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2 Job openings at Trusted Communities Organization Pvt Ltd
About Trusted Communities Organization Pvt Ltd
AI Developer

Gāndhīnagar

4 - 5 years

INR 12.0 - 20.0 Lacs P.A.

On-site

Full Time

Key Responsibilities: Design, develop, and deploy AI models and algorithms to solve business problems. Work with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Train, test, and validate models using large datasets. Integrate AI solutions into existing products and applications. Collaborate with data scientists, software engineers, and product teams to build scalable AI solutions. Monitor model performance and continuously improve accuracy and efficiency. Stay updated with the latest AI trends, tools, and best practices. Ensure AI models are ethical, unbiased, and secure. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 4 to 5 Years of Proven experience in developing and deploying AI/ML solutions. Proficiency in Python and libraries like NumPy, Pandas, OpenCV, etc. Solid understanding of machine learning, deep learning, and NLP techniques. Experience with cloud platforms (AWS, Azure, or Google Cloud) is a plus. Strong problem-solving skills and ability to translate business needs into technical solutions. Excellent communication and collaboration skills. Preferred Qualifications: Experience with data preprocessing, feature engineering, and model tuning. Familiarity with reinforcement learning or generative AI models. Knowledge of MLOps tools and pipelines (e.g., MLflow, Kubeflow). Hands-on experience in deploying AI applications to production environments. Job Types: Full-time, Permanent Pay: ₹1,200,000.00 - ₹2,000,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Provident Fund Location Type: In-person Schedule: Day shift Fixed shift Monday to Friday Ability to commute/relocate: Gandhinagar, Gujarat: Reliably commute or planning to relocate before starting work (Required) Experience: Android Development: 3 years (Required) Work Location: In person

AI Developer

Gandhinagar, Gujarat

0 - 3 years

INR Not disclosed

On-site

Full Time

Key Responsibilities: Design, develop, and deploy AI models and algorithms to solve business problems. Work with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Train, test, and validate models using large datasets. Integrate AI solutions into existing products and applications. Collaborate with data scientists, software engineers, and product teams to build scalable AI solutions. Monitor model performance and continuously improve accuracy and efficiency. Stay updated with the latest AI trends, tools, and best practices. Ensure AI models are ethical, unbiased, and secure. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 4 to 5 Years of Proven experience in developing and deploying AI/ML solutions. Proficiency in Python and libraries like NumPy, Pandas, OpenCV, etc. Solid understanding of machine learning, deep learning, and NLP techniques. Experience with cloud platforms (AWS, Azure, or Google Cloud) is a plus. Strong problem-solving skills and ability to translate business needs into technical solutions. Excellent communication and collaboration skills. Preferred Qualifications: Experience with data preprocessing, feature engineering, and model tuning. Familiarity with reinforcement learning or generative AI models. Knowledge of MLOps tools and pipelines (e.g., MLflow, Kubeflow). Hands-on experience in deploying AI applications to production environments. Job Types: Full-time, Permanent Pay: ₹1,200,000.00 - ₹2,000,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Provident Fund Location Type: In-person Schedule: Day shift Fixed shift Monday to Friday Ability to commute/relocate: Gandhinagar, Gujarat: Reliably commute or planning to relocate before starting work (Required) Experience: Android Development: 3 years (Required) Work Location: In person

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