Job Title: Staff Software Engineer Company: GE HealthCare Job Category: Salesforce Roles & Responsibilities: Job Description Summary =========================== We are looking for a hands\-on Technical Lead to own the technical direction of our global web platform, built on Adobe Experience Manager (AEM) Sites and AEM Edge Delivery Services (EDS). You will lead the move of high\-volume marketing properties onto EDS, keep our core AEM estate healthy and scalable, and bring AI into how the team designs, builds, tests and ships — not as a talking point, but as part of everyday engineering practice. This role sits at the intersection of architecture, delivery and people leadership. You will partner closely with Product, Marketing, eCommerce, MarTech, Compliance and Analytics teams, and guide both internal engineers and contractor partners.Job Description =================== Platform architecture \& technical leadership * Architecture ownership: Own the end\-to\-end architecture across AEM as a Cloud Service and EDS — including the decision framework for which properties belong on each, and how they coexist (CDN routing, shared design system, shared integrations). * EDS migration: Lead migration and creation of sites / microsites and marketing pages to EDS, with a focus on performance, authoring simplicity and lower run cost. * Engineering standards: Set coding standards, review designs and code, and make the hard technical trade\-offs between speed, quality and maintainability. * Integrations: Guide integrations with commerce (e.g., SAP Hybris), search (e.g., Algolia), Adobe Analytics, Adobe Target/CDP, Marketo, Salesforce and tag management (GTM), plus consent/compliance tooling. AI\-enabled development * AI in the workflow: Actively use AI coding assistants (e.g., GitHub Copilot, Claude, ChatGPT, Cursor) to accelerate component and block development, refactoring, documentation and test creation — and set team guidelines for using them safely and well. * Prompt engineering: Design and refine prompts, prompt templates and lightweight agents/automations for repeatable engineering and content tasks (e.g., content migration, page/block scaffolding, metadata and alt\-text generation, QA checks). * AI\-powered features: Support AI\-driven experiences on the site, such as conversational/concierge assistants, AI\-assisted search and personalization — including API integration, guardrails, and evaluation of output quality. * Responsible use: Bring a clear point of view on where AI should assist, accelerate or automate — and where it should not — with attention to security, privacy, IP and regulatory compliance. * Delivery: Lead a team of developers (internal and partner), plan sprints with Product, and deliver predictable releases against time\-bound commitments such as global launches and events. * Quality \& performance: Build an automation\-first quality approach: unit tests, Playwright (or similar) end\-to\-end tests, Lighthouse/Core Web Vitals performance budgets in CI/CD, and accessibility checks (WCAG 2\.1 AA). * DevOps \& operations: Own Cloud Manager pipelines, environments, release management and production support, including incident response and root\-cause analysis. * Mentoring \& influence: Mentor engineers, grow EDS and AI skills across the team, and act as the technical voice in conversations with business stakeholders and leadership. * 10–14 years of web/software engineering experience, with at least 8\+ years on Adobe AEM (Sites, ideally AEM as a Cloud Service) and 2\+ years in a technical lead or architect role. * Hands\-on experience building on AEM Edge Delivery Services — blocks, document\-based or Universal Editor authoring, aem.live tooling, and performance tuning. * Strong core AEM skills: Java, OSGi, Sling Models, HTL, Core Components, Dispatcher, content and component architecture, multi\-site/multi\-language management (MSM). * Strong front\-end skills: modern JavaScript (ES6\+), HTML5, CSS3, responsive design, and Core Web Vitals optimization. * Demonstrated, practical use of AI tools in day\-to\-day development, plus solid prompt\-design skills — able to show real examples of what you built or sped up with AI. * Experience integrating REST/GraphQL APIs, headless delivery, and third\-party platforms (search, commerce, analytics, marketing automation). * CI/CD and Git experience (Adobe Cloud Manager, Jenkins or GitHub Actions), and comfort with Agile/Scrum delivery. * Clear communicator who can explain technical trade\-offs to non\-technical stakeholders and influence without direct authority. * A clear AEM\-vs\-EDS architecture and migration roadmap, with first priority properties live on EDS and measurable gains in page performance and authoring speed. * AI\-assisted development practices adopted across the team, with documented guidelines and visible improvements in delivery speed and quality. * Automated testing and performance checks running in the release pipeline, reducing defects and manual QA effort. * A stronger, more self\-sufficient engineering team, less dependent on individual experts. Work Location: Karnataka, India Availability: Full time

