Description

You will lead the development and implementation of data science solutions, focusing on classical machine learning and computer vision to solve business problems.

This role is on-site.

Responsibilities

• Lead the development and deployment of AI/ML models, with a strong focus on Computer Vision.
• Perform extensive data cleaning, transformation, and feature engineering to prepare diverse datasets.
• Conduct exploratory data analysis to identify patterns, anomalies, and relationships within data.
• Implement rigorous model evaluation techniques, including cross-validation and hyperparameter tuning.
• Collaborate with MLOps and DevOps teams to integrate, deploy, and monitor models in production.

Required Skills

• 5+ years of hands-on experience in developing and deploying AI/ML models.
• Strong proficiency in Python, Machine Learning, and Deep Learning.
• Hands-on experience with TensorFlow and PyTorch frameworks.
• Expertise in Computer Vision and Statistical Modeling.
• Proficiency in SQL for data retrieval and manipulation.
• Experience with data preprocessing and MLOps practices.

Preferred Skills

• Experience with Generative AI models or track record of publications in top-tier AI/ML conferences.
• Familiarity with distributed computing tools like Apache Spark or Kafka.

Key Skills

Education

Any Graduate