Lead Analyst, AI Engineer

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

Key Skills

Administrative Skills,Facilities Management,Biotechnology,Creative Production,Design And Estimation,Architecture

Employment Type : Full Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 4000000 - 4800000