JOB DESCRIPTION – PRINCIPAL About Us Established in 2004, we are a chain of schools offering national and international curriculums across 39 schools pan India. With our well-researched curriculum, modern teaching methodologies and wide range of extra-curricular activities and facilities we constantly strive to enthuse our students with fascinating learning experiences every single day. Role Principal Department Principal’s Office Designation Principal Band and Grade L1 Location School Primary Purpose The primary purpose of Principal should be to maintain high standard of academic performance. Must be a strategic leader for school’s improvement and development. Should effectively guide and motivate staff to drive their best as per the VIBGYOR philosophy. Key Responsibilities Financial Operation: Ensure proper preparation of the School's Budget and management of School's P&L Ensure timely collection of Fee and monitor Fee receivables Must ensure cost optimization by monitoring vendors and other payments. Academic Operation: Ensure Optimum utilization of Teaching Staff by giving required WL and delegating additional responsibilities Ensure statutory regulations as per Board and internal process is followed Should ensure timely compliance of board requirements Ensure timely coordination and correspondence with Government authorities and Boards Ensure effective implementation of Curriculum and other activities as per the guidelines shared by VERTEX team Ensure school events are conducted effectively Manage PTA and other Parent Engagement Activities effectively. Handle Parent concerns and feedback effectively. Should conduct Teacher / Coordinator observations and giving constructive feedback Ensure observations by Coordinators/ VP are done as per schedule Must send reports to VERTEX Academics as required Oversee Sports and Performing Arts Should promote registration for Value Added services Admin Operation: To Coordinate and supervise the administration activities. Ensure proper audit is conducted, effective feedback is generated while meeting the compliance. To ensure all documents are maintained neatly and correctly by respective departments. Must have active involvement in admission and marketing planning Should participate in planning of new projects in discussion with the management. Co-ordinate with the various departments In CO for the smooth functioning of school operations. Should offer solutions and suggestions regarding compliance to various authorities. Must notify immediately the Board, and appropriate personnel and agencies when there is evidence of child abuse, child neglect, severe medical or social conditions etc. Ensure effective communication with students, staff and parents are maintained Ensure and guide the Relationship Cell team to resolve parent concerns/queries effectively. Ensure all SRs are closed effectively within TAT Ensure implementation of any other assignments as directed by the managing committee HR Operation: Ensure that there is maximum adherence to HR Policies. Ensure the Human Resources team recruits efficient resources within the prescribed time frame. Should effectively control attrition by facilitating a conducive work environment for the school staff. Ensure teaching and non-teaching staff are taken through induction program at regular intervals Identify talents, grooming and training to shoulder further responsibilities Handle Staff Grievance and organizing Staff engagement activities Admission Management: Ensure effective Planning of LC analysis, retention of LCs & Student Projection Ensure that the admission targets for the academic year are met by effectively support the RE team. Effectively lead the admission process at the center whereby ensuring that USPs associated with the VIBGYOR brand is percolated at the parent level. Ensure admission targets are taken care of by effectively training and mentorship of the Relationship Cell team. Desired Qualification B.Ed. /M.Ed. in any specialization. Experience 10 – 15 years Expected Competencies Situational Adaptability Compassion and patience Customer Service Proactive, ethical, and responsible nature Accountability Decision Making Result Driven Communication Interpersonal Skills and effective leadership Collaboration Optimizing work processes Time management Critical Thinking Skills and Knowledge skilled in leadership, relationship-building, organization, communication, and goal setting Show more Show less

JOB DESCRIPTION – PRINCIPAL About Us Established in 2004, we are a chain of schools offering national and international curriculums across 39 schools pan India. With our well-researched curriculum, modern teaching methodologies and wide range of extra-curricular activities and facilities we constantly strive to enthuse our students with fascinating learning experiences every single day. Role Principal Department Principal’s Office Designation Principal Band and Grade L1 Location School Primary Purpose The primary purpose of Principal should be to maintain high standard of academic performance. Must be a strategic leader for school’s improvement and development. Should effectively guide and motivate staff to drive their best as per the VIBGYOR philosophy. Key Responsibilities Financial Operation: Ensure proper preparation of the School's Budget and management of School's P&L Ensure timely collection of Fee and monitor Fee receivables Must ensure cost optimization by monitoring vendors and other payments. Academic Operation: Ensure Optimum utilization of Teaching Staff by giving required WL and delegating additional responsibilities Ensure statutory regulations as per Board and internal process is followed Should ensure timely compliance of board requirements Ensure timely coordination and correspondence with Government authorities and Boards Ensure effective implementation of Curriculum and other activities as per the guidelines shared by VERTEX team Ensure school events are conducted effectively Manage PTA and other Parent Engagement Activities effectively. Handle Parent concerns and feedback effectively. Should conduct Teacher / Coordinator observations and giving constructive feedback Ensure observations by Coordinators/ VP are done as per schedule Must send reports to VERTEX Academics as required Oversee Sports and Performing Arts Should promote registration for Value Added services Admin Operation: To Coordinate and supervise the administration activities. Ensure proper audit is conducted, effective feedback is generated while meeting the compliance. To ensure all documents are maintained neatly and correctly by respective departments. Must have active involvement in admission and marketing planning Should participate in planning of new projects in discussion with the management. Co-ordinate with the various departments In CO for the smooth functioning of school operations. Should offer solutions and suggestions regarding compliance to various authorities. Must notify immediately the Board, and appropriate personnel and agencies when there is evidence of child abuse, child neglect, severe medical or social conditions etc. Ensure effective communication with students, staff and parents are maintained Ensure and guide the Relationship Cell team to resolve parent concerns/queries effectively. Ensure all SRs are closed effectively within TAT Ensure implementation of any other assignments as directed by the managing committee HR Operation: Ensure that there is maximum adherence to HR Policies. Ensure the Human Resources team recruits efficient resources within the prescribed time frame. Should effectively control attrition by facilitating a conducive work environment for the school staff. Ensure teaching and non-teaching staff are taken through induction program at regular intervals Identify talents, grooming and training to shoulder further responsibilities Handle Staff Grievance and organizing Staff engagement activities Admission Management: Ensure effective Planning of LC analysis, retention of LCs & Student Projection Ensure that the admission targets for the academic year are met by effectively support the RE team. Effectively lead the admission process at the center whereby ensuring that USPs associated with the VIBGYOR brand is percolated at the parent level. Ensure admission targets are taken care of by effectively training and mentorship of the Relationship Cell team. Desired Qualification B.Ed. /M.Ed. in any specialization. Experience 10 – 15 years Expected Competencies Situational Adaptability Compassion and patience Customer Service Proactive, ethical, and responsible nature Accountability Decision Making Result Driven Communication Interpersonal Skills and effective leadership Collaboration Optimizing work processes Time management Critical Thinking Skills and Knowledge skilled in leadership, relationship-building, organization, communication, and goal setting Show more Show less

