5906 Retrieval Jobs - Page 10

Job Title: Senior Finance Manager - Compliance & Taxation Job Overview: We are seeking a dynamic and detail-oriented Senior Finance Manager to lead finance compliance, taxation, transfer pricing, cross-border transactions, and MIS reporting. This critical role demands an individual with strong expertise in Indian taxation (GST, TDS), Transfer Pricing, cross-border compliance (including FEMA regulations), and the capability to independently prepare comprehensive MIS reports from scratch. The ideal candidate will be proactive, meticulous, and adept at building and mentoring a finance team. Key Responsibilities (KRAs): ✅ Statutory Filings & Compliance: Independently prepare, reconcile, and ensure timely submission of GST returns, TDS returns, PTRC/PTEC filings, and other statutory obligations. Perform detailed reconciliations to ensure accuracy and compliance. ✅ Transfer Pricing Management: Independently handle transfer pricing documentation, studies, compliance, and ensure alignment with regulatory guidelines. Analyze intercompany pricing policies, manage associated risks, and maintain necessary documentation for audits. ✅ MIS Reporting & Analysis: Develop and prepare detailed MIS reports from scratch, providing insightful financial analysis to support strategic decision-making. Regularly track and report key financial metrics, trends, and variances to senior management. ✅ Cross-Border Transactions: Independently manage and oversee all aspects of cross-border payments, ensuring compliance with FEMA regulations and international taxation principles. Analyze DTAA benefits, residency rules, foreign withholding obligations, and document the compliance meticulously. ✅ Regulatory Monitoring: Monitor changes in Indian and international tax laws (GST, Income Tax, FEMA, OECD guidelines). Provide timely updates and actionable insights to internal stakeholders to ensure ongoing compliance. ✅ Audit & Inquiry Management: Liaise with auditors (internal, external, statutory) and respond efficiently to queries or notices from tax authorities. Maintain comprehensive reconciliations and justifications for tax positions, ensuring readiness for audits. ✅ Policy & Process Improvement: Identify opportunities to automate and streamline compliance workflows. Recommend improvements in financial reporting, filing cycles, and internal controls. ✅ Team Building & Leadership: Build, mentor, and lead a high-performing finance team from the ground up. Provide guidance, training, and professional development to junior team members. ✅ Documentation & Record-Keeping: Maintain organized repositories of returns, tax opinions, reconciliations, and departmental correspondences. Ensure prompt retrieval of critical documents for audits, assessments, or internal reviews. Required Skills & Tools: Expertise in Transfer Pricing and cross-border transaction compliance. Advanced proficiency in Tally Prime, MS Excel, Google Sheets, and ERP systems. Strong in-depth knowledge of Indian taxation compliance (GST, TDS, PTRC/PTEC). Extensive experience in independently managing statutory reconciliations and filings. Excellent analytical skills for preparing and interpreting MIS reports. Proficiency with Indian taxation portals, GSTN, TRACES, and online filing systems. Superior organizational, communication, and compliance management skills. Educational Qualification: Bachelor’s Degree in Commerce, Accounting, or Finance. Additional certifications in Taxation, GST, Transfer Pricing, or International Taxation are preferred. Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹70,000.00 per month Benefits: Provident Fund Schedule: Day shift Application Question(s): What is your current ctc ? What is your expected ctc? Are you an immediate joiner? Do you have experience on International Taxation for countries Such as USA and UAE? Do you have experience in Making MIS Reports? Do you have experience in Transfer Price? Do you have experience on cross border transactions? Experience: International Taxation: 3 years (Required) Location: Lower Parel, Mumbai, Maharashtra (Required) Work Location: In person

Key Responsibilities: Manage and organize all incoming and outgoing documents Maintain hard and soft copies of office files in a proper filing system Update records and document logs regularly Handle document distribution, retrieval, and archiving Ensure that all paperwork is properly signed, stamped, and recorded Follow company policies on document control and confidentiality Coordinate with other departments for document sharing and approvals Monitor and renew contracts, licenses, or any expiry-based documents Requirements Good knowledge of MS Office (Word, Excel, Outlook) Attention to detail and accuracy Strong organizational and time-management skills Ability to maintain confidentiality freshers can also apply for this post Job Types: Full-time, Permanent, Fresher Pay: Up to ₹12,000.00 per month Benefits: Cell phone reimbursement Internet reimbursement Schedule: Day shift Work Location: In person

Experience: 5+ Years Employment Type: Full-Time About the Role: We are looking for a highly skilled Data Scientist with a strong background in Machine Learning , Statistical Modeling , and hands-on experience working with Generative AI technologies. The ideal candidate will have deep technical expertise in agentic AI systems , RAG (Retrieval-Augmented Generation) architectures , and the ability to implement, fine-tune, and evaluate large language models such as OpenAI, LLaMA , or Cortex . This is a high-impact role where you'll be building intelligent, scalable, and context-aware AI solutions that solve real-world business problems. Key Responsibilities: Design and implement agentic AI systems that leverage memory, planning, and tool-use capabilities. Develop and deploy RAG-based architectures integrating internal data sources with LLMs to enable knowledge-grounded responses. Apply advanced statistical modeling and machine learning techniques to extract insights and predict outcomes from large datasets. Integrate and fine-tune Generative AI models like OpenAI (GPT), LLaMA, or Cortex for custom use cases. Build intelligent pipelines using Python for data preprocessing, model training, and evaluation. Collaborate cross-functionally with product, engineering, and business teams to drive AI/ML adoption. Ensure scalability, accuracy, and ethical usage of AI models in production environments. Required Skills and Qualifications: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or related field. 5+ years of experience in ML/AI engineering or data science roles. Strong experience with Python , NumPy, Pandas, Scikit-learn, and ML libraries like TensorFlow or PyTorch. Hands-on with Gen AI platforms such as OpenAI , LLaMA , Anthropic , or Cortex AI . Deep understanding of RAG pipelines , vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding techniques. Experience working on agentic AI frameworks like LangChain, AutoGPT, or OpenAgents. Solid grounding in statistical analysis , A/B testing, and predictive modeling. Familiarity with prompt engineering, fine-tuning, and evaluation metrics for LLMs. Good understanding of data privacy, model bias, and responsible AI practices. Nice to Have: Experience with tools like LangChain , Haystack , or LLM orchestration frameworks . Exposure to cloud platforms (AWS, GCP, Azure) for deploying ML models. Experience working with MLOps pipelines for productionalizing AI solutions. At TulaPi (pronounced tuu-la-pie), we’re building more than just a company – we’re crafting a movement. A movement that’s redefining what’s possible with data, machine learning, and AI, all powered by Snowflake's industry-leading platform. Think of us as the brainy rebels of the data world, bold enough to dream big and skilled enough to make it happen. We’re not just here to follow trends – we’re here to set them. From solving the most complex data challenges to building next-gen ML/AI solutions, we’re going to chart new territory every day. This is where the best talent comes to push boundaries, flex creative muscles, and make a real impact. At Tula Pi, you won’t just be working with cutting-edge tools and technologies – you’ll be shaping the future of what they can do. Whether you’re an architect of the cloud, an engineer with a knack for unlocking AI’s potential, or a strategist ready to disrupt the status quo, we’re looking for trailblazers like you to join our journey. Why Join Us? Big Challenges, Bigger Impact: Work on transformative projects that push the limits of what’s possible in ML/AI. Smart is the Standard: Collaborate with some of the brightest minds in the industry. Global Vision, Local Vibes: Be part of a team that’s global in its ambition but intimate in its culture. ️ Tools of Tomorrow: Gain access to the most advanced data and AI platforms, including Snowflake, and make them dance to your tune. Your Playground: A startup environment where your ideas, creativity, and innovation won’t just be welcomed – they’ll be celebrated. Get the chance to work closely with CEO and CTO with exposure to strategic decision-making. Tulapi is more than a workplace; it’s a destination for those who want their work to matter, their ideas to fly, and their careers to soar. If you're ready to work hard, dream bigger, and redefine the future of ML/AI, welcome home. Website: Tulapi.ai LinkedIn: https://www.linkedin.com/company/tulapi-ai/ Data fortune Software Solution is a 12+ year old company Based out of Pune . Our Head Office is in Atlanta , Georgia , US . we are around 150+ We work with US clients . Enterprise Data Management:-> Data Engineer, Snowflake, Azure, Power Bi , Tableau, SQL Server, SQL Server DBA. Application side - > Python, Dot Net , Angular, Flutter, Node, React , PHP, Vue JS , Java script , Flutter, Automation testing , Selenium , Load testing , etc. Website: https://datafortune.com/ LinkedIn: https://www.linkedin.com/company/datafortune/posts/?feedView=all

