AI Jobs

Education Requirements:

• Graduate degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science

Experience Requirements:

• 7+ years of experience as a Data Scientist or Machine Learning Solutions Architect

• 5+ years of proficiency in Python for data analysis, model training, evaluation, deployment, and optimization

• 1+ year of experience with technologies related to large language models

Other Requirements:

• Experience with open source frameworks like LangChain and LlamaIndex

• Knowledge of prompt engineering and state-of-the art model architectures

• Familiarity with AWS, Azure & Google services and the cloud computing landscape

• Knowledge of model deployment technologies such as TorchServe, ONNX, Triton, vLLM

• Familiarity with big data technologies such as Hadoop, Spark, and MongoDB

Responsibilities:

• Help lead the data science team fostering innovation and excellence

• Develop technical assets and IP across automated pentesting and real-time monitoring

• Engage with product owners to influence product direction

• Track and analyze emerging threats to AI systems

• Develop and implement detection and mitigation strategies for identified threats

Benefits:

• Competitive salary and equity package

• Comprehensive medical, dental, and vision insurance

• Flexible work hours and remote-friendly policies

• State-of-the-art tools and equipment

• Professional development through technical talks, conferences, and leadership opportunities

Experience Requirements:

• 6+ years of Senior Software experience designing, building, and maintaining software systems

• Proven experience building and managing complex distributed systems in production

• Hands-on experience with Kubernetes and the Cloud Native ecosystem (e.g., Helm, Istio, Prometheus)

Other Requirements:

• Proficiency in modern Python and at least one strongly typed language (Go, Java, C#, or C++)

• Strong experience with Infrastructure as Code (IaC) tools like Terraform, AWS CloudFormation, or Pulumi

• Demonstrated experience operating production systems with SLAs

• Expertise in setting up robust monitoring and alerting systems

• Passion for working in an agile, fast-paced startup environment

Responsibilities:

• Build and Maintain Software Engineering Practices and pipelines

• Collaborate across Product Managers, UX Designers, and Data Scientists

• Architect and manage cloud infrastructure using Infrastructure as Code (IaC) tools

• Monitor and optimize the performance, reliability, and scalability of production systems

• Build and manage Kubernetes clusters and leverage the cloud-native ecosystem