Skill required: Digital Inside Sales - Inside Sales Designation: Delivery Lead Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? This position is responsible for leading the drive of product adoption, deliver high levels of business value, and cultivate deep internal and external customer relationships. This role will assist with all aspects of renewals, account management, adoption, customer success planning, and expansion sales. The role drives overall customer satisfaction including reporting and analytics of revenue impact tied to client success, client testimonials, and client references. ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES: Ensure that employees are connecting and aligning their work and goals to the Enterprise Objectives. Drive adoption of Winning Way behaviors. Support and drive attainment of core company metrics. Align with and ensure Customer Success Management team is aligned with goals of Chief Customer Officer and Customer Center of Excellence team. Work with Zone and Line of Business Owners to ensure alignment with operational strategy and goals. Transform and evolve the Customer Success Management Team to align with operational strategy and goals. Collaborate and align with Line of Business Owners, Product Managers and Product Owners on roadmap deliverables and messaging so that the Manager of CSM can train and educate the team on upcoming releases and roadmaps. Personally manage escalations from dire Provide support for lead/opportunity generation: conduct calls / send emails / connect via social media to generate leads, schedule first meetings for sales/pre-sales, conduct customer surveys, identify participants for events, and bring awareness of the product or offering on behalf of sales/marketing teams. What are we looking for? KNOWLEDGE, SKILLS AND ABILITIES: Continually seeks opportunities to increase customer satisfaction and deepen client relationships. Excellent technical aptitude with the ability to analyze and decipher large amounts of customer data. Excellent communication skills, including issue tracking, triaging and crisis management. Ability to efficiently manage multiple customer projects simultaneously. Ability to communicate with internal and external customers and all levels of management. KNOWLEDGE, SKILLS AND ABILITIES: Continually seeks opportunities to increase customer satisfaction and deepen client relationships. Excellent technical aptitude with the ability to analyze and decipher large amounts of customer data. Excellent communication skills, including issue tracking, triaging and crisis management. Ability to efficiently manage multiple customer projects simultaneously. Ability to communicate with internal and external customers and all levels of management. Roles and Responsibilities: Ensure that employees are connecting and aligning their work and goals to the Enterprise Objectives. Drive adoption of Winning Way behaviors. Support and drive attainment of core company metrics. Align with and ensure Customer Success Management team is aligned with goals of Chief Customer Officer and Customer Center of Excellence team. Work with Zone and Line of Business Owners to ensure alignment with operational strategy and goals. Transform and evolve the Customer Success Management Team to align with operational strategy and goals. Collaborate and align with Line of Business Owners, Product Managers and Product Owners on roadmap deliverables and messaging so that the Manager of CSM can train and educate the team on upcoming releases and roadmaps. Personally manage escalations from direct reports and follow a methodical escalation process to leadership Lead the development of the relationship of the CSM team as the trusted advisor relationship with customer stakeholders and executive sponsors to drive product adoption and ensure they are leveraging the solution to achieve full business value. Act as an extension of the customer, being a proactive advocate within Vertex and the customer to accomplish defined objectives. This includes working with the various internal Support teams. Proactively grow the breadth and depth of strategic relationships with customers. Identify opportunities for continuous improvement. Define and oversee lifecycle processes/touch points, including QBR process, "listening" points (e.g. on usage, NPS), and measuring business value, penetration, usage, and adoption. Partner with internal stakeholders (from executive to supervisor) to align account activities with the customer’s business case and strategy. Responsible to help identify data driven revenue expansion within the customer base throughout all customer lifecycles. Work with leadership to identify annual targets Responsible for change management. Closely managing and nurturing accounts to identify and eliminate risk of attrition through regular touch points (conference calls, client visits, webinars, etc.). Establishing trusted relationships with customers, sustaining relationships through the full life cycle of the subscription ensuring their success. Any Graduation Show more Show less

Role : MLOps Engineer Location - Coimbatore Mode of Interview - In Person Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a modern, agile and automated approach to Data Science. Conduct internal training and presentations about MLOps tools’ benefits and usage. Required experience and qualifications: Wide experience with Kubernetes. Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube). Good understanding of ML and AI concepts. Hands-on experience in ML model development. Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit. Experience in CI/CD/CT pipelines implementation. Experience with cloud platforms - preferably AWS - would be an advantage.

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools. Key Responsibilities Technical Leadership: Lead the end-to-end design and implementation of Generative AI solutions. Provide technical guidance and mentorship to engineers and data scientists working on GenAI projects. Stay updated with the latest trends, research, and advancements in Generative AI and Large Language Models (LLMs). Solution Development: Architect, train, and fine-tune state-of-the-art LLMs and generative AI models Develop and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and domain-specific fine-tuning. Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform Ensure scalability, performance, and security of AI solutions deployed in production. Integration and Deployment: API Development: Ability to define and deliver API access for GenAI services, facilitating integration with other systems and applications. Collaborate with software engineering teams to integrate GenAI solutions into enterprise applications and services. Utilize cloud platforms (e.g., Azure, AWS, or GCP) to deploy and manage AI models and APIs. Leverage MLOps practices for continuous model monitoring, retraining, and improvement. Data Strategy and Preparation: Collaborate with data engineering teams to ensure high-quality data acquisition, preprocessing, and augmentation for model training and fine-tuning. Implement data governance and privacy practices in line with organizational policies. Innovation and Research: Experiment with new generative AI techniques, such as multimodal AI, reinforcement learning with human feedback (RLHF), and active learning. Evaluate and recommend AI frameworks, libraries, and platforms for project requirements. Stakeholder Collaboration: Work closely with product managers, business stakeholders, and UX designers to define AI-powered product features and use cases. Present technical concepts, project progress, and AI capabilities to non-technical audiences. Key Requirements Technical Skills: Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI. Hands on experience in any of LLMs such as OpenAI’s ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF) Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms. Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models. Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn. Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker. Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred). 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI. Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science Proven track record of leading AI projects from inception to production. Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF). Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning). Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC And Its Subsidiaries And Its Affiliates (collectively, “Orion,” “we” Or “us”) Are Committed To Protecting Your Privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) Explains What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy. Show more Show less

About Spyne At Spyne, we are transforming how cars are marketed and sold with cutting-edge Generative AI. What started as a bold idea—using AI-powered visuals to help auto dealers sell faster online—has now evolved into a full-fledged, AI-first automotive retail ecosystem. Backed by $16M in Series A funding from Accel, Vertex Ventures, and other top investors, we’re scaling at breakneck speed: Launched industry-first AI-powered Image, Video & 360° solutions for Automotive dealers Launching Gen AI powered Automotive Retail Suite to power Inventory, Marketing, CRM for dealers Onboarded 1500+ dealers across US, EU and other key markets in the past 2 years of launch Gearing up to onboard 10K+ dealers across global market of 200K+ dealers 150+ members team with near equal split on R&D and GTM Learn more about our products: Spyne AI Products - StudioAI , RetailAI Series A Announcement - CNBC-TV18 , Yourstory Role Overview We’re hiring a Head of Marketing to lead Spyne’s global marketing engine across product, performance, brand, and community. This is a senior leadership role owning everything from pipeline creation to category definition . You’ll lead a high-performance team, partner closely with Sales, Product, and CS, and build the strategy and execution muscle to scale Spyne from $5M to $20M+ ARR. 📍 Location : Gurugram (Work from Office, 5 days a week) 🖥 Role : Full-time. Head of Marketing Key Responsibilities 1. Product Marketing Own positioning, messaging, and value propositions across product lines Lead product launches and GTM in partnership with Product and Sales Create persona-driven collateral: decks, one-pagers, use cases, and battlecards Conduct competitor benchmarking and win/loss analysis Drive in-product comms and feature adoption strategies 2. Demand Generation Own global pipeline generation through paid, SEO, content, ABM, and email Build full-funnel campaigns optimized for MQL, SQL, and ARR targets Set up attribution, analytics, and campaign automation using HubSpot (or equivalent) Partner with Sales to improve MQL→SQL conversion and feedback loops Hire and lead performance marketers, campaign managers, and content specialists 3. Brand, PR & Communications Define and evolve Spyne’s brand in U.S., EU, and India markets Lead PR for launches, funding, partnerships, and founder features Build and manage media relationships, PR agencies, and analyst networks Drive thought leadership via content, panels, podcasts, and opinion articles 4. Community Building (India Focus) Grow an active dealer community through meetups, webinars, forums Launch dealer WhatsApp groups, newsletters, and ambassador programs Build India's first auto retail exhibition modeled after NADA/NIADA Turn top dealers into advocates, speakers, and brand champions 5. Content & Social Media Manage content calendar aligned with GTM, product, and brand goals Own presence across LinkedIn, YouTube, Twitter/X, Instagram Produce high-quality short-form content: videos, reels, case studies Track engagement, experiment with formats, and optimize for reach 6. Marketing Strategy & Leadership Define marketing OKRs and drive alignment across GTM teams Build and scale a world-class marketing org across India and the U.S. Hire top talent across product marketing, growth, content, and events Own marketing budget and drive ROI across all functions 7. Category Creation & Education Position Spyne as the category leader in AI-powered Auto Retail Launch market education campaigns: reports, guides, state-of-industry content Build ecosystem partnerships with dealer networks and auto platforms Drive engagement with influencers, analysts, and industry associations 8. Customer Marketing Turn customers into evangelists via case studies, testimonials, events Build a reference engine to accelerate sales cycles Launch referral and upsell campaigns to boost retention and ACV Collaborate with CS to convert promoters into active brand assets Ideal Candidate You’re a great fit if you’ve… Built and scaled full-funnel marketing engines—owning brand, product marketing, and demand generation Launched GTM for new products or markets, especially in the U.S. or other developed geographies Owned a pipeline target and delivered measurable revenue impact from marketing-led efforts Run integrated campaigns across paid, content, SEO, events, and email—and tracked attribution to the dollar Written positioning and messaging from scratch, and equipped Sales with pitch decks, one-pagers, and battlecards Built organic momentum—through campaigns, content, community, or thought leadership Created buzz and press by crafting angles journalists care about, and getting top-tier coverage without relying solely on agencies Rolled up your sleeves to get from zero to 100 engaged users in a vertical, using storytelling, hustle, and listening Built or nurtured customer communities or advocacy programs—whether it was called that or not Managed teams and agencies, but are just as comfortable writing a tweet, editing a blog, or drafting a press pitch yourself You’re Likely not a fit If You… Need a large team or agency to execute the basics View marketing as “support” rather than a revenue-driving function Believe brand = aesthetics and demand gen = paid ads Aren’t hands-on with tools like HubSpot, GA4, LinkedIn Ads, Canva, etc. Struggle to switch gears between execution, strategy, and cross-functional leadership Preferred background: 8–12 years of marketing experience, ideally in B2B SaaS or Auto/Mobility Tech Tier 1 MBA with post MBA experience in Marketing & Branding preferred, but not necessary—execution and outcomes matter more Proven track record of owning ARR-influencing metrics, not just vanity metrics Experience across Product Marketing, Demand Gen, and Brand/Comms Prior exposure to the U.S./EU markets, either through campaign execution or GTM ownership Strong portfolio of launches, campaigns, content, and outcomes Experience building or scaling a marketing org from early to growth stage Bonus: Experience in automotive, marketplace, or dealership ecosystem Why Spyne? Culture: High-ownership, zero-politics, execution-first Growth: $5M to $20M ARR trajectory Learning: Work with top GTM leaders and startup veterans Exposure: Global exposure across U.S., EU, and India markets Compensation: Competitive base + performance incentives + stock options Show more Show less

