Senior AI/ML Engineer

Role: Senior AI/ML Engineer

Duration: 12 months

Location: Denver, CO

Job Description

We are seeking a highly motivated AI Engineer with a strong background in software engineering and hands-on experience in applied AI/ML to support AI Transformation initiatives. The ideal candidate will have 1-3 years of experience building, integrating, or deploying AI-driven solutions and be proficient in at least one modern programming language (GO, Python, Java, C#) and exposure to DevOps practices & Cloud environment.

You will work closely with cross functional teams to design, develop, and operationalize AI solutions that enhance automation, improve decision-making, and drive business value.

Required Skills & Qualifications

• 1-3 years of experience in AI/ML engineering or related roles

• Strong programming skills in one or more programming languages: GO/Java/Python/C#

• Good understanding of machine learning concepts and lifecycle

• Hands-on experience with ML frameworks/libraries

• Exposure to DevOps practices (CI/CD, automation, environment management)

• Experience with tools like Git, Jenkins, GitHub Actions, or similar

• Familiarity with containerization (Docker) and basics of orchestration (Kubernetes)

• Understanding of REST APIs and microservices architecture

• Exposure to cloud platforms (AWS, Azure)

• Good understanding of SDLC process

• Experience working in Agile environments

• Strong analytical and problem-solving abilities

• Good communication and stakeholder collaboration skills

• Ability to work in fast-paced, evolving environments

• Continuous learning mindset

Preferred Qualifications

• Experience with MLOps tools/platforms

• Exposure to Generative AI / LLMs (prompt engineering, embeddings, fine-tuning)

• Familiarity with infrastructure as code (Terraform, CloudFormation)

• Experience with monitoring/logging tools (Prometheus, Grafana, ELK stack)

• Knowledge of data pipelines and streaming tools (Kafka, Airflow)

Key Responsibilities

• Design, develop, and deploy AI/ML models and intelligent applications

• Contribute to AI transformation initiatives, including automation and generative AI use cases

• Build and maintain end-to-end ML pipelines (data ingestion, training, validation, deployment)

• Evaluate and improve model performance through experimentation and tuning

• Integrate AI models into enterprise applications, APIs, and workflows

• Deploy models into production using CI/CD pipelines

• Collaborate with DevOps and platform teams to ensure scalability, monitoring, and reliability

• Collaborate with engineers, QA’s to identify areas of automation in documentation, software code development, test case generation and validation

• Develop and expose AI services via APIs and microservices

• Monitor model performance and implement retraining/optimization strategies

• Ensure proper versioning of models, datasets, and code

• Participate in system design, code reviews, and release processes

• Contribute to AI adoption strategies, proof-of-concepts (POCs), and pilots

• Work with minimal support or handholding