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Digital Engineering Senior 1-2– Consulting EY GDS Consulting digital, is looking out for experienced web content management expert, especially on Microsoft Office365. Resource will be part of Enterprise Content Management team delivering to clients across regions. The opportunity We are seeking skilled professionals with expertise in .NET, custom SharePoint development, and Retrieval-Augmented Generation (RAG) implementation to join our Digital Engineering Consulting team. This role offers a unique opportunity to contribute to innovative technology solutions within a leading firm, playing a key role in expanding our digital service capabilities. Your key responsibilities Produces high-quality solution or infrastructure deliverables in accordance with project timelines and specifications, using sound coding and programming skills Performs coding, debugging, testing and troubleshooting throughout the development process contributing to moderately complex aspects of a project Maintains and enhances systems by fixing complicated errors, raising risks and escalating issues where necessary Works with users to capture detailed requirements, translating designs and solution architecture into design specifications Monitors and reports on potential risks/opportunities of emerging technologies, and seeks areas for continuous improvement Ensures all activities adhere to the relevant processes, procedures, standards and technical design Develop and promote best practices for usage, operations and development Strong analytical and communication skills with intense drive to learn and adopt. Skills and attributes 4-6 years of professional experience SharePoint Development: SPFx, PnP Framework, PowerShell, SharePoint Online (Intranet/Extranet architecture). .NET Technologies: C#, ASP.NET MVC. Client-Side Development: JavaScript, TypeScript, React JS, AngularJS, Fluent UI, Knockout JS, HTML5, CSS, Ajax, JSON, jQuery. API Integration: REST, SOAP, authentication (OAuth, OpenID Connect). Python: Experience in building RAG (Retrieval-Augmented Generation) solutions.Core Skills: Desirable Skills: (good to have) AI Builder: Custom AI models, integration with Power Platform Microsoft 365 Copilot: Integration with M365 apps Azure DevOps: CI/CD, source control Microsoft Teams: App development, integration Passion for the web, open source development, and for helping us build meaningful experiences. Experience in consulting strongly preferred. Strong problem-solving abilities, taking initiative, and the ability to thrive under pressure. Maintain a positive and constructive outlook, focus on driving results, finding solutions / breakthroughs to solve problems and challenges; has a positive influence on peers. Interpersonal and communication skills. Respond positively to opportunities to be involved in brainstorming and iterative work. Handle times of change in a way that drives innovation and iteration. Work in collaborative and supportive manner. Listen carefully to provided information and ask clarifying questions. Actively listen as a learner rather than a passive recipient of information. Bachelor's or Master's degree in Computer Science or related discipline preferred. Soft Skills Excellent Communication Skills Team Player Self-starter and highly motivated Ability to handle high pressure and fast paced situations Excellent presentation skills Ability to work with globally distributed teams To qualify for the role, you must have A bachelor's or master's degree A minimum of4+ years of experience, preferably background in a professional services firm. Strong knowledge of SharePoint 2016/2019/o365 Strong knowledge of SharePoint Framework (SPFx) Strong knowledge of TypeScript, React JS, AngularJS & Fluent UI. Strong knowledge of PowerShell & PnP. Excellent communication skills with consulting experience preferred Ideally, you’ll also have Analytical ability to manage multiple projects and prioritize tasks into manageable work products. Can operate independently or with minimum supervision What working at EY offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Title: Sr. Consultant Location: Bangalore Work Mode: Onsite (Work from office) Education Qualification: BCA, MCA, BE (Computer Science) Experience: 6+ yrs. Responsibilities Include Lead a minimum of 5+ end-to-end SAP data and document archiving projects, covering all phases from planning and requirement gathering to execution, go-live, and post implementation support. Ensure archiving solutions comply with legal and regulatory requirements such as GDPR, SOX, and other industry-specific data retention and deletion mandates. Design and implement data and document archiving strategies that align with business objectives, improve system performance, and optimize database management by reducing online data volume. hands-on experience with SAP Archive Development Kit (ADK), SAP standard and custom archive objects, Archive object configuration and retrieval processes, Archive job scheduling and performance tuning. Good understanding of SAP Basis administration, SAP HANA, and the overall system architecture required to implement efficient and secure archiving solutions. Knowledge of specific SAP modules (e.g., SAP FI, CO, MM, SD) and their data archiving processes. Identify and resolve technical and functional issues related to archiving jobs, data access, and document retrieval, ensuring minimal disruption to operations. Manage project timelines, milestones, and deliverables, while coordinating with crossfunctional teams including business users, IT teams, and third-party vendors. Deliver end-user training, prepare detailed technical and functional documentation and post-implementation support. Collaborate with key stakeholders to define and implement data archiving policies, retention rules, and lifecycle governance aligned with business and compliance needs. Strong command of SAP ILM components, including ILM Rules Framework, Data Archiving and Retention Warehouse, ILM in SAP HANA and S/4HANA, Audit and compliance reporting, Regulatory policy enforcement. Familiarity with OpenText On-premises Archive Center/Core Archive Installation, Configuration & Administration on both Windows and Linux platforms. Skills Required 6 to 8 years of hands-on experience in SAP Data and Document Archiving. Strong expertise in OpenText Archive Center and OpenText Core Archive implementations. Proven experience in end-to-end project management for archiving solutions. Deep understanding of SAP archive objects and data lifecycle management. Working knowledge of SAP ILM (Information Lifecycle Management). Familiarity with SAP BASIS administration and ABAP debugging is a plus. Good understanding of compliance requirements like GDPR and data protection laws. Strong analytical, communication, and documentation skills. Comfortable working in a fast paced and dynamic work environment. High on energy and focus to achieve outcomes. About Avaali Headquartered in Bangalore, started in 2013, Avaali Solutions is a leading provider of digital solutions to help reduce operational costs for upper mid to large enterprises. The company has executed over 250+ engagements for large marquee brands across Asia, MEA and parts of Europe. The company has its product line under Velocious as well as its services and consulting offerings in partnership with various technology vendors. The company has done some of largest and most complex shared service automation projects and consolidated, standardized and automated these processes. As a result of their engagements, they have brought about a 35-50% reduction in process cycle time and a 10-15% reduction in cost. Improved visibility, governance and transparency are other themes that Avaali focuses on via these initiatives. The company has deep skills on technologies such as ML based ICR/OCR, enterprise content management, workflow automation solutions, chatbot, RPA and digital signature. The company has a dominant presence in procure to pay automation with over 100+ implementations in this space. Some of the prominent clients of Avaali are Tata Sky, Borosil, Sun TV, Bidco Africa, Nayara Energy and many more. For more information please website: https://www.avaali.com/ Job Department Technology Job Type Full Time Job Location Bangalore