We’re hiring a Senior ML Engineer (MLOps) — 3-5 yrs Location: Chennai What you’ll do Tame data → pull, clean, and shape structured & unstructured data. Orchestrate pipelines → Airflow / Step Functions / ADF… your call. Ship models → build, tune, and push to prod on SageMaker, Azure ML, or Vertex AI. Scale → Spark / Databricks for the heavy lifting. Automate everything → Docker, Kubernetes, CI/CD, MLFlow, Seldon, Kubeflow. Pair up → work with engineers, architects, and business folks to solve real problems, fast. What you bring 3+ yrs hands-on MLOps (4-5 yrs total software experience). Proven chops on one hyperscaler (AWS, Azure, or GCP). Confidence with Databricks / Spark , Python, SQL, TensorFlow / PyTorch / Scikit-learn. You debug Kubernetes in your sleep and treat Dockerfiles like breathing. You prototype with open-source first, choose the right tool, then make it scale. Sharp mind, low ego, bias for action. Nice-to-haves Sagemaker, Azure ML, or Vertex AI in production. Love for clean code, clear docs, and crisp PRs. Why Datadivr? Domain focus: we live and breathe F&B — your work ships to plants, not just slides. Small team, big autonomy: no endless layers; you own what you build. 📬 How to apply Shoot your CV + a short note on a project you shipped to careers@datadivr.com or DM me here. We reply to every serious applicant. Know someone perfect? Please share — good people know good people. Show more Show less

Client- UK Based client Availability: 8 hours per day Shift: 2 PM IST to 11 PM IST Exp -10+ Yrs Mode: WFH ( Freelancing) If you're interested, kindly share your CV-thara.dhanaraj@excelenciaconsulting.com/ Call7358452333 Key Responsibilities: Design, build, and maintain ML infrastructure on GCP using tools such as Vertex AI, GKE, Dataflow, BigQuery, and Cloud Functions. Develop and automate ML pipelines for model training, validation, deployment, and monitoring using tools like Kubeflow Pipelines, TFX, or Vertex AI Pipelines. Work with Data Scientists to productionize ML models and support experimentation workflows. Implement model monitoring and alerting for drift, performance degradation, and data quality issues. Manage and scale containerized ML workloads using Kubernetes (GKE) and Docker. Set up CI/CD workflows for ML using tools like Cloud Build, Bitbucket, Jenkins, or similar. Ensure proper security, versioning, and compliance across the ML lifecycle. Maintain documentation, artifacts, and reusable templates for reproducibility and auditability. Having GCP MLE Certification is Plus Show more Show less

GURUGRAM, 122001, IN Job details Work flexibility: Hybrid Req ID: R527295 Employee type: Full Time Job category: Information Systems Travel: 20% Relocation: No Related content Looking for a place that values your unique talents? Discover Stryker's award-winning culture. We are proud to offer you our total rewards package which includes bonuses, healthcare, insurance benefits, retirement programs, wellness programs, as well as service and performance awards – not to mention various social and recreational activities, all of which are location specific. Job description What you will do: Drive solutions focused on SAP RAR process and related integrations. Drive solutions focused on Asset accounting and related integration with other SAP modules and Intercompany Accounting Drives solutions focused on Intercompany Accounting Responsible for the delivery of capabilities across the SAP S/4 Finance application platform including other Finance integrating systems and end to end solutions with PayMetric, Vertex, SWIFT, Spend Management applications. Identify opportunities to improve the systems process flow, performance and technical efficiencies. Be able to support the business and recommend/provide holistic solutions that integrate the existing global standards with the business needs and processes What you need: Required Qualifications: Master’s degree in finance - MBA or professional qualification CA, ACCA or related preferred Extensive knowledge in General ledger accounting / AP/ AR/ Fixed Assets In-depth knowledge of integration of FI with SD and MM Understanding of integration with other applications through interfaces, EDI etc At least 1 implementation in SAP & basic Knowledge of Controlling modules Preferred Qualifications: Exposure to Intercompany Accounting & bank Accounting Knowledge in RAR, FSCM & cash application Exposure to Europe VAT and localization requirements & at lleast 1 implementation in S4 Hana Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology and Orthopaedics that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.

