Python AI/ML Engineer
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About the Role
Job Title: Python AI/ML Engineer (Mid-Level)
Location: Remote
Experience: 3–5 Years
Salary: Best in Industry
Job Overview:
We are looking for a mid-level Python AI/ML Engineer with hands-on experience in building, deploying, and optimizing machine learning models. The candidate should have strong programming skills in Python and a solid understanding of AI/ML concepts, data processing, and model lifecycle management.
Key Responsibilities
* Develop, test, and deploy machine learning models for real-world applications
* Work on data preprocessing, feature engineering, and model selection
* Build and optimize scalable ML pipelines
* Collaborate with data engineers and product teams to integrate AI solutions
* Monitor model performance and improve accuracy over time
* Implement APIs or services to serve ML models in production
* Work with large datasets and ensure data quality and consistency
* Stay updated with the latest advancements in AI/ML technologies
Required Skills
* Strong proficiency in Python
* Hands-on experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch
* Good understanding of supervised and unsupervised learning techniques
* Experience with data manipulation libraries like Pandas and NumPy
* Knowledge of model evaluation and performance metrics
* Experience in building and deploying ML models
* Familiarity with REST APIs and model integration
* Basic understanding of cloud platforms (AWS preferred)
Qualifications
* Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
* 3–5 years of relevant experience in AI/ML or Data Science
* Good to Have
* Experience with NLP or Computer Vision
* Knowledge of MLOps practices
* Experience with Docker or Kubernetes
* Familiarity with data visualization tools
* Exposure to big data tools like Spark
Soft Skills
* Strong analytical and problem-solving skills
* Good communication skills
* Ability to work in a collaborative environment
Job Type: Full-time
Pay: ₹800,000.00 - ₹1,000,000.00 per year
Work Location: Remote
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