Bias Detection 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 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

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.

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

Position: General Manager Operations Excellence (Strategy & Transformation) Location: Noida, Uttar Pradesh Department: Merchant Operations Employment Type: Full-time About Paytm Paytm is India s leading mobile payments and financial services distribution company. As the pioneer of mobile QR payments, we build innovative technologies that empower millions of small businesses with seamless payment and commerce solutions. Our mission is to bring half a billion Indians into the mainstream economy through the power of technology. About the Role We are seeking a dynamic and experienced leader to spearhead operational excellence initiatives across our merchant ecosystem. As General Manager Operations Excellence, you will own the end-to-end strategy and execution of merchant onboarding, engagement, and support. You will also lead the lifecycle management of our Field Sales Executives (FSEs), ensuring performance, productivity, and retention are optimized. This is a high-impact role that requires a strategic thinker with a hands-on approach and a deep understanding of field operations. Key Responsibilities Merchant Lifecycle Management Develop and execute scalable processes to onboard, support, and retain merchants across regions. FSE Strategy & Execution Lead the hiring, training, and performance management of Field Sales Executives. Drive initiatives that improve field productivity, reduce attrition, and enhance merchant experience. Operational Excellence & Process Innovation Identify bottlenecks in field operations and implement practical solutions by collaborating with cross-functional teams (product, tech, legal, and more). Performance Analytics Build systems to track KPIs for FSEs and merchant operations. Leverage data to generate insights, implement feedback loops, and continuously improve team performance. Field Sales Leadership Foster a culture of accountability and operational discipline. Share and implement field best practices across teams and regions. Strategic Roadmapping Drive planning and execution aligned with company goals. Own outcomes with a strong focus on business impact. Communication & Reporting Maintain clear, structured communication with internal stakeholders and leadership. Deliver regular updates, reports, and recommendations. Experience: 10+ years of experience in merchant operations, field sales, business operations, or consulting Proven track record of leading and scaling field operations in high-growth environments (fintech, e-commerce, or retail preferred) Skills & Attributes: Strong operational and analytical skills Excellent leadership, communication, and stakeholder management Strategic thinker with an execution-first mindset Ability to navigate ambiguity and work independently High bias for action and results Educational Background: MBA or equivalent postgraduate degree preferred Work in a merit-driven, fast-paced fintech environment with a wide canvas for growth and innovation Be a part of a mission-driven company that is transforming digital commerce at scale Collaborate with top talent across domains in an agile, flat, and inclusive organizational culture Opportunity to drive large-scale impact across 500M+ users and 21M+ merchants Qualification : MBA or equivalent postgraduate degree preferred

Position Title: Logistics Engineer Wind Power Projects Department: Project Logistics / Supply Chain Industry: Renewable Energy (Wind / Solar) Experience: 4 5 Years Location: Noida Role Overview We are seeking a highly motivated and detail-oriented Logistics Engineer to lead and optimize logistics operations for Wind Power Projects with a core focus on customs clearance, transport coordination, and oversized cargo handling. This role is critical in ensuring the timely, cost-effective, and compliant movement of wind turbine components or solar equipment from global and domestic suppliers to remote project sites across India. The ideal candidate will bring strong experience in logistics planning, international trade documentation, vendor management, and large equipment transport, preferably within the renewable energy sector. Key Responsibilities End-to-End Logistics Management Oversee logistics for wind or solar project components including blades, nacelles, towers, modules, inverters, and Balance of System (BOS) equipment. Ensure seamless integration across freight, customs, transport, and site delivery. Customs Clearance & Regulatory Compliance Handle full customs clearance process with documentation for imports/exports, including invoice, packing list, Bill of Lading (BL), Certificate of Origin (COO), EPCG, LC, etc. Ensure adherence to India s customs regulations, EPCG schemes, and foreign trade policies. Stakeholder & Vendor Coordination Liaise with freight forwarders, shipping lines, customs agents, port authorities, and internal supply chain/project teams. Coordinate with domestic and international vendors for dispatch planning, shipping, and delivery schedules. Route Survey & Transport Planning Conduct route surveys for oversized components, especially wind turbine parts. Plan and monitor specialized transportation including trailers, cranes, and handling equipment. Schedule, Cost & Risk Management Track shipping milestones, proactively resolve logistics issues (delays, damages, detentions). Monitor and analyze logistics costs, and suggest cost optimization strategies. Support inventory planning and site coordination for unloading and storage. Compliance & Safety Ensure logistics operations adhere to statutory, safety, and environmental regulations during transit and handling. Support logistics audits and documentation control. Key Skills & Competencies Expertise in Customs Handling: Strong understanding of import/export laws, duty structures, EPCG schemes, and port operations. Oversized Cargo Logistics: Experience with heavy transport logistics for wind turbine components or similar equipment. Technical & Communication Skills: Strong coordination abilities with cross-functional teams and external vendors. Tools & Systems: Proficiency in MS Excel, SAP/ERP systems, and logistics tracking software. Qualifications B.E./B.Tech in Mechanical, Electrical, Industrial Engineering, or a related field. 4 5 years of relevant experience in logistics within the Renewable Energy sector (Wind or Solar projects preferred). Certification in International Logistics or Supply Chain Management (SCM) is an added advantage. Work on cutting-edge renewable energy projects that shape India's clean energy future. Collaborate with global suppliers and leading project execution teams. Gain exposure to complex logistics challenges in large-scale wind/solar infrastructure deployment. Qualification : B.E./B.Tech in Mechanical, Electrical, Industrial Engineering, or a related field

