14774 Ml Jobs - Page 14

Job Title: Head of Digital Transformation Company: Mangalaa Traaders Location: NO:27, SINGARATHOPE, TRICHY-620002, Tamil Nadu, India About Mangalaa Traaders: Mangalaa Traaders is a well-established and respected traditional business in Tiruchirappalli, with a rich history of serving our community. We are passionate about our legacy but recognize the imperative to evolve. We are embarking on an exciting journey to modernize our operations, embrace digital platforms, leverage automation, and integrate cutting-edge technologies like AI and chatbots to enhance efficiency, customer experience, and market reach. We are seeking a visionary and experienced leader to spearhead this transformation. The Opportunity: This is a unique opportunity for a dynamic and forward-thinking Head of Digital Transformation to shape the future of Mangalaa Traaders. You will be instrumental in bridging our traditional strengths with innovative digital solutions, driving significant growth and operational excellence. If you are passionate about technology, skilled in strategic thinking, and a natural leader who thrives on guiding organizations through change, we want to hear from you. Key Responsibilities: Develop and Execute Digital Strategy: Create a comprehensive digital transformation roadmap for Mangalaa Traaders, aligning with overall business objectives and market trends. Lead Digital Initiatives: Identify, prioritize, and oversee the implementation of digital projects, including but not limited to: Transitioning traditional sales and marketing to digital platforms (e-commerce, social media marketing). Implementing automation across various business processes (e.g., inventory management, customer support, supply chain). Exploring and integrating AI/Machine Learning solutions for data analysis, customer insights, and operational efficiency. Introducing and managing chatbot solutions for enhanced customer service and internal communication. Technology & Platform Selection: Research, evaluate, and recommend appropriate digital tools, platforms, and vendors. Change Management & Culture Shift: Champion a culture of digital adoption and innovation within the organization. Develop and implement strategies to ensure smooth transitions, employee buy-in, and digital literacy across all departments. Stakeholder Collaboration: Work closely with all department heads (Sales, Marketing, Operations, Finance, etc.) to understand their needs, gather requirements, and ensure digital solutions address core business challenges. Performance Monitoring: Define key performance indicators (KPIs) for digital initiatives, track progress, analyze data, and report on the effectiveness of transformation efforts. Risk Management: Identify potential risks associated with digital transformation and develop mitigation strategies. Team Development: Potentially build and mentor a small team or upskill existing employees in digital competencies. Qualifications: Bachelor's degree in Business Administration, Information Technology, Computer Science, or a related field. A Master's degree is a plus. 8+ years of progressive experience in digital transformation, technology strategy, or a related field, with at least 3 years in a leadership or managerial role. Proven track record of successfully leading and implementing digital transformation projects in a traditional business environment. Strong understanding of e-commerce platforms, CRM/ERP systems, cloud computing, data analytics, and digital marketing technologies. Familiarity with automation tools (RPA), AI/ML concepts, and chatbot technologies. Excellent project management skills (Agile/Scrum preferred). Exceptional communication, presentation, and interpersonal skills. Strong analytical and problem-solving abilities. Demonstrated ability to drive change, influence stakeholders, and build consensus. Experience in the retail, wholesale, or trading industry (preferred, but not essential if strong transferable skills are demonstrated). Why Join Mangalaa Traaders? Be a pivotal leader in transforming a respected traditional business into a future-ready enterprise. Opportunity to make a significant and measurable impact on the company's growth and success. Work in a collaborative and supportive environment that values innovation and continuous improvement. Competitive salary and benefits package. Application Process: Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and vision for digital transformation at Mangalaa Traaders to venkeyvaa1@gmail.com. Please include "Head of Digital Transformation Application - [Your Name]" in the subject line. For any queries, you may contact us at 9965570830. Application Deadline: Open until filled Job Types: Full-time, Permanent Pay: ₹250,000.00 - ₹350,000.00 per year Schedule: Day shift Fixed shift Supplemental Pay: Commission pay Performance bonus Yearly bonus Work Location: In person

Job Description - We are seeking a Machine Learning Engineer to assist in developing and implementing object detection and AI-based predictions. You will have the opportunity to work on real-world applications and contribute to the development of novel algorithms. As a ML engineer, you’ll collaborate with our team and works various applied AI/ML tasks. Key Responsibilities - Assist in training and fine-tuning ML models for real-time AI-based tasks. Work with large datasets to prepare, annotate, preprocess, and augment data for training purposes. Implement and test model architectures to improve accuracy, speed, and performance. Help analyze and optimize model performance based on results and metrics. Document research and findings, contributing to team knowledge and project reports. Participate in code reviews and contribute to software development best practices. Stay updated with the latest trends and research in computer vision and applied ML. Qualifications - Bachelor's or master's degree program in Computer Science, Electrical Engineering, Data Science, or a related field. Solid understanding of AI/ML concepts, data cleaning, synthetic data generation and other relevant concepts. Hands-on experience with MLOps. Hands-on experience with YOLO or similar deep learning object detection frameworks (e.g., Faster R-CNN, SSD). Proficiency in programming languages such as Python Experience with OpenCV and Pytorch is a must. Experience with Statistical Analysis and modeling is a plus. Experience with CUDA and GPU acceleration is a plus. Experience with ROS and C++ is also a huge plus. Strong problem-solving skills, attention to detail, and a collaborative mindset. Preferred Skills - Knowledge of data cleaning techniques and data preprocessing methods. Familiarity with version control systems like Git . Experience in deploying models into production environments (optional). Exposure to ROS and OpenCV in C++.

Description As a Research Analyst, you'll collaborate with experts to develop cutting-edge ML and Gen AI/LLM solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. Key job responsibilities Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements Dive deep to drive product pilots, demonstrate think big and customer obsession LPs to steer the product roadmap Build scalable solutions in partnership with Applied Scientists by developing technical intuition to write high quality code and develop state of the art ML models utilizing most recent research breakthroughs in academia and industry Coordinate design efforts between Sciences and Software teams to deliver optimized solutions Ability to thrive in an ambiguous, uncertain and fast moving ML usecase developments. Familiar with ML models and work independent. Mentor Junior Research Analyst (RAs) and contribute to RA hiring About The Team Retail Business Services Technology (RBS Tech) team develops the systems and science to accelerate Amazon’s flywheel. The team drives three core themes: 1) Find and Fix all customer and selling partner experience (CX and SPX) defects using technology, 2) Generate comprehensive insights for brand growth opportunities, and 3) Completely automate Stores tasks. Our vision for MLOE is to achieve ML operational excellence across Amazon through continuous innovation, scalable infrastructure, and a data-driven approach to optimize value, efficiency, and reliability. We focus on key areas for enhancing machine learning operations: a) Model Evaluation: Expanding LLM-based audit platform to support multilingual and multimodal auditing. Developing an LLM-powered testing framework for conversational systems to automate the validation of conversational flows, ensuring scalable, accurate, and efficient end-to-end testing. b) Guardrails: Building common guardrail APIs that teams can integrate to detect and prevent egregious errors, knowledge grounding issues, PII breaches, and biases. c) Deployment Framework support LLM deployments and seamlessly integrate it with our release management processes. Basic Qualifications - Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) - 3+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms - Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory - Strong analytical thinking - Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills - Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. Preferred Qualifications - Master's degree with specialization in ML, NLP or Computer Vision preferred - 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 15 SEZ Job ID: A3001797

