DevOps Engineer
1 week ago
About UsAt Bipolar Factory, we turn big ideas into bold tech. We’re a team of builders, designers, and problem-solvers using Ethical AI to make technology more human and accessible. From automating textile and retail workflows to crafting next-gen tools that push industries forward, we help businesses do more with less. Our playground is where innovation meets impact. If you love solving real-world problems and watching your work create visible change, you’ll feel right at home here.Role OverviewWe’re looking or a DevOps Engineer who lives and breathes systems, automation, and efficiency. You’ll bridge data science, engineering, and deployment, ensuring our AI-driven solutions move seamlessly from code to production. This is a hands-on role for someone who thrives in fast-paced environments, enjoys solving complex problems, and wants to build things that work and make a real impact.What You’ll Do• Build, manage, and optimize CI/CD pipelines for AI-driven products.• Collaborate with data scientists to deploy ML models into production.• Automate infrastructure and streamline deployment using scripting tools.• Monitor and improve system performance with observability tools.• Design scalable, secure, and efficient DevOps/MLOps systems that grow with our products.What You’ll Need• 2–5 years of experience in DevOps, MLOps, or systems engineering.• At least 1 year of experience with Google Cloud Platform (GCP).• Strong knowledge of Microsoft Azure (especially Azure ML, Azure DevOps) & Google Cloud Platform (GCP).• Proficiency in Python or scripting languages (Shell, Bash, PowerShell, or Perl).• Solid grasp of CI/CD, containerization (Docker, Kubernetes), and tools like Jenkins, GitHub Actions, or ArgoCD.• Familiarity with monitoring tools (Prometheus, Grafana, Datadog, or New Relic).• Understanding of data pipelines (SQL, NoSQL, ETL).• Exposure to MLOps tools such as Kubeflow, MLflow, or Weights & Biases.Bonus If You Have• Experience with AWS or other cloud environments.• Worked with ML model lifecycles or AIOps tools (PagerDuty, BigPanda, etc.).• Knowledge of model serving frameworks (TensorFlow Serving, TorchServe).• Awareness of security and governance in ML systems.What You’ll Gain• Hands-on experience building real-world AI and automation systems for India’s MSME sector.• Opportunities to experiment with AI, IoT, and VR on live projects.• A culture that values curiosity, learning, and ethical innovation.• The chance to shape how small businesses in India adopt AI — and see your work make tangible impact.This position requires a joining timeline of up to 15 days. While we appreciate that notice periods differ across companies, we’re currently at a stage where immediate support will make a meaningful impact — and we’re excited to bring in someone who’s ready to get started.We’re not looking for someone to just maintain systems — we’re looking for someone who wants to move them forward. If that sounds like you, you’re our kind of engineer. Let’s build the tech that builds India.
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