Data Scientist

Overview :

Do you want to build an impactful career to change the world for the better?

Do you want to build an impactful career to change the world for the better? Geosyntec has an exciting opportunity for a Data Scientist to support our Atlanta Regional office with the option to work remotely.

This position will leverage your academic knowledge and solid understanding of Artificial Intelligence and Machine Learning (AI / ML) to accelerate our internal company initiatives.

You will collaborate with our research and development teams, provide best-in-class solutions, and ensure our in-house tools remain cutting-edge.

Geosyntec is an innovative, international engineering and consulting firm serving private and public-sector clients to address new ventures and complex problems involving our environment, natural resources, and civil infrastructure.

Our engineers, scientists, technical and project employees serve our clients from offices across the world. Ranked by ENR as one of the top environmental engineering design firms, Geosyntec is internationally known for its technical leadership, broad experience, and exceptional client service.

We invest in our people. Each employee is unique, and your career at Geosyntec will be too. We offer competitive pay and benefits, and well-being programs to support you and your family.

To Learn More Visit : .

Essential Duties and Responsibilities :

Collaboration with R&D Teams : Work closely with research and development teams to provide data science and AI / ML expertise, ensuring the seamless integration of innovative technologies into existing and new projects.

Develop and Implement AI / ML Solutions : Design, develop, test, deploy, support and enhance new or off-the-shelf secure AI and ML models, including Retrieval-Augmented Generation (RAG), tailored to domain-specific deliverables and company initiatives.

Build the Generative AI platforms, systems and infrastructure and apply general knowledge of software development and infrastructure as code practices.

Project Management : Manage AI / ML projects from conception through implementation, maintaining timelines, budgets, and quality standards.

Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.

System Integration : Collaborate with the Azure architect and other IT professionals to integrate AI / ML solutions within the existing technology stack, ensuring systems are interoperable and support effective collaboration and communication.

Risk Assessment and Mitigation : Conduct thorough risk assessments for AI / ML projects and implement proactive measures to mitigate potential risks, ensuring the reliability and security of solutions.

Tool Development and Optimization : Develop and optimize internal tools and processes using AI / ML technologies, enhancing efficiency and effectiveness across the organization.

Industry Awareness : Maintain a strong awareness of the latest trends in AI / ML and their applications to engineering consulting and related industries, ensuring that the company remains at the forefront of technological advancements.

Knowledge Sharing : Provide training and support to internal teams on AI / ML technologies and best practices, fostering a culture of continuous learning and innovation.

Documentation : Maintain comprehensive documentation for all AI / ML projects, including design specifications, implementation plans, and user guides.

Education and Licensure :

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. (required)

Master’s degree (preferred)

Skills, Experience and Qualifications :

A minimum of five (5) years of experience or a master’s degree and three (3) years of experience in developing and deploying AI / ML models, with a strong understanding of RAG models and its implementation using LLMs;

or equivalent combination of education and experience. (required)

Proficiency with vector stores, semantic search, and related technologies. Knowledge of fine-tuning techniques for LLMs to adapt them to specific tasks and domains is required.

Familiarity with other AI and ML technologies such as reinforcement learning, computer vision, or recommendation systems is preferred.

Technical Skills : Proficiency with Azure cloud services, Python, TensorFlow, PyTorch, and other AI / ML frameworks and tools.

Experience with creating production level data ingestion pipelines is required, preferably in a work environment.

Soft Skills : Strong problem-solving skills, excellent communication abilities, and a collaborative mindset is required

Industry Experience : Experience in the Architecture, Engineering, and Construction (AEC) industry, or experience with geospatial data management, is preferred but not required.

Project Management : Demonstrated ability to manage AI / ML projects from conception to implementation, maintaining timelines, budgets, and quality standards is required.

Risk Management : Experience in conducting risk assessments and implementing proactive measures to ensure the reliability and security of AI / ML solutions. (required)

Continuous Improvement : Proven track record of continuously monitoring and improving AI / ML solutions to keep tools relevant and effective. (required)

Field work and overnight travel will be required.

Health & Safety training, medical monitoring, and client-driven drug and background testing. (required)

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