Lead Analyst, AI Engineer
Lead Analyst, AI Engineer
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Job Description
Job Description/Preferred Qualifications
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 2 years related work experience; Masters Level Degree and related work experience of 5 years; Bachelors Level Degree and related work experience of 7 years in building AI systems/solutions with Machine Learning Deep Learning and LLMs.
Required Skills:
Min 5 yrs experience in the Mandatory Skills: Python Deep Learning Machine Learning Algorithm Development and Image Processing 3.5 to 4 yrs proficiency with PyTorch or TensorFlow/Keras
Employment Type
Full Time
