Machine Learning Engineer

• Design, build, and deploy machine learning and deep learning models using Python
• Develop end-to-end AI applications leveraging large language models (LLMs)
• Implement advanced prompting techniques, including Chain-of-Thought reasoning
• Architect and deploy large-scale models (e.g., LLaMA and similar open-source LLMs) into production environments
• Leverage Azure cloud services for model training, deployment, and monitoring
• Build backend services and APIs using Python frameworks such as Flask
• Ensure scalability, performance, and reliability of AI/ML solutions
• Collaborate with cross-functional teams to integrate AI capabilities into enterprise workflows
• Optimize models and pipelines for real-world production use cases

• Strong hands-on experience in machine learning and deep learning using Python
• Experience working with Azure cloud platform and AI/ML services
• Exposure to Generative AI and large language model applications
• Experience in building and deploying LLM-based solutions
• Understanding of advanced prompting techniques such as Chain-of-Thought
• Experience with deploying large models (e.g., LLaMA variants) in production environments
• Proficiency in Python frameworks such as Flask for application development
• Strong problem-solving skills and ability to work in a collaborative environment

What We Look For

• Engineers who can move from experimentation to production-grade systems
• Strong ownership mindset with the ability to work in client-facing environments
• Ability to connect technical solutions with business use cases
• Curiosity to explore evolving AI technologies and apply them pragmatically

• Opportunity to work on cutting-edge AI and cloud-based transformation programs
• Exposure to enterprise-scale implementations across industries
• Collaborative, high-impact environment with global teams
• Ability to shape real-world AI solutions, not just prototypes

Pay: $55.00 - $60.00 per hour

Keansa is a global consulting firm focused on enabling enterprise transformation across finance, operations, and supply chain through data, AI, and connected planning. As organizations increasingly adopt AI to drive decision-making, Keansa is building next-generation capabilities in machine learning and generative AI to deliver scalable, real-world business impact.