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AI / ML Engineer
CoRover
posted 3mon ago
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Flexible timing
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Job Description
AI/ML Engineer The world s first Human-Centric Conversational AI Platform AI/ML Engineer September 13, 2024
As an AI/ML Engineer at CoRover, you will play a crucial role in designing, developing, and deploying advanced machine learning models and AI systems. You will collaborate with cross-functional teams to drive the development of innovative solutions and ensure our technology remains at the cutting edge.
Key Responsibilities
- Model Development Create, train, and fine-tune machine learning models and algorithms to address complex challenges and improve our products and services.
- Data Handling Collect, preprocess, and analyze large datasets to extract meaningful insights and optimize model performance.
- Innovation Stay abreast of the latest AI/ML research and trends, applying new techniques and methodologies to enhance our solutions.
- Collaboration Work closely with data scientists, software engineers, and product managers to integrate AI/ML models into our systems and ensure seamless implementation.
- Deployment Deploy and maintain machine learning models in production environments, ensuring their scalability, reliability, and efficiency.
- Troubleshooting Identify and resolve issues related to AI/ML models and performance, continually seeking improvements.
- Documentation Develop comprehensive documentation for models, processes, and methodologies to facilitate knowledge sharing and project continuity.
Qualifications
- Education Bachelor s or Master s degree in Computer Science, Data Science, Mathematics, or a related field.
- Experience 0-2 years of experience in AI/ML engineering or a related role, with a proven track record of successful projects involving machine learning and artificial intelligence.
- Technical Skills
- Proficiency in programming languages such as Python, R, or Java.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of data analysis, statistical methods, and feature engineering.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for model deployment and management.
- Knowledge of version control systems (e.g., Git) and collaboration tools (e.g., JIRA).
- Soft Skills
- Excellent problem-solving abilities and the capability to work independently as well as part of a team.
- Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
Preferred Qualifications
- Experience with deep learning, natural language processing, or computer vision.
- Knowledge of Agile methodologies and software engineering best practices.
- Contributions to open-source projects or publications in AI/ML research.
Job Type Full Time
Job Location Bangalore
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Case Study Download Form Reason (Why you need this Case Study) * If you are human, leave this field blank. Employment Type: Full Time, Permanent
Functional Areas: Analytics & Business Intelligence
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