• Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role.
India Jobs Expertini

Lead Machine Learning Operations Engineer Job Opening In India, India – Now Hiring Recro


Job description

5+ years of experience in platform engineering, with a proven track record of designing, deploying, and managing scalable and secure cloud-based infrastructures, leveraging both Azure and AWS services.

Experience with Azure services such as Azure AI services, Azure Search, Azure ML, Databricks, Azure Kubernetes Service, and AWS services like AWS SageMaker, AWS Bedrock and AWS Lambda.

Exposure to Generative AI and Agentic AI ecosystems such as Azure OpenAI, Azure AI Foundry, Azure AI Hub, Bedrock, Anthropic Claude, OpenAI API, LlamaCloud, LangChain.

Understanding of token usage, LLM prompt injection risks, Jailbreak attempts and mitigation techniques.

Strong knowledge of governance, audit, observability, and compliance in cloud- based GenAI and ML ecosystems.

Should understand Azure AI Evaluation SDK and AI Red Teaming Prompt Security Scans

Good to have experience with code assistant tools like Github Copilot, Cursor and Claude Code

Expertise in Azure DevOps or AWS CodePipeline, including setting up and managing CI/CD pipelines.

Advanced experience with Azure Blob Storage, Cosmos DB, SQL, Key Vault,, AWS S3, DynamoDB, and AWS RDS etc and their integrations with AI services

Advanced understanding of networking concepts, including DNS management, load balancing, VPNs, and virtual networks (VNets).

Advanced understanding of security concepts, including IAM roles, identities, Azure policies, AWS SCPs.

Experience in Advanced Authentication and Authorization Concepts across various cloud providers and platforms

Must have experience with Azure Policy, AWS SCP, AWS IAM, audit logging, Azure RBAC etc.

Mastery of infrastructure-as-code tools such as Azure ARM / Bicep, Terraform, CloudFormation, or equivalent.

Proficiency in networking, DNS, load balancers, and cloud engineering services.

Knowledge in Python programming and AI/ML libraries (TensorFlow, PyTorch, Sci-Kit learn, Bash & PowerShell etc.).

Experience with containerization and orchestration tools such as Docker and Kubernetes.

Good to have knowledge about Azure Bot framework, APIM, Application Gateway.

Also, knowledge about M365 offerings like M365 Copilot.

AWS CDK, AWS Python(Boto3) SDK.

Experience with monitoring tools like Grafana, Prometheus, Application Insights,

Log Analytics Workspaces, and Azure Monitor

Understanding of common database technologies for both OLTP and OLAP applications

Azure Services knowledge (Azure machine learning)

o Experience in ML tooling Knowledge of Azure Machine Learning studio, Python SDK (v2),CLI (v2)) to monitor, retrain, and redeploy models.

o Exposure to Azure Machine Learning model as Architect or model built from an open-source platform, such as Pytorch, TensorFlow, or scikit- learn.

o Practical knowledge of how to build efficient end-to-end ML workflows

o Understanding of machine learning & deep learning concepts and algorithms, various statistical techniques, and experimentation analysis workflows

o Enable production models across the ML lifecycle

o Implement CI/CD orchestration for data science pipelines

o Understanding the production deployments and post-deployment model lifecycle management activities: drift monitoring, model retraining, and model technical evaluation business validation

o Work with stakeholders to assist with ML pipeline -related technical issues and support modelling infrastructure needs.

Security and Access

o Familiarity with Microsoft AD

o Understanding of principle of least privilege and its application to projects

(RBAC)

Testing

o Understand and apply unit testing in day-to-day development work

o Applied knowledge of integration testing as part of CI/CD process (ideally on ADO)

Infrastructure as Code

o Understand the key concepts of IaC and some practical experience of application

o Write code in languages such as Python or TypeScript to define cloud infrastructure as code

Specific to AWS:

o AWS database services (such as RDS, DynamoDB, Redshift, Aurora)

o AWS compute services and storage (such as EC2 – including scaling, EBS, EFS)

o AWS serverless technology (including Lambda, SQS, SNS, EventBridge and Step functions)

o AWS KMS

o AWS container services (including ECR)

o AWS CloudFormation and the CDK

Specific to AWS:

o Azure database services (including Cosmos DB, Azure SQL Serverless)

o Azure compute services (VM, VM Scale Sets)

o Azure serverless technology (i.E. Functions, Event Grid/Hub, Queue Storage, Service Bus)

o Azure container services (including ACR / AKS)

