Sr ML and AI (Legacy) - Chennai

Photon; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Photon is seeking a Machine Learning Engineer to design and deploy end-to-end analytics models using statistical methods and Python-based ML libraries. You will collaborate with product and engineering teams to solve business problems, explore data-driven opportunities, and deliver personalized customer experiences on scalable platforms.

Responsibilities include data preparation with Pandas/NumPy, building and productionizing models in Spark/PySpark and Databricks, and crafting infrastructure

Qualifications

• 5+ years of experience in data analytics with strong statistics.
• Proficiency with Python ML libraries and Spark/PySpark.

Responsibilities

• Analyze use cases and design analytics models using statistics and ML.
• Develop ML algorithms to drive personalized customer experiences.
• Apply data mining techniques: forecasting, segmentation, recommendation, fraud detection.
• Extend and augment data with third-party sources for analytics.
• Prepare raw data with cleaning and imputation using Pandas/NumPy.
• Implement models and scalable analytics in Databricks and PySpark.
• Use Jupyter Notebooks for exploration and development.

Skills

Statistical analysis

Python for ML

Education

Bachelor/Master in CS/Math/Physics

PhD preferred

Tools

PySpark

Pandas

NumPy

Jupiter Notebooks

Databricks

scikit-learn

TensorFlow

PyTorch

Job description

We are seeking a Machine Learning Engineer to design and develop robust analytics models using statistical and machine learning algorithms. In this role, you will work closely with product and engineering teams to solve complex business problems, identify data-driven opportunities, and create personalized experiences for customers. You will be responsible for building end-to-end machine learning solutions, implementing models in production, and working with various data frameworks and tools such as Python, Spark, and Databricks.

• Analyze use cases and design appropriate analytics models using statistical and machine learning algorithms tailored to specific business requirements.
• Develop machine learning algorithms to drive personalized customer experiences and provide actionable business insights.
• Apply expertise in data mining and machine learning techniques, including forecasting, prediction, segmentation, recommendation, and fraud detection.

Data Engineering and Preparation:

• Extend and augment company data with third‑party data to enrich analytics capabilities.
• Enhance data collection procedures to include necessary information for building analytics systems.
• Prepare raw data for analysis, including cleaning, imputing missing values, and standardizing data formats using Python data frameworks (e.g., Pandas, NumPy).
• Implement machine learning models, considering both performance and scalability using tools like PySpark in Databricks.
• Design and build infrastructure to facilitate large‑scale data analytics and experimentation.
• Work with tools like Jupyter Notebooks for data exploration and model development.

What We’re Looking For:

• Educational Background: Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A PhD is preferred but not necessary.
• Experience:
  • At least 5 years of experience in data analytics, with a strong understanding of core statistical algorithms such as classification and regression analysis.
  • High‑level knowledge of analytics use cases such as language analysis, assortment optimization, promotional planning, dynamic pricing, markdown optimization, labor scheduling, and optimization.
• Technical Skills:
  • Strong experience with Python‑based machine learning libraries (e.g., scikit‑learn, TensorFlow, PyTorch).
  • Proficiency in using analytics platforms like Databricks for large‑scale data processing.
  • At least 4 years of continuous experience with Spark, particularly PySpark implementation.
  • Hands‑on experience with data processing and analysis tools such as Pandas, NumPy, and Jupyter Notebooks.