
Data Science Innovator
2 weeks ago
Software Development Specialist
Overview
- The Software Development team is dedicated to creating innovative technology-based solutions in a fast-paced environment. The mission focuses on accelerating the adoption of cutting-edge technology in various industries.
- We are seeking an experienced Data Scientist to join our team and help build out our Gen AI and analytics initiatives with data from business-oriented web applications.
We need someone who can quickly learn, pick up new things and conduct POCs as we evolve in our Gen AI journey. In this role, you will contribute to the creation of globally scalable products used by the world's most respected brands.
Key Responsibilities:
- Develop state-of-the-art GenAI-based solutions using the latest LLMs and AI agent frameworks.
- Optimize offerings to efficiently utilize data using LLMs and RAG pipelines.
- Collaborate with cross-functional teams to gather requirements and define the scope of the tool.
- Design and develop robust algorithms to analyze large volumes of data.
- Implement GenAI-based solutions using Agentic AI techniques to extract valuable insights from data.
- Ensure the tool's scalability and performance through regular testing, debugging, and optimization.
- Keep up-to-date with the latest advancements in GenAI technologies and incorporate them into the tool where applicable.
- Provide technical guidance and support to stakeholders in integrating and utilizing the tool effectively.
Qualifications and Skills:
- Undergraduate or higher degree in Computer Science, Data Science, Business Analytics, AI ML, or relevant field.
- 3+ years of experience with strong proficiency in Python, familiarity with relevant libraries and frameworks.
- Proven experience in developing AI-based solutions using Gen AI and AI Agents.
- Strong knowledge of SQL (PostgreSQL).
- In-depth knowledge of Natural Language Processing (NLP) techniques, including language models and text generation algorithms.
- Experience in working with large-scale datasets and implementing data processing and analysis pipelines.
- Familiarity with cloud computing platforms (AWS, Azure) and distributed computing architectures.
- Excellent problem-solving skills and ability to translate business requirements into technical solutions.
- Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
Nice to Have:
- Proficiency in frontend technologies such as JavaScript, HTML, CSS, and related frameworks.
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