Job ID: JOB_ID_4575
Role Summary
The Senior Data Scientist will be responsible for building and deploying machine learning models in production. This role requires expertise in LLMs, transformer architectures, and transfer learning, with a strong proficiency in Python and ML libraries like PyTorch or TensorFlow. Experience with cloud ML platforms, containerization (Docker/Kubernetes), and MLOps tools is essential. The ideal candidate will have a solid understanding of statistical modeling and optimization methodologies, coupled with strong communication skills for collaboration in fast-paced environments.
Required Qualifications
- Master’s or PhD in Computer Science, Data Science, Machine Learning, AI, or related field.
- 8+ years of hands-on experience building and deploying machine learning models in production.
- Proven expertise with LLMs, transformer architectures, transfer learning, and model fine-tuning.
- Strong proficiency in Python, PyTorch or TensorFlow, and ML libraries such as Transformers.
- Experience with cloud ML platforms, containerization (Docker/Kubernetes), and MLOps tools.
- Solid understanding of statistical modeling, optimization, and evaluation methodologies.
- Strong communication skills and ability to collaborate in cross-functional, fast-paced environments.
Preferred Qualifications
- Experience working in fintech, payments, banking, or fraud/risk environments.
- Background in vector databases, RAG pipelines, and knowledge graph integration.
- Experience with data privacy, model governance, and Responsible AI frameworks.
- Contributions to open-source AI/ML communities or research publications.
Keywords
artificial intelligence, machine learning, information technology
Compensation & Location
Salary: $150,000 – $200,000 per year (Estimated)
Location: Washington, DC
Recruiter / Company – Contact Information
Email: kumari.staffing@gmail.com
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