Location Bangalore, Karnataka, 560048 Category Engineering Job Type Full time Job Id 1191041 No AI & Analytics Workload Specialist This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results. Join us redefine what’s next for you. The HPE Worldwide Hybrid Cloud Acceleration Team is seeking a technically skilled and innovative Solutions Engineer to join our global AI and Analytics team. This intermediate-level role is ideal for individuals who want to build real-world AI solutions to address customer problems, contribute to enterprise-scale validation projects, and drive field enablement with impactful assets. You will work closely with Solution Product Managers, workload Subject Matter Experts, and field teams to deliver innovative AI/Analytics workload solutions that position HPE as a leader in data-driven transformation. What you’ll do: Design & Validation Apply technical expertise to design and validate AI/Analytics workload solutions. Contribute technical assets such as demos, white papers, videos, blogs, labs, and internal enablement materials. Collaborate with stakeholders to define the scope and align solutions with business needs. Leverage internal infrastructure and AI-powered tools to accelerate development and validation. Field Enablement & Asset Creation Create compelling enablement content for the field, partners, and customers. Support solution adoption through TekTalks, webinars, Slack forums, and internal events. Integrate assets with field tools and help measure asset utilization. Career Development Invest in technical and personal growth through internal training, certifications, mentorships, and participation in HPE’s Technical Career Path (TCP). Contribute to team goals, mentor peers, and participate in a collaborative engineering environment. What you need to bring: 2 - 4 years of hands-on experience in building or validating AI and Analytics solutions, with a focus on real-world enterprise use cases. Proven experience developing or deploying AI-powered applications such as: Retrieval-Augmented Generation (RAG) systems Conversational AI/chatbot solutions ML model pipelines for analytics or inference Strong proficiency in Python and familiarity with common AI/ML frameworks (e.g., LangChain, Hugging Face, PyTorch, TensorFlow, OpenAI APIs). Hands-on experience with data manipulation, embedding/vector databases (e.g., FAISS, Chroma, Weaviate), and prompt engineering. Experience with virtualization platforms (e.g., VMware, KVM) and containers (e.g., Docker, Kubernetes) is a plus. Familiarity with deploying AI workloads in cloud environments (e.g., Azure, AWS, or GCP), particularly using GPU-accelerated instances, is a plus. Strong written and verbal communication skills, with the ability to explain complex technical ideas clearly. Bachelor’s degree in computer science, Data Science, Engineering, or a related technical field. Preferred Qualifications: Understanding of enterprise IT systems, storage, and hybrid cloud architecture. Prior experience building AI/ML solution reference architectures or benchmarks. Published technical content (e.g., blogs, demos, white papers). Additional Skills: Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX) What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #hybridcloud Job: Engineering Job Level: TCP_02 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Job Title: Senior Engineer/ Electrical Panel Designer Location: Ahmedabad Experience: 2 to 5 Year Job Description: We are seeking an experienced Electrical AutoCAD Draughtsman to join our team. The ideal candidate will be responsible for creating accurate technical drawings and diagrams for electrical systems using AutoCAD software. This role requires a keen eye for detail, proficiency in electrical drafting standards, and the ability to interpret engineering designs and specifications. Key Responsibilities:  Drafting Electrical Layouts: Create detailed electrical layout drawings, including plans, schematics, wiring diagrams, and panel layouts, using AutoCAD software.  Interpreting Engineering Designs: Interpret engineering designs, specifications, and technical drawings to produce accurate electrical drawings that comply with project requirements and industry standards.  Collaboration: Collaborate with engineers, designers, and other stakeholders to understand project objectives, requirements, and constraints, and to ensure that drawings accurately reflect design intent.  Quality Assurance: Conduct quality checks on drawings to ensure accuracy, completeness, and compliance with project standards and specifications.  Documentation: Maintain organized documentation of drawings and revisions, including version control and file management, to ensure easy access and retrieval of information.  Technical Support: Provide technical support to project teams and other departments, including resolving drawing-related issues, clarifying design details, and offering expertise on electrical drafting standards and best practices.  Continuous Improvement: Stay updated on industry trends, advancements in AutoCAD software, and changes in electrical drafting standards to continuously improve skills and enhance drawing processes. Qualifications:  Diploma or bachelor’s degree in electrical engineering, Drafting, or related field.  Proven experience as an Electrical AutoCAD Draughtsman, preferably in the electrical panel design.  Proficiency in AutoCAD software and electrical drafting techniques.  Strong understanding of electrical engineering principles, standards, and codes.  Excellent attention to detail and accuracy in drafting.  Effective communication and collaboration skills.  Ability to work independently and meet project deadlines. Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹40,000.00 per month Benefits: Health insurance Provident Fund Work Location: In person

Job Title: Senior ABAP Developer (S/4HANA) Job Description: We are seeking an experienced and skilled ABAP Developer to join our development team. The role involves developing, maintaining, and enhancing existing SAP S/4HANA systems, with a focus on performance optimization, developing custom Workflow solutions, improving data retrieval efficiency from databases, and developing complex interfaces. The successful candidate will play an active role in the analysis, design, development, and testing of complex business solutions within the SAP S/4HANA environment. Job Requirements: * At least 5 years of proven experience in ABAP development in an SAP S/4HANA environment - mandatory. * In-depth experience in developing and/or customizing Workflows (SAP Business Workflow), including knowledge of Business Objects, Events, Tasks, and complex processes. * Proven knowledge and experience in writing efficient and optimized code (Performance Tuning), including: * Deep understanding of ABAP Open SQL queries and performance. * Ability to analyze and resolve performance issues using tools such as ABAP Runtime Analysis (SE30) and SQL Trace (ST05). * Optimization of queries, indexes, and proper use of internal tables. * Strong familiarity with the HANA Sidecar/Code-to-Data Paradigm and best practices in S/4HANA. * Proven experience in developing complex Interfaces using: * IDoc, RFC, BAPI. * REST/SOAP-based APIs (ABAP RESTful Application Programming - RAP) - significant advantage. * Experience with OData Services - advantage. * Experience working with various functional modules such as FI, CO, MM, SD, PP (at least 2-3 modules). * Ability to technically define business requirements, design solutions, and write Technical Design Documents. * Ability to work independently and as part of a team, with excellent interpersonal communication skills. * High level of English proficiency (reading, writing, and speaking) - mandatory. * Experience working in an ABAP OO (Object-Oriented ABAP) environment – advantage. * Practical knowledge and experience in development on SAP Business Technology Platform (BTP) and/or SAP HANA Cloud - significant advantage. * Familiarity with Fiori/UI5 development – advantage. Key Responsibilities: * Developing, testing, and maintaining advanced ABAP solutions in the SAP S/4HANA environment. * Optimizing and improving code performance and existing queries, leveraging SAP HANA capabilities. * Designing and developing complex SAP Workflow processes. * Developing and maintaining interfaces between SAP systems and external systems. * Supporting troubleshooting and system issues. * Working with functional analysts and business stakeholders to understand needs. * Writing comprehensive technical documentation for developments.