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY- Assurance – Senior - Digital Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Responsibilities Convert business problem into analytical problem and devise a solution approach. Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 4+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks like LangChain and Llama Index. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis, Sentence Computer Vision- Image Classification, Object Detection, Tracking etc. SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What We Look For A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Summary About NetApp We’re forward-thinking technology people with heart. We make our own rules, drive our own opportunities, and try to approach every challenge with fresh eyes. Of course, we can’t do it alone. We know when to ask for help, collaborate with others, and partner with smart people. We embrace diversity and openness because it’s in our DNA. We push limits and reward great ideas. What is your great idea? "At NetApp, we fully embrace and advance a diverse, inclusive global workforce with a culture of belonging that leverages the backgrounds and perspectives of all employees, customers, partners, and communities to foster a higher performing organization." -George Kurian, CEO Who do we look for? Are you a continuous learner who wants to join an empowered team of forward-thinking, smart, dedicated technologists that approaches every problem with fresh eyes? If you answered yes, you may be who NetApp is looking for! We recognize that not everyone fits neatly into any checklist, but below are some of the skills and experience we think will help make you successful in this role. If you don’t match everything on this list but are excited about the opportunity and think you could contribute, we’d love to hear from you. Job Requirements Technical Skills Creative and analytical approach to problem solving and analysis. Familiarity of concepts of computer architecture, data structures, standard programming practices, and cloud concepts, AI/ML method. Proficient programmer and have experience with basic programming and computing concepts: Object Oriented Programming Python, Golang, Perl, etc. Git, Perforce, etc. Basic Linux administration Software Development Documentation Technical experience in at least one of the following advanced programming and computing concepts: Containers Service-based architectures Continuous integration Resource management Cloud technologies Education Qualifications A Bachelor of Science degree in Computer Science or equivalent experience, master’s degree is a plus Minimum of 5 years of software development experience, 7 years is preferred Strong aptitude for learning new technologies Did you know… Statistics show women apply to jobs only when they’re 100% qualified. But no one is 100% qualified. We encourage you to shift the trend and apply anyway! We look forward to hearing from you. Why NetApp? In a world full of generalists, NetApp is a specialist. No one knows how to elevate the world’s biggest clouds like NetApp. We are data-driven and empowered to innovate. Trust, integrity, and teamwork all combine to make a difference for our customers, partners, and communities. We expect a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off per year to volunteer with their favorite organizations. We provide comprehensive medical, dental, wellness, and vision plans for you and your family. We offer educational assistance, legal services, and access to discounts. We also offer financial savings programs to help you plan for your future. If you run toward knowledge and problem-solving, join us. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification. Why NetApp? We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches. We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life. If you want to help us build knowledge and solve big problems, let's talk.

About The Role We are looking for an experienced scientist who relishes the opportunity to develop novel approaches and apply them at Uber's scale. Specifically, in this role, you will develop solutions to Uber grocery & retail business, improving our delivery quality, efficiency, and experience. You will collaborate with other scientists, product managers, and business teams to understand the challenges in our space, then tackle problems that no one else has solved yet. We expect you to deliver end-to-end solutions, including metrics definition, experimentation, strategic analysis, and ML to optimize delivery experience and quality, improve delivery efficiency, etc. What You Will Do Define product metrics and OKRs that help to shape the product roadmap Perform analysis/experiments to measure the improvement and shape product roadmap Build ML/science solutions to improve delivery quality and efficiency. What You Will Need Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. 3+ years of industry experience as an Applied or Data Scientist or equivalent. Experience in experimental design and analysis. Experience with exploratory data analysis, statistical analysis and testing, and model development. Familiar with machine learning as a plus Experience using Python to work efficiently at scale with large data sets. Proficiency in SQL. Preferred Qualifications 4+ years of industry experience. Experience in generating data insights and influence key stakeholders such as product, engineering, design, etc.

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the AI/ML & Data Platform team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands on experience in Python , AWS & Terraform Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred Qualifications, Capabilities, And Skills AWS Solutions Architect / Developer or any advanced level certification preferred Proficiency across the data lifecycle ABOUT US

About Company Screen Andragogy Platforms is a screen industries technology management solutions company for the screen industries. We empower industry professionals, organizations, and educational institutions with tools and data-driven insights. Committed to innovation, we leverage advanced analytics to uncover actionable intelligence that drives success across every stage of the creative process. From analysing market trends and audience preferences to optimizing production and distribution strategies, our research provides unparalleled depth to inform strategic decision-making. Job Summary: We are seeking a highly skilled AI Content & Prompt Engineering Strategist to lead AI-driven content creation, storytelling, marketing, market research and monetization. This role involves designing AI prompts, generating cinematic AI-based content, strategizing distribution, and optimizing revenue models. You will work at the intersection of AI, content creation, marketing, and audience engagement to shape the future of AI-powered storytelling. This is a 6-month internship with the possibility of transitioning into a full-time role based on company requirements and performance. Key Responsibilities 1️ AI-Powered Content Creation & Prompt Engineering Develop high-quality prompts for AI-generated content, including scripts, marketing copy, and visuals. Optimize AI-driven storytelling through Large Language Models (GPT, Claude, Gemini, etc.). Train AI models to enhance scriptwriting, narration, and storytelling coherence. Experiment with AI-generated transmedia storytelling (video, text, audio, interactive media). 2️ AI-Assisted Video Production & Cinematic Content Utilize AI video editing tools (Runway ML, Pika Labs, Adobe Firefly) to produce cinematic content. Implement AI-generated VFX, motion graphics, and automated post-production workflows. Enhance AI-generated voiceovers, dubbing, and character animation. Develop AI-based video templates for marketing, promotions, and storytelling. 3️ AI-Based Content Distribution & Audience Engagement Use AI-powered automation tools for content scheduling, distribution, and engagement. Optimize AI-generated content for SEO, social media, and multi-platform reach. Implement AI-driven audience analytics to refine content and engagement strategies. Personalize content distribution through AI-powered audience segmentation. 4️ AI-Driven Monetization & Revenue Growth Develop AI-based content monetization models (ads, memberships, NFTs, sponsorships). Optimize AI-powered ad placements to maximize revenue generation. Implement AI-driven crowdfunding and premium content subscription strategies. Automate AI-based sponsorship outreach and brand partnerships. 5️ AI-Powered Marketing & Branding Use AI-generated ad creatives and branding assets for campaigns. Implement AI-driven A/B testing, predictive analytics, and content optimization. Leverage AI automation for viral content marketing and audience growth. Integrate AI chatbots and virtual assistants for interactive content experiences. 6️ AI & Innovation in Content Strategy Stay updated on emerging AI tools and content technologies. Innovate in AI-generated storytelling, interactive content, and digital media. Experiment with next-gen AI tools for transmedia storytelling and immersive content. Collaborate with AI engineers to enhance AI-generated media outputs. 7.AI-Powered Audience & Market Research · Use AI to analyze audience behavior, market trends, and content performance. · Conduct research on AI-driven media strategies and emerging technologies. · Assist in developing AI-based content optimization strategies. Required Skills & Qualifications Core Skills: ✅ Expertise in AI content generation, prompt engineering, and storytelling. ✅ Experience with LLMs (GPT, Claude, Gemini, etc.) and AI content tools. ✅ Strong understanding of cinematic storytelling, filmmaking, and video editing. ✅ Knowledge of AI-powered marketing, branding, and monetization strategies. ✅ Ability to use AI-based audience analytics to optimize content performance. ✅ Proficiency in SEO, social media automation, and AI-driven distribution. 🎬 AI Video & Content Creation Tools: ✔ Runway ML, Pika Labs, Synthesia, ElevenLabs, HeyGen ✔ Adobe Firefly, Stable Diffusion, MidJourney, DALL·E ✔ ChatGPT, Claude, Gemini, Jasper AI, Copy AI 📈 AI Marketing & Monetization Tools: ✔ Surfer SEO, Frase AI, MarketMuse, Clearscope ✔ AdCreative AI, Chatbots, AI Ad Optimization ✔ AI-based Affiliate & Subscription Management Eligibility Criteria Education: Any degree (Currently pursuing or graduated) Preferred Backgrounds: Media & Entertainment (Film Production, Mass Communication and Design) Marketing & Digital Media Computer Science / AI & Machine Learning Business / Entrepreneurship Any creative or technical discipline with an interest in AI & storytelling Interview Process 1️ initial Screening 🔹 Discuss background, experience, and AI knowledge. 🔹 Assess expertise in prompt engineering, AI storytelling, and marketing. 2️ Technical & AI Prompt Engineering Test 🔹 Create AI prompts for storytelling, content marketing, or scriptwriting. 🔹 Develop a short AI-generated cinematic video. 🔹 Outline an AI-based content distribution strategy. 3️ Case Study & Monetization Strategy 🔹 Develop a real-world AI-driven content & revenue model. 🔹 Design an AI-powered marketing & engagement strategy. 4️ Final Culture Fit & Innovation Discussion 🔹 Share your vision for AI content creation & the future of storytelling. 🔹 Discuss how you stay updated with AI trends in media & marketing. Why Join Us? Lead the future of AI-driven storytelling & content creation. Work with cutting-edge AI tools for cinematic storytelling & marketing. Shape AI-powered monetization & revenue strategies. Innovate in audience analytics, branding, and AI-generated media. Be part of an AI-first creative revolution .

