Learning AND Development Assistant Manager Jobs in Noida
198 Jobs Found
Lead Design Engineer R&D Mechanical
Addverb Technologies
Position Title: Lead Design Engineer R&D Mechanical Location: Noida Department: R&D Mechanical Employment Type: Full-Time Role Overview We are seeking a highly motivated and technically strong Lead Design Engineer R&D Mechanical to join our cutting-edge Advanced Robotics team at our corporate headquarters in Noida. This role is central to designing and developing next-generation robotics products including collaborative robots, quadrupeds (Trakr), remote medical solutions, and bi-pedal robots. You'll contribute directly to redefining the future of robotics by creating innovative, manufacturable, and scalable mechanical solutions. You will play a hands-on role in new product development (NPD), optimization of existing designs, and mentoring junior engineers while collaborating across cross-functional teams to meet performance, quality, and cost goals. Key Responsibilities Product Development & Innovation Initiate and lead new product development based on inputs from Product Management, Sales, and Executive teams. Conceptualize innovative mechanical designs, assess design feasibility, and ensure functionality, durability, and user-centricity. Conduct design benchmarking and competitor analysis, including reverse engineering to drive product differentiation. Mechanical Design & Engineering Prepare detailed 2D and 3D CAD models, engineering drawings, and release BOMs using SolidWorks. Apply the maker-checker concept for design accuracy and maintain quality throughout the design lifecycle. Collaborate with Manufacturing Engineering (ME) and Quality teams to finalize test plans and quality assurance requirements. Respond to design-related queries from stakeholders throughout the product life cycle. Engineering Best Practices Ensure compliance with mechanical standards for strength, deflection, material selection, and finishes. Design electro-mechanical systems, including selection and integration of motors, gearboxes, linear motion systems, and other drive components. Release final CAD designs and documentation into PLM systems post-design approvals. Incorporate Geometric Dimensioning & Tolerancing (GD&T) to ensure manufacturability and precision. Required Skills & Qualifications Bachelor s degree (B.E/B.Tech) in Mechanical Engineering with 60%+ throughout academics. 3 to 8 years of experience in mechanical design, preferably in the automation or robotics industry. Strong experience in machine design for NPD including catalog component selection, fabrication, sheet metal, welding, bending, and machining processes. Proficiency in SolidWorks for 3D/2D modeling. Working knowledge of AutoCAD, Ansys, and Product Lifecycle Management (PLM) systems. Understanding of mechanical stress analysis, material science, and finish standards. Strong communication skills and ability to work across teams. Experience mentoring junior engineers is a plus. Be part of a world-class robotics company at the forefront of automation and advanced mechanical systems. Contribute to industry-defining products that impact healthcare, logistics, and industrial automation. Work in a collaborative, innovation-led culture with global exposure. Accelerate your learning curve in a high-growth, multidisciplinary environment. Qualification : Bachelors degree (B.E/B.Tech) in Mechanical Engineering
Robotics Software Engineer Advanced Robotics
Addverb Technologies
Position Title: Robotics Software Engineer Advanced Robotics Location: Noida Department: Advanced Robotics Employment Type: Full-Time Role Overview We are looking for a passionate and talented Robotics Software Engineer to join our Advanced Robotics team. In this role, you ll work at the forefront of robotics innovation designing and developing advanced software systems that power intelligent, autonomous robots for real-world applications, including warehouse automation and industrial mobility. As part of a multidisciplinary team, you ll help build sophisticated robotics solutions by applying your skills in C++, Python, algorithm development, perception, and motion planning. You ll work closely with experts in embedded systems, mechanical design, and electrical engineering to deliver scalable, production-grade robotics systems. Key Responsibilities Software Development Design, develop, and implement robust software modules in C++ and Python for core robotics functionality (e.g., perception, localization, mapping, navigation). Integrate new components into existing software architecture and ensure rigorous code reviews and unit testing. System Integration & Testing Conduct functional testing and validation of developed software components on real robotic hardware. Collaborate across disciplines (electrical, embedded, mechanical) to troubleshoot and optimize robotic system performance. Algorithm Development & Optimization Develop and maintain efficient algorithms with a focus on real-time performance and accuracy. Write clean, well-documented, and maintainable code aligned with best practices. Cross-functional Collaboration Work closely with product managers, software, and hardware teams to deliver integrated robotics solutions. Ensure effective communication and alignment on timelines, technical requirements, and dependencies. Research & Innovation Stay updated on the latest developments in robotics, machine learning, and control systems. Drive continuous improvement by researching new technologies and methodologies for robotics development. Documentation & Knowledge Sharing Maintain detailed documentation of code, processes, system architecture, and issues to support ongoing learning and future development. Key Skills & Qualifications Bachelor s degree in Computer Science, Robotics, Electrical/Electronics Engineering, or a related field (Master s degree preferred). 0 4 years of relevant experience in robotics software development or similar domains. Strong proficiency in C++ and Python. Solid understanding of robotics concepts such as SLAM, motion planning, perception, and control systems. Familiarity with ROS (Robot Operating System), Git, and Linux environments is a plus. Practical exposure to hardware testing and debugging robotic systems. Strong problem-solving skills, attention to detail, and the ability to work collaboratively in a fast-paced environment. Be part of India s leading robotics company, building world-class automation systems. Work on next-gen robotics platforms including bipedal robots, quadrupeds, cobots, and AMRs. Collaborate with a diverse, intellectual, and innovative team shaping the future of automation. Enjoy a flexible work culture, international exposure, and tremendous learning and career growth opportunities. Qualification : Bachelors degree in Computer Science, Robotics, Electrical/Electronics Engineering, or a related field (Masters degree preferred)
Deputy General Manager Talent Acquisition (TA Lead)
Avaada
Deputy General Manager Talent Acquisition (TA Lead) Department: Human Resources Location: Noida Experience: 12 15 Years Business Unit: Avaada Energy Pvt. Ltd. About Avaada Energy Avaada Energy is the flagship entity of the Avaada Group, spearheading India s shift to a cleaner and more sustainable energy future. With a robust presence across solar energy, green hydrogen, and sustainable infrastructure, we are committed to innovation, scalability, and creating large-scale impact through renewable energy solutions. Role Overview We are looking for a strategic and seasoned Talent Acquisition (TA) Leader to head our recruitment function at the Deputy General Manager level. This is a critical leadership role responsible for defining, driving, and scaling recruitment strategies that align with Avaada Energy s aggressive growth plans. The ideal candidate will bring strong expertise in project-based hiring, corporate and leadership recruitment, and a deep understanding of the renewable energy landscape. This is a high-impact role with direct engagement across CXOs, business heads, and project teams. Key Responsibilities Talent Acquisition Strategy & Workforce Planning Develop and execute annual and quarterly manpower plans aligned with the organization s strategic goals. Forecast and manage hiring needs across corporate, site, and EPC functions including engineering, procurement, project management, regulatory, and finance. Build strong talent pipelines for permanent, contractual, and niche technical roles. Conduct competitive benchmarking and track industry hiring trends to proactively identify top talent. Partner with business heads and HRBPs to define workforce metrics and priorities. Leadership Hiring & Stakeholder Management Act as the single point of contact for all recruitment activities across Avaada Energy. Partner with CXOs and senior leadership to drive closure of critical and executive-level roles. Provide strategic counsel to senior stakeholders on hiring best practices, diversity goals, and talent market competitiveness. Process Excellence & Recruitment Operations Oversee end-to-end recruitment lifecycle: job requisition, sourcing, interviewing, offer negotiation, and onboarding transition. Ensure all job postings are up to date across internal systems (Darwinbox, career portal). Establish and track key recruitment SLAs, conversion metrics, and candidate experience