Climate Adaptation Jobs in Bengaluru

Company Description Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally. Job Description Implementation and supervision of agreed research methodology for crop estimation analytical Contribution to the development of the research methodology and strategy. Continuous review of the methodology being applied in view of observations made during crop tours. Conduct crop tours across different regions of India. The Job involves extensive travel across India. Estimate cotton area by collecting data from a) official sources regularly b) Confirmation of area estimates through visual estimation of area changes c) Farmer interviews d) Gathering of information from third parties like research institutes, Seed industry, Agri departments etc. Highlight the risks to the crop estimate by working out various scenarios. Assessment of the impact of various scenarios on yields and associated probabilities such as weather, pests, diseases and changing costs or supply of inputs or labor etc. Close monitoring of weather developments and long-term forecasts to update production estimates. Analyze trends, evaluate behaviors etc. and make appropriate conclusions. Conducting detailed cost of production & Gross margins studies. Regularly monitor the crop development using Agronomical and statistical tools. Ability to think analytically, detect errors, determine causes, and make corrections. Work as part of a team and ensure the team meets its objectives. Communication of the findings in the form of well-argued crop tour report Additional Information Additional Information for the job Diversity & Inclusion LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion. LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply.

Position Purpose: At Bayer, we are committed to solving the world s most challenging problems, including revolutionizing farming practices. We are seeking a Data Scientist - Agronomy & Remote Sensing to lead the development of data-driven agricultural solutions. By combining expertise in soil science, crop modeling, remote sensing, and advanced analytics, you will create innovative digital products that enhance agricultural productivity and improve farming practices. Key Responsibilities Innovation & Experimentation: Collaborate with cross-functional teams to build data-driven solutions and offerings for farmers. Model Development: Develop weather and climate change models using statistical and process-based methods. Field Experiments: Design and lead field experiments, guiding field officers for data collection and model validation. Predictive Modeling: Build predictive models to map soil properties and field variabilities using statistical and modeling techniques. Collaboration: Work with data scientists and engineers to develop models that diagnose, predict, and analyze crop performance. Deployment: Deploy analysis results and models into customer-facing services, monitor performance, and improve models. Data Handling: Clean, analyze, and visualize complex agricultural, remote sensing, and geospatial datasets to derive actionable insights. Data Quality: Work with the data quality team to resolve any data-related issues. Who You Are Educational Qualification: MS with 5+ years of experience in soil research and remote sensing, or Ph.D. in Remote Sensing, Soil Science, Agronomy, Environmental Science, or a related field. Experience: Expertise in remote sensing, agricultural, and geospatial datasets, applying data science techniques to real-world problems. Strong background in soil hydrology and/or Agronomy with experience in using geospatial datasets (e.g., SoilGrids, ERA5). Proficiency in GIS software for geospatial analysis. Experience with Python/R and SQL for data analysis. Familiarity with statistical modeling techniques like Linear Regression, Partial Least Squares, Random Forest, Neural Networks, etc. Dynamic Shared Ownership (DSO): Bayer promotes a culture of productivity, innovation, and faster results, reshaping how we work together. Equal Opportunity Employer: Bayer values fairness, respect, and diversity, offering equal opportunities regardless of race, religion, gender, or other factors.

