Sr. Data Scientist

Role overview

Responsibilities

• check_circle Design, build, and deploy scalable machine learning and generative AI solutions in cloud-based environments.
• check_circle Develop and optimize predictive models using Python and modern machine learning frameworks.
• check_circle Leverage Google Cloud Platform (GCP), Databricks, and Kubernetes to operate AI and ML workloads.
• check_circle Integrate large language models (LLMs) and generative AI frameworks into enterprise applications and business processes.
• check_circle Establish monitoring, logging, and performance tracking processes to ensure model reliability, scalability, and governance in production environments.

Basic qualifications

• Bachelor's or master’s degree in computer science, Data Science, Engineering, or a related field.
• 5+ years of experience developing, deploying, and supporting machine learning or AI solutions in enterprise environments.
• Strong programming experience with Python and machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Hands-on experience with Google Cloud Platform (GCP) and Databricks.
• Experience deploying and managing containerized applications using Kubernetes.
• Experience working with Generative AI technologies and frameworks, including Hugging Face, LangChain, or LLM APIs.
• Knowledge of distributed computing and large-scale data processing architectures.
• Experience building and consuming RESTful APIs and microservices.
• Strong communication and collaboration skills with the ability to translate business requirements into technical solutions.

Preferred qualifications

• Experience with Vertex AI and other GCP-native machine learning services.
• Knowledge of MLOps best practices, including CI/CD pipelines and model lifecycle management.
• Experience implementing model monitoring, observability, and governance frameworks.
• Experience working with cloud-native data platforms and data engineering workflows.
• Exposure to responsible AI, prompt engineering, and AI model evaluation methodologies.

Benefits

• check_circle Medical/Dental/Vision/Life Insurance
• check_circle Paid holidays plus Paid Time Off
• check_circle 401(k) plan and contributions
• check_circle Long-term/Short-term Disability
• check_circle Paid Parental Leave
• check_circle Employee Stock Purchase Plan