benchmarks. Maintain full compliance with company policies, background verification standards, and DEI guidelines. Team Leadership & Capability Building Lead and mentor a high-performing team of recruiters and coordinators across corporate and site locations. Set team KRAs and performance goals, foster a culture of collaboration, and encourage continuous learning. Upskill the TA team in digital hiring tools, AI-enabled recruitment, and employer branding practices. Employer Branding & Campus Hiring Drive campus recruitment for engineering graduates (GETs), diploma trainees, and interns. Collaborate with branding teams to run targeted talent campaigns (job fairs, social media, referral drives). Forge strategic partnerships with placement cells, training platforms, and third-party hiring agencies. Recruitment Analytics & Reporting Publish weekly/monthly dashboards and hiring reports for leadership and board updates. Track and analyze key metrics: TAT, source mix, offer-to-join ratio, cost-per-hire, early attrition, etc. Maintain a centralized repository of interview questions and assessment tools to support standardization and process automation. Ensure recruitment ROI through productivity tracking and continuous process optimization. Required Qualifications & Skills 12 15 years of progressive experience in Talent Acquisition, with at least 3 5 years in a leadership role. Experience in large-scale hiring within EPC, Energy, Infrastructure, or Engineering domains is preferred. Strong track record of executive hiring, project-based recruitment, and talent strategy development. Exceptional interpersonal and stakeholder management skills, with experience working with CXO-level executives. Proficient in ATS platforms (preferably Darwinbox), MS Office, and data-driven recruitment analytics. Demonstrated ability to lead and build high-performing teams. Preferred Education Bachelor's degree in Human Resources, Business Administration, or related field (MBA/PGDM preferred). Opportunity to lead TA for one of India s most ambitious clean energy organizations. High-impact role with exposure to leadership and strategic workforce planning. Collaborative work environment driven by innovation, sustainability, and purpose. Freedom to drive initiatives, build scalable systems, and shape Avaada s future talent landscape. Qualification : Bachelor's degree in Human Resources, Business Administration, or related field (MBA/PGDM preferred)
Data Engineer
Times Internet
Data Engineer Location: Noida Experience: 2 5 Years Employment Type: Full Time About Times Internet Times Internet is India s largest digital products company, building premium digital platforms across diverse sectors like News, Sports, Fintech, and Enterprise Solutions. Our brands such as TOI, ET, Cricbuzz, Times Prime, Willow TV, and Whatshot reach millions and are designed to simplify and enrich everyday experiences. We take pride in fostering an inclusive, innovative workplace. As an equal opportunity employer, we ve maintained gender pay parity (independently verified by Aon Hewitt) and are committed to building a diverse and equitable team. About the Business Unit ET B2B The Economic Times B2B Verticals (ETB2B) is a leading business media platform, delivering insightful content, newsletters, and premium conferences across 23+ sectors including Auto, Energy, Pharma, Retail, and HR. With a monthly reach of over 8 million professionals, ETB2B powers business decision-making and industry learning through platforms like ET Masterclass, vConfex, and the ET B2B Intent Signal Platform a cutting-edge initiative leveraging behavioral data, enrichment tools, and event-driven insights. Role Overview As a Data Engineer, you will work on building scalable data pipelines, deploying machine learning models, and extracting actionable buyer intent signals using a variety of data sources and advanced ML/NLP techniques. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines to process large-scale structured and unstructured data (web behavior, CRM, third-party APIs, etc.). Build predictive models to extract buyer intent signals, leveraging NLP, behavioral analytics, and pattern recognition. Use modern ML and NLP tools: spaCy, Transformers, Scikit-learn, TensorFlow, PyTorch, and OpenAI APIs. Collaborate with product managers, backend engineers, and data scientists to deploy models into production and optimize performance. Ensure data pipeline reliability, compliance (GDPR, SOC 2), and freshness through robust monitoring and alerting systems. Enhance pipeline and model inference efficiency for near real-time scoring applications. Document workflows, model performance, and pipeline architecture for internal transparency and reproducibility. Required Skills & Qualifications Strong experience in Python for data engineering, ML pipelines, and model integration. Proficiency with ETL tools (Airflow, Prefect), data processing frameworks (Pandas, Dask), and workflow orchestration. Knowledge of machine learning and NLP techniques (entity extraction, sentiment analysis, text classification). Familiarity with ML model deployment via Docker, Kubernetes, and cloud ML services (AWS SageMaker, GCP AI Platform, Azure ML). Experience with relational databases (PostgreSQL, MySQL) and cloud data warehouses (BigQuery, Redshift, Snowflake). Strong grasp of version control (Git), CI/CD pipelines, and agile collaboration tools. Ability to interpret, visualize, and communicate model insights effectively working alongside analysts or through dashboards. Education & Experience Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related technical field. 2 5 years of hands-on experience in data engineering, applied ML, or software development, ideally in SaaS, Martech, or B2B analytics domains. Be part of India s largest digital ecosystem. Work on impactful, high-scale products with real-world value. Collaborate with top minds in data, AI, and product development. Enjoy a culture of innovation, inclusion, and continuous growth. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related technical field
Lead Engineer
Times Internet
Lead Engineer Full Stack (Tech & Data Lead) Location: Noida Experience: 3 5 Years Employment Type: Full Time About Times Internet Times Internet is India s largest digital products company, delivering premium platforms across industries including News, Sports, Fintech, and Enterprise Solutions. Our iconic brands TOI, ET, Cricbuzz, Times Prime, Willow TV, and others reach millions of users and help simplify their everyday lives. We are an equal opportunity employer that promotes diversity, inclusion, and innovation. Our culture values bold thinking and empowers teams to build impactful products that shape the future of digital India. About the Business Unit ET B2B The Economic Times B2B Verticals (ETB2B) is a leading business media platform serving 23+ industries like Auto, Energy, Pharma, Retail, and HR, with a reach of over 8 million professionals. Through curated content, premium events, and innovative digital tools like ET Masterclass and vConfex, ETB2B powers informed decision-making and professional growth. We re now launching a first-party B2B intent signal platform a cutting-edge system to convert high-value traffic into actionable insights for enterprise clients. Role Overview We re looking for a hands-on Lead Engineer to head the technology and data backbone of our new B2B intent signal platform. In this founding team role, you ll architect and develop the platform s core backend, integrating components such as: Reverse-IP based company detection User behavior tracking Intent scoring engines Data packaging for enterprise delivery This role is ideal for someone who thrives in fast-paced, early-stage environments, enjoys solving complex data and system design challenges, and is motivated to build scalable, commercial-grade B2B SaaS infrastructure. Key Responsibilities Lead the design and development of end-to-end backend architecture for a high-scale B2B SaaS platform. Develop and integrate data pipelines, tracking mechanisms, and analytics engines to capture buyer behavior signals. Architect robust APIs and services to deliver insights and signals to clients in real time. Work closely with product managers and data teams to translate business requirements into tech roadmaps. Ensure platform scalability, security, and performance while adhering to industry standards. Mentor junior engineers and contribute to building a strong tech-first culture. Qualifications & Skills 3 5 years of full-stack/backend engineering experience, preferably in SaaS, Martech, or data-driven platforms. Strong experience with backend technologies such as Node.js, Python, Go, or Java. Hands-on experience with REST APIs, data modeling, and cloud platforms (AWS, GCP, or Azure). Familiarity with user tracking systems, behavior analytics, or intent data is a strong plus. Experience working with databases (SQL & NoSQL), message queues, and containerized deployments (Docker/Kubernetes). Problem-solving mindset with the ability to work independently in a startup-style team. Be a founding engineer on a high-impact, data-first B2B product. Work with cross-functional teams and own end-to-end tech decisions. Join a mission-driven, innovation-focused culture backed by India s top digital media company. Competitive compensation, autonomy, and learning opportunities.