Job Title: Marketing Automation Specialist Company: Bradken Job Category: Digital Marketing Roles & Responsibilities: #### About the role As our Marketing Automation Specialist, you will develop and optimise the systems, workflows, and customer journeys that power Bradken's global digital marketing program. Your work will help connect customers with the right solutions at the right time, driving engagement, lead generation, and business growth across our international operations. Working closely with global marketing, sales, and technology teams, you will use your expertise in marketing automation, CRM integration, analytics, and customer journey optimisation to deliver measurable business outcomes. This is an opportunity to make a global impact while collaborating with talented teams across multiple regions #### In this role, you will: * Design, implement and optimise automated marketing workflows and customer journeys that deliver a consistent, high\-quality customer experience across multiple channels. * Apply your problem\-solving skills to support integrations between Salesforce CRM, Marketing Cloud Account Engagement (Pardot), and other digital platforms, ensuring accurate and reliable data flow. * Analyse campaign performance, customer behaviour and marketing data to identify opportunities, improve conversion rates and maximise return on investment. * Collaborate with global marketing, sales and technology stakeholders to develop targeted, data\-driven engagement strategies and personalised customer experiences. * Champion continuous improvement by conducting A/B testing, implementing best practices and recommending new technologies that enhance marketing effectiveness. * Promote a safety\-first and quality\-focused culture while ensuring all marketing automation activities comply with data governance, privacy regulations and company standards. At Bradken, you'll do work that matters. Whatever your role, your contribution helps solve real challenges for our customers and supports safer, more efficient and sustainable resource operations. You'll join a team that values different perspectives, shares expertise and has the courage to challenge how things are done. We support your growth through hands\-on experience, learning and development, and opportunities to work across functions and locations. Safety, respect and wellbeing come first, so you can do your best work and enjoy life beyond it. * A safety\-first culture * Competitive pay and benefits * Flexible work options, where the role allows * Learning and development opportunities * An Employee Assistance Program for you and your family Work Location: Tamil Nadu, India Availability: Full time

Job Title: SAP MM Consultant Company: Zensar Technologies Job Category: SAP MM Roles & Responsibilities: Knowledge of SAP Ariba procurement solutions, including Buying \& Invoicing, Supplier Management, and integration with SAP MM to support end\-to\-end procurement processes. What's this role about? =========================== 7 to 12 years of SAP ECC and S/4 HANA experience in implementation, support and rollout projects Deep understanding of Business Process Knowledge Understanding of project implementation methodologies ITIL processes. Design Implement and Support the SAP solution Work on support engagement and manage priority based tickets knowledge of SLAs and playing vital role in identifying RCA Contribute to competency and Coordinate with technical team on custom objects Interacting with customers understanding the requirements proposing solutions methodology etc., Work Location: Maharashtra, India Availability: Full time

Job Title: Senior Developer (ADS Salesforce) Company: 4i Apps Solutions Job Category: Salesforce Roles & Responsibilities: With technologies getting obsolete and changing every now and then, creating panic and fear among the IT industry, be part of an Organization that has strong foundation in providing solutions from industry leading vendors Oracle and Salesforce. 4i recruits for various positions from Freshers to laterals to Senior consultants.As an humble contribution to the society, 4i commits to hire fresh talent from colleges all over India and give them ample opportunities to learn the latest technologies. ### A unique program for people looking to make the shift to IT. This program offers the ideal path to kick start your career in world leading Oracle ERP software. This program is one of the most successful program that has been running since 2008\. Oracle has been named by all the major analysts as a formidable force in the ERP industry and often leading from the front. The recruited trainees go through a rigorous training program in their respective area of expertise like Finance, Supply Chain, Manufacturing, Projects, HR, CRM etc. Job Description =================== Work Location: Chennai, India Availability: Full time

