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Vapi | Expertini

Urgent! DevOps Engineer Job | Bipolar Factory

DevOps Engineer



Job description

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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