Senior Machine Learning Engineer (AI)

Company

hirify.global delivers AI-led professional and managed cloud services across AWS and Salesforce, supporting migrations, implementations, and ongoing cloud operations.

What you will do

• Lead the architecture, development, and production deployment of machine learning models for predictive analytics, NLP, and Generative AI/RAG systems.
• Design enterprise MLOps strategies, including CI/CD, automated training, monitoring, model versioning, and governance.
• Build scalable AWS AI/ML solutions using services such as SageMaker and Bedrock, with attention to performance and cost efficiency.
• Architect data infrastructure, ETL pipelines, feature stores, vector search, and semantic retrieval for unstructured data.
• Advise enterprise customers and internal executives, lead technical workshops, and translate business constraints into scalable ML architectures.
• Mentor junior and mid-level engineers and establish engineering and architectural best practices.

Requirements

• 5+ years of hands-on experience as a Machine Learning Engineer or highly technical Data Scientist, including production deployment of scalable ML models.
• Bachelor’s degree in Computer Science, Mathematics, Information Systems, or a related quantitative field; a graduate or master’s degree is preferred.
• Expert Python skills and strong experience with PyTorch, TensorFlow, Scikit-learn, and Hugging Face.
• Hands-on expertise in Generative AI, LLMs, fine-tuning, domain-specific prompting, and RAG pipelines.
• Extensive AWS architecture experience, including SageMaker, Bedrock, EC2, EMR, and Redshift; experience with Spark, Kafka, Kinesis, Elasticsearch, or Hadoop.
• Advanced SQL, relational and NoSQL database knowledge, scalable data modeling, and customer-facing technical leadership.
• Fluency in Hebrew and English is essential.

Nice to have

• Master’s or graduate degree in a related quantitative field.
• AWS Certified Machine Learning – Specialty.
• AWS Certified Solutions Architect certification.

Culture & Benefits

• Work alongside leaders who support learning and personal development.
• Collaborate with colleagues and customers while pursuing technical excellence.
• Contribute to a culture of continuous learning and innovation.