What are the responsibilities and job description for the ML/AI Developer position at ons?
Position: ML/AI Developer
Location:- Sunnyvale, CA (Hybrid Role)
Contract Position
Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms to address complex challenges in areas such as threat detection, anomaly detection, and risk assessment.
- Develop AI-driven solutions that integrate seamlessly with existing IT infrastructure and security systems.
- Collaborate with cross-functional teams to identify and prioritize AI use cases that align with organizational goals.
- Build and maintain scalable data pipelines to process large volumes of logs, telemetry signals, and other relevant data sources.
- Manage cloud-based AI/ML infrastructure using services such as AWS, Azure, or GCP.
- Develop and maintain CI/CD pipelines for automated model training, testing, and deployment.
- Ensure the security and integrity of AI models and data throughout the development lifecycle.
- Stay current with advancements in AI/ML technologies and security trends to incorporate new techniques into solutions.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- Overall 10 Years experience with 3 years of experience developing and implementing machine learning models, preferably in IT or cybersecurity contexts.
- Strong programming skills in Python and familiarity with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
- Knowledge of data processing tools and big data technologies (e.g., Spark, Hadoop).
- Familiarity with cybersecurity principles and tools such as SIEM or IDS/IPS systems.
- Excellent problem-solving skills with the ability to address complex challenges creatively.
- Strong communication skills and ability to collaborate effectively across teams.
Preferred Qualifications:
- Experience with natural language processing (NLP) or large language models (LLMs).
- Familiarity with DevSecOps practices and tools.
- Knowledge of regulatory compliance requirements (e.g., GDPR, HIPAA).
- Contributions to open-source AI/ML projects or research publications in the field.
Job Types: Full-time, Contract
Pay: $70.00 - $80.00 per hour
Work Location: In person
Salary : $70 - $80
