About the role
On behalf of our client, a leading financial services company, we are seeking a highly motivated and experienced Machine Learning Engineer to join the team.
Key Responsibilities:
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Design, build, and optimize ML models to support business and product needs.
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Develop, test, and deploy AI agents (internal and client-facing) using LLMs and MCP within Databricks.
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Implement Retrieval-Augmented Generation (RAG) systems and multi-step reasoning agents.
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Deliver scalable, robust ML and AI solutions that integrate seamlessly with existing systems.
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Acquire, clean, and analyze data from multiple sources to support ML initiatives.
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Ensure data and model quality, integrity, and compliance with best practices.
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Break down complex AI/ML projects into actionable tasks with realistic time estimates.
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Collaborate with cross-functional teams (data engineering, front-end, business, project management, product).
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Maintain clear documentation, project milestones, and deliverables.
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Foster a collaborative, innovative environment and contribute to knowledge sharing.
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Uphold and help establish coding standards and code review processes for AI/ML projects.
Qualifications:
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Advanced Python skills with experience in ML libraries (TensorFlow, PyTorch, Scikit-learn, Keras).
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Proven experience developing and deploying LLM-powered agents with multi-step reasoning.
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Hands-on experience with RAG architectures and MCP.
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Strong proficiency in Databricks for ML workflows, training, and deployment.
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End-to-end experience deploying ML models and AI agents to production.
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Strong SQL skills and familiarity with relational & NoSQL databases.
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Experience with data streaming (Kafka, Flink, or similar).
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Familiarity with MLOps practices: model versioning, CI/CD, monitoring, automated retraining.
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Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
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Experience with NLP, transformers, and predictive analytics models.
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Strong foundation in mathematics, statistics, and computer science.
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Fintech or financial services background strongly preferred.
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Excellent communication skills in English.
What’s offered:
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Permanent role at a fast-growing, multinational company
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Competitive salaries and benefits
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Hybrid work setup
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Supportive and collaborative environment
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Unlimited opportunities for growth and development
OneJar publishes this vacancy on its own careers site. Applications go straight to OneJar: use the Apply button on this page.
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