Sr. AI/ML Developer
- Thane, Maharashtra
- Permanent
- Full-time
- Model Development: Design, build, and deploy machine learning models, utilizing advanced techniques to ensure optimal performance.
- Data Processing: Work with large-scale data processing frameworks such as PySpark and Hadoop to efficiently handle big data.
- Model Analysis and Optimization: Analyze model performance and fine-tune models to improve accuracy, scalability, and speed.
- Collaboration: Work closely with data scientists, analysts, and engineers to understand business requirements and integrate AI/ML solutions.
- Version Control: Utilize Git for version control to ensure proper management and documentation of model code and workflows.
- Project Management: Participate in sprint planning, track progress, and report on key milestones using JIRA.
- Notebook Workflows: Use Jupyter/Notebook for interactive development and presentation of model outputs, insights, and results.
- TensorFlow: Implement and deploy deep learning models using TensorFlow, optimizing them for real-world applications.
- Programming: Strong proficiency in Python, with experience in data manipulation and libraries like NumPy, Pandas, and SciPy.
- Big Data Technologies: Hands-on experience with PySpark, Hadoop, and Hive for managing large datasets.
- Model Development: Expertise in machine learning model building, training, validation, and deployment using frameworks like TensorFlow, Scikit-learn, etc.
- Deep Learning: Familiarity with TensorFlow for building and optimizing deep learning models.
- Version Control and Collaboration: Proficiency in Git for source control and JIRA for project tracking.
- Problem-Solving: Strong analytical skills to troubleshoot, debug, and optimize models and workflows.
- Experience: 8-10 years in AI/ML development with significant exposure to machine learning and deep learning techniques.
- Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Knowledge: Deep understanding of AI/ML algorithms, model evaluation techniques, and data manipulation.
- Hands-on experience with cloud platforms like AWS, GCP, or Azure.
- Familiarity with containerization tools like Docker and Kubernetes.
- Experience in deploying models into production environments.
Expertia AI Technologies