Job Description
Roles and responsibilities:
• Design and develop machine learning pipelines for various tasks, including classification, regression, and natural language processing (NLP)
• Implement and experiment with different machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, deep learning)
• Pre-process and clean large datasets for model training and evaluation
• Train, evaluate, and optimize machine learning models using frameworks like TensorFlow, PyTorch, scikit-learn, and LangChain
• Integrate machine learning models into production systems and monitor their performance
• Design and develop machine learning pipelines for computer vision tasks, including object detection, image classification, and image segmentation
• Implement and experiment with different machine learning algorithms and techniques specific to computer vision, such as convolutional neural networks (CNNs)
• Collaborate effectively with data scientists, software engineers, and other stakeholders to ensure the successful development and deployment of machine learning solutions, particularly focusing on computer vision and LLM applications
• Communicate complex technical concepts to non-technical audiences
• Experience with cloud platforms (e.g., AWS, GCP, Azure) for deploying machine learning models
• Utilize database knowledge to efficiently store, retrieve, and manage large datasets used for training and evaluating machine learning models
• Design and develop machine learning pipelines for various tasks, including classification, regression, and natural language processing (NLP)
• Implement and experiment with different machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, deep learning)
• Pre-process and clean large datasets for model training and evaluation
• Train, evaluate, and optimize machine learning models using frameworks like TensorFlow, PyTorch, scikit-learn, and LangChain
• Integrate machine learning models into production systems and monitor their performance
• Design and develop machine learning pipelines for computer vision tasks, including object detection, image classification, and image segmentation
• Implement and experiment with different machine learning algorithms and techniques specific to computer vision, such as convolutional neural networks (CNNs)
• Collaborate effectively with data scientists, software engineers, and other stakeholders to ensure the successful development and deployment of machine learning solutions, particularly focusing on computer vision and LLM applications
• Communicate complex technical concepts to non-technical audiences
• Experience with cloud platforms (e.g., AWS, GCP, Azure) for deploying machine learning models
• Utilize database knowledge to efficiently store, retrieve, and manage large datasets used for training and evaluating machine learning models
💡 Quick Summary
Seeking a career-building opportunity? The Sr| AI Engineer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Ahmedabad offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
