Looking for: Data/ML Engineer Job Type: Contract Location: Remote (India) Work Time: Remote: Time coverage up 12 AM IST Job Description: Required Skills & Experience: • Hands-on code mindset with deep understanding in technologies / skillset and an ability to understand larger picture. • Sound knowledge to understand Architectural Patterns, best practices and Non-Functional Requirements • Overall, 8-10 years of experience in heavy volume data processing, data platform, data lake, big data, data warehouse, or equivalent. • 5+ years of experience with strong proficiency in Python and Spark (must-have). • 3+ years of hands-on experience in ETL workflows using Spark and Python. • 4+ years of experience with large-scale data loads, feature extraction, and data processing pipelines in different modes – near real time, batch, realtime. • Solid understanding of data quality, data accuracy concepts and practices. • 2+ years of solid experience in building and deploying ML models in a production setup. Ability to quickly adapt and take care of data preprocessing, feature engineering, model engineering as needed. • 2+ years of experience working with Python deep learning libraries like any or more than one of these - PyTorch, Tensorflow, Keras or equivalent. • Prior experience working with LLMs, transformers. Must be able to work through all phases of the model development as needed. • Experience integrating with various data stores, including: o SQL/NoSQL databases o In-memory stores like Redis o Data lakes (e.g., Delta Lake) • Experience with Kafka streams, producers & consumers. • Required: Experience with Databricks or similar data lake / data platform. • Required: Java and Spring Boot experience with respect to data processing - near real time, batch based. • Familiarity with notebook-based environments such as Jupyter Notebook. • Adaptability: Must be open to learning new technologies and approaches. • Initiative: Ability to take ownership of tasks, learn independently, and innovate. • With technology landscape changing rapidly, ability and willingness to learn new technologies as needed and produce results on job. Preferred Skills: • Ability to pivot from conventional approaches and develop creative solutions. Show more Show less
Looking for: OpenStack Architect Job Type: Contract/Fulltime Location: Noida, India Description: We are seeking a skilled and experienced OpenStack Architect to design, implement, and optimize OpenStack-based private cloud infrastructure. The ideal candidate will have deep expertise in OpenStack components, cloud architecture best practices, and a strong background in systems engineering or DevOps. You will be responsible for guiding architectural decisions, developing scalable and secure cloud solutions, and collaborating across teams to deliver enterprise-grade cloud services. Key Responsibilities: Design end-to-end OpenStack cloud infrastructure solutions based on business and technical requirements. Define and document architecture, standards, and best practices for deploying and managing OpenStack environments. Lead the deployment, configuration, and lifecycle management of OpenStack components Integrate OpenStack with existing infrastructure (compute, network, storage) and third-party tools. Provide guidance on capacity planning, monitoring, and high-availability strategies. Collaborate with DevOps and engineering teams to automate deployments using tools like Ansible, Terraform, or Heat. Ensure security, compliance, and governance within the OpenStack environment. Conduct performance tuning, troubleshooting, and root cause analysis of infrastructure issues. Stay up to date with OpenStack releases and emerging technologies in the cloud ecosystem. Provide mentorship and technical leadership to junior engineers and support staff. Required Qualifications: Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience). 5+ years of experience in cloud architecture, systems engineering, or related roles. 3+ years of hands-on experience architecting and managing OpenStack environments. Proficiency with OpenStack core components Strong experience with Linux (RHEL/CentOS/Ubuntu) system administration. Familiarity with SDN, storage backends (Ceph, NFS, iSCSI), and virtualization technologies (KVM, QEMU). Experience with automation and Infrastructure-as-Code (IaC) tools like Ansible, Puppet, Terraform, or Heat. Knowledge of container technologies (Docker, Kubernetes) and their integration with OpenStack (e.g., Magnum, Zun) is a plus. Strong understanding of networking concepts, including VLANs, VXLANs, routing, and firewalls. Excellent problem-solving, communication, and documentation skills. Preferred Qualifications: OpenStack Certified (e.g., COA - Certified OpenStack Administrator). Experience with multi-region OpenStack deployments. Familiarity with monitoring tools (Prometheus, Grafana, Nagios). Background in CI/CD and DevOps practices. Experience in hybrid cloud or cloud migration projects.