Job Description
- Project Role : Analytics and Modelor
- Project Role Description : Analyze and model client, market and key performance data. Use analytical tools and techniques to develop business insights and improve decision-making.
- Must have skills : Talend ETL
- Minimum 5 year(s) of experience is required
- Educational Qualification : 15 years full time education
- As an AI/ML Engineer, you will develop and implement applications and systems that leverage artificial intelligence and machine learning tools. Your role will involve designing production-ready pipelines for cloud or on-premise applications and applying advanced GenAI models. You'll work with various AI technologies, including deep learning, neural networks, chatbots, and image processing, to create cutting-edge solutions.
- Professional & Technical Skills:
- Must-Have Skills:
- Proficiency in machine learning and hands-on experience with various machine learning algorithms, including linear regression, logistic regression, decision trees, clustering algorithms, and predictive modeling (ANN, Gradient Boosting, K-NN).
- Strong understanding of statistical analysis and machine learning algorithms.
- Solid grasp of data munging techniques, including data cleansing, transformation, and normalization to ensure data quality and integrity.
- Experience with cloud AI services and tools, as well as on-premise AI systems.
- Knowledge of predictive analytics and related algorithms.
- Good-to-Have Skills:
- Experience with deep learning, neural networks, chatbots, and image processing.
- Familiarity with GenAI models and their integration into applications.
- Additional Information:
- The ideal candidate should have a strong background in AI/ML engineering, with experience in developing production-ready applications and systems.
- This role provides the opportunity to work on innovative AI technologies and contribute to the advancement of AI solutions.
Job Responsibilities
- Independent Performance:
- Perform independently and become a Subject Matter Expert (SME) in AI/ML technologies.
- Application Development:
- Design and develop AI/ML applications based on business process requirements.
- Create and configure applications to ensure optimal performance and functionality.
- Integration and Troubleshooting:
- Collaborate with cross-functional teams to integrate applications with other systems.
- Provide technical support, troubleshoot issues, and resolve technical problems.
- Testing and Validation:
- Test and debug code to identify and resolve any issues.
- Create and validate test data for applications.
- Continuous Improvement:
- Stay updated with the latest industry trends and technologies.
- Contribute to the documentation of application design, development, and maintenance processes.
- Collaboration:
- Work closely with the team to understand application requirements and contribute to solution development.
- Actively participate in team discussions and provide input to solve work-related problems.
Location
Bengaluru, Karnataka, India