MLOps Engineer

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.