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MLops Engineer Job Opening In Bikaner – Now Hiring Recro


Job description

Role Overview

We are looking for an experienced MLOps Lead with deep expertise in Azure and AWS cloud ecosystems, who can design, deploy, and manage scalable AI/ML infrastructure.

The ideal candidate should bring a strong background in cloud governance, GenAI tooling, automation, and CI/CD pipelines, with hands-on experience across modern MLOps frameworks.

Key Responsibilities

  • Design, implement, and manage scalable cloud-based AI/ML infrastructure across Azure and AWS.
  • Drive end-to-end MLOps lifecycle — model deployment, monitoring, retraining, and governance.
  • Enable GenAI and Agentic AI platforms leveraging Azure OpenAI, Bedrock, Anthropic Claude, LangChain, etc.
  • Implement CI/CD pipelines using Azure DevOps or AWS CodePipeline.
  • Ensure security, observability, and compliance across ML and GenAI ecosystems.
  • Manage infrastructure automation via Terraform, Bicep, CloudFormation, or similar IaC tools.
  • Collaborate with data science and engineering teams to optimize ML workflows, data pipelines, and API integrations.
  • Implement monitoring and alerting using Grafana, Prometheus, Azure Monitor, and Application Insights.
  • Oversee networking, identity management, and role-based access controls (IAM, RBAC) across clouds.
  • Support model lifecycle management — drift monitoring, retraining, technical evaluation, and business validation.

Technical Skills & Expertise

Cloud & MLOps Platforms

  • Azure: Azure ML, Azure AI Services, Azure OpenAI, Azure Kubernetes Service (AKS), Databricks, Azure Search, Azure Blob, Cosmos DB, Azure SQL, Azure Functions, Azure Event Hub, Azure Resource Manager (ARM), Bicep.
  • AWS: SageMaker, Bedrock, Lambda, DynamoDB, S3, RDS, Redshift, ECR, CloudFormation, CDK, KMS, EventBridge, Step Functions.

AI/ML & Programming

  • Hands-on in Python, with exposure to TensorFlow, PyTorch, scikit-learn.
  • Understanding of LLM tokenization, prompt injection risks, jailbreak prevention, and AI safety techniques.
  • Familiarity with LangChain, LlamaCloud, AI Foundry, and related frameworks.
  • Experience in model monitoring, retraining, and evaluation workflows.

DevOps & Infrastructure

  • Expertise in CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure automation.
  • Strong in governance, audit logging, security policies (Azure Policy, AWS SCP, IAM).
  • Deep understanding of networking, DNS, load balancers, VNets/VPCs, VPNs.
  • Skilled in IaC tools – Terraform, Bicep, ARM, CloudFormation.

Monitoring & Observability

  • Experience with Grafana, Prometheus, Application Insights, Log Analytics Workspaces, Azure Monitor.

Security & Access Management

  • Understanding of Microsoft AD, least privilege principles, IAM, RBAC.

Testing & Automation

  • Familiarity with unit testing and integration testing in CI/CD workflows (preferably Azure DevOps).

Good to Have

  • Experience with Azure Bot Framework, M365 Copilot, and APIM.
  • Exposure to code assistants such as GitHub Copilot, Cursor, Claude Code.
  • Knowledge of Boto3 SDK (AWS Python) and TypeScript for IaC.

Preferred Background

  • Strong background in cloud infrastructure engineering and machine learning operations.
  • Proven ability to lead cross-functional teams and implement AI governance at scale.
  • Excellent problem-solving, communication, and documentation skills.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your MLops Engineer Potential: Insight & Career Growth Guide


Real-time MLops Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for MLops Engineer in Bikaner, India, highlighting market share and opportunities for professionals in MLops Engineer roles.

590663 Jobs in India
590663
3890 Jobs in Bikaner
3890
Download Mlops Engineer Jobs Trends in Bikaner and India

Are You Looking for MLops Engineer Job?

Great news! is currently hiring and seeking a MLops Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Recro adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for MLops Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bikaner. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for MLops Engineer?

Key qualifications for MLops Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for MLops Engineer?

To improve your chances of getting hired for MLops Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for MLops Engineer Job Success

Recro interview tips for MLops Engineer

Here are some tips to help you prepare for and ace your MLops Engineer job interview:

Before the Interview:

Research: Learn about the Recro's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your MLops Engineer interview at Recro, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Recro's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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