Senior Machine Learning Engineer
Indexed description
What you’ll do
- Design, develop, and deploy machine learning models for various business needs.
- Collaborate with cross-functional teams, product managers, and software engineers, to integrate ML solutions into production systems.
- Experiment with and iterate on model architectures to improve accuracy, efficiency, and scalability.
- Work with large datasets to preprocess, clean, and extract meaningful features for model training.
- Utilize MLOps best practices to automate and streamline the development lifecycle of ML models.
- Monitor model performance and fine-tune for optimization.
- Stay updated with the latest research and advancements in machine learning and AI.
- Strong foundation in machine learning techniques such as supervised and unsupervised learning, deep learning, and vision/NLP experience.
- Proficiency in Python, along with popular ML libraries and frameworks such as PyTorch, Scikit-Learn, pandas, NumPy, SciPy, TensorFlow.
- Experience with data preprocessing and feature engineering for structured and unstructured data.
- Knowledge of model deployment and serving, using tools like Docker, Kubernetes, or cloud-based services (AWS, GCP, Azure).
- Familiarity with MLOps tools for automation and monitoring (e.g., MLFlow, ClearML).
- Experience with SQL for data extraction and analysis (optional).
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
- 7+ years of experience in software development, including at least 3 years of experience in the machine learning domains.
- Experience working in a B2C company or a similar high-paced environment is an advantage.
- Proven track record of implementing impactful machine learning solutions in production.
- Strong analytical mindset, with the ability to tackle complex problems with creativity and efficiency.
- Excellent communication skills for conveying technical ideas to both technical and non-technical stakeholders.
- High level of attention to detail and quality in your work.
- Ability to work effectively in a team environment, while also being a self-starter when working independently.
- Curious and eager to keep learning about the latest trends in AI and machine learning.
- Comfortable in a fast-paced, dynamic work environment with changing priorities.
Benefits at MyHeritage
Our employees enjoy a range of benefits to enhance work-life balance and well-being:
- Hybrid work model
- Modern, beautiful office in Or Yehuda with shuttle service from Tel Aviv and employee parking (for our Or Yehuda employees)
- On-site gym and pilates classes
- Dog-friendly office
- Well-stocked kitchens and a monthly meal allowance
- Fully funded supplemental health insurance
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