Electrical Lead / Engineer Location: Noida Experience: 5 20 Years Industry: Chemical Process | Oil & Gas | Refinery | Petrochemical | Fertilizer Employment Type: Full-Time Role Overview: We are seeking an experienced Electrical Lead / Engineer to join our project engineering team in Noida. The ideal candidate will have a solid background in the detailed engineering and design of electrical systems for large-scale industrial projects in sectors such as oil & gas, refineries, petrochemicals, and fertilizers. This role requires expertise in electrical design software, strong technical evaluation skills, and experience delivering engineering deliverables in line with project and client requirements. Key Responsibilities: Electrical System Design Translate project and client requirements into detailed electrical system designs. Develop electrical load lists, single line diagrams (SLDs), schematic diagrams, cable schedules, and material take-offs (MTOs) using SmartPlant Electrical or equivalent tools. Engineering Deliverables Execute detailed engineering for electrical systems including power distribution, lighting, earthing, and instrumentation power supply. Prepare engineering documentation in compliance with relevant codes and client specifications. Technical Evaluation Review vendor bids and perform technical bid evaluations (TBE). Provide technical support during procurement and coordinate with suppliers as required. Project Execution Support Collaborate with cross-functional teams including civil, mechanical, instrumentation, and procurement to ensure integrated project delivery. Participate in design reviews, client meetings, and vendor discussions. Required Skills & Qualifications: Bachelor s degree in Electrical Engineering 5 20 years of experience in electrical design for process plants or similar environments Proficient in SmartPlant Electrical, AutoCAD, and other relevant engineering tools Solid understanding of industry standards and codes (e.g., IEC, IEEE, NEC, IS standards) Strong analytical, documentation, and communication skills Prior experience in EPC projects is highly desirable Preferred Industry Background: Engineering or EPC firms in: Oil & Gas Refinery Petrochemical Fertilizer Chemical Process Industries If you're a detail-oriented electrical engineering professional with a passion for designing reliable, code-compliant electrical systems for complex industrial facilities, we encourage you to apply. Qualification : Bachelors degree in Electrical Engineering

Assistant Manager Finance & Accounts Location: Noida Experience: 3 7 Years Education: CA Final (Accounts Specialization) Job Summary: We are seeking a proactive and detail-oriented Assistant Manager Finance & Accounts to join our team in Noida. This role focuses on Financial Planning and Analysis (FP&A) and involves preparing key financial reports, driving profitability analysis, managing receivables, and supporting business planning efforts. The ideal candidate should be in the final stage of CA qualification and bring strong analytical skills, Excel expertise, and SAP experience. Key Responsibilities: 1. Financial Reporting & Analysis: Prepare and present Monthly MIS reports in the required format. Perform detailed variance analysis (Budget vs. Actuals) and provide actionable insights. Allocate overheads and common costs to prepare segmented Profit & Loss statements. 2. Profitability & Planning: Conduct Customer/Program/Project-wise profitability analysis. Support in creating the Annual Operating Plan (AOP) and long-term business plans. Prepare segment-wise financial projections based on evolving business scenarios. 3. Accounts Receivable Management: Oversee invoice creation, collection mapping, and balance reconciliations. Generate and maintain fortnightly ageing reports to track receivables performance. 4. Bid & Proposal Support: Collaborate with business teams to evaluate bids from a financial perspective. Vet bid cost sheets, study RFPs, and arrange required certificates from banks, Chartered Accountants, or Cost Auditors. Required Skills & Competencies: Functional Skills: Strong command over MS Excel for financial modeling and analysis Hands-on experience working with SAP Solid understanding of accounting standards and financial processes Analytical thinking and attention to detail Ability to handle multiple priorities in a fast-paced environment Qualification : CA Final (Accounts Specialization)