Description

You will design, deploy, and maintain machine learning solutions to solve complex business problems.

Responsibilities

• Translate business requirements into functional AI/ML, NLP/NLU, and deep learning solutions.
• Preprocess and analyze large datasets to extract actionable patterns and insights.
• Develop, validate, and optimize models to ensure accuracy and generalizability.
• Deploy models and applications into cloud environments.
• Monitor production model performance and implement updates or improvements as required.
• Document development processes and results to support knowledge sharing.

Required Skills

• 10+ years of experience in data science roles.
• Proficiency in Python and SQL.
• Experience developing and deploying AI/ML and deep learning solutions using Scikit-learn, TensorFlow, or PyTorch.
• Hands-on experience with MLOps tools including MLflow, Kubeflow, and CI/CD pipelines.
• Working knowledge of math, probability, and statistics.
• Familiarity with various ML algorithms.
• Experience with cloud infrastructure such as AWS, GCP, or Azure.
• Experience with ETL and Datawarehouse tools like Azure Data Factory, Azure Data Lake, or Databricks.
• Bachelor's or master's degree.

Preferred Skills

• Exposure to Gen AI, Vector DB, and LLMs.
• Experience with Flask, Django, or Streamlit.
• Knowledge of Docker and Kubernetes.

Key Skills

Education

Bachelor's or master's degree