Job Title: Market Mgr-Mktg & Comm Company: Marriott International, Inc Job Category: Digital Marketing Roles & Responsibilities: Position Type Management The Marketing and Communications Manager is part of an important team that creates and executes property\-level communications to our customers. Under the leadership of the Director of Marketing and Communication, this role promotes on\-brand messaging to customers through traditional, digital, and social media channels all with the goal of enhancing the image of the hotel. This role helps build direct marketing plans, targeted campaigns, and activated channels to the end of driving consumer awareness and preference, increasing market share, and building broader portfolio and brand awareness. This role focuses on showcasing Food and Beverage promotions, both to hotel guests and to local patrons. As part of the Marketing and Communication team, this role is fully connected into resources in their region; Marketing and Communication Managers liaise and build deep partnerships with their regional eCommerce and Marketing teams to verify all local, social, and digital marketing efforts are effectively integrated with the selling efforts for the organization. This role also gets to do a little bit of everything, from balancing traditional and digital marketing and eCommerce activities to contributing to public relations (PR) activities for the hotel. Success is measured by how well they help drive the sales and revenue strategy of the property, social media engagement and also by how effectively leveraged the resources around them are to create truly compelling marketing and communications campaigns. * Executes annual marketing plan to budget, in consultation with the GM, Food and Beverage leader, Operations leaders, Director of Marketing Communications, and cluster marketing and ecommerce teams. * Partners with Operations, Food \& Beverage and Sales teams to execute promotions and campaigns to target in\-house guests with promotions that drive incremental revenue to the hotel. * Acts as the liaison between the marketing department and advertising agency on the tactical advertising campaigns' creative and media plans, particularly for food and beverage promotions. * Manages F\&B media schedules and verifies prompt settlement of accounts. * Partners with property Revenue Management to verify correct offer loading, verifying advertisement targeting is correctly directed at relevant consumer groups * Executes email marketing, and display advertising. * Maintains frequent, active engagement with Cluster eCommerce manager to verify alignment, pull\-through, and 2\-way communication about the status, performance evaluation, opportunities, and issues related to online programs and initiatives. * Verifies all advertising for the hotel in digital channels is in alignment with brand voice. Social Media Content Management * Facilitates social media engagement and updating content in local digital channels (e.g., hotel website, travel sites). * Develops and executes promotions campaign in F\&B, weddings, spa, rooms and conferences through relevant digital and social media channels. * Engages in proactive online reputation management by surfacing relevant guest comments (positive or negative) in social media channels and responds accordingly. Public Relations and Visual Asset Management * Develops a comprehensive PR plan per quarter along with agency and and executes post sign\-off from GM. * Maintains a comprehensive list of local media contracts, with particular emphasis on food critics and bloggers. * Manages assigned accounts as per the media account management system. * Writes and distributes all press releases for property events, promotions, and outlets. * Manages the execution of hotel sponsored events, community/government relations activities, and press promotional activities. * Supports pull through of impactful PR strategy \& activities to drive quality press coverage through media engagement, in alignment with communications objectives. * Verifies the news clippings and other online, print, and social media mention report is completed on a monthly basis for property distribution. * Manages external vendors and media agencies; works with agency partners and continent PR leader to identify strategic media buys for their hotel(s). * Surfaces and vets PR leads from the continent PR Leader regarding which are the best media to promote the hotel. * Supports the co\-ordination of photography for F\&B advertising, collateral and public relations purposes between the hotel, advertising agency and the regional field marketing teams. * Manages photo shoots for seasonal or festive promotions in partnership with the cluster or area marketing team. * Acts as central point of contact for regionally approved local photographers for food, amenity, and property imagery; coordinates with area or cluster marketing to verify all photography adheres to brand voice. Direct Marketing and Collateral Development * Coordinates and executes Hotel and F\&B printed materials. * Controls quantity and inventory of all Hotel marketing collateral and verifies copies are filed in a comprehensive manner. * Assists in the production of all property, F\&B display, and temporary signage in hotel public areas. * Promotes collection of competitors collateral and publicity on a monthly basis. * Manages the execution of F\&B direct marketing activities. * Verifies all collateral is as per brand standard guidelines and in compliance with Brand Standard Audit (BSA). * Assists and manages the development, co\-ordination and execution of all communications activities with a strong emphasis on property F\&B promotions and campaigns. * Helps with the publication of hotel’s newsletter(s). * Supports communications duties and functions as deemed necessary. * Assists in the liaison and execution of joint F\&B promotions. * Works with eCommerce to verify the Hotel’s website and related websites are updated on a regular basis. * Partners with Director of Marketing to create marketing plan aligned to hotel sales and revenue strategy. * Provides training and marketing leadership and act as a marketing subject matter expert for GMs, Sales Leaders and Managers, and Revenue leaders. * Coordinates with property and above property eCommerce and Revenue Management teams to report success of property marketing and eCommerce performance. * Keeps abreast of competition and its collateral, advertising, and marketing efforts and constantly evolving digital and marketing trends. At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non\-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.* Work Location: Raipur, India Availability: Full time