Performance Marketing Manager
Easemytrip
Job Title: Performance Marketing Manager Location: Noida Experience Required: 3 to 8 years Employment Type: Full-Time About the Role As a Performance Marketing Manager at EaseMyTrip, you will play a key role in maximizing our digital presence and customer acquisition through targeted advertising and strategic marketing initiatives. This role involves designing, executing, and optimizing multi-channel performance marketing campaigns, analyzing data insights, and continuously adapting strategies to improve ROI. You ll leverage emerging digital technologies and market trends to maintain a competitive edge and drive measurable results. Key Responsibilities Strategy Development: Build and implement a comprehensive performance marketing strategy aimed at maximizing visibility and driving customer acquisition. Channel Management: Plan, execute, and optimize campaigns across digital platforms including Google Ads, Bing Ads, and social media channels such as Facebook, Instagram, LinkedIn, and Twitter. App Marketing: Enhance app downloads, engagement, and retention through targeted in-app marketing initiatives. Data Analytics: Use tools like Google Analytics and Google Tag Manager to collect data, analyze campaign performance, and make data-driven decisions for optimization. Budget Management: Efficiently allocate and manage marketing budgets to optimize cost per acquisition (CAC) and overall ROI. Campaign Optimization: Conduct continuous A/B testing, performance analysis, and refinement of campaigns to meet key performance indicators (KPIs). Innovation & Testing: Explore new digital marketing channels and technologies to improve campaign effectiveness. Cross-functional Collaboration: Partner with management and other teams to align marketing efforts and share insights. Reporting: Prepare detailed reports on campaign performance, providing actionable insights for future marketing strategies. Market Awareness: Stay current with digital marketing trends, tools, and best practices to keep the company competitive. Preferred Candidate Profile Education: Bachelor s or Master s degree in Marketing, Business Administration, or a related field. Experience: Proven track record managing multi-channel digital marketing campaigns, including PPC, SEO, and social media marketing. Analytical Skills: Strong ability to analyze data, interpret metrics, and make informed marketing decisions. Technical Proficiency: Skilled in digital marketing tools such as Google Analytics, Google Tag Manager, and mobile marketing platforms. Strategic Thinker: Capable of developing clear, goal-oriented marketing strategies. Communication: Excellent verbal and written communication skills to effectively engage with teams and leadership. Problem Solver: Creative and resourceful in overcoming marketing challenges. Adaptability: Willingness to experiment, learn, and adjust to evolving digital marketing landscapes. Goal-Oriented: Driven to meet and exceed performance targets. Team Player: Collaborative mindset to work effectively within cross-functional teams. Work with one of India s fastest-growing travel-tech platforms. Be part of a dynamic, innovative, and supportive team. Competitive salary and benefits. Opportunity for professional growth and continuous learning. Qualification : Bachelors or Masters degree in Marketing, Business Administration, or a related field.
Assistant General Manager Analytics (Risk Product)
Paytm
Assistant General Manager Analytics (Risk Product) Location: Noida, Uttar Pradesh (Onsite) Company: Paytm India s Leading Mobile Payments & Financial Services Platform About Paytm Paytm is India s pioneer in mobile payments and financial services distribution, revolutionizing the digital economy with mobile QR payments. Our mission is to bring half a billion Indians into the mainstream economy using cutting-edge technology. Join us to be part of India s largest fintech lending revolution. Role Overview We are looking for an experienced Assistant General Manager Analytics to lead data analysis and reporting efforts for our lending verticals. This role demands strong expertise in SQL, dashboarding tools, and a passion for using AI to automate repetitive data workflows. You will collaborate with multiple stakeholders, deliver actionable insights, and drive data quality improvements across lending products. Key Responsibilities Develop, maintain, and automate comprehensive reports and dashboards tracking KPIs across lending verticals. Manage and prioritize data and analytics requirements from multiple lending teams. Analyze lending data trends to provide insights and actionable recommendations. Ensure data quality, accuracy, and integrity through robust methodologies. Present findings effectively to both technical and non-technical audiences. Identify opportunities to apply AI for automating repetitive data processes and improving efficiency. Stay current with industry trends in data analytics, AI, and fintech lending. Qualifications Bachelor s degree in a quantitative field (Statistics, Mathematics, Economics, Engineering, etc.). 5 7 years of hands-on experience in data analytics, preferably in lending or financial services. Strong proficiency in SQL and PySpark for data manipulation and analysis. Expertise with data visualization tools such as Tableau, Power BI, or Looker. Excellent analytical, problem-solving, and communication skills. Ability to manage multiple projects and collaborate across teams. Self-driven with a demonstrated passion for AI implementation and automation. Preferred Skills Experience with statistical modeling and data mining techniques. Familiarity with cloud data warehousing platforms like Snowflake, BigQuery, or Redshift. Programming experience in Python or R. Proven track record of implementing AI-driven automation in business analytics. Be part of India s largest fintech lending platform with 500+ million users and 21+ million merchants. Work in a high-energy, innovative environment that fosters career growth and excellence. Opportunity to contribute to democratizing credit and financial inclusion in India. Play a critical role in shaping the future of digital lending in the country. Qualification : Bachelors degree in a quantitative field (Statistics, Mathematics, Economics, Engineering, etc.)
