Description

You will design and deploy machine learning models to solve complex problems using large-scale datasets.

Responsibilities

• Develop and implement supervised, unsupervised, and deep learning algorithms.
• Apply time series analysis, NLP, and GenAI techniques to production workloads.
• Build full-stack web applications using Flask and Panel to interface with models.
• Deploy and monitor machine learning models within cloud environments.
• Perform feature engineering and rigorous model evaluation to ensure performance.

Required Skills

• 10+ years of professional experience in data science or machine learning engineering.
• Expert-level Python programming and ML code development.
• Deep knowledge of PyTorch, Scikit-learn, NLTK, Llama-index, and LangChain.
• Proficiency in data manipulation and analysis using SQL and Spark.
• Hands-on experience with AWS cloud computing platforms.
• Strong mathematical background and understanding of statistical concepts.
• Experience applying state-of-the-art ML/DL to large-scale datasets.
• Working experience with full-stack web development using Flask and Panel.

Key Skills

Education

Any Graduate