AI/ML Engineer

2 weeks ago

Ahmedabad, Gujarat, India Mindinventory Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Description

Greetings from MindInventory

MindInventory has been dealing with Enterprises, Startups and Agencies since 2011 providing the services in terms of Enterprise Web Development, Startup Consulting, Mobility Solutions, and UI/UX Consulting. MindInventory carries a combined experience of 1000+ years with the team size of 200+ Employees that are working from our HeadQuarters based out of Ahmedabad, India.

We provide web and mobile app development services to business enterprises with the right tactical approach to reach target audiences. We also help the Early-stage startups and small businesses with customized strategic solutions and prepare a road ahead to convert their ideas into ideal solutions. 

More info on : 

Skills - OpenCV, Python, TensorFlow, PyTorch, Computer Vision, NumPy, Deep Learning Frameworks & Excellent communication skill

  • 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 fulfil 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 development 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.

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