Job Title: ML Engineer
Duration: Direct Hire
Location: REMOTE

About the ML Engineer role:
You are an expert at finding patterns and explaining insights from application & event data using supervised and unsupervised ML approaches to customers. Our AI insights & signals are the source of powering orchestrated actions (next-best action) that improve GTM performance of customer-centric organizations. You will be accountable for the development & packaging, fine-tuning, and performance monitoring of the Client's products (Cohorts AI & Growth AI). A summary of your responsibilities is below:

• Field-deployed AI/ML Engineer working across 1 - 5 customers
• Analyzing diverse and dynamic data sets across application telemetry, CRM, Support, Accounting / Billing, Website Analytics, and other common enterprise data sources.
• Utilize our auto feature engineering assets focused on large telemetry data sets (TBs to PBs)
• Deploy, train, test, and monitor AI products at scale within a customer’s operating architecture in platforms such as Vertex AI
• Engage with other client-deployed colleagues on the explanation of data insights, confirmation of design requirements, root cause analysis, etc.
• Work with Customers on AI feature roadmaps (incl. GenAI applications) for their models and ongoing performance management of deployed AI models
• Collaborate with Client's colleagues, Customer Cloud Ops, and Partners on ML ops, integrations, and performance management
• Contribute to Client's codebase for auto-feature engineering, AI product packaging, next best action logic, and more

Basic Qualifications - Must have:

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or other related field
• 3+ years of relevant experience in data science or product development
• Experience with data science and cloud computing environments like VertexAI, Sagemaker, or similar tools
• Demonstrated success in the use of clustering, classification, regression, decision trees, etc., to deliver transformative insights
• Strong experience in building, training, and tuning predictive machine learning, especially in the domains of next best offer or recommended action based on time-series type data sets
• Experience in Natural Language Processing (NLP) for sentiment analysis and behavioral modeling
• Hands-on experience with Pandas, Polars, and/or Dask (Coiled) for data transformation & feature engineering

Advanced Qualifications - Nice to have:

• Master's degree in Computer Science, Data Science, Applied Statistics, or a related field
• Deployment architecture experience for MLOps optimization using technologies like Dagster ora  similar tool
• Experience in the use of Large Language Models (LLMs, both Open Source & Proprietary), Embeddings algorithms, Vector DB,s and APIs to create GenAI applications
• Familiarity with technologies and/or data architectures such as Pendo, Salesforce, and Open Telemetry
• Direct experience in the use of AI/ML to automate essential business processes that have an impact on Field teams or Customers

 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 115000.00/Yearly.