Senior AI Consultant
Job Overview
We're seeking for a skilled and hands-on Senior AI Consultant to accelerate our clients' AI transformation journeys. You'll be responsible for the design, development, and implementation of cutting-edge AI technologies, ensuring they integrate seamlessly with human intelligence. This role involves providing strategic input and technical execution across diverse industries, crafting and delivering impactful AI solutions—including generative AI, LLMs, computer vision, and ML platforms—that unlock significant business value.
Key Responsibilities
Design, develop, and deploy cutting-edge machine learning and LLM-based applications, with a focus on LLM-powered chatbots.
Optimize and fine-tune Retrieval Augmented Generation (RAG) pipelines for RAG-based analytics on unstructured and structured data, embeddings, and prompt engineering workflows.
Construct scalable data pipelines for efficient preprocessing, model training, and robust evaluation, particularly for LLM-based automation and predictive tools.
Integrate AI models into existing systems by building APIs and connecting to web/mobile user interfaces.
Partner with cross-functional teams to convert business challenges into actionable AI modeling strategies.
Uphold high coding standards through rigorous code reviews, thorough documentation, and adherence to development best practices.
Data-Driven Insights: Conduct in-depth data analysis and leverage advanced AI technologies to generate actionable insights that enhance business operations and decision-making.
Documentation & Compliance: Create clear and concise documentation, reports, and presentations detailing project results and impact. Ensure all AI solutions adhere to ethical standards and regulatory compliance.
Responsible AI & Compliance: Champion the development and deployment of AI solutions that meet the highest ethical standards and regulatory compliance requirements, ensuring fairness, transparency, and accountability.
Qualifications
Education:
Bachelor's or Master’s in Computer Science, AI, Machine Learning, or related field
Certification in cloud AI/ML services (AWS, Azure, or GCP) is a plus
Experience:
8+ years of experience in AI consulting, with a proven track record of delivering AI solutions.
Extensive experience in machine learning, deep learning, and AI technologies.
Strong background in developing, deploying, and optimizing AI/ML models.
Expertise in programming languages like Python, R, and TensorFlow, as well as frameworks like Keras or PyTorch.
Experience working with large datasets and distributed computing frameworks like Hadoop or Spark.
Skills & Qualifications
Masters or advanced certification in AI or machine learning is a plus.
Experience with natural language processing (NLP) and computer vision.
Ability to build and manage AI roadmaps for enterprise-level applications.
Familiarity with AI ethics and responsible AI practices.
Strong communication and presentation skills, with the ability to explain complex AI concepts to non-technical stakeholders.
Proven experience in client-facing roles, with the ability to lead strategic discussions and decision-making processes.
Required Experience
Extensive AI & Generative AI Expertise: A minimum of 5+ years of progressive experience in AI, deeply rooted in data science or machine learning. This includes at least 2 years specifically leading Generative AI (GenAI) and LLM-based projects. Your career should reflect a proven track record in client consulting, solution architecture, or data science consulting, consistently delivering transformative, enterprise-scale AI solutions.
Leadership & Project Delivery: Demonstrated success in leading technical teams through the full lifecycle of complex AI solution development and deployment, from strategic conception to successful production implementation.
Generative AI & LLM Expertise: Deep, hands-on expertise in Large Language Models (LLMs), including practical experience with commercial APIs (OpenAI, Claude) and fine-tuning/deployment of open-source models (e.g., LLaMA, Mixtral).
Specialized LLM Skills: Proven experience in designing, developing, and deploying LLM-powered chatbots, LLM-based automation solutions, and advanced Retrieval Augmented Generation (RAG) pipelines.
Technical Proficiency: Expert-level skills in Python, coupled with extensive experience using key AI/ML frameworks and libraries such as LangChain, Hugging Face, and a strong understanding of vector databases (e.g., FAISS, Qdrant, Pinecone).
Proven Portfolio: A robust portfolio showcasing numerous successful AI projects with clear documentation of significant business impact, advanced technical approaches, and compelling client case studies.
Machine Learning Foundations: A profound theoretical and practical grounding in advanced machine learning principles, robust model evaluation techniques, Natural Language Processing (NLP), and deep learning architectures.
MLOps Acumen: Expertise in MLOps tools and best practices (e.g., MLflow, Weights & Biases, Kubeflow) to ensure scalable, maintainable, and production-ready AI deployments.
Work Environment
Standard working hours from client location
Collaborative, inclusive, and fast-paced team environment.
Occasional travel may be required for client meetings and project implementations.
Compensation & Benefits
We believe in supporting our team members well-being and professional growth. Here's what you can expect:
Competitive Compensation: A highly competitive salary that recognizes your extensive experience and expertise.
Comprehensive Health & Wellness: Robust health insurance coverage and access to wellness programs designed to support your overall well-being.
Future Planning: A retirement plan in accordance with the latest MOM (Ministry of Manpower) Guidelines, helping you plan for your future.
Generous Time Off: Ample paid time off (PTO) and company-paid holidays, ensuring you have time to relax and recharge.
Continuous Growth: Significant professional development opportunities, including access to cutting-edge AI training resources and industry conferences.
Engaging Culture: Participation in vibrant company-sponsored events and initiatives that foster a strong team spirit.
Culture &Values
We are a forward-thinking company committed to fostering a culture of curiosity, creativity, and collaboration. Our team thrives on solving challenging problems, driving innovation, and making a real impact with AI. We value diversity, inclusion, and continuous learning, and we believe that AI can only reach its true potential when humans and machines work in harmony.
Growth Opportunities
As a Senior AI Consultant, you will have the opportunity to expand your expertise in cutting-edge AI technologies, work with industry leaders, and potentially advance to a leadership role within our AI consulting practice. We provide continuous professional development and support for certifications in AI and related fields.
Application Process
To apply, please submit your resume, portfolio of past AI projects, and a brief cover letter outlining your experience and passion for AI consulting.
Equal Opportunity Employer Statement
We are an equal opportunity employer and value diversity at all levels of the organization. We encourage individuals of all backgrounds, experiences, and perspectives to apply.
Job Location
Singapore
Working Hours
Full-time
Reports To
Director of AI Consulting.
Deadline to Apply
Applications are being accepted until August 15, 2025.
How to apply
If you would like to apply, you may send an email to careers@appliedalgorithms.ai
Location
Contacts
Applied Algorithms
An AI consulting company located in Singapore, delivering customized AI strategies designed specifically for each client, and serving a global clientele.
© 2025 Applied Algorithms. All rights reserved.
Singapore
Marina Bay Financial Centre
Level 11, Tower 1
8 Marina Blvd, 018981
