11+ NIST Jobs in Delhi, NCR and Gurgaon | NIST Job openings in Delhi, NCR and Gurgaon

Dear Candidate,

Greetings from HCL Technologies Ltd.

• Make sense of Cyber security and compliance frameworks that apply to your business or industry
  • Identify business risks, taking into account the role of your hosting service provider
  • Determine which Cyber security controls are required to mitigate your identified risks
  • Improve collaboration and communication during Cyber security Incident mitigation and response.
  • Establish the necessary framework based on NIST Framework to maintain and continually improve your information security program over time based on evolving scope and emerging risks
  • Document and track efforts for evidence collection and audit preparation

• will have primary responsibility for coordinating and implementing effective Cyber Security management across the account. This role will ensure that all Supplier obligations are met regarding compliance with Security guidelines, data protection, regulations, Supplier policies, and key controls.
• provide implementation and ongoing operation of Security management framework;
• be responsible for coordinating activities to address the key Security risk exposures;
• ensure Security awareness training of, and assistance in the implementation of robust Security management practices across Security operations;
• direct the design of controls to address emerging or new Security risk and compliance requirements;
• carry out regular and frequent assurance reviews of the design and operating effectiveness of Security controls;
• implement, monitor and report on key Security risk indicators to identify and address emerging risks;
• coordinate with other Service Providers and Security functions, to facilitate client’s audits and inspections;
• manage and report on responses and actions to address Security audit points, inspection deficiencies, or control weakness identified during normal operations.
• review outcome of cyber security risk assessment, timely implement open action items and report progress to stakeholders
• incorporate vulnerability testing as an integral part of change management
• Should have good knowledge of Cyber Security Framework and controls
• CISA ,CISM or CISSP certification should be preferred.
• Have good understanding of Security policy and process along with ITSM process.

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

Inventory Planning and management, ERP Exp. working in Manufacturing or Trading Company with large SKU

There are various job roles within software development, each with its own focus and responsibilities. Some common job roles include:

1. **Software Engineer/Developer**: This role involves designing, developing, and testing software applications or systems.

2. **Front-end Developer**: Front-end developers focus on creating the user interface and experience of websites or applications using languages like HTML, CSS, and JavaScript.

3. **Back-end Developer**: Back-end developers work on the server-side of applications, managing databases, servers, and application logic using languages like Python, Java, or Node.js.

4. **Full-stack Developer**: Full-stack developers have expertise in both front-end and back-end development, allowing them to work on all aspects of an application.

5. **Mobile App Developer**: Mobile app developers specialize in creating applications for mobile devices, often using platforms like iOS (Swift) or Android (Java/Kotlin).

6. **DevOps Engineer**: DevOps engineers focus on streamlining the development process by automating tasks, managing infrastructure, and ensuring smooth deployment and operation of software.

7. **Quality Assurance (QA) Engineer**: QA engineers are responsible for testing software to ensure it meets quality standards and is free of bugs or errors.

8. **UI/UX Designer**: UI/UX designers work on designing the user interface and experience of software applications, focusing on usability and aesthetics.

Own Android SDKs, working hand-in-hand with the founding team

Design and build delightful user interfaces for native apps on Android

You will be (co-) responsible for our software development kit (SDK) for Android

Building mobile apps in both Swift and Kotlin.

You work independently on your own code, but you also spend time collaborating with others.

You are involved in all stages of app development and contribute to the roadmap.

You get the freedom to experiment with new Android technology.

Ownership — advocate for projects and solutions that need to be launched ground up.

Experience

Min 2 to 4 years in developing Android applications in Java / Kotlin / C++ /Gradle/Groovy.

Worked on SDKs/Frameworks.

Strong understanding of software design patterns as well as Android specifics.

Experience with authenticated sessions using authentication tokens and have at-least

fundamental knowledge of app security.

Good to have:-

Experience with Cross-platform frameworks is a plus (React Native, Flutter, Cordova,

Xamarin).

Have implemented security standards and guides.

Experience building applications at scale.

Experience with third-party libraries and APIs like Mobile Vision, MLKit and/or

Camera API.

Good understanding of garbage collection, design patterns and continuously

discover, evaluate,and implement new technologies to maximize development efficiency.

Unit-test code for robustness, including edge cases, usability, and general

reliability

1. Must Have Teaching Exp. 3 To 8 years till 12th in all subjects.
2. Live Online Class Experience Would Be Preferred.
3. in Script Writing Would Be A Plus.
4. Having Basic Computer Knowledge. Depth Knowledge About Concepts.
5. Can Explain Topics Easily in Simple Manner.
6. Good Communication Skills.