AI Agent Engineer Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. We enable enterprises to deploy AI agents that automate customer interactions, delivering natural conversations with predictable outcomes. Our platform combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. We also empower teams to guide and augment human agents with AI copilots, while analyzing 100% of interactions for insights, coaching, and quality management. Leading companies like DoorDash, Affordable Care, Signify Health, and Verida rely on Observe.AI to accelerate service speed, increase operational efficiency, and strengthen customer loyalty across all channels. We re looking for an AI Agent Engineer to take the lead in building and deploying enterprise-grade Voice, Chat AI agents, and AI Copilot solutions. This role is hands-on, customer-facing, and crucial for bringing AI solutions to life from design and integration to deployment and optimization. As an AI Agent Engineer, you'll **own the end-to-end lifecycle of AI agents**: from building and integrating them to testing, deploying, and tuning performance to meet client requirements. What You ll Be Doing: AI Agent Development & Deployment: Take full ownership of building and deploying AI agents, including designing prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement & Demos: Lead weekly client demos, showcase progress, gather feedback, and act as the primary technical contact once the solution is defined. Systems Integration: Configure and integrate APIs, handle data mappings, manage authentication, error handling, and connect AI agents to CRMs, databases, or knowledge systems. Telephony Integration: Set up and optimize SIP/CCaaS/PSTN routing, configure fallbacks, pass metadata, and troubleshoot call quality issues. Optimization & Iteration: Continuously monitor agent performance, refine prompts, conduct iterative tests, and ensure agents meet automation and containment targets. Strategic Consultation: Translate customer requirements into actionable solutions, while working consultatively to unblock challenges related to security, connectivity, or knowledge ingestion. Collaboration with Engineering: Work alongside the product and engineering teams for deeper technical fixes and platform improvements, while leading client delivery independently. What You ll Bring to the Role: 3+ years of experience in conversational AI, ML engineering, or system integration, with hands-on delivery of AI/LLM-based solutions. Strong expertise in prompt engineering, workflow building, API integration, and telephony systems (SIP, Twilio, Amazon Connect, etc.). Familiarity with Large Language Models (GPT, Claude, Gemini) and orchestration frameworks like LangChain and LlamaIndex. Solid ML knowledge in areas such as embeddings, retrieval-augmented generation (RAG), evaluation frameworks, and fine-tuning models for optimal performance. Proficiency in programming languages such as Python, JavaScript, or similar. Customer-facing experience, with the ability to lead deep technical discussions and conduct weekly project demos. A strong problem-solving mindset, with the ability to find workarounds, unblock integrations, and adapt to unique customer ecosystems. Bachelor s degree in Computer Science, Engineering, or a related technical field. Experience with Integration Platform-as-a-Service (iPaaS) providers such as n8n, Zapier, or similar, and a strong understanding of API integrations and data flow management. Extensive hands-on experience with telephony integrations, including protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits: Medical Insurance: Comprehensive medical coverage and free online doctor consultations. Generous Leave Policies: Annual privilege and sick leave (as per Karnataka S&E Act), national and festive holidays, plus parental leave. Learning & Development Fund: Support for continuous learning and professional development. Fun Team Culture: Regular fun events to foster a collaborative and engaging work environment. Flexible Benefit Plans: Tax-saving benefits (meal cards, PF, etc.) and other flexible benefit options. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

Job Title: Global FP&A and Sustainability Analyst Location: Bangalore (with hybrid work model) Reporting to: Financial Planning & Analysis Manager (solid line) and Global FP&A team (dotted line) Work Model: Hybrid / Onsite (#LI-Hybrid, #LI-Onsite) About ABB At ABB, we are committed to addressing global challenges through innovation, collaboration, and sustainability. Our core values Care, Courage, Curiosity, and Collaboration along with our focus on diversity, inclusion, and equal opportunities, drive us to empower our employees and create impactful solutions for a better future. Role Overview We are looking for a proactive and analytical FP&A and Sustainability Analyst to join our Center of Excellence (CoE) team in India. In this role, you will act as a critical link between Finance and Sustainability functions, supporting the Global Business Area of Motion. You will be responsible for evaluating financial and sustainability KPIs, building and maintaining analytics dashboards, and acting as a business partner to Global Divisions and other functions. This is an exciting opportunity for a finance professional with a sustainability mindset to contribute directly to global initiatives, driving meaningful insights and improvements across the Motion business. Key Responsibilities Conduct financial analysis and validate data accuracy to support the financial reporting, planning, budgeting, and forecasting processes. Support business analytics processes by developing Power BI dashboards and other data visualization tools for internal stakeholders. Assist in ESG reporting for the Motion business area prepare reporting templates, aggregate data, and conduct data analysis to track sustainability performance. Collaborate closely with finance and sustainability teams across divisions, regions, and countries to drive alignment and ensure data accuracy. Actively participate in global initiatives and Finance/Sustainability projects, contributing insights and solutions from a local and global perspective. Provide additional finance and sustainability support during peak reporting periods, year-end, and special projects as needed. Qualifications & Experience Education: Chartered Finance Qualification (CMA, CA, ACCA, or MBA in Finance). Full-time Finance Graduate background. Experience: Minimum 2+ years of professional experience in FP&A, finance analytics, or sustainability reporting. Strong interest in Sustainability and ESG reporting (additional certification or education in Sustainability topics would be advantageous). Technical Skills: Proficiency in Microsoft Office 365, especially Excel. Hands-on experience with Power BI (dashboard creation, data modeling, visualization). Understanding of end-to-end processes, systems, and data flows in Abacus Analyzer and ATLAS is preferred. Interpersonal Skills: Excellent communication and collaboration abilities. Strong team player with the ability to work independently towards defined goals. Exceptional attention to detail and strong organizational and multitasking capabilities. About ABB Finance ABB Finance is a trusted business partner, delivering forward-looking insights and sustainable long-term results, all while maintaining the highest standards of integrity and transparency. Our global Finance team plays a crucial role in enabling innovation and supporting ABB s transformation toward a more sustainable and efficient future. Work at the intersection of Finance, Sustainability, and Data Analytics. Be part of a global team driving sustainable transformation in a leading technology company. Collaborate across divisions and geographies, expanding your global network. Enhance your technical and analytical skills with exposure to cutting-edge tools and processes. Experience a culture that values diversity, innovation, and continuous learning. Qualification : Chartered Finance Qualification (CMA, CA, ACCA, or MBA in Finance).

