HCL Unica Product_Lead Python Developer (Data Science, AI/ML)_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.

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 strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns.

Qualifications & Skills

• At least 6-12 years of Python Development (Data Science, AI/ML) Experience with at least 4 years in data science and machine learning
• Experience with Customer Data Platforms (CDP) like Treasure Data, Epsilon, Tealium, Adobe, Salesforce is advantageous.
• Experience with Lang Chain, RAG for Generative AI is advantageous.
• Experience in building ETL data pipelines using Apache Airflow or similar frameworks
• Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways
• Knowledge of REST, JSON, XML, SOAP is a must
• Ability to work well within an agile team environment and apply the related working methods.
• Excellent communication & interpersonal skills
• A 4-year degree in Computer Science or IT is a must.

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.