Agency Engagement Manager
Paytm
Agency Engagement Manager Paytm Ads Location: Noida, Uttar Pradesh (On-site) Department: Business Paytm Ads Type: Full-time Employment About Paytm Paytm is India s leading mobile payments and financial services platform. As the pioneer of mobile QR payments in India, our mission is to bring half a billion Indians into the mainstream economy through the power of technology. With over 500 million registered users and 21+ million merchants, we re reshaping the way India transacts. About Paytm Ads Paytm Ads is our cutting-edge digital advertising vertical that enables brands to engage with a 300+ million strong user base through precision targeting and innovative ad formats. By analyzing transactions and user behavior across 200+ services within the Paytm ecosystem, we deliver highly personalized campaigns that drive real business outcomes for brands. Role Overview: Agency Engagement Manager (West Market) As an Agency Engagement Manager, you will be responsible for building, scaling, and nurturing strategic partnerships with advertising agencies. You ll serve as a key connector between agency stakeholders and Paytm Ads, ensuring seamless collaboration, product adoption, and revenue growth. This is a high-impact role requiring deep industry insight, strong relationships, and a consultative sales mindset. Key Responsibilities Develop and grow strong relationships with key agency stakeholders, from CXOs to execution-level teams. Act as a trusted advisor, helping agencies leverage Paytm Ads solutions to grow their clients businesses. Execute Paytm Ads go-to-market strategy for agency partnerships, ensuring sustained revenue growth. Co-create innovative programs and initiatives that align with agencies value propositions and drive business outcomes. Own the agency training, education, and product evangelism strategy, ensuring platform understanding and engagement. Collaborate cross-functionally with internal teams (Sales, Marketing, Product) to ensure coordinated and effective campaign execution. Serve as the internal voice of agency partners, contributing insights to product development and marketing strategies. What You ll Need to Succeed 5+ years of experience in marketing, digital advertising, media sales, or agency management. Deep understanding of India s digital ad ecosystem and agency landscape. Proven track record in relationship management, strategic planning, and delivering measurable growth. Strong communication, presentation, and negotiation skills. Existing network of senior agency and brand decision-makers is highly preferred. Ability to manage multiple stakeholders and projects in a fast-paced, cross-functional environment. Bachelor s degree is mandatory; additional certifications in marketing or advertising are a plus. Be at the forefront of ad tech innovation with one of India s largest and most data-rich ecosystems. Shape the future of digital advertising across fintech, retail, eCommerce, and more. Enjoy a collaborative, output-driven culture focused on growth and continuous learning. Be a part of India s biggest digital lending and monetization story. Compensation & Perks If you re the right fit, we believe in creating wealth for you not just a paycheck. Join a company where your impact is visible, valued, and celebrated. Apply now and take the next big leap in your digital advertising career. Qualification : Bachelors degree is mandatory; additional certifications in marketing or advertising are a plus.
Managed Services Enablement Executive
Umbrella Infocare
Job Title: Managed Services Enablement Executive Location: Noida, India Experience: 3 - 5 years Education: Bachelor s Degree in Computer Science, Engineering, or related field Role Overview We are looking for a motivated Enablement Executive to lead onboarding, training, and skill development initiatives for our Cloud Managed Services team. You will play a vital role in ensuring new and existing team members are equipped with the right knowledge, certifications, and skills to excel and grow within the organization. Key Responsibilities Onboarding and Induction Design and implement induction programs tailored to new joiners' levels. Coordinate and schedule onboarding sessions with relevant team members. Track and maintain onboarding progress for all new hires. Certification Management Maintain up-to-date certification records of the team. Develop and communicate certification plans aligned with team roles and company requirements. Skillset Matrix and Training Needs Analysis Maintain a comprehensive skillset matrix for the Managed Services team. Identify gaps and training needs for individuals and teams. Plan and organize targeted enablement programs and training sessions. Team Enablement and Upskilling Identify candidates for upskilling and advancement. Develop and execute enablement programs for current team members and freshers. Assign mentors and facilitate pre-assessments, training, hands-on experience, weekly reviews, post-assessments, and final evaluations. Ongoing Enablement and Training Programs Organize account-specific training and sessions on SOPs and escalated issues. Facilitate technical discussion forums ("Tech Chats"). Coordinate registration and participation tracking for relevant webinars and workshops. Reporting and MIS Prepare and share monthly progress reports on enablement activities at the department level. Skills & Qualifications Excellent spoken and written English communication skills. Proven team handling and coordination capabilities. Strong organizational and planning skills. Good working knowledge of Microsoft Office (Word, Excel, PowerPoint). Ability to work collaboratively with cross-functional teams and stakeholders. Education Bachelor s Degree in Computer Science, Engineering, or a related discipline. Join us to be a key driver of learning and development within a dynamic cloud services team! Qualification : Bachelors Degree in Computer Science, Engineering, or a related discipline.
Senior Machine Learning Engineer II
Adobe
Senior Machine Learning Engineer II Location: Noida, Uttar Pradesh, India Employment Type: Full-Time About Adobe Adobe is revolutionizing the way the world creates and communicates. From individuals to global enterprises, our tools empower people to design and deliver stunning digital experiences. We re driven by creativity, fueled by innovation, and committed to creating an inclusive culture where every employee has access to equal opportunity and respect. About the Team The Adobe Express team is building a transformative all-in-one creative application for web, desktop, and mobile platforms. By combining Adobe s core creative technologies with intelligent, AI-enhanced workflows, Adobe Express empowers anyone from casual creators to professionals to create standout content quickly and effortlessly. The Opportunity We are seeking a highly experienced and visionary Senior Machine Learning Engineer II to develop next-gen AI-powered features focused on image editing, generative AI, and multimodal creative experiences within Adobe Express. You will drive cutting-edge ML and AI workflows, including personalized assistants, intelligent editing tools, and LLM-integrated creative workflows. Experience Requirements 12+ years of hands-on experience in machine learning, computer vision, NLP, or related domains. Track record of delivering production-grade ML models and scalable AI systems. Experience with LLMs, agent-based systems, and generative AI models is strongly preferred. Responsibilities Design, develop, and deploy scalable ML pipelines across the entire lifecycle training, inference, and optimization. Build generative AI features and intelligent assistants for Adobe Express, particularly in the image editing domain. Integrate Large Language Models (LLMs) and AI agents to support dynamic and multimodal creative workflows. Collaborate across product, design, and engineering to translate user needs into AI-powered features. Architect sub-agent frameworks to modularize tasks such as content generation, smart editing, and design assistance. Contribute to experimentation infrastructure, including A/B testing, performance tracking, and continuous learning. Stay current on research in generative AI, federated learning, and optimization techniques for low-latency inference. Champion AI-first practices and mentor peers to foster a culture of experimentation, learning, and innovation. Required Skills Programming: Proficient in Python (for model development) and C++ (for performance-sensitive systems). Frameworks: Deep experience with TensorFlow, PyTorch, and modern GenAI toolkits. AI Expertise: Practical experience with LLMs, computer vision, NLP, multimodal models, and agent-based design. Systems: Proven ability to build ML pipelines at scale both in cloud and on-device environments. Preferred Qualifications Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Published research or patents in AI/ML, especially in generative modeling or AI-assisted creativity. Experience with federated learning, RAG (retrieval-augmented generation), and real-time inference optimization. Lead the development of creative AI technologies that impact millions of users globally. Work in a collaborative, inclusive, and high-performing team culture. Access world-class learning, research, and innovation resources. Enjoy excellent employee benefits, flexibility, and career growth opportunities. Adobe is proud to be an Equal Opportunity Employer. We believe that diversity makes us stronger and we encourage all qualified individuals to apply. Qualification : Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.
