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

CFD Engineer

Fluent in Meshing

Must knowledge of soild works

Ansys is must and fluent

• Creating computer models of products and processes to test design concepts and simulate performance before they are built or used
• Using computer programs such as MathCAD, MATLAB, and ANSYS to build models that simulate real-life events and conditions
• Developing and implementing mathematical models to solve complex engineering problems
• Conducting research on new technologies and techniques to improve existing designs

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. 

About MyOperator

MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & voice bots into one intelligent business communication platform.Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement

Role Summary

We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.

This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.

Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.

Responsibilities

Requirement Discovery & Stakeholder Interaction

• Join customer calls alongside Sales and Revenue teams.
• Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
• Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
• Act as the AI subject-matter expert during client discussions.

Use Case & Solution Documentation

• Convert discussions into clear, structured use case documents, including:
• Problem statement & goals.
• Current vs. proposed conversational flows.
• Chatbot conversation logic, integrations, and dependencies.
• Assumptions, limitations, and success criteria.

Customer Delivery Ownership

Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.

Prompt Engineering & Conversation Design

Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."

Testing, Debugging & Iteration

Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.

Integrations & Technical Coordination

Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.

What Success Looks Like

• Customer bots go live quickly and show high containment + high task completion with low escalation.
• You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
• Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.

Requirements (Must Have)

• 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
• Willingness to be front deployed (customer calls/visits as needed).

Good to Have (Nice to Have)

• Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects. 
• Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
• Prior SaaS onboarding/delivery experience in mid-market or enterprises.
• 
  

Working Style & Traits We Value

• High agency: you don’t wait for perfect specs—you create clarity and ship.
• Customer empathy + engineering discipline.
• Strong bias for iteration: deploy → learn → improve.
• Calm under ambiguity (real customer environments are chaotic by default).

About MyOperator:

MyOperator is a Business AI Operator, a category-leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform. Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount.

Role Overview:

We are seeking a Manager – Customer Success to lead and oversee the entire Customer Success department for our SMBG clients. This role involves managing a team of 3–4 Team Leaders, who in turn manage a large pool of Customer Success Executives. You will be responsible for driving end-to-end customer journey – from onboarding to product adoption, engagement, and retention – while building scalable processes suitable for a high-volume customer base.

Key Responsibilities

• Lead and mentor 3–4 Team Leaders and indirectly oversee a team of 30+ Customer Success Executives.
• Drive customer onboarding, adoption, retention, and satisfaction across SMBG clients.
• Develop and implement customer success strategies and playbooks tailored for high-volume SMB customers.
• Implement and scale tech-touch engagement models for effective customer coverage.
• Develop strategies to drive deep product adoption and showcase the value of MyOperator's solutions (Cloud IVR, Call Center Software, WhatsApp API, etc.).
• Monitor health metrics, churn signals, and client escalations; design proactive action plans.
• Collaborate with Product, Sales, and Support teams to ensure a seamless customer experience.
• Deliver regular business reviews and performance reports to leadership (CEO and senior stakeholders).
• Continuously optimize processes to enhance team productivity and customer outcomes.

Qualifications:

• 5–7 years of proven experience in Customer Success / Account Management within SaaS, Telecom, CPaaS, or Cloud Communication.
• Minimum 2+ years of direct experience leading Team Leaders / Managers.
• Strong exposure to managing high-volume SMB customer bases.
• Excellent strategic thinking, problem-solving, and analytical skills.
• Tech-savvy mindset with experience implementing automation or tech-touch models.
• Experience in reporting to senior leadership (CEO/VP-level) is highly desirable.
• Exceptional communication and stakeholder management skills.

Join us at MyOperator and be part of a dynamic team that is transforming the way businesses communicate. We offer competitive compensation, comprehensive benefits, and ample opportunities for growth and career advancement. Apply today and embark on an exciting journey with us!

Benefits:

• Career growth opportunities in a fast-growing SaaS company.
• A competitive salary and performance-based incentives.
• A dynamic, inclusive, and collaborative work environment.
• Significant opportunities for professional growth and career advancement.
• The chance to make a real impact on thousands of growing businesses in India.
• Comprehensive health and wellness benefits.

Must know MySQL & PostgreSQL

- Good Knowledge of HTML, PHP Frameworks (like CI, Laravel, YII), Core PHP, JavaScript and CSS coding.

- Knowledge of Bitbucket/GitHub.

- Strong hands-on Bootstrap.

- Knowledge of databases and database concepts.

- Strong knowledge of Laravel/ CodeIgniter and its extensive feature set.

- Working Knowledge of e-commerce frameworks like OpenCart, WordPress, cs-cart, and Magento.

- Working knowledge of API for Mobile Applications

- Experience in Cache, and search plugins in terms of optimization

- Developing plug-ins/add-ons in PHP for various CMS solutions.

As a customer success manager your goal will be to provide outstanding customer service to our clients by developing effective customer service procedures, implementing customer loyalty programs, and Improve customer experience and customer satisfaction (Customer Love metrics)

• Be the single point of contact for all your customers from the time they sign the contract.
• Establish a trusted relationship with them and help them succeed with QDC through product adoption and delivering value promised.
• Understand the customer’s goals, org structure, key challenges, and define their success.
• Work with sales and on-boarding team to plan and execute a seamless customer on-boarding process, ensuring a smooth ‘go live’.
• Identify customer insights and pain points and help shape the product roadmap by providing active feedback to the product team.
• Proactively identifying and prioritizing resources and effort according to perceived risk, potential growth, strategic value and renewal timeframe, making sure subscriptions are renewed timely.
• Monitor at-risk customer behavior and carry out activities to retain them.
• Own churn and expansion for all your accounts.
• Identify opportunities for portfolio growth and contact customers for upsells.
• Work towards turning customers into advocates of QDC.
• Collaborate with the Marketing team to build customer case studies, testimonials, and referrals. 

