Senior Technical Consultant - Data and AI

We are looking for an experienced Senior Data & AI Engineer to join our team and support the delivery of client-focused AI and machine learning initiatives. In this role, you will contribute to designing, developing, and deploying advanced AI/ML solutions that help customers achieve business outcomes through data-driven decision-making. The position also involves participating in pre-sales engagements, solution planning, and stakeholder enablement around modern AI and data science practices.

Roles and Responsibilities Partner with customers to identify, assess, and prioritize AI-ready business use cases. Design, build, and deploy advanced machine learning, large language model (LLM), and agentic AI solutions to address complex business challenges. Collaborate with cross-functional teams including data engineers, analysts, architects, and domain experts to translate business needs into scalable AI solutions.

Support and lead client-facing delivery engagements alongside Data & AI teams. Develop and train custom machine learning and deep learning models using frameworks such as Scikit-Learn, TensorFlow, and PyTorch. Utilize Jupyter-based environments for experimentation, exploratory analysis, model development, and deployment workflows.

Present technical concepts, project updates, and findings to both technical and non-technical stakeholders in a clear and effective manner. Provide mentorship and technical guidance to junior AI Engineers and team members. Participate in pre-sales activities including project scoping, effort estimation, architecture discussions, and solution design.

Educate clients and stakeholders on machine learning, generative AI, and data science best practices and methodologies. Contribute to the evolution of Data & AI capabilities, reusable assets, and thought leadership initiatives. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline. 5+ years of experience in data science, machine learning, or AI-focused roles with strong exposure to deep learning technologies.

Strong Python programming skills with the ability to write scalable, efficient, and maintainable code. Experience developing and training custom machine learning and deep learning models using TensorFlow, PyTorch, or Scikit-Learn. Hands-on experience with tools and platforms such as Jupyter Notebooks, Azure Machine Learning Studio, Azure OpenAI, AWS SageMaker, Nvidia AI Enterprise, and DGX platforms.

Experience working with major open-source and commercial AI model providers including Llama, Anthropic Claude, OpenAI, and similar platforms. Strong understanding of transformer models, attention mechanisms, and advanced deep learning concepts. Knowledge of generative AI methodologies including fine-tuning, transfer learning, Retrieval-Augmented Generation (RAG), and prompt engineering techniques.

Experience across the ML lifecycle including deployment, monitoring, retraining, drift detection, and canary testing strategies. Strong communication, presentation, and collaboration skills with the ability to explain complex concepts to varied audiences. Experience supporting pre-sales initiatives including project estimation, scoping, and solution architecture discussions.

Nice to Have Exposure to enterprise AI transformation projects or consulting-based delivery environments. Experience leading client workshops, AI strategy sessions, or technical discovery engagements. Familiarity with MLOps practices, model governance, and production AI deployment frameworks.

Knowledge of cloud-native AI architectures and scalable distributed training environments.