Staffing Models Jobs in Noida

Gen AI Engineer Location: Noida Experience: 2+ years Openings: 2 Roles & Responsibilities: Build and optimize RAG (Retrieval-Augmented Generation) and Agentic AI workflows using LangChain, vector databases (Pinecone, FAISS, ChromaDB), and embedding models. Implement LLM fine-tuning, prompt chaining, and response ranking to enhance generative AI performance. Develop and evaluate retrieval mechanisms using semantic search and vector similarity techniques. Benchmark model performance using BLEU, ROUGE, METEOR, BERTScore, and other LLM evaluation metrics. Deploy AI models in production environments (AWS, GCP, Azure) with MLOps best practices for monitoring and retraining. Stay updated on the latest advancements in LLMs, transformers, and multi-agent AI architectures, applying new techniques to improve AI-driven applications. Required Skills: 2+ years of hands-on experience in Generative AI, RAG, and Agentic AI workflows, with expertise in LangChain, embedding models, and vector databases (Pinecone, FAISS, ChromaDB). Strong Python skills with experience in Hugging Face, PyTorch, TensorFlow, and scikit-learn for LLM fine-tuning and prompt engineering. Proficiency in benchmarking LLMs using BLEU, ROUGE, METEOR, and BERTScore, ensuring model quality and optimization. Experience in cloud-based deployments (AWS, GCP, Azure) and MLOps tools (MLflow, Weights & Biases, KubeFlow) for monitoring and retraining. Familiarity with containerized deployments (Docker, Kubernetes) and distributed computing (Ray, Spark) for scalable AI workloads. Strong problem-solving skills, with the ability to optimize LLM pipelines for latency, efficiency, and real-world applications.

Job Responsibilities Manage the BPO recruitment process and supervise the team of recruiters. Manage key ratios of TAT (Turnaround Time), Joining Ratio, Referral contribution, and infant attrition. Maintaining strong candidate engagement during pre-boarding to minimize pre-joining attrition. Work with business leaders to determine current and future staffing needs. Leveraging social media, job boards, Internet, and other sourcing means for available vacancies. Strengthen relationships with third-party recruitment agencies, NGOs, FOC (Free of Charge) consultants, and College Campuses to ensure their full support to meet hiring needs. Creating weekly/monthly reports to accurately reflect talent plan, status, and other reports. Prepare Recruitment trackers. Skill Requirement 5-8 years of Domestic BPO recruitment experience. Strong BPO hiring experience - Bulk hiring, mass recruitment, walk-ins, campus hiring. Good network with FOC consultants, training institutes, campuses, NGOs, and Govt. run programs. Team handling experience of a minimum 4-5 years. Strong exposure to Social Networking & Data Mapping through job portals, LinkedIn, Google, Facebook, etc. Dynamic, Confident, Good Communication skills. Solid understanding of sourcing techniques, usage of job boards/portals. Deadline-driven, with good time management to balance competing demands.

