Senior ML & AI Engineer

Optimum Solutions • Python • Java • Scala • 5 days ago
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Salary
$75k – $113k per year (gross)
Location
In office (Singapore)
Seniority
Senior · 10+ years exp
Employment
Contractor

First seen by Alion on Sep 28, 2026.

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Optimum Solutions

Optimum Solutions is an IT services and outsourcing company headquartered in Singapore that provides software engineering, application development and maintenance, data and analytics, cloud and infrastructure, testing and global capability centre services. Founded in 1997, it reports more than 4,000 employees across offices and delivery centres in nine countries, including India and China, and supplies contract IT staff to banks and global technology clients. Its Singapore listings cover Java and .NET developers, DevOps and GenAI engineers, business analysts, scrum masters, UX designers, compliance associates and contract privacy support and AI video roles.
theoptimum.net • HQ: Singapore • IT Resellers & VARs • IT Consulting & Digital Transformation • 1001-5000 employees • Est. 1997

Responsibilities

  • Lead the design and engineering of enterprise AI/ML, NLP, Generative BI, GenAI and Agentic AI solutions for regulated banking environments.
  • Build reusable frameworks for RAG, LLM applications, agent workflows, requirements discovery, code/test generation and advanced analytics.
  • Define and implement feature engineering, model and agent evaluation, prompt testing, human-in-the-loop review and acceptance criteria.
  • Operationalize ML models and AI agents using MLOps pipelines, MLflow, CI/CD, model registries, monitoring, observability and rollback controls.
  • Integrate enterprise LLMs with governed data, semantic layers, metadata, vector databases, BI platforms, APIs and cloud AI services.
  • Lead technical reviews, production-readiness assessments, performance optimization, responsible AI, security, governance and mentoring of AI/ML engineering teams.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science or a related technical discipline.
  • 10+ years of experience in software engineering, analytics, AI/ML or data science, with strong technical leadership in enterprise AI/ML delivery.
  • Strong hands-on expertise in Python, Spark, Scala/Java, TensorFlow, PyTorch, scikit-learn, MLflow and modern LLM/Agent frameworks.
  • Proven experience with RAG, embeddings, vector search, LLMs, Agentic AI, prompt engineering, model evaluation, monitoring and drift detection.
  • Strong knowledge of Hadoop/Cloudera, cloud AI services, Kubernetes, APIs, MLOps, CI/CD, observability, model governance and responsible AI.
  • Banking domain experience across AML, risk, payments, finance or customer analytics, with strong communication, stakeholder management and mentoring skills; cloud ML/AI or Databricks certifications are preferred.

Skills

Azure AI, AI Agents, AI Governance, Artificial Intelligence, Customer Analysis, Software Engineering, Banking Experience, Scientific Expertise, Computer Science, AI Models, MLOps, CI/CD, Feature Engineering, Developing Frameworks, Engineering Leadership, Data Science

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