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Senior Machine Learning Engineer

4 days ago17 views
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General Details
Advertised By:Agency
Company Name:Executive Placements
Job Type:Full-Time
Description
Our client is a respected analytics-led consulting firm delivering innovative software, data, and AI solutions. As a Senior Machine Learning Engineer, you will architect, build, and operationalise systems that power data science, machine learning, and LLM use cases. You will take ownership from concept to production, guide junior engineers, and ensure engineering best practices across projects.
The role requires strong software engineering capability, endâ??toâ??end delivery ownership, and the ability to translate analytical and business requirements into scalable technical solutions.

Key Responsibilities

  • Design, develop, and deliver software components for analytics, ML, and AI/LLMâ??enabled systems.
  • Build backend services, APIs, data models, and scalable inference pipelines.
  • Develop and maintain data pipelines, feature stores, and modelâ??serving interfaces.
  • Ensure codebases are maintainable, wellâ??documented, tested, and productionâ??ready.
  • Lead endâ??toâ??end solution delivery, including design, testing, deployment, and optimisation.
  • Mentor junior engineers and enforce engineering best practices.
  • Participate in client engagements and collaborate with crossâ??functional teams.
  • Act as a trusted technical advisor to consultants and clients.

Job Experience & Skills Required

Education

  • MSc in Computer Science or related field (nonâ??negotiable).
  • Strong grounding in software engineering, algorithms, programming principles, mathematics, and probability.
  • PhD in AI/ML or distributed systems advantageous.

Experience

  • Minimum 2+ years of professional software engineering experience.
  • Proven contributions to productionâ??grade systems across the full development lifecycle.
  • Experience in analytics, data science, ML, or AIâ??enabled environments beneficial.
  • Ability to translate analytical and business requirements into technical system designs.
  • Consulting or clientâ??facing experience advantageous.

Technical Skills

  • Programming: Python (required), SQL; JavaScript frameworks (Next.js, React) advantageous.
  • Frameworks & Tools: Node.js, PyTorch, Docker, Kubernetes.
  • Data & Integration: REST APIs, microservices, message queues.
  • DevOps: Git/GitHub, CI/CD pipelines.
  • Systems: Windows & Linux.
  • Cloud (advantageous): AWS, Azure, or GCP.

Competencies


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Executive Placements
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