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
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
Key Responsibilities Monitor, identify, and respond to security incidents across systems and networks. Implement and maintain security measures such as firewalls, intrusion detection systems (IDS), and endpoint protection. Conduct regular vulnerability assessments and penetration tests on systems and applications. Collaborate with DevOps and Engineering teams to integrate security best practices into CI/CD pipelines. Manage and review access controls, identity management, and secure configurations. Investigate and remediate security breaches, threats, and anomalies. Stay current with the latest security trends, vulnerabilities, and threat intelligence. Document security processes, policies, incident response plans, and risk assessments. Assist in compliance efforts (e.g., ISO 27001, SOC 2, GDPR) as applicable. Required Skills and Qualifications Bachelor’s degree in Computer Science, Information Security, or related field. Proven experience in system/network/application security. Strong knowledge of cybersecurity frameworks and standards (OWASP, NIST, CIS). Familiarity with tools such as Wireshark, Nessus, Burp Suite, Metasploit, or similar. Hands-on experience with cloud platforms (AWS, Azure, or GCP) and securing cloud infrastructure. Understanding of secure coding practices and code review for security flaws. Scripting knowledge (e.g., Python, Bash, PowerShell) is a plus. Nice to Have Security certifications like CEH, CISSP, OSCP, or CompTIA Security+. Experience in automating security tasks or using SIEM tools. Knowledge of container security (e.g., Docker, Kubernetes). Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹800,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Provident Fund Ability to commute/relocate: Gandhinagar, Gujarat: Reliably commute or planning to relocate before starting work (Required) Experience: Security Engineer: 2 years (Required) Work Location: In person
Key Responsibilities Monitor, identify, and respond to security incidents across systems and networks. Implement and maintain security measures such as firewalls, intrusion detection systems (IDS), and endpoint protection. Conduct regular vulnerability assessments and penetration tests on systems and applications. Collaborate with DevOps and Engineering teams to integrate security best practices into CI/CD pipelines. Manage and review access controls, identity management, and secure configurations. Investigate and remediate security breaches, threats, and anomalies. Stay current with the latest security trends, vulnerabilities, and threat intelligence. Document security processes, policies, incident response plans, and risk assessments. Assist in compliance efforts (e.g., ISO 27001, SOC 2, GDPR) as applicable. Required Skills and Qualifications Bachelor’s degree in Computer Science, Information Security, or related field. Proven experience in system/network/application security. Strong knowledge of cybersecurity frameworks and standards (OWASP, NIST, CIS). Familiarity with tools such as Wireshark, Nessus, Burp Suite, Metasploit, or similar. Hands-on experience with cloud platforms (AWS, Azure, or GCP) and securing cloud infrastructure. Understanding of secure coding practices and code review for security flaws. Scripting knowledge (e.g., Python, Bash, PowerShell) is a plus. Nice to Have Security certifications like CEH, CISSP, OSCP, or CompTIA Security+. Experience in automating security tasks or using SIEM tools. Knowledge of container security (e.g., Docker, Kubernetes). Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹800,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Provident Fund Ability to commute/relocate: Gandhinagar, Gujarat: Reliably commute or planning to relocate before starting work (Required) Experience: Security Engineer: 2 years (Required) Work Location: In person