Senior Sr Machine Learning Engineer Monetization Engineering in India

The Construction Planning Senior Team Member is responsible for developing and managing EPC schedules at various levels (L2, L3, L4) to ensure project alignment with scope and timelines. This role involves conducting risk and delay analyses, creating and managing S-Curves, and preparing various management reports, including Daily, Weekly, and Monthly Progress Reports. They perform earned value and variance analyses to track performance and forecast trends, update the Risk Register and Change Log, and prepare project closeout reports. Additionally, they manage resource allocation and procurement logistics, coordinate with contractors and stakeholders, and support the execution team. By mentoring their team and ensuring effective planning and reporting, the Senior Team Member contributes to successful project execution and timely delivery. Source: Adani Group | Job ID: 49533

The Construction Civil Senior Team Member assists the Construction Civil Lead in executing and managing civil infrastructure projects, ensuring the successful planning, coordination, and completion of civil works. This role focuses on overseeing the quality and timely delivery of civil infrastructure, supporting internal teams, managing vendor relationships, and ensuring compliance with safety and quality standards. The Senior Team Member plays a critical role in aligning civil execution with overall project objectives and addressing any challenges to facilitate seamless project progress. Source: Adani Group | Job ID: 56564

Opportunity Overview: We’re looking for a senior-level automation engineer who will help raise the bar on release quality, environment reliability, and change safety across Cohere’s platform. You’ll partner closely with Product, Engineering, Platform, and SRE to build scalable automation, guardrails, and validation systems that reduce production risk while increasing delivery velocity. This is not a “test scripts only” role. You’ll shape automation strategy, embed quality into the SDLC, and help define how changes move safely from dev → staging → UAT → prod in a fast-moving healthcare platform. You’ll help define how quality scales as Cohere grows. This role has real influence over release safety, platform reliability, and how engineering teams ship software in a regulated, high-impact domain. You won’t just test features — you’ll shape how Cohere delivers them safely to production. What you’ll do: Own and evolve Cohere’s end-to-end test automation strategy across UI, API, config changes, and critical workflows Design and maintain scalable E2E automation frameworks for multi-tenant, payer-specific workflows Build automated validation for deployment guardrails, release readiness, and production change safety Partner with Platform/DevOps to integrate automation into CI/CD pipelines and deployment workflows Create automated coverage for high-risk paths (authorization flows, partner integrations, file pipelines, feature flags, config changes) Drive test reliability, flake reduction, and actionable failure signals Define and enforce quality gates for prod releases, blue/green and canary deployments, and config changes Collaborate with Product and Engineering to ensure business outcomes are testable, measurable, and observable Improve test data management and environment stability to enable reliable automation at scale Mentor engineers on testability, automation best practices, and quality-first development Partner with SRE and Security to ensure production readines

Opportunity Overview: We’re looking for a senior-level automation engineer who will help raise the bar on release quality, environment reliability, and change safety across Cohere’s platform. You’ll partner closely with Product, Engineering, Platform, and SRE to build scalable automation, guardrails, and validation systems that reduce production risk while increasing delivery velocity. This is not a “test scripts only” role. You’ll shape automation strategy, embed quality into the SDLC, and help define how changes move safely from dev → staging → UAT → prod in a fast-moving healthcare platform. You’ll help define how quality scales as Cohere grows. This role has real influence over release safety, platform reliability, and how engineering teams ship software in a regulated, high-impact domain. You won’t just test features — you’ll shape how Cohere delivers them safely to production. What you’ll do: Own and evolve Cohere’s end-to-end test automation strategy across UI, API, config changes, and critical workflows Design and maintain scalable E2E automation frameworks for multi-tenant, payer-specific workflows Build automated validation for deployment guardrails, release readiness, and production change safety Partner with Platform/DevOps to integrate automation into CI/CD pipelines and deployment workflows Create automated coverage for high-risk paths (authorization flows, partner integrations, file pipelines, feature flags, config changes) Drive test reliability, flake reduction, and actionable failure signals Define and enforce quality gates for prod releases, blue/green and canary deployments, and config changes Collaborate with Product and Engineering to ensure business outcomes are testable, measurable, and observable Improve test data management and environment stability to enable reliable automation at scale Mentor engineers on testability, automation best practices, and quality-first development Partner with SRE and Security to ensure production readines

We are looking for an experienced Senior Manager - Data Loss Prevention (DLP) - to join us! As a Senior Manager, you will work as a part of our Cyber Security team, and you will collaborate with other IT professionals to ensure that sensitive data is protected from unauthorized access misuse, and breaches. Your role will also cover Data Security Posture Management (DSPM), disk encryption controls, discovery and classification technologies, and Database Activity Monitoring (DAM) solutions. Source: Adani Group | Job ID: 57062