About The Team The Core Analytics & Science Team (CAS) is Uber's primary science organisation, covering both our main lines of business as well as the underlying platform technologies on which those businesses are built. We are a key part of Uber's cross-functional product development teams, helping to drive every stage of product development through data analytic, statistical, and algorithmic expertise. CAS owns the experience and algorithms powering Uber's global Mobility and Delivery products. We optimise and personalise the rider and driver experience, target incentives and introduce customizations for routing and matching for products and use cases that go beyond the core Uber capabilities. About The Role You'll be the Science Tech Lead (Individual Contributor) for a team of 5-7 members based in India, working closely with Engineering and Product leads to create and execute the direction of the product development. This includes crafting machine learning, statistics, or analytical solutions to achieve business goals, guiding the team's direction through data-driven insights and algorithmic thinking, mentoring scientists and establishing cross functional relationships with partner teams at different locations. Basic Qualifications Undergraduate and/or graduate degree in Statistics, Machine Learning, Operations Research, or other quantitative fields. 9+ years of industry experience as an (Applied / Data) Scientist or equivalent. Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development. Experience in experimental design and analysis. Proficiency using Python, Spark at scale with large data sets. Experience with tools like SQL, R in a production environment. Preferred Qualifications Master's/Ph.D. Degree in Statistics, Machine Learning, Operations Research, or other quantitative fields. Experience in tech or marketplace industries. Experienced in partnering with cross-functional stakeholders to execute decisions. Ability to mentor, coach and develop junior team members. Superb communication and organisation skills. What the candidate will do Collaborate with Engineering and Product leadership to define the technical vision and guide team direction by identifying opportunities and creating data-driven solutions. Design innovative solutions and develop prototypes for business challenges using machine learning and statistical algorithms. Establish and guide data analysis and experimentation frameworks to generate business insights and support decision-making. Work closely with Engineering and Product teams to deploy models, improve data observability and metrics, and execute experiments and detailed analyses. Design and evaluate A/B tests, switchback experiments and quasi-experiments, applying best practices in experimental methodology to ensure high-quality, unbiased insights. Partner with Scientists and Engineers to build and enhance the availability, integrity, accuracy, and reliability of data logging and data pipelines. Provide mentorship and technical leadership to other Scientists, promoting a culture of statistical excellence and continuous learning. Communicate effectively with leadership and cross-functional teams, presenting the Science team's work on models, solutions, and data analytics outcomes.

Profile Summary Domain Expert (Air Cargo), Presales, Solution Implementation, and Product Development : Professional Summary Experienced aviation and air cargo systems professional with over 15 years of industry expertise , specializing in domain consulting , solution implementation , pre-sales , and product development . Proven track record of delivering high-impact solutions for leading clients such as XX Airways, , and working with industry-standard products including Accelya . Recognized as a Subject Matter Expert (SME) in air cargo operations, with strong capabilities in aligning business needs with technical solutions, contributing to product innovation, and leading client-facing engagements globally. Core Competencies & Responsibilities Domain Expertise & Product Development Act as a trusted advisor and SME in air cargo systems, contributing to product strategy , roadmap planning, and development cycles. Analyze industry trends, regulatory changes, and customer feedback to drive new feature development and product enhancements. Collaborate with cross-functional teams, including engineering and product management, to deliver scalable, market-driven solutions. Pre-Sales Engagement Partner with sales teams to conduct client discovery sessions, understand operational pain points, and articulate tailored value propositions. Prepare and deliver compelling demos, solution proposals, and technical presentations that align with client objectives. Support the creation of RFP responses, PoCs, and solution blueprints that highlight competitive advantages. Solution Implementation & Delivery Lead or support end-to-end implementation of air cargo systems, ensuring project timelines, budget, and quality benchmarks are met. Translate complex business requirements into actionable technical specifications for development teams. Deliver client training, post-implementation support, and change management assistance to ensure smooth adoption. Industry Insight & Innovation Good understanding latest technologies and methodologies , including Artificial Intelligence (AI) and Machine Learning (ML) , Data Driven solutions ` with an emphasis on their application in cargo automation and optimization. Foster strong relationships with key stakeholders, both internally and externally, to promote solution adoption and customer success. Contribute to internal knowledge sharing, best practices documentation, and capability building. Key Highlights 15+ years in airlines and air cargo technology Clients: Qatar Airways, Boeing, SITA, Etihad Airways Domains: Air Cargo, Airline Operations, Revenue Accounting Roles: SME, Domain Consultant, Pre-sales Specialist, Product Strategist Technologies: AI/ML awareness, Integration solutions, SaaS platforms contact 9341626895

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... As a DMTS (AI Science) you will own and drive end to end solutions for Cognitive and Gen AI driven use cases. Working on designing and building scalable cognitive and generative AI solutions to meet the needs of given Business engagement. Providing technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Working in collaborative environment with global teams to drive solutioning of business problems. Developing end to end analytical solutions, and articulating insights to leadership. Provide data-driven recommendations to business by clearly articulating complex modeling concepts through generation and delivery of presentations. Analyzing and model both structured and unstructured data from a number of distributed client and publicly available sources. Assisting with the mentorship and development of Junior members. Drive team towards solutions. Assisting in growing data science practice in Verizon, by meeting business goals through client prospecting, responding to model POC, identifying and closing opportunities within identified Insights, writing white papers, exploring new tools and defining best practices. What We’re Looking For... You have strong ML/NLP/GenAI skills and are eager to work in a collaborative environment with global teams to drive NLP/GenAI application in business problems. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various stakeholders and cross functional teams to implement data science driven business solutions. You take pride in your role as a data scientist and evangelist and enjoy adding to the systems, concepts and models that enrich the practice. You enjoy mentoring and empowering the team to expand their technical capabilities. You’ll Need To Have Bachelor’s degree or four or more years of work experience. Six or more years of work experience. Data Scientist and thought leader with experience in implementing production use cases in Gen AI and Cognitive. Ten or more years of hands-on experience on implementation of large-scale NLP Projects and Fine tuning & Evaluation of LLMs for downstream tasks such as text generation, Classification, summarization, question answering, entity extraction etc. Working knowledge of Agentic AI frameworks like LangChain, LangGraph, CrewAI etc. Ability to guide the team to correctly analyze cognitive insights and leverage unstructured conversational data to create transformative, intelligent, context aware and adaptive AI systems. Experience in Machine Learning, Deep Learning model development & deployment from scratch in Python. Working knowledge of NLP frameworks and libraries like NLTK, Spacy, Transformers, Pytorch, Tensorflow, hugging face API's. Working knowledge of various supervised and unsupervised ML algorithms. Should know the various data preprocessing techniques and its impact on algorithm's accuracy, precision and recall. Knowledge & Implementation Experience of Deep Learning i.e Convolutional Neural Nets (CNN), Recursive Neural Nets (RNN) & Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), Deep Reinforcement Learning. Experience with RESTful, JSON API services. Working knowledge on Word embeddings, TF-IDF, Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context. Experience in analyzing Live Chat/call conversation with agents. Expertise in Python, Sql, PySpark, Scala and/or other languages and tools. Understanding of validation framework for generative model output and perspective on future ready systems to scale validation. Familiarity with GPU/CPU architecture and distributed computing and general infra needs to scale Gen AI models Ability to provide technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Even better if you have one or more of the following: Phd or an advanced degree or specialization in Artificial Intelligence If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