Senior Operations Analyst (KYC) Location: Bangalore Experience: 5+ Years Company: KredX About KredX Founded in 2015, KredX has evolved into a comprehensive financial solutions ecosystem. We are India's leading integrated supply chain finance provider, holding both RBI s TReDS license and IFSCA s ITFS license one of the few double-licensed entities in the country. Our flagship platforms include: DTX (Domestic Trade Exchange): RBI-licensed TReDS platform enabling MSME financing via invoice discounting. GTX (Global Trade Exchange): IFSCA-licensed platform facilitating cross-border trade finance. CMS (Cash Management Solutions): AI-driven finance automation streamlining financial operations globally. KredX powers businesses of all sizes with innovative, technology-driven financial solutions. Role Overview We are seeking a highly skilled and detail-oriented Senior KYC Analyst to lead the Know Your Customer (KYC) processes within our Operations team at DTX. This role is critical in ensuring full regulatory compliance while maintaining the integrity of our client relationships. You will drive enhancements in our KYC framework, conduct detailed risk assessments, and provide strategic direction on customer due diligence. Key Responsibilities Lead and manage the end-to-end KYC process, including customer identification, verification, risk assessment, and ongoing monitoring. Conduct in-depth investigations of customer backgrounds, transactions, and compliance to identify risks and suspicious activities. Develop, implement, and continuously improve KYC policies and procedures in line with regulatory requirements and industry best practices. Collaborate with compliance, legal, and operations teams to resolve KYC-related issues and streamline processes. Mentor and train junior analysts, fostering a culture of compliance, accuracy, and continuous improvement. Stay abreast of regulatory updates and emerging trends in financial services, adapting KYC strategies proactively. Required Qualifications & Experience Minimum 5 years experience in KYC, AML, or related compliance roles in financial services. At least 3 years experience working within a TReDS framework is preferred. Strong knowledge of KYC regulations, customer due diligence, and risk assessment methodologies. Proven analytical skills to evaluate complex data and generate actionable risk insights. Excellent communication skills, able to clearly present findings to varied stakeholders. Preferred Qualifications Experience using KYC software platforms such as Actimize, Amlify, or similar tools. Professional certifications like CAMS (Certified Anti-Money Laundering Specialist) or CFE (Certified Fraud Examiner). Familiarity with global financial regulations and international compliance adaptation. Technical Skills & Tools Proficiency in data analysis tools including SQL and advanced Excel functions for investigations and reporting. Experience with risk assessment frameworks related to KYC compliance. Understanding of regulatory reporting requirements and compliance tools.

