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Top Python Jobs in Pittsburgh, PA
The Software Engineer Lead will design and develop software solutions, resolve complex problems, provide guidance and support to team members, and apply modern methodologies to enhance business capabilities. The role involves leading automated testing efforts and working with various testing tools and programming languages.
The role involves leveraging advanced analytics to extract insights from large data sets and support decision-making. Responsibilities include developing AI and GenAI solutions, collaborating with clients, designing AI architectures, and managing global data analytics operations.
The Digital Contact & Services Director will lead strategies in data analytics, focusing on leveraging AI and technology to optimize customer engagement and operational efficiency. Responsibilities include guiding teams in contact center solutions, overseeing solution delivery, and fostering relationships to align with organizational goals.
The Digital Contact & Services Manager leads various teams to design, develop, and implement Contact Center AI and Conversational AI solutions. They analyze complex client needs, coach team members, and manage the end-to-end development lifecycle while ensuring alignment with company strategies and regulatory requirements.
The Software Engineer Principal will lead a team of Data Engineers to design and optimize Oracle databases, develop automation in Linux, and improve data handling processes. Responsibilities include writing efficient PL/SQL, managing large datasets, and leveraging big data technologies to support business strategies.
As an Infrastructure Engineer at PNC, you will be responsible for maintaining and supporting the mainframe platform, including installing and customizing the z/OS operating system. You'll focus on troubleshooting, automation opportunities, and developing CI/CD pipelines, while also collaborating across teams to address the technological needs of customers and support ongoing projects.
The Software Engineer Principal will maintain, implement, and support APIs using the Apigee platform and ensure the infrastructure for SIP protocols functions effectively. Responsibilities include collaborating with teams, monitoring performance, enforcing security measures, and providing documentation and technical support.
As a Senior Infrastructure Engineer within PNC’s Data Center Network organization, you will design, implement, and support complex data center networks while ensuring operations meet customer needs. You will oversee platform engineering, develop software components, and provide expertise on best practices and technical resolutions to achieve secure and reliable technology solutions.
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As a Senior Associate Data Architect at PwC, you will design and develop data architectures to transform raw data into actionable insights, ensuring compliance with data governance and security. You will develop data pipelines, integrate systems, and lead client engagements while mentoring peers and enhancing technical skills. Your role includes evaluating new technologies and implementing scalable cloud-based solutions.
As a Senior Manager at PwC, you will lead data architecture and engineering efforts, transforming raw data into actionable insights while developing data solutions. Your responsibilities include designing data systems, implementing cloud-based strategies, developing data pipelines, and ensuring compliance with governance policies, all while coaching and managing a high-performing team.
The Senior Manager in Data & Analytics at PwC will design and build data infrastructure and systems, develop data pipelines, and transform raw data into actionable insights. Responsibilities include leading teams, managing client relationships, conducting quality assurance, and applying advanced technology solutions to enhance business growth.
As a Senior Manager in the managed services team, you will lead large software development projects, innovate processes, interact with clients to ensure project success, and mentor other specialists. Your role includes applying advanced software methodologies to drive strategic insights and maintain operational excellence in software development.
The AI & GenAI Data Scientist will leverage machine learning and advanced analytics to transform large datasets into actionable insights. Responsibilities include developing predictive models, conducting statistical analysis, and creating data visualisations, while collaborating with clients to solve complex business problems.
The Software Engineer Sr will design, develop, and deploy software solutions while collaborating with team members. Responsibilities include writing efficient code, maintaining software, preparing documentation, and participating in Agile processes.
The role involves managing teams to analyze, develop, and implement AI and Generative AI solutions for clients. Responsibilities include project ownership, mentoring team members, and collaborating with clients to understand their business problems and define appropriate analytical models. Leadership and technical proficiency in data analytics, programming, and AI technologies are key to success in driving quality outcomes.
The Security Testing Specialist is responsible for testing applications for vulnerabilities through static scans and manual code reviews. They onboard new programs, validate security vulnerabilities, assist developers with remediation, and enhance security methodologies, while collaborating with stakeholders during testing phases.
As an Assistant AI Software Engineer, you will conceive, develop, test, and deploy software applications to enhance CERT capabilities. You'll participate in the full software development lifecycle, making key decisions on software design and technology. Collaborating with senior developers and participating in AI-related projects will also be part of your responsibilities.
The Staff Software Engineer will optimize Deep Learning networks for autonomous vehicles, focusing on performance analysis and software architecture. Responsibilities include troubleshooting, adapting to new technologies, and working with large codebases in a fast-paced environment.
The Research Programmer/Analyst at CMU will design, develop, and implement visualization tools for single-cell genomics data, collaborating with biologists to define software features, and ensuring code quality through testing and documentation.
The Associate Embedded Software Engineer will design and develop embedded software tools, conduct software analysis, and ensure deterministic performance using state-of-the-art techniques. The role involves creating prototypes, conducting performance tests, and developing software for VHDL analysis for FPGAs. Collaboration in a team environment is crucial.
As the Staff Product Operations Manager, you will optimize mapping operations and technology for self-driving, drive cross-functional collaboration, and support product development. The role requires expertise in the mapping system, data analysis, and enhancing operational efficiencies while mentoring the team.
The Logistics Account Executive will build a book of business through prospecting new relationships, negotiate rates with clients and carriers, and act as a customer service specialist, striving for continuous growth. The role requires strong communication skills and a high-energy, competitive attitude, with opportunities for career advancement and uncapped commissions.
The Logistics Account Executive at Beemac Logistics is responsible for building and managing a book of business in the transportation logistics industry. The role involves prospecting new clients, negotiating rates, and utilizing various communication methods to build relationships and achieve sales goals. The position offers growth potential and a chance to earn a six-figure income within 18 months.
As a Software Engineer, you will design, develop, test, and maintain software for broadcast and signal processing equipment, manage project priorities, and ensure that your software interfaces effectively with users and other systems. Some travel to customer sites may be required.
As an AI Engineer, you will be responsible for developing and implementing deep learning models for image processing, integrating them into cloud-based systems, and ensuring model performance through data labeling and retraining processes. You will also track performance metrics and adapt development strategies based on project needs.
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