Business Development Executive

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. 

Position Summary:

We are seeking a detail-oriented and experienced Quality Control person to join our team, a

designer and manufacturer of high performance elastomeric seals. The primary responsibility of

this role is to ensure the quality of incoming and outgoing materials, as well as inspect in-process

plastic and metal components to maintain the highest product standards.

Key Responsibilities:

1. Incoming and Outgoing Material Inspection:

- Inspect and verify the quality of raw materials, elastomers, plastics, and metal components.

- Compare incoming materials to specifications, purchase orders, and certifications.

- Prepare and maintain detailed records of material inspections and test results.

2. In-Process Inspection:

- Monitor production processes to ensure compliance with quality standards.

- Conduct dimensional and visual inspections of plastic and metal components during

manufacturing.

- Identify and report non-conformities and initiate corrective actions.

3. Final Product Inspection:

- Conduct detailed inspections of finished elastomeric seals and other components before

shipment.

- Verify compliance with customer specifications and regulatory requirements.

4. Documentation and Reporting:

- Maintain detailed inspection records, test reports, and calibration logs.

- Prepare and submit quality reports to the Quality Manager and production team.

5. Collaboration and Continuous Improvement:

- Work closely with production, engineering, and purchasing teams to address quality issues.

- Assist in root cause analysis and corrective action plans for identified defects.

- Participate in continuous improvement initiatives to enhance product quality and process

efficiency.

6. Equipment Maintenance and Calibration:

- Ensure inspection tools and equipment are calibrated and in good working condition.

- Schedule regular maintenance and calibration of measurement devices.

Qualifications and Skills:

- Education: A Bachelor’s degree in Science (preferably Physics) or a B.E Degree (Mechanical /

Industrial) or a related field is preferred.

- Experience: Minimum 1-2 years of experience in quality control, preferably in the elastomeric

seals, plastics industry.

Technical Skills:

- Proficiency in using inspection tools such as calipers, micrometers, CMMs, and gauges.

- Strong understanding of technical drawings, specifications, and GD&T.

- Familiarity with ISO 9001 and other quality management systems.

Soft Skills:

- Strong attention to detail and analytical skills.

- Excellent communication and documentation abilities in English is a must.

- Proficiency in Microsoft Excel, Powerpoint and Word.

- Ability to work independently and as part of a team in a fast-paced environment.

- Knowledge of Lean Six Sigma and 5S is preferred.

Job Title: ServiceNow Analyst – CMDB and Discovery Specialist

Location: Gurgaon, Hybrid

Experience Required: 5+ Years

Job Type: [Full Time]

Job Summary:

We are seeking a highly skilled and experienced ServiceNow Analyst to join our team. The ideal candidate will be proficient in managing the Configuration Management Database (CMDB) within ServiceNow, with a strong background in ServiceNow Discovery and Service Mapping. This role involves identifying and resolving Discovery errors, ensuring the accuracy and integrity of the CMDB, and contributing to the overall efficiency of our IT service management processes.

This position is part of our ServiceNow ITOM (IT Operations Management) efforts, focused on Discovery, Service Mapping, and CMDB operations.

The ServiceNow CMDB and Discovery Administrator will be responsible for helping define, implement and integrate multiple discovery sources to support the configuration management database (CMDB).

Responsibilities:

CMDB Management:

• Maintain and manage the Configuration Management Database (CMDB) within ServiceNow.
• Ensure the accuracy and integrity of CMDB data, implementing best practices and standards.
• Regularly audit and reconcile CMDB data to maintain up-to-date and accurate information.

Discovery and Service Mapping:

• Work with support teams to ensure that the Discovery tool has the appropriate access and permissions to capture configuration information.
• Perform day-to-day administration of the ServiceNow Service Mapping/Discovery tool, including mapping additional defined business services into the tool and updating discovery configurations for deeper network penetration.
• Assist the CMDB Administrator with developing and maintaining the technical design of the ServiceNow CMDB to meet the current and anticipated scope and maintain CMDB integrity to effectively support other ITSM processes such as Incident Mgt., Change Mgt., and Asset Mgt.
• Implement data governance through identification rules and configuration of multiple discovery sources that populate the CMDB.
• Strong hands-on experience in optimizing discovery, tailoring patterns and development.
• Validating discovery results and troubleshooting as required.
• Assist the CMDB Administrator team with designing, deploying, and managing ServiceNow Service Mapping solutions for both on-premise and cloud resources, including schedules, credentials, and mid-servers.
• Define, create, and manage Service Mapping infrastructure, including patterns.
• Work with support teams to identify, investigate, and resolve Service Mapping issues, ensuring that Service Mapping is performing as expected.
• Assist in creating and maintaining Service Mapping-related documentation, aligning with other methods of populating the CMDB.

