Posted:3 hours ago|
Platform:
Remote
Full Time
Seeking a senior data scientist / AI engineer capable of leading the design and implementation of advanced AI/ML systems end to end. The role blends traditional machine learning, modern LLM-driven and agentic-AI architectures, and mature MLOps practices. This engineer will shape solution strategy, translate business problems into deployable models and pipelines, integrate tool-using agents, and ensure systems are reliable, scalable, and cost-efficient. A strong foundation in low-level data manipulation and ML fundamentals is expected, enabling effective experimentation, feature engineering, and troubleshooting across the stack.
Key Responsibilities
Build end-to-end ML pipelines (data prep training deployment monitoring).
Develop agentic-AI systems using LLMs, retrieval, and tool orchestration.
Implement and optimize traditional ML models and feature engineering workflows.
Set up CI/CD for ML, model registries, feature stores, and observability.
Use cloud and big-data components (Spark, distributed storage) for scale.
Required Skills
Strong applied ML and statistical understanding.
Practical MLOps experience (automation, orchestration, monitoring).
Experience with LLMs, vector databases, and agent frameworks.
Solid low-level skills: Python, NumPy, pandas, scikit-learn, data cleaning, feature engineering.
Familiarity with big-data tools and distributed compute.
This is U.K client on direct client payroll as remote opportunity
Send your updated profile at info@codemythos.co.in
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