Roles & Responsibilities Key Responsibilities Design, develop, and optimize Machine Learning & Deep Learning models using Python and libraries such as TensorFlow, PyTorch, and Scikit-learn Work with Large Language Models (e.g., GPT, BERT, T5) to solve NLP tasks such as, semantic search, summarization, chatbots, conversational agents, and document intelligence. Lead the development of scalable AI solution including data preprocessing, embedding generation, vector search, and prompt orchestration. Build and manage vector databases and metadata stores to support high-performance semantic retrieval and contextual memory. Implement caching, queuing, and background processing systems to ensure performance and reliability at scale. Conduct independent R&D to implement cutting-edge AI methodologies, evaluate open-source innovations, and prototype experimental solutions Apply predictive analytics and statistical techniques to mine actionable insights from structured and unstructured data. Build and maintain robust data pipelines and infrastructure for end-to-end ML model training, testing, and deployment Collaborate with cross-functional teams to integrate AI solutions into business processes Contribute to the MLOps lifecycle, including model versioning, CI/CD, performance monitoring, retraining strategies, and deployment automation Stay updated with the latest developments in AI/ML by reading academic papers, and experimenting with novel tools or frameworks Required Skills & Qualifications Proficient in Python, with hands-on experience in key ML libraries: TensorFlow, PyTorch, Scikit-learn, and HuggingFace Transformers Strong understanding of machine learning fundamentals, deep learning architectures (CNNs, RNNs, transformers), and statistical modeling Practical experience working with and fine-tuning LLMs and foundation models Deep understanding of vector search, embeddings, and semantic retrieval techniques. Expertise in predictive modeling, including regression, classification, time series, clustering, and anomaly detection Comfortable working with large-scale datasets using Pandas, NumPy, SciPy etc. Experience with cloud platforms (AWS, GCP, or Azure) for training and deployment is a plus Preferred Qualifications Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or related technical discipline. Experience with MLOps tools and workflows (e.g., Docker, Kubernetes, MLflow, SageMaker, Vertex AI). Ability to build and expose APIs for models using FastAPI, Flask, or similar frameworks. Familiarity with data visualization (Matplotlib, Seaborn) and dashboarding (Plotly) tools or equivalent Working knowledge of version control, experiment tracking, and team collaboration Experience 8-11 Years Skills Primary Skill: AI/ML Development Sub Skill(s): AI/ML Development Additional Skill(s): TensorFlow, NLP, Pytorch, Large Language Models (LLM) About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.

Company Description DropX Logistics is a technology-driven logistics company headquartered in Kerala. We specialize in fast and efficient delivery services, ensuring that orders reach their destination in the shortest possible time. Our expert team handles shipments at every stage of the supply chain, from the first mile to the last mile. Role Overview The Fleet & Asset Manager will be responsible for end-to-end management of all company vehicles (including EVs and 2/3/4-wheelers), as well as key IT and electrical assets such as laptops, inverters, scanners, and surveillance systems. The role requires tight control on asset lifecycle, service tracking, cost optimization, and deployment planning. Key Responsibilities Fleet Management Manage daily deployment and availability of 2W/3W/4W vehicles across hubs. Optimize routing and utilization to reduce dependency on third-party vehicles. Oversee new vehicle procurement and onboarding based on operational requirements. Monitor vehicle health, servicing schedules, battery health (for EVs), and insurance compliance. Track fuel usage and EV charging cycles to reduce cost leakages. Maintain proper documentation and logs for all vehicles. Asset Management (IT + Electrical) Maintain an up-to-date asset inventory for: IT equipment: laptops, desktops, mobile phones, scanners. Electrical equipment: inverters, CCTVs, routers, printers, etc. Oversee allocation, servicing, repair, and retrieval of all assets across teams and locations. Ensure timely AMC renewals, vendor coordination, and preventive maintenance. Support new asset procurement aligned with business needs and cost control. Cost Control & Reporting Monitor and report on total cost of ownership (TCO) for both fleet and equipment. Analyze utilization trends and recommend cost-saving opportunities. Submit monthly performance reports on asset health, usage, and expenditure. Work with Finance and Ops to plan future capex and opex requirements. Requirements Bachelor’s degree in Operations, Logistics, or related technical field. 1–3 years of experience in fleet and/or asset management (logistics experience preferred). Familiarity with electric vehicles and basic IT/electrical hardware is a strong plus. Experience with inventory tracking tools, fleet management software, or asset management platforms. Strong organizational and documentation skills. Willingness to travel across delivery hubs (as required).

Pandita AI is a rapidly growing Applied AI startup headquartered in Palo Alto, California , with an Applied AI division based in Mysore, India . We specialize in building domain-specific LLMs , multimodal generative systems , and agentic workflows for real-world problems across scientific computing, document intelligence, and industrial automation. We are looking for a Generative AI Applied Scientist to join our core research team in Mysore. This is a high-impact, high-ownership role for those who thrive at the intersection of deep research , problem discovery , and real-world deployment . Key Responsibilities Proactively identify high-value problem areas where generative AI can deliver measurable impact. Translate ambiguous or emerging needs into well-defined ML tasks and deliver production-grade solutions . Design and develop custom generative models (e.g., Transformers, LLMs, Diffusion Models, VAEs). Own the end-to-end lifecycle of model development — from prototyping to cloud/API deployment . Good communication skills that involve being able to talk to customers, identify problem statements, and communicate impactful results. Collaborate across research, product, and engineering teams to embed generative AI into vertical solutions. Required Qualifications PhD or Masters with Thesis and 5+ years in Computer Science, Machine Learning, AI, or a closely related field. Strong research track record with publications in top-tier conferences (e.g., IEEE TPAMI, CVPR, ICML, ICLR, NeurIPS, ACL ). Expertise in deep generative models , representation learning , and probabilistic methods . Experience in building models that solve real-world problems and can be scaled into production systems . Fluency in Python and modern ML stacks (e.g., PyTorch, JAX, Hugging Face). Willingness to work onsite in Mysore and collaborate across time zones with the US-based HQ. Involves travel about 25-50% to client locations. Preferred Qualifications Experience in LLM fine-tuning , multimodal systems , or diffusion-based generation . Familiarity with retrieval-augmented generation , causal inference , or workflow agents . Experience deploying models via Docker, ONNX, or cloud-native APIs (AWS/GCP). A track record of discovering novel application areas and developing first-of-their-kind solutions. What We Offer A fast-paced startup environment backed by cutting-edge research and global customers. ESOPs/Equity and competitive compensation. Access to high-performance compute (A100s, H100s), internal datasets, and modern MLOps tooling. Clear runway for career growth , technical leadership , and IP ownership . A collaborative and ambitious team working on some of the most important problems in applied AI — from Mysore and Palo Alto .

About Pandita AI Solutions Pandita AI Solutions is a rapidly growing AI startup with headquarters in Palo Alto, CA and a thriving engineering division in Mysore, India . We are pioneers in developing generative AI systems, foundation models, and multimodal applications that solve real-world problems across industries like healthcare, scientific computing, and document intelligence. We’re now looking to automate our internal operations using cutting-edge agentic AI and LLM-driven tools. This effort will be led by the founding team in close collaboration with a dedicated Generative AI Engineer , who will help implement intelligent automation — and later scale it for external clients and products . Key Responsibilities Work closely with the leadership team to map internal processes that can benefit from AI-based automation (e.g., document handling, research synthesis, client onboarding, code generation, workflow orchestration). Build internal tools using LLMs and agent frameworks (LangChain, OpenAI Functions, AutoGen, CrewAI, etc.) for semi-autonomous task execution. Prototype, test, and refine agentic applications that integrate with internal systems (e.g., Notion, Slack, GitHub, Airtable, email, databases). As the automation matures internally, support the transition to external automation offerings for clients across domains. Maintain a portfolio of your work in GitHub, and contribute reusable components to the broader engineering team. Minimum Qualifications Master’s degree in Computer Science, AI, Data Science, or a related technical field. Solid programming skills in Python and experience building backend services, APIs, or automation tools. Demonstrated ability to build and maintain agent-based apps using tools like LangChain, CrewAI, LlamaIndex , or custom orchestration frameworks. A strong GitHub portfolio of previous automation projects or agentic AI applications (personal or professional). Familiarity with REST APIs, cloud services (AWS/GCP), and tools like Docker, FastAPI, or Streamlit. Preferred Qualifications Experience integrating LLMs with external APIs and multi-step workflows (e.g., form parsing + summarization + ticket generation). Familiarity with tools like Zapier , Make , Airflow , or custom workflow engines . Understanding of retrieval-augmented generation (RAG) , embeddings, and prompt engineering best practices. Publications in International conferences such as IEEE, ICML, NIPS Entrepreneurial mindset with a willingness to explore ambiguous spaces and iterate rapidly. What We Offer A unique opportunity to work directly with founders and AI researchers on defining the next era of automation. A fast-paced, early-stage startup culture with a focus on delivery, ownership, and learning . ESOPs , competitive compensation, and access to high-end compute infrastructure. Long-term growth opportunity to lead automation efforts both internally and across external enterprise deployments .

