Devops Engineer

7 days ago


Pune, India Whatjobs IN C2 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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