Skills
Communication
Python
Statistical Analysis
Azure Data Factory
Test
Problem-solving
Research
A/B Testing
Attention to detail
Machine Learning
PyTorch
Scikit-Learn
TensorFlow
Deep Learning
Regression
Azure
AWS
Agile
Pandas
Organizational Skills
Analytics
Data Science
Spark
Langchain
Natural Language Processing
Mathematics
Job Specifications
Position: Data Scientist / AI Engineer
Location: Atlanta, GA (Hybrid 3x in office)
Employment Type: Contract-to-hire
Contract Duration: 6 months-1 year
The Data Scientist is responsible for the design and development of advanced generative, recommender, and predictive models that will generate value creation. This role involves ensuring the performance and accuracy of solutions, staying abreast of the latest AI research and methodologies (particularly in the domains of natural language processing, predictive analytics, and information retrieval), as well as promoting and implementing data science best practices.
Responsibilities
Thought partner to the Head of AI and Product Manager at identify opportunities to unlock value in the industry by leveraging distinctive AI expertise (machine learning and generative AI) to drive business solutions.
Lead the design, development, validation, and deployment of innovative, performant, and scalable AI engines, applying rigorous testing to ensure alignment with business objectives.
Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance.
Apply A/B testing framework to test models' quality and integrate data insights into the business processes.
Coordinate with different functional teams to implement models, design processes and tools to monitor and analyze model performance and data quality.
Drive the AI methodology R&D agenda to ensure CLIENT continues to offer added value by best-in-class AI approaches in a fast-moving landscape.
DomainExpertise
Key Skills:
MS/PhD(Computer Science or Electronics), or MS in Computer Applications, Economics, Statistics or Mathematics or related technical discipline
3+ years of deep applied expertise at developing and deploying complex AI/ML solutions, preferably in a financial services context
Heavy MS Azure Data Factory experience is a must.
Strong and deep knowledge of a broad set of AI methodologies: Generative AI & Agentic AI, deep learning, natural language processing, supervised learning (classification, regression), reinforcement learning
Proficiency in Python is required together with multiple popular advanced analytics frameworks e.g. pandas, spark, scikit-learn, langchain, langchain, llamaindex, tensorflow, pytorch
Experience with popular cloud-based ML platforms (AWS SageMaker, Azure Machine Learning) is a plus
Strong applied understanding of MLOps / LLMOps best practice
Experience to merge and transform disparate internal & external data sets together to create inputs for AI
Agile +Digital Experience:
Openness to working in Agile environments with multiple stakeholders
Strong communication and collaboration skills to understand business partner needs and deliver solutions
Individual Skills
Professional attitude and service orientation; team player
Quick learner to business needs and translates them into potential analytics solutions
Strong analytical and problem-solving skills; healthy skepticism around the validity of data and its biases
Good verbal and written communication skills
Mindset & Behaviors
Exemplary organizational skills with attention to detail & accuracy
Ability to coach, mentor, and collaborate with business partners, analysts, and team members
Attitude to thrive in a fast-paced environment, Open-minded to new approaches to learning
About the Company
SoHo Dragon is a full-service Software Application Development company that focuses on portals, document management, collaboration, business intelligence, CRM tools, cloud technology, and data. Much of the work done for our clients are based in the Microsoft Application stack of business tools. In addition to providing our clients with project-based services, SoHo Dragon Solutions also provides staff augmentation and direct placement services. Join the movement and learn how you can save up to 20% on Microsoft Licensing. htt...
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