Engineering Compensation Partner in India

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

We are seeking a Senior Software Engineer with strong infrastructure expertise to design, build, and operate the next generation of our enterprise Observability, Automation, and AI-driven Reliability Platform. This role will build highly scalable distributed systems and platform services spanning Storage, Compute, Network, VMware, OpenShift, and bare-metal infrastructure. The engineer will help transform infrastructure operations from reactive monitoring and manual remediation to proactive, predictive, and AI-driven autonomous operations. What You Will Be Doing: Design, build, and operate distributed software platforms for enterprise observability, telemetry, automation, and infrastructure reliability at large scale. Develop reusable platform services, APIs, automation frameworks, and control planes that enable self-service, reduce operational toil, and automate infrastructure operations across multiple engineering teams. Build scalable telemetry and event-processing systems spanning metrics, logs, traces, events, topology, and alerts, with the performance and efficiency to process billions of infrastructure signals. Build intelligent and AI-native reliability capabilities, including agentic workflows for anomaly detection, forecasting, root-cause analysis, automated debugging, and closed-loop remediation. Drive technical architecture and engineering direction across Storage, Compute, Network, and Platform domains, solving complex and ambiguous problems that span multiple teams. Engineer for production at scale, with strong focus on software quality, scalability, security, performance, observability, maintainability, and operational readiness. Provide technical leadership and mentorship, influence engineerin

Perforce is a community of collaborative experts, problem solvers, and possibility seekers who believe work should be both challenging and fun. We are proud to inspire creativity, foster belonging, support collaboration, and encourage wellness. At Perforce, you’ll work with and learn from some of the best and brightest in business. Before you know it, you’ll be in the middle of a rewarding career at a company headed in one direction: upward. With a global footprint spanning more than 80 countries and including over 75% of the Fortune 100, Perforce Software, Inc. is trusted by the world’s leading brands to deliver solutions for the toughest challenges. The best run DevOps teams in the world choose Perforce. Responsibilities Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 6+ years of hands-on software development experience. Strong foundation in Java and API technologies. Genuine interest in specializing in mainframe/legacy systems technology as a long-term career direction. Core Technical Skills – Java, APIs & Modern Stack Working knowledge of Java, used for the Sola IDE and one of the Sola runtime implementations. Experience with RESTful and SOAP web services, including how they're designed, secured, and exposed from backend systems. Familiarity or hands-on experience with API management gateways (e.g., Akana, Apigee, MuleSoft, Kong, or similar) — Sola's core purpose is exposing mainframe assets as governed, gateway-managed APIs. Working knowledge of JavaScript, used extensively within the Sola IDE. Experience with SQL/NoSQL databases, including DB2, Oracle, MS SQL, and/or MySQL. Working knowledge of CI/CD tools and pipelines. Requirement Mainframe & Legacy Systems – Growth Track (Mentorship & Training Provided) These skills will be

NVIDIA pioneers computer graphics, gaming, AI, and accelerated computing. We are looking for a Senior Solution Architect with full-stack software engineering experience to join our team and play an important role in developing Sales AI applications. This position offers the opportunity to design, build, and evolve solutions that bring generative AI and intelligent workflows into everyday sales experiences. You will work across the application stack and collaborate with Product, AI and machine learning, Data, Security, Solution Architecture, and Engineering teams to deliver secure, reliable, and scalable solutions used globally. What you’ll be doing: Collaborate with application teams to design, develop, and maintain scalable full-stack solutions for enterprise sales workflows. Guide technical solutions across front-end, back-end, APIs, data services, integrations, and cloud infrastructure. Translate product requirements and business needs into secure, maintainable solutions and intuitive user experiences. Integrate generative AI models, AI services, APIs, retrieval systems, and agentic workflows into production applications. Design application architectures that support performance, availability, observability, security, scalability, and long-term maintainability. Lead technical design discussions, compare implementation approaches, make informed architecture decisions, and evaluate emerging technologies. Improve engineering practices for testing, code quality, continuous integration and delivery, monitoring, documentation, and production readiness. Investigate complex issues and develop solutions that improve reliability and user experience. Mentor engineers, share technical knowledge, and contribute to engineering standards and collaborative team practices. What we need to see: <

Job Details: Job Description: In this role, you'll build software capabilities to automate the build, test, and deployment of Intel's Process Design Kit (PDK). A PDK is a collection of artifacts representing Intel's semiconductor process, used by product designers to model, implement, and verify Intel's mobile, desktop, and server products before manufacturing. You'll be a member of the Design Technology Platform organization, working closely with teams in the United States, Bangalore, and Penang to build world-class DevOps infrastructure that shapes the future of deploying PDKs to silicon product development teams at Intel. Qualifications: Bachelor's or Master's degree in Computer Science, Computer Engineering, or another closely related field. 7-12 years of experience with a Bachelor's degree or Master's degree in software development and engineering. Excellent Python programming skills. Expert-level knowledge of pytest concepts. Expert-level experience with GitHub-based Jenkins CI/CD deployment, enablement, and debugging. Proven knowledge of Agile software engineering practices, IT environments, and DevOps principles and processes. Excellent debugging and problem-solving skills. Excellent written and verbal communication skills; ability to present complex issues with clarity to drive decisions. Must have hands-on experience with AI tools and demonstrated experience building AI agents/tools. Exposure to VLSI PDK domain is preferred. Strong team player with proven ability to collaborate effectively across cross-functional and geographically distributed teams. Job Type: Experienced Hire Shift: Shift 1

