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HCL Unica Product_Lead Python Developer_Pune/Mumbai
HCL Unica Product_Lead Python Developer_Pune/MumbaiHCLSoftware • mumbai, India
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HCL Unica Product_Lead Python Developer_Pune / Mumbai

HCL Unica Product_Lead Python Developer_Pune / Mumbai

HCLSoftware • mumbai, India
30+ days ago
Job description

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

HCL Software (hcl-software.com) delivers software that fulfills 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.

Role – Lead Python Developer (Data Science & AI / ML).

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 Experience in Python Development with at least 4 years in data science and machine learning.
  • Python Programming & Libraries : Proficient in Python with extensive experience using Pandas for data manipulation.
  • Experience with AWS SageMaker is advantageous.
  • Experience with LangChain, RAG for Generative AI is advantageous.
  • 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.
  • Experience with Customer Data Platforms (CDP) like TreasureData, Epsilon, Tealium, Adobe, Salesforce is advantageous.
  • 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 : Pune & Mumbai.

    Compensation : Base Salary, Plus Bonus.

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