Position: MERN Stack Developer Location: Onsite - Mumbai Employment Type: Full-Time Experience Required: 1 to 3 years About Nurdd Nurdd is an AI-powered marketing attribution platform built for the modern influencer economy. We help brands understand what actually drives performance in creator-led campaigns through advanced data tracking, attribution models, and real-time insights. Our systems enable brands to make ROI-driven decisions while eliminating inefficiencies in influencer marketing. We’re building scalable, intelligent infrastructure that powers the future of brand-creator collaboration—and we’re looking for engineers who can bring that vision to life. Role Overview We are hiring a MERN Stack Developer to join our engineering team. You will be responsible for developing and maintaining backend services and full-stack features that support our attribution engine. The ideal candidate will be confident in both frontend and backend development using MongoDB, Express.js, React.js, and Node.js, with experience in building scalable APIs and integrating AI-based services. Responsibilities Design, develop, and maintain web applications using the MERN stack Build RESTful and GraphQL APIs to power frontend and mobile apps Work closely with the AI/ML team to integrate model outputs and analytics Optimize data storage and retrieval using MongoDB for large-scale attribution data Implement secure, scalable, and modular backend architecture on AWS or similar platforms Collaborate with frontend developers to deliver seamless end-to-end product experiences Write clean, efficient, and well-documented code Participate in code reviews and continuously improve development workflows Requirements 1 to 3 years of hands-on experience with the full MERN stack Strong proficiency in Node.js, Express.js, React.js, and MongoDB Experience with building and consuming REST/GraphQL APIs Familiarity with cloud platforms (preferably AWS) for deployment and scaling Working knowledge of Git and collaborative development workflows Ability to translate business logic into scalable backend services Strong debugging and problem-solving skills Preferred Skills Experience with Firebase Authentication, AWS Lambda, or EC2 Exposure to AI/ML-driven applications or analytics dashboards Understanding of authentication, authorization, and data privacy best practices Familiarity with Docker, CI/CD pipelines, or serverless architecture Why Work With Us Be part of a product team solving attribution and performance measurement at scale Work in a fast-moving, technically challenging environment with high ownership Join an early-stage team building the next-gen stack for the creator economy

Accounting Financial Management Bookkeeping Record Keeping: Maintain accurate and up-to-date financial records , including ledgers, journals, and subsidiary books, making sure all transactions are recorded correctly and on time. Organize and maintain proper financial documentation, both physical and digital, for easy retrieval and audit purposes. Accounts Payable (AP): Process vendor invoices , ensuring proper approvals and accurate coding to relevant accounts. Prepare and process vendor payments, making sure they're disbursed on time and reconciling vendor statements. Accounts Receivable (AR): Generate and issue invoices to clients for services or goods. Monitor outstanding receivables, follow up with clients for timely collections, and accurately process customer payments. Bank Cash Management: Perform daily, weekly, or monthly bank reconciliations , ensuring accuracy between bank statements and internal records. Manage petty cash , handle cash transactions, and ensure proper reconciliation. Statutory Compliance: Assist with the preparation and filing of various tax returns, including GST (Goods and Services Tax), TDS (Tax Deducted at Source), and Income Tax , ensuring adherence to Indian tax laws and deadlines. Help prepare documentation for audits (internal and external) and liaise with auditors as needed. Financial Reporting Assistance: Support the preparation of basic financial statements , such as Profit Loss statements and Balance Sheets, under the guidance of senior management or consultants. Assist during month-end and year-end closing processes. II. Administrative Office Management Office Operations: Manage general office administration , ensuring a smooth workflow and an organized work environment. Oversee office supplies inventory , placing orders and making sure everything is available when needed. Handle incoming and outgoing mail, couriers, and general correspondence. Reception Communication: Greet visitors, answer and direct phone calls, and manage general email inquiries professionally. Provide administrative support to management and other departments as needed. HR Support (Basic): Maintain basic employee records (attendance, leaves, personal information). Assist with basic payroll data collection (e. g., attendance data for processing). Support the onboarding of new employees by preparing necessary paperwork and setting up workspaces. Vendor Management: Liaise with various service providers (e. g., internet, utilities, cleaning services) to ensure smooth operations. Document Management: Maintain an organized filing system for all administrative documents, contracts, and records. This job is provided by Shine.com

Job Title: Python Developer Experience Level: 5-7 Years Location : Hyderabad Job Description We are seeking an experienced Lead Python Developer with a proven track record of building scalable and secure applications, specifically in the travel and tourism industry. The ideal candidate should possess in-depth knowledge of Python, modern development frameworks, and expertise in integrating third-party travel APIs. This role demands a leader who can foster innovation while adhering to industry standards for security, scalability, and performance. Roles and Responsibilities Application Development: Architect and develop robust, high-performance applications using Python frameworks such as Django, Flask, and FastAPI. API Integration: Design and implement seamless integration with third-party APIs, including GDS, CRS, OTA, and airline-specific APIs, to enable real-time data retrieval for booking, pricing, and availability. Data Management: Develop and optimize complex data pipelines to manage structured and unstructured data, utilizing ETL processes, data lakes, and distributed storage solutions. Microservices Architecture: Build modular applications using microservices principles to ensure scalability, independent deployment, and high availability. Performance Optimization: Enhance application performance through efficient resource management, load balancing, and faster query handling to deliver an exceptional user experience. Security and Compliance: Implement secure coding practices, manage data encryption, and ensure compliance with industry standards such as PCI DSS and GDPR. Automation and Deployment: Leverage CI/CD pipelines, containerization, and orchestration tools to automate testing, deployment, and monitoring processes. Collaboration: Work closely with front-end developers, product managers, and stakeholders to deliver high- quality, user-centric solutions aligned with business goals.Requirements  Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.  Technical Expertise: o At least 4 years of hands-on experience with Python frameworks like Django, Flask, and FastAPI. o Proficiency in RESTful APIs, GraphQL, and asynchronous programming. o Strong knowledge of SQL/No SQL databases (PostgreSQL, MongoDB) and big data tools (e.g., Spark, Kafka). o Experience with cloud platforms (AWS, Azure, Google Cloud), containerization (Docker, Kubernetes), and CI/CD tools (e.g., Jenkins, GitLab CI). o Familiarity with testing tools such as PyTest, Selenium, and SonarQube. o Expertise in travel APIs, booking flows, and payment gateway integrations.  Soft Skills: o Excellent problem-solving and analytical abilities. o Strong communication, presentation, and teamwork skills. o A proactive attitude with a willingness to take ownership and perform under pressure.

