AI/ML Solutions Engineer

About the Role

Join our Emerging Technologies team as an AI/ML Solutions Engineer and help enterprises harness the power of artificial intelligence and machine learning. You'll design, develop, and deploy innovative AI/ML solutions that solve real business problems and drive measurable value for our clients.

In this role, you'll work on cutting-edge projects involving natural language processing, computer vision, predictive analytics, and generative AI, while collaborating with cross-functional teams to deliver production-ready solutions.

Key Responsibilities

• Design and develop AI/ML solutions for enterprise clients across various industries
• Build and train machine learning models using structured and unstructured data
• Deploy and scale ML models in production environments (cloud and on-premise)
• Implement MLOps practices for model versioning, monitoring, and continuous improvement
• Work with large language models (LLMs) and generative AI technologies
• Collaborate with data engineers to build scalable data pipelines
• Conduct model evaluation, validation, and performance optimization
• Present technical solutions and insights to both technical and business stakeholders

Required Qualifications

• 3+ years of experience in machine learning or AI engineering
• Strong programming skills in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Experience with supervised and unsupervised learning algorithms
• Hands-on experience deploying ML models to production
• Knowledge of cloud ML platforms (AWS SageMaker, Azure ML, Google Vertex AI)
• Understanding of data preprocessing, feature engineering, and model evaluation
• Strong analytical and problem-solving abilities
• Bachelor's degree in Computer Science, Data Science, or related field

Preferred Qualifications

• Experience with NLP and working with LLMs (GPT, Claude, Llama)
• Knowledge of computer vision and deep learning
• Experience with MLOps tools (MLflow, Kubeflow, Weights & Biases)
• Familiarity with vector databases and RAG architectures
• Experience with containerization (Docker, Kubernetes)
• Published research or contributions to open-source ML projects
• Master's degree or PhD in relevant field

About the Team

Our Emerging Technologies team is at the forefront of AI/ML innovation, working on transformative projects that leverage the latest advances in artificial intelligence. We're a collaborative group of engineers, researchers, and data scientists who are passionate about pushing the boundaries of what's possible with AI.

You'll work in an environment that encourages experimentation, continuous learning, and knowledge sharing. We're committed to staying ahead of the curve and helping our clients leverage AI to gain competitive advantage.