
NetAnalytiks - Machine Learning Engineer - Python
4 weeks ago
Company : NetAnalytiks Technologies Ltd.
Location : Infantry Road, Bangalore.
Experience : 46 Years.
CTC : Up to 20 LPA.
Start Date : Immediate.
About NetAnalytiks Technologies Ltd :
NetAnalytiks Technologies is a leading IT services provider specializing in Generative AI, Machine Learning, Full Stack Development, Cybersecurity, Cloud Computing, and more.
We deliver tailored IT consulting, managed services, custom application development, and IT staffing solutions to clients across diverse industries.
Role Overview :
We are seeking a highly skilled and motivated Senior Developer with strong hands-on experience in Machine Learning and Python.
The ideal candidate will be responsible for designing, developing, and deploying scalable ML solutions, collaborating with cross-functional teams, and contributing to cutting-edge AI-driven projects.
Key Responsibilities :
- Design and implement robust machine learning models and algorithms for real-world applications.
- Develop and maintain Python-based data pipelines and ML workflows.
- Collaborate with data scientists, engineers, and product teams to integrate ML solutions into production systems.
- Conduct data preprocessing, feature engineering, and model evaluation.
- Optimize model performance and scalability for deployment.
- Stay updated with the latest trends and advancements in AI/ML technologies.
- Mentor junior developers and contribute to code reviews and best practices.
Must-Have Skills :
- 46 years of hands-on experience in Machine Learning and Python.
- Strong understanding of ML algorithms, model evaluation metrics, and data preprocessing techniques.
- Experience with ML libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost.
- Proficiency in working with large datasets, data wrangling, and visualization tools.
- Familiarity with version control systems (e.g., Git) and agile development practices.
- Excellent problem-solving skills and ability to work independently.
Good to Have :
- Experience with Generative AI or Deep Learning.
- Exposure to cloud platforms like AWS, Azure, or GCP.
- Knowledge of MLOps tools and practices.
- Background in Full Stack Development or Data Engineering.
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