Software Engineer (AI/ML)

Bachelors degree in IT, Computer Science, AI / ML Engineering, Business Analytics or equivalent

A minimum of 3 years of professional experience in the data engineering and analytics field, including Data Science / AI / Machine Learning engineering with a focus on Generative AI technologies

Proficiency in programming languages such as Python,Rust and SQL

Fundamental coding skills are crucial for developing AI solutions

Expertise in Generative AI frameworks and libraries, e.g., LangChain, LlamaIndex, AutoGen, CrewAI, Langraph, llamacpp & OpenAI. Specific expertise relevant to the job role

Expertise in Data science and machine learning frameworks and libraries, such as Scikit-learn, TensorFlow, and PyTorch. Core skills for AI/ML development.

Strong understanding of data pre-processing, feature engineering, and model evaluation techniques. Critical for developing effective AI models

Good knowledge on Prompt engineering techniques and cost optimization strategies for Closed Source LLMs.

Valuable for efficiency and optimization but more specialized

Experience in fine-tuning open-source Large Language Models (LLMs) such as Llama 2, Gemma, Mixtral, Phi-2, Orca2,function calling LLMs etc.

Directly relevantto leading-edge AI projects.

Proficiency in developing LLM-based RAG (Retrieval Augmented Generation)

Familiarity with cloud-based AI services and platforms, with a preference for AWS / Azure.

Useful but not exclusive; knowledge of other platforms is also valuable

Good knowledge of Multimodal language models, embeddings, including Llava, GPT-4V, and Gemini. Enhances the capability to work on diverse AI projects but is more specialized

Experience working with closed-source Large Language Models, e.g., OpenAI, Gemini & mistral.

Beneficial for working with proprietary technologies but not a fundamental requirement

Good understanding of embedding models and embedding pipelines.

Supports specific types of AI applications pipelines with Vector databases & Graph databases. Important for advanced AI applications

Ability to develop LLMbased agentic workflows to support suitable business use cases. Essential for applying AI to real-world problem

Experience in LLM model & prompt evaluation.

Important for quality assurance but can be complemented by broader experience

Familiarity with LLMops (Observability) for efficient monitoring and management of models in production environments.

Useful for operational aspects but not a core skill

Experience with Git and Agile software project management tools, such as JIRA, Confluence, and CI/CD pipelines. Necessary for modern software development practices.

Strong experience in converting business requirement into technical requirement and providing end to end solution flow for AI applications

Information :

• Company : Unison Consulting
• Position : Software Engineer (AI/ML)
• Location : Singapore
• Country : SG