Description

You will develop and deploy machine learning models to solve business problems and drive decision-making.

This role is on-site.

Responsibilities

• Develop machine learning models and algorithms to extract insights and automate data processing pipelines.
• Perform exploratory data analysis to identify trends, patterns, and anomalies in large datasets.
• Collaborate with data engineers to collect, clean, and process data.
• Test, validate, and optimize models for performance and scalability in production environments.
• Translate business requirements into technical machine learning solutions and communicate results to stakeholders.

Required Skills

• 4-7 years of experience in Data Science, including at least 3 years in AI/ML development.
• Proficiency in Python and R for building machine learning models.
• Strong understanding of supervised, unsupervised, deep learning, and reinforcement learning algorithms.
• Hands-on experience with TensorFlow, Keras, PyTorch, or Scikit-learn.
• Experience with data wrangling, feature engineering, and model evaluation.
• Strong knowledge of SQL for querying large datasets.
• Familiarity with data visualization tools such as Matplotlib, Seaborn, or Tableau.
• Experience with cloud platforms including AWS, Azure, or GCP.
• Any Graduate degree.

Preferred Skills

• Experience with Docker and Kubernetes for model deployment.

Key Skills

Education

Any Graduate