Overview We are seeking a detail-oriented and proactive Associate Manager - BIOps Program Management to support and optimize Business Intelligence Operations (BIOps) programs. This role requires a hands-on professional with a solid foundation in BI governance, data analytics, cloud-based BI platforms, automation, and operational processes. The ideal candidate will assist in implementing scalable BIOps strategies, improving BI platform performance, and ensuring the availability, reliability, and efficiency of enterprise analytics solutions. Assist in managing and maintaining BIOps programs to ensure alignment with business objectives, data governance standards, and enterprise data strategies. Contribute to the implementation of real-time monitoring, automated alerting, and self-healing capabilities to enhance BI platform uptime and performance. Support the development and enforcement of BI governance models, operational frameworks, and execution roadmaps for seamless BI delivery. Assist in standardizing and automating BI pipeline workflows, report generation, and dashboard refresh processes to improve operational efficiency. Work closely with cross-functional teams, including Data Engineering, Analytics, AI/ML, CloudOps, and DataOps, to execute Data & Analytics platform strategies and foster a data-first culture. Provide operational support for PepsiCo’s Data & Analytics program and platform management to ensure consistency with global data initiatives. Assist in enabling proactive issue identification, self-healing capabilities, and continuous platform sustainment across the PepsiCo Data Estate. Responsibilities Assist in ensuring high availability and optimal performance of BI tools such as Power BI, Tableau, SAP BO, and MicroStrategy. Contribute to real-time observability, monitoring, and incident management processes to maintain system efficiency and minimize downtime. Support efforts to optimize data models, enhance report performance, and reduce query execution times. Work closely with Data Engineering, Analytics, AI/ML, CloudOps, and DataOps teams to support data-driven decision-making. Assist in coordinating with IT, business leaders, and compliance teams to ensure BIOps processes align with regulatory and security requirements. Provide periodic updates on operational performance, risk assessments, and BIOps maturity progress to relevant stakeholders. Support end-to-end BI operations, including testing, monitoring, and sustainment of global products and projects in partnership with Data Engineering teams. Assist in maintaining service-level agreements (SLAs) and engaging with subject matter experts (SMEs) to meet business demands effectively. Partner in the work intake process and Agile management practices to ensure alignment with PepsiCo’s operational goals and objectives. Contribute to developing and maintaining operational policies, structured processes, and automation to enhance operational efficiency. Foster a customer-centric culture by advocating for customer needs and assisting in resolving challenging customer situations through active listening and problem-solving. Build and maintain strong relationships with stakeholders, ensuring transparency and managing expectations effectively. Assist in fostering a collaborative, high-performing team culture by supporting the team’s operational growth and skill development. Help ensure agility within the team by enabling swift priority changes while maintaining productivity. Leverage basic knowledge of cloud infrastructure and BI platforms to support operational requirements and build trust within the organization. Qualifications 7+ years of technology work experience in a large-scale global organization - CPG preferred. 7+ years of experience in the Data & Analytics field, with exposure to BI operations and tools. 7+ years of experience working within a cross-functional IT organization. 4+ years of experience in a leadership or team coordination role. Ability to empathize with customers, convey confidence, and explain technical issues to varied audiences effectively. Ability to prioritize customer needs and advocate for timely resolutions through appropriate channels. Demonstrated ability to take ownership, drive results, and ensure operational excellence. Passion for delivering excellent customer experiences and fostering a customer-first culture. Willingness to learn new skills and technologies in a dynamic environment. Hands-on experience in providing technical support for BI or data-related solutions, preferably in a Microsoft Azure environment. Familiarity with modern site reliability practices, including monitoring, incident management, and operational resilience. Experience contributing to operational excellence by supporting the management of BI solutions and improving system performance. Ability to analyze complex issues, identify root causes, and implement effective solutions. Ability to build and maintain strong cross-functional relationships based on trust and respect. Proven ability to drive alignment and consensus across virtual teams and multiple functions through clear communication and collaboration. Track record of achieving results in fast-paced and evolving environments. Experience working in global or multi-country environments, preferably with data and BI implementations. Understanding of key concepts related to master data management, data standards, analytics, and digital transformation. Basic knowledge of data acquisition, data catalogs, and data management tools. Strong interpersonal skills with the ability to influence and persuade stakeholders while fostering lasting partnerships

Full-Stack Flutter Developer (AI Mobile Apps) ₹ 20,000 INR / month (all-inclusive CTC) About Us: Aetherion builds next-gen AI solutions and mobile experiences. We're a lean team turning cutting-edge research into delightful apps. Role Overview: You'll build Flutter-based mobile apps that integrate with AI services, handling both frontend and backend development. Key Responsibilities: - Build responsive UIs from Figma designs with smooth performance - Implement backend services (Node/Python/Firebase) and ML model integration - Write clean, testable code with proper CI/CD and performance optimization Must-Have: - 1-2 years Flutter/Dart experience with at least one production app - Server-side JavaScript or Python skills - Basic DevOps knowledge and experience with AI/ML APIs - Clear English communication Nice-to-Haves: TFLite experience, state management knowledge, real-time database experience Perks: Remote-first, founder-led team, ML mentorship, flexible hours, access to the latest AI coding tools like cursor.

J ob Description: Job Title: Full Stack Developer Job Type: Full Time Experience Level: Mid-Level (2+ years) Location: Pune (Hinjewadi Phase 2) CTC: 4.2 LPA – 6.5 LPA Immediate Joiner About Rasta.ai: Rasta.AI is a technology-driven platform that utilizes AI, computer vision, and 360-degree imaging to monitor and maintain road infrastructure in real-time. By enabling accurate defect detection, predictive maintenance, and efficient resource allocation, we aim to create safer, smarter, and more sustainable roads. Our collaborative ecosystem brings together stakeholders to improve road safety and infrastructure management. Job Overview: We are looking for a skilled and motivated Full Stack Developer with at least 2 years of hands-on experience in building scalable web applications. You’ll be working across the stack—building responsive front-ends, designing robust backend logic, and integrating with cloud-based services. If you're passionate about clean code, great user experiences, and modern development practices, we’d love to meet you! Roles and Responsibility: ● Design and develop modern web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js). ● Build and maintain responsive user interfaces with React, Next and Tailwind CSS. ● Develop robust server-side logic and RESTful APIs using Node.js and Express.js. ● Work with databases such as MongoDB, PostgreSQL, and SQL to manage application data and structure schemas. ● Deploy and manage applications on cloud platforms like AWS (EC2, S3). ● Integrate backend services with Flask and other Python-based microservices when needed. ● Collaborate with cross-functional teams including designers and backend engineers to meet project goals. ● Implement CI/CD pipelines, version control using Git & GitHub, and follow agile development practices. ●Conduct code reviews, offer constructive feedback, and troubleshoot bugs or performance issues. ● Apply strong fundamentals in Data Structures and Algorithms for optimal performance and scalability. Skills & Qualifications: ● Bachelor’s degree in Computer Science, Engineering, or a related technical field. ● Minimum 2 years of professional experience in full stack development. ● Proficient in JavaScript (ES6+), TypeScript, and modern frontend frameworks like React.js and Next.js. ● Strong experience with Node.js, Express.js, and RESTful API development. ● Familiarity with state management tools such as Redux and Zustand. ● Experience working with real-time communication using WebSocket. ● Hands-on knowledge of MongoDB, PostgreSQL, and other relational/non-relational databases. ● Experience with cloud services, especially AWS (EC2, S3). ● Familiarity with Flask for Python-based microservices or backend APIs. ● Strong command over HTML, CSS, and utility-first frameworks like Tailwind CSS. ● Experience in using Git and GitHub for version control and team collaboration. ● Solid understanding of CI/CD pipelines and automated deployments. ● Strong foundation in Data Structures and Algorithms. ● Excellent problem-solving, debugging, and analytical skills. ● Strong interpersonal and communication skills, with the ability to work in a collaborative team environment. Nice to Have (Optional): ● Experience with GraphQL, WebSockets, or real-time data applications. ● Familiarity with TypeScript and advanced TypeScript patterns. ● Exposure to containerization (Docker), serverless architecture (e.g., AWS Lambda), and deployment automation. ● Experience with Android or Flutter for cross-platform mobile app development. ● Familiarity with AI/ML integrations, especially Generative AI (GenAI) using tools like OpenAI, LangChain, or Hugging Face. ● Basic understanding of prompt engineering, LLM APIs, or integrating AI assistants/chatbots into applications. ● Prior contributions to open-source projects or a strong personal GitHub portfolio. ● Familiarity with Agile methodologies, project management tools (JIRA, Notion, etc.), and collaborative development workflows' How to apply: Interested candidates please send their resume on hr@aiunika.com. Only Genuine applications please.

