The ideal candidate will have experience building machine learning models, integrating AI services, and deploying scalable AI-driven applications. You will work closely with data scientists, software engineers, and product managers to design and implement AI solutions that solve real-world problems.
- Design, train, and evaluate machine learning and deep learning models for various business applications.
- Work with structured and unstructured data including text, images, and audio.
- Collaborate with data scientists to implement models in production environments.
- Build APIs and services that expose AI models to end-user applications.
- Deploy models to cloud environments (Azure, AWS, GCP) using containers or serverless functions.
- Optimize models for performance, scalability, and low-latency inference.
- Work with cross-functional teams including software developers, QA, and DevOps.
- Participate in agile development cycles, including sprint planning and code reviews.
- Maintain clear documentation and version control for all AI components.
- Bachelor's or Master’s degree in Computer Science, Data Science, or related field.
- 2+ years experience in AI/ML model development and deployment.
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
- Experience with cloud platforms (Azure, AWS, or GCP).
- Strong understanding of APIs, RESTful services, and containerization (Docker, Kubernetes).
- Experience with NLP, computer vision, or time-series forecasting.
- Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Kubeflow).
- Knowledge of data engineering tools such as Spark, Airflow, or Kafka.
- Prior experience deploying AI models in enterprise or production settings.
- Strong analytical and problem-solving skills.
- Excellent communication and team collaboration.
- Self-driven with a commitment to continuous learning and improvement.
Harel Mallac Technologies Ltd. is an Equal Opportunity Employer. Please consult our Privacy Notice on www.harelmallac.com to know more about the way in which we use your personal data.