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Python Developer with AIML

Python Developer with AIML

HCLSoftwarenoida, delhi, in
1 day ago
Job description

Role – Senior Python Developer (Data Science, AI / ML)

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.

Please share CV to monica_sharma@hcl-software.com with the below details :

Current CTC-

Expected CTC-

Notice Period-

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 Senior Python Developer with strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns.

Qualifications & Skills

  • At least 8-10 years. of Python Development Experience with at least 4 years in data science and machine learning
  • Experience with Customer Data Platforms (CDP) like TreasureData, Epsilon, Tealium, Adobe, Salesforce is advantageous.
  • 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.
  • 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)

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