What you do Reporting to the Head of Mass Hiring & Steering, as the Regional Team Lead for Mass Hiring, you will lead the strategy and delivery of mass hiring for operational recruitment, managing a team of Recruiters across your designated region. You will collaborate with Senior Operations Leaders and Recruiters to enhance recruitment efforts, align workforce planning, meet operations requirements and allocate/ deploying recruiter resources effectively where needed. In addition, you will develop and optimize sourcing strategies to attract the right candidates for your region. Working within the wider People & Culture team you will actively contribute and collaborate with both regional/ Global HRBP team along with HR Country Leads across the respective region. You will understand the local and regional requirements strategic workforce planning, employer branding and building local market relationships (agency, universities & careers fairs) to support with sourcing strategies. In details, you will be responsible for: - Ensuring the global mass hiring recruitment approach is applied regionally, control its governance and quality - Building strong relationships, acting as a trusted advisor and strategic partner to the Senior Operations Leaders, regional and HR community - Working to understand and identifying today's and tomorrow's staffing needs; anticipating, designing and implementing recruitment strategies - Developing and deploying a variety of cost-effective sourcing channels to increase brand awareness and attraction - Leading, coaching, developing and mentoring a team of committed local recruiters in the region of your scope - Assisting to design and roll out employer branding strategies to target the current and future skills required What you bring Relevant Commercial Operations background understanding the way of working for Operations, understanding workforce planning, identify top talent and be a collaborative business partner Proven senior recruitment experience and/or experience leading a recruitment team in a call center environment preferred Experience with development at scale employer branding strategies Experience in a leadership role identifying skill gaps/ opportunities, buildinglearning pathways and managing teams performance excellence Be agile, adaptable and a champion of change with experience of multicultural environment Experience managing and working towards SLA and KPI s Excellent interpersonal skills and ability to liaise and collaborate with senior business/Functional Heads Solutions focused mindset identified solutions rather than problem. Ability to influence and show resilience navigating through demand and business requirements Excellent written and oral communication in English Our employees play an integral part in our success as a business. We appreciate that each of our employees are unique and have unique needs, ambitions and we enjoy being a part of their journey. We are there to empower and encourage you with your personal and professional development ensuring that you take control by offering a large variety of courses and targeted development programs. All that in a global environment where international mobility and career progression are encouraged. Caring for your health and wellbeing is key priority for us. This is why we build Work Well programs to providing you with peace of mind and give the flexibility in planning and arranging for a better work-life balance. 64634 | Operations | Professional | Non-Executive | Allianz Partners | Full-Time | Permanent Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation. Join us. Let's care for tomorrow.

JOB DETAILS / ROLE PURPOSE: This role consists of managing the Workforce Planning of the Finance Factory, as well as the related costs. This role is part of the People Management department of Performance Steering division, part of the Finance Factory. It implies to guarantee IT tools, develop and maintain internal controls & procedures, monitor performance of the activities in order to ensure the excellence of the operations under responsibility: Strategic Workforce planning, Recruitment and Exit and HR analytics. KEY RESPONSIBILITIES: Strategic Workforce Planning Analyze the current Finance Factory workforce. Conduct skills gap analysis. Conduct HR cost analysis, including salary, training costs, travels & expenses Anticipate future changes and requirements. Develop, implement and monitor an action plan. Recruitment and Exit Ensure replacements and new positions are timely validated. Monitor and communicate the recruitment and exit status. Monitor and report recruitment and exit statistics. Ensure the HR database is always accurate. HR analytics Ensure HR data in SuccessFactors and HR systems are accurate. Monitor and report HR analytics. PROFILE KEY REQUIREMENTS: Qualifications & Experience Strong analytical skills. Ability to synthesize. Ability to consolidate large volume of data into structured and simple outputs. Ability to arbitrate and prioritize. Ability to interact with all levels of the organization. Solutions and results oriented. Openness and flexibility to address challenges from various perspectives in order to find the best possible way to manage the challenge. Initiative: Capacity to learn. Ability to undertake initiative. Customer service: Ability to innovate and seek for advances in technology and practices. Other Skills: Excellent written and verbal communication. Networking skills: Ability to liaise with members of other functions. Ability to work and communicate with different cultures, levels and organizations world-wide. Finance: Finance Acumen HR Acumen Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation. Great to have you on board. Let's care for tomorrow.

Technical Architect Location: Noida Experience: 8+ years Role Overview We are looking for a highly skilled and self-motivated Technical Architect to design and lead the implementation of scalable and robust system architectures. You will work closely with delivery teams and customers to ensure technical solutions meet business needs, while driving quality and innovation across projects. Key Responsibilities Develop comprehensive architectural models and collaborate with delivery teams to bring them to life. Identify, assess, and mitigate technical risks throughout the project lifecycle. Lead project meetings with clients, providing technical guidance and aligning solutions with requirements. Design solution architectures that address both functional and non-functional requirements. Get hands-on with critical components, frameworks, and executable architecture to ensure robust implementations. Promote product quality through Agile practices, continuous integration, rigorous code and design reviews, and quality gating. Lead ideation, conceptualization, and prototyping of new product features and solutions. Drive innovation by developing proof of concepts (POCs) and exploring emerging technologies, especially in Cloud computing. Thrive in a dynamic, fast-paced environment with a rapidly growing customer base. Skills & Requirements Bachelor s degree or equivalent in Computer Science or related field. Minimum 8 years of experience in software development and architecture, preferably in enterprise or cloud environments. Proven expertise with Cloud technologies and modern architectural patterns. Strong analytical, organizational, and communication skills. Ability to adapt quickly to new technologies, processes, and organizational structures. Proficient in MS Office tools (Word, Excel, PowerPoint, Outlook). Self-driven, proactive, and able to work independently in a multitasking, fast-paced environment. Professional get-it-done attitude with high ethical standards. If you are passionate about architecture, innovation, and leading technical teams to deliver impactful solutions we d love to hear from you! Qualification : Bachelors degree or equivalent in Computer Science or related field