o Azure Resource Manager (ARM) / BICEP

o Azure Key Vault

o Azure Machine Learning

o Azure Data Lake Storage

Required Skill Profession

Computer Occupations


  • Job Details

Related Jobs

Asper.ai hiring Machine Learning Operations Lead Job in Bengaluru, Karnataka, India
Asper.ai
Bengaluru, Karnataka, India
Meril hiring Machine Learning Operations Engineer Job in Vapi, Gujarat, India
Meril
Vapi, Gujarat, India
GTT Data Solutions Ltd hiring Machine Learning Operations Engineer Job in Bengaluru, Karnataka, India
GTT Data Solutions Ltd
Bengaluru, Karnataka, India
Persistent Systems hiring Machine Learning Operations Engineer Job in India
Persistent Systems
India
Aurigo Software Technologies hiring Machine Learning Operations Engineer Job in Bengaluru, Karnataka, India
Aurigo Software Technologies
Bengaluru, Karnataka, India
Autodesk hiring Machine Learning Operations Engineer Job in Bengaluru, , India
Autodesk
Bengaluru, , India
Autodesk hiring Machine Learning Operations Engineer Job in Bengaluru, Karnataka, India
Autodesk
Bengaluru, Karnataka, India
NextGen Healthcare hiring Machine Learning Operations Engineer Job in Bengaluru, Karnataka, India
NextGen Healthcare
Bengaluru, Karnataka, India
C5i hiring Machine Learning Operations Engineer Job in Bengaluru, Karnataka, India
C5i
Bengaluru, Karnataka, India
ValueMomentum hiring Machine Learning Operations Engineer Job in Hyderabad, Telangana, India
ValueMomentum
Hyderabad, Telangana, India
INSPYR Solutions hiring Machine Learning Operations Engineer Job in Hyderabad, Telangana, India
INSPYR Solutions
Hyderabad, Telangana, India
L&T Technology Services hiring Machine Learning Operations Engineer Job in India
L&T Technology Services
India
Wenger & Watson hiring Machine Learning Operations Engineer Job in Bengaluru, Karnataka, India
Wenger & Watson
Bengaluru, Karnataka, India
Ensono hiring Machine Learning Operations Job in Pune, India, India
Ensono
Pune, India, India
7-Eleven Global Solution Center – India hiring Lead Machine Learning Engineer Job in Bengaluru, Karnataka, India
7-Eleven Global Solution Center – India
Bengaluru, Karnataka, India
Turiyam AI hiring Lead Machine Learning Engineer Job in Bengaluru, Karnataka, India
Turiyam AI
Bengaluru, Karnataka, India
RateGain hiring Lead Machine Learning Engineer Job in Industrial Area, Uttar Pradesh, India
RateGain
Industrial Area, Uttar Pradesh, India
Tata Consultancy Services hiring Lead Machine Learning Engineer Job in Bengaluru, Karnataka, India
Tata Consultancy Services
Bengaluru, Karnataka, India
Asper.ai hiring Lead Machine Learning Engineer Job in Bengaluru, Karnataka, India
Asper.ai
Bengaluru, Karnataka, India
7-Eleven Global Solution Center – India hiring Lead Machine Learning Engineer Job in Bengaluru, Karnataka, India
7-Eleven Global Solution Center – India
Bengaluru, Karnataka, India
Tekion hiring Lead Machine Learning Engineer Job in Bengaluru, Karnataka, India
Tekion
Bengaluru, Karnataka, India
Netradyne hiring Lead Machine Learning Engineer Job in Bengaluru, Karnataka, India
Netradyne
Bengaluru, Karnataka, India
VARITE INC hiring Lead Machine Learning Engineer Job in Bengaluru, Karnataka, India
VARITE INC
Bengaluru, Karnataka, India
S&P Global hiring Lead Machine Learning Engineer Job in Hyderabad, Telangana, India
S&P Global
Hyderabad, Telangana, India
Track3D hiring Lead Machine Learning Engineer Job in Hyderabad, Telangana, India
Track3D
Hyderabad, Telangana, India
Saarthee hiring Lead Machine Learning Engineer Job in Bengaluru, Karnataka, India
Saarthee
Bengaluru, Karnataka, India

Unlock Your Lead Machine Potential: Insight & Career Growth Guide


Real-time Lead Machine 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 Lead Machine in India, India, highlighting market share and opportunities for professionals in Lead Machine roles.

190267 Jobs in India
190267
17253 Jobs in India
17253
Download Lead Machine Jobs Trends in India and India

Are You Looking for Lead Machine Learning Operations Engineer Job?

Great news! is currently hiring and seeking a Lead Machine Learning Operations 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 Lead Machine Learning Operations Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in India. 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 Lead Machine Learning Operations Engineer?

Key qualifications for Lead Machine Learning Operations 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 Lead Machine Learning Operations Engineer?

To improve your chances of getting hired for Lead Machine Learning Operations 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 Lead Machine Learning Operations Engineer Job Success

Recro interview tips for Lead Machine Learning Operations Engineer

Here are some tips to help you prepare for and ace your Lead Machine Learning Operations 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 Lead Machine Learning Operations 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!

How to Set Up Job Alerts for Lead Machine Learning Operations Engineer Positions

Setting up job alerts for Lead Machine Learning Operations Engineer is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!