Senior Data Scientist & AI Engineer (GenAI + MLOps)

Bentego; Fatih; Hybrid; TRY 900,000 - 1,200,000; Full time

Benefits offered by this job

Great Place to Work

Great Place to Work IT certified

Remote work expenses support

Net paid salary

Health insurance

English platform

Birthday off

Job summary

Bentego in Turkey seeks a Senior Data Scientist & AI Engineer to design and deliver end-to-end data science and GenAI solutions for enterprise clients. You’ll own the lifecycle from exploratory analysis to deployment, including LLM-based systems, optimization, and MLOps.

You’ll lead a small team, mentor colleagues, and collaborate with business units to translate data insights into measurable value.

Qualifications

• Bachelor's degree in Computer Engineering or related field.
• At least 6 years in data science or ML.
• Proficiency in Python and libraries; SQL experience.
• Knowledge of ML/DL and NLP, GenAI tech.
• Hands-on with LLMs and production deployments.
• Experience leading teams and mentoring.

Responsibilities

• Perform exploratory data analysis and feature engineering.
• Develop ML and DL models end-to-end, including GenAI solutions.
• Design and implement MLOps processes and CI/CD.
• Build AI agents and GenAI workflows; optimize for business value.
• Collaborate with business teams and communicate insights.

Skills

Bachelor's degree in Computer Eng

6+ years data science / ML

Python + NumPy/Pandas/ scikit-learn

SQL

ML/DL (CNN, RNN, Transformers)

LLM / GenAI / NLP

LangChain / LlamaIndex / OpenAI API

MLOps (MLflow, Airflow, Kubeflow)

Git & Docker / Kubernetes

Team leadership / mentoring

Education

Bachelor's degree in Computer Engineering or related

Master's or PhD (nice to have)

Tools

LangChain

LangGraph

LlamaIndex

CrewAI

AutoGen

OpenAI API

Hugging Face

Job description

Bentego in Turkey seeks a Senior Data Scientist & AI Engineer to design and deliver end-to-end data science and GenAI solutions for enterprise clients. You’ll own the lifecycle from exploratory analysis to deployment, including LLM-based systems, optimization, and MLOps.

You’ll lead a small team, mentor colleagues, and collaborate with business units to translate data insights into measurable value.