Job Description As a Network Engineer, you’ll start with intensive training in network systems, tools, and communication skills, followed by job rotations to apply your knowledge in practical settings. Working alongside experienced engineers, you’ll contribute to live projects and business operations, eventually leading to a full-time opportunity tailored to your strengths and career aspirations. Network Infrastructure (NI) is focusing on the building blocks and essential solutions of critical networks, driving digitalisation across all industries. In APAC. This program is designed to provide extensive training and hands-on experience in network technology covering latest development in Network automation, Cloud, AI/ML, followed by a comprehensive job rotation to give candidates a holistic understanding of our technology, business processes and work culture. How You Will Contribute And What You Will Learn Participate in structured technical training focused on IP, Optical, and Fixed Networks technologies. Gain hands-on experience with real network equipment, tools, and management systems. Learn fundamentals of network design, security, troubleshooting, and performance optimization. Develop professional communication and presentation skills through workshops and face-to-face sessions. Collaborate on mini projects with peers and deliver micro-teaching sessions to enhance team learning. Rotate through different functions such as integration, solution design, and project management to gain cross-functional exposure. Contribute to live projects and assist in business operations under the mentorship of experienced engineers. Upon program completion, transition into a permanent role within the NI APAC team aligned to your skills and interests. Key Skills And Experience You have: Bachelor's degree in Telecommunications, Electrical Engineering, Computer Science with min 1-3 years exp. in related field. Strong interest in automation, AI/ML, network engineering and telecommunications. Basic understanding of networking concepts and protocols. Basic knowledge in automation, development tools and programming fundamentals using Python, REST API and JSON. Proficiency in spoken and written English with strong communication and articulation capabilities. It would be nice if you also had: Can work independently and more importantly, work in a team. Self-motivated and independent to learn and adapt in a dynamic environment. Able to look at different influential factors and prioritize tasks. About Us Come create the technology that helps the world act together Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world. We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work What we offer Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered. Nokia is committed to inclusion and is an equal opportunity employer Nokia has received the following recognitions for its commitment to inclusion & equality: One of the World’s Most Ethical Companies by Ethisphere Gender-Equality Index by Bloomberg Workplace Pride Global Benchmark At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect. Join us and be part of a company where you will feel included and empowered to succeed.

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Data Scientist - Global Consumer Sentiment Index Location: Bangalore Reporting to: Product Manager - Global Consumer Sentiment Index Purpose of the role We are seeking a skilled and business-savvy Data Scientist to contribute to the development of our global consumer sentiment analytics platform. This role is critical in ensuring our data science outputs are accurate, scalable, and business-relevant, with a strong focus on NLP and model optimization. The ideal candidate will bridge the gap between advanced data techniques and actionable business insights. Key tasks & accountabilities Apply and fine-tune NLP models for sentiment analysis, aspect extraction, translation, and classification on multi-source textual data. Translate complex technical results into simple, decision-oriented insights for business teams. Ensure high model accuracy and relevance through iterative optimization and performance testing. Collaborate with functional stakeholders to understand use cases and refine problem statements. Ensure proper data modeling aligned with AB InBev’s data architecture; manage different data layers, handle data archiving, and continuously optimize the model as it matures. Involve actively during the visualization phase to ensure that final dashboards align with user needs. Collaborate with functional and technical teams to translate business questions into modeling approaches. Integrate structured and unstructured data from various platforms (e.g., social, e-commerce, forums) to enrich outputs. Maintain rigorous documentation of data science workflows and ensure reproducibility of results. Support model deployment and handover for integration into Power BI, aligning with ABI data standards. Operate in a high-pressure, fast-paced environment across a global project with multiple stakeholders, diverse markets, and high-volume datasets. Ability to manage expectations, adapt to evolving requirements, and deliver results across geographies is critical. Work under the guidance of the Lead Data Scientist and support junior analysts when needed. Business Environment Challenges Lack of structured data; handle noise and ambiguity in user-generated content. Deliver actionable insights within tight timelines and changing inputs. Build scalable models that adapt across markets with unique consumer behaviors. Evaluation Criteria Quality, accuracy and impact of models as measured by stakeholder feedback and usage in decision-making. Ability to communicate technical output clearly to non-technical stakeholders. Delivery of milestones within agreed timelines for each project phase. Continuous innovation and problem-solving initiative demonstrated in improving the models and insights. 3. Qualifications, Experience, Skills Level of educational attainment required Bachelor’s or Master’s in Data Science, Computer Science, Statistics, or a related quantitative field. Previous work experience 4 - 6 years in data science with hands-on experience in NLP projects. Strong track record of working with social media, reviews, or consumer sentiment data. Prior involvement in integrating models with BI platforms, ideally Power BI. Experience working with CI/CD tools (e.g., Azure DevOps). IT Skills: Python (essential), SQL, R, ML/DL frameworks (TensorFlow, Scikit-learn, SpaCy, HuggingFace) Experience with APIs (Twitter, Reddit, Facebook, YouTube, etc.) Familiarity with cloud environments (Azure preferred) Knowledge of Power BI integration and data pipelines Technical Competencies: Essential: NLP, Sentiment Analysis, Topic Modeling, Text Classification Python, SQL, Machine Learning, Model Explainability API integration, Power BI readiness, data engineering fundamentals Text preprocessing, tokenization, and vectorization Sentiment analysis and topic modeling fundamentals Efficient coding practices and code optimization Working with multilingual corpora and translation APIs Desirable: Knowledge of social listening tools (e.g., Brandwatch, Talkwalker) Advanced Data Visualization techniques Experience with multilingual data sets And above all of this, an undying love for beer! We dream big to create future with more cheers.

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Experience: 12 – 15 Years Location: India Industry: Retail Function: Merchandising Analytics Employment Type: Full-time ________________________________________ About The Role We are seeking a seasoned Merchandising Analytics expert with a deep understanding of retail and merchandising, combined with strong pre-sales, consulting, and solutioning skills. This individual will play a key role in shaping client strategy and winning business through compelling analytics-led merchandising solutions. ________________________________________ Key Responsibilities Categorized by Capability Area Strategic Advisory Act as a trusted advisor to clients by translating merchandising and category challenges into data-driven strategies. Lead client discovery workshops, assess current-state analytics maturity, and develop transformation roadmaps. Advise retailers on AI/ML use cases for pricing, assortment, inventory, and promotion optimization. Share thought leadership via industry forums, whitepapers, and client presentations. Business Development Support the sales team in qualifying leads, understanding client pain points, and positioning analytics solutions effectively. Own the solution design during RFP/RFI responses and client proposals. Build strong client relationships, influence buying decisions, and drive revenue growth in merchandising analytics offerings. Develop business cases and ROI models to help clients quantify the value of proposed solutions. Product Management Liaise between clients and product teams to align product capabilities with market needs. Provide inputs into product roadmaps, based on emerging trends and customer feedback. Conceptualize new analytics modules (e.g., markdown simulator, OTB optimizer) tailored to merchandising use cases. Create user stories and functional requirements for enhancements and demo assets. Solutioning Expertise Design end-to-end analytics solutions for merchandising use cases: assortment optimization, price elasticity, inventory planning, etc. Build and present proof-of-concepts, demos, and visualizations using tools like Power BI/Tableau. Collaborate with data science and engineering teams to validate feasibility and scalability of proposed solutions. Ensure seamless handover to delivery teams with clear documentation and expectations. ________________________________________ Required Qualifications Experience: 10+ years in the retail domain, with at least 3–5 years focused on merchandising (buying, planning, category management, etc.). Strong domain expertise across retail KPIs, merchandising workflows, and the impact of analytics on product, price, promotion, and placement. Demonstrated success in a pre-sales, consulting, or solution architect role for retail clients. Proficient in storytelling and stakeholder engagement, with the ability to communicate complex analytics solutions to non-technical audiences. Experience working with global retailers or in an omnichannel retail environment is highly desirable. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

