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The ideal candidate will have a strong background in data science, programming, and machine learning algorithms and will be passionate about leveraging data to drive business decisions.
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O9 Solutions is looking for an experienced, talented, and motivated Lead Data Scientist to come join our global team in NA or EMEA. As part of this Data Science team, you will be involved in the end-to-end delivery of our supply chain planning products and building advanced forecasting models with Predictive Analytics, Machine Learning and AI with algorithms such as R, and Python.
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And Java, and utilizing deployment frameworks including PyTorch Mobile, ONNX Runtime, Arm NN, and CMSIS-NN; DE pioneering edge AI research, authoring academic papers in the tiny machine learning domain, and presenting findings at relevant academic and industry events; DE developing and implementing biomedical algorithms using MATLAB or Python; and DE designing experiments for the collection of regulated sensitive data.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. 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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Familiarity with emerging IAM skills like IAM in Multi-Cloud (AWS, Azure, Oracle, GCP) and Hybrid Environments, Identity Analytics and Machine Learning, Biometrics & Password less Authentication, Adaptive Authentication, Authorization, and Access Controls.
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Entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers. For data Science/Machine learning Positions.
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Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
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Our engagements with clients are highly focused on the key technology areas like Cloud Migration and Implementations, Data Science which include Artificial Intelligence and Machine Learning, Big Data Solutions and Full stack development.
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Our mission is to develop data products driven by machine learning that empower stakeholders to impact the bottom line and address critical business challenges. The DnA team, comprising machine learning professionals, collaborates with analysts, engineers, executives, product managers, marketers, customer success, and sales team members across all Cloud businesses.
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Clean, preprocess, and transform raw data into a suitable format for machine learning models. Collaborate with data scientists, software engineers, domain experts, and client stakeholders to understand requirements, gather feedback, and integrate machine learning solutions into larger systems or products.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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Supports the firm's cultural values, including a commitment to quality, innovation, learning and growth. Experience in Cisco ASA, FirePower, Fortinet, and Palo Alto firewalls. Education/Experience Required: 5+ years of experience supporting Cisco/SDWAN platform/Windows Platforms; Cisco or Windows Certified in Cisco CCNA, CCNP, Security.
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Branding, Change Management, Creative Process, Design Thinking, Influencing Others, Innovation, Machine Learning, Strategic Planning, Taking Initiative. As a Leader of the team, you will be responsible for continuously incubating new ideas by exploring business problems, learning about new AI technology, performing research on uses of AI and engaging a variety of different industry, technology, and PNC experts.
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Job Responsibilities: Team Leadership and Development: Lead, mentor, and develop a team of data scientists and machine learning engineers. Job Description: Lead a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.
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machine learning jobs Title: data analyst in Dallas, WY, Canada
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