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Pune, MH, INPosted Today
hybrid

Job Description

What you’ll do:

Senior Analyst AI/ML Engineer
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Role Overview
We are looking for a motivated AI/ML Engineering graduate to join our Artificial Intelligence and Machine Learning (AIML) team. This role is ideal for a 4-5 year experienced candidate with a strong academic foundation in AI/ML who is eager to apply theory to real world business problems under mentorship.
You will work closely with senior AI/ML engineers, data scientists, and platform teams to build, experiment with, and operationalize machine learning solutions on enterprise scale data platforms.
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Key Responsibilities
•    Assist in building and training machine learning models for structured and unstructured data use cases
•    Perform data analysis, preprocessing, and feature engineering on large datasets
•    Support experimentation using AutoML and custom ML approaches
•    Evaluate model performance and assist in tuning for accuracy and robustness
•    Work with AI/ML platforms and tools for model development and experimentation
•    Collaborate with engineers and analysts to understand business problems and translate them into ML tasks
•    Document experiments, learnings, and model outcomes clearly
•    Follow best practices for responsible AI, data governance, and security

Qualifications:

•    Bachelor’s degree in Engineering (B.E./B.Tech), 4 to 7 years of work experience.

Skills:

o    Artificial Intelligence
o    Machine Learning
o    Data Science
o    Computer Science (with strong AI/ML coursework)
•    Strong fundamentals in: 
o    Machine Learning algorithms
o    Statistics and linear algebra
o    Data structures and basic algorithms
•    Working knowledge of Python
•    Familiarity with ML libraries such as: 
o    scikit learn
o    TensorFlow or PyTorch (basic exposure is sufficient)
•    Basic understanding of SQL and working with datasets
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Good to Have 
•    Exposure to: 
o    Cloud platforms (Azure / AWS / GCP)
o    Data platforms like Snowflake
o    ML lifecycle concepts (training, evaluation, deployment)
•    Academic or personal projects involving: 
o    Predictive modeling
o    NLP or computer vision
o    Time series forecasting
•    Familiarity with notebooks, Git, or basic MLOps concepts

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