Machine Learning Engineer - Speech AI (ASR & TTS) Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a pioneering generative AI startup headquartered in Bengaluru, India. We specialize in leading transformative research and development in speech and language technologies. Focused on building state-of-the-art ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) models, particularly for Indic languages, we aim to redefine human-computer interaction with cutting-edge, AI-driven solutions. Join us as we push the boundaries of Speech AI to create inclusive, scalable, and intelligent voice-based applications for diverse communities worldwide. Role Overview We are seeking an experienced Machine Learning Engineer specializing in Speech AI (ASR & TTS). The ideal candidate will work on deep learning-based ASR and TTS models, improving accuracy, efficiency, and multilingual capabilities while deploying them at scale. The role involves developing and optimizing speech recognition and synthesis models with a focus on low-resource languages, real-time inference, and scalability. If you have a passion for speech processing and deep learning, this is a great opportunity to make a significant impact in a rapidly growing field. Key Responsibilities ASR (Automatic Speech Recognition) Develop, train, and optimize speech-to-text models using state-of-the-art architectures like Wav2Vec, Whisper, Conformer, and DeepSpeech. Implement techniques for low-latency ASR inference, including beam search, language model integration, and real-time transcription. Improve speech recognition accuracy for low-resource languages, especially Indic languages, using transfer learning and data augmentation. Optimize ASR pipelines for noise robustness, speaker adaptation, and domain-specific transcription. TTS (Text-to-Speech) Develop and fine-tune neural TTS models such as Tacotron, FastSpeech, VITS, or WaveNet for high-quality, natural-sounding speech synthesis. Implement multilingual and expressive TTS models with prosody and emotion control. Optimize TTS inference for deployment on edge devices, mobile, and cloud platforms. Improve speech synthesis quality through voice cloning, neural vocoders (HiFi-GAN, WaveGlow), and prosody modeling. General Speech AI Responsibilities Benchmark and profile ASR/TTS models to improve latency, efficiency, and deployment performance. Deploy scalable speech AI APIs on AWS, Azure, or GCP for real-world applications. Optimize ASR & TTS models for edge and offline inference. Stay updated with the latest advancements in speech AI, neural vocoders, and real-time inference techniques. Must-Have Qualifications Experience: 2-3 years of experience in speech AI, deep learning, or machine learning, with a focus on ASR & TTS. Education: Bachelor s or Master s degree in Computer Science, AI/ML, Speech Processing, or a related field. ML Frameworks: Proficiency in PyTorch or TensorFlow for training and deploying ASR/TTS models. ASR Expertise: Experience with speech-to-text architectures like Whisper, Wav2Vec, Conformer, or DeepSpeech. TTS Expertise: Experience with speech synthesis models like Tacotron, FastSpeech, or VITS. Speech Signal Processing: Understanding of MFCCs, STFT, phonemes, prosody modeling, and feature extraction. Inference Optimization: Hands-on experience with TensorRT, ONNX, or quantization (INT8, FP16) for ASR/TTS. Cloud & Edge Deployment: Experience deploying speech models on AWS, GCP, or Azure. Preferred Qualifications Experience with speech diarization, speaker recognition, or language modeling for ASR. Familiarity with zero-shot TTS, voice cloning, and multilingual speech modeling. Understanding of CUDA optimization and low-bit quantization for ASR/TTS models. Contributions to open-source speech AI projects or a strong GitHub portfolio showcasing relevant work. Experience with real-time streaming ASR/TTS applications and low-latency inference. Innovative Impact: Work on AI-driven speech solutions that are changing how people interact with technology, especially in low-resource languages. Cutting-Edge Technology: Contribute to the development of state-of-the-art speech AI models in a rapidly advancing field. Collaborative Environment: Work with a team of experts in AI, machine learning, and speech processing, in a startup culture. Growth Opportunities: Sarvam.ai offers exciting career growth in a fast-paced environment with opportunities for personal and professional development. Interested candidates are invited to submit their resume, cover letter, and any relevant project portfolios or GitHub links showcasing their experience in ASR, TTS, or Speech AI. Strong AI-related projects, whether in industry, research, or personal work, will be highly valued. Qualification : Bachelors or Masters degree in Computer Science, AI/ML, Speech Processing, or a related field.