Location Bangalore, Karnataka, 560048 Category Engineering Job Type Full time Job Id 1191041 No AI & Analytics Workload Specialist This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results. Join us redefine what’s next for you. The HPE Worldwide Hybrid Cloud Acceleration Team is seeking a technically skilled and innovative Solutions Engineer to join our global AI and Analytics team. This intermediate-level role is ideal for individuals who want to build real-world AI solutions to address customer problems, contribute to enterprise-scale validation projects, and drive field enablement with impactful assets. You will work closely with Solution Product Managers, workload Subject Matter Experts, and field teams to deliver innovative AI/Analytics workload solutions that position HPE as a leader in data-driven transformation. What you’ll do: Design & Validation Apply technical expertise to design and validate AI/Analytics workload solutions. Contribute technical assets such as demos, white papers, videos, blogs, labs, and internal enablement materials. Collaborate with stakeholders to define the scope and align solutions with business needs. Leverage internal infrastructure and AI-powered tools to accelerate development and validation. Field Enablement & Asset Creation Create compelling enablement content for the field, partners, and customers. Support solution adoption through TekTalks, webinars, Slack forums, and internal events. Integrate assets with field tools and help measure asset utilization. Career Development Invest in technical and personal growth through internal training, certifications, mentorships, and participation in HPE’s Technical Career Path (TCP). Contribute to team goals, mentor peers, and participate in a collaborative engineering environment. What you need to bring: 2 - 4 years of hands-on experience in building or validating AI and Analytics solutions, with a focus on real-world enterprise use cases. Proven experience developing or deploying AI-powered applications such as: Retrieval-Augmented Generation (RAG) systems Conversational AI/chatbot solutions ML model pipelines for analytics or inference Strong proficiency in Python and familiarity with common AI/ML frameworks (e.g., LangChain, Hugging Face, PyTorch, TensorFlow, OpenAI APIs). Hands-on experience with data manipulation, embedding/vector databases (e.g., FAISS, Chroma, Weaviate), and prompt engineering. Experience with virtualization platforms (e.g., VMware, KVM) and containers (e.g., Docker, Kubernetes) is a plus. Familiarity with deploying AI workloads in cloud environments (e.g., Azure, AWS, or GCP), particularly using GPU-accelerated instances, is a plus. Strong written and verbal communication skills, with the ability to explain complex technical ideas clearly. Bachelor’s degree in computer science, Data Science, Engineering, or a related technical field. Preferred Qualifications: Understanding of enterprise IT systems, storage, and hybrid cloud architecture. Prior experience building AI/ML solution reference architectures or benchmarks. Published technical content (e.g., blogs, demos, white papers). Additional Skills: Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX) What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #hybridcloud Job: Engineering Job Level: TCP_02 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

What we do? At ClearTrail, work is more than just a job. Our calling is to develop solutions that empower those dedicated to keep their people, places and communities safe. For over 21 years, law enforcement & federal agencies across the globe have trusted ClearTrail as their committed partner in safeguarding nations & enriching lives. We are envisioning the future of intelligence gathering by developing artificial intelligence and machine learning based lawful interception & communication analytics solutions that solve the worlds most challenging are we looking for? We are looking for ML Engineer (2-4 years experience) with ML and LLM skill set in Indore, M. Roles And Responsibilities Develop end-to-end machine learning pipeline which includes model development, refining, and implementation for variety of analytics problems. Communicating results to diverse technical and non-technical audiences. Provides LLM expertise to solve problems using state-of-the-art language models and off-the-shelf LLM services, such as OpenAI models etc. Along with knowledge about Retrieval augmented generation and relevant techniques to improve performance & capabilities of LLMs. Research and Innovation : Stay up to date with the latest advancements in the fields of AI. Problem-solving and code debugging skills. Hands on practical experience with usage of large language and generative AI models both proprietary and opensource, including transformers and GPT models (preferred). Skills Mandatory hands on experience in the following : Libraries : Python, Scikit-Learn, PyTorch, LangChain, Transformers. Techniques : Exploratory Data Analysis, Machine Learning and Neural Networks. Machine learning model building, Hyperparameter tuning and Model performance metrics and Model Deployment. Practical knowledge of LLM and its fine to have experience : Deep Learning. MLOps. SQL. Qualifications Bachelors degree in computer science & engineering. 2-4 years of Proven experience as a Machine Learning Engineer or similar role with LLM skill set. Sound theoretical and practical knowledge of working with machine learning algorithms and hands-on with LLM applications. (ref:hirist.tech)

Role Summary Were looking for a data-science leader who can turn raw data into clear insight and innovative AI products. Youll own projects end-to-end - from framing business questions and exploring datasets to deploying and monitoring models in the cloud. Along the way youll introduce generative-AI ideas such as chat assistants and retrieval-augmented search, steer a small team of data professionals, and work closely with product, engineering, an business stakeholders to deliver measurable Responsibilities : Design and build predictive & forecasting models that drive measurable impact. Plan and run A/B experiments to validate ideas and guide product decisions. Develop and maintain data pipelines that ensure clean, trusted, and timely datasets. Lead generative-AI initiatives (e.g., LLM-powered chat, RAG search, custom embeddings). Package, deploy, and monitor models using modern MLOps practices in public cloud. Establish monitoring & alerting for accuracy, latency, drift, and cost. Mentor and coach the team, conducting code reviews and sharing best practices. Translate complex findings into clear, action-oriented stories for non-technical audiences. Ensure data governance and privacy across all projects, meeting internal and industry standards. Continuously evaluate new tools & methods, running quick PoCs to keep solutions Skills & Experience : Solid foundation in statistics, experiment design, and end-to-end ML workflows. Strong Python and SQL; proven record of moving models from notebook to production. Hands-on cloud experience (AWS, Azure, or GCP) with container-based deployment and CI/CD. Practical exposure to generative-AI projects - prompt engineering, fine-tuning, or retrieval-augmented pipelines. (ref:hirist.tech)

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that is bold, industrious and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it? We understand that you are looking for growth and variety in your career at this point and we would love for you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We hire the best and trust them from day 1 to deliver global impact, handle teams and be responsible for the outcomes while our leaders support and mentor you. We are a profitable rapidly growing global organization and are scouting for the best talent for this phase of growth. With us, you are at the intersection of two of the most exciting industries of healthcare and technology. We offer global opportunities with fast-track careers while you work with a team that is fueled by purpose. The combination of these will lead to a truly differentiated experience for you. If this excites you, then apply below. Role: Associate Manager - AI Engineer Description: We are seeking a Senior AI Engineer to lead the design, development, and deployment of advanced AI and Generative AI (GenAI) solutions that deliver significant business value. The ideal candidate will have extensive hands-on experience with AI/ML frameworks, cloud platforms, and MLOps, coupled with a deep understanding of GenAI technologies. Key Responsibilities Design, develop, and optimize AI/ML models for practical applications, ensuring high performance, scalability, and reliability. Innovate using advanced GenAI technologies (e.g., LLMs, RAG, OpenAI APIs) to address complex business challenges. Implement and manage end-to-end MLOps pipelines, including CI/CD, model monitoring, retraining workflows, and versioning. Architect and deploy scalable, cost-effective AI/ML solutions on cloud platforms (AWS, Azure). Develop and maintain robust APIs for seamless AI/ML integration into enterprise systems. Collaborate with cross-functional stakeholders to align AI solutions with business objectives. Mentor and guide junior engineers, fostering innovation and adherence to best practices in AI/ML development and deployment. Develop and train Generative AI models. Perform data analysis and prepare data for AI model training. Integrate AI models with Snowflake, AWS, and other systems. Must Have 5 years of experience in AI/ML development and deployment, including leadership roles. Good knowledge in machine learning and Generative AI, especially content generation using AWS Bedrock and OpenAI based models. Proficiency in working with GenAI tools and technologies such as LLMs, Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, Streamlit, and vector databases. Strong experience in building scalable (Gen) AI applications on AWS. Strong background and understanding of vector databases. Experience in building (Gen) AI solutions on Snowflake is a plus. Good knowledge in Python for data science, as well as Streamlit for rapid deployment of prototypes. Good knowledge in Git. Experience to work in an agile and international environment. Experience in the setup and usage of CI/CD pipelines as well as writing software in a test-driven fashion. Good documentation and coaching practice. EQUAL OPPORTUNITY Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidates merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics. Locations - Bangalore, KA, IN

