AI/ML Engineer

3 days ago

Mohali, Punjab, India Ocode Technologies Full time ₹ 8,00,000 - ₹ 24,00,000 per year

*Key Responsibilities:*

  • AI/ML Solution Development: Design, build, and optimize machine learning models and algorithms for various applications, including natural language processing, computer vision, recommendation systems, and predictive analytics.
  • Data Collection and Preprocessing: Collaborate with data engineers to identify, acquire, and preprocess datasets, ensuring high quality and suitability for model training.
  • Model Training and Evaluation: Implement state-of-the-art AI/ML algorithms using frameworks like TensorFlow, PyTorch, or scikit-learn, and conduct rigorous testing and evaluation to measure performance and accuracy.
  • Deployment and Integration: Deploy AI models into production environments and integrate them into existing systems for efficient and reliable execution.
  • Algorithm Optimization: Continuously optimize and improve existing AI/ML models to enhance performance and scalability.
  • Research and Innovation: Stay current with the latest advancements in AI/ML research and technology, applying innovative approaches to address business challenges.
  • Collaborative Teamwork: Work closely with cross-functional teams to understand business requirements, develop technical solutions, and communicate project progress effectively.
  • Documentation: Maintain clear and concise documentation of AI/ML models, algorithms, and codebases to facilitate understanding and future enhancements.
  • Data Privacy and Security: Ensure compliance with data privacy and security protocols, protecting sensitive information.

Requirements:

  • Education: Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field. A Ph.D. in a relevant domain is a plus.
  • Technical Skills: Proficiency in programming languages such as Python, R, or Java, with experience in popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, scikit-learn).
  • Machine Learning Expertise: Strong understanding of various machine learning algorithms, deep learning architectures, and statistical methods. Experience with supervised and unsupervised learning techniques.
  • Data Handling: Knowledge of data preprocessing, feature engineering, and data visualization techniques.
  • Software Development: Familiarity with software development principles, version control, and agile methodologies.
  • Problem-Solving Skills: Ability to analyze complex problems, develop innovative solutions, and troubleshoot issues effectively.
  • Communication: Excellent verbal and written communication skills, capable of conveying technical concepts to both technical and non-technical stakeholders.
  • Team Player: Collaborative mindset with the ability to work well within a team environment.

Job Type:

  • Full-time

Schedule:

  • Day shift

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