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Required skills include (3 years exp in): Python or R; Tableau or PowerBI; data analytics; predictive analytics; and (2 years exp in): Machine Learning or Artificial Intelligence software development/software engineering in Azure.
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Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Law firm's Houston office seeks a Patent Agent to assist clients with cutting edge technology including Network Security, Artificial Intelligence and Machine Learning technologies. Elevate Your Patent Career: Unique Opportunity for High Tech Patent Agents at Top Law FirmAre you an experienced EE/CS Patent Agent with a strong foundation in electrical engineering, computer engineering, computer science, electromechanics and/or physics.
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Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.
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2+ years of experience with artificial intelligence (AI), data science, ML engineering, data research, software engineering, or data analytics. This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
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Professional background in computer science, information technology, software engineering, or related fields (master's degree or above), with years of work experience in IT operations, system architecture design, big data processing, and artificial intelligence (with in-depth research and practice in AIOps or related fields.
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Bachelor's, Master's, or PhD degree in computer science, computer vision, machine learning, artificial intelligence, human-computer interaction, robotics, or related technical field.
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Candidates should demonstrate an expert grasp of knowledge in one or more of the following areas: data science, machine learning, artificial intelligence, data structures and algorithms, software engineering, operating systems, computer networks, and databases, either through a record of teaching excellence, or through industrial experience.
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Educational Background: Currently pursuing a degree in Computer Science, Software Engineering, or a related field. Proficiency in Python and experience with frameworks like Flask or FastAPI.
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Experience leading a product as a Product Owner or Product Manager Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Experience working at code level.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
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At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Proven Experience in prospecting, deal progression and quota achievement in one or more of the following software solutions: Maximo, Tririga, Engineering, Sterling Order Management, Sterling Data Exchange for B2B.
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12+ years of experience in software engineering, machine learning, data science, or artificial intelligence. LLM skills including prompt engineering, fine-tuning, LLMOps, function-calling, and retrieval augmented generation (RAG.
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Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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