Concurrency, Inc. is a premier technology consulting company that aids enterprises in leveraging artificial intelligence, cloud services, and Microsoft technologies to enhance business operations and drive innovation. As a top Microsoft AI partner, Concurrency focuses on AI strategy, seamless IT integration, and security, offering solutions like secure cloud adoption, ServiceNow implementation, and business applications modernization. They cater to industries such as manufacturing, financial services, healthcare, retail, and energy. Through transformative digital operations and deep partnerships with clients, Concurrency delivers actionable insights and education across diverse sectors, ensuring sustained business performance and growth.
Microsoft • System Center • SharePoint • Dynamics CRM • Exchange
September 20, 2024
AWS
Azure
Cloud
Docker
Google Cloud Platform
Kubernetes
Numpy
Pandas
Python
PyTorch
Scikit-Learn
ServiceNow
Spark
SQL
Tensorflow
Go
Concurrency, Inc. is a premier technology consulting company that aids enterprises in leveraging artificial intelligence, cloud services, and Microsoft technologies to enhance business operations and drive innovation. As a top Microsoft AI partner, Concurrency focuses on AI strategy, seamless IT integration, and security, offering solutions like secure cloud adoption, ServiceNow implementation, and business applications modernization. They cater to industries such as manufacturing, financial services, healthcare, retail, and energy. Through transformative digital operations and deep partnerships with clients, Concurrency delivers actionable insights and education across diverse sectors, ensuring sustained business performance and growth.
Microsoft • System Center • SharePoint • Dynamics CRM • Exchange
• You’ll help our data science team grow by sharing your ideas, challenging status quo, and influencing the direction of the team • You’ll demonstrate a broad knowledge of ML approaches and are pragmatic about solutions. E.g., you create business value and fit models • You’ll work across supervised, unsupervised, and deep learning approaches while being comfortable using inferential statistics, time series, LLMs, or computer vision approaches to solve a given problem (we don’t expect expertise in all!) • You’ll design, engineer, test, document, and explain production ML systems in Azure, Python, SQL, and Git • You’ll take the lead gathering input from non-technical customer stakeholders and senior IT leadership to plan what to build and set project scope • You’ll frame complex problems and propose options to either use data when it’s available or pursue alternatives when it’s not • You’ll take the lead in technical design discussions, remove blockers, and align stakeholders • You’ll use Big Data tools (Databricks, Spark, Azure, SQL, Python) to carry out supporting analyses and build production solutions • You’ll fit, tune, test, validate, and deploy ML models in an MLOps setting to solve real-world problems • You’ll discuss project issues and topics simply when presenting to customers
• Strong coding skill in SQL and Python (especially pandas, numpy, scikit-learn, Tensorflow/PyTorch) • Experience designing and implementing LLM systems. (Multi-tooled single agents, multi-agent systems, custom routing and gateways) • Relative experience (~20+ projects) in cloud development. Azure is preferred but AWS and GCP are acceptable too • Professional experience using Databricks/Spark and Docker/Kubernetes • 7+ years experience owning ML systems from idea to maintenance • Demonstrable thought leadership evidenced by an active GitHub, blog posts, or publication record • Deeply curious and motivated by challenge. Does not shy away from potential failure • Willing to challenge the status quo to propose improvements • Can communicate simply and intuitively to diverse audiences with varying technical background • Proven success with--and interest in--owning end-to-end projects solo but knowing when to escalate and delegate • Experience with--and interest in—developing in a production MLOps setting • Practical experience with tools for the ML lifecycle, including EDA, data prep, data verification, modeling, testing, deploying, and relevant object-oriented software development tasks • Experience using data visualization to understand and persuade
• Be Yourself: Be the best version of your whole self. Your authenticity matters. • Be Bold: Bravely and respectfully take risks and challenge the norm. • Have a Growth Mindset: Be open to learning and apply your expertise. • Be the Difference: Ensure that every interaction with your colleagues, clients and community improves their lives. Pay it forward. • Assume Positive Intent: Lead with giving the benefit of the doubt.
Apply NowSeptember 16, 2024
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