AI & Machine Learning Consultant

**Job Description** ------------------- ### **Role Overview** As an **AI \& Machine Learning Consultant**, you will design, develop, and deploy enterprise\-grade AI and Machine Learning solutions that drive business innovation and operational efficiency. You will leverage cloud\-native AI services, Generative AI technologies, and advanced MLOps practices to build scalable, production\-ready AI systems. Working across the AI lifecycle, you will help transform data into intelligent solutions while ensuring performance, scalability, and business value. **Key Responsibilities** ------------------------ * Design and develop Artificial Intelligence (AI) and Machine Learning (ML) solutions using cloud\-native AI and analytics services. * Build and maintain scalable data pipelines that support model training, deployment, monitoring, and production operations. * Implement DevOps and MLOps practices to streamline model development, automation, deployment, and lifecycle management. * Customize, fine\-tune, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions to address business needs. * Design AI solutions that operate efficiently across cloud environments, edge devices, and High\-Performance Computing (HPC) infrastructures. * Evaluate model performance and communicate solution effectiveness through measurable business outcomes and technical metrics. * Conduct research and development activities focused on emerging AI technologies, algorithms, simulation techniques, and advanced computational methods. * Work with large\-scale structured and unstructured datasets, applying appropriate data preparation, preprocessing, and feature engineering techniques. * Develop and maintain efficient data, model, and knowledge storage architectures to support AI applications and retrieval capabilities. * Collaborate with cross\-functional teams including architects, data engineers, software engineers, and business stakeholders to deliver scalable AI solutions. * Ensure AI solutions align with enterprise security, governance, compliance, and Responsible AI requirements. * Continuously improve AI engineering standards, frameworks, and best practices to accelerate enterprise AI adoption. **Basic Qualifications** ------------------------ * **4\-7 years of experience** in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, or related technical disciplines. * Hands\-on experience designing, developing, and deploying AI/ML applications in enterprise environments. * Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit\-learn, or similar technologies. * Experience with Deep Learning, Generative AI, Large Language Models (LLMs), and modern AI development frameworks. * Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud and their AI/ML services. * Experience building data pipelines and implementing MLOps practices for model deployment, monitoring, and optimization. * Strong understanding of data engineering concepts, data preprocessing, feature engineering, and model evaluation methodologies. ### **Preferred Qualifications** * Experience developing and deploying Generative AI applications, foundation models, and LLM\-based solutions. * Knowledge of Retrieval\-Augmented Generation (RAG), vector databases, embeddings, knowledge management, and AI orchestration frameworks. * Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes. * Familiarity with edge AI deployments, distributed computing environments, and High\-Performance Computing (HPC) architectures. * Experience implementing AI observability, model monitoring, and production support frameworks. * Strong analytical, problem\-solving, and stakeholder management skills. * Relevant certifications in Artificial Intelligence, Machine Learning, Data Engineering, Cloud Platforms, or related technologies are preferred.