AL/ML Engineer

About the Role

The AI/ML Engineer will design, develop, and deploy machine learning models and AI-driven solutions to solve complex business problems. The role involves working with large datasets, building predictive models, optimizing algorithms, and collaborating with cross-functional teams to implement scalable AI solutions.

Key Responsibilities

• Machine Learning & AI Development
• Build, train, and deploy ML models using supervised, unsupervised, and deep learning techniques.
• Develop scalable AI pipelines, including preprocessing, feature engineering, and model evaluation.
• Optimize algorithms for performance, scalability, and accuracy.
• Conduct exploratory data analysis (EDA) and identify key patterns.
• Engineering & Deployment
• Implement ML models in production using APIs, microservices, or cloud platforms.
• Work with MLOps tools for versioning, monitoring, and automating model workflows.
• Integrate AI/ML solutions with applications and business processes.
• Collaboration & Research
• Collaborate with data engineers, product managers, and business stakeholders to understand requirements.
• Research emerging AI technologies and propose innovative solutions.
• Document models, experiments, and processes.

Requirements & Tech Stack

• Experience with supervised, unsupervised, and deep learning techniques.
• Experience developing scalable AI pipelines.
• Experience optimizing algorithms for performance, scalability, and accuracy.
• Experience with MLOps tools.
• Experience implementing ML models in production using APIs, microservices, or cloud platforms.
• Familiarity with data engineers, product managers, and business stakeholders.
• Researching emerging AI technologies.