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

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

Position: Business Analyst Team Lead (Lending) Location: Noida, Uttar Pradesh Department: Analytics Lending Employment Type: Full-time About Us Paytm is India s leading mobile payments and financial services company. As a pioneer of the mobile QR payments revolution, we build cutting-edge technologies that empower small businesses through seamless payments and commerce tools. Our mission is to serve 500 million Indians and integrate them into the mainstream economy through innovation and technology. About the Team Our Lending team is rapidly growing, with increasing adoption across Paytm s financial products such as Paytm Postpaid (BNPL), merchant loans, and personal loans. This business is powered by data science and analytics, enabling intelligent, data-driven decision-making and tailored lending solutions for our users. Role Overview We are looking for a dynamic Business Analyst Team Lead to join our Lending Analytics team. In this role, you will lead data-driven initiatives, provide actionable insights, and develop analytical solutions that enhance business decision-making. You will play a key role in shaping Paytm's lending strategy by leveraging advanced analytics to solve complex problems and uncover growth opportunities. Key Responsibilities Lead analytical problem-solving for lending-related business challenges Develop and deploy machine learning models and data-driven solutions Generate business insights through in-depth data analysis and statistical modeling Collaborate with cross-functional teams including product, growth, and risk to align analytics with strategic goals Drive the adoption of analytics and showcase its impact on business performance Mentor junior analysts and help establish best practices for data-driven decision-making Requirements & Qualifications 2 6 years of experience in analytics within consulting, fintech, or BFSI domains Bachelor s or Master s degree in Statistics, Economics, Engineering, Mathematics, or a related quantitative discipline Strong hands-on experience with analytics tools such as Python/R, SQL, big data platforms, and data visualization tools Proficient in machine learning, data modeling, statistical techniques, and data management Proven ability to structure complex problems and derive strategic insights Experience building and scaling analytics functions in a business environment Excellent communication and storytelling skills with the ability to present findings to senior stakeholders Self-motivated, impact-oriented, and comfortable working in fast-paced environments Work in a collaborative, results-driven environment that emphasizes innovation and ownership Opportunity to drive real impact in one of India s fastest-growing lending businesses Improve customer engagement and maximize revenue opportunities through smart analytics Gain 360-degree feedback and support from peer teams and leadership Be part of a culture where respect is earned, and merit is recognized Qualification : Bachelors or Masters degree in Statistics, Economics, Engineering, Mathematics, or a related quantitative discipline

