AI Developer
Indexed description
- Strong knowledge and deep experience of Python and Toolchains, Java, SQL, JavaScript (D3.js), Bash
- Experienced in and strong knowledge of using Gen AI, AI/ML and more particularly LLMs eager to apply this rapidly changing Technology
- Machine Learning: Neural Networks, Decision Trees, SVM, NLP, Reinforcement Learning, Ensemble Methods, MCP
- Strong knowledge with RAG (Retrieval-Augmented Generation), Prompt Engineering, Agentic AI
- Knowledge of advanced statistical/machine learning techniques, Algorithms, Concepts and Experience in the Applications
- Data Processing: Hadoop, Spark, Kafka, Hive, NumPy, Pandas, Matplotlib
- Experience with CI/CD and MLOps tools/frameworks (e.g. MLflow and W&B)
- Strong Distributed Systems Skills and Knowledge
- Knowledge of other modern, functional languages e.g. Scala, Clojure, Rust, Elixir
- Solid understanding of REST-ful Design
- Experience with Kubernetes
Generative AI & Machine Learning Leadership
- Design, develop, and deploy Generative AI and Large Language Model (LLM) solutions to solve complex business problems.
- Lead implementation of advanced GenAI patterns, including Retrieval Augmented Generation (RAG), prompt engineering, and agentic AI workflows.
- Continuously evaluate and apply emerging AI/ML technologies, frameworks, and research to improve model quality, performance, and scalability.
- Translate business requirements into AI driven solutions with measurable outcomes.
- Build, train, tune, and deploy machine learning models, including:
- Neural Networks
- Decision Trees
- SVMs
- NLP models
- Reinforcement Learning systems
- Ensemble techniques
- Apply advanced statistical and ML algorithms to real world data for prediction, classification, and optimization problems.
- Ensure model robustness, explainability, and performance across production environments.
- Develop high quality, scalable solutions using Python, with strong use of Java, SQL, Bash, and JavaScript (D3.js) as required.
- Design and implement RESTful APIs and microservices to expose AI/ML capabilities.
- Follow software engineering best practices including clean code, testing, and documentation.
Qualifications: BACHELOR OF COMPUTER SCIENCE
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