Job Description

For 3-5 Years Experience -

Mid-Level AI/ML Engineer / Data Scientist

1. Core Technical Skills

Python (NumPy, Pandas, Scikit-learn, Matplotlib/Seaborn, beautifulsoup, selenium) SQL(MySQL/PostgreSQL), Mongo DB, NLP, Computer Vision, RAG, Vector DBs, LLMs, Agentic AI, Neural Network, RNN, CNN, LSTMs, web scraping. ML algorithms: regression, decision trees, random forests, XGBoost, SVM, KMeans, DBSCAN, etc. Model evaluation: cross-validation, precision/recall, ROC-AUC, confusion matrix

2. AI/ML Frameworks

Scikit-learn, TensorFlow or PyTorch Keras Familiar with pre-trained models (e.g., BERT, ResNet, Stable Diffusion) and transfer learning

3. Practical Experience

Building and deploying end-to-end ML pipelines Experience with REST APIs or Flask/FastAPI-based model deployment Version control with Git

4. Data Handling

Data preprocessing, feature engineering Experience with structured, semi-structured data and unstructured data Data visualization (Power BI, Tableau, or Python libs)

5. Cloud & DevOps Basics

Working knowledge of AWS/GCP/Azure (S3, Lambda, SageMaker or equivalent) Docker CI/CD understanding

6. Soft Skills

Good documentation practices Able to explain ML models to non-tech stakeholders Cross-functional collaboration experience
Job Types: Full-time, Permanent

Pay: ?450,000.00 - ?650,000.00 per year

Work Location: In person