Senior Technical Lead

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

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 Senior Python Developer with strong Data Science and Machine Learning

skills and experience to deliver AI driven Marketing Campaigns.

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.

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.

Qualifications & Skills

1. At least 8-10 years. of Python Development Experience with at least 4 years in data

science and machine learning

2. Experience with Customer Data Platforms (CDP) like TreasureData, Epsilon,

Tealium, Adobe, Salesforce is advantageous.

3. Experience with AWS SageMaker is advantegous

4. Experience with LangChain, RAG for Generative AI is advantageous.

5. Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways

6. Knowledge of REST, JSON, XML, SOAP is a must

7. Ability to work well within an agile team environment and applying the related working

methods.

8. Excellent communication & interpersonal skills

9. A 4-year degree in Computer Science or IT is a must.

Travel: 30% +/- travel required

Location: India (Pune preferred)

Compensation: Base salary, plus bonus