HCL Unica Product_Lead Python Developer_Pune / Mumbai

Greetings from “HCL Software” Is a Product Development Division of HCL Tech!!

HCL Software ( hcl-software.com ) delivers software that fulfils the transformative needs of clients around the world. We build award winning software across AI, Automation, Data & Analytics, Security and Cloud.

About Unica Product : - The HCL Unica+ Marketing Platform enables our customers to deliver precision and high-performance Marketing campaigns across multiple channels like social media, AdTech Platforms, Mobile Applications, Websites, etc. The Unica+ Marketing Platform is a Data and AI first platform that enables our clients to deliver hyper-personalized offers and messages for customer acquisition, product awareness and retention.

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), and apply optimization techniques.

Deployment & MLOps Concepts : Understanding of how to deploy machine learning models into production environments, including concepts of API creation, containerization (Docker), version control for models, and monitoring.

Travel : 30% + / - travel required

Location : India (Pune preferred)

Compensation : Base salary, plus bonus.