Software Engineer II – Full Stack
Modivcare
AWSDynamoDBNoSQLPythonReactSQL
Software Engineer – AI/ML
Sumitomo Mitsui Banking Corporation – SMBC Group
full-time
Posted on:
Location Type: Remote
Location: Remote • Arizona, California, Connecticut, Florida, Illinois, Massachusetts, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Texas, Utah, Virginia, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $104,000 - $170,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AzureCloudDockerGoogle Cloud PlatformJavaKubernetesPythonPyTorchScalaScikit-LearnSparkTensorflow
About the role
- Design, build, and deploy scalable AI/ML applications across multiple banking domains.
- Collaborate with cross-functional teams to identify and deliver AI/ML use cases.
- Implement and manage ML pipelines using MLOps tools (e.g., Vertex AI Pipelines, Kubeflow, MLflow).
- Develop and optimize models using frameworks such as TensorFlow, PyTorch, scikit-learn, or Spark ML.
- Apply advanced GenAI techniques, including RAG, fine-tuning, LLM evaluation, and monitoring.
- Build intelligent agents using frameworks like LangChain, CrewAI, or similar.
- Ensure robust deployment using containerization (Docker, Kubernetes) and CI/CD best practices.
- Leverage cloud platforms (preferably GCP) for scalable AI/ML solutions.
- Apply Agile, DevOps, and CI/CD best practices including automation and monitoring.
- Maintain code quality, documentation, and performance across the full development lifecycle.
- Ensure alignment with technical, data, and security standards.
Requirements
- Bachelor’s degree in Engineering, Computer Science, or related technical field (or equivalent practical experience)
- 5+ years in software development with strong knowledge of data structures and algorithms
- 3+ years in machine learning, AI, deep learning, or NLP using tools like TensorFlow or PyTorch
- 3+ years in software design, architecture, testing, and product launch
- 3+ years working in complex, matrixed environments with cross-functional teams
- Experience with GenAI and agent-based AI solutions.
- Programming: Python, R, Scala, Java
- Platforms: GCP, Azure
- Tools: Vertex AI, MLflow, Kubeflow, ADK, LangChain
- Practices: MLOps, LLMOps, ML lifecycle integration
- Infrastructure: Docker, CI/CD, test automation, monitoring
- Modeling: Predictive modeling, GenAI use cases, Agentic AI
- Knowledge Areas: Google AI/ML portfolio, ML infrastructure implementation, AI/ML use case development and deployment across domains
Benefits
- Competitive portfolio of benefits to its employees
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningartificial intelligencedeep learningnatural language processingdata structuresalgorithmspredictive modelingGenAIprogrammingsoftware design
Soft skills
collaborationcross-functional teamworkcommunicationproblem-solvingadaptabilityleadershiporganizational skillsattention to detailcritical thinkingtime management
Certifications
Bachelor’s degree in EngineeringBachelor’s degree in Computer ScienceMLOps certificationAI/ML certification
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