AI & Machine Learning Consultant

### **Role Overview** As an **AI \& Machine Learning Consultant**, you will design, build, and deploy innovative Artificial Intelligence (AI) and Machine Learning (ML) solutions that help organizations solve complex business challenges. You will leverage cloud\-native AI services, Generative AI technologies, and modern engineering practices to develop scalable, production\-ready solutions. Working across the full AI lifecycle, you will transform data into intelligent applications while driving innovation through advanced analytics, model development, and AI research initiatives. **Key Responsibilities** ------------------------ * Design and develop Artificial Intelligence (AI) and Machine Learning (ML) solutions using cloud\-based AI platforms and services. * Build and maintain scalable data pipelines that support data ingestion, model training, deployment, and production operations. * Implement DevOps and MLOps practices to automate and streamline model development, deployment, monitoring, and maintenance. * Develop, customize, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions tailored to business requirements. * Evaluate business needs, data availability, and infrastructure constraints to design effective AI solutions that deliver measurable value. * Support the development of AI applications across cloud, edge computing, and High\-Performance Computing (HPC) environments. * Conduct research and experimentation on emerging AI techniques, algorithms, models, and advanced analytical approaches. * Work with large\-scale structured and unstructured datasets, applying data cleansing, preprocessing, and feature engineering techniques to improve solution quality. * Design and maintain efficient data, model, and knowledge storage solutions to support AI applications and retrieval capabilities. * Collaborate with data engineers, architects, and business stakeholders to develop scalable and production\-ready AI solutions. * Monitor model performance and support continuous improvements to ensure reliability, scalability, and business impact. * Ensure compliance with enterprise security, governance, and Responsible AI standards throughout the AI development lifecycle. **Basic Qualifications** ------------------------ * **4\-7 years of experience** in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, Analytics, or related technical fields. * Hands\-on experience developing and deploying AI/ML solutions in enterprise or consulting environments. * Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit\-learn, or similar technologies. * Experience working with Deep Learning, Generative AI, Large Language Models (LLMs), and advanced analytics solutions. * Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform and their AI/ML services. * Experience building data pipelines and supporting MLOps practices for model deployment and lifecycle management. * Strong understanding of data preprocessing, feature engineering, model evaluation, and optimization techniques. ### **Preferred Qualifications** * Experience developing and deploying Generative AI, LLM, or intelligent automation solutions. * Knowledge of Retrieval\-Augmented Generation (RAG), vector databases, embeddings, and AI orchestration frameworks. * Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes. * Familiarity with edge AI deployments, distributed computing architectures, and High\-Performance Computing (HPC) environments. * Experience implementing model monitoring, observability, and AI operational support capabilities. * Strong analytical, problem\-solving, and stakeholder management skills. * Relevant certifications in Artificial Intelligence, Machine Learning, Data Science, Cloud Platforms, or related technologies are preferred.