Key Responsibilities Design, develop, and deploy machine learning and deep learning models for real-world applications Optimize and fine-tune AI models for performance, scalability, and efficiency Work with large datasets, including data preprocessing, feature engineering, and model training Implement NLP, computer vision, reinforcement learning, or generative AI solutions based on business needs Collaborate with data engineers to build scalable ML pipelines and integrate AI models into production systems Stay updated with the latest advancements in AI/ML research and apply them to solve business challenges Conduct A/B testing, model validation, and performance monitoring to ensure robustness Work with cloud platforms (AWS, GCP, Azure) and AI/ML tools (TensorFlow, PyTorch, Hugging Face, LangChain, etc.) Mentor junior engineers and contribute to technical decision-making Skills & Requirements Must Have Skills Python programming and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) Deep learning architectures (CNNs, RNNs, Transformers, GANs) Generative AI (Diffusion models, LLM fine-tuning, RAG) NLP (BERT, GPT, LLMs) or Computer Vision (OpenCV, YOLO) Good To Have Skills Reinforcement learning or autonomous systems Edge AI or embedded ML deployments Big data technologies (Spark, Hadoop, SQL/NoSQL databases) CI/CD pipelines and version control (Git) MLOps tools (MLflow, Kubeflow, Docker, Kubernetes) Cloud-based AI services (AWS SageMaker, GCP Vertex AI, Azure ML) Soft Skills Problem-solving skills Ability to translate business needs into AI solutions Mentorship capabilities Job application: https://app.fabrichq.ai/jobs/f29e2342-c5c2-488a-93ca-bd0bbb62d369

Galaxy Automation is hiring for 20+ BDMs across sales roles in our Sales org. Some of the open roles are - 1. Business Development Manager - Cloud 2. Business Development Manager - Cyber Security 3. Business Development Manager - Modern Applications 4. Business Development Manager - AI 5. Business Development Manager - Client Solutions Preferred candidate profile - 3 to 7 years of experience - Mandatory experience in selling IT services - Great at communication and generating top of the funnel

Job Application Link: https://app.fabrichq.ai/jobs/0864c16e-14af-406e-b640-095657627507 Job Summary: The Commvault L2 Backup Engineer role involves providing advanced operational support, troubleshooting, and administration of enterprise backup environments using Commvault solutions. The position requires resolving escalated issues, maintaining backup infrastructure, and ensuring data protection and recovery processes meet organizational requirements. The ideal candidate will have strong technical expertise in Commvault and enterprise backup systems. Job Location: Navi Mumbai Role & responsibilities Operate, maintain, and optimize enterprise backup environments using Commvault Troubleshoot and resolve L2-level incidents, including backup failures, restore issues, and infrastructure errors Analyze daily backup jobs, identify root causes for failures, and implement corrective actions Perform configuration changes, patching, and upgrades for Commvault environments Collaborate with cross-functional teams to resolve complex issues and support integrated backup solutions Provide escalation support for L1 engineers and act as a technical point of contact Ensure backup and restore operations align with data protection and disaster recovery strategies Maintain and update documentation for backup procedures, configurations, and incident resolutions Participate in capacity planning, utilization analysis, and optimization of backup storage resources Support integration of various storage technologies with Commvault backup systems Prepare and deliver regular status and progress reports on backup environment health Must Have Skills: Experience with Commvault deployment, backup administration, and support Experience with troubleshooting enterprise backup systems Backup infrastructure management Capacity planning and optimization

Job Application Link: https://app.fabrichq.ai/jobs/f29e2342-c5c2-488a-93ca-bd0bbb62d369 Job Summary: Experienced AI Engineer with expertise in machine learning, deep learning, and AI model development. Responsible for designing, implementing, and deploying AI/ML solutions in production environments. Will collaborate with cross-functional teams to develop cutting-edge AI systems that drive business value. Key Responsibilities Design, develop, and deploy machine learning and deep learning models for real-world applications Optimize and fine-tune AI models for performance, scalability, and efficiency Work with large datasets, including data preprocessing, feature engineering, and model training Implement NLP, computer vision, reinforcement learning, or generative AI solutions based on business needs Collaborate with data engineers to build scalable ML pipelines and integrate AI models into production systems Stay updated with the latest advancements in AI/ML research and apply them to solve business challenges Conduct A/B testing, model validation, and performance monitoring to ensure robustness Work with cloud platforms (AWS, GCP, Azure) and AI/ML tools (TensorFlow, PyTorch, Hugging Face, LangChain, etc.) Mentor junior engineers and contribute to technical decision-making Skills & Requirements Must Have Skills Python programming and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) Deep learning architectures (CNNs or RNNs or Transformers or GANs) Generative AI (Diffusion models, LLM fine-tuning, RAG) NLP (BERT, GPT, LLMs) 3+ years of experience