AI/ML Engineer - OpenCV MindInventory
MindInventory
Office Location
Full Time
Experience: 1 - 1 years required
Pay:
Salary Information not included
Type: Full Time
Location: Ahmedabad
Skills: Opencv, Python, Computer Vision, NumPy, APIs, Machine Learning, Unsupervised Learning, Reinforcement Learning, relational databases, Flask, Django, Cloud Services, aws, Azure, Git, Docker, Kubernetes, Tensorflow, PyTorch, deep learning frameworks, Supervised Learning, Hyperparameter Tuning, Optimization techniques, nonrelational databases, FastAPI, Continuous Learning, Google Cloud, Version Control Systems, AWS Bedrock, SageMaker, Problemsolving
About MindInventory
Job Description
Skills: OpenCV, Python, TensorFlow, PyTorch, Computer Vision, NumPy, Deep Learning Frameworks, Minimum of (1+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, and other deep learning architectures (CNNS, RNNS, GANs, etc.) and familiarity with APIs like OpenAI or vertex AI Design and implement machine learning models, including supervised, unsupervised, and reinforcement learning techniques. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Test and validate AI models to ensure they meet quality standards and fulfill business objectives. Proficiency in Python with the ability to get hands-on with coding at a deep level. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.,