CareerPlan

AI/ML Engineer - Senior

Full-time2026-11-08

Core

Develop and deploy AI/ML solutions including Generative AI, LLMs, NLP systems, and RAG architectures while managing the full ML lifecycle from data preparation to MLOps automation.

Role type

Senior AI/ML Engineer

Builds

Production AI/ML models, APIs, and RAG architectures for client digital transformation

Domain

IT Business Consulting / Artificial Intelligence & Machine Learning

Deliverable

production ML models

Required skills

Python, R, SQL, TensorFlow, PyTorch, scikit-learn, LangChain, LlamaIndex, MLflow, Kubeflow, OpenShift, FastAPI, statistical testing, data governance, bias detection/mitigation, model alignment, SHAP

Preferred skills

Time Series analysis, data cleaning, machine translation quality evaluation, information extraction, D3.js, Matplotlib, GGplot, Agile methodologies

Technologies

Python, R, TensorFlow, PyTorch, scikit-learn, LangChain, LlamaIndex, MLflow, Kubeflow, OpenShift, FastAPI, SQL, D3.js, Matplotlib, GGplot

Responsibilities

Develop and deploy AI/ML solutions including Generative AI, LLMs, NLP, and RAG architectures; Manage the full ML lifecycle including data preparation, feature engineering, training, deployment, monitoring, and MLOps automation; Ensure data quality, governance, and compliance including AI Act requirements and bias mitigation; Design and optimize AI architectures; Analyze large and complex datasets using SQL and statistical methods; Collaborate with stakeholders to define requirements and solution roadmaps; Produce technical documentation and presentations.

Seniority

Senior, hands-on IC