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Job Opportunity: Quality Engineer – Mechanical

Location: Gurugram

Qualifications:

• Full-time Degree/Diploma in Mechanical Engineering from a Govt. College/reputed private colleges.
• 3-6 years of experience in a similar role.

About the Role:

We are seeking a skilled and experienced Quality Engineer to join our dynamic team in Gurugram. As a Quality Engineer, you will play a pivotal role in ensuring the highest standards of quality in our engineering and manufacturing processes.

Key Responsibilities:

• Conduct in-house and supplier site inspections.
• Perform customer site installation audits and special interventions.
• Establish comprehensive guidelines for quality standards and checks.
• Investigate production and product issues, implementing corrective measures for improvement.
• Study drawings/documents for early issue identification.
• Prepare detailed reports on defective products, raw materials, and equipment malfunctions.
• Collaborate with internal teams, suppliers, and external technicians to meet organizational quality standards.
• Review customer feedback and implement changes to enhance products and satisfaction.
• Stay updated on safety and legal standards for manufacturing processes.

Must-Have Skills:

• Advanced MS Office Proficiency: Excel (Pivot tables, V lookup, formulas), Word, PowerPoint with excellent typing speed.
• Engineering Drawing Expertise: Proficient in interpreting machining and assembly engineering drawings.
• Machining Process Mastery: In-depth knowledge of various machining processes (Milling, Turning, Grinding, Welding, etc.).
• Equipment Proficiency: Handling a diverse range of equipment, from Sheet Metal fabrication to Centrifugal Pumps and Cooling Towers.
• GD&T Understanding: Solid grasp of Geometric Dimensioning and Tolerance principles.
• Quality Assurance Knowledge: Familiarity with Quality Assurance/Inspection General Standards.
• Precision Instrument Proficiency: Detailed knowledge of precision instruments for accurate measurements.

If you are passionate about ensuring quality excellence, have a Mechanical Engineering background, and possess the required skills, we invite you to apply. Join us in creating innovative solutions and maintaining the highest standards of quality in our dynamic work environment.

Apply now and be part of a team that values quality, precision, and continuous improvement.

About the company

KPMG International Limited, commonly known as KPMG, is one of the largest professional services networks in the world, recognized as one of the "Big Four" accounting firms alongside Deloitte, PricewaterhouseCoopers (PwC), and Ernst & Young (EY). KPMG provides a comprehensive range of professional services primarily focused on three core areas: Audit and Assurance, Tax Services, and Advisory Services. Their Audit and Assurance services include financial statement audits, regulatory audits, and other assurance services. The Tax Services cover various aspects such as corporate tax, indirect tax, international tax, and transfer pricing. Meanwhile, their Advisory Services encompass management consulting, risk consulting, deal advisory, and other related services.

Apply through this link- https://forms.gle/3iAtbPkGJ12B24Kr7

Job Description

Position: DevOps Engineer

Experience: Experience 4+ years of relevant experience

Location :  WFO (3 days working) Pune – Kharadi, NCR – Gurgaon.

Employment Type:  contract for 3 months-Can be extended basis performance and future requirements

Skills Required :

 • Proficiency in CI/CD process & Version Control Systems 

• DevOps Engineer who will be able to work on the automated CI/CD process and help in project deployment activities

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

REQUIRE TRAVEL EXECUTIVE

SKILLS- RESERVATION, TICKETING, PACKAGES

GENDER- MALE

EDUCATION- GRADUATE

EXPERIENCE- 3 YEARS

LOCATION- PITAMPURA, DELHI

SALARY –UPTO 40K

REQUIRE TRAVEL EXECUTIVE

SKILLS- RESERVATION, TICKETING, PACKAGES

GENDER- ANY

EDUCATION- GRADUATE

EXPERIENCE- 3 YEARS

LOCATION- Navi mumbai

SALARY –UPTO 35K

Join Artistic Bird as an IT Sales Executive. If you're adept in web design, development, and app sales, let's connect for career growth!

Our client is a premier web design and software solutions company based out of Delhi, Florida and California. They are a creative, young and dynamic organisation that provides superior quality solutions like web design and development, mobile app development on various platforms, cloud apps and Ecommerce web solutions. They have clients across US, Canada, UK, and Australia, who receive market ready and saleable apps.

What you need to have:

• Using the latest technologies to solve real problems for our customers at a massive scale
• Collaborating closely with other engineers as a valuable member of a cross-functional team
• Sharing your knowledge and building creative solutions while helping the team evolve best practices
• Designing, developing, and deploying backend services with a focus on high availability, low latency, and scalability
• Taking end-to-end responsibility for the services that are owned by your team, including taking part in an on-call rotation

Who you are

• A minimum of B.S. degree in Information Technology or Computer Science or 5+ years in a similar position
• Able to adapt, change and grow quickly as we scale the organization
• Passionate about engineering practices like agile, continuous delivery, test-driven development, traceability, and observability
• Growth mentality is curious and not afraid to be experimental.
• You share your ideas and continuously improve yourself and the team around you
• Solid experience as an Engineer designing, developing and maintaining API driven solutions
• Strong communication skills, high integrity, and great attention to detail

You’ll get to work with:

• Docker and Kubernetes
• Go and/or PHP
• PostgreSQL, Elastic Search, RabbitMQ
• Memcache, Redis
• Microservices architecture
• ELK, Jaeger, Prometheus & Grafana

We are looking for passionate engineers and researchers that want to contribute in this exciting and fast moving field of Deep Learning and Research.