Python AI/ML Developer

MXPERTZ Infolabs -
Indore, Madhya Pradesh

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Job details

Full-time

Qualifications

TensorFlow
Image processing
Azure
Computer Science
Software deployment
NumPy
NoSQL
Google Cloud Platform
Master's degree
Databases
SQL
Pandas
Statistical analysis
AWS
Analysis skills
Math
Docker
Bachelor's degree
Machine learning
Back-end development
Natural language processing
Django
OpenCV
APIs
Agile
Data science
Keras
Flask
AI
Communication skills
Python
Data Science

Full job description

Role overview

We are looking for a highly skilled Python AI/ML Developer to join our growing technology team. The ideal candidate will have a strong background in machine learning, data science, and backend development using Python. You will be responsible for designing, developing, and deploying intelligent systems and algorithms that solve real-world problems and enhance our products through automation, prediction, and data-driven insights.

Key Responsibilities

– Design, develop, and implement machine learning models and AI-driven solutions using Python.
– Work on data preprocessing, feature engineering, and model optimization to ensure accuracy and scalability.
– Collaborate with data engineers, product managers, and software developers to integrate ML models into production environments.
– Build and maintain end-to-end ML pipelines, from data ingestion to model deployment.
– Research and apply the latest techniques in AI, NLP, deep learning, and computer vision (depending on project needs).
– Evaluate model performance using appropriate metrics and continuously refine them for better outcomes.
– Develop scalable APIs and microservices for model inference using Flask, FastAPI, or Django.
– Ensure model reliability, monitoring, and performance tracking post-deployment.
– Stay updated with emerging AI/ML frameworks, tools, and trends to recommend improvements.

Requirements

– Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.
– 1+ year of experience in AI/ML development using Python.
– Strong proficiency in Python libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras, or OpenCV.
– Experience with data wrangling, statistical analysis, and machine learning algorithms.
– Knowledge of model deployment and serving frameworks (e.g., Flask, FastAPI, Docker).
– Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for model training and deployment.
– Understanding of SQL/NoSQL databases and data pipelines.
– Strong analytical, mathematical, and problem-solving abilities.
– Good communication skills and ability to work in a collaborative, agile environment.

Department

Production

Qualifications

Graduate

Job Type

Full-time

Experience

1 to 2 Years

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Role overview

Key Responsibilities

Requirements

Department

Qualifications

Job Type

Experience

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