Position: Deputy Manager Risk Management (Fraud Analytics) Location: Noida, Uttar Pradesh Department: Analytics Risk Operations (Offline Payments) Employment Type: Full-time About Paytm Paytm is India s leading mobile payments and financial services distribution company, and the pioneer of the mobile QR payments revolution. Our mission is to serve 500 million Indians and integrate them into the formal economy through cutting-edge technology that empowers small businesses and consumers alike. About the Team The Risk Analytics team plays a critical role in safeguarding the integrity of Paytm's ecosystem. We focus on proactive fraud detection, building robust risk controls, and driving strategic decision-making through data insights. Every challenge is an opportunity here and meaningful change starts with our people. With 500+ million registered users and over 21 million merchants, Paytm offers unmatched data depth and scale. This is your opportunity to be part of India s largest digital lending transformation. If you're passionate about creating impact, building scalable risk frameworks, and working in a fast-paced fintech environment this is the place for you. Role Overview As Deputy Manager Fraud Analytics, you will be instrumental in developing and managing fraud prevention strategies across Paytm s payment platforms. You ll support real-time fraud monitoring, rule configurations, analytics, and compliance. This role works closely with stakeholders across Risk Ops, Engineering, Product, and Compliance. Key Responsibilities Develop and optimize fraud detection models using rule-based and data-driven approaches Monitor real-time transactions to identify suspicious activity; escalate issues and recommend corrective actions Configure and fine-tune rules in fraud monitoring systems to reduce false positives and improve accuracy Analyze transaction patterns and fraud trends to preemptively address vulnerabilities Collaborate with internal teams (Risk, Product, Compliance) to align fraud mitigation with business goals Support regulatory compliance and internal control projects in accordance with RBI guidelines Generate periodic reports and dashboards for senior management on fraud insights and emerging risks Assist in audit responses and handle fraud-related queries from regulatory bodies Drive continuous improvement in fraud detection tools, techniques, and operational processes Required Qualifications & Skills Bachelor s degree in Data Analytics, Risk Management, Statistics, or a related field 4 8 years of experience in fraud analytics, risk management, or payments risk in fintech or BFSI Strong knowledge of fraud detection techniques and transaction monitoring systems Experience in configuring fraud rules and analyzing fraud patterns in high-volume environments Familiarity with RBI regulatory frameworks and guidelines governing payment platforms Excellent analytical and problem-solving skills Strong verbal and written communication skills, with the ability to present insights to both technical and non-technical teams Experience working with UPI, wallets, or other real-time payment systems Preferred Skills Exposure to machine learning models for fraud detection Experience in licensed TPAP (Third Party App Provider) setups Understanding of regulatory audits, compliance standards, and fraud risk reporting in a regulated environment What You ll Get A chance to be part of India s largest digital lending story Fast-paced, high-impact role in a leading fintech organization Opportunity to create tangible value for millions of users and merchants A collaborative, meritocratic culture that rewards performance Competitive compensation and career growth potential Join us on our mission to redefine financial inclusion in India. Be a part of something transformative. Be a part of Paytm. Qualification : Bachelors degree in Data Analytics, Risk Management, Statistics, or a related field

Job Title: Performance Marketing Manager (PPC | Programmatic | Meta Ads) Company: eMaven Solutions Location: Noida Experience: 3 5 Years Employment Type: Full-Time About the Role: eMaven Solutions is looking for a Performance Marketing Manager to lead data-driven digital advertising campaigns across Google Marketing Platform, Facebook/Meta, LinkedIn, and Twitter. This role is ideal for a tech-savvy, results-oriented marketer with hands-on experience managing large-scale, ROI-focused campaigns for global clients. Key Responsibilities: Plan, execute, and optimize high-budget PPC, programmatic, and Meta (Facebook, Instagram) ad campaigns. Manage Google Ads, Bing Ads, Facebook Business Manager, and other paid platforms. Analyze campaign data, conduct audience segmentation, keyword research, and competitive benchmarking. Collaborate with creative teams to produce high-performing ad copy, creatives, and landing pages. Run A/B tests to refine messaging, targeting, and bid strategies. Track performance using Google Analytics, GTM, and attribution models. Coordinate with product, design, and content teams for integrated marketing efforts. Stay updated with ad tech trends, platform changes, and industry best practices. Qualifications: Bachelor s degree in Engineering, Marketing, or Business. 3 5 years of digital marketing experience (PPC, programmatic, Meta ads). Proven success managing global paid media campaigns across platforms. Strong proficiency in Google Ads, Meta Ads Manager, Google Tag Manager, Zapier, and analytics tools. Excellent data interpretation, reporting, and communication skills. Google Ads and Facebook Blueprint certifications are a plus. What s on Offer: Competitive salary & benefits. Flexible hours & remote work options. A growth-focused, collaborative team environment. Opportunities for professional development and leadership. Qualification : Bachelors degree in Engineering, Marketing, or Business.

