AI/ML Developer

INPRO; Pune District; On-site; INR 600,000 - 900,000; Full time

Job summary

INPRO is seeking a skilled ML Engineer to design, develop, test, and deploy machine learning models. You will work with both structured and unstructured data, perform feature engineering, and optimize models for production readiness.

Collaboration with software engineers to integrate models into applications is essential, along with ongoing monitoring and retraining. The role requires strong Python programming skills and hands-on experience with TensorFlow, PyTorch, or Scikit-learn, plus a solid

Qualifications

• Bachelor’s degree in CS/IT or AIML/ML-related field.
• Strong Python programming and ML library experience.
• Experience with data analysis tools and SQL.
• Familiarity with model evaluation metrics and validation techniques.

Responsibilities

• Design, develop, test, and deploy ML models and algorithms.
• Work with structured and unstructured data for training and evaluation.
• Implement data preprocessing, feature engineering, and model optimization.
• Collaborate with software engineers to integrate models into applications.
• Monitor model performance and retrain as needed.
• Document experiments, models, and results clearly.
• Stay updated with AI/ML tools, frameworks, and best practices.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

NumPy

Pandas

Matplotlib/Seaborn

SQL

ML algorithms

Deep learning basics

Education

BE/BCS/IT or AIML related

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

• Design, develop, test, and deploy machine learning models and algorithms
• Work with structured and unstructured data for model training and evaluation
• Implement data preprocessing, feature engineering, and model optimization techniques
• Collaborate with software engineers and product teams to integrate ML models intoapplications
• Monitor model performance and retrain models as needed
• Document experiments, models, and results clearly
• Stay updated with the latest AI/ML tools, frameworks, and best practices.
• Strong programming skills in Python
• Hands-on experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, orsimilar
• Understanding of machine learning algorithms (regression, classification, clustering, etc.)
• Basic knowledge of deep learning concepts
• Experience with data analysis tools like NumPy, Pandas, and Matplotlib/Seaborn
• Familiarity with SQL and basic database concepts
• Understanding of model evaluation metrics and validation techniques

Qualifications

BE -CS/IT/Artificial Intelligence Machine Learning (AIML)/Artificial Intelligence Modelling Language/Computer Science and Design BTECH-CS/DS - Data Science MTECH-CSE BSC-CS/IT BCA-IT/CS MCA-IT/Computer Science MSC-IT/CS ME-CS/IT BVOC (SOFTWARE DEVELOPMENT

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