AI Success™

Job Description

JOB OVERVIEW:
As an AI Engineer, you will leverage cutting-edge AI to solve complex, industry-specific problems, particularly within the maritime sector. You will be instrumental in a rapidly evolving, client-centric organization, making a significant impact by thinking critically, articulating a compelling vision, and guiding both technical and non-technical stakeholders. Your role requires a proven ability to architect complex AI/ML solutions from problem framing to production-ready design, a profound understanding of diverse business models, and strong consultative sales skills to identify strategic pain points solvable by AI. You will build functional AI/ML prototypes with clean, modular code for production, assess data readiness, identify data gaps, and recommend robust data governance frameworks. Additionally, you will identify emerging trends, synthesize complex information, and present strategic recommendations to senior leadership and external audiences. Success hinges on your ability to translate complex technical concepts into clear business value, build strong client relationships, and drive consensus across diverse teams. You must be highly motivated to drive initiatives independently in a dynamic startup environment, with a passion for continuous learning and innovation.
DUTIES AND RESPONSIBILITIES:
• Proactively identify and engage with high-value business opportunities and potential clients who can significantly benefit from advanced AI and machine learning solutions. Deeply understand client business challenges, pain points, and strategic goals, translating them into clear, solvable AI/ML problems.
• Design end-to-end AI solutions, articulating compelling value propositions and the strategic roadmap for adoption.
• Conduct in-depth assessments of client data infrastructure, data governance, data quality, and overall data maturity.
• Make expert judgment calls on data "AI-readiness" and provide actionable recommendations for data improvement, gap identification, and strategic data capitalization opportunities.
• Rapidly develop functional AI prototypes and Proof-of-Concepts (POCs) that are architecturally sound, adhere to best practices for maintainability, and are designed for production.
• Continuously research and evaluate the latest AI advancements, including Generative AI, Large Language Models (LLMs), Deep Learning, and MLOps methodologies. Synthesize findings into actionable insights, influencing our company's strategic roadmap, service offering development, and contributing to industry thought leadership through presentations to leadership and external forums (moderate to high emphasis).
• Collaborate effectively with the internal AI Production team, ensuring prototypes and solution designs are well-documented, understood, and seamlessly integrated into the full development lifecycle.
• Clearly define the business case, expected return on investment (ROI), and measurable benefits of proposed AI/ML implementations, simplifying complex technical concepts for non-technical audiences.
QUALIFICATIONS AND EXPERIENCES:
• Minimum Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. Master's or Ph.D. preferred.
• At least 5+ years of progressive experience in AI/ML solution design, data science, or AI engineering, with a significant portion in a client-facing or consulting capacity.
• Proven experience in designing, developing, and deploying functional AI/ML prototypes that demonstrate business value and are engineered for production.
• Expert proficiency in Python and extensive experience with core AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Demonstrated hands-on experience with Generative AI and Large Language Models (LLMs), including frameworks like LangChain, for designing and prototyping novel applications.
• Strong practical experience with Google Cloud Platform (GCP) services relevant to AI/ML (e.g., Vertex AI, BigQuery, Cloud Storage, Dataflow, Cloud Functions).
• Proficiency with Docker for containerization and a foundational understanding of container orchestration (e.g., Kubernetes concepts for GKE).
• Solid understanding of MLOps principles for reproducibility, experiment tracking (e.g., MLfl ow, Vertex AI ML Metadata/Model Registry), and model versioning.
• High-level expertise in data governance frameworks, data quality assessment (including tools/libraries like Great Expectations), metadata management (e.g., Google Cloud Data Catalog), and data architecture principles.
• Strong expertise in distributed computing and parallel processing techniques is vital for handling large-scale AI workloads.
• A proven track record of innovations and executions in deep learning, demonstrated through shipping products or first-author publications at leading AI conferences, is a strong differentiator.
• Experience in the container shipping industry or related logistics/supply chain domains is highly advantageous.
• Excellent presentation, documentation, and stakeholder management skills.
Working hours:
Mon to Fri, 8:30am to 5:30pm

About Unison Group

Unison Consulting was launched in Singapore on September 2012, the hub of the financial industry, with innovative visions in the technocratic arena. We are a boutique next-generation Technology Company with strong business-interests in Liquidity risk, Market Risk, Credit Risk and Regulatory Compliance.

Unison provides technology consulting and services to implement Risk Management and Risk Analytics System for Financial Institutions. Our services suite comprises of Techno-Functional consulting, systems integration, Business Intelligence, information management, and custom development of IT solutions, plus project management expertise for financial institutions.

We have expertise in latest cutting edge technology to achieve better total cost of ownership. Through our qualified professionals, we assist you drive your unique risk management strategies, whether that means efficient monitoring, improving risk appetite of the financial institutions, complying with regulations, or capturing growth opportunities through innovation, this is what maximizes your decision taking potential. At Unison Consulting, we view clients as partners, and our success is only measured by the success of our partners. So we put it all on the table in order to exceed expectations.

Our staff consists of young, energetic and innovative consultants who are never afraid to challenge the conventions and push the boundaries in an effort to help our clients. For every project, no matter how large or how small, we strive to not only meet your needs, but deliver a showcase in your field.

Industry

IT & Software

Company Size

51-200 employees

Headquarters

Unknown

Year Founded

2012

Website

com.sg

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