Assistant Manager - Hr (l&d)
Indus Valley Partners
Assistant Manager - HR (Learning & Development) | Training & Development | LMS Management Location: Noida, Uttar Pradesh, India Position: Assistant Manager - HR (Learning & Development) Department: Human Resources Job Description: We are seeking an experienced Assistant Manager - HR (Learning & Development) to join our dynamic team in Noida. In this role, you will be responsible for identifying training needs across various departments, planning and executing training interventions, and maintaining detailed records of training activities using the Learning Management System (LMS). You will collaborate with key stakeholders to ensure the timely delivery of training programs, generate insightful reports, and support the continuous development of employees through effective learning initiatives. Key Responsibilities: Identify Training Needs: Conduct Training Needs Analysis (TNA) in collaboration with department heads to determine skill gaps and development requirements across the organization. Plan Training Interventions: Design and implement tailored training interventions that meet organizational needs and improve employee performance. Training Calendar Management: Prepare, communicate, and manage the training calendar on a quarterly basis, ensuring that all training activities are aligned with business goals and delivered on time. Maintain Training Records: Oversee the recording and tracking of all training activities in the LMS, ensuring accurate data entry and up-to-date records. Reporting & Dashboards: Generate monthly and quarterly reports, training dashboards, and training MIS to evaluate the effectiveness of training programs and identify areas for improvement. Feedback & Evaluation: Roll out feedback forms post-training to assess the effectiveness of training programs and ensure continuous improvement. New Joiner Induction Program: Plan, coordinate, and execute the new joiner induction program, ensuring a smooth onboarding experience for new employees. Batch Training for New Hires: Organize and execute batch training programs for new hires as needed, ensuring comprehensive onboarding and skills development. Compliance Training Management: Track and maintain records for compliance e-courses for new joiners, annual refreshers for existing employees, and the completion of compliance courses for exiting employees via the LMS. Required Skills and Experience: Strong experience in Learning and Development (L&D) with a focus on training need analysis, LMS management, and training program execution. Expertise in identifying training needs across departments and designing appropriate development plans. Proficient in managing and maintaining Learning Management Systems (LMS) to record and track training activities. Excellent report generation and data analysis skills, including the ability to create training dashboards and MIS reports. Strong organizational and communication skills, with the ability to plan, coordinate, and execute training programs effectively. Ability to handle administrative tasks like tracking compliance e-courses and managing the new joiner induction program. Experience in gathering feedback and continuously improving training programs based on participant insights. Preferred Skills: Experience with training tools and software for LMS, feedback management, and reporting. Ability to work in a fast-paced environment and manage multiple training initiatives simultaneously. Knowledge of compliance training and regulatory requirements for various sectors.
Computer Vision Researcher Advanced Robotics
Addverb Technologies
Job Title: Computer Vision Researcher Location: Noida Headquarters Overview: We are looking for a talented and driven Computer Vision Researcher to join our Advanced Robotics team. As a key member, you will contribute to the design, optimization, and integration of cutting-edge computer vision technologies that power our innovative robotic systems. Your expertise will drive the development of humanoid robots capable of navigating and interacting with complex, dynamic environments. This role will involve working on various advanced robotics products, including the Collaborative Robot, Quadruped (Trakr), Remote Ultrasound Solution, and Bi-Ped Robot. Key Responsibilities: Conduct Advanced Research: Lead research in computer vision areas such as image segmentation, object detection, motion tracking, sensor fusion, and more to create efficient algorithms enabling robots to perceive, navigate, and interact in real time with their environments. Deep Learning Model Development: Design, train, and fine-tune deep learning models (e.g., CNNs, RNNs, GANs) for various computer vision tasks. Work with large datasets to optimize performance and accuracy. Data Pipeline Management: Develop and implement efficient data processing pipelines for large-scale datasets. Utilize data augmentation techniques to enhance model robustness. Prototype Development: Build prototypes and proof-of-concept systems to demonstrate the integration of computer vision algorithms into practical robotic applications. Real-time Optimization: Evaluate and optimize the performance of computer vision models, particularly for real-time applications, ensuring both high accuracy and computational efficiency, especially for embedded or mobile devices. Third-Party Integration: Facilitate the integration of third-party computer vision libraries and frameworks into the robotic control stack, ensuring seamless compatibility with existing systems. Collaboration Across Teams: Work closely with product teams, hardware engineers, and software developers to integrate computer vision technologies into robotics hardware for enhanced robot movement and features. Mentorship and Guidance: Mentor junior researchers and engineers in computer vision techniques. Provide guidance on experimental design, data analysis, and algorithm development. Qualifications & Skills: Education: Ph.D. or Master s degree in Computer Science, Computer Vision, AI, Robotics, or a related field. Experience: 5-8 years of experience in computer vision research and development, including working with deep learning frameworks and large-scale datasets. Expertise in Computer Vision: Strong knowledge of image processing, feature extraction, object detection, segmentation, tracking, and other related areas. Deep Learning Frameworks: Proficiency with frameworks like TensorFlow, PyTorch, Keras, or Caffe. SLAM and VIO Knowledge: Experience with Visual SLAM, LiDAR SLAM, and Visual Inertial Odometry (VIO) is a plus. Advanced Networks: Hands-on experience with CNNs, RNNs, GANs, and other advanced deep learning architectures. Traditional Computer Vision: Familiarity with traditional computer vision techniques such as SIFT, SURF, HOG, and Optical Flow. Programming Skills: Strong skills in C++, Python, or other relevant programming languages. Data Handling: Experience with large image datasets (e.g., COCO, ImageNet), data augmentation, and processing techniques. Computer Vision Libraries: Experience with libraries like OpenCV or scikit-image. GPU Programming: Familiarity with CUDA for training deep learning models on GPUs. Machine Learning Fundamentals: Strong background in machine learning algorithms, statistical methods, and performance analysis techniques. Research & Innovation: Ability to stay current with the latest research trends in computer vision and apply cutting-edge methods to real-world challenges. Be a part of a dynamic, forward-thinking team pushing the boundaries of robotics. Work on innovative products with the potential to redefine the robotics landscape. Collaborate with experts across multiple disciplines in a supportive, growth-focused environment. If you're passionate about advancing the future of robotics and have a deep understanding of computer vision, we encourage you to apply and make a tangible impact on the next generation of intelligent robotic systems. Qualification : PhD or master's degree in computer science, Computer Vision, AI, Robotics, or a related field
