Technical Requirements:

Bachelor’s, Master’s, or PhD in a STEM field (Science, Technology, Engineering, or Mathematics)

5+ years of experience in machine learning and large-scale data processing with expertise in:

Python, SQL, and data processing frameworks (Pandas, NumPy, PySpark, Dask)

Big data tools (Hadoop, Apache Spark, or similar)

Machine learning frameworks (TensorFlow, PyTorch, or similar)

Building and deploying large language models (LLMs) and generative AI systems

REST APIs and microservices architecture for scalable AI solutions

Version control (Git) and CI/CD pipelines for MLOps

Data visualization tools (Tableau, Power BI, or similar)

NLP and generative AI techniques for text analysis and automation

Feature engineering, selection, and time series forecasting

Database management (SQL and NoSQL)

Required Skills:

Proven ability to process, analyze, and report on large-scale datasets

Strong mathematical and statistical foundation

Expertise in building data-driven reporting systems and tools

Hands-on experience with LLM optimization and generative AI pipelines

Knowledge of cloud platforms (AWS, Google Cloud, or Azure) for scalable data processing

Strong communication skills to collaborate with data teams and business stakeholders

Understanding of data security and compliance best practices

Preferred Qualifications:

Experience with distributed computing and big data architectures

Familiarity with LangChain, LlamaIndex, Hugging Face, and similar LLM-focused tools

Knowledge of A/B testing and experimental design for data-driven insights

Proficiency in containerization and orchestration (Docker, Kubernetes)

Published research or contributions to AI/ML open-source projects

Experience with advanced model optimization and hardware acceleration

To apply, send your resume to hr@msezy.com