Python
Machine Learning (ML)What are we looking for
We are looking for an experienced and exceptional Senior AI/ML Engineer to join our growing team. In this role, you will be involved in the design, development, and optimization of AI and Machine Learning solutions that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of machine learning systems.
Responsibilities
As part of this role you will:
- Design and implement advanced AI/ML systems with a focus on LLMs, embeddings, and retrieval-augmented generation (RAG) architectures.
- Develop and optimize information retrieval solutions including vector databases, semantic search, and knowledge graph implementations.
- Build production-grade AI pipelines for data processing, model training, fine-tuning, and serving at scale.
- Create and maintain graph-based knowledge systems that enhance LLM capabilities through structured relationship data.
- Implement and optimize hybrid RAG architectures combining traditional search, vector embeddings, and knowledge graphs.
- Lead technical initiatives for AI system integration into existing products and services.
- Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models.
Qualifications / Experience / Technical Skills
- Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
- 5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java).
- Demonstrated experience building production systems with LLMs (OpenAI, Anthropic, open-source models) including prompt engineering and fine-tuning.
- In-depth knowledge of vector databases and embedding models for semantic search and retrieval.
- Experience implementing RAG architectures with various retrieval strategies (sparse, dense, hybrid) and context optimization techniques.
- Proficiency with knowledge graph technologies (Neo4j, Neptune, or similar) and graph-based information retrieval.
- Strong background in information retrieval systems including BM25, TF-IDF, and modern neural search approaches.
- Experience with AI/ML infrastructure including containerization, orchestration, and scaling of model inference.
- Expertise in cloud platforms' AI offerings (AWS Bedrock, Azure OpenAI, Vertex AI) and their integration patterns.
- Familiarity with model optimization techniques including quantization, distillation, and efficient serving strategies.
- Experience with streaming data processing for real-time AI applications using technologies like Kafka, Kinesis, or similar.
- Proficiency with AI observability and evaluation tools for tracking model performance, drift, and quality.
- Demonstrated ability to balance technical innovation with production reliability when implementing cutting-edge AI systems.
Shubham Vishwakarma
Full Stack Developer - Averlon
About CLOUDSUFI
About
We exist to eliminate the gap between “Human Intuition” and “Data-Backed Decisions”
Data is the new oxygen, and we believe no organization can live without it. We partner with our customers to get to the core of their problems, enable the data supply chain and help them monetize their data. We make enterprise data dance!
Our work elevates the quality of lives for our family, customers, partners and the community.
The human values that we display in all our interactions are of:
Passion – we are committed in heart and head
Integrity – we are real, honest and, fair
Empathy – we understand business isn’t just B2B, or B2C, it is H2H i.e. Human to Human
Boldness – we have the courage to think and do differently
The CLOUDSUFI Foundation embraces the power of legacy and wisdom of those who have helped laid the foundation for all of us, our seniors. We believe in their abilities and we pledge to equip them, to provide them jobs, and to bring them sufi joy.
Tech stack
Go Programming (Golang)
JavaMachine Learning (ML)
Data Analytics
React.js
React Native
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon