Technical Architect- Python & AI/ML
Roles and Responsibilities
About Us:
Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward.With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals.
Key Responsibilities
Design and architect complex Generative AI solutions using AWS technologies.
Develop advanced AI architectures incorporating state-of-the-art GenAI technologies.
Create and implement Retrieval Augmented Generation (RAG) and GraphRAG solutions.
Architect scalable AI systems using AWS Bedrock and SageMaker.
Design and implement agentic AI systems with advanced reasoning capabilities.
Develop custom AI solutions leveraging vector databases and advanced machine learning techniques.
Evaluate and integrate emerging GenAI technologies and methodologies.
Qualifications Required
Bachelor’s or master’s degree in computer science, Engineering, or related field
Skills and Experience Required
Technical Expertise Requirements
Generative AI Technologies
Expert-level understanding of:
1. Retrieval Augmented Generation (RAG)
2. GraphRAG methodologies
3. LoRA (Low-Rank Adaptation) techniques
4. Vector Database architectures
5. Agentic AI design principles
AWS AI Services
Comprehensive expertise in:
1. AWS Bedrock
2. Amazon SageMaker
3. AWS AI/ML services ecosystem
4. Cloud-native AI solution design
Technical Skills
Advanced Python programming for AI/ML applications
Deep understanding of:
1. Large Language Models (LLMs)
2. Machine Learning architectures
3. AI model fine-tuning techniques
4. Prompt engineering
5. AI system design and integration
Core Competencies
Advanced AI solution architecture
Machine learning model optimization
Cloud-native AI system design
Performance tuning of GenAI solutions
Enterprise AI strategy development
Technical Stack
Programming Languages: Python (required)
Cloud Platform: AWS
AI Technologies:
1. Bedrock
2. SageMaker
3. Vector Databases
Machine Learning Frameworks:
1. PyTorch
2. TensorFlow
3. Hugging Face
AI Integration Tools:
1. LangChain
2. LlamaIndex
Why you'll love working with us:
We Offer:
Opportunity to work on technical challenges with global impact.
Vast opportunities for self-development, including online university access and sponsored certifications.
Sponsored Tech Talks & Hackathons to foster innovation and learning.
Generous benefits package including health insurance, retirement benefits, flexible work hours, and more.
Supportive work environment with forums to explore passions beyond work. This role presents an exciting opportunity for a motivated individual to contribute to the
development of cutting-edge solutions while advancing their career in a dynamic and collaborative environment.