We are seeking a skilled and experienced DevOps Engineer with expertise in architecting, implementing, and managing hybrid cloud infrastructure to enable seamless deployment and scaling of high-performance applications and machine learning workloads. Proven experience in cloud services, on-premises systems, container orchestration, automation, and multi-database management. Key Responsibilities & Experience : - Designed, implemented, and managed scalable AWS infrastructure leveraging services such as EC2, ECS, Lambda, S3, DynamoDB, Cognito, SageMaker, Amazon ECR, SES, Route 53, VPC Peering, and Site-to-Site VPN to support secure, high-performance, and resilient cloud environments. - Applied best practices in network security, including firewall configuration, IAM policy management. - Architected and maintained large-scale, multi-database systems integrating PostgreSQL, MongoDB, DynamoDB, and Elasticsearch to support millions of records, low-latency search, and real-time analytics. - Built and maintained CI/CD pipelines using GitHub Actions and Jenkins, enabling automated testing, Docker builds, and seamless deployments to production. - Managed containerized deployments using Docker, and orchestrated services using Amazon ECS for scalable and resilient application environments. - Implemented and maintained IaC frameworks using Terraform, AWS CloudFormation, and Ansible to ensure consistent, repeatable, and scalable infrastructure deployments. - Developed Ansible playbooks to automate system provisioning, OS-level configurations, and application deployments across hybrid environments. - Configured Amazon CloudWatch and Zabbix for proactive monitoring, health checks, and custom alerts to maintain system reliability and uptime. - Administered Linux-based servers, applied system hardening techniques, and maintained OS-level and network security best practices. - Managed SSL/TLS certificates, configured DNS records, and integrated email services using Amazon SES and SMTP tools. - Deployed and managed infrastructure for ML workloads using AWS SageMaker, optimizing model training, hosting, and resource utilization for cost-effective performance. Preferred Qualifications : - 3+ years of experience in DevOps, Cloud Infrastructure - Bachelors degree in Computer Science, Engineering - Experience deploying and managing machine learning models - Hands-on experience managing multi-node Elasticsearch clusters and designing scalable, high-performance search infrastructure. - Experience designing and operating hybrid cloud architectures, integrating on-premises and cloud-based systems Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: DevOps: 3 years (Required) Work Location: In person Speak with the employer +91 8360518086
Job Title: AI/ML Engineer Job Summary We are seeking a talented and passionate AI/ML Engineer with at least 3 years of experience to join our growing data science and machine learning team. The ideal candidate will have hands-on experience in building and deploying machine learning models, data preprocessing, and working with real-world datasets. You will collaborate with cross-functional teams to develop intelligent systems that drive business value. Key Responsibilities ● Design, develop, and deploy machine learning models for various business use cases. ● Analyze large and complex datasets to extract meaningful insights. ● Implement data preprocessing, feature engineering, and model evaluation pipelines. ● Work with product and engineering teams to integrate ML models into production environments. ● Conduct research to stay up to date with the latest ML and AI trends and technologies. ● Monitor and improve model performance over time. Required Qualifications ● Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. ● Minimum 3 years of hands-on experience in building and deploying machine learning models. ● Strong proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, and XGBoost. ● Experience with training, fine-tuning, and evaluating ML models in real-world applications. ● Proficiency in Large Language Models (LLMs) – including experience using or fine-tuning models like BERT, GPT, LLaMA, or open-source transformers. ● Experience with model deployment, serving ML models via REST APIs or microservices using frameworks like FastAPI, Flask, or TorchServe. ● Familiarity with model lifecycle management tools such as MLflow, Weights & Biases, or Kubeflow. ● Understanding of cloud-based ML infrastructure (AWS SageMaker, Google Vertex AI, Azure ML, etc.). ● Ability to work with large-scale datasets, perform feature engineering, and optimize model performance. ● Strong communication skills and the ability to work collaboratively in cross-functional teams. Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹1,500,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Experience: Ai/ML: 2 years (Preferred) Work Location: In person