Senior Technical Consultant - Data and AI

AHEAD; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

AHEAD is seeking a Senior Data & AI Engineer to lead client-facing AI initiatives, develop advanced machine learning and large language models, and drive solution design from scoping through deployment. You will mentor junior engineers and collaborate with cross-functional teams to translate business needs into data-driven results.

You will leverage frameworks like TensorFlow, PyTorch, and scikit-learn, work in Jupyter environments, and engage in pre-sales activities to help educate stakeholders

Qualifications

• Bachelor’s or Master’s degree in computer science, statistics, mathematics, or related field.
• Minimum 5 years in data science with ML/deep learning focus.
• Strong Python coding skills for scalable, maintainable code.
• Experience with TensorFlow, PyTorch or scikit-learn for custom models.
• Hands-on with Jupyter Notebooks, Azure ML Studio, Azure OpenAI, AWS SageMaker and DGX platforms.
• Familiarity with major model providers (LLama, Claude, OpenAI).
• Understanding of transformer architectures, attention mechanisms, and deep learning concepts.
• Knowledge of generative AI concepts including fine-tuning, transfer learning, and RAG methods.
• Experience across ML lifecycle: deployment, monitoring, drift detection/retraining, canary testing.
• Strong communication and collaboration skills for technical and non-technical audiences.

Responsibilities

• Lead client-facing project teams and drive delivery of data/AI solutions.
• Design, develop, and deploy ML models and large language/agentic models.
• Collaborate with data engineers, analysts, and SMEs to translate business needs into data science solutions.
• Contribute to pre-sales activities: scoping, estimation, solution design.
• Educate clients on data science concepts and best practices.
• Mentor junior AI engineers and share technical guidance.

Skills

Python coding

Deep learning

Model evaluation

Communication

Education

Bachelor's or Master’s in CS/Stats/Math

Tools

TensorFlow

PyTorch

scikit-learn

Jupyter Notebooks

Azure ML Studio

Azure OpenAI

AWS SageMaker

NVIDIA DGX platforms

LLama / Claude / OpenAI models

Job description

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 providerssuch asLLama,Anthropic’s Claude, Open AI. Etc.
• Solid understanding oftransformer architectures,attention mechanisms, and other advanced deep learning concepts.
• Knowledge ofgenerative AI concepts, includingfine-tuning,transfer learning, andRAGmethods.
• Experience with themachine 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 providerssuch asLLama,Anthropic’s Claude, Open AI. Etc.
• Solid understanding oftransformer architectures,attention mechanisms, and other advanced deep learning concepts.
• Knowledge ofgenerative AI concepts, includingfine-tuning,transfer learning, andRAGmethods.
• Experience with themachine 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.