Specialist, AI Engineer

Required Skills / Competencies

• Programming Languages
  • Strong in Python, data structures, and algorithms.
  • Hands-on with NumPy, Pandas, Scikit-learn for ML prototyping.
• Machine Learning Frameworks
  • Understanding of supervised/unsupervised learning, regularization, feature engineering, model selection, cross-validation, ensemble methods (XGBoost, LightGBM).
• Deep Learning Techniques
  • Proficiency with PyTorch or TensorFlow/Keras
  • Knowledge of CNNs, RNNs, LSTMs, Transformers, Attention mechanisms.
  • Familiarity with optimization (Adam, SGD), dropout, batch norm.
• LLMs RAG
  • Hugging Face Transformers (tokenizers, embeddings, model fine-tuning).
  • Vector databases (Milvus, FAISS, Pinecone, ElasticSearch).
  • Prompt engineering, function/tool calling, JSON schema outputs.
• Data Tools
  • SQL fundamentals; exposure to data wrangling and pipelines.
  • Git/GitHub, Jupyter, basic Docker.

What are we looking for

• Solid academic foundation with strong applied ML/DL exposure.
• Curiosity to learn cutting-edge AI and willingness to experiment.
• Clear communicator who can explain ML/LLM trade-offs simply.
• Strong problem-solving and ownership mindset.

Minimum Qualifications

Doctorate (Academic) Degree and 5 years related work experience; Masters Level Degree and related work experience of 8 years; Bachelors Level Degree and related work experience of 7 years in building AI systems/solutions with Machine Learning, Deep Learning, and LLMs.

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