About The Job We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions. Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions that will accelerate Manufacturing & Supply performance and help bring drugs and vaccines to patients faster, to improve health and save lives. What You Will Be Doing As part of the Digital M&S Foundations organization, the data modeler designs, implements, and documents data architecture and data modeling solutions, which include the use of relational and dimensional databases. These solutions support Manufacturing and Supply Data and Analytical products and other business interests. The Successful Candidate Will Be responsible for the development of the conceptual, logical, and physical data models in line with the architecture and platforms strategy Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively with the M&S teams. Main Responsibilities Design and implement business data models in line with data foundations strategy and standards Work with business and application/solution teams to understand requirements, build data flows, and develop conceptual/logical/physical data models Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, and analytic models. Hands-on data modeling, design, configuration, and performance tuning Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks. Skills Bachelor’s or master’s degree in computer/data engineer technical or related experience. 8+ years of hands-on relational, dimensional, and/or analytic experience, including 5+ years of hands-on experience with data from core manufacturing and supply chain systems such as SAP, Quality Management, LIMS, MES, Planning Experience hands-on programing in SQL Experience with data warehouse (Snowflake), data lake (AWS based), and enterprise big data platforms in a pharmaceutical company. Good knowledge of metadata management, data modeling, and related tools: Snowflake, Informatica, DBT Experience with Agile Good communication, and presentation skills Why choose us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave. Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas. Pursue Progress . Discover Extraordinary . Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null

🧠 Data Science Intern (Remote) Company: Coreline Solutions Type: Internship (3 to 6 Months) Mode: 100% Remote Stipend: Unpaid (Full-time opportunity may be offered upon successful completion) 🌐 About Us Coreline Solutions is a digital consulting and tech company focused on building smart, data-driven solutions for modern businesses. From AI integration to analytics platforms, we empower companies through technology, data science, and intelligent systems. Our team believes in continuous learning, transparency, and innovation — and we’re looking for passionate interns to grow with us. 🎯 About the Internship We’re seeking a Data Science Intern who is eager to explore real-world applications of machine learning, data analysis, and automation. You’ll be working alongside our engineering and analytics team to contribute to projects that improve business processes, insights, and outcomes. This internship is entirely remote, giving you the flexibility to learn and contribute from wherever you are. 📌 Key Responsibilities Collect, clean, and preprocess structured and unstructured data Perform exploratory data analysis (EDA) to extract insights Build and evaluate predictive models using Python and ML libraries Visualize data through tools such as matplotlib, seaborn, or Power BI Support teams with statistical analysis, feature engineering, and reporting Document models, results, and learnings in a collaborative environment ✅ What We’re Looking For Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or a related field Good understanding of Python, NumPy, pandas, scikit-learn, and basic ML algorithms Familiarity with SQL and data visualization tools Analytical thinking and a curiosity for solving complex problems Ability to work independently and meet project deadlines remotely 💡 Bonus Skills (Preferred but Not Required) Exposure to cloud services (AWS, GCP, or Azure) Basic knowledge of Git/GitHub for version control Interest in NLP, deep learning, or data engineering 🎁 What You’ll Gain Hands-on experience with live data projects and business use-cases Mentorship from experienced data scientists and tech leads Internship Certificate upon completion Letter of Recommendation for high-performing interns Possibility of full-time placement based on performance and company needs 🤝 Our Commitment We are proud to be an equal opportunity organization. Coreline Solutions values diversity and is committed to creating an inclusive space where all team members, interns, and applicants feel respected and supported. All internship communications and personal data will be handled responsibly and securely, in alignment with LinkedIn’s Privacy Policy and Professional Community Policies. 📬 How to Apply To apply, send your updated resume and a brief introduction to: 📩 hr@corelinesolutions.in Use the subject line: "Application – Data Science Intern – [Your Full Name]" 📌 Before applying, make sure your LinkedIn profile reflects your latest skills and projects.

CSQ326R223 Mission The Machine Learning (ML) Practice team is a highly specialized, collaborative customer-facing ML team at Databricks. We deliver professional services engagements to help our customers build, scale, and productionize the most cutting-edge ML and GenAI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We are investing heavily in continuing to grow our global team, and looking for a world-class Manager to lead our ML Practice in India. You will report directly to our Global Delivery Center (GDC) Leader and dotted line to our ML Professional Services Global Leader. This role can be remote, with a preference for candidates located in Bangalore. The Impact You Will Have Manage hiring, onboarding, and growing the ML Practice team in India, roughly doubling the team size by the end of the year. Develop relationships with key customers and partners, scope customer engagements, and manage escalations Align with Professional Services and Sales leaders both in the Global Delivery Center and globally Collaborate cross-functionally with the R&D team to define priorities and influence the product roadmap Lead strategic PS initiatives, practice development, and processes Own OKRs for revenue and utilization, with a focus on driving Databricks consumption Lead Databricks cultural values by example and champion Databricks brand What We Look For 3+ years experience managing, hiring, and building a team of motivated data scientists/ML engineers, including establishing programs and processes Deep hands-on technical understanding of data science, ML, GenAI and the latest trends While managers do not deliver customer engagements directly, we expect that individuals are able to get hands-on in the Databricks product to demo to customers, dogfood product features to provide input to R&D, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Passion for collaboration, life-long learning, and driving business value through ML Company first focus and collaborative individuals - we work better when we work together Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience [Preferred] Experience working with Databricks and Apache Spark [Preferred] Experience working in a customer-facing role About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

About BharatNXT Small businesses often face operational cash flow challenges. BharatNXT bridges these gaps with on-demand financing options, streamlining payments (vendors, rent, taxes, utilities, etc.) and offering credit management tools to empower these businesses to seize opportunities and grow. Since inception, we have unlocked over $1+ Bn in credit across 1.7+ Mn small businesses. BharatNXT is part of the Google for AI startups (Link) cohort and also featured in leading publications like Forbes (Link). Are you ready to shape the future of fintech in India? We're seeking a dynamic individual to be part of the Product function.. As a Product Manager at BharatNXT, you'll be given a very open-minded and collaborative environment to really drive industry-leading innovation and deliver exceptional solutions. Key Responsibilities: Digital Lending (Web+App): Own the development and enhancement of the web and mobile lending journey end-to-end to achieve business objectives and to serve the customer’s needs. Define, contribute, and execute the product strategy aligned with the company's overall business objectives. Identify market opportunities and track emerging trends in credit products, with a focus on business loans, personal loans, and credit underwriting. Leverage a deep understanding of credit underwriting processes, credit rule engines, bureau integrations, and regulatory guidelines to build scalable and compliant products. Conduct thorough market research and competitive analysis to inform product decisions. Product Development: Define product requirements and create detailed product specifications with PRD/BRD and wireframes. Collaborate closely with cross-functional teams (Engineers, Data, Business, Risk & Marketing) to deliver high-quality products. Prioritize features and functionalities based on business impact and customer needs. Oversee the entire product development lifecycle, from ideation to launch and growth support. Contribute to the overall product features and roadmap, both internal and external. Data and Analysis: Data first mindset. Strong knowledge of analytical tools like Clarity, Power BI, and MoEngage to analyse the funnel to make informed decisions. Understand numbers, have an analytical and data-driven approach in day-to-day work that shall translate into every action that you propose & execute as part of the product launch & enhancement. Define and monitor key performance metrics to evaluate the success of lending products. Work on integrating alternative data sources and developing advanced AI models for credit risk assessment. User Experience: High on user empathy, so you can be the voice of the customer and solve real problems through your products. Conduct user research and usability testing to gather feedback and optimize the user experience. Collaborate with UX designers to create visually appealing and engaging user interfaces. Stakeholder Management: Work with the business and marketing team to develop a comprehensive go-to-market strategy. Collaborate with marketing and sales teams to educate the market and generate demand for the product. Build, iterate, and improve the product as required to achieve the business objective. Develop a Credit Rule Engine/BRE to enable and fast-track lending capabilities. Required Skills and Experience: Minimum 3-5 years of relevant experience in digital lending at Fintech or a tech-first NBFC, preferably a startup. Strong understanding of digital lending flows, funnels, credit underwriting, bureau data usage, and regulatory compliance. Deep knowledge of AI, ML, and data science techniques, particularly as applied to credit risk modeling. Excellent communication, analytical, and problem-solving skills. High agency, collaborative, and go-getter attitude. Good with tools like Jira, Microsoft Clarity, Power BI, MoEngage, Mixpanel, and Postman. Additional Considerations: Domain Expertise: A strong understanding of credit products, particularly unsecured lending, BNPL, or credit lines, is highly desirable. Technical Proficiency: Experience with Excel, SQL, and AI Applications (Cursor, Lovable & Cluade). Business Acumen: A strong understanding of various business models will be key. Strong drive and passion: You absolutely need this to thrive in a fast-paced startup environment. Qualifications: More than educational qualifications, we value experience and passion (MUST) PM 3-5 years of relevant work experience in Product Management (Anyone with no Product Management experience will be automatically filtered out, pls do NOT apply) Prior Fintech experience - Highly preferred Prior startup experience/BFSI/Financial Services experience is also valuable We are a small team of highly motivated people and want people who have a strong sense of ownership and passion for what they do. If you are expecting a 9-5 types, very well defined structured role - this is not the place for you. But if you are looking for a steep learning curve building innovation in the payment space and are ready to roll up your sleeves to get work done, we would love to hear from you!