Cpu Lead Physical Design Engineer
Qualcomm
General Summary: Qualcomm is a global leader in designing and developing advanced semiconductor solutions. We are seeking an experienced CPU Lead Physical Design Engineer to join our world-class team and contribute to the implementation of high-performance CPU designs. You will lead the physical design aspects of next-generation CPU cores, collaborating closely with architecture, RTL, and verification teams to deliver industry-leading solutions. This is an exciting opportunity to work on cutting-edge technology nodes, including 5nm, 3nm, and below, and play a vital role in Qualcomm s advanced CPU product development. Key Responsibilities: Lead and manage the physical design (PD) of high-performance CPU cores from RTL to GDSII. Drive floorplanning, power grid design, and timing closure at block and full-chip levels. Optimize designs for power, performance, and area (PPA) while meeting stringent timing, power, and signal integrity requirements. Collaborate with architecture, RTL, and verification teams to ensure design feasibility and conduct implementation reviews. Ensure delivery of high-quality designs that meet DFT, DFM, and reliability requirements. Perform Static Timing Analysis (STA) and resolve timing violations using industry-standard tools. Drive ECO (Engineering Change Order) implementation to address design issues and ensure successful closure. Mentor and guide junior engineers in physical design methodologies and best practices. Minimum Qualifications: Bachelor s degree in Electrical Engineering, Computer Engineering, or a related field with 8+ years of experience in physical design. A Master s degree is preferred. Proven experience in CPU or high-performance IP physical design at advanced technology nodes (7nm, 5nm, or 3nm). Expertise in place-and-route (PnR) tools such as Synopsys ICC2, Cadence Innovus, or equivalent. Strong understanding of timing analysis, power analysis, signal integrity, and design closure. Experience with physical verification (DRC, LVS) and IR/EM analysis. Proficiency in scripting languages (Tcl, Python, Perl) for design automation. Preferred Qualifications: Knowledge of CPU architecture and microarchitecture. Experience with low-power design techniques such as multi-Vt, power gating, and dynamic voltage scaling. Familiarity with EDA tools for timing, power, and physical verification. Strong leadership and team collaboration skills. Why Join Qualcomm? At Qualcomm, you ll work in a dynamic environment at the forefront of innovation. We offer: Continuous learning opportunities. Flexible working arrangements. Collaboration with some of the brightest minds in the industry. Join us and help shape the future of high-performance computing!
Computer Scientist - I
Adobe
Role Overview: The Adobe Express Content Team is looking for a passionate and motivated Full Stack Engineer to help build a scalable and responsive design application. As part of the team, you ll work on creating intuitive design tools that enable fast and easy content creation for users across web and mobile platforms. Key Responsibilities: UI and Service Development: Build new UI components and optimize scalable backend services and APIs to enhance user workflows. End-to-End Engineering: Architect and implement modern front-end and back-end solutions, handling upstream and downstream dependencies. Collaboration & Design: Work closely with UI/UX designers, architects, and product managers to create modern and intuitive features that deliver seamless user journeys. Performance Optimization: Extend, optimize, and future-proof parts of both front-end and back-end stacks. Production Support: Build and support production services and ensure smooth operations. Key Skills and Experience Required: Experience: 5+ years of experience in developing sophisticated web applications with responsive designs, modular and loosely coupled code. Technical Proficiency: Experience with JavaScript frameworks like TypeScript, React, ES6, and architectures like MVC/Flux/Redux. Knowledge of web standards, modern browsers, and performance optimizations (e.g., JS engines, CSS, reflow, repaint). Backend Services & Cloud Technologies: Familiarity with backend services, ElasticSearch, Node.js, Python, AWS services (Lambda, API Gateway, DynamoDB), Kubernetes, and Elastic Containers. Testing & Debugging: Strong knowledge of algorithms, data structures, and distributed systems design/implementation. Experience with unit, integration, and end-to-end testing. Production Maintenance: Experience with maintaining and debugging production environments and participating in on-call rotations. Internal Opportunities: At Adobe, creativity and constant learning are integral to career growth. Join us for an exciting journey of innovation and opportunity!
Machine Learning Engineer 5
Adobe
Role Overview: As a Development Engineer in Adobe's AI Platform team, you'll play a pivotal role in the development, operations, and support of cutting-edge AI and ML solutions. You will be responsible for building new features, maintaining existing ones, and ensuring the successful delivery of high-quality, scalable software. The role requires expertise in Golang/Python, Kubernetes, and cloud platforms, as well as experience in machine learning (ML) solutions and workflow orchestration. Key Responsibilities: Product Development: Hands-on product development and solution implementation. Develop new features and maintain existing ones, from concept to deployment. Responsible for the full development lifecycle, including planning, design, coding, debugging, testing, and deployment. Analyze and implement high-quality software solutions using Golang/Python. Project Planning and Risk Analysis: Plan, estimate, and evaluate project efforts and associated risks. Drive the design and implementation of new layers, solutions, workflows, and features. Optimize solutions for frugality without compromising stability or resiliency. Cloud Infrastructure & ML Solutions: Design, develop, and optimize cloud-scale products and services. Build, deploy, and manage infrastructure in public cloud environments, particularly AWS. Develop solutions using the latest machine learning tools like PyTorch. Collaboration and Optimization: Collaborate with cross-functional teams to ensure the successful deployment and scalability of products. Continuously optimize the solution for performance, scalability, and cost-efficiency. Required Qualifications: Education: Bachelor s or Master s degree in Engineering or a related field. Experience: 9-12 years of relevant industry experience, particularly in cloud-based software development. Proven expertise in building large-scale platforms using Kubernetes. Strong programming skills in Python and Go. Experience with ML development tools, especially PyTorch. Experience in deploying and managing cloud infrastructure, particularly in AWS. Skills: In-depth knowledge of cloud platforms, container runtimes, and Kubernetes. Ability to work with large data-driven products and services used by a wide customer base. Strong problem-solving and debugging skills. Equal Opportunity Statement: Adobe is an Equal Employment Opportunity and affirmative action employer, ensuring all individuals are treated equally without discrimination based on gender, race, age, disability, religion, sexual orientation, or any other protected status. Qualification : Bachelors / Masters degree in engineering.