Job Title: Lead Data Scientist Company: Philips Job Category: Machine Learning Roles & Responsibilities: Lead Data Scientist Job Description Job title: Lead Data Scientist Your Role The Lead Data Scientist architects, builds, and runs production\-grade Machine Learning and Generative AI systems—owning the full lifecycle from model development to scalable cloud deployment and ongoing performance monitoring . In addition, the role partners with commercial stakeholders translate market/customer data into decision\-ready insights and AI\-enabled analytics solutions that drive measurable outcomes Operating with a builder and translator mindset , the individual rapidly develops MVP analytics solutions , leverages AI to accelerate insight generation , and ensures strong product engineering fundamentals, data quality , and governance . The role plays a critical part in establishing a single source of truth for performance management across markets and channels while elevating analytics maturity from descriptive reporting to predictive and insight\-led decision making . Key Responsibilities * ML \& Deep Learning Model Development * Design, train, and optimize ML models for prediction, classification, ranking, time\-series forecasting, anomaly detection, NLP, and recommendation use cases. * Build robust experimentation workflows (train/validation strategy, ablations, error analysis) and improve model quality through iterative tuning. * Ensure reproducibility and maintainability through clean code practices, versioning, and automated testing. * GenAI Engineering (LLMs, RAG / MCP / fine\-tuning, Agents) * Build enterprise\-grade LLM applications using RAG (retrieval\-augmented generation), MCP, and fine\-tuning approaches: chunking strategies, embedding generation, hybrid retrieval, reranking, prompt templates, and citation/attribution patterns. * Develop LLM applications with tool use/function calling patterns and agentic workflows where appropriate. * Implement systematic evaluation: curated eval sets, prompt regression tests, hallucination checks, retrieval quality metrics, and automated quality gates. * ML \& LLM Operations: Productionization, Deployment \& Monitoring * Deploy and operate real\-time and batch inference solutions on Azure using managed endpoints and/or containerized serving. * Build CI/CD for ML systems: automated packaging, container builds, model validation tests, staged rollouts, and rollback strategies. * Establish lifecycle management: model registry/versioning, lineage, promotion workflows, and release governance. * Implement observability: latency, throughput, cost, drift signals, data quality checks, alerts, and performance degradation monitoring. * Pipeline Orchestration \& Automation (Train → Deploy) * Build standardized ML pipelines for training, evaluation, and deployment using orchestration tools (cloud\-native pipelines and/or platform tools). * Automate dataset/version management, feature generation, scheduled retraining triggers, and approval workflows. * Define repeatable patterns for scalable experimentation and reliable production delivery. * Analytics Products, Dashboards \& Data Governance * Own key analytics outputs as products (dashboards, reusable datasets, internal tools), continuously improving them based on usage patterns and performance gaps. * Build and automate dashboards and analytical components using scalable SQL logic, Python transformations, and reusable modules. * Act as owner for critical commercial/syndicated datasets (e.g., GfK, Circana, Nielsen or equivalent): definitions, assumptions, and limitations, ensuring transparent logic and trust in outputs. * Partner with data engineering/IT to ensure data quality, harmonization, and governance through strong validation and reconciliation practices. * Stakeholder Partnership \& Decision Support (Lightweight, High Impact) * Serve as trusted analytics thought partner to senior stakeholders (e.g., BU leadership, Sales, Marketing, Finance), shaping problem statements and aligning on success metrics. * Translate complex analytics into clear recommendations with a decision\-oriented storyline (“so\-what / now\-what”), tailored for leadership forums and reviews. * Support performance reviews, planning cycles, and high\-priority ad\-hoc requests with speed, rigor, and confidence; proactively challenge assumptions with fact\-based insights. * Responsible AI, Security, and Risk Controls (GenAI\-ready) * Implement guardrails: prompt injection defenses, sensitive data protections, output validation, and secure tool execution patterns. * Apply responsible AI practices: transparent evaluation criteria, auditability, and risk controls aligned to enterprise needs. * Technical Leadership (Lead\-level Expectations) * Set engineering standards for DS/ML codebases: design docs, code review practices, testing