Job Description Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. Are you ready to join a dynamic, growing team revolutionizing the onboarding process within Securities Services? As an Associate-level Product Development Manager, you'll play a key role in developing and delivering the strategic roadmap for the On-boarding Transformation, building an application from scratch with a focus on innovative solutions that enhance business benefits, client experience, efficiencies, and controls. This is your chance to be part of a team pioneering data-promote solutions, leveraging advancements in Machine Learning and AI. As an Associate-level Product Development Manager within the On-boarding Transformation team, you will play a crucial role in shaping and executing the vision and strategic roadmap for the project. This position provides the opportunity to construct an application from scratch, with a focus on pioneering solutions that amplify business advantages, client experience, efficiencies, and controls. Job Responsibilities Help develop strategic vision and solutions for end-to-end onboarding platforms in collaboration with firm wide teams, and Securities Services teams with a sharp focus on business benefits, client service, and controls Own data strategy and governance to enable development of data-driven onboarding platforms. Involvement in driving overall Securities Services Data Strategy by making onboarding data ready for future AI/ML use cases. Owning end-to-end of the product & process, and the ability to interpret how alternative courses of action impact downstream processes and groups. Interact with all levels of management and operations to review, understand, document, and communicate objectives, business/program needs, risks, constraints and issues. Document traceability of requirements to business objectives – ensure that all requirements are all in support of the business case. Prepare business requirements, review functional requirements, monitor system development/ implementation, User Acceptance testing, production deployment and roll-out, in alignment with business priorities, ensuring product is delivered on time and on budget. Support operations team in defining operational processes to support the product. Identify and manage risks/issues; create solutions to address limitations while minimizing time to market and minimizing control/operational risk. Required Qualifications, Capabilities And Skills Minimum 5 years of experience in financial services product development or onboarding-focused roles, with a strong emphasis on business analysis, data governance and change management. Proven project management skills and a track record of delivering complex projects. Energetic self-starter that takes initiative and has demonstrated effectiveness working independently and in multi-disciplinary team with the ability to communicate clearly and confidently and influence senior stakeholders. Strong problem-solving skills, data analytics capabilities, and a continuous improvement mindset. About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

BUSINESS ANALYST / PROGRAM MANAGER No. of Positions:01 Experience Required:5 to 10 years Position Type:C2C Duration of Contract: 6 to 9 Months Working Location: Mumbai onsite Budget: Open Position Overview: We are seeking a versatile and detail-oriented Business Analyst / Program Manager to support NBFC our client in accelerating the documentation of existing Qlik Sense dashboards and Regulatory Reports. The ideal candidate will play a pivotal role in coordinating and executing documentation efforts, ensuring technical and functional clarity, and facilitating timely sign-offs. The role also includes engaging with stakeholders and presenting regular progress updates, risks, and milestones. Key Responsibilities: · Develop and maintain comprehensive technical and functional documentation for existing Qlik Sense dashboards and Regulatory Reports/dumps. · Ensure traceability of data sources, transformation logic, and business rules across platforms including Snowflake, Talend, Oracle, and Qlik. · Capture source field definitions and data lineage, acknowledging that reports may pull data from multiple systems. · Stakeholder Engagement:: Conduct walkthrough sessions with Business Analysts and end-users to validate documentation. · Gather feedback and obtain formal sign-off to ensure alignment with business requirements. · Weekly Presentations: Prepare and present updates on the progress & Highlight progress, risks, and upcoming milestones in weekly team meetings. · Experience: · 5 to 10 years of experience in Business Analysis and/or Program Management. · Proven experience in documenting Business Analysis and Intelligence reports and data platforms. · Strong knowledge of Qlik Sense, Snowflake or Talend, and Oracle · Excellent problem-solving, analytical, and communication skills. · Strong interpersonal and collaboration abilities across cross-functional teams. Educational Qualifications: Bachelor’s degree in computer science or Information Technology or Engineering or Business Administration , or a related field is required. Good-to-Have skills: Indian NBFC Context 1. Domain & Functional Understanding NBFC Lending Lifecycle Knowledge : Loan origination, underwriting, disbursement, servicing, collections Understanding RBI regulations, NBFC classification (deposit-taking, non-deposit), Fair Practices Code, KYC/AML norms. Exposure to Loan Products : Personal loans, gold loans, SME loans, vehicle finance, digital lending Credit Bureau Data Handling : Familiarity with CIBIL/CRIF reports & score interpretation Retail & SME Lending Processes : Familiarity with unsecured & secured lending, underwriting, credit scoring models. Collections & Recovery Practices : Knowledge of early-stage and late-stage collection workflows. Digital Lending Models : Insight into co-lending, BNPL (Buy Now Pay Later), DSA/DST models, and fintech partnerships. 2. Data & Analytics Skills Advanced Excel : Data cleaning, formulas, pivot tables, macros for loan and risk reports SQL (Intermediate to Advanced) : Writing efficient queries to pull customer, loan, payment, and delinquency data Data Visualization Tools : Power BI, Tableau, Qlik — useful for dashboards on collections, portfolio quality, etc. Data Profiling & Quality Checks : Detecting missing, duplicate, or inconsistent loan/customer records 3. Tools & Technologies Experience with NBFC Systems : LOS (Loan Origination System), LMS (Loan Management System), and Core NBFC Platforms like FinnOne, MyFin, BRNet, Vymo, Oracle Fusion, OGL, Kiya, Fincorp, Hotfoot (sanction), Core Banking Systems, or in-house NBFC systems. ETL Knowledge (Good to Have) : Talend, Informatica, SSIS for understanding backend data flows Python (Basic Scripting) : For EDA (exploratory data analysis) or automating reports — pandas, NumPy CRM/Collection Tools Insight : Salesforce, LeadSquared, or collection platforms like Credgenics API/Data Integration : Understanding of how NBFCs integrate with credit bureaus (CIBIL, CRIF), Aadhar, CKYC, bank statement analysers, etc. 4. Business Metrics & Reporting Understanding of NBFC KPIs : NPA %, Portfolio at Risk (PAR), Days Past Due (DPD) buckets, Collection Efficiency, Bounce Rate Regulatory Reporting Awareness : RBI-mandated MIS reports or returns (even if not the owner, knowing the data helps) 5. Compliance, Data Privacy & Risk Data Privacy Sensitivity : Understanding DPDP Act compliance for customer data handling Risk Scoring Models (Good to Have) : Working knowledge of inputs used in internal credit models 6. Project & Communication Skills Agile Tools : JIRA, Confluence for sprint planning & requirement documentation formats Strong Data Storytelling : Presenting insights and trends clearly to product, risk, or operations teams Collaboration with Data Engineering Teams : Translate business needs into data requirements, schemas, and validations Stakeholder Communication : Ability to work with risk, compliance, IT, operations, and business heads. Change Management Readiness : Supporting adoption of new systems/processes. Presentation & Reporting : Converting findings into clear, impactful reports or dashboards. Bonus Skills (Niche but Valuable) Working with UPI/NACH/Account Aggregator datasets Knowledge of data lakes or cloud-based analytics stacks (e.g. Snowflake, AWS Redshift) Hands-on with A/B testing or loan decisioning analytics Familiarity with AI/ML usage in loan decisioning .

