Responsibilities
- The client’s GenAI Engineer role is responsible for developing scalable AI solutions aligned to a business strategy and benefits case.
- The role will be to work as part of a team to impact real world problems by delivering technical AI work.
- To be successful in this role you will need to be passionate about Data & AI, a continuous learner, and a strong team player.
Come join us:
- As an AI Engineer, you will be based in the client’s AI Studio and will help clients understand and extract insight and value from their data using Machine Learning and AI techniques.
- Working as part of a team, you will be involved in all phases of analytics projects including question formulation, design, research and development, implementation, and testing.
- This role will explore and understand data and build advanced solutions that could be predictive, prescriptive, or optimize.
What you'll do:
- Produce innovative solutions for the client's clients driven by exploratory data analysis from complex and high-dimensional datasets, both structured and unstructured, applying advanced statistical, machine-learning and AI techniques.
- Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
- Communicate insights and deliver plans that steer business strategy and decision-making for one or more business segments.
Skills And Experiences
- Demonstrable professional experience with applying GenAI, Machine Learning, analysis, and modeling of large scale and complex data sets in Industry scenarios.
- Highly skilled in statistical analysis, quantitative analytics, forecasting/predictive analytics, simulation and optimization algorithms.
- Proficient in one or more statistical modeling tools and Cognitive analytics like text analytics, image recognition, video analytics etc. - proficient in model identification by use case/industry and knowledge of applying models to enterprise use cases.
- Highly proficient with two or more languages, such as Python, PySpark, R, SQL, etc. and tools like Databricks, Azure ML and Azure Cognitive Services
- Software engineering experience using DevOps principals (Knowledge of DevOps workflows, Git, containers, CICD, etc.)
- Good communication and presentation skills. Able to explain complex analytical methodologies and concepts in non-technical language to audiences at multiple skill levels.
- Bonus Skills: Preference for prior experience working with Azure or cloud-based technologies such as AWS or GCP but not required.
About You
- You likely possess a degree in Applied Mathematics, Statistics, Analytics, Economics/Econometrics, Engineering or another relevant field in the industry. An equivalent combination of education and experience will also suffice.
- You likely have about 1-2 years of demonstrable experience across the advanced analytics space, preferably in a consulting environment or a combination of experience and relevant education.
ATD Technology, LLC is a certified minority woman owned business that creates opportunities to match qualified job seekers with our client programs while meeting all parties’ financial needs and technical goals. ATD is a full service provider with offerings in Contract, Permanent and Temp-to-Perm staffing solutions. We serve Fortune 1000, mid cap and small cap companies in the Commercial, Private, Public and Government sectors across North America.
ATD Technology, LLC is a certified minority woman owned business that creates opportunities to match qualified individuals with client programs while meeting all parties' financial and technical goals. ATD is a full service provider with offerings in Contract, Permanent and Temp-to-Perm staffing solutions. We serve Fortune 1000, mid cap and small cap companies in the Commercial, Public and Government sectors.