop, and deliver positive impact on the lives and livelihoods of people around the globe; broaden access to health, water, power, and infrastructure; build enduring, sustainable, and transformative institutions and market systems to address global challenges; and conserve the natural world.

The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.

Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.

Experience with natural language processing (NLP), computer vision (CV), or deep learning (DL) model development. Across private and public sectors — from fraud detection to cancer research, to national intelligence — you see machine learning turning data into actions and you want to be part of the team.