Senior Solution Architect
Ericsson-worldwide
Ericsson is a global leader in telecommunications equipment and services, providing solutions to mobile and fixed network operators. With over 1,000 networks across more than 180 countries, Ericsson's equipment supports more than 40% of the world's mobile traffic. We offer a diverse, performance-driven culture and innovative environment, allowing employees to enhance their potential daily. Our employees are united by a shared passion for winning and a strong responsiveness to customer needs, making us a trusted partner to our clients. At Ericsson, professional growth is encouraged through continuous learning and stimulating work experiences. Role: Senior Product Manager - Mobile Financial Services / Fintech As a Senior Product Manager, you will take the lead in product management, design, and deployment within the mobile financial services or fintech domain. You will have a direct impact on product strategy, deployment, and lifecycle management, ensuring alignment with company objectives and market needs. What You Will Do Experience & Leadership: Proven experience (13+ years) in product management, design, and deployment, especially in mobile financial services or fintech. Demonstrated success in leading and scaling product deployment teams with a history of designing and delivering innovative and successful solutions. Product Strategy & Design: Define and communicate the product vision and strategy for mobile financial services, ensuring alignment with company objectives and market opportunities. Lead the end-to-end product deployment lifecycle, from planning to execution and optimization, acting as the CSR (Core-3 role) or similar role responsible for solution scope. Collaboration & Stakeholder Management: Collaborate closely with cross-functional teams (engineering, design, marketing, sales) to ensure high-quality products are delivered on time. Manage stakeholders effectively, ensuring timely delivery and alignment with strategic goals. Market Research & Analysis: Conduct market research and competitive analysis to identify opportunities for innovation and growth in the mobile financial services sector. Customer-Centric Focus: Prioritize product features and enhancements based on customer feedback, business value, and strategic priorities. Foster a customer-centric culture within the team, ensuring the user experience and customer satisfaction remain top priorities. Key Performance Indicators (KPIs): Establish and track KPIs to measure product success, ensuring continuous improvement and optimization of product performance. What You Will Bring Extensive Experience: At least 13+ years of experience in product management, with a focus on mobile financial services or fintech. Proven leadership in scaling product deployment teams and managing complex product lifecycles. Strategic & Analytical Thinking: Strong strategic thinking and analytical skills, with the ability to synthesize market data and customer insights into actionable strategies. Agile & Tools Knowledge: Experience with Agile methodologies and product management tools (e.g., Jira, Confluence) is preferred. Regulatory & Industry Knowledge: Strong understanding of mobile technologies, user experience design, and financial services regulations. Exceptional Communication: Excellent communication skills with the ability to influence and inspire cross-functional teams. Customer-Centric Focus: Foster a customer-centric mindset across all levels of the organization, ensuring that product development aligns with user needs and satisfaction. Why Ericsson? Join a global leader in the telecommunications industry, making an impact on cutting-edge products in the mobile financial services domain. Work in a dynamic environment where innovation and professional growth are at the forefront of your career development. Be part of a diverse and performance-driven culture, where collaboration and customer success are key priorities.
Technical Product Specialist
S&p Global
The Team: The Enterprise Data Management team centralizes and manages diverse data on a single, resilient platform, delivering a unified version of the truth for trade, operational, risk, financial, and customer data. Through smooth data integration, validation, and distribution, Enterprise Data Management strengthens data governance, quality, and transparency, enabling firms to maintain ongoing compliance and control. Our award-winning platform is essential for large financial institutions, backed by a dedicated team focused on continuous improvement and successful client deployments. We are committed to enhancing the platform's capabilities, keeping it at the forefront of industry standards while providing exceptional support for client implementations. The Role: We are seeking a seasoned Enterprise Data Management Technical Specialist to join our dynamic team in Gurgaon, India, reporting directly to Raj Ethiraj. In this crucial role, you will lead the design, implementation, and configuration of sophisticated EDM solutions, ensuring data accuracy, consistency, and regulatory compliance. The Impact: As a key member of the Product Management team, you will play an essential role in steering the Agile development process, overseeing complex projects from inception to completion, and maintaining modules to ensure smooth functionality. What s in for you: You will collaborate closely with cross-functional teams, mentor junior team members, and contribute to the timely delivery of impactful product enhancements that drive business profitability. The ideal candidate will have a strong technical background, with a minimum of 6 years of hands-on experience in Enterprise Data Management, a deep understanding of financial data and capital markets processes, and exceptional communication and product management skills. Join us to drive the success of our award-winning Enterprise Data Management platform within the financial services industry. Key Responsibilities: Design, implement, and configure Enterprise Data Management solutions to align with client and product requirements. Lead complex Enterprise Data Management projects from inception to completion, ensuring timely delivery and high-quality results. Provide expert guidance on data management best practices, with a focus on accuracy, consistency, and regulatory compliance. Develop and optimize data matching and validation rules to enhance data integrity. Configure data integration processes from various sources, ensuring smooth and efficient data flow. Troubleshoot and resolve complex data issues, delivering effective solutions to minimize impact. Collaborate with cross-functional teams to ensure successful project delivery and alignment with business goals. Develop use cases, requirements, and user stories for product development. Mentor junior team members on Enterprise Data Management best practices and methodologies, promoting a culture of continuous learning and improvement. Work with Product Business Analysts and Project Managers to deliver on product requirements and implement client feedback. Establish key metrics to measure product success and propose new features that enhance the implementation process and improve efficiency. Contribute to an environment that encourages innovation, high productivity, and high quality. Work closely with UX processes and the UX team to conceptualize and visualize features to be delivered. Engage frequently with the development team to ensure alignment and effective communication throughout the project lifecycle. What We re Looking For: Minimum of 6 years of hands-on experience in configuring and implementing Enterprise Data Management solutions or similar platforms, with a deep understanding of financial data and capital markets processes. Strong technical background in software development and platform architecture, with proficiency in SQL and database management. Demonstrated leadership in shaping and delivering product strategies through close collaboration with various stakeholders, including Product, Commercial, Project Managers, and QA engineers. Expertise in agile methodologies and project management, with hands-on experience using tools like Azure DevOps and Confluence. Experience with multi-cloud deployments, particularly on AWS and Azure. In-depth knowledge of regulatory requirements in financial services, including ESG, Security, Party, Price, and Ratings Master. Certifications in data management or relevant technologies are highly desirable. Comfortable working closely with UX teams, contributing to the conceptualization and visualization of product features. Proven ability to lead and manage project teams across diverse geographies, juggling multiple priorities and meeting tight deadlines. Exceptional communication, negotiation, and interpersonal skills, with a proven track record of influencing cross-functional teams and delivering results without formal authority. Strong background in data governance and quality management, with familiarity with key market data providers such as Bloomberg, Reuters, and SIX. Excellent problem-solving abilities and a keen attention to detail, ensuring the delivery of high-quality, effective solutions to complex data challenges. Proficiency in writing clear and detailed User Stories, Use Cases, and acceptance criteria. A collaborative mindset, thriving in cross-functional teams that value innovation, productivity, and quality. Strong client-facing skills, capable of delivering successful projects and ensuring client satisfaction.