Job Description Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Google cloud build, cloud run, Vertex AI, Airflow, TensorFlow, etc., Experience in Train, Build and Deploy ML, DL Models Experience in HuggingFace, Chainlit, React Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end. Ability to adapt quickly with opensource products & tools to integrate with ML Platforms Building and deploying Models (Scikit learn, DataRobots, TensorFlow PyTorch, etc.) Developing and deploying On-Prem & Cloud environments Kubernetes, Tekton, OpenShift, Terraform, Vertex AI Experience in LLM models like PaLM, GPT4, Mistral (open-source models), Work through the complete lifecycle of Gen AI model development, from training and testing to deployment and performance monitoring. Developing and maintaining AI pipelines with multimodalities like text, image, audio etc. Have implemented in real-world Chat bots or conversational agents at scale handling different data sources. Experience in developing Image generation/translation tools using any of the latent diffusion models like stable diffusion, Instruct pix2pix. Expertise in handling large scale structured and unstructured data. Efficiently handled large-scale generative AI datasets and outputs. Familiarity in the use of Docker tools, pipenv/conda/poetry env Comfort level in following Python project management best practices (use of cxzsetup.py, logging, pytests, relative module imports,sphinx docs,etc.,) Familiarity in use of Github (clone, fetch, pull/push,raising issues and PR, etc.,) High familiarity in the use of DL theory/practices in NLP applications Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,) Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI, Good working knowledge on other open source packages to benchmark and derive summary Experience in using GPU/CPU of cloud and on-prem infrastructures Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs. Use of Dockers (experience in experimental docker features, docker-compose, etc.,) Familiarity with orchestration tools such as airflow, Kubeflow Experience in CI/CD, infrastructure as code tools like terraform etc. Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc., Ability to develop APIs with compliance, ethical, secure and safe AI tools. Good UI skills to visualize and build better applications using Gradio, Dash, Streamlit, React, Django, etc., Deeper understanding of javascript, css, angular, html, etc., is a plus. Responsibilities Design NLP/LLM/GenAI applications/products by following robust coding practices, Explore SoTA models/techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions, Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,) Converge multibots into super apps using LLMs with multimodalities Develop agentic workflow using Autogen, Agentbuilder, langgraph Build modular AI/ML products that could be consumed at scale. Qualifications Education : Bachelor’s or Master’s Degree in Computer Science, Engineering, Maths or Science Performed any modern NLP/LLM courses/open competitions is also welcomed. Show more Show less

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day. We have 3.44 PB of RAM deployed across our fleet of C* servers - and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About The Role The charter of the Data + ML Platform team is to harness all the data that is ingested and cataloged within the Data LakeHouse for exploration, insights, model development, ML Engineering and Insights Activation. This team is situated within the larger Data Platform group, which serves as one of the core pillars of our company. We process data at a truly immense scale. Our processing is composed of various facets including threat events collected via telemetry data, associated metadata, along with IT asset information, contextual information about threat exposure based on additional processing, etc. These facets comprise the overall data platform, which is currently over 200 PB and maintained in a hyper scale Data Lakehouse, built and owned by the Data Platform team. The ingestion mechanisms include both batch and near real-time streams that form the core Threat Analytics Platform used for insights, threat hunting, incident investigations and more. As an engineer in this team, you will play an integral role as we build out our ML Experimentation Platform from the ground up. You will collaborate closely with Data Platform Software Engineers, Data Scientists & Threat Analysts to design, implement, and maintain scalable ML pipelines that will be used for Data Preparation, Cataloging, Feature Engineering, Model Training, and Model Serving that influence critical business decisions. You’ll be a key contributor in a production-focused culture that bridges the gap between model development and operational success. Future plans include generative AI investments for use cases such as modeling attack paths for IT assets. What You’ll Do Help design, build, and facilitate adoption of a modern Data+ML platform Modularize complex ML code into standardized and repeatable components Establish and facilitate adoption of repeatable patterns for model development, deployment, and monitoring Build a platform that scales to thousands of users and offers self-service capability to build ML experimentation pipelines Leverage workflow orchestration tools to deploy efficient and scalable execution of complex data and ML pipelines Review code changes from data scientists and champion software development best practices Leverage cloud services like Kubernetes, blob storage, and queues in our cloud first environment What You’ll Need B.S. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field and 7 + years related experience; or M.S. with 5+ years of experience; or Ph.D with 6+ years of experience. 3+ years experience developing and deploying machine learning solutions to production. Familiarity with typical machine learning algorithms from an engineering perspective (how they are built and used, not necessarily the theory); familiarity with supervised / unsupervised approaches: how, why, and when and labeled data is created and used 3+ years experience with ML Platform tools like Jupyter Notebooks, NVidia Workbench, MLFlow, Ray, Vertex AI etc. Experience building data platform product(s) or features with (one of) Apache Spark, Flink or comparable tools in GCP. Experience with Iceberg is highly desirable. Proficiency in distributed computing and orchestration technologies (Kubernetes, Airflow, etc.) Production experience with infrastructure-as-code tools such as Terraform, FluxCD Expert level experience with Python; Java/Scala exposure is recommended. Ability to write Python interfaces to provide standardized and simplified interfaces for data scientists to utilize internal Crowdstrike tools Expert level experience with CI/CD frameworks such as GitHub Actions Expert level experience with containerization frameworks Strong analytical and problem solving skills, capable of working in a dynamic environment Exceptional interpersonal and communication skills. Work with stakeholders across multiple teams and synthesize their needs into software interfaces and processes. Experience With The Following Is Desirable Go Iceberg Pinot or other time-series/OLAP-style database Jenkins Parquet Protocol Buffers/GRPC VJ1 Benefits Of Working At CrowdStrike Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Resource Groups, geographic neighbourhood groups and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. Show more Show less

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day. We have 3.44 PB of RAM deployed across our fleet of C* servers - and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About The Role The charter of the Data + ML Platform team is to harness all the data that is ingested and cataloged within the Data LakeHouse for exploration, insights, model development, ML Engineering and Insights Activation. This team is situated within the larger Data Platform group, which serves as one of the core pillars of our company. We process data at a truly immense scale. Our processing is composed of various facets including threat events collected via telemetry data, associated metadata, along with IT asset information, contextual information about threat exposure based on additional processing, etc. These facets comprise the overall data platform, which is currently over 200 PB and maintained in a hyper scale Data Lakehouse, built and owned by the Data Platform team. The ingestion mechanisms include both batch and near real-time streams that form the core Threat Analytics Platform used for insights, threat hunting, incident investigations and more. As an engineer in this team, you will play an integral role as we build out our ML Experimentation Platform from the ground up. You will collaborate closely with Data Platform Software Engineers, Data Scientists & Threat Analysts to design, implement, and maintain scalable ML pipelines that will be used for Data Preparation, Cataloging, Feature Engineering, Model Training, and Model Serving that influence critical business decisions. You’ll be a key contributor in a production-focused culture that bridges the gap between model development and operational success. Future plans include generative AI investments for use cases such as modeling attack paths for IT assets. What You’ll Do Help design, build, and facilitate adoption of a modern Data+ML platform Modularize complex ML code into standardized and repeatable components Establish and facilitate adoption of repeatable patterns for model development, deployment, and monitoring Build a platform that scales to thousands of users and offers self-service capability to build ML experimentation pipelines Leverage workflow orchestration tools to deploy efficient and scalable execution of complex data and ML pipelines Review code changes from data scientists and champion software development best practices Leverage cloud services like Kubernetes, blob storage, and queues in our cloud first environment What You’ll Need B.S. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field and 7 + years related experience; or M.S. with 5+ years of experience; or Ph.D with 6+ years of experience. 3+ years experience developing and deploying machine learning solutions to production. Familiarity with typical machine learning algorithms from an engineering perspective (how they are built and used, not necessarily the theory); familiarity with supervised / unsupervised approaches: how, why, and when and labeled data is created and used 3+ years experience with ML Platform tools like Jupyter Notebooks, NVidia Workbench, MLFlow, Ray, Vertex AI etc. Experience building data platform product(s) or features with (one of) Apache Spark, Flink or comparable tools in GCP. Experience with Iceberg is highly desirable. Proficiency in distributed computing and orchestration technologies (Kubernetes, Airflow, etc.) Production experience with infrastructure-as-code tools such as Terraform, FluxCD Expert level experience with Python; Java/Scala exposure is recommended. Ability to write Python interfaces to provide standardized and simplified interfaces for data scientists to utilize internal Crowdstrike tools Expert level experience with CI/CD frameworks such as GitHub Actions Expert level experience with containerization frameworks Strong analytical and problem solving skills, capable of working in a dynamic environment Exceptional interpersonal and communication skills. Work with stakeholders across multiple teams and synthesize their needs into software interfaces and processes. Experience With The Following Is Desirable Go Iceberg Pinot or other time-series/OLAP-style database Jenkins Parquet Protocol Buffers/GRPC VJ1 Benefits Of Working At CrowdStrike Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Resource Groups, geographic neighbourhood groups and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. Show more Show less

