DevOps Engineer

7 days ago

India Bipolar Factory Full time

About Us At  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 Overview We’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 • 2–8 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.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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