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Top Python Jobs in Atlanta, GA
As a Digital Contact & Services Manager, you will lead a team to develop AI solutions for contact centers, ensuring alignment with business goals. Responsibilities include managing the AI development lifecycle, analyzing data for insights, and collaborating with stakeholders to enhance customer engagement and drive business growth.
As an Analytics Engineering Manager, you'll lead a team to manage critical datasets, ensuring data availability, reliability, and quality. You'll develop and maintain data pipelines, collaborate with various teams, and drive data-informed decision-making to support Growth and Expansion efforts.
As a Python Engineer on the Test Automation Team, you will design and execute test plans, perform manual and automated testing, develop test cases, and ensure the quality of software for unmanned aerial systems, collaborating closely with Agile teams.
The Senior Manager of Software Engineering at Capital One will lead diverse tech projects, manage a team, mentor engineers, and develop cloud-based solutions. Responsibilities include collaborating with product managers and driving innovations in a complex delivery environment.
As a Senior Security Engineer, you'll lead security initiatives for SaaS offerings, focusing on application security, conducting architecture reviews, and developing secure product standards. You'll work with various engineers to ensure reliable and scalable security solutions and participate in vulnerability assessments and internal penetration testing.
The Azure Solutions Architect designs, implements, and optimizes technology infrastructure, ensuring scalability and reliability. Responsibilities include creating architectural blueprints, establishing DevOps practices, automating processes, providing mentorship, and ensuring security compliance. This role requires collaboration with various teams to align technical solutions with business objectives and manage technical risks.
The Data Architect will design and build data infrastructure, develop data pipelines, and ensure compliance with data governance policies. The role involves collaborating with business stakeholders, optimizing cloud solutions, and implementing automation strategies. The architect will also mentor associates and communicate complex concepts effectively to drive data strategy engagements.
The Data Architect - Senior Manager will design and develop robust data solutions, transform raw data into insights, and implement data architecture strategies. Responsibilities include managing data pipelines, ensuring compliance with governance, collaborating with stakeholders, and leading cloud-based implementations. The role requires strong problem-solving and leadership skills.
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The Senior Manager in Data & Analytics at PwC is responsible for developing data solutions, managing data pipelines and transformations, and leading teams to turn raw data into actionable insights. They are expected to coach others, manage complex projects, and ensure data quality while staying updated on technology trends.
As a Senior Manager in Managed Services, you will lead software development projects, innovate processes, and mentor team members while maintaining senior client interactions. Collaborate to drive strategic insights and ensure operational excellence in software development, utilizing various programming tools and methodologies.
As an AI & GenAI Data Scientist, you will leverage advanced analytics and machine learning to develop predictive models, conduct statistical analysis, and create data visualizations. You'll work collaboratively with teams and clients to understand business challenges and deliver data-driven insights.
The Senior Software Engineer at Cox Communications is responsible for developing next-generation client-side solutions for Broadband, Connected Home, and Communities. The role involves working on platform technologies, documenting requirements, engaging in design discussions, and troubleshooting complex platform issues while maintaining knowledge of emerging technologies.
As a Cloud Infrastructure Engineer, you will design and implement defensive security controls for various cloud environments, develop infrastructure for cloud deployments, monitor for security weaknesses, and coordinate with teams to secure sensitive data environments.
The Senior Staff Cloud Security Engineer will lead the Security Engineering team at ServiceNow, focusing on securing public cloud services across AWS, Azure, and GCP. Responsibilities include developing security strategies, mentoring engineers, designing scalable security controls, and ensuring effective security architecture for hybrid clouds while addressing compliance and industry trends.
The Senior Systems Engineer will drive financial planning initiatives at Block by designing and implementing robust Oracle EPM solutions. Responsibilities include architecting systems, leading EPM module implementations, collaborating to improve processes, and training users. A focus on optimizing architecture and supporting data integrations is key.
The Implementation Engineer for AI at Arrow will provide technical direction and support for AI technologies, lead end-to-end AI/ML project implementations, and facilitate AI adoption among channel partners. Responsibilities include developing AI solutions, delivering training, creating digital content, and integrating AI models into existing systems.
The Lead, Data Analytics role at Warner Bros. Discovery involves expanding the use of Key Performance Indicators and Key Risk Indicators for measuring and monitoring cyber risk trends. Responsibilities include data wrangling, analysis, and applying machine learning and artificial intelligence to security datasets.
You will collaborate with internal and client teams to implement technology solutions, lead project workstreams, mentor junior members, and manage diverse teams to deliver high-quality results in healthcare technology.
The Lead Data Scientist will design and implement advanced analytics, manage third-party data scientists, develop data pipelines for ML/AI workflows, conduct statistical analyses, and drive automation in data processing. This role includes guiding junior members and continuously evaluating new technologies for improved data solutions.
The Senior Software Engineer will be responsible for system administration, design, development, and implementation of custom applications at Blueprint RF. Key tasks include programming/scripting, managing virtualized resources, database management, and supporting network operations.
The Senior Product Validation Tester Associate contributes to product development by leveraging user research and metrics analysis. Responsibilities include partnering with the Product Manager, creating test plans, executing manual and automated tests, and collaborating on product features. This role requires strong analytical skills and a solid understanding of product management within payment systems.
As an Enterprise Sales Engineer at Datadog, you will technically engage with customers, support the sales team, deliver product demonstrations, and communicate customer feedback for product improvement. You will utilize your programming expertise to understand and articulate the technical advantages of observability solutions.
As a Decision Analytics Associate Consultant, you'll develop advanced statistical models for Health Plan clients, utilizing R, Python, Tableau, SAS, and Excel to inform decision-making. You'll communicate results effectively, nurture client relationships, and improve project execution while mentoring junior associates.
The Lead Software Engineer will design, develop, and implement advanced contact center platforms focusing on self-service capabilities, manage contractor teams, and automate CI/CD processes. Responsibilities include coding, system performance monitoring, and enforcing security practices while collaborating with cross-functional teams and guiding technical direction.
The role involves leveraging advanced analytics to extract insights from large datasets, leading teams in AI and GenAI solution development, managing project execution, mentoring team members, and ensuring adherence to professional standards. It requires collaboration with clients to identify problems and design effective AI architectures.
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