Job Description
Key Responsibilities
Develop and implement advanced machine learning models.
Conduct comprehensive data analysis to extract insights and inform decisions.
Lead the development and optimization of AI/ML algorithms.
Deploy and manage scalable data science solutions.
Utilize NLP techniques for data processing and analysis.
Collaborate with cross-functional teams to integrate data-driven solutions.
Qualifications
Bachelor's degree in Computer Science, Data Science, or related field.
Over 4-7 years of experience in data science, deep learning, and machine learning.
Proficiency in Python, PyTorch, and related technologies.
Experience with Transformer-based models, GPT-4, and other language models.
Strong knowledge of data analysis, statistical methods, and algorithm development.
Familiarity with vector databases, cosine similarity algorithms, and MLOps.
Expertise in agile methodologies and data science project lifecycles.
Hand-on experience in RAG.
Skills And Tech Stack
Programming Languages: Python
Frameworks & Libraries: PyTorch, scikit-learn, pandas, NumPy, huggingface.
Data Analysis: Statistical analysis, data visualization, data preprocessing
Databases: Vector databases, PostgreSQL, msSQL, Redis, Qdrant
APIs: RESTful APIs, FastAPI
Skills: machine learning,python,vector
