1 day ago
Base Salary
$82k - $193k/yr
Responsibilities
- Translate business requirements into scalable, secure, high-performance AI architecture blueprints.
- Write clean, modular, maintainable production code for custom AI solutions, pipelines, and integrations.
- Select, tune, quantize, prune, and optimize LLM, SLM, and traditional machine learning models.
- Design scalable machine learning infrastructure across on-premises, cloud-hybrid, and multi-cloud environments.
- Integrate AI services with enterprise software, security, compliance, and data governance frameworks.
- Develop RESTful APIs and data pipelines, and implement model versioning, monitoring, and AI CI/CD practices.
- Lead development activities, mentor junior staff, and promote code quality and model security.
- Maintain architectural documentation, including data flow diagrams and API specifications.
- Apply data privacy standards and secure AI development practices.
Requirements
- 10+ years of experience designing, developing, and delivering enterprise-scale technology solutions, including AI/ML architectures.
- Experience designing scalable machine learning infrastructure in on-premises, cloud-hybrid, or multi-cloud environments.
- Ability to evaluate and select models based on latency, cost, and accuracy requirements.
- Proficiency with Python-based frameworks including PyTorch, TensorFlow, LangChain, and LlamaIndex.
- Hands-on experience with MLflow, Kubeflow, and Weights & Biases for model versioning and monitoring.
- Strong RESTful API development and data pipeline architecture experience using technologies such as FastAPI, Flask, Apache Airflow, Kafka, and Spark.
- Deep understanding of neural networks, transformer architecture, loss functions, and optimization.
- Strong proficiency in Python and SQL, with familiarity with C++ or Go for high-performance components.
- Expertise with Docker and Kubernetes for containerization and orchestration.
- Experience with vector databases such as Pinecone, Milvus, and Weaviate, as well as traditional relational and NoSQL databases.
- Ability to work within an Agile/Scrum framework and document technical architectures comprehensively.
Benefits
- Hybrid work arrangement in Long Beach, California, with three days per week onsite.
- Paid time off, including 12–25 vacation days depending on employee grade, company holidays, personal days, and sick leave.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans such as 401(k) in the U.S. and RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs and other benefits subject to local policy and eligibility.
- Comprehensive benefits package for regular, full-time employees.
Tech Stack
Apache AirflowApache KafkaApache SparkC++DockerFastAPIFlaskGoKubernetesMLflowPythonPyTorchSQLTensorFlow
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.