🚀 We’re Hiring! Join IIQF’s Growth Story 🚀 Role : Senior Manager – Educational Sales | Domain Specialist 📍 Location: Mumbai (Hybrid/Onsite) 🎯 Domain: Finance | AI/ML | Data Science | EdTech Are you passionate about the future of finance and technology? Do you have a strong foundation in Finance, a love for AI/ML and Data Science, and a consultative flair for guiding others? The Indian Institute of Quantitative Finance (IIQF) is looking for a Senior Manager who can blend financial domain expertise with educational sales to help us grow and transform careers. 🔹 What You’ll Do: ✔ Drive enrollment for our flagship Quant Finance, AI/ML & Data Science programs ✔ Consult with prospective learners and guide them toward their ideal career path ✔ Collaborate with industry HR/L&D teams for strategic partnerships ✔ Share insights and report on learner trends and success metrics 🔹 What We’re Looking For: ✅ Strong finance background (CFA/FRM is a plus) ✅ Hands-on understanding of AI/ML/Data Science concepts ✅ 3–7 years in sales, consulting, or academic advising (BFSI or EdTech preferred) ✅ Excellent communication, empathy, and a passion for education At IIQF, we don’t just offer courses—we shape careers in the new-age world of finance. 🔗 Apply now or refer someone you know who could be a great fit! 📧 DM me or send profiles to: https://www.naukri.com/job-listings-senior-manager-educational-sales-with-finance-domain-specialisation-indian-institute-of-quantitative-finance-mumbai-3-to-7-years-230625001424 Let’s build the future of Quant Finance together! 💡📊 #Hiring #QuantFinance #AIinFinance #ML #FinTech #EdTech #EducationSales #FinanceJobs #IIQF #CareerGrowth

We are seeking a highly motivated and experienced Enterprise Architect with a strong focus on Product Engineering, Product Development and Cloud Native Product Architecture to join our growing team. You will play a critical role in shaping the technical vision and architecture of our product portfolio, ensuring alignment with business strategy and long-term scalability. You will collaborate with engineering leads, product managers, engineers, and other stakeholders to define and evolve the product architecture roadmap, driving innovation and delivering exceptional customer value. Job Description: Major Responsibilities: Product Architecture Vision: Define and champion the overall product architecture vision, strategy, and roadmap, considering scalability, performance, security, maintainability, and cost-effectiveness. Architecture Design & Guidance: Lead the design and evolution of key product architectures, providing guidance and direction to development teams on architectural best practices and patterns. Well-Architected Patterns: Expertise in well-architected patterns across logical and deployment views of the architecture, and ability to apply them appropriately to shape the solution. Cloud Engineering: Strong depth in cloud engineering and full-stack cloud solutions, that cut across front-end, back-end, APIs and micro services, workflows and automation. Technology Evaluation & Selection: Research, evaluate, and recommend appropriate technologies, platforms, and frameworks to support product development and innovation. Collaboration & Communication: Collaborate effectively with product managers, engineers, business stakeholders, and other architects to ensure alignment on architectural decisions and facilitate communication of architectural concepts. Architecture Governance: Establish and enforce architectural principles, standards, and guidelines across the product development organization. AI driven Workflows and Automation : Good understanding of how AI and LLMs can be used to drive workflows, and automation of business processes. Good understanding of Agentic AI approaches to workflow automation. Some hands-on experience with Agentic AI workflows is highly desirable. Data Architecture: Good understanding of how to manage data-driven solutions and applications, leveraging data as a core component of the solution. Good understanding of end-to-end data lifecycle and data workflows. Insights and Reporting: Good undersatnding of how to leverage data for insights and centralized reporting. Solution Architecture: Contribute to the design of specific solutions within the product portfolio, ensuring alignment with the overall product architecture. Technical Debt Management: Identify and address technical debt within the product architecture, developing strategies for its mitigation. Mentoring & Coaching: Mentor and coach development teams on architectural best practices, promoting a culture of architectural excellence. Market & Technology Awareness: Stay abreast of industry trends, emerging technologies, and competitive landscape, identifying opportunities for innovation and improvement. Documentation: Create and maintain architectural documentation, including high-level designs, architectural diagrams, and API specifications. Required Skills: Enterprise Architecture: Deep understanding of enterprise architecture principles, frameworks, and their application in large-scale product development. Ability to define and champion architectural vision and strategy. Product Architecture: Proven ability to define and evolve product architecture roadmaps, aligning with business strategy and long-term scalability goals. Experience with designing and implementing modular, extensible, and maintainable product architectures. Platform Engineering: Extensive experience in building and managing scalable cloud platforms, including platform architecture, design patterns, and best practices. Expertise in platform engineering principles and their application to product development. Cloud Engineering: Expertise in architecting, building, and deploying scaled cloud platforms and solutions, leveraging modern cloud engineering best practices. Minimum of 10+ years of experience in architecting large-scale cloud solutions. Experience with hybrid and multi-cloud environments. Cloud-Native Application Development: Strong experience in developing and deploying cloud-native applications using containerization (Docker, Kubernetes), microservices architectures, and serverless technologies (Azure Functions, etc.). API Management & Integration: Expertise in API design, development, and management. Strong experience in defining, designing, and deploying enterprise APIs for consumption across multiple services and applications. Experience with API gateways and related technologies. Understanding of API-driven architecture and its role in product ecosystems. DevOps & Automation: Deep understanding of DevOps practices, including CI/CD pipelines, infrastructure as code (Terraform, ARM Templates), and automated testing. Experience with building and managing automated deployment pipelines. Data & AI Skills Data Platforms & Architecture: In-depth knowledge of data architecture principles and patterns. Experience with designing and implementing data platforms, data warehouses, data lakes, and data pipelines. Expertise with relevant technologies like MongoDB, Azure Cosmos DB, Snowflake, and Microsoft Fabric. AI-Enabled Automation: Understanding of modern enterprise integration and automation facilitated via AI/ML workflows. Experience with integrating AI/ML capabilities into product architectures and platforms. Knowledge of relevant AI/ML platforms and tools. Knowledge of Agentic AI workflows, and applying Agentic AI principles to solve for business process automation. Modern Full-Stack Dev - Front-End & Back-End Skills (Focus on Architectural Implications) Modern Front-End Architecture: Experience with modern front-end technologies (React, Redux) with a focus on architectural considerations like state management, component-based architecture, performance optimization, and scalability. Back-End Architecture & Microservices: Strong proficiency in developing and managing back-end services and APIs (Nest.js, Express.js, Node.js, Python) with a focus on microservices architecture, RESTful services, and API design. Experience with distributed systems and related architectural patterns. BFF and GraphQL Frameworks: Strong proficiency in BFF and GraphQL, including federated graphs and supergraph / subgraph architectures. Integration Workflows: Strong understanding of integration workflows and multiple approaches + design patterns to accomplish the same. This should include pro-code workflows, low-code integration workflows, and Agentic AI approaches to building integration workflows. Other Critical Skills: Technology Evaluation & Selection: Ability to research, evaluate, and recommend appropriate technologies, platforms, and frameworks to support product development and innovation. Technical Debt Management: Experience in identifying and addressing technical debt within product architectures and platforms. Mentoring & Leadership: Demonstrated experience in leading and mentoring engineering teams, fostering a culture of architectural excellence. Pragmatic Solutions: Ability to propose multiple solution options, drive constructive discussions on trade-offs and choices, and push for pragmatic solutions balancing the needs of the business, with the right tech fit. Industry Exposure and Experience: Minimum 18+ years of experience and credible exposure to Cloud Engineering, Cloud Native Apps and Platforms, and Enterprise Architecture Minimum 10+ years of architecture experience with 1 major Cloud Platform – preferred is Azure Cloud. Architecture certification with 1 major Cloud Platform (preference is Azure Cloud) is highly desirable. Experience within the Creative Production and Creative Technology domain, and a high-level understanding of creative processes, is highly desirable Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent