We are Seeking a Lead Python Developer (ETL) with 7+ Yrs of Strong Exp in Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns.
Qualifications & Skills: -
- Mandatory Python Development Experience.
- Data Ingestion, ETL - Apache Airflow, Kafka.
- Rest APIs, Postman
Good to have: -
- Databases - SQL Alchemy.
- Machine Learning - Pandas, NumPy, Scikit-learn, Matplotlib.
- GenAI (LLM+RAG) - LangChain, Llama Index, HayStack.
Responsibilities: -
- Python Programming & Libraries: Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization.
- Statistical Analysis & Modelling: Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis.
- Data Cleaning & Preprocessing: Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation.
- SQL & Database Management: Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases.
- Exploratory Data Analysis (EDA): Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships.
- Machine Learning Algorithms:In-depth knowledge and practical experience with a wide range of ML algorithms such as linear models, tree-based models (Random Forests, Gradient Boosting), SVMs, K-means, and dimensionality reduction techniques (PCA).
- Deep Learning Frameworks: Proficiency with at least one major deep learning framework like TensorFlow or PyTorch. This includes understanding neural network architectures (CNNs, RNNs, Transformers) and their application to various problems.
- Model Evaluation & Optimization: Ability to select appropriate evaluation metrics (e.g., precision, recall, F1-score, AUC-ROC, RMSE) for different problem types, diagnose model performance issues (bias-variance trade-off),
Location: India (Pune/Mumbai)