Dr Ashwani Kumar Vij have been retained to select one : Director - Academics / Education for a growing Pvt Business Management Institute / Engineering and Technology Institute for Uttar Pradesh ( UP ) in August, 2026. Candidate should possess minimum 16 - 20 years of experience in the area of Higher Education Teaching, Academics / Senior management level proven track record / experience of Higher Education Sector Institute / Corporate Sector / PSU / Research Organisation. Person with experience in Academic Administration / Research / Consultancy / Training / Publications / MDPs / EDPs and serving as Director / Dean / HOD / Senior Professor in reputed Business Management School / MBAs / Engineering / Technology / Media / Law / Higher Education Institute and possessing PhD / MBA / Engineering background Preferably from IIT, IIM or Top 25 Premium Institutes would be highly Preferred. Desired Age is between 50 to 60 years. Those who have applied earlier need not apply again. Those who are drawing CTC of less than Rs 20 LPA are less likely to be considered. Higher Salary Package would be offered to the experienced Higher Education Sector Professional having IIT / IIM / Top 10 MBA / Engineering / Technology Education Background. DR ASHWANI KUMAR VIJ : President : Sales Recruitment Delhi/NCR and Metro Based Candidates : Please Courier / Speed Post Hardcopy of your : Complete / Structured CV ( Preferably Brief Resume of 2-3 Pages ), with Hard Copy of Visiting Card, Passport size Photograph, Supporting Documents, 2 Professional References, Salary Drawn / Salary Slip and Salary Expected details and address to: Mrs Savita Vij - Manager And also Email Your : Complete / Structured CV ( Preferably Brief Resume of 2-3 Pages ), with Scanned copy of Visiting Card, Passport size Photograph, Supporting Documents, 2 Professional References, Salary Drawn / Salary Slip and Salary Expected details at :

Dr Ashwani Kumar Vij have been retained to Select one Dean - Academics / Education by a Uttar Pradesh ( UP ) based Engineering, Technology and Management Institute in August, 2026 Person should have an Engineering / MBA background from IIT / IIM or Top 25 Premium University / Institute, along with PhD and possess experience in an academic, administrative and leadership role. He should have a minimum of 15 years of teaching, research and consultancy experience with at least 5/10 years at Dean / HOD in Higher Education Sector University / Institute / College. In the exceptional case, Top / Director / GM / Senior Management level Professionals from the Corporate Sector / Public sector undertaking can be considered. He should have published research papers at National and International levels. He should be able to lead and meet the Institute programme objectives. Preferred Age desired is between 45 to 55 Years. Those Drawing CTC of Less than Rs 18 LPA are less Likely to be considered. Higher Salary Package would be offered to the experienced Higher Education Sector Professional having IIT / IIM / Top 10 MBA / Engineering / Technology Education Background. Those who have applied earlier need not apply again. Excellent Salary Package would be offered to the right candidate. DR ASHWANI KUMAR VIJ : President : Sales Recruitment Delhi/NCR and Metro Based Candidates : Please Courier / Speed Post Hardcopy of your : Complete / Structured CV ( Preferably Brief Resume of 2-3 Pages ), with Hard Copy of Visiting Card, Passport size Photograph, Supporting Documents, 2 Professional References, Salary Drawn / Salary Slip and Salary Expected details and address to: Mrs Savita Vij - Manager And also Email Your : Complete / Structured CV ( Preferably Brief Resume of 2-3 Pages ), with Scanned copy of Visiting Card, Passport size Photograph, Supporting Documents, 2 Professional References, Salary Drawn / Salary Slip and Salary Expected details at :

