Machine Learning Engineer

Key Skills: Machine Learning, Data Engineering, Python, TensorFlow, PyTorch, Statistical Analysis, Cloud Platforms (AWS/GCP/Azure), Data Structures, Big Data, ML Frameworks, Model Optimization, Predictive Modeling.

Key Responsibilities:

• Develop and implement data-driven ML predictive models to advance intelligent automation and reporting.
• Assess, analyze, and organize large datasets to extract meaningful insights.
• Execute tests to validate machine learning models and algorithms.
• Optimize machine learning models for improved performance and accuracy.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
• Monitor and maintain machine learning models to ensure ongoing accuracy and efficiency.
• Research and stay updated on the latest advancements in machine learning and ML techniques and applications.
• Document processes, methodologies, and model performance for transparency and reproducibility.
• Troubleshoot and resolve issues related to machine learning model deployment and operation.
• Mentor and provide technical guidance to junior engineers, sharing best practices and fostering a culture of continuous learning.

Experience Requirement:

• 6-13 years of experience in machine learning, data engineering, or software development.
• Strong programming skills and proficiency in languages commonly used for ML and related tasks.
• Big Data skills and proficiency in data structures, modeling, and visualization.
• Proven background in statistical analysis and data analysis to support model training and evaluation.
• Excellent communication skills for working with stakeholders and translating technical concepts.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn); experience with production-quality code.
• Strong background in statistics, mathematics, and data science.
• Experience with cloud platforms (AWS, GCP, Azure) and deploying ML models at scale is a plus.

Education:  Any Post Graduation, Any Graduation