Associate housekeeping Address: Comcast India Engineering Center I LLP Module 7 & 8 5th floor Phase 2 Chennai One North Block 200 feet Thoraipakkam Pallavaram Ring Road Chennai Facility: COMCAST INDIA - IFM CHENNAI Qualification: 8th Experience: 1 - 3 years Preferred Gender: FEMALE Source: Sodexo India | Job Code: IJP568190
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Engineering Standards Manager in India
1,116 active opportunities · Updated October 2026
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Explore current engineering standards manager jobs across India. Filter by work mode, employment type, experience, department, date posted and distance.
Associate housekeeping Address: Comcast India Engineering Center I LLP Module 7 & 8 5th floor Phase 2 Chennai One North Block 200 feet Thoraipakkam Pallavaram Ring Road Chennai Facility: COMCAST INDIA - IFM CHENNAI Qualification: 8th Experience: 1 - 3 years Source: Sodexo India | Job Code: IJP568187
MST Supervisor Address: Comcast India Engineering Center I LLP Module 7 & 8 5th floor Phase 2 Chennai One North Block 200 feet Thoraipakkam Pallavaram Ring Road Chennai Facility: COMCAST INDIA - IFM CHENNAI Qualification: ITI Experience: 1 - 5 years Source: Sodexo India | Job Code: IJP569391
Associate housekeeping Address: Comcast India Engineering Center I LLP Module 7 & 8 5th floor Phase 2 Chennai One North Block 200 feet Thoraipakkam Pallavaram Ring Road Chennai Facility: COMCAST INDIA - IFM CHENNAI Qualification: 8th Experience: 1 - 3 years Source: Sodexo India | Job Code: IJP568185
Facility Executive - Soft services Address: Comcast India Engineering Center I LLP Module 7 & 8 5th floor Phase 2 Chennai One North Block 200 feet Thoraipakkam Pallavaram Ring Road Chennai Facility: COMCAST INDIA - IFM CHENNAI Qualification: Graduate Experience: 1 - 3 years Source: Sodexo India | Job Code: IJP568202
Associate housekeeping Address: Comcast India Engineering Center I LLP Module 7 & 8 5th floor Phase 2 Chennai One North Block 200 feet Thoraipakkam Pallavaram Ring Road Chennai Facility: COMCAST INDIA - IFM CHENNAI Qualification: 8th Experience: 1 - 3 years Source: Sodexo India | Job Code: IJP568186
From ₹20L/yr
DR ASHWANI KUMAR VIJ : Has been retained by : MNC associated and Professionally Managed and fast growing Electronic Components Organisation to select 2 : Regional Sales Managers - North/Delhi. Responsibilities: - LEAD MANAGEMENT; Generate and qualify sales lead opportunities to drive sustainable and profitable sales growth of assigned territory. - CUSTOMER MANAGEMENT; Manage existing and potential customers to meet assigned revenue and profit targets. Liaise effectively across all functions in the organization to deliver total customers satisfaction. - SALES PLANNING AND ANALYSIS; Create specific plan of actions for managing customers that is aligned to company’s business strategy. Analyze orders and forecast of customers and execute recovery plan if required. Requirements: Bachelor’s degree in Electronics or Electrical Engineering or any related course. Candidate having MBA From Top Premium Institute would be given first Preference. Minimum 10 - 12 years Sales experience in electronics, electrical, power and Industrial electronics, Semiconductors, components, Capacitors Products / industry, Preferably From MNC Background. Sharp Business Acumen, Communication Proficiency, Problem Solving/Analysis, Project Management, Negotiation, Strategic Thinking and People Skills. Excellent communicator and negotiator. Persuasive, articulate, confident and capable of representing the company amazingly whether you’re negotiating deals with strategic partners, handling customers or inspiring your team Proven track record of managing complex projects and making data driven, or decisions. Creative approach in developing actionable analysis and recommendations Ability to multitask and take on diverse projects requiring different skill sets. Super organized, composed and handles pressure well. Must be professional, accessible and flexible to the changing needs of the department. Capable of handling fast paced situations. Age Preferred below : 32-38 Years. Those who
Job Description Assistant Professor (Computer Science & Engineering) Position: Assistant Professor Computer Science & Engineering (CSE) Department: Computer Science & Engineering Location: College Campus Key Responsibilities Deliver lectures and practical sessions in Computer Science & Engineering subjects. Prepare lesson plans, teaching materials, assignments, and assessments. Guide students in projects, internships, seminars, and research activities. Conduct laboratory sessions and ensure proper maintenance of computer labs. Evaluate student performance through assignments, quizzes, practicals, and examinations. Participate in curriculum development, accreditation, and departmental activities. Promote innovation, coding skills, research, and industry-oriented learning. Perform academic and administrative responsibilities assigned by the Head of Department. Eligibility Qualification: B.E./B.Tech and M.E./M.Tech in Computer Science & Engineering or a relevant specialization (Ph.D. preferred).
