We are seeking an experienced and skilled Senior Data & AI Engineer to join our team and assist in leading client-facing project delivery. In this role, you will be responsible for developing and deploying advanced machine learning models and AI solutions that drive business value and enable data-driven decision making for our customers. Additionally, you will play a crucial role in pre-sales activities, project scoping, and educating stakeholders on data science and machine learning concepts.
Roles and Responsibilities:
Assist our customers in identifying, evaluating, and prioritizing AI-ready use cases.
Design, develop, and implement complex machine learning, large language and agentic models and algorithms to solve real-world business problems.
Collaborate with cross-functional teams, including data engineers, analysts, and subject matter experts, to understand business requirements and translate them into data science solutions.
Lead client-facing project teams of AHEAD Data and AI experts.
Develop and train custom ML models using frameworks such as Scikit-Learn, TensorFlow or PyTorch.
Leverage Jupyter-based environments for exploratory data analysis, model development, and deployment.
Communicate complex technical concepts and findings to stakeholders and leadership in a clear and concise manner.
Mentor and provide guidance to junior AI Engineers.
Participate in pre-sales activities, including project scoping, estimation, and solution design.
Educate clients and stakeholders on data science and machine learning concepts, methodologies, and best practices.
Contribute to the development and enhancement of AHEAD's Data &AI service offerings and thought leadership.
Qualifications:
Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or a related quantitative field.
Minimum of 5 years of experience in a data science-related role, with a focus on machine learning and deep learning.
Strong Python coding skills with an emphasis on writing efficient, scalable, and maintainable code.
Experience with developing and training custom deep learning models using TensorFlow, PyTorch, or scikit-learn.
Hands-on experience with Jupyter Notebooks, Azure Machine Learning Studio, Azure OpenAI, AWS SageMaker, nVidia AI Enterprise & DGX platforms
Hands-on experience with leading open source and major model providers such as LLama, Anthropic's Claude, Open AI. Etc.
Solid understanding of transformer architectures, attention mechanisms, and other advanced deep learning concepts.
Knowledge of generative AI concepts, including fine-tuning, transfer learning, and RAG methods.
Experience with the machine learning lifecycle, including model deployment, monitoring, drift detection/retraining, and canary testing.
Strong communication and collaboration skills, with the ability to present complex technical information to both technical and non-technical audiences.
Experience in pre-sales activities, including project scoping, estimation, and solution design.
Nice to Have:
Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or a related quantitative field.
Minimum of 5 years of experience in a data science-related role, with a focus on machine learning and deep learning.
Strong Python coding skills with an emphasis on writing efficient, scalable, and maintainable code.
Experience with developing and training custom deep learning models using TensorFlow, PyTorch, or scikit-learn.
Hands-on experience with Jupyter Notebooks, Azure Machine Learning Studio, Azure OpenAI, AWS SageMaker, Nvidia AI Enterprise & DGX platforms
Hands-on experience with leading open source and major model providers such as LLama, Anthropic's Claude, Open AI. Etc.
Solid understanding of transformer architectures, attention mechanisms, and other advanced deep learning concepts.
Knowledge of generative AI concepts, including fine-tuning, transfer learning, and RAG methods.
Experience with the machine learning lifecycle, including model deployment, monitoring, drift detection/retraining, and canary testing.
Strong communication and collaboration skills, with the ability to present complex technical information to both technical and non-technical audiences.
Experience in pre-sales activities, including project scoping, estimation, and solution design.
