Job Details:

Job Description: 

cnvrg.io (an Intel company) is building the future of AI cloud. As we continue to expand our data science team, we are seeking a highly skilled and experienced Senior Data Scientist to join our team in Jerusalem and Tel-Aviv.

Position Overview:

We are looking for a talented and motivated individual with a strong background in data science, machine learning, and a proven track record of successfully delivering impactful projects. The ideal candidate will possess a Master's or Ph.D. in a relevant field, along with at least 5 years of hands-on experience in the industry.

Responsibilities:

* Research and Innovation:

Lead and contribute to research projects, demonstrating a deep understanding of LLMs and their applications in various contexts.

Contribute to the company's innovation initiatives through the exploration and implementation of cutting-edge techniques.

• Machine Learning Model Development:

  Design, develop, and implement advanced machine learning models (LLMs, diffusion models) for production environments

  Experience with Large Language Models (LLMs) is crucial, with an emphasis on training, fine-tuning, and inference.

• Tool Proficiency:

  Utilize and be proficient with tools such as Kubeflow and ML flow to streamline the end-to-end machine learning workflow.

  Collaborate with cross-functional teams to integrate machine learning models into production environments.

• Optimization:

  Optimize model performance in terms of both speed and accuracy.

  Implement best practices for efficient model inference and fine-tune models for maximum efficiency.

• Collaboration and Communication:

  Work closely with product managers, data engineers, software developers, and other stakeholders to gather requirements and deliver solutions that meet business needs.

  Communicate complex technical concepts to non-technical stakeholders effectively.

Qualifications:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
• Minimum of 7 years of professional experience in data science, machine learning, or a related field.
• Experience as NLP engineer in a software company
• Proficiency in conducting cutting-edge research in Large Language Models (LLMs)
• Track record of independent research excellence
• Hands-on experience with tools such as Kubeflow and MLflow.
• Strong programming skills in languages like Python or R.
• Experience optimizing models for both speed and accuracy.

Advantages:

• Experience with distributed computing frameworks (e.g., Apache Spark).
• Knowledge of containerization technologies (e.g., Docker, Kubernetes).
• Background in optimizing machine learning models for deployment on cloud platforms.
• Familiarity with other automated machine learning (AutoML) frameworks.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (Israel)

Primary Location: 

Israel, Tel Aviv

Additional Locations:

Business group:

Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.