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Algorithm Development: Lead the design, development, and implementation of advanced AI algorithms to address complex challenges across various domains, such as computer vision, natural language processing, and recommendation systems.
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Data Processing Frameworks: Lead the implementation and optimization of data processing frameworks and technologies, such as Apache Hadoop, Apache Spark, and Apache Flink, to enable efficient data processing and analysis.
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5+ years of experience in algorithm development, with a focus on AI and machine learning algorithms. Documentation: Document algorithm design, implementation, and usage guidelines, providing clear and comprehensive documentation to facilitate understanding and adoption by other team members.
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The Company’s primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. Participate in the Howmet Business System implementation of continuous improvement initiatives and drive waste reductions utilizing Lean principles (JIT, Autonomation, Value Stream Mapping, Kaizen, 5S, Standard Work, Line/Cell Design, Single Piece Flow, Material Flow, Visual Management, SMED, TPM, Root Cause Problem Solving, etc.
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Excellent understanding of project and program management tools with a focus on supporting ERP implementation projects. This role will support the successful delivery of the overall ERP transformation program through the implementation & management of program metrics, reporting cadence, risks and issues identification, and escalation.
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Or Java, and experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Strong understanding of AI concepts and algorithms, including deep learning, reinforcement learning, evolutionary algorithms, and optimization techniques.
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Company Overview: Welcome to the forefront of artificial intelligence innovation! Flexible work hours and remote work options. Evaluation and Validation: Lead the evaluation and validation of algorithm performance using appropriate metrics and benchmarks, ensuring robustness, reliability, and generalization across different datasets and scenarios.
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8+ years of experience in data engineering or systems engineering, with a focus on data systems technologies. Position Overview: As the Lead Data Systems Engineer, you will play a pivotal role in leading our data systems engineering initiatives and driving the design, implementation, and optimization of our data systems infrastructure.
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As a Registered Behavior Technician, you will be responsible for support and implementation of an individualized plan based on the client's targets and goals with a focus on decreasing unsafe behaviors while increasing communication and social skills while receiving support from a Board Certified Behavior Analyst.
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Our industry leading, revenue-sharing program includes commissions on all sales, while our easy, no-touch implementation process provides for seamless onboarding and support. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates.
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Experience in Hybrid, Private, and Public Cloud sales solutions, including implementation and management. Our cloud recruiters focus on connecting top talent with innovative companies in cloud architecture, cloud operations, unified communications, and managed services roles.
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These positions’ primary focus is project/program management focused on provider data quality and analytics, advance automation, flexible network design, applied AI and MDM. Senior Program Management professional and or experience operations with program management experience.
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State-of-the-art technology environment with access to cutting-edge tools and resources. Mentorship and Leadership: Mentor junior engineers, providing guidance, support, and technical leadership in AI algorithm development and best practices.
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Overview This position’s primary objective is to reduce maintenance costs and improve equipment reliability through the implementation of a predictive maintenance and inspections programs. To serve as a role model in the areas of leadership, teamwork, customer focus, continuous improvement, safety and environmental stewardship to ensure alignment with the company’s vision.
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Data Systems Architecture: Lead the design and implementation of scalable and reliable data systems architecture to support the organization's data needs, including data storage, processing, and analytics.
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