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CUDA (Compute Unified Device Architecture) /OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms.
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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.
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Design, develop and implement various process improvement tools and techniques including Workflow, Robotic Process Automation (RPA), Optical Character Recognition (OCR), Natural Language Processing and (NLP), Machine Learning (ML) to meet end-to-end business requirements.
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Engineers will have the opportunity to work with our teams of media buyers who are engaged in direct arbitrage activities, our accounts teams who work with our larger publisher network, and our data science and analysis team, who are working on a combination of analysis and machine learning to create insights and optimize our marketplace.
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Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Data Science / Machine Learning / AI, Red Hat Enterprise Linux certifications, such as RHCSA or RHCSE. Programming/scripting experience e.g.: Python, PowerShell, Bash, Golang, C, JS, SQL, etc.
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They build a variety of tools for customer around AI, Machine Learning, NLP, Data Science. The Software Engineer is expected to develop in Java, Python, and SQL. The work will require the ability to use Airflow to automate our processes.
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Stay updated with the latest advancements in AI, machine learning, and natural language processing techniques. Strong proficiency in Python programming language and experience with relevant libraries/frameworks such as TensorFlow, PyTorch, or OpenAI. Solid understanding of natural language processing (NLP) techniques and experience with NLP libraries such as NLTK, spaCy, or Transformers.
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Or software programming Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience Excellent written and verbal communication skills If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.
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All Positions are open for all visas and US citizens We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few.
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Here at SynergisticIT We just don't focus on getting you a Job we make careers. Since 2010 Synergisticit has helped Jobseekers differentiate themselves by providing candidates the requisite skills and experience to outperform at interviews and clients.
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Python, Shell Scripting, Linux-based operating systems, Machine learning and image processing applicationsThe essential requirements of the job include: Master s degree in electrical/computer/biomedical engineering.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Jobseekers need to self-evaluate if they have the requisite skills to meet client requirements and needs as Clients now post covid can also hire remote workers which increases even more competition for jobseekers.
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In this market also our candidates get multiple job offers and $100k + salaries. Here at SynergisticIT We just don't focus on getting you a tech Job we make careers. For more than 12 years Synergisticit has helped Jobseekers stand out from other Jobseekers by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients.
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