General/Admin:

• Assist with tasks related to implementing the ServiceNow application.
• Document procedures for the discovery, configuration management functions.
• Assist in developing, modifying, and configuring reports, dashboards, and outputs associated with the change, configuration, discovery, and mapping functions.

Qualifications:

1. Over 5+ years of working experience in ServiceNow
2. 3+ years' experience implementing, administering and optimizing ServiceNow Discovery and additional discovery tools
3. Solid understanding of Configuration Management practices and principles
4. Experience implementing ServiceNow Service Mapping
5. ITIL foundations certification preferred
6. Strong ability to effectively communicate (oral and written) with multiple levels of the organization (internally and externally)
7. Effectively working under accelerated deadlines and working independently to complete objectives
8. Experience working in a team-oriented, collaborative environment with good interpersonal skill
9. Ability to translate business requirements into technical specifications and design
10. Self-starter, positive attitude, and ability to problem-solve under minimal supervision
11. Intelligent, motivated, and competitive with a “roll-up-the-sleeves” and “get the job done” attitude
12. Ability to manage multiple simultaneous tasks within an open and interactive environment

A Real Estate Sales Executive is responsible for handling leads provided by the company and contacting potential customers to schedule property site visits. The role involves explaining property details over calls, coordinating and lining up site visits, and assisting clients during the visit by showing the project location and highlighting key features. The executive will guide customers through the buying process, address their queries, negotiate when required, and work towards closing the deal. Strong communication, client-handling skills, and the ability to convert prospects into successful sales are essential for this role.

• Minimum 4 years’ experience developing Node.js applications on top of RESTful APIs.
• Experience building single page applications using JavaScript frameworks and libraries (React)
• Experience with cross-browser, cross-platform and design constraints on the web.
• Experience with test automation: TDD, unit/integration/functional testing.
• Solid understanding of object-oriented design and programming concepts.
• Have a passion for quality and writing clean, solid, readable code that scales and performs well.
• Proficient in Git and familiarity with continuous integration.
• A team player who values collaboration, innovation, and inclusion
• Comfortable working in an Agile environment
• Strong verbal and written communication skills

• Identify and prospect new business opportunities and generate sales leads

• Contact potential clients and promote the company's products and services

• Build and maintain strong relationships with exhibitors and sponsors

• Conduct market research and keep up-to-date with industry trends and developments

• Develop customized proposals and presentations for potential clients

• Negotiate contracts and close deals with clients

• Meet and exceed sales targets on a regular basis

• Attend industry events and exhibitions to network and build relationships

• Collaborate with other team members to ensure the smooth running of exhibitions

RELEASE MANAGER

Bangalore/Pune

Full Time

We are seeking a collaborative, organized, process and detail oriented Release manager to drive high quality, on-time deployment of quarterly product releases by designing, implementing and executing effective release management processes in a collaboration with global Engineering, Operations, Product Management, services and Technical Support teams.

Responsibilities

•  Managing risks and resolving challenges that impact release scope, quality, and
• schedules
• Planning release windows and cycles across portfolios, components
• Managing relationships working on interrelated processes
• Communicating crucial release plans and changes
• Measuring and monitoring progress to achieve a timely software release within
• defined budgetary limits and defined quality standards
• Producing deployment, implementation, and run books plans
• Conducting release readiness and milestone reviews
• Maintaining release schedules for every core service and ensuring it aligns with major vendors and other stakeholder. Qualifications
• Mid-Senior: 7-12+ years of experience
• Experience as a release manager leading a substantial feature/product in the enterprise
• space
• Curiosity to learn + Extreme ownership + EQ/interpersonal skills
• Enjoys streamlining complex engineering processes and wants to gain mastery ∙
• Excellent written and verbal communication skills
• Excellent analytical skills
• Structured thinking
• Experience in coordinating cross-functional work teams up to task completion.

We have a passion for excellence. We love what we’re doing and have fun doing it. We value great minds, but we’re also humble enough to rally around the best solution, regardless of whose idea it was. We appreciate talent, and we are always on the lookout for the right people to join us. dial for info nine one zero one four double three eight one two.