Job Title: Data Architecture Location: Chennai Experience: 8-15 Years Key Responsibilites Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Big Query, Google Cloud Storage, Cloud SQL, Memory Store, Dataflow, Dataproc, Artifact Registry, Cloud Build, Cloud Run, Vertex AI, Pub/Sub, GCP APIs. Build ETL pipelines to ingest the data from heterogeneous sources into our system Develop data processing pipelines using programming languages like Java and Python to extract, transform, and load (ETL) data Create and maintain data models, ensuring efficient storage, retrieval, and analysis of large datasets Deploy and manage databases, both SQL and NoSQL, such as Bigtable, Firestore, or Cloud SQL, based on project requirements Optimize data workflows for performance, reliability, and cost-effectiveness on the GCP infrastructure. Implement version control and CI/CD practices for data engineering workflows to ensure reliable and efficient deployments. Utilize GCP monitoring and logging tools to proactively identify and address performance bottlenecks and system failures Troubleshoot and resolve issues related to data processing, storage, and retrieval. Promptly address code quality issues using SonarQube, Checkmarx, Fossa, and Cycode throughout the development lifecycle Implement security measures and data governance policies to ensure the integrity and confidentiality of data Collaborate with stakeholders to gather and define data requirements, ensuring alignment with business objectives. Develop and maintain documentation for data engineering processes, ensuring knowledge transfer and ease of system maintenance. Participate in on-call rotations to address critical issues and ensure the reliability of data engineering systems. Provide mentorship and guidance to junior team members, fostering a collaborative and knowledge-sharing environment Show more Show less

Provide functional leadership and daily support for Oracle Financials modules tailored to manufacturing processes and operations. Manage and execute month-end, quarter-end, and year-end financial close activities, including reconciliations, accruals, and reporting. Ensure accurate and timely financial postings and support finance teams with period-close issues and improvements. Handle application managed services (AMS) support, including incident management, service requests, and change management. Maintain and govern master data for finance and supply chain, ensuring consistency and integrity across modules. Support integration efforts between Oracle Financials and other internal or third-party systems. Implement and support Onsource Tax configurations, compliance rules, and reporting requirements. Develop and maintain financial reporting solutions using Oracle BI tools (BI Publisher, OTBI, FRS, etc.). Recommend and drive system enhancements, innovations, and best practices aligned with business goals. Collaborate with cross-functional teams to analyze requirements, design solutions, and execute testing (SIT/UAT). 7+ years of hands-on experience with Oracle E-Business Suite (R12) or Oracle Cloud Financials. Strong domain expertise in manufacturing finance, including costing, inventory accounting, and supply chain finance processes. Proven experience in financial close cycles, including hands-on support and resolution of close-related issues. Deep functional knowledge of AP, AR, GL, FA, Multi-Currency, Subledger Accounting. Experience with BI reporting and Oracle tools like OTBI, BI Publisher, or FRS. Expertise in Onsource Tax and familiarity with other tax engines (e.g., Vertex, Avalara). Experience in AMS/support environments, with strong customer service and communication skills. Ability to analyze complex issues and deliver innovative solutions to improve operational efficiency. Mandatory Skills Oracle E-Business Suite (R12) Oracle Cloud Financials Deep functional knowledge of AP, AR, GL, FA, Multi-Currency, Subledger Accounting. BI reporting and Oracle tools like OTBI, BI Publisher, or FRS Show more Show less

The candidate should have experience in AI Development including experience in developing, deploying, and optimizing AI and Generative AI solutions. The ideal candidate will have a strong technical background, hands-on experience with modern AI tools and platforms, and a proven ability to build innovative applications that leverage advanced AI techniques. You will work collaboratively with cross-functional teams to deliver AI-driven products and services that meet business needs and delight end-users. Job Duties and Responsibilities: Define and maintain project plans, schedule, requirements, document for product deliverables. Define project scope, deliverables, roles, and responsibilities in collaboration with Product Owner and stakeholders as per defined organization framework (XPMC) Follow agile methodology and maintain team dashboard (KANBAN) – Assign work to project team, track, and monitor team deliverables. Provide recommendations based on best practices and industry standards. Work closely with the team to ensure adherence to schedule timelines. Key Prerequisites Experience in AI and Generative AI Development Experience in Design, develop, and deploy AI models for various use cases, such as predictive analytics, recommendation systems, and natural language processing (NLP). Experience in Building and fine-tuning Generative AI models for applications like chatbots, text summarization, content generation, and image synthesis. Experience in implementation and optimization of large language models (LLMs) and transformer-based architectures (e.g., GPT, BERT). Experience in ingestion and cleaning of data Feature Engineering and Data Engineering Experience in Design and implementation of data pipelines for ingesting, processing, and storing large datasets. Experience in Model Training and Optimization Exposure to deep learning models and fine-tuning pre-trained models using frameworks like TensorFlow, PyTorch, or Hugging Face. Exposure to optimization of models for performance, scalability, and cost-efficiency on cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI). Hands-on experience in monitoring and improving model performance through retraining and evaluation metrics like accuracy, precision, and recall. AI Tools and Platform Expertise OpenAI, Hugging Face MLOps tools Generative AI-specific tools and libraries for innovative applications. Technical Skills Strong programming skills in Python (preferred) or other languages like Java, R, or Julia. Expertise in AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face. Proficiency in working with transformer-based models (e.g., GPT, BERT, T5, DALL-E). Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization tools (Docker, Kubernetes). Solid understanding of databases (SQL, NoSQL) and big data processing tools (Spark, Hadoop). Show more Show less

Role Description Job Summary: We are seeking a highly skilled Senior Python Developer with expertise in Machine Learning (ML) , Large Language Models (LLMs) , and cloud technologies . The ideal candidate will be responsible for end-to-end execution — from requirement analysis and discovery to the design, development, and implementation of ML-driven solutions. The role demands both technical excellence and strong communication skills to work directly with clients, delivering POCs, MVPs, and scalable production systems. Key Responsibilities Collaborate with clients to understand business needs and identify ML-driven opportunities. Independently design and develop robust ML models, time series models, deep learning solutions, and LLM-based systems. Deliver Proof of Concepts (POCs) and Minimum Viable Products (MVPs) with agility and innovation. Architect and optimize Python-based ML applications focusing on performance and scalability. Utilize GitHub for version control, collaboration, and CI/CD automation. Deploy ML models on cloud platforms such as AWS, Azure, or GCP. Follow best practices in software development including clean code, automated testing, and thorough documentation. Stay updated with evolving trends in ML, LLMs, and cloud ecosystem. Work collaboratively with Data Scientists, DevOps engineers, and Business Analysts. Must-Have Skills Strong programming experience in Python and frameworks such as FastAPI, Flask, or Django. Solid hands-on expertise in ML using Scikit-learn, TensorFlow, PyTorch, Prophet, etc. Experience with LLMs (e.g., OpenAI, LangChain, Hugging Face, vector search). Proficiency in cloud services like AWS (S3, Lambda, SageMaker), Azure ML, or GCP Vertex AI. Strong grasp of software engineering concepts: OOP, design patterns, data structures. Experience in version control systems (Git/GitHub/GitLab) and setting up CI/CD pipelines. Ability to work independently and solve complex problems with minimal supervision. Excellent communication and client interaction skills. Skills Python,Machine Learning,Machine Learning Models Show more Show less