discipline, and production readiness checklists. * Mentor data scientists/ML engineers on modeling, GenAI engineering, and MLOps best practices. * Lead architectural decisions across modeling approaches, retrieval stack, serving patterns, and evaluation strategy. Core Skills \& Competencies Must\-have (Technical) * Strong Python (production\-quality coding) and solid CS fundamentals; strong SQL for data access and validation. * Depth in ML: Traditional ML exposure and at least one deep learning framework (PyTorch/TensorFlow), with strong understanding of metrics and failure modes. * GenAI implementation: RAG / MCP / fine\-tuning, embeddings/vector search, prompt orchestration, evaluation harnesses, and LLM application patterns. * Production deployment experience on AWS or Azure (model/LLM app deployment, API serving, scaling, monitoring). * MLOps tooling: experiment tracking, model registry, CI/CD, and pipeline orchestration (e.g., MLflow or equivalent patterns). Good\-to\-have (Business \+ Influence) * Strong business acumen and ability to connect disparate data points into compelling narratives that influence senior stakeholders. * Builder/MVP mindset—rapid prototyping and iterating based on stakeholder feedback while maintaining data quality and governance Note: This role values applied problem\-solving and business impact over purely academic specialization. You're The Right Fit If * Proven track record of owning end\-to\-end analytics domains, not just contributing to isolated analyses or consuming pre\-built reports. * 7–12\+ years in hands\-on Data Science / ML Engineering with multiple production deployments owned end\-to\-end. * Demonstrated ability to take solutions from experimentation → production (reproducible pipelines, deployment to managed endpoints/container platforms, monitoring \+ iterative improvement). * Strong GenAI delivery record: shipped RAG/MCP/fine\-tuned LLM applications with measurable quality controls, safety measures, and operational readiness. * Experience operating in complex, matrixed environments and partnering with senior stakeholders to drive insight\-led decision making * Hands\-on exposure to AI\-enabled analytics, including the use of GenAI tools (e.g., ChatGPT, Claude, or similar) to accelerate insight generation, analysis, or productivity. * Strong experience partnering with senior business stakeholders (BU leaders, Sales, Marketing, Finance), influencing decisions through insight\-led storytelling. Onsite roles require full\-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations. this role is an office role. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Salesforce Developer Company: Softmivix Technology Solutions Job Category: Salesforce Roles & Responsibilities: About The Role Own Apex, Lightning Web Components and the integration layer between Salesforce and our clients' core systems. You will handle data migrations, governor\-limit\-safe batch work, and sandbox\-to\-production release management. Platform Developer I certification or equivalent experience. Responsibilities * Build Apex services, triggers and Lightning Web Components for client orgs * Design and run integrations between Salesforce and ERP, billing and data platforms * Plan and execute data migrations with clean rollback paths * Write governor\-limit\-safe batch and queueable jobs * Manage sandbox\-to\-production releases and deployment pipelines Work Location: Pune Division, Maharashtra, India Availability: Full time

Job Title: Performance Marketing - Google ads Company: Clini launch Research Institute Job Category: Digital Marketing Roles & Responsibilities: CliniLaunch Research Institute is a healthcare\-focused EdTech organization focused on skill development, professional training, and career advancement. We offer industry\-oriented programs designed to help learners build relevant skills and pursue career opportunities. The candidate will be responsible for generating quality leads, optimizing advertising budgets, reducing cost per lead (CPL), and improving overall campaign performance. Key Responsibilities1\. Google Ads Campaign Management * Plan, create, execute, and optimize Google Ads campaigns focused on lead generation. * Manage Google Search, Display, and Performance Max campaigns. * Conduct keyword research, search\-term analysis, competitor analysis, and negative keyword management. * Create and optimize ad copies, headlines, descriptions, and ad assets to improve click\-through and conversion rates. * Manage campaign budgets, bidding strategies, audience targeting, and geographic targeting. * Monitor campaign performance and identify opportunities to scale successful campaigns. * Optimize campaigns to improve lead quality, reduce CPL, and maximize return on ad spend wherever applicable. * Set up, monitor, and troubleshoot conversion tracking using Google Ads, Google Tag Manager (GTM), and Google Analytics 4 (GA4\). * Track form submissions, phone inquiries, landing\-page conversions, and other lead\-generation activities. * Monitor key performance metrics, including impressions, clicks, CTR, CPC, conversion rate, and CPL. * Analyze campaign data to identify trends, performance gaps, and opportunities for improvement. * Coordinate with CRM and sales teams to evaluate lead quality and campaign effectiveness. 