Your future duties and responsibilities:

•Lead the design and implementation of AI/ML solutions for clients
•Translate business problems into technical requirements and model-driven solutions
•Perform data preparation tasks, including cleansing, preprocessing, and handling missing or inconsistent data
•Work with AI frameworks like TensorFlow, PyTorch, and Scikit-learn
•Leverage cloud-based AI platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI
•Provide functional support and guidance during implementation and post-deployment phases
•Analyze and redesign business processes as required by AI implementations
•Mentor junior team members and support business stakeholders in AI adoption
•Engage directly with clients and senior stakeholders to drive solution outcomes
•Collaborate across global virtual teams and contribute to best practices in AI solution delivery

Required qualifications to be successful in this role:

•Master’s degree in computer science, Data Science, AI/ML, or a related technical discipline
•Certifications in AI/ML or cloud platforms (e.g., AWS Certified Machine Learning, Azure AI Engineer Associate, TensorFlow Developer Certificate)
•Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines for ML models)
•Exposure to Natural Language Processing (NLP), Computer Vision, or Deep Learning projects
•Understanding of data privacy, model interpretability, and responsible AI principles
•Experience working in cross-functional teams and global delivery models
•Prior experience in client-facing roles within consulting or IT services companies
•Strong business acumen and ability to communicate AI/ML concepts to non-technical stakeholders

Must-Have Skills:
•3+ years of hands-on experience in AI/ML development or consulting
•Proficiency in data preparation, including cleansing, feature engineering, and data validation
•Strong knowledge of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn)
•Experience with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI)
•Excellent problem-solving and communication skills
•Ability to work in dynamic and globally distributed teams

Good-to-Have Skills:
•Prior consulting experience with public or private sector clients
•Familiarity with DevOps and MLOps practices for model deployment and monitoring
•Exposure to business process mapping and improvement initiatives
•Experience leading or supporting client-facing workshops or strategy sessions