• At least 2+ years of work experience in a customer-facing role such as Customer Success, Account Management and Sales, etc.
• Ability to understand a software product and its nuances very well.
• Excellent written and verbal business communication skills.
• Strong problem-solving skills, technical and analytical aptitude with the ability to quickly learn and adopt technical products.
• Ready to work during US hours - in future

We are on a mission to make Dry Cleaners and Laundry business winning in the digital era.

We believe in 

• Helping traditional laundries to come at par with digital businesses: Traditional We help laundry businesses adapt modern technology and deliver the customer experience that today’s digital businesses like Swiggy, OLA and Flipkart are delivering. We feel successful when we hear stories like https://www.youtube.com/watch?v=EbB828K28zs&;feature=emb_title">these.
• Building a large profitable business: We envision building a capital-efficient, large profitable business to achieve our mission of making laundry business win. This means less dependence on investors & more ownership with the team. We are one of the few profitable Indian SaaS startups buildinghttps://valuesaas.co/"> value SaaS
• Employee Wellness <> Customer Success: We give as much importance to each team member’s personal & professional success as much as we care about our customer's success. We believe it’s all about balance.

Our impact so far

• 3 Billion garments processed through QDC Dry Cleaning Cloud
• 47 countries
• 1000+ Paid subscribers
• 5000+ Users
• All this could be achieved with a nimble team of 20 from our single office in Noida

• Freedom & Responsibility: If you are a person who wants to take up challenging work & push your boundaries with no one monitoring you, then this is the right place for you. There are no hierarchies. No managers to please.
• Holistic Growth: Building a career doesn’t have to be at the cost of missing out on your personal front. We believe that professional success is worth when the personal goals are nurtured with equal importance. We will support you all in on that journey of yours.
• Transparency: If you ever wanted to know what it’s like to be on an entrepreneurial journey, then working with QDC gives you that opportunity to experience it all first hand.

Open Position: Facilities Engineers (2 positions)

MAQ Software, a leading global software consultancy, is nearing completion of our first office tower in Noida Sector 145 to support 2,000 engineers. Our new facility is located near Sector 145 Metro station adjoining the proposed 15 acre Microsoft campus. Our 350,000 square feet, 11 story building is designed by the leading architects and technical consultants. Our Platinum Green qualified building takes advantage of the recent advances in energy efficiency and uses 500KW solar plant.

Job Description:

We are seeking a Facilities Engineer to oversee all aspects of building functions and guarantee the safety and functionality of all facilities. Duties include working with contractors, planning maintenance work, maintaining records, and supervising facilities staff. The Facilities Engineer will ensure that our facilities are safe, functional, and efficient while also adhering to the government regulations. The ideal applicant will be well-versed in mechanical, electrical, and plumbing systems and have previous building management expertise.

Key Responsibilities:

• Design and oversee the construction of new facilities, ensuring they are functional, efficient, and safe.

• Manage and supervise facility maintenance staff, contractors, and vendors.

• Identify opportunities to improve energy efficiency and sustainability and implement solutions as appropriate.

• Maintain accurate records of maintenance and repair activities, as well as expenses.

• Develop and implement preventive maintenance programs for all facilities and equipment.

• Inspect buildings’ structures to determine the need for repairs or renovations.

• Maintain equipment and building provisions to meet health and safety requirements.

• Control activities like parking space allocation, waste disposal, building security etc.

• Prepare and implement project budgets and time limits.

• Work with other departments to identify and prioritize facility-related projects and allocate resources accordingly.

• Ensure that all facilities are equipped with necessary safety equipment and that staff are trained to use it.

• Provide technical support and guidance to other departments as needed.

Qualifications & Skills:

• Bachelor's degree in mechanical engineering, electrical engineering, or a related field.

• 8+ years of experience in facilities management or a related field.

• Strong understanding of mechanical, electrical, and plumbing systems.

• Knowledge of HVAC and other building systems.

• Experience in project management, including budgeting and scheduling.

• Ability to read and interpret technical drawings and specifications.

• Strong analytical and problem-solving skills

• Excellent communication and interpersonal skills.

• Familiarity with local and federal regulations related to facilities management.

• Experience with energy efficiency and sustainability initiatives is a plus.

Experience: 1-10 years

Work timings: To support our high-performance engineering team, we must limit downtime. You will be required to work in shifts to address issues with contractors as expected in new buildings in the new Noida sector.

We prefer candidates staying close to Noida Sector 145 to reduce traffic related issues.

Job location: MAQ Software, A3, Sector 145, Noida 201301

Profile: Java developer (2-4 years) - Noida

MUST Have: Core Java, data structure

NP: Immediate to 30 Days

Salary : Upto 9 LPA

MUST Haves: Java 1.8, Core Java, Data structure

Requirements:

• Java 1.8 version with Collections, Multithreading working knowledge –(Mandatory)
• Data Structures, BPM-Alfresco & Groovy