Job Title: IMPO UAM Authorization Analyst Location: Bengaluru, India Unit: Johnson & Johnson Innovative Medicine Principal Operations (IMPO) Job Type: Full-Time Employment Type: Permanent About Johnson & Johnson: At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, profoundly impacting health for humanity. Role Purpose: The IMPO UAM Authorization Analyst role at Johnson & Johnson is responsible for enhancing user access security and compliance within global SAP S/4 systems, while driving key User Access Management (UAM) initiatives. This role supports business adaptation through SAP S/4 HANA implementation, focusing on core SAP Manufacturing, Order to Cash, Procure to Pay, and Finance processes. The position is part of the IMUAM team, ensuring security requirements are designed and implemented compliantly within the Transcend Program, a global initiative for business transformation. Key Responsibilities: Security Workshops & Role Design: Lead security workshops to gather business and compliance requirements for role design, ensuring validation post-build for S/4 HANA Roles and Authorization requirements. UAM Strategy Development: Develop UAM strategies involving composite roles, Fiori tiles, business roles/user personas, and data security/UI masking concepts for S/4HANA. Data Validation & Compliance Documentation: Perform data validation, conduct health checks, and provide compliance documentation to ensure proper security implementation. Role Design & Testing: Design, test, and implement rule sets for SAP S/4HANA role design, ensuring they align with security protocols. User Account Setup & Support: Support role data and user account setup. Provide advice on role design testing and coordinate business UAT activities. Authorization Defects Management: Manage authorization defects and provide support for user cutover and Hypercare activities during and post-implementation. Collaboration & Training: Work closely with the Business Adaptation team to facilitate training, communication, and readiness across regions. Assist in transitioning between project phases and operational support teams. Compliance & Security Audits: Ensure compliance with internal and external standards through regular SAP security assessments and audits. Issue Troubleshooting & Resolution: Troubleshoot and resolve complex SAP security issues to maintain a secure environment. Documentation Management: Develop and maintain comprehensive documentation for SAP security policies, procedures, and configurations. Mentorship & Team Development: Train and mentor junior team members, promoting the implementation of SAP security standard processes. Qualifications: Required: Educational Background: Bachelor s degree in a relevant field (preferably Risk Management, Compliance, Audit). Experience: 6-8 years of experience in UAM within an enterprise risk management framework. Demonstrated expertise in SAP GRC Access Control and Identity Management tools. Hands-on experience with end-to-end SAP S/4HANA implementation, including Fiori. Deep knowledge of SAP authorization concepts, Segregation of Duties (SoD) mitigation, and remediation strategies. Proficiency in risk matrix/rule set maintenance, data analysis, conversion, and migration. Tools & Platforms: Experience with teamwork platforms (e.g., Confluence, Jira, MS Teams). Project Management: Strong project management and collaboration skills with experience in remote and virtual environments. Language Skills: Fluent in English with outstanding oral and written communication skills. Additional Experience: Experience in the pharmaceutical domain is a plus. Preferred: Industry Experience: Experience in Life Sciences, Pharmaceuticals, or similar industries. Leadership & Innovation: Demonstrated leadership skills with the ability to embrace innovation and promote a culture of continuous improvement. Project Management: Previous experience in a PMO role managing large-scale SAP implementation projects. Cross-Cultural Team Collaboration: Ability to work effectively with team members from different cultural and technical backgrounds. Other Requirements: Hybrid Work: Ability to work on-site a minimum of three days per week, with up to two remote workdays based on the flexible work policy. Travel: May require up to 10% domestic and/or international travel. Diversity & Inclusion: Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. We are committed to fostering an inclusive and diverse work environment, and we encourage applicants from all backgrounds to apply. We value diversity and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, age, national origin, or veteran status. Qualification : Bachelors degree in a relevant field, with a preference for studies in Risk Management, Compliance, and Audit.