Adobe Analytics Sr. Consultant Location: Noida, India Company: Adobe Employment Type: Full-time About Adobe At Adobe, we change the world through digital experiences. From global brands to individual creatives, we equip everyone with the tools to design and deliver exceptional customer experiences. Our inclusive culture values innovation, collaboration, and the next big idea maybe yours. The Opportunity As an Adobe Analytics Senior Consultant, you'll act as a strategic advisor to Adobe customers, helping them leverage Adobe Analytics to drive meaningful business outcomes. This client-facing role requires a unique blend of technical expertise, business insight, and strong communication skills. You ll guide customers and implementation partners through analytics strategy, solution design, implementation, and optimization, enabling them to progress along their digital maturity journey. What You ll Do Lead and manage multiple client engagements concurrently. Serve as the primary point of contact for clients and implementation partners. Deliver technical and strategic consulting to optimize Adobe Analytics implementation and use. Develop deep understanding of client business models, KPIs, and digital strategy. Provide solution design guidance and review technical documentation. Perform implementation audits and troubleshooting to ensure best-in-class quality. Share recommendations, industry best practices, and maturity roadmaps tailored to each client. Facilitate enablement and upskilling sessions with client teams. Collaborate closely with Adobe internal teams (engineering, product, support) to drive success. Create technical documentation, client reports, and presentations. Contribute to thought leadership and act as a recognized SME within Adobe and with clients. What You Need to Succeed 6 10 years of experience in digital analytics, data strategy, or web analytics. Strong hands-on experience with Adobe Analytics (Adobe Experience Cloud) implementation and architecture. Familiarity with JavaScript, HTML, tag management systems (e.g., Adobe Launch, Tealium, GTM), and web architecture. Strong understanding of digital marketing and analytics use cases (segmentation, funnels, attribution, etc.). Proven experience working directly with clients and cross-functional teams. Ability to translate complex technical concepts into actionable business recommendations. Excellent communication, presentation, and stakeholder management skills. Experience in consulting, solution design, or digital strategy roles preferred. Bachelor s or Master s degree in Computer Science, Marketing Analytics, or a related field. Be part of a global leader in digital experience innovation Work with the world s top brands and digital experts Enjoy a collaborative, inclusive, and forward-thinking culture Gain access to industry-defining tools and a clear career path Qualification : Bachelors or Masters degree in Computer Science, Marketing Analytics, or a related field.

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.

AI/ML Engineer Noida 2+ Years Experience Full-Time Location: Noida Experience Level: Minimum 2 years Employment Type: Full-Time Open Positions: 2 Job Overview: We are seeking a highly skilled and motivated AI/ML Engineer to join our dynamic technology team in Noida or Indore. If you have a passion for artificial intelligence, deep learning, and machine learning systems, and are excited to work on cutting-edge projects, we want to hear from you. Key Responsibilities: Develop and implement end-to-end machine learning solutions, including proof of concepts (POCs). Design, build, train, and optimize machine learning models for various business use cases. Research and evaluate the latest ML algorithms, frameworks, and tools. Work closely with software engineering teams to deploy AI models in production environments. Required Qualifications and Skills: Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. At least 2 years of hands-on experience in machine learning or data science roles. Strong programming skills in Python, with experience in libraries like TensorFlow, PyTorch, or similar ML frameworks. Proficiency with cloud-based AI platforms (such as AWS SageMaker, Google AI, or Azure ML). Familiarity with Docker, Kubernetes, and modern deployment pipelines. Opportunity to work on impactful, large-scale AI/ML projects. Flexible work locations Noida or Indore. Collaborative work culture with growth and learning opportunities. Apply now and shape the future with intelligent technology. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Job Title: City Head Hyperlocal Quick Commerce (Noida) Location: Noida Company: Loadshare Networks About Loadshare Networks: Loadshare Networks is a tech-driven logistics company redefining how goods move across India. Since our founding in 2017, we ve grown rapidly into a Series C startup, backed by top-tier investors such as Tiger Global, Matrix Partners, Stellaris, and CDC. Our asset-light, integrated platform powers end-to-end logistics for India's largest brands, managing over 500,000 shipments daily. We offer a broad range of services from intra-city deliveries for food, e-commerce, and quick commerce to intercity trucking, linehaul, and warehousing. Role Overview: We re looking for a strategic and execution-focused City Head to lead our Hyperlocal - Quick Commerce operations in Noida. This role involves managing last-mile operations for over 50 Quick Commerce stores and scaling a major client s business by 20X within a year. Prior experience overseeing 20+ QC stores in a metro like Bangalore is essential. Key Responsibilities: Oversee end-to-end last-mile operations for 50+ Quick Commerce stores in Noida. Build, lead, and mentor a high-performing city operations team. Design, optimize, and enforce SOPs for hyperlocal logistics and deliveries. Monitor operational KPIs and drive data-led process improvements. Ensure adherence to safety protocols and regulatory compliance. Partner closely with the client to scale operations rapidly and sustainably. Qualifications & Skills: Bachelor s degree required; MBA or advanced degree is a plus. 7+ years of experience managing last-mile logistics, especially in grocery or quick commerce. Demonstrated success in leading city-scale operations and P&L ownership. Deep knowledge of hyperlocal delivery models and supply chain best practices. Strong analytical mindset with experience in using logistics and BI tools. Excellent leadership, communication, and stakeholder management skills. Comfortable working in a fast-paced, high-growth startup environment. Qualification : Bachelors degree required; MBA or advanced degree is a plus.

Job Responsibilities Drive sales growth and team development through the creation of Enterprise strategy, sales management and strategic leadership. Develop and execute business development strategy and plan - both short and long term. Steer the organization through early opportunity identification & management, account & partnership engagement, project level engagement & execution. Responsible for company sales targets, growth in profits and expansion of markets revenue generation from Enterprise Sales vertical. Competitively engage with all the business touch points including engaging with powerful strategic Enterprise departments, agencies and large business aggregators. Put in place Strategies and plans to ensure 100% presence across all emerging business opportunities within the identified business verticals & also ensure that the company emerges Competitive and winning positions. Apply both strategic go-to-market models and more tactical approaches aimed at growing profitable Enterprise engagements and revenue base. Interact with all functional heads of the client company to understand their business processes / complexities for mapping appropriate IT solutions. Build a cohesive, productive team, leverage individual skills and collective talents for making winning proposals and associated business development efforts. Mentoring, designing sales training and incentive programs. Manage the sales teams for effective market penetration and revenue generation. Co-ordinate, lead, motivate and mobilise the company s Sales, Pre Sales, Marketing and Delivery teams. Skill Requirement Bachelor's or Master s degree in Engineering, IT, marketing, business, or a related field, preferably from premiere institute. 10+ years of experience in IT Sales- Enterprise Vertical dealing in IT SOLUTIONS comprising Software, Hardware, Networking, Security, Cloud, Data center. Must be Well connected with OEMs in Server Storage, Networking, Security and Cloud Domain. Must have Technical Understanding of Technology, IT products, Cloud, Data Center, SI, Web Hosting, cloud migrations, deployment. Proven hands-on experience on any cloud platform GCP, AWS, AZURE, IBM, ORACLE. Deep understanding of Cloud Technologies (Cloud computing services). Passion for growing businesses. Excellent team handling and mentoring skill. Excellent communication skills. Strong decision-making and problem solving skills. Qualification : Bachelor's or Masters degree in Engineering, IT, marketing, business, or a related field, preferably from premiere institute.

Our Company At Adobe, we re transforming the world through digital experiences. We provide everyone from emerging artists to global brands with everything they need to design and deliver exceptional digital experiences. We re passionate about empowering people to create beautiful and powerful images, videos, and apps, and revolutionizing how companies interact with customers across every screen. We re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has equal access to opportunity. We know that new ideas can come from anywhere in the organization, and the next big idea could be yours! Excited by AI/ML? Interested in creating innovative solutions using Machine Learning? Join the Document Cloud team in Noida, where we are building PDF solutions across Web, Mobile, Desktop, and Platform APIs. We process billions of PDFs every month, leveraging ML, Deep Learning, and Generative AI at the core. We are looking for experienced individuals who are passionate about researching and developing methods for processing vast amounts of content, and are able to build mashups of Vision, Image Processing, NLP, and Generative Models to solve complex problems. What you get to do in this role: Develop algorithms that apply deep learning and state-of-the-art methods in NLP and computer vision, alongside traditional large-scale, sophisticated solutions/codebases. Design and create experiments, algorithms, and solutions that achieve high accuracy while ensuring they are engineered to scale. Collaborate across multiple research and engineering disciplines to make the tradeoffs necessary to rapidly deliver AI/ML software solutions. Build robust, efficient, and reusable code in Python. Experience with C++ is preferred. In order to be successful, we need someone who has: B.Tech in Computer Science. MS/PhD is preferred. 3+ years of hands-on experience in deep learning, image processing, vision, and/or NLP. Proficiency in writing efficient, clean, and reusable code, with expertise in Python. Knowledge of C++ is a plus. Broad machine learning experience including data modeling, metrics, and result analysis. Experience working with TensorFlow or PyTorch. Exposure to Deep Learning techniques like CNNs, LSTMs, Transformers, network architecture, network tuning, transfer learning, and multi-task learning. Experience in building solutions from scratch and maintaining large codebases. Strong software development skills that promote code reuse across engineering and research teams. Experience building AI applications for multiple locales is a plus. Pure Innovation: We celebrate those who think critically, take on challenges, and aspire to lead the way. Pure Growth: We offer the space and support you need to grow and contribute meaningfully to something groundbreaking. Pure Team: We believe in building each other up and working collaboratively toward shared goals. Adobe is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on gender, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by law. Qualification : B.Tech in Computer Science. MS/PhD preferred.

