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
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