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.

As Ontic employees, we put our mission first and value the trust bestowed upon us by our clients to help keep their people safe. We approach our clients and each other with empathy while focusing on the execution of our strategy. And we have fun doing it.

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 & Perks

Competitive Salary

Medical Benefits

Internet Reimbursement

Home Office Stipend

Continued Education Stipend

Festive & Achievement Celebrations

Dynamic 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.

Ontic Benefits & Perks

Competitive Salary

Medical, Vision & Dental Benefits

401k

Stock Options

HSA Contribution

Learning Stipend

Flexible PTO Policy

Quarterly company ME (mental escape) days

Generous Parental Leave policy

Home Office Stipend

Mobile Phone Reimbursement

Home Internet Reimbursement for Remote Employees

Anniversary & Milestone Celebrations

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.

All Ontic employees are expected to understand and adhere to all Ontic Security and Privacy related policies in order to protect Ontic data and our clients data.