About General Mills We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we’ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell. How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team, who upholds a vision of relentless innovation while being a force for good. For more details, check out http://www.generalmills.com General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization, delivering business value, service excellence, and growth, while standing for good for our planet and people. With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC), Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS), Finance Shared Services (FSS) and Human Resources Shared Services (HRSS). For more details, check out https://www.generalmills.co.in We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow. Job Overview Function Overview The Digital and Technology team at General Mills stands as the largest and foremost unit, dedicated to exploring the latest trends and innovations in technology while leading the adoption of cutting-edge technologies across the organization. Collaborating closely with global business teams, the focus is on understanding business models and identifying opportunities to leverage technology for increased efficiency and disruption. The team's expertise spans a wide range of areas, including AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain, SAP S4 HANA, and Enterprise Architecture. The MillsWorks initiative embodies an agile@scale delivery model, where business and technology teams operate cohesively in pods with a unified mission to deliver value for the company. Employees working on significant technology projects are recognized as Digital Transformation change agents. The team places a strong emphasis on service partnerships and employee engagement with a commitment to advancing equity and supporting communities. In fostering an inclusive culture, the team values individuals passionate about learning and growing with technology, exemplified by the "Work with Heart" philosophy, emphasizing results over facetime. Those intrigued by the prospect of contributing to the digital transformation journey of a Fortune 500 company are encouraged to explore more details about the function through the provided Link. Purpose of the role General Mills, Digital and Technology India, is seeking a Lead Data Scientist to join our dynamic and innovative Data Science team. As a Lead Data Scientist, you will play a crucial role in shaping our AI and machine learning strategies, managing model development projects, AI technical explorations, and mentoring our talented team of data scientists. The ideal candidate will have expertise in AI platforms, ML modelling techniques, development life cycle, GCP Vertex AI, and a proven track record of successful AI solution delivery. Key Accountabilities AI and ML strategy: Develop and implement AI and ML strategies aligned with business objectives. Stay abreast of industry trends and emerging technologies to ensure our strategies remain cutting-edge. Constructively challenge the other data scientists on the approach Utilize and provide expertise in leading AI platforms, frameworks, and libraries. Evaluate and recommend new tools and technologies to enhance our machine learning capabilities. Lead The AI Solutions Delivery Partners with business stakeholders to deliver value-added insights and intelligent solutions through ML and AI. Collaborates with ML engineers and systems engineers to ensure the models are deployed in a scaled and optimized way. Additionally, ensure support for the post-production to ensure model performance degradation is proactively managed. Is considered an expert in at least one of the functional areas; brings together business knowledge, resources, people, and technology to create more effective solutions Model Development And Explorations Lead and contribute to the development of machine learning models from ideation to production deployment. Hands-on experience with Google Cloud Platform's Vertex AI for building, deploying, and managing machine learning models. Oversee the entire development life cycle of AI solutions, including MLOps practices, ensuring high-quality and scalable deliverables. Collaborate with cross-functional teams to integrate machine learning solutions into existing products or processes. Lead explorations for AI techniques, platforms, and tools. Team Management Mentor and development of a team of 4-5 data scientists Team Collaboration and Communication. Own development of the resources and career progression Guide Project Prioritization and Resource Allocation Collaborate with global partners to evolve ways of working AI Literacy And Mentorship To The Broader Organization Mentor and guide a team of data scientists in the approach for AI solution delivery Foster a collaborative and innovative team environment Contribute to the overall effort to educate stakeholders on AI practices Closely collaborates with the stakeholders on projects and data science leaders to ensure practices are developed and enhanced to support accelerated analytic development and maintainability Minimum Qualifications Bachelors Degree in Computer Science, Statistics/ Applied Mathematics from Tier 1 Istitute Tier 1 Education and 5+ years of experience OR 12 years of industry experience with 8+ years in providing data science solutions Proven skills in leading implementations of AI solutions Experience in managing team Experienced in providing technical mentorship Technical Concepts- MLOps, Containerization, Data Lineage and Visualization Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups Excellent stakeholder management skills and storytelling skills Expert level of experience around AI solutions architecture, Supervised ML algorithms, optimization, performance tuning, Google Cloud Platform, Python and SQL Intermediate level of experience with MLOps, GCP Cloud Architecture/ any other cloud, AtScale & Alation, Deep Learning, Container, GKE Preferred Qualifications Publications or contributions to the data science and AI community Certifications in AI, Machine Learning or related fields Company Overview We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next. Show more Show less

Backend ● Bachelors/Masters in Computer science from a reputed institute/university ● 3-7 years of strong experience in building Java/golang/python based server side solutions ● Strong in data structure, algorithm and software design ● Experience in designing and building RESTful micro services ● Experience with Server side frameworks such as JPA (HIbernate/SpringData), Spring, vertex, Springboot, Redis, Kafka, Lucene/Solr/ElasticSearch etc. ● Experience in data modeling and design, database query tuning ● Experience in MySQL and strong understanding of relational databases. ● Comfortable with agile, iterative development practices ● Excellent communication (verbal & written), interpersonal and leadership skills ● Previous experience as part of a Start-up or a Product company. ● Experience with AWS technologies would be a plus ● Experience with reactive programming frameworks would be a plus · Contributions to opensource are a plus ● Familiarity with deployment architecture principles and prior experience with container orchestration platforms, particularly Kubernetes, would be a significant advantage Show more Show less

About The Role As Uber continues to grow, our tax team must also expand to meet new business challenges. We are looking to add an experienced and highly skilled US Sales and Use Tax Senior Analyst within the Tax and Reporting CoE (Center of Excellence) based in Bangalore India. This role is responsible for managing complex sales and use tax compliance processes, leveraging technology platforms such as Oracle, Vertex, Blackline and Anybill to ensure accurate filings, data integrity, and payment workflows. The Analyst will bring deep multi-jurisdictional tax knowledge, audit support expertise, and a proactive approach to process improvement and automation. The Indirect tax reporting team will be responsible for the monthly / quarterly / Annual Tax compliance for US&C regions. This team will be responsible to extract and interpret the tax data from our systems to enable informed business decisions, perform return filing and reconciling with the books of accounts on the Tax positions. Our focus is on improving our tax processes by using technology more and more. This focus increases our responsibility for monitoring the completeness and accuracy in our indirect tax systems, striving for full tax automation, and driving the vision for improved and efficient tax compliance of not only Uber but also of our partners (Driver, Couriers, Restaurants, Carriers and Shippers). This is very exciting especially with the upcoming changes in taxation of digital services. Our team consists of a diverse group of individuals with backgrounds across consulting, tax, accounting, and analytics. We often have to employ unique approaches to solve mission critical challenges. You will have strong project management skills as you'll drive cross-border projects (APAC, LATAM, EMEA, US&C) and develop best practice in processes on an international level. You'll be a strong team player who is able to work with people across the organization. If you are technically sharp, have a thirst to learn more, follow your gut, question the status quo and ensure work is correct, then you will fit right in. The role will report to the Global Indirect Tax Reporting Manager and work closely with other members of the reporting and tax team to manage requests and support the Reporting and compliance function. The responsibility extends to working closely with the third-party global reporting and compliance partner(s) for the assigned entities to drive efficiency for this function. What You'll Do Lead preparation, review, and filing of complex multi-jurisdictional sales and use tax, property tax, business & occupation, and gross receipts tax returns Review and validate transactional data and tax calculations from ERP systems to ensure compliance with applicable local and state indirect tax regulations. Prepare and review month-end reconciliations and journal entries, maintaining comprehensive audit documentation. Oversee business license registrations, renewals, and management within licensing software. Manage and oversee responses to communications from tax authorities, ensuring timely and thorough follow-ups and resolutions. Drive strategic projects aimed at strengthening compliance, mitigating risks, and enhancing operational efficiency. Develop, implement, and maintain robust internal controls related to sales and use tax processes. Continuously monitor and remain informed about updates and changes in U.S. sales and use tax laws, regulations, and reporting requirements. Provide subject matter expertise during indirect tax audits, inquiries, and notices. Work closely with IT, Data science, data Ops and finance on ERP and tax automation projects to improve data extraction, tax calculations, and reporting accuracy. Identify and lead process improvement initiatives to boost efficiency through automation (e.g., Alteryx, Tableau, SQL, Python). Mentor junior tax analysts, providing training and guidance. What You'll Need Bachelor's degree in Accounting, Finance, Taxation, or related field (CA / ACCA / CPA / CIMA / MBA / EA preferred). 7+ years of experience in Indirect Tax, preferably with Big 4 or fast-paced corporate environments. Strong knowledge of U.S. and multi-state indirect tax regulations. Proficiency with Vertex, advanced Excel, and ERP systems (e.g., Oracle). Preferred Qualifications Strong expertise in U.S. Sales and Use Tax regulations. Extensive experience addressing and resolving notices and inquiries from U.S. tax authorities. Proficiency with Vertex and Anybill platforms, with hands-on experience in ERP integration (SAP, Oracle, NetSuite preferred). Advanced proficiency in Microsoft Excel and logic-based analytical tools (e.g., Tableau, Alteryx). Strong analytical skills, meticulous attention to detail, and expertise in tax reporting tools. Experience managing complex revenue systems involving multiple data sources, global products, discounts, and adjustments. Demonstrated capability to analyze large data volumes accurately and efficiently. Excellent written and verbal communication skills in English. Proactive and self-driven with a highly critical mindset, positive attitude, and solution-oriented approach. Comfortable collaborating with various subject matter experts to resolve issues. Ability to thrive in a dynamic, fast-paced, deadline-driven environment with minimal supervision. Show more Show less

