Duties & Responsibilities

• Design and implement machine learning algorithms to solve complex business challenges.

• Develop predictive models using supervised, unsupervised, and reinforcement learning techniques.

• Clean, analyze, and preprocess large datasets for modeling and performance optimization.

• Work with data scientists and software engineers to integrate ML models into scalable applications.

• Monitor and tune model accuracy, precision, recall, and overall performance.

• Stay updated on the latest ML research, frameworks, and best practices.

• Conduct experiments and A/B testing to evaluate model impact on user behavior.

• Automate data pipelines and workflows for consistent model training and deployment.

• Collaborate with stakeholders to translate business requirements into machine learning solutions.

• Document model architectures, processes, and performance results for internal use and audit purposes.

• Ensure ethical use of data and compliance with AI governance frameworks.

Job Profile

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

• Solid programming skills in Python, R, or Java; familiarity with TensorFlow, PyTorch, or Scikit-learn.

• Strong foundation in statistics, linear algebra, and machine learning concepts.

• Experience with cloud platforms (AWS, Azure, or GCP) for ML model deployment.

• Proficient in handling big data tools like Hadoop or Spark.

• Excellent problem-solving ability and analytical thinking.

• Understanding of MLOps, model versioning, and CI/CD practices.