Model Development: Implement ML models; preprocess data, engineer features, train/evaluate.
Statistical Analysis: Apply regression, classification, clustering, and anomaly detection.
AI Innovation: Develop applications using Generative AI (LLMs, prompts, embeddings).
Integration: Integrate ML/AI models with internal systems via APIs.
Workflow Optimization: Build scalable ML workflows and data pipelines.
Cross-functional Collaboration: Partner with data engineers, DevOps and developers.

🎯 Requirements

2+ years Python in data science/ML projects.
SQL for querying and analyzing large datasets.
Experience with scikit-learn, PyTorch, or TensorFlow.
Experience with data processing pipelines (Beam, Dataflow, Spark, etc.).
REST APIs and Generative AI concepts (LLMs, RAG, LangChain).
Strong analytical thinking, problem-solving, and English (B2+).

🎁 Benefits

Statutory & Major benefits
Personal Growth
Attractive benefits plan

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