Artificial Intelligence and Machine Learning Professional

3 days ago

Delhi, Delhi, India beBeeMachine Full time ₹ 15,00,000 - ₹ 20,00,000

**Artificial Intelligence and Machine Learning Engineer**

We are seeking a talented and innovative engineer to work with cutting-edge AI and machine learning technologies.

  • Analysis & Data Preparation: Conduct in-depth analysis of business problems to identify opportunities. Perform data collection, cleansing, feature engineering, and preprocessing of large datasets to prepare them for model training.
  • Model Development & Training: Design, develop, train, and evaluate various machine learning models using relevant algorithms and frameworks.
  • Implementation & Deployment: Implement AI/ML algorithms and integrate trained models into production systems and applications.
  • Troubleshooting & Optimization: Monitor the performance of deployed AI/ML models, troubleshoot issues, and continuously optimize models for accuracy, efficiency, and resource utilization.
  • Research & Innovation: Stay abreast of the latest advancements, research papers, and industry trends in Artificial Intelligence and Machine Learning.
  • Collaboration: Work closely with data scientists, software engineers, product managers, and other stakeholders to understand requirements, define project scope, and deliver impactful AI-driven solutions.
  • Documentation: Create clear and comprehensive documentation for AI models, development processes, and deployment strategies.
Technical Proficiency:

Strong programming skills in languages commonly used in AI/ML (e.g., Python, R, Java). Proficiency with key machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Keras). Solid understanding of machine learning algorithms, statistical modeling, and data structures. Experience with data manipulation and analysis tools (e.g., Pandas, NumPy). Familiarity with database concepts and querying (SQL/NoSQL).

Experience:

Cloud-based AI/ML services and platforms experience is a significant advantage. Understanding of MLOps principles, including model versioning, deployment, monitoring, and retraining strategies.

Requirements:

Exceptional analytical and problem-solving skills with the ability to break down complex problems and devise effective AI/ML solutions. Strong verbal and written communication skills to articulate complex technical concepts to both technical and non-technical audiences.

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