Hi all, We are hiring for the role Vertex Tax Experience: 8+ Years Location: Bangalore Notice Period: Immediate - 15 Days Skills: Vertex Tax Vertex Tool Vertex configuration If you are interested drop your resume at mojesh.p@acesoftlabs.com Call: 9701971793

Description and Requirements "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The DSOM product line includes BMC’s industry-leading Digital Services and Operation Management products. We have many interesting SaaS products, in the fields of: Predictive IT service management, Automatic discovery of inventories, intelligent operations management, and more! We continuously grow by adding and implementing the most cutting-edge technologies and investing in Innovation! Our team is a global and versatile group of professionals, and we LOVE to hear our employees’ innovative ideas. So, if Innovation is close to your heart – this is the place for you! BMC is looking for an experienced Data Science Engineer with hands-on experience with Classical ML, Deep Learning Networks and Large Language Models, knowledge to join us and design, develop, and implement microservice based edge applications , using the latest technologies. In this role, you will be responsible for End-to-end design and execution of BMC Data Science tasks, while acting as a focal point and expert for our data science activities. You will research and interpret business needs, develop predictive models, and deploy completed solutions. You will provide expertise and recommendations for plans, programs, advance analysis, strategies, and policies. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Ideate, design, implement and maintain enterprise business software platform for edge and cloud, with a focus on Machine Learning and Generative AI Capabilities , using mainly P ython Work with a globally distributed development team to perform requirements analysis, write design documents, design, develop and test software development projects. Understand real world deployment and usage scenarios from customers and product managers and translate them to AI/ML features that drive value of the product. Work closely with product managers and architects to understand requirements, present options, and design solutions. Work closely with customers and partners to analyze time-series data and suggest the right approaches to drive adoption. Analyze and clearly communicate both verbally and in written form the status of projects or issues along with risks and options to the stakeholders. To ensure you’re set up for success, you will bring the following skillset & experience: You have 8 + years of hands-on experience in data science or machine learning roles. You have experience working with sensor data, time-series analysis, predictive maintenance, anomaly detection, or similar IoT-specific domains. You have strong understanding of the entire ML lifecycle: data collection, preprocessing, model training, deployment, monitoring, and continuous improvement. You have proven experience designing and deploying AI/ML models in real-world IoT or edge computing environments. You have strong knowledge of machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch , XGBoost ). Whilst these are nice to have, our team can help you develop in the following skills: Experience with digital twins, real-time analytics, or streaming data systems. Contribution to open-source ML/AI/IoT projects or relevant publications. Experience with Agile development methodology and best practice in unit testin Experience with Kubernetes (kubectl, helm) will be an advantage. Experience with cloud platforms (AWS, Azure, GCP) and tools for ML deployment (SageMaker, Vertex AI, MLflow, etc.). Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page. < Back to search results BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 8,047,800 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply. Show more Show less

About Spyne At Spyne, we are transforming how cars are marketed and sold with cutting-edge Generative AI. What started as a bold idea—using AI-powered visuals to help auto dealers sell faster online—has now evolved into a full-fledged, AI-first automotive retail ecosystem. Backed by $16M in Series A funding from Accel, Vertex Ventures, and other top investors, we’re scaling at breakneck speed: Launched industry-first AI-powered Image, Video & 360° solutions for Automotive dealers Launching Gen AI powered Automotive Retail Suite to power Inventory, Marketing, CRM for dealers Onboarded 1500+ dealers across US, EU and other key markets in the past 2 years of launch Gearing up to onboard 10K+ dealers across global market of 200K+ dealers 150+ members team with near equal split on R&D and GTM Learn more about our products: Spyne AI Products - StudioAI , RetailAI Series A Announcement - CNBC-TV18 , Yourstory What are we looking for? We’re looking for a dynamic Product Manager to lead the development of applications powered by Large Language Models (LLMs) and AI agents ! This role is at the heart of our strategy to create cutting-edge conversational agents, automation systems, and AI-driven solutions for automotive dealers and buyers. What will you do? Product Strategy & Vision – Define and execute the roadmap for LLM-powered applications and AI agents, aligning with market trends and user needs. AI Innovation – Drive cutting-edge applications like chatbots, decision-support systems, and task automation. Research & Experimentation – Collaborate with engineers and data scientists to fine-tune and deploy LLMs for real-world use cases. AI Agent Development – Build context-aware AI agents that integrate seamlessly into user workflows. Automation Solutions – Develop AI-driven tools for automating tasks like email responses, scheduling, and data extraction. User Experience & Adoption – Convert user pain points into intuitive, AI-driven solutions with explainable outputs. Cross-Functional Collaboration – Work with Engineering, Data Science, and Design teams to prototype and scale LLM-based features. AI Market Positioning – Partner with Sales and Customer Success teams to position AI capabilities as a key differentiator. Performance Metrics – Define and track KPIs such as accuracy, response time, and user engagement. Continuous Optimization – Enhance AI model efficiency and user satisfaction through iterative improvements. What you must have? 3-4 years of product management experience in AI, SaaS, or data-driven products. Proven experience building or scaling LLM-powered applications (GPT, Claude, etc.). Strong familiarity with fine-tuning, prompt engineering, context management, and model evaluation . Ability to communicate AI concepts to non-technical stakeholders. Hands-on experience with Figma, Jira, and LLM APIs (OpenAI, Anthropic, Hugging Face). Data-driven mindset with a strong grasp of AI product metrics. Thrives in fast-paced, ambiguous environments . Why Spyne? Strong Culture – Supportive, collaborative work environment. Transparency & Trust – High levels of autonomy and trust in decision-making. Health Insurance – Coverage for employees and dependents (GMC, GPA, GTLI). Dynamic Growth – Be part of a fast-growing company that’s reshaping the future of automotive retail with AI. If you're excited to shape the future of AI-powered automotive ret ail, join us at Spyne! 🚀 Show more Show less

Job Information Date Opened 06/02/2025 Job Type Full time Industry IT Services Work Experience 1-3 years City Chennai State/Province Tamilnadu Country India Zip/Postal Code 600097 Job Description Your Responsibilities Identify and qualify new business opportunities across BFSI, Healthcare, SaaS, and Technology sectors in India Collaborate closely with Google Cloud FSRs, Partner Engineers (PEs), and Partner Managers to drive joint sales opportunities Execute outbound campaigns via emails, cold calls, LinkedIn, and virtual events Leverage tools like HubSpot, Apollo.io , Clay.io , Instantly, Nook, and LinkedIn Sales Navigator for lead generation and tracking Follow up on partner referrals, Google-led events, and webinars to convert interest into meetings Support go-to-market motions for key offerings such as Looker migrations, Vertex AI solutions, and GenAI-powered custom applications Requirements What We’re Looking For 1–3 years of experience in B2B sales, inside sales, or BDR roles focused on Indian enterprises Prior experience selling professional services or IT consulting (not product/SaaS sales) Exposure to cloud platforms (Google Cloud or AWS) , and understanding of services-led sales Familiarity with data analytics, AI/ML, or GenAI projects Excellent written and verbal communication; confident in engaging mid-to-senior level stakeholders Hands-on with CRM and outbound sales tools like HubSpot, Apollo, and LinkedIn Sales Navigator Willingness to learn, grow, and transition into a quota-carrying inside sales role in the future Bonus if you have experience in Google Cloud’s partner ecosystem Benefits Why Join SquareShift? Strong co-sell motion with Google Cloud field teams Real opportunities to work on cloud, data, and GenAI transformation projects Transparent culture with high ownership and fast growth Clear path to move from BDR to a full-time inside sales role with revenue targets Exposure to cutting-edge enterprise tech and emerging AI solutions