Job Title: Senior 5G RAN Developer Location: Bengaluru, India Experience: 4 to 8 years Education: B.E./B.Tech./M.E./M.Tech. in Electronics & Communication (EC), Electrical Engineering (EE), Computer Science (CS), or an equivalent discipline About Tietoevry At Tietoevry, we are at the forefront of 5G innovation, collaborating with global telecom leaders to design and deliver next-generation wireless solutions. Our inclusive, innovation-driven culture offers the perfect platform to work on cutting-edge technologies and contribute to shaping the future of connectivity. Role Overview As a Senior 5G RAN Developer, you will play a critical role in designing, developing, and maintaining 5G NR protocol software components. You will lead the systemization, development, and verification processes for various RAN subsystems, contributing to the development and optimization of gNodeB solutions. This role requires deep technical expertise in 5G RAN Layer 1, 2, and 3, combined with strong architectural insight and a proactive, problem-solving mindset. You will collaborate closely with clients and global teams, provide technical guidance to peers, and help drive innovation in our 5G product portfolio. Key Responsibilities Contribute to product development, maintenance, and delivery, including requirement analysis, high-level design (HLD), low-level design (LLD), coding, and verification of gNodeB. Analyze and prioritize 3GPP features for development across different subsystems. Lead system integration and testing activities in collaboration with client and internal teams. Provide technical leadership by guiding teams on complex design and architectural decisions. Drive continuous performance improvement and ensure quality deliverables. Identify and implement architectural enhancements to optimize product performance and scalability. Document development processes, system designs, and testing outcomes thoroughly. Mandatory Skills & Experience Proven hands-on experience in developing LTE/5G NR MAC Scheduler and Layer-2 protocols. Deep knowledge of 3GPP specifications, particularly across Layer 1, Layer 2, and Layer 3. Strong understanding of Layer1-Layer2 and Layer2-Layer3 interfaces. Solid understanding of networking protocols such as TCP/IP, UDP, SCTP, etc. Experience debugging complex gNodeB issues, including log file analysis and troubleshooting in live environments. Proficiency in C/C++ programming, with experience implementing complex algorithms. Hands-on experience with any of the following features: MAC, RLC, PDCP, Scheduler, Power Control, SPS, TTI Bundling, Link Adaptation, GTP-C, GTP-U In-depth understanding of 3GPP Radio Access Standards, ORAN split architecture, and radio protocol algorithms. Experience in feasibility studies and simulations related to Layer 1/PHY features and packet scheduler algorithms. Experience in software development and systemization for 5G Layer 1/Layer 2/Layer 3 protocols. Strong grasp of Linux OS and optimization techniques using DPDK. Hands-on expertise with version control tools like Git and Gerrit, and project management tools like Jira. Experience working in Agile environments. Preferred Skills Experience with cloud technologies, such as microservices and containers. Exposure to ORAN/Open RAN ecosystems is a plus. Strong analytical mindset with a self-driven and proactive approach. Soft Skills Excellent communication skills, with the ability to work in a dynamic, multicultural environment. Strong collaboration skills to work closely with cross-functional teams across geographies. Ability to mentor and guide junior developers, fostering knowledge sharing within the team. Opportunity to work on cutting-edge 5G technology projects in collaboration with global telecom leaders. A Nordic-inspired culture based on trust, transparency, respect, and low hierarchy. Professional growth through continuous learning, training programs, and exposure to emerging technologies. An inclusive workplace that supports work-life balance. Opportunities for global collaboration, contributing to innovative solutions that shape the future of mobile connectivity. Diversity & Inclusion Commitment At Tietoevry, we believe that diversity fuels innovation. We actively encourage applications from all genders (m/f/d) and candidates from diverse backgrounds. We are committed to fostering an open, inclusive, and inspiring workplace where every individual can thrive. Qualification : B.E./B.Tech./M.E./M.Tech. in Electronics & Communication (EC), Electrical Engineering (EE), Computer Science (CS), or an equivalent discipline

Job Overview Product Analyst - Product Management in Apparel domain, with 6-10 years of experience Extensive experience in SQL for data analysis, business analysis, and product management Proficient in agile methodologies for streamlined project management Advanced skills in data analysis and business analysis Knowledge of marketing branding for strategic initiatives Plan, organize, and execute business analysis activities Act as a liaison between business, product management, and technology stakeholders Collaborate cross-functionally, negotiate requirements, and priorities Develop and communicate business and technical requirements Analyze and mitigate project risks, align scope with business stakeholders Support production issues, conduct data analysis using SQL Mentor junior staff, contribute to strategic initiatives Good to have retail or supply chain experience, CBAP and SAFe certifications, technology adaptation, and industry trend awareness B.Tech in Computer Science or Information Technology, combined with an MBA in Business Analytics or Information Technology preferred Roles & Responsibilities Plan, organize, and execute business analysis activities, including problem identification, process mapping, and requirements elicitation. Act as a liaison between business, product management, and technology stakeholders to understand and rationalize how technology can address business challenges. Collaborate cross-functionally, negotiating requirements and priorities across multiple groups. Develop and communicate business and