AI Solutions Engineer, Data Science and Analytics Leader

24 hours ago

Houston, Texas, United States AHEAD Full time

About Us

AHEAD builds platforms for digital business. By leveraging advances in cloud infrastructure, automation, analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.

We prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. As an equal opportunity employer, we do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law.

We are seeking an experienced and skilled Senior AI Solutions 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.

Responsibilities:

  • Assist our customers in identifying, evaluating, and prioritizing AI-ready use cases.
  • Design, develop, and implement complex machine learning 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 science and AI experts.
  • Develop and train custom 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 data scientists.
  • 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.

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 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.
  • Hands-on experience with Large Language Models (LLMs) such as LLaMA, Anthropic's Claude, Bedrock, and familiarity with OpenAI's GPT models.
  • 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.

Benefits:

  • $150,000 - $180,000 a year.
  • Medical, dental, and vision insurance.
  • 401(k).
  • Paid company holidays.
  • Paid time off.
  • Paid parental and caregiver leave.

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