Skills
Required
devops
technology
ai
ml
engineering
development
deployment
monitoring
learning
design
microservices
model
training
versioning
automate
terraform
aws
azure
gcp
tracking
mlflow
data
kubernetes
compliance
security
reliability
optimization
docker
jenkins
github
gitlab
sagemaker
scripting
python
linux
code
ansible
helm
stack
solver
collaborative
agile
Job
Description
🔧 Job Opening: MLOps & DevOps Engineer 📍 Location : Pune, India | 🧠 Experience : 3–5 Years 🕒 Immediate Joiners Preferred Company : Asmadiya Technologies Pvt. Ltd. About Us: Asmadiya Technologies is a dynamic technology company delivering innovative solutions in AI/ML , Cloud Computing , and Digital Transformation . We are seeking an experienced MLOps & DevOps Engineer to join our engineering team and lead the development, deployment, and monitoring of machine learning systems in production. ✅ Key Responsibilities: Design and implement CI/CD pipelines for ML models and microservices Manage end-to-end MLOps workflows – from model training, versioning, deployment, to monitoring Automate infrastructure using Terraform, CloudFormation , or similar tools Integrate ML workflows with cloud platforms like AWS, Azure, or GCP Implement model registry , artifact tracking, and monitoring (e.g., MLflow, Weights & Biases) Collaborate with Data Scientists, ML Engineers, and DevOps teams to ensure scalable and reliable deployments Set up and maintain Kubernetes (EKS/AKS/GKE) clusters and orchestrate model serving Ensure compliance, security, and reliability of deployed systems Proactively identify performance bottlenecks and implement optimization 🧩 Required Skills & Experience: 3–5 years of experience in DevOps and MLOps environments Strong expertise in Docker, Kubernetes, Jenkins/GitHub Actions/GitLab CI Hands-on experience with ML lifecycle tools : MLflow, Kubeflow, SageMaker, or similar Proficient in scripting with Python , Bash , and using Linux-based systems Experience with infrastructure-as-code (Terraform, Ansible, Helm) Working knowledge of cloud platforms (AWS preferred) and model deployment at scale Familiar with observability tools like Prometheus, Grafana, or ELK stack 🌟 What We’re Looking For: A problem-solver who can bridge the gap between data science and operations A hands-on contributor who can own deployments end-to-end A collaborative team player who thrives in fast-paced, agile environments Passionate about building production-ready ML systems 📬 Apply Now: Looking to lead the charge in deploying intelligent systems at scale? Join Asmadiya Technologies as we build the future of AI. 📩 Send your resume to careers@asmadiya.com with subject: MLOps & DevOps Engineer – Pune Show more Show less