Job Code: BTL-2507106 Job Title: AI/ML Intern Location: Hyderabad Mode: Work from the office Company Overview BeamX TechLabs Pvt Ltd. is a leading technology company specializing in software development and IT solutions. With a focus on innovation and cutting-edge technologies, we strive to provide exceptional solutions to our clients across various industries. Join our dynamic team and contribute to the development of groundbreaking software applications. Position Summary We are seeking a highly motivated and talented AI/ML Intern to join our growing team in Hyderabad. As an intern, you will gain hands-on experience in developing and implementing AI-powered solutions, working alongside experienced engineers and researchers. This is an excellent opportunity to learn and contribute to real-world projects while expanding your knowledge of the latest AI/ML technologies. Key Responsibilities Assist in the development and fine-tuning of Large Language Models (LLMs) using frameworks like LangChain, OpenAI Agents SDK, or similar. Contribute to the implementation of Retrieval Augmented Generation (RAG) architectures for building intelligent applications. Experiment with and evaluate various vector databases such as FAISS, Opensearch, etc., for efficient LLM data management. Develop and test LLM-based prototypes and demonstrate your solutions through code samples and documentation. Collaborate with team members to brainstorm innovative AI solutions and contribute to project discussions. Stay up-to-date with the latest advancements in AI/ML research and best practices. Required Skills and Qualifications Strong knowledge or foundational experience in Python programming Basic hands-on experience with LLMs: Ability to build, fine-tune, or implement LLMs in simple projects or prototypes. Familiarity with agentic AI frameworks: Awareness of frameworks such as LangChain, OpenAI Agents SDK, or similar tools. Understanding of RAG architectures: Basic knowledge of RAG concepts with some experience in simple implementations. Experience with vector databases: Basic familiarity with vector databases like FAISS, Opensearch, or similar, and understanding of their use in AI/ML applications. Preferred Qualifications . Portfolio of LLM-based projects: A GitHub repository or other coding samples showcasing your LLM development experience. Familiarity with cloud computing platforms like AWS, Azure, or GCP. Experience with machine learning algorithms and techniques. Education Requirements Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field Compensation and Benefits Competitive stipend based on experience and performance. Opportunity to learn from experienced AI/ML professionals. Exposure to cutting-edge technologies and real-world projects. Opportunities for Conversion to Full-Time Positions based on performance.

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company and a leader in the convenience store and fuel space with over 16,700 stores. It has footprints across 31 countries and territories. Circle K India Data & Analytics team is an integral part of ACT’s Global Data & Analytics Team, and the Associate ML Ops Analyst will be a key player on this team that will help grow analytics globally at ACT. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. About The Role The incumbent will be responsible for implementing Azure data services to deliver scalable and sustainable solutions, build model deployment and monitor pipelines to meet business needs. Roles & Responsibilities Development and Integration Collaborate with data scientists to deploy ML models into production environments Implement and maintain CI/CD pipelines for machine learning workflows Use version control tools (e.g., Git) and ML lifecycle management tools (e.g., MLflow) for model tracking, versioning, and management. Design, build as well as optimize applications containerization and orchestration with Docker and Kubernetes and cloud platforms like AWS or Azure Automation & Monitoring Automating pipelines using understanding of Apache Spark and ETL tools like Informatica PowerCenter, Informatica BDM or DEI, Stream Sets and Apache Airflow Implement model monitoring and alerting systems to track model performance, accuracy, and data drift in production environments. Collaboration and Communication Work closely with data scientists to ensure that models are production-ready Collaborate with Data Engineering and Tech teams to ensure infrastructure is optimized for scaling ML applications. Optimization and Scaling Optimize ML pipelines for performance and cost-effectiveness Operational Excellence Help the Data teams leverage best practices to implement Enterprise level solutions. Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project Helping to define common coding standards and model monitoring performance best practices Continuously evaluate the latest packages and frameworks in the ML ecosystem Build automated model deployment data engineering pipelines from plain Python/PySpark mode Stakeholder Engagement Collaborate with Data Scientists, Data Engineers, cloud platform and application engineers to create and implement cloud policies and governance for ML model life cycle. Job Requirements Education & Relevant Experience Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) 1-2 years of relevant working experience in MLOps Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Knowledge of core computer science concepts such as common data structures and algorithms, OOPs Programming languages (R, Python, PySpark, etc.) Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools Exposure to ETL tools and version controlling Experience in building and maintaining CI/CD pipelines for ML models. Understanding of machine-learning, information retrieval or recommendation systems Familiarity with DevOps tools (Docker, Kubernetes, Jenkins, GitLab).

Job Description This is a unique opportunity to apply your skills and contribute to impactful global business initiatives. As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial & Investment Bank's Global Banking team, you’ll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery. Work with product and business teams to define goals and roadmaps. Maintain alignment with cross-functional stakeholders. Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Mentor Junior Machine Learning associates in delivering successful projects and building successful career in the firm. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution, and ensure accountability. Required Qualifications, Capabilities, And Skills 14+ years (BS) or 8+ (MS) or 5+ (PhD) years of relevant in Computer Science, Data Science, Information Systems, Statistics, Mathematics or equivalent experience. Track record of managing AI/ML or software development teams. Experience as a hands-on practitioner developing production AI/ML solutions. Deep knowledge and experience in machine learning and artificial intelligence. Ability to set teams up for success in speed and quality, and design effective metrics and hypotheses. Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Familiarity in AWS Cloud services such as EMR, Sagemaker etc., Strong people management and team-building skills. Ability to coach and grow talent, foster a healthy engineering culture, and attract/retain talent. Ability to build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members. Effective communication, solid negotiation skills, and strong leadership. About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

