Description
We are seeking a highly skilled and motivated Data Scientist with expertise in machine learning (ML), model development, and MLOps to join our team. The ideal candidate will take ownership of end-to-end data science workflows, from model development and fine-tuning to deployment and production. You will work across various business domains, contributing to the design and implementation of cutting-edge ML models, including large language models (LLMs).
Key Responsibilities:
- Lead end-to-end data science efforts, including ML engineering and MLOps tasks (approximately 50% of role)
- Develop, fine-tune, and implement ML models, particularly LLMs, across various business domains
- Measure, analyze, and evaluate models both in development and in production environments
- Aggregate datasets from diverse domains to build robust, high-quality datasets
- Perform context engineering to enhance model performance and applicability
- Create proof-of-concept (POC) models across different business domains
- Translate POC models into production-grade services as the POCs mature and gain stability
Requirements
Ideal Candidate Profile: The ideal candidate will bring a mix of academic excellence, hands-on experience, and technical expertise. You will thrive in a dynamic environment and possess the following qualifications:
- Proven track record of excellence in ML or related fields (e.g., publications, patents, etc.)
- Deep understanding of Natural Language Processing (NLP), with specific expertise in large language models (LLMs)
- Strong grasp of mathematical and statistical concepts relevant to machine learning
- Experience with model evaluation, particularly in a production setting (preferred)
- Hands-on experience with models in production environments (strong advantage)
- Expertise in MLOps, including model deployment, monitoring, and maintenance (significant advantage)
Technical Skill Set:
- Programming Languages: Python, SQL
- LLMs: GPT family, Claude family
- Machine Learning Frameworks: PyTorch, TensorFlow
- Data Frameworks: Numpy, Pandas
- Pipeline Frameworks (advantageous): Hugging Face, Langchain, WanDB, Traceloop, DeepChecks
- Vector Database Frameworks: Pinecone, QDrant, Faiss, PGVector, or similar
- Cloud Ecosystem Proficiency (advantageous):AWS (e.g., Bedrock, SageMaker, Knowledgebase)
- GCP/Azure
Top Skills
What We Do
Commit is a global tech services company with offices in Israel, US, Canada, UK, and Europe.
The company was founded in 2005 and has over 700 multi-disciplinary innovation experts who serve a broad range of companies, from small startups to large enterprises in multiple business sectors.
Commit specializes in advanced technologies and applications with dedicated practices in Cloud, GenAI, Software, IoT, Big Data, Cyber, Collaboration, Data center migration projects, and more.
Commit offers innovative, end-to-end technology solutions by developing custom software and IoT platforms for clients looking to build their next-gen products within the modern ICT world.
Commit’s complete and comprehensive engineering powerhouse of resources, and proprietary Flexible R&D methodology helps transform its clients’ technology visions into high-quality products while reducing costs and improving time-to-market.
_0.png)