Location : Coimbatore (Gandhipuram / Ganapathy / Saravanampatti / Saibaba colony / Thudiyalur / Kavundampalayam / Peelamedu / Pappanaickenpalayam / Thennampalayam / Arasur / Chinniampalayam / Neelambur / Sulur) Contact : 88702 66194 Industry : Engineering Industries / Telecom Sector Qualification : Any ITI / Diploma / Degree Male / Female Freshers / Experienced : 0 - 4 yrs Salary : 13000/- to 30000/- Positions:- 1. Telecallers / Back Office Female Experienced (15000/- to 18000/-) 1A. HR Managers / Senior HR Executives (25000/- to 30000/-) 1B. Accountants (Tally & GST) - Female (15000/- to 20000/-) 1D. Billing Clerks / Receptionists Male/Female (13000/- to 17000/-) 1C. Showroom In-charge / Sales Co-Ordinators (20000 25000/-) 2. System Operators - (Female) - 12000/- 2A. Quality Assistants / Office Assistants - (Female) : 12000/- 3. Data Entry Operators - (Female) -12000/- to 14000/- 4. Accounts Assistants - (Female) - 12000/- to 15000/- 5. Admin Staff / Office Executives - (Female) - 12000/- to 15000/- 6. Customer Support Executives - (Female) - 12000/- to 15000/- 7. Showroom In-Charge - (Female) - 20000/- 8. Sales Co-Ordinators - (Female) - 16000/- 9. HR Executives / HR Co-Ordinators - (Male) - 15000/- to 18000/- 10. Field Supervisors (Male/Freshers) 18000/- 11. Marketing / Business Executives - (Male) - 18000/- to 25000/- 12. Store Keeper / Warehouse Executives - (Male) - 12000/- 13. Machine Operators / Helpers / Assistants - (Male) - 20000/- 14. Quality Assistants / Quality Inspectors - (Male) - 20000/- 15. Cylindrical Grinding Operators - (Male) - 25000/- to 35000/- 16. Design Engineers / CAD Engineers - Mech (Male) - 13000/- to 25000/- 17. CMM Operators - (Male) - 15000/- to 22000/- Timing : 9.30AM 6.30 PM Sunday Holiday Contact : 88702 66194

HR Recruiter / HR Executive (Female) Location : Coimbatore Peelamedu / Neelambur / Chinniampalayam / Arasur / Thennampalayam / Singanallur / Ondipudur / Sulur / Pappampatti Contact : 88702 66194 Sector : Engineering Industry / Motor Division Qualification : Any Diploma / Any Degree with System Knowledge Experience : 2+ yrs Salary : Rs. 20000/- to Rs.25000/- (Negotiable) Timing : 9 AM 6 PM ESI, PF, Bonus, Increments available! Sunday Holiday! Contact : 88702 66194

Security Guards / Security Officer Job Location: Coimbatore Thudiyalur / Saravanampatti / Kovilpalayam / Karamadai / Narasimma Naicken Palayam / Periya Naicken palayam / Idikarai Contact : 88702 66194 Industry : Engineering Company Qualification : 10th Pass / Fail Experience : 2+ Yrs Age Limit : 25 - 50 Yrs Salary: Rs. 20000/- Timing : 8 AM 8 PM & 8 PM 8 AM (12 Hrs Duty - Shift based) ESI, PF, Bonus available..! Free Room & Free Food Available..! Contact : 88702 66194

DR ASHWANI KUMAR VIJ : have been retained by a growing organisation, Providing IT Infrastructure / Engineering Design Services to select one : Marketing/Business Development Manager. KRA / Position Description : We are looking for a business development professional having around 8-10 years’ experience. The candidate should have a proven track record of successful international deal closures in IT Services or Engineering Design Services in Infrastructure / Construction segment. Candidate should have international sales experience in US, Europe and/or Australia regions and must have travelled to above said geographies in the past. Experience / Position Requirements / Profile : Minimum of 8 years’ of relevant international experience. Proven track record of successful deal closures with international customers in the IT Services or Engineering Design Services in Infrastructure / Construction segment. Must be comfortable with managing entire lifecycle right from prospecting, lead generation to deal closures and account management. Must be presentable with superior English speaking skills. Any other international language known would be an added advantage. Must have prior international travel experience and should be comfortable with foreign travels. Responsibilities: Manage the entire lifecycle of a customer relationship right from lead generation to successful deal closures. Identifying sales opportunities through primary, secondary research including building up and maintaining the prospects database. Prospect for potential new clients and turn this into increased business. Meet potential clients by growing, maintaining, and leveraging business network. Participation in events/conferences to build a sales pipeline. Work with technical staff and other internal colleagues to meet customer needs. Using knowledge of the market and competitors, identify and develop the company’s unique selling propositions and differentiators. Forecast sales targets

DR ASHWANI KUMAR VIJ : have been retained by a Mid size organisation manufacturing and marketing a range of Industrial, sewage and water Pumps to select one : Sales / Marketing Manager ( Pumps ). Profile Desired : Mechanical Engineer preferably with MBA backgound from Premium Institute and having 10 to 12 years of relevant and Large engineering and pump Industry experience in Project and Product selling and Marketing to Govt, Large OEMs and Industrial customers in Northern Region. Age Desired : 32 - 35 Years. Excellent Salary Package would be offered to the right candidate. Those who have applied earlier need not apply again. DR ASHWANI KUMAR VIJ : President : Sales Recruitment Email Complete / Structured CV, with Scanned copy of Visiting Card, Salary Drawn / Expected details at :

To deliver safe, compliant and cost-effective civil and structural engineering solutions for copper manufacturing and associated infrastructure, from concept and basic engineering through detailed design, tendering and multidisciplinary interface management. Source: Adani Group | Job ID: 55729