technical requirements, participate in testing phases, and support software releases. Analyze and mitigate project risks, align scope with business stakeholders and development team, and facilitate post-deployment validations. Support production issues, conduct data analysis using SQL, and ensure systems meet business needs. Mentor junior staff, contribute to strategic initiatives, and uphold organizational values. Demonstrate strong analytical thinking, software development knowledge, and experience in business analysis roles. Communicate effectively with stakeholders, work in Agile environments, and have retail and checkout experience. Stay updated on technology trends, manage multiple tasks efficiently, and collaborate with internal and external teams for successful system development and configuration. Our ideal candidate Extensive experience in SQL is crucial for data analysis, business analysis, and product management roles, enabling efficient data querying, manipulation, and reporting. Proficiency in agile methodologies ensures streamlined project management and delivery, aligning with LULULEMON USA INC's dynamic environment. Advanced skills in data analysis and business analysis are essential for deriving insights, making data-driven decisions, and optimizing business processes. Knowledge of marketing branding contributes to developing strategic initiatives and enhancing brand visibility. Prioritize expertise in SQL, Data Analysis, Business Analysis, Agile Methodologies, Retail Experience, Checkout Experience, Java, Javascript, SAFe, Feature/Epic, User Stories, and Cloud-Native Technologies. A Bachelor of Technology (B.Tech) in Computer Science or Information Technology, combined with a Master of Business Administration (MBA) in Business Analytics or Information Technology, is required. Certified Business Analysis Professional (CBAP) and SAFe Agilist (SA) certifications are preferred. Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : A Bachelor of Technology (B.Tech) in Computer Science or Information Technology, combined with a Master of Business Administration (MBA) in Business Analytics or Information Technology, is required.

Job Description We are seeking a highly skilled Data Acquisition Platform Engineer to join our dynamic team and help build AI/ML-driven solutions that process and classify unstructured data from diverse sources. This role involves designing and developing Python-based systems for data acquisition, processing, and deployment on GCP cloud. You will work with cutting-edge technologies to create solutions that integrate AI/ML models to parse and make data available for downstream consumption. Your Team Responsibilities Data Acquisition: Work on building a platform that acquires unstructured data from multiple sources such as financial documents, websites, and news. Data Processing: Utilize AI/ML models to map, classify, and process unstructured data for downstream system consumption. Cloud Deployment: Deploy the application on Google Cloud Platform (GCP) through DevOps processes, ensuring seamless and scalable operations. Model Management: Create, fine-tune, and deploy Machine Learning models (LLMs) for data classification, parsing, and processing. Application Maintenance: Manage and monitor the platform through various dashboards, ensuring it meets performance and reliability standards. Your Key Responsibilities Design and develop Python-based applications that leverage AI/ML technologies for unstructured data acquisition and processing. Deploy applications using DevOps methodologies on GCP or Azure cloud environments. Build and maintain Machine Learning models for tasks such as text classification, data parsing, and integration. Create interactive dashboards for monitoring and maintaining system performance. Continuously innovate by implementing and integrating the latest advancements in AI/ML, particularly in Natural Language Processing (NLP) and Transformers. Skills and Experience That Will Help You Excel 1. Python & Machine Learning: Strong experience in Python for building scalable data systems and integrating AI/ML models. Expertise in working with Transformers, NLP, and other advanced Machine Learning models for unstructured data processing. 2. Cloud & DevOps: Experience deploying applications on Google Cloud Platform (GCP) or Azure using DevOps tools and processes. Proficiency in building scalable, cloud-native applications that are easy to maintain and monitor. 3. Data Processing & Integration: Knowledge of data parsing, classification, and processing of unstructured data (e.g., text, documents, etc.). Experience in integrating AI/ML models with data pipelines for downstream consumption. 4. Tools and Technologies: Proficiency in DevOps tools for cloud deployment and automation. Familiarity with CI/CD pipelines and tools like Docker, Kubernetes, and Terraform. What We Offer Compensation & Benefits: Transparent compensation schemes and comprehensive employee benefits tailored to your location, ensuring your financial security, health, and overall well-being. Flexible Working: Flexible work arrangements, advanced technology, and collaborative workspaces. Learning & Development: Access to Learning@MSCI, LinkedIn Learning Pro, and customized learning opportunities for continuous professional growth. Career Growth: Multi-directional career paths, offering internal mobility and professional development opportunities. Inclusive Culture: A workplace that embraces diversity and inclusion, supported by various Employee Resource Groups such as Pride & Allies, Women in Tech, and Climate Action Network. Global Network: Work with a talented network of colleagues across the globe and contribute to innovative solutions for the global investment community. Equal Opportunity MSCI is an equal opportunity employer committed to diversifying its workforce. We ensure equal employment opportunities without discrimination or harassment based on race, religion, gender, disability, or any other characteristic protected by law. MSCI is also committed to providing reasonable accommodations for individuals with disabilities.

