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Concurrency

Senior Machine Learning Engineer

Remote US
Git Spark NumPy TensorFlow GCP Deep Learning Azure Kubernetes Python Pandas SQL AWS Docker Machine Learning PyTorch
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Description
Who We Are  
At Concurrency, we embody innovation. We're not just tech consultants; we are forward thinkers with a purpose. Our team thrives on disrupting the norm, constantly seeking the next challenge and pushing boundaries to redefine what's achievable. Recognized as a Microsoft Gold Partner, a ServiceNow Elite Partner, and recipient of multiple Partner of the Year awards, Concurrency is synonymous with excellence. If you're fueled by the desire to transform technology into real-world solutions, join us and unleash your potential as a change catalyst. 
 
Who We’re Looking For  
We’re excited to add a Senior Machine Learning Engineer to our Data & AI team. In this role, you’ll be responsible for designing and engineering ML systems that solve customer problems across Manufacturing, Retail, Agriculture, Education, Hospitality, and more. You’ll serve as a forward-thinking technical thought leader with a passion for aligning technical solutions to customer and business needs. 
 
At Concurrency, we believe in living out our core values every day. These principles guide our actions, decisions, and interactions: 
 
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. 

What You'll Do

  • 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  

What You'll Need

  • 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 

What Will Set You Apart

  • Having most of the above characteristics and experiences 
  • Above average experience in cloud development 
  • Strong software engineering experience 
  • Experience working in a professional services organization 
  • Product mentality but a professional services approach 
Concurrency is committed to revolutionizing consulting by embracing diverse perspectives, fostering collaboration, and promoting resilience. Our workplace is both innovation-driven and enjoyable. We provide flexible work schedules, competitive compensation, and comprehensive benefits for our employees and their families. Additionally, all team members have access to recognition programs, comprehensive training opportunities to thrive both professionally and personally. 
Concurrency
Concurrency
CRM Information Technology Software

1 applies

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