Description About this position: We are seeking a highly skilled GCP Developer with 5-7 yrs of experience and Subject Matter Expert (SME) with an extensive background in GCP architecture at Xoriant. This pivotal role requires an individual with extensive hands-on experience in designing and deploying solutions on the Google Cloud Platform (GCP). The successful candidate will play a critical role within our team and must possess the ability to communicate effectively with both clients and team members. Role: GCP Developer Location: Bengaluru Experience: 5 to 7 years Job type: Full time Work type: Hybrid Impact you will realize: Job Responsibilities Design and implement scalable, secure, and high-performing cloud solutions on GCP, leveraging extensive hands-on experience with the platform. Develop and refine architecture blueprints and technical roadmaps for GCP-based solutions, with proficiency in GCP products and tools, such as Vertex AI, Gemini models, Agentspace, NotebookLM, G Suite, and Model Garden. Partner with enterprise architects, security, and SMEs to establish GCP DevOps standards and procedures. Provide expert-level recommendations and best practices for utilizing GCP products and services, applying demonstrated experience in delivering automated, secure cloud infrastructure solutions at enterprise scale. Collaborate with clients to understand their requirements and deliver tailored solutions, utilizing excellent oral and written communication skills to interact effectively with both technical and non-technical stakeholders. Document architecture designs, technical configurations, and deployment procedures thoroughly to ensure transparency and reproducibility. Ensure robust monitoring and incident response for deployed solutions through continuous improvement. Deploy and manage enterprise-scale GCP infrastructure using Infrastructure as Code (IaC) tools, such as Terraform. Automate deployment pipelines using CI/CD tooling, particularly GitHub Actions, with experience in leading these initiatives. Key skills you will require: Primary Skills Requires 5+ years of experience working on GCP projects and platforms GCP products and tools, such as Vertex AI, Gemini models, Agentspace, NotebookLM, G Suite, and Model Garden Experience with scripting languages such as Python, Bash, and PowerShell Why should you join Xoriant? Xoriant is a trusted provider of digital engineering services, renowned for building and operating complex platforms and products at scale. With three decades of software engineering excellence, we combine modern technology expertise in Data & AI (GenAI), cloud & security, domain and process consulting to solve complex technology challenges. We serve over 100 Fortune 500 companies and tech startups on their journey to becoming unicorns and beyond. As a "right-sized" company, we bring agility through our 5000+ passionate XFactors (our employees) from over 20 countries, fostering a culture focused on purpose and employee happiness. Want to experience life at Xoriant? In our inclusive workspace, we turn imagination into reality — everyday! Business for Purpose: Be part of a passionate team and create a better future through tech & innovation. Giving Back to Community: Build a stronger business and community by volunteering and make a positive impact in the community. Rise to Sustain: Support your career growth in a way that helps ensure long-term success. Continuous Learning: Stay curious and keep learning with us to drive innovation. Wellness First: Prioritize well-being with multiple health benefits & experience work-life balance. Rewards & Recognition: Value your work with meaningful rewards and recognitions. One Xoriant Family: Celebrate the joy of diversity, inclusivity and togetherness through festivals. Candid Connects: Connect directly with leaders and voice your opinion. Culture of Ideation: Be a trailblazer, bring new ideas to the fore and realize them through engineering. If there’s an XFactor in you, we have a chair dedicated to your name. To know more about Xoriant, please visit: www.xoriant.com Important Notice: We have been alerted that some job candidates, who posted their resumes on specific websites and portals, have been approached by imposters posing as Xoriant and making deceptive offers using Xoriant branding. Xoriant communications from website, official email addresses, and verified social media accounts only should be considered legitimate. Xoriant will never ask for payment during the recruitment process, nor have we authorized any external agencies to collect a fee on our behalf. Avoid sharing your personal details until you verify the offer's legitimacy. Cross-check the credentials of anyone claiming to represent Xoriant with our official HR department. If you receive any suspicious job offers or fraudulent communication bearing Xoriant branding, contact us at careers@xoriant.com immediately. Equal Employment Opportunity Statement: We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, gender, national origin, age, disability, or veteran status. Our inclusive workplace values diversity and ensures that all employees are treated fairly and with respect, promoting a culture of belonging. We strive to create a supportive environment where everyone has the opportunity to succeed and contribute to our collective success. Qualifications Bachelors or Master’s with Computer Science or related field Primary Location : Gurgaon Other Locations : Bengaluru SA Job : Delivery Employee Status : Permanent Shift : Day Job Schedule : Full-time Job Posting : Apr 16, 2025, 5:43:28 AM Primary Skills. : GCP Cloud Secondary Skills. : GCP Vertex

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. Job Description About Fractal What makes Fractal a GREAT fit for you? When you join Fractal, you’ll be part of a fast-growing team that helps our clients leverage AI together with the power of behavioural sciences to make better decisions. We’re a strategic analytics partner to most admired fortune 500 companies globally, we help them power every human decision in the enterprise by bringing analytics, AI and behavioural science to the decision. Our people enjoy a collaborative work environment, exceptional training and career development — as well as unlimited growth opportunities. We have a Glassdoor rating of 4 / 5 and achieve customer NPS of 9/ 10. If you like working with a curious, supportive, high-performing team, Fractal is the place for you. close. Responsibilities Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git. Tech Skills (10+ Years’ Experience): Machine Learning (ML) & Deep Learning Solid understanding of supervised and unsupervised learning. Proficiency with deep learning architectures like Transformers, LSTMs, RNNs, etc. Generative AI: Hands-on experience with models such as OpenAI GPT4, Anthropic Claude, LLama etc. Knowledge of fine-tuning and optimizing large language models (LLMs) for specific tasks. Natural Language Processing (NLP): Expertise in NLP techniques, including text preprocessing, tokenization, embeddings, and sentiment analysis. Familiarity with NLP tasks such as text classification, summarization, translation, and question-answering. Retrieval-Augmented Generation (RAG): In-depth understanding of RAG pipelines, including knowledge retrieval techniques like dense/sparse retrieval. Experience integrating generative models with external knowledge bases or databases to augment responses. Data Engineering: Ability to build, manage, and optimize data pipelines for feeding large-scale data into AI models. Search and Retrieval Systems: Experience with building or integrating search and retrieval systems, leveraging knowledge of Elasticsearch, AI Search, ChromaDB, PGVector etc. Prompt Engineering: Expertise in crafting, fine-tuning, and optimizing prompts to improve model output quality and ensure desired results. Understanding how to guide large language models (LLMs) to achieve specific outcomes by using different prompt formats, strategies, and constraints. Knowledge of techniques like few-shot, zero-shot, and one-shot prompting, as well as using system and user prompts for enhanced model performance. Programming & Libraries: Proficiency in Python and libraries such as PyTorch, Hugging Face, etc. Knowledge of version control (Git), cloud platforms (AWS, GCP, Azure), and MLOps tools. Database Management: Experience working with SQL and NoSQL databases, as well as vector databases APIs & Integration: Ability to work with RESTful APIs and integrate generative models into applications. Evaluation & Benchmarking: Strong understanding of metrics and evaluation techniques for generative models. 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! Show more Show less