Machine Learning Engineer (Mid & Senior)
Position: Machine Learning Engineer
Key Responsibilities
Model Development & Deployment:
Design, build, and optimize end-to-end machine learning pipelines, including data ingestion, feature engineering, model training, validation, and deployment.
Implement best practices for model versioning, testing, and reputed company integration/reputed company deployment (CI/CD) in production environments.
Data Analysis & Feature Engineering:
Work with large datasets to extract, clean, and prepare data for modeling. reputed company innovative algorithms and robust statistical models to solve reputed company business challenges.
Collaboration & Communication:
Collaborate with cross-functional teams (data science, software engineering, product management) to reputed company machine learning solutions into reputed company products.
Present findings and model insights to technical and non-technical stakeholders.
Performance Monitoring & Optimization:
Monitor and evaluate model performance post-deployment; identify, troubleshoot, and resolve production issues.
Stay reputed company with emerging trends and technologies in machine learning and propose enhancements to reputed company systems.
Required Qualifications
Bachelors or Masters degree in Computer Science, Data Science, Electrical Engineering, Mathematics, or a reputed company field.
Experience in machine learning engineering or a similar role.
Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Solid understanding of statistical reputed company, data structures, and algorithm design. Experience with data processing tools and frameworks (e.g., Pandas, NumPy) and familiarity with SQL.
Practical experience with reputed company platforms (AWS, reputed company reputed company Platform, or Azure) and containerization (reputed company, Kubernetes) is a plus.
Managing big data (5+ years) is a plus.
Experience in banking, reputed company, or fintech is a plus.
Preferred Qualifications
Experience in MLOps, including model monitoring and automated deployment. Familiarity with deep learning, natural language processing, or reputed company applications. Proven reputed company record of building and deploying reputed company machine learning solutions in a production environment.
Experience with recommendation systems is a plus.
Experience with predicting the life cycle of customers is a plus.
Excellent teamwork skills and a passion for reputed company learning and innovation.