3\. Landing Page and Lead Quality Optimization * Collaborate with content, design, and web development teams to improve landing\-page performance. * Conduct A/B testing of ad copies, landing pages, audiences, and bidding strategies. * Analyze lead quality and identify irrelevant, duplicate, or low\-quality leads. * Recommend improvements based on campaign analytics and sales feedback. * Prepare daily, weekly, and monthly campaign performance reports. * Track lead volume, CPL, conversion rates, budget utilization, and lead quality. * Maintain campaign documentation, budget trackers, and performance reports using Excel or Google Sheets. * Use Looker Studio or similar tools to create performance dashboards. * Present actionable insights and optimization recommendations to management. 5\. Additional Responsibilities * Stay updated with Google Ads features, automation, and digital advertising best practices. * Support Meta Ads campaigns when required. * Coordinate with internal teams to align marketing campaigns with business objectives. Key Performance Indicators (KPIs) * Achievement of lead\-generation targets. * Cost per lead and advertising budget efficiency. * Lead quality and sales\-qualified lead contribution. * Conversion rates and click\-through rates. * Campaign optimization and budget utilization. * Accuracy and timeliness of performance reporting. * Continuous improvement in campaign performance and scalability. The ideal candidate is analytical, proactive, and comfortable managing Google Ads campaigns independently. They should be able to translate campaign data into actionable insights, generate quality leads, and continuously improve advertising performance. Work Location: In person Work Location: Karnataka, India Availability: Full time

Job Title: Lead II - Enterprise Solutions - SAP Kinaxis Company: UST Job Category: SAP MM Roles & Responsibilities: Role description Role Summary: ### We are seeking an experienced SAP Kinaxis Enterprise solution with 9\+ years of IT and Supply Chain Planning experience. The ideal candidate will have deep expertise in Kinaxis RapidResponse/Maestro, SAP ERP/S4HANA integration, Demand Planning, Supply Planning, S\&OP, Inventory Planning, and end\-to\-end Supply Chain transformation initiatives. The candidate will lead solution design, client engagements, global implementations, and drive business process improvements. ### Key Responsibilities * Lead end\-to\-end Kinaxis implementation and transformation programs. * Design scalable supply chain planning solutions using Kinaxis RapidResponse/Maestro. * Collaborate with business stakeholders to gather and translate requirements into solution designs. * Drive Demand Planning, Supply Planning, Inventory Optimization, Capacity Planning, and S\&OP processes. * Integrate Kinaxis with SAP ECC, SAP APO, SAP IBP, and SAP S/4HANA environments. * Define data models, planning hierarchies, KPIs, and reporting solutions. * Lead workshops, solution architecture reviews, and governance meetings. * Mentor junior consultants and provide technical leadership. * Support data migration, testing, deployment, and hypercare activities. * Identify business process improvements and recommend best practices. * 7\+ years of overall IT/Supply Chain experience. * 3\+ years of hands\-on Kinaxis Rapid Response/Maestro experience. * Strong knowledge of: * + Demand Planning + Supply Planning + Inventory Planning + Capacity Planning + S\&OP / IBP + Order Fulfillment * Experience integrating Kinaxis with SAP ECC/S4HANA. * Strong understanding of supply chain data models and planning workflows. * Experience in large\-scale global implementation programs. * Excellent stakeholder management and client\-facing skills. * Strong analytical and problem\-solving abilities. Kinaxis Rapid Response, SAP S/4HANA, SAP IBP, SAP APO, SAP SD, AWS, Project Management, SAP ECC, SAP MM, SAP PP, Functional Testing Work Location: Bengaluru, India Availability: Full time

Job Title: Lead Machine Learning Engineer Company: Bain & Company Job Category: Machine Learning Roles & Responsibilities: You’ll join our Machine Learning and Data Science experts within the \[2] Applied Tech \& AI team. This team is part of Bain’s digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data\-driven strategies and innovative solutions. Together, we create human\-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results. * Design, build, and deliver statistical/ML models and agentic AI/LLM solutions to solve high\-impact client problems. * Architect and implement production\-grade ML systems by building enterprise\-grade services, applying MLOps and CI/CD for reliable deployment and monitoring, and ensuring high standards in engineering quality and documentation. * Partner with general consulting teams and client stakeholders to translate business problems into ML solutions, prioritize work, and enable enterprise‑scale AI transformation. * Continuously research emerging frameworks and state‑of‑the‑art AI (e.g., LLMs, agents, retrieval, post\-training, etc.) and convert learnings into reusable frameworks, components, and accelerators used across industries and functions. * Share knowledge and mentor others on best practices tools, and approaches in applied machine learning and AI engineering. * Contribute to internal R\&D and learning initiatives to advance Bain’s AI capabilities and foster continuous innovation between projects. Work Location: Karnataka, India Availability: Full time