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.
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What We Do
Ontic provides software that helps corporate and government security teams identify threats, assess risk, and respond faster to keep people and organizations safe. Its Connected Intelligence Platform unifies security operations and data into a centralized system of record, enabling organizations to conduct risk assessments, protect against workplace violence, and manage threats and incidents more efficiently. Fortune 500 companies and federal agencies rely on Ontic to support security programs such as executive protection, threat intelligence, and corporate investigations.
Why Work With Us
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 both our clients and each other with empathy while focusing on the execution of our strategy. And we have fun doing it.
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