Technical Product Specialist
S&p Global
The Role As an Enterprise Data Management Technical Specialist based in Gurgaon, India, you will spearhead the design, configuration, and implementation of cutting-edge EDM solutions. You will work closely with cross-functional teams, mentor junior members, and ensure accurate and compliant data management. Reporting to Raj Ethiraj, this role is pivotal in driving business profitability through impactful product enhancements. Key Responsibilities Solution Design & Implementation: Lead the design and configuration of EDM solutions tailored to client and product requirements. Project Leadership: Manage end-to-end EDM projects, ensuring timely delivery and high-quality results. Data Integrity & Compliance: Develop and optimize data validation and matching rules to ensure data accuracy, consistency, and regulatory compliance. Integration & Troubleshooting: Configure data integration processes from diverse sources and resolve complex data issues efficiently. Cross-Functional Collaboration: Partner with Product Business Analysts, Project Managers, and development teams to align on product goals and client feedback. Mentorship: Guide junior team members, fostering a culture of continuous learning and best practices in EDM. Metrics & Innovation: Establish product success metrics, propose new features, and drive innovation in implementation processes. UX Collaboration: Work with UX teams to conceptualize and visualize product features, ensuring user-friendly designs. Qualifications Must-Have Skills: Minimum of 6 years of hands-on experience in EDM solutions or similar platforms. Proficiency in SQL, database management, and platform architecture. Strong understanding of financial data and capital markets processes. Proven leadership in product strategy and stakeholder collaboration. Experience in Agile methodologies, with tools like Azure DevOps and Confluence. Familiarity with multi-cloud deployments (AWS and Azure). Knowledge of regulatory requirements in financial services, including ESG, Security, Party, Price, and Ratings Master. Expertise in data governance and quality management. Nice-to-Have Skills: Certifications in data management or related technologies. Experience with key market data providers like Bloomberg, Reuters, and SIX. Strong problem-solving skills and attention to detail. Proficiency in writing User Stories, Use Cases, and acceptance criteria. Client-facing skills to ensure successful project delivery and satisfaction. What s in It for You? Collaborate with a global, cross-functional team. Contribute to the success of an award-winning EDM platform. Opportunity to work on cutting-edge technologies like automation, GenAI, and cloud platforms. Mentor and grow a high-performing team. Qualification : Strong background in data governance and quality management, with familiarity with key market data providers such as Bloomberg, Reuters, and SIX.
Software Engineer 2
Microsoft
Overview This is a Research Efficiency Platform team which provides leadership, direction, and accountability for Security Researchers tools and platforms, CICD, AI/ML, Virtualization and infrastructure, and secured development standards. You will help conduct business reviews and operate our production services. Strong collaboration skills will be required to work closely with other engineering teams to ensure services and systems are highly stable, performant, and meet the expectations of internal and external customers and users. We are looking for a Software Engineer to help us code and build large scale platforms, cloud services and engineering systems. You will work in collaboration with other Engineers, Researchers, Data Scientists and Architects to continue to learn and build your skill sets on how to innovate the design approach of said pipelines and services. Qualifications Qualifications Required Bachelor s degree in computer scienceor related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, SQL, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Support a 24x7 live site support model for the services the team owns. Qualifications: Other Requirements Master's Degree in Computer Scienceor related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Azure Cloud, DevOps and GitHub tooling Hands-on scripting knowledge in PowerShell Platform development experience for production environments Azure Data Explorer, Azure Data Lake, Azure Machine Learning, Azure Batch, HDI, Spark, Azure Synapse Excellent communication skills and ability to collaborate in a multi-disciplinary team consisting of Software Engineers, Program Managers, Security Researchers, and Data Scientists Development experience with cloud platforms such as Microsoft Azure Responsibilities As a Software Engineer, you would be responsible for: Design, develop,validateand implement the next generation of platform infrastructure that is highly secure, performant, resilient, modular, meets reliability targets, includes observability, and that enables next gen experiences. Take up end-to-end ownership of deliverables and produceviablesolutions. Collaborate with cross-functional teams to build scalable backend infrastructure services that deliver delightful customer experiences. Focus on building innovative user experiences and automating manual processes. Ensure the security, scalability, reliability, and performance of services in production. Activelyparticipatein code and design reviews tomaintainhigh-quality code and solutions. Write andmaintainunit tests and automated integration tests Responding to and mitigating any live site issuesimpactingcustomers Qualification : Bachelors degree in computer science or related technical field
Executive / Senior Executives - Inside Sales
Queuebuster
Position Title: Executive / Senior Executive Inside Sales (B2B) Location: Noida Employment Type: Full-Time About DPD Technologies At DPD Technologies, we are the creators of QueueBuster , a powerful Mobile POS solution built to serve businesses of all sizes from large-format retail chains to street-side kiosks. QueueBuster enables seamless management of billing, inventory, CRM, loyalty, and online orders through a single platform, anywhere and anytime. We foster a collaborative, flexible, and empowering work environment where innovation thrives and individuals grow. If you re passionate about sales and excited by the fast pace of a growing tech startup, you ll feel right at home with us. Role Overview We are seeking dynamic and driven Inside Sales Executives / Senior Executives to join our high-performing B2B sales team. In this role, you will be responsible for lead generation, client outreach, relationship management, and closing new business deals. You will be the first point of contact for potential clients and play a pivotal role in driving our growth. Key Responsibilities Manage end-to-end inside sales cycle from lead generation to closing deals. Reach out to prospective B2B clients via cold calls, emails, and follow-ups to generate interest and qualify leads. Conduct introductory calls and product demos to understand client needs and position QueueBuster as the right solution. Consistently achieve or exceed daily outreach targets (120 150 calls/day). Maintain detailed and accurate records of interactions in the CRM/database. Build and nurture strong client relationships by providing an exceptional customer experience. Clearly communicate the product s value proposition and address objections confidently. Coordinate with cross-functional teams to ensure smooth onboarding and customer satisfaction. Go the extra mile to meet sales quotas, follow up on leads, and facilitate future sales opportunities. Required Qualifications & Experience Bachelor s degree in Business, Sales, Marketing, or a related field (MBA preferred). 2+ years of experience in Inside Sales, B2B Sales, or Business Development. Proven track record of lead generation, prospecting, and closing deals. Strong understanding of the sales process, from prospecting to negotiation and closure. Excellent verbal and written communication and presentation skills. Strong interpersonal skills and ability to build rapport quickly with clients. Highly target-driven, self-motivated, and results-oriented. Strong negotiation skills and a competitive, confident approach. Comfortable working in a fast-paced startup environment with a focus on execution. Who You Are A creative thinker with a growth mindset and strong problem-solving skills. A self-starter who thrives with minimal supervision. Able to manage time effectively and handle multiple priorities. Highly data-driven, with the ability to analyze and optimize performance. Eager to take on new challenges, learn continuously, and grow rapidly within the organization. Be a part of a rapidly growing SaaS product company with a national presence. Opportunity to work with cutting-edge technology and a passionate team. Great workplace culture that fosters learning, ownership, and innovation. Performance-driven incentives and opportunities for career growth. Qualification : Bachelors degree in Business, Sales, Marketing, or a related field (MBA preferred)
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