The BU CISO is a senior leadership role responsible for overseeing the cybersecurity posture, strategy, and risk management within a specific business unit (BU) of the organization. This role will ensure that cybersecurity initiatives are aligned with the strategic goals of the business unit, while maintaining overall compliance with corporate security standards, policies, and regulatory requirements. The BU CISO will work closely with business unit leaders, IT, legal, and compliance teams to create and implement robust cybersecurity frameworks, address emerging risks, and safeguard the organization’s critical assets. Source: Adani Group | Job ID: 56131

We are seeking an experienced Senior Structural Engineer to lead the civil and structural design of RCC and structural steel projects across industrial and township developments. The role requires strong expertise in analysis, design review, tender engineering, multidisciplinary coordination, and site support, with a focus on safety, quality, compliance, and cost optimization Source: Adani Group | Job ID: 51874

Role Overview We are looking for a senior, externally-facing executive professional to build, scale, and manage jeweler partnerships for Paytm Gold, with a specific focus on enabling digital gold redemption at jewellery outlets. This role owns end-to-end jeweller relationships—from onboarding and commercial structuring to operational rollout and ongoing partner success. The role requires deep jewellery industry experience, strong stakeholder management, and the ability to work across legal, product, operations, and compliance teams to build scalable partnerships. Key Responsibilities • Own and manage strategic relationships with regional and national jewellery partners • Identify, onboard, and scale jeweller partners for Paytm Gold redemption • Act as the primary relationship owner for senior leadership at partner organisations • Drive end-to-end enablement of Paytm Gold redemption at jeweller outlets • Define redemption flows covering commercials, operations, settlements, reconciliation, and customer experience • Lead partnership discussions on commercials, incentives, revenue sharing, and operational SLAs • Work closely with legal and compliance teams to structure regulatorily sound partnership agreements • Act as the bridge between jewellers and internal teams including product, operations, finance, risk, and compliance • Manage escalations and resolve partner issues efficiently • Set up governance mechanisms for partner performance and periodic reviews • Build and own MIS dashboards tracking redemption volumes, partner-wise performance, and operational metrics • Track jewellery industry trends, competitor models, and regulatory developments and share insights with leadership Candidate Profile Experience • 10–16 years of experience (flexible for the right candidate) • Mandatory prior experience working with jewellers, jewellery retail chains, bullion firms, or gold trading businesses • Proven experience in partnerships, alliances, or business development roles

Role Overview: The Procurement Manager / Senior Manager will be responsible for strategic sourcing, vendor management, contract negotiations, and procurement operations across Administration, Human Resources, and Insurance categories. The role is responsible for delivering cost efficiencies, ensuring service quality, managing supplier risks, and supporting business objectives through effective procurement practices and stakeholder engagement. Key Responsibilities: 1. Procurement & Category Management  Lead procurement for Admin, HR, offsite events, travel, Insurance etc.  Drive sourcing strategies, vendor selection, and commercial negotiations.  Ensure timely PR-to-PO cycle management and adherence to procurement policies. 2. E-Auction & Strategic Sourcing  Plan and execute e-auctions/RFQs to drive competitive pricing and transparency.  Identify suitable categories for e-auctions and maximize cost savings.  Analyze bid data and finalize vendors based on techno-commercial evaluation. 3. Vendor Management & Development  Identify, evaluate, and onboard new vendors.  Maintain strong vendor relationships and monitor performance (SLAs/KPIs).  Drive competitive bidding and cost benchmarking across categories. 4. Commercial & Contract Management  Lead commercial negotiations to achieve cost savings and value optimization.  Draft, review, and finalize contracts/agreements in coordination with legal teams.  Ensure compliance with organizational policies and audit requirements. 5. Stakeholder Management  Collaborate with internal teams (Admin, HR, Business, Finance) to understand requirements.  Provide procurement advisory and ensure alignment with business objectives. 6. Process, ERP & Governance  Manage end-to-end procurement lifecycle on ERP platforms (PR creation, PO issuance etc).  Monitor PR/PO aging and drive timely closures.  Drive process improvements and automation initiatives. Key Requirements:  8–12+ years of relevant e