To manage and execute electrical engineering activities for Greenfield/Brownfield Thermal Power Plant projects, ensuring timely completion of engineering, procurement, installation, testing, commissioning, and synchronization activities while adhering to safety, quality, and project schedules Source: Adani Group | Job ID: 54970
To manage and execute electrical engineering activities for Greenfield/Brownfield Thermal Power Plant projects, ensuring timely completion of engineering, procurement, installation, testing, commissioning, and synchronization activities while adhering to safety, quality, and project schedules Source: Adani Group | Job ID: 54965
The Senior Manager – Projects (Biomedical Engineering) will be responsible for planning, designing, procuring, installing, commissioning, and operationalizing medical equipment and biomedical infrastructure for hospital projects. The role will work closely with architects, clinicians, project management consultants (PMC), MEP consultants, vendors, and hospital operations teams to ensure seamless integration of biomedical technology into healthcare facilities. Source: Adani Group | Job ID: 56525
... Facility: C V RAMAN COLLEGE OF ENGINEERING Qualification: Not Specified Job Code: IJP565310 | Source: Sodexo India
About the team The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems. As a Partner AI Deployment Engineer focused on AWS, you will operate at the center of one of our most strategic partnerships, driving joint customer success and enabling AWS and partner ecosystems to scale adoption of OpenAI-powered solutions. About the role We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams). This role goes beyond individual deal support—you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre- and post-sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments. You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximize impact across a portfolio of high-priority opportunities. This role is based in Bangalore . In this role, you will: Strategic AWS Engagement & Influence Serve as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams. Influence joint account strategy and technical direction for high-priority opportunities. Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices. Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem. Complex Deal Leadership & Execution Lead technical strategy for large, ambiguous, and high-stakes enterprise engagements. Guide customers from early ideation through architecture design, prototyping, and production deployment. Act as a technical d
About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role can be based in Delhi, Mumbai or Bangalore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.
About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team Paytm Ads is the digital advertising platform of Paytm, enabling brands to reach and engage with over 350M+ users across Paytm’s ecosystem of 200+ payment, commerce, and retail services—both online and offline. By leveraging transaction signals and behavioral insights, Paytm Ads enables advertisers to target highly relevant consumer cohorts and deliver performance-driven campaigns. About the Role We are looking for a Manager – Product Analytics to drive data-led decision making across the Paytm Ads platform. This role works closely with Product, Data Engineering, Sales, and Operations teams to analyze product performance, user behavior, and campaign outcomes, translating data into actionable insights that improve advertiser and platform performance. Key Responsibilities: ● Build and maintain automated dashboards and BI reports for key product and revenue metrics. ● Write advanced SQL queries to analyze large datasets and generate actionable insights. ● Analyze product usage, funnels, retention, and feature adoption to identify growth opportunities. ● Conduct A/B testing, cohort analysis, and segmentation to measure product and campaign impact. ● Track and optimize digital marketing performance metrics such as CAC, ROI, CTR, and conversions. ● Translate business/product questions into structured analysis recommendations for stakeholders. Qualifications: ● B.E./B.Tech from a reputed engineering institute ● Experience in Product Analytics, Management Consulting, Business Strategy, or Sales/Marketing Analytics roles. ● Strong SQL expertise for large-scale data analysis and reporting. ● E
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