Job Title: Robot AI Researcher Advanced Robotics Location: Noida Role Overview As a Robot AI Researcher, you will develop and deploy advanced AI algorithms for robotic systems, focusing on vision, perception, and motion planning. You will collaborate with cross-functional teams to optimize AI models and integrate them into real-world robotic applications. This role is part of the Advanced Robotics team, working on innovative projects like Collaborative Robots, Quadrupeds (Trakr), Remote Ultrasound Solutions, and Bi-Ped Robots all aimed at shaping the future of robotics. Key Responsibilities Design and implement AI algorithms for robotic systems, focusing on computer vision, perception, motion planning, and reinforcement learning. Develop and deploy machine learning and deep learning models (e.g., CNNs, RNNs, GANs) for applications like object recognition, path planning, and autonomous decision-making. Enhance RL/IL processes to improve sample efficiency, learning speed, and scalability. Apply reinforcement learning techniques to optimize robotic behaviors such as navigation, manipulation, and task execution. Train multimodal robot foundation models using large-scale datasets. Optimize AI models for real-time performance and deployment on robotic platforms. Use data augmentation and simulation techniques to improve model robustness. Leverage CUDA programming for GPU acceleration to enhance model training and deployment speed. Test AI-driven robotic prototypes in real-world scenarios and refine models based on performance analysis. Collaborate with hardware engineers, roboticists, and software developers to integrate AI into fully functional robotic systems. Education & Experience PhD or Master s degree in Robotics, Computer Science, Computer Vision, Artificial Intelligence, or related fields. 2 to 5 years of experience in AI research and development for robotic systems. Technical Skills Proficiency in Python, C++, and CUDA for AI development and optimization. Experience with AI frameworks and libraries like TensorFlow, PyTorch, OpenCV, and scikit-learn. Strong knowledge of reinforcement learning, deep learning, and general machine learning techniques. Familiarity with Foundation Models, Physical AI, and Visual Language Action (VLA) Models is preferred. Knowledge of robotic sensors (LiDAR, cameras, IMUs) and Robot Operating System (ROS). Hands-on experience developing real-time AI algorithms for robotic platforms. Ability to handle large datasets, perform thorough model evaluation, and optimize for computational efficiency and real-time processing. Qualification : PhD or Masters degree in Robotics, Computer Science, Computer Vision, Artificial Intelligence, or related fields.

