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Data Science Architect
| Company | Brillio |
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| Location | Tampa, FL, USA |
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| Salary | $60 – $65 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Expert or higher |
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Requirements
- Bachelor’s degree in Computer Science, Statistics, Engineering or a related field (exceptional candidates without advanced degrees will be considered)
- 10+ years of experience developing and deploying AI/ML models in production environments
- 3+ years of experience as a technical lead, mentoring and supporting junior data scientists
- A proven track record of delivering high-impact AI/ML projects across organizations
- Mastery of machine learning algorithms, deep learning frameworks, time-series modeling, and statistical techniques
- Working experience in Python and SQL, Hands on coding with proficiency in FAST API, pandas, TensorFlow, PyTorch, NumPy, and more
- Working Experience in LangChain, LangGraph
- Working experience with LLMs, Gen-AI tools, Prompt Engineering
- Working experience in implementing Design Patterns
- Working Experience in developing Restful APIs, tracking optimal performance and best design practices
- Should be able to ideate value propositions
- Knowledge of UNIX commands and debugging
- Ability to translate customer needs into clear problem definitions while managing ambiguity
- Proficiency with big data technologies (e.g., Google BigQuery) and cloud platforms (e.g., AWS, GCP)
- Creative problem-solving skills with a focus on collaborative solutions
- Strong communication and collaboration skills to work effectively and leading cross-functional teams
- Resilience and perseverance in the face of technical challenges, with the ability to iterate through solutions to achieve success.
Responsibilities
- Build and nurture integrated Agentic AI ecosystem across Telecom network products
- Shape and share the technical data science vision for optimal solutions
- Collaborate closely with business and product teams to identify impactful use cases for AI/ML applications
- Prototype and iterate on solutions, embracing a curious and experimental approach to problem-solving
- Analyze large datasets, drawing out valuable insights to improve model performance and create better customer experience
- Partner with ML engineers to deploy scalable AI/ML solutions that are reliable and efficient
- Developing compelling narratives that showcase the value proposition of our solutions
- Leverage LLMs (Large Language Models) to assist in various aspects of the business development process, including: Generating creative content for proposals, presentations; Conducting research and gathering insights on opportunities and potential partners; Analyzing large datasets to identify trends and inform strategic decision-making; Automating routine tasks to improve efficiency and productivity
- Continuously monitor and optimize models to ensure accuracy, reliability, and long-term performance
- Stay curious and keep learning about new AI/ML advancements, experimenting and applying them to foster innovation
- Be hands-on coding and demonstrate ownership and leadership, focusing on collaboration and shared success
- Communicate thoughtfully about challenges, risks, and opportunities, ensuring timely project completion.
Preferred Qualifications
No preferred qualifications provided.
