Machine Learning Developer

Who We Are
Ontic makes software that corporate and government security professionals use to proactively manage threats, mitigate risks, and make businesses stronger. Built by security and software professionals, the Ontic Platform connects and unifies critical data, business processes, and collaborators in one place, consolidating security intelligence and operations. We call this Connected Intelligence. Ontic serves corporate security teams across key functions, including intelligence, investigations, GSOC, executive protection, and security operations.

Key Responsibilities

• Design, develop, and optimize machine learning models for various business applications.
• Build and maintain scalable AI feature pipelines for efficient data processing and model training.
• Develop robust data ingestion, transformation, and storage solutions for big data.
• Implement and optimize ML workflows, ensuring scalability and efficiency.
• Monitor and maintain deployed models, ensuring performance, reliability, and retraining when necessary.

Qualifications and Experience

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 4+ years of experience in machine learning, deep learning, or data science roles.
• Proficiency in Python and ML frameworks/tools such as PyTorch, Langchain
• Experience with data processing frameworks like Spark, Dask, Airflow and Dagster
• Hands-on experience with cloud platforms (AWS, GCP, Azure) and ML services.
• Experience with MLOps tools like ML flow, Kubeflow
• Familiarity with containerisation and orchestration tools like Docker and Kubernetes.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Strong communication and collaboration skills.

Ontic Benefits & PerksCompetitive SalaryMedical BenefitsInternet ReimbursementHome Office StipendContinued Education StipendFestive & Achievement CelebrationsDynamic Office Environment
Ontic is an equal opportunity employer. We are committed to a work environment that celebrates diversity. We do not discriminate against any individual based on race, color, sex, national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any factors protected by applicable law.