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

Job Information: Work Experience: 4-5 years Industry: IT Services Job Type: FULL TIME Location: Mohali/Noida/Bangalore Overview: We are seeking a dynamic and skilled DevOps Professional to lead and contribute to cutting-edge projects focusing on multi-tenant SaaS architecture, Kubernetes-based microservices, and cloud-native solutions. The role will include designing scalable infrastructure, automating deployment pipelines, and improving performance and efficiency while ensuring compatibility with modern cloud technologies. Key Responsibilities: Infrastructure Design and Automation Architect, implement and maintain a multi-tenant SaaS solution leveraging Kubernetes namespaces and container orchestration tools. Develop and optimize CI/CD pipelines using tools like Jenkins, and GitHub Actions. Transition legacy applications to cloud-native, containerized microservices architectures. Scalability and Auto-Scaling Design and implement auto-scaling solutions using Kubernetes tools like Karpenter or EKS Managed Node Groups. Monitor and enhance system performance by analyzing resource utilization and scalability. Database and Application Management Work with multi-schema databases (MySQL, PostgreSQL, Oracle) to support shared hardware architecture. Ensure seamless tenant onboarding using dynamic namespace configuration and environment variables. Cloud Platform Expertise Use AWS services and tools effectively. Prepare architecture for AWS Marketplace using best practices in cloud hosting and deployment. Collaboration and Documentation Participate in workshops for product understanding and scope definition with stakeholders. Maintain detailed documentation of designs, deployment models, and architectural enhancements. AWS Well-Architected & FTR Compliance Hands-on experience conducting AWS Foundational Technical Reviews (FTR) for AWS Marketplace listings. Strong understanding of AWS Well-Architected Framework best practices, including security, reliability, and operational excellence. Proficiency in IAM, encryption, logging, monitoring, disaster recovery (DR), and cost optimization strategies required for FTR compliance. Ability to implement AWS security controls, perform self-assessments, and ensure AWS Marketplace solutions meet AWS guidelines. Technical Requirements: Must-Have Skills Strong expertise in Kubernetes. Hands-on experience with Infrastructure as Code tools like Terraform. Proficiency in CI/CD pipelines and automation. Knowledge of multi-tenant architectures and namespace-based service segregation. Experience with SaaS deployments on cloud platforms like AWS. Preferred Skills Familiarity with databases such as MySQL, PostgreSQL, and Oracle, and expertise in multi-schema configurations. Experience with auto-scaling and dynamic resource allocation. Knowledge of microservices architectures. Exposure to AI/ML-powered infrastructure enhancements for predictive scaling and optimization. Soft Skills Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Proactive and detail-oriented approach to project management. Qualifications Bachelor s degree in Computer Science, Engineering, or related field. Certifications in AWS (Solutions Architect or DevOps Engineer) and Kubernetes (CKA or CKAD) are highly desirable. Expectations, but not limited to: Transition monolithic applications to a multi-tenant, containerized architecture with a focus on efficiency and cost-effectiveness. Implement auto scaling solutions to support dynamic workloads in telecom and SaaS industries. Contribute to phase-based deployments with a clear roadmap, focusing on shared and pooled deployment models. Qualification : Bachelors degree in Computer Science, Engineering, or related field.

Job Description: The candidate will be responsible for valuating companies and assisting clients in raising capital. This includes effective underwriting, analyzing, and closing finance deals. Strong quantitative skills, sound judgment, and familiarity with underwriting procedures and regulations are essential. Excellent communication skills and adaptability to a dynamic environment are key. Role Description: Develop financial models to value debt and equity for mergers, acquisitions, and capital raising transactions. Perform various valuation methods: Comparable Companies Analysis (CCA), Precedent Transactions, and Discounted Cash Flow (DCF). Provide recommendations for product offerings, private equity transactions, mergers & acquisitions, and valuations. Prepare and review investment memoranda, management presentations, and pitchbooks. Build and maintain strong relationships with new and existing clients to expand business opportunities. Conduct due diligence, research, analysis, and documentation for live transactions. Create and deliver client presentations and portfolios. Stay updated on current events and critical market issues. Issue debt and sell equity to raise capital. Assist with corporate restructuring, IPOs, and private equity placements. Analyze risk and provide financial advice. Skills & Requirements: Strong financial modeling skills and working knowledge of deal structuring and closing principles. Proven proficiency in Microsoft Office, especially Excel and VBA. Excellent research, quantitative, and analytical skills. Strong communication, networking, and organizational skills. Ability to work in a fast-paced, team-based environment with minimal supervision. Salary: As per industry standards Location: Noida / Mumbai Qualification: Graduation / Post-Graduation in Accounts, Economics, or Finance CA, CFA, MBA (Finance) Experience: 4 5 years of relevant experience Qualification : Graduation / Post-Graduation in Accounts, Economics, or Finance