Job Description: Develop and implement design strategies that contribute to Climate Positive, Nature Positive, and Human Positive project outcomes. Act as the main point of contact and maintain a good working relationship with clients. Negotiate fees, contracts, and deliverables both internally and externally. Drive business development centered on the Building Services team as part of the team s expansion. Lead the bidding work for the MEP team and collaborate with the wider Built Environment team for multi-disciplinary bids. Seek new opportunities with new clients and secure work for the MEP team. Handle day-to-day engineering duties, lead by example, and manage the MEP team. Ensure adequate resource levels within the office. Hire new staff and manage the team structure. Review project performance. Drive excellence within the MEP team. Conduct financial forward planning, set, manage, and achieve targets and budgets. Ensure compliance with the business management system. Candidate Specification: B.Tech/M.Tech in Mechanical Engineering or Electrical Engineering. Exemplary client management skills with the ability to maintain relationships while growing the business and winning new work and clients. Experience in the design and construction of innovative and technically challenging buildings. Preferred experience in design management and MEP Engineering Design of Healthcare, Life Sciences, and R&D facilities. Extremely commercially aware. Existing network of contacts for potential projects. Proven record of bidding and winning work. Experience managing teams of M&E Engineers and acting as project director for major projects. Ability to work with other directors to shape the future of the business and develop effective strategies to grow the business unit. Technically capable in the design of your engineering bias. We can offer (subject to Company s policy): Agile and safe working environment Competitive annual leave and sick leaves Group incentive scheme Group term life insurance, Workmen s compensation and Group medical insurance coverage Short and Long-term Global employment opportunities Global collaboration and knowledge sharing Digital Innovation and Transformation Equality, diversity and inclusion We put equality, diversity and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute. Agile working At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team and personal commitments. We embrace agility, flexibility and trust. Qualification : B.Tech/M.Tech in Mechanical Engineering or Electrical Engineering.

Overview At Microsoft, we run the biggest platform for collaboration and productivity in the world with hundreds of millions of consumer/enterprise users. Solving AI, Systems, and Compliance challenges is crucial for delivering the best-in-class productivity experiences. M365 Research is an Applied Research team driving medium and long-term product innovations. We closely collaborate with multiple research teams and product groups across the globe who bring a multitude of technical expertise in cloud systems, machine learning, privacy, and software engineering. We communicate our research both internally and externally through academic publications, open-source releases, blog posts, patents, and industry conferences. Further, we also collaborate with academic and industry partners to advance the state of the art and aim for material product impact that will affect 100s of millions of customers. We are looking for a Researcher with background in generative AI, including domain adaptation, scalable and distributed machine learning, modular AI, privacy, security, and reliability in AI, and related areas. You will be one of the key researchers driving the strategy and execution of our research agenda in a team of 40+ world class researchers. You will help drive cross-organizational execution to deliver strong business and academic impact. Microsoft s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Master's Degree in relevant field AND 3+ year(s) related-research experience OR equivalent experience. Experience participating in a top conference in relevant-research domain. Experience publishing academic papers as a lead author or essential contributor. Doctorate in relevant field OR equivalent experience. Responsibilities Conduct novel research to advance the state-of-the-art Large Language Model / Generative AI experiences to enable their deployment at scale. Work with a small group of fellow research scientists and product engineering teams to execute practical solutions for real-world impact. Drive the end-to-end research agenda from establishing the problem definition to building algorithms and models. Publish and contribute to top scientific conferences and journals. Qualification : Master's Degree in relevant field AND 3+ year(s) related-research experienceOR equivalent experience.