AI/ML Lead Experience : 8+ Yrs Relevant Exp : 5+ Years Location : Remote Duration : 6 months & extendable Work Timings: 10 am to 7 pm IST Industry/Domain: Medical Budget : up to 1.1L per month Job Overview: AI/ML Lead We are seeking a dynamic and technically strong AI Lead with 6–8 years of industry experience, including a minimum of 5 years in AI/ML and Conversational AI technologies, with a specific focus on Microsoft’s AI ecosystem. The ideal candidate will lead the design, development, and delivery of intelligent solutions using Azure OpenAI, Copilot Studio, Microsoft Bot Framework, and AI Foundry. The individual will act as a hands-on technical lead, collaborating closely with product teams, architects, and business stakeholders to build impactful AI-powered copilots, chatbots, and enterprise automation solutions. Mandatory Skills Required: • 5+ years in AI/ML or Conversational AI • Azure ML / Cognitive Services / AI Foundry • Experience with LLMs, NLP (GPT, BERT) • Integration with Microsoft Graph, REST APIs • Prompt engineering, fine-tuning • RAG architecture, embeddings, vector DBs • Azure OpenAI Services & APIs • M365 Copilot APIs / Plugin development • Microsoft Copilot Studio • Python/Node.js coding & orchestration • Microsoft Bot Framework (SDK, Composer) • Good to have CI/CD, Azure DevOps, containerization (Docker/K8s) Must Have Skills: • 6–8 years of overall experience, including 5+ years in AI/ML or Conversational AI • Deep hands-on knowledge of: • Azure OpenAI services and APIs • Copilot Studio for building Microsoft 365-integrated assistants • Microsoft Bot Framework SDK/Composer for chatbot development • Prompt engineering for LLM optimization • Strong Python or Node.js development skills (for AI orchestration and integration) • Experience with enterprise system integration using APIs (Microsoft Graph, REST, JSON, OAuth) • Familiarity with Azure ML, Azure Cognitive Services, and Azure DevOps • Ability to design RAG-based architectures, manage embeddings, and leverage vector databases (e.g., Azure AI Search) • Strong understanding of natural language processing (NLP) and foundational models (GPT, BERT) • Excellent communication, leadership, and stakeholder engagement capabilities Good-to-Have Skills: • Experience with Semantic Kernel or LangChain. • Working knowledge of AI Foundry for orchestrating AI pipelines. • Familiarity with Copilot extensibility and Teams App Studio. • Exposure to M365 Copilot APIs and custom plugin creation. • Knowledge of Responsible AI, data security, and compliance principles. • Familiarity with containerized deployment (Docker, Kubernetes). • Experience in building dashboards and analytics (Kibana, Grafana) to visualize bot usage and performance. • Basic understanding of Power Platform (Power Automate, Power Apps) and its integration with AI. Key Responsibilities : • Lead end-to-end technical implementation of AI-driven projects using Microsoft AI tools: Azure OpenAI, Copilot Studio, and Bot Framework. • Design and develop intelligent copilots, multi-turn chatbots, and custom GPT solutions integrated within enterprise tools such as Microsoft Teams, SharePoint, and Dynamics 365. • Translate business requirements into technical architecture and AI flows using OpenAI APIs, prompt engineering, and integration with enterprise systems. • Leverage AI Foundry to manage the AI lifecycle including model selection, deployment, monitoring, and optimization. • Architect AI/ML solutions that use Retrieval-Augmented Generation (RAG), semantic search, and contextual memory frameworks (LangChain, Semantic Kernel, etc.). • Collaborate with product owners and business analysts to identify high-value use cases and define solution roadmaps. • Develop and execute POCs and MVPs with hands-on coding, configuration, and orchestration of LLMs and chatbot pipelines. • Integrate with enterprise data sources via APIs, GraphQL, and Microsoft Graph to create holistic user experiences. • Mentor junior developers and work with DevOps teams to ensure stable deployment, CI/CD, and performance monitoring. • Create documentation and reusable components/templates for repeated use across the organization. • Stay current on Microsoft’s AI advancements and recommend tools, features, or practices that improve time-to-value and performance. • Design, build and maintain automated unit and integration tests • Support healthy system operations and ensure high levels of availability are achieved. Be part of the on-call rotation during business hours NOTE Copilot, Azure, Microsoft bot framework experience must, and other Mandatory Skills are mentioned in the JD. Make sure every skill mentioned in the resume as well (Overall Summary, Technical Skillsets Table, Projects)

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description – Business Intelligence Developer (OAC, PowerBI, ETL, Data Modelling) Competency: Oracle ERP Analytics We are seeking an experienced Business Intelligence Developer with 7+ years of experience having expertise in Oracle Analytics Cloud (OAC), PowerBI, ETL tools, and Data Modelling to join our dynamic team. The successful candidate will be responsible for developing and maintaining scalable data models, creating insightful analytics dashboards, and managing ETL workflows to support data-driven decision-making across the organization. They will work closely with customers, data architects, software developers, and business analysts for suitable product development. The candidate will be highly skilled individual and will be accountable for their career development and growth in EY. Responsibilities: Collaborate with stakeholders to understand data requirements and translate business needs into data models. Design and implement effective data models to support business intelligence activities. Develop and maintain ETL processes to ensure data accuracy and availability. Create interactive dashboards and reports using Oracle Analytics Cloud (OAC) and PowerBI. Work with stakeholders to gather requirements and translate business needs into technical specifications. Optimize data retrieval and develop dashboard visualizations for performance efficiency. Ensure data integrity and compliance with data governance and security policies. Collaborate with IT and data teams to integrate BI solutions into the existing data infrastructure. Conduct data analysis to identify trends, patterns, and insights that can inform business strategies. Provide training and support to end-users on BI tools and dashboards. Document all processes, models, and activities to maintain transparency and facilitate knowledge sharing. Stay up to date with the latest BI technologies and best practices to drive continuous improvement. Qualifications: Bachelor’s degree in computer science, Information Systems, Business Analytics, or a related field. Proven experience with Oracle Analytics Cloud (OAC), PowerBI, and other BI tools. Strong experience in ETL (SSIS, Informatica, Dell Boomi etc) processes and data warehousing solutions. Proficiency in data modelling techniques and best practices. Solid understanding of SQL and experience with relational databases. Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud). Excellent analytical, problem-solving, and project management skills. Ability to communicate complex data concepts to non-technical stakeholders. Detail-oriented with a strong focus on accuracy and quality. Well-developed business acumen, analytical and strong problem-solving attitude with the ability to visualize scenarios, possible outcomes & operating constraints. Strong consulting skills with proven experience in client and stakeholder management and collaboration abilities. Good communication skills both written and oral, ability to make impactful presentations & expertise at using excel & PPTs. Detail-oriented with a commitment to quality and accuracy. Good to have knowledge on data security and controls to address customer’s data privacy needs inline to regional regulations such as GDPR, CCPA et EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description – Business Intelligence Developer (OAC, PowerBI, ETL, Data Modelling) Competency: Oracle ERP Analytics We are seeking an experienced Business Intelligence Developer with 7+ years of experience having expertise in Oracle Analytics Cloud (OAC), PowerBI, ETL tools, and Data Modelling to join our dynamic team. The successful candidate will be responsible for developing and maintaining scalable data models, creating insightful analytics dashboards, and managing ETL workflows to support data-driven decision-making across the organization. They will work closely with customers, data architects, software developers, and business analysts for suitable product development. The candidate will be highly skilled individual and will be accountable for their career development and growth in EY. Responsibilities: Collaborate with stakeholders to understand data requirements and translate business needs into data models. Design and implement effective data models to support business intelligence activities. Develop and maintain ETL processes to ensure data accuracy and availability. Create interactive dashboards and reports using Oracle Analytics Cloud (OAC) and PowerBI. Work with stakeholders to gather requirements and translate business needs into technical specifications. Optimize data retrieval and develop dashboard visualizations for performance efficiency. Ensure data integrity and compliance with data governance and security policies. Collaborate with IT and data teams to integrate BI solutions into the existing data infrastructure. Conduct data analysis to identify trends, patterns, and insights that can inform business strategies. Provide training and support to end-users on BI tools and dashboards. Document all processes, models, and activities to maintain transparency and facilitate knowledge sharing. Stay up to date with the latest BI technologies and best practices to drive continuous improvement. Qualifications: Bachelor’s degree in computer science, Information Systems, Business Analytics, or a related field. Proven experience with Oracle Analytics Cloud (OAC), PowerBI, and other BI tools. Strong experience in ETL (SSIS, Informatica, Dell Boomi etc) processes and data warehousing solutions. Proficiency in data modelling techniques and best practices. Solid understanding of SQL and experience with relational databases. Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud). Excellent analytical, problem-solving, and project management skills. Ability to communicate complex data concepts to non-technical stakeholders. Detail-oriented with a strong focus on accuracy and quality. Well-developed business acumen, analytical and strong problem-solving attitude with the ability to visualize scenarios, possible outcomes & operating constraints. Strong consulting skills with proven experience in client and stakeholder management and collaboration abilities. Good communication skills both written and oral, ability to make impactful presentations & expertise at using excel & PPTs. Detail-oriented with a commitment to quality and accuracy. Good to have knowledge on data security and controls to address customer’s data privacy needs inline to regional regulations such as GDPR, CCPA et EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.