Ai/Ml Engineer

Overview

• Develop and deploy cutting-edge machine learning and Generative AI systems for impactful business solutions.
• Collaborate with cross-functional teams to translate business requirements into scalable AI/ML solutions.
• Focus on building advanced applications leveraging structured and unstructured data for optimized decision-making.
• Maintain and monitor machine learning models and pipelines ensuring reliability and performance.
• Contribute to the development of AI engineering standards and best practices across the organization.
• Work in a fully remote environment with opportunities for professional growth and collaboration.

Key Responsibilities & Duties

• Design and develop machine learning and LLM-powered systems using modern architectures and frameworks.
• Optimize data pipelines for feeding traditional ML models and LLM-based systems.
• Implement and monitor model and data quality checks ensuring system accuracy and consistency.
• Conduct machine learning tests and experiments, documenting findings and results.
• Collaborate with stakeholders to align AI/ML solutions with business objectives.
• Provide technical guidance and support for AI/ML initiatives across the organization.
• Create and maintain documentation for ML and GenAI systems, including evaluation frameworks and architectural decisions.

Job Requirements

• Bachelor’s degree in Computer Science, Mathematics, or related field; Master’s degree preferred.
• Minimum 3 years of experience in machine learning engineering; 5 years preferred.
• Proficiency in SQL, Databricks, AWS services, Python, and Spark.
• Experience with ML frameworks such as XGBoost, Scikit-learn, TensorFlow, Keras, or PyTorch.
• Hands-on experience deploying LLM-powered applications and utilizing MLOps/LLMOps tooling.
• Strong analytical and problem-solving skills with the ability to derive insights from complex data sets.
• Effective communication skills for conveying technical information to non-technical stakeholders.