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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and optimizing scalable machine learning pipelines and deep learning models, with a strong focus on performance and integration with cloud services. Proven ability to lead technical teams and collaborate effectively across disciplines to achieve business objectives.
Highest-signal resume keywords
Machine Learning FrameworksDistributed Computing FrameworksCloud Computing ServicesTechnical LeadershipGenerative AI Applications
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonMachine LearningDeep LearningHyperparameter OptimizationModel TrainingDistributed TrainingCI/CD FrameworksContainerizationAgentic AI ApplicationsScalable Code
Soft Skills
CollaborationTechnical GuidanceCommunicationProblem-SolvingLeadership
Tools & Technologies
SparkKubernetesTensorFlowPyTorchKerasHuggingFace TransformersAzure MLVertex AIPGVectorPinecone
Industry Keywords
IT/OT ProductsMachine Learning PipelinesModel PerformanceScalabilityData ScienceData EngineeringCloud MLModel DeploymentProduction-Level CodeTechnical Discipline
Tech Stack
Tools & technologiesAzureCloudGoogle Cloud PlatformKerasKubernetesPySparkPythonPyTorchScikit-LearnSparkTensorflow
About the role
Key responsibilities & impact- Provide technical guidance and support to a team of AI engineers
- Collaborate with Data Science and Data Engineering teams on machine learning system challenges at scale
- Build scalable machine learning pipelines for model training and deployment in the IT/OT Products space using distributed training systems
- Optimize distributed training execution, including hyperparameter optimization, model training and inference latency, and system-level bottlenecks
- Research and implement state-of-the-art LLM models for business use cases, including fine-tuning and serving LLMs
- Ensure machine learning model performance, uptime, scalability, code quality, design quality, and monitoring
- Optimize integration between machine learning libraries and cloud ML and data processing frameworks
- Build deep learning models and algorithms with optimal parallelism and performance on CPUs and GPUs
- Collaborate with related technology groups and leadership to align project requirements with business objectives
- Report directly to the Director of Data Science
Requirements
What you’ll need- Bachelor’s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics
- 6+ years of industry experience writing production-level, scalable code, such as Python
- 5+ years of experience with machine learning topics including classification, clustering, optimization, recommendation systems, or deep learning
- 5+ years of industry experience with distributed computing frameworks such as Spark and the Kubernetes ecosystem
- 5+ years of industry experience with machine learning frameworks and libraries such as Spark MLlib, Keras, TensorFlow, PyTorch, HuggingFace Transformers, scikit-learn, spaCy, and Gensim
- 5+ years of industry experience with major cloud computing services such as Azure or GCP
- 1+ years of experience building and scaling Generative AI applications using frameworks such as LangChain, PGVector, Pinecone, AzureML, or Vertex AI
- Experience building Agentic AI applications
- 2+ years of technical leadership leading junior engineers in a product development setting
- Experience with Python/PySpark coding
- Experience with containerization services
- Experience with Azure ML or Vertex AI for model deployment
- Experience working in CI/CD frameworks
Benefits
Comp & perks- Employer-subsidized Medical, Dental, Vision, and Life Insurance
- Short-Term and Long-Term Disability
- 401(k) match
- Flexible Spending Accounts
- Health Savings Accounts
- Employee Assistance Program (EAP)
- Educational Assistance
- Parental Leave
- Paid Time Off for vacation, personal business, sick time, and parental leave
- 12 Paid Holidays