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 with 7+ Yrs of Strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns.

Qualifications & Skills: -

Mandatory Python Development Experience.

1. Data Ingestion, ETL - Apache Airflow, Kafka.
2. APIs - REST, Postman

Good to have: -

1. Databases - SQL Alchemy.
2. Machine Learning - Pandas, NumPy, Scikit-learn, Matplotlib.
3. GenAI (LLM+RAG) - LangChain, Llama Index, HayStack.

Responsibilities: -

1. Python Programming & Libraries: Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization.
2. Statistical Analysis & Modelling: Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis.

   Looking to get Placed? Try our Placement Guarantee Plan

   Get Hired
3. Data Cleaning & Preprocessing: Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation.
4. SQL & Database Management: Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases.
5. Exploratory Data Analysis (EDA): Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships.
6. 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).
7. 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.
8. 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.
9. 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.