AI Engineer
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About the Role
Job Summary: AI Specialist
An AI Specialist is responsible for developing, testing, and deploying AI models and algorithms to improve decision-making, automate processes, and enhance products and services. The role requires strong expertise in machine learning, deep learning, data analysis, and AI technologies. The AI Specialist collaborates with cross-functional teams to design solutions that leverage AI to achieve business goals.
Key Responsibilities:
- AI Model Development: Design and implement machine learning models, deep learning architectures, and natural language processing (NLP) systems for specific business needs.
- Data Collection & Analysis: Gather, clean, and preprocess data from diverse sources to ensure high-quality input for AI models.
- Algorithm Selection & Optimization: Choose the right algorithms and methods for various AI tasks (classification, regression, clustering, etc.), and fine-tune them for optimal performance.
- Deployment: Deploy AI models into production environments and work with DevOps to ensure scalability, reliability, and integration with existing systems.
- Continuous Improvement: Monitor the performance of deployed AI models and improve them based on feedback, new data, and evolving business requirements.
- Research & Innovation: Stay up to date with the latest trends, technologies, and research in AI and machine learning and propose innovative solutions to solve problems.
- Collaboration: Work with product managers, software engineers, and data scientists to design AI-driven solutions that align with business goals.
- Documentation & Reporting: Document methodologies, results, and processes and communicate findings to stakeholders in a clear, actionable manner.
Technical Skills:
- Proficiency in programming languages like Python, R, Java, or C++.
- Expertise in AI frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn.
- Strong understanding of machine learning algorithms, deep learning, neural networks, and NLP techniques.
- Familiarity with cloud platforms (AWS, Azure, GCP) and tools for AI deployment.
Experience:
- At least 2 years of hands-on experience in AI/ML roles, including model development, deployment, and optimization.
- Proven track record of implementing AI solutions in real-world applications.
Job Type: Full-time
Pay: ₹200,000.00 - ₹500,000.00 per year
Work Location: In person
Job Type: Full-time
Work Location: In person
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