AI Engineer

Company Overview ALIANDO, is an award-winning Azure Expert Managed Service solutions company focused on selling and deploying Microsoft technologies for U.S. and international companies. For over 20 years, Microsoft and its partners have recommended ALIANDO, for licensing, consulting, and managed services to corporations large and small. The company offers competitive pay and comprehensive employee benefits, including health insurance, fitness allowances, work-from-home allowances, paid maternity and parental leave, and generous PTO. At ALIANDO, we aim to unleash the potential of people and technology. Our company was built around the idea that there is no success without team success. We foster a culture of inclusion and fairness where diverse interests, experiences, and backgrounds are celebrated. We strive to empower and unleash the potential of everyone to ensure that every employee has a path to success. We're in it together to make life better for each other, our customers, our partners, and our communities. About the Role We are seeking an experienced AI Engineer to design, develop, deploy, and optimize Artificial Intelligence and Machine Learning solutions that solve complex business problems. The ideal candidate will have strong expertise in Python, machine learning frameworks, data analysis, and model deployment, with hands-on experience building scalable AI applications in production environments. You will collaborate with Data Scientists, Software Engineers, Product Managers, and business stakeholders to transform data into intelligent, business-driven solutions. Key Responsibilities

• Design, develop, train, and deploy AI/ML models for enterprise applications.
• Analyze structured and unstructured datasets to identify patterns and business insights.
• Build predictive, classification, recommendation, and forecasting models.
• Develop end-to-end machine learning pipelines from data preparation to deployment.
• Optimize model accuracy, scalability, and performance.
• Integrate AI models into web applications, APIs, and enterprise systems.
• Perform feature engineering, model evaluation, and hyperparameter tuning.
• Work with deep learning frameworks and modern AI technologies.
• Monitor deployed models and continuously improve model performance.
• Collaborate with Data Engineers to prepare high-quality training datasets.
• Develop REST APIs to expose AI services.
• Maintain technical documentation, model versioning, and deployment processes.
• Stay updated with emerging AI technologies and industry best practices.
• Participate in Agile development processes. Required Skills
• Strong Python programming skills.
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of supervised and unsupervised learning algorithms.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Knowledge of deep learning, neural networks, NLP, or Computer Vision.
• Experience deploying AI/ML models in production.
• Experience integrating AI solutions through REST APIs.
• Familiarity with cloud AI services (Azure AI, AWS SageMaker, Google Vertex AI).
• Experience with SQL and data analysis.
• Strong analytical and problem-solving skills. Preferred Skills
• Generative AI
• Large Language Models (LLMs)
• LangChain
• Azure OpenAI Service
• Prompt Engineering
• RAG (Retrieval-Augmented Generation)
• Vector Databases
• Docker
• Kubernetes
• MLflow
• MLOps
• Git
• CI/CD Qualifications
• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• Minimum 4+ years of professional AI/ML development experience. Preferred Certifications
• TensorFlow Developer Certificate
• Microsoft Certified: Azure AI Engineer Associate Equivalent AI, Machine Learning, or Cloud AI certifications are also considered valuable. What We're Looking For
• Strong mathematical and analytical thinking.
• Passion for Artificial Intelligence and innovation.
• Ability to build scalable production-ready AI solutions.
• Excellent communication and stakeholder management skills.
• Strong ownership and attention to detail.
• Ability to work collaboratively in Agile teams.