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

About the Role We are looking for a Senior SAP BW/BI Developer to design, build, and optimize enterprise data warehousing solutions on SAP BW. The ideal candidate has deep hands-on experience across the full SAP BW/BI stack — from data extraction and ABAP development to performance tuning and cross-platform data integration — and can independently own complex data solutions from design through production support. Key Responsibilities Design and develop SAP BW/BI solutions, including data models, extraction logic, and reporting objects to support business analytics needs. Build and maintain data ingestion pipelines from SAP ECC and functional modules including PM, FI/CO, SD, MM, and C4C into SAP BW. Develop, enhance, and debug custom extractors, user exits, and enhancements using ABAP programming. Design and build DSOs (Data Store Objects), InfoCubes, and BEx Queries to support reporting and analytics requirements. Develop and maintain APDs (Analysis Process Designer) to extract data from BW and push output files to application servers for downstream consumption. Analyze, troubleshoot, and optimize BW query and load performance, particularly for large data volumes. Build and support connectivity between SAP BW and external data platforms, preferably Cloudera and/or Google Cloud Platform (GCP). Design, schedule, and monitor Process Chains to automate data loads and ensure data availability SLAs are met. Manage Transport Requests across development, quality, and production landscapes following change management best practices. Create and maintain technical documentation, including design specs, data flow diagrams, and process runbooks. Collaborate with functional consultants, business analysts, and downstream data teams to translate business requirements into technical solutions. Provide production support, root-cause analysis, and long-term fixes for data and performance issues Requ

Assistant Lead - Solution Architect will play a critical role in assisting senior architects in designing and implementing robust, scalable, and secure architecture solutions that meet the organization's business objectives. The individual will work closely with cross-functional teams, providing technical leadership, guiding the development of architecture strategies, and ensuring alignment with both business goals and best industry practices. Source: Adani Group | Job ID: 52365

Position Summary: We are seeking an experienced and dynamic Associate/Senior Associate – Vendor Onboarding to join our Procurement Operations team. The ideal candidate will have strong experience in Vendor Management, SAP MM, SaaS-based Procurement Platforms, MS Office, reporting, and stakeholder coordination. The role will be responsible for managing end-to-end vendor onboarding activities, coordinating with suppliers and internal stakeholders, ensuring compliance, and driving process efficiency through data analysis and reporting. Key Responsibilities: Vendor Onboarding & Management  Manage end-to-end vendor onboarding processes, including document collection, verification, due diligence, and system registration.  Coordinate with vendors through calls, emails, and meetings to ensure timely completion of onboarding requirements.  Ensure vendor master data accuracy and compliance with organizational policies.  Support vendor lifecycle management activities, including updates and maintenance of vendor records. SAP & Procurement Operations:  Work extensively on SAP MM and SaaS-based procurement platforms for vendor onboarding and master data management.  Coordinate between procurement, finance, compliance, and business teams to facilitate smooth onboarding.  Resolve onboarding-related issues and provide operational support to stakeholders. Dashboard & Reporting  Develop and maintain management dashboards, MIS reports, and performance trackers using MS Excel and other reporting tools.  Analyze onboarding metrics and generate actionable insights for management.  Monitor onboarding turnaround times and identify opportunities for process improvement. Stakeholder Management  Collaborate with internal business stakeholders to understand onboarding requirements and provide timely support.  Maintain strong relationships with vendors and internal teams.  Ensure effective communication and follow-up with all stakeholders to achieve onboarding targets. Require

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper

Opportunity Overview We're hiring a Data Architect who will serve as a senior technical leader responsible for architecting the complete lifecycle data moves, transforms, and creates value across every product line we operate. You'll own the blueprint for our enterprise data lakehouse - setting the standards, governance, and strategy that elevate data from a byproduct of operations to the company's most valuable asset. We need someone who pairs deep mathematical and logical modeling expertise with a builder's instinct - someone who codes, prototypes fast, and proves out next-generation AI data architectures before committing the organization to them. This role would need experience with US healthcare domain data. What You'll Do Semantic Layer Governance: Set the technical standard and reference architecture for a universal semantic layer across multiple distinct data products, ensuring unified definitions of complex metrics and healthcare business entities across Architect the Enterprise Context Layer: Define, scale, and govern the global Enterprise Ontology (abstract domain maps, business entity classes, and entity-relationship rules) that serves as the backbone for Agentic AI systems. AI-Native Prototyping : Leverage modern AI-native development environments (such as Cursor, GitHub Copilot) to rapidly generate, iterate, and document blueprints for complex enterprise data schemas and metadata layers. Security & Compliance Leadership : Embed regulatory compliance (HIPAA, FHIR) and security principles into platform design. Partner with security and compliance teams to ensure architectural decisions support audit readiness and risk mitigation. Cross-Functional Collaboration : Partner with executive leadership, product management, and engineering to translate business requirements into scalable technical solutions. Communicate complex architectural concepts to both technical and non-technical stakeholders. ISMS roles and responsibilities Good knowledge of Informati