4114 Retrieval Jobs - Page 20

Data Scientist Experience range: 3+ years Location: CloudLex Pune Office (In-person, Monday to Friday, 9:30 AM – 6:30 PM) Responsibilities Design and implement AI agent workflows. Develop end-to-end intelligent pipelines and multi-agent systems (e.g., LangGraph/LangChain workflows) that coordinate multiple LLM-powered agents to solve complex tasks. Create graph-based or state-machine architectures for AI agents, chaining prompts and tools as needed. Build and fine-tune generative models. Develop, train, and fine-tune advanced generative models (transformers, diffusion models, VAEs, GANs, etc.) on domain-specific data. Deploy and optimize foundation models (such as GPT, LLaMA, Mistral) in production, adapting them to our use cases through prompt engineering and supervised fine-tuning. Develop data pipelines. Build robust data collection, preprocessing, and synthetic data generation pipelines to feed training and inference workflows. Implement data cleansing, annotation, and augmentation processes to ensure high-quality inputs for model training and evaluation. Implement LLM-based agents and automation. Integrate generative AI agents (e.g., chatbots, AI copilots, content generators) into business processes to automate data processing and decision-making tasks. Use Retrieval-Augmented Generation (RAG) pipelines and external knowledge sources to enhance agent capabilities. Leverage multimodal inputs when applicable. Optimize performance and safety. Continuously evaluate and improve model/system performance. Use GenAI-specific benchmarks and metrics (e.g., BLEU, ROUGE, TruthfulQA) to assess results, and iterate to optimize accuracy, latency, and resource efficiency. Implement safeguards and monitoring to mitigate issues like bias, hallucination, or inappropriate outputs. Collaborate and document. Work closely with product managers, engineers, and other stakeholders to gather requirements and integrate AI solutions into production systems. Document data workflows, model architectures, and experimentation results. Maintain code and tooling (prompt libraries, model registries) to ensure reproducibility and knowledge sharing. Required Skills & Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field analyticsvidhya.com (or equivalent practical experience). A strong foundation in algorithms, statistics, and software engineering is expected. Programming proficiency: Expert-level skills in Python coursera.org , with hands-on experience in machine learning and deep learning frameworks (PyTorch, TensorFlow) analyticsvidhya.com . Comfortable writing production-quality code and using version control, testing, and code review workflows. Generative model expertise: Demonstrated ability to build, fine-tune, and deploy large-scale generative models analyticsvidhya.com . Familiarity with transformer architectures and generative techniques (LLMs, diffusion models, GANs) analyticsvidhya.comanalyticsvidhya.com . Experience working with model repositories and fine-tuning frameworks (Hugging Face, etc.). LLM and agent frameworks: Strong understanding of LLM-based systems and agent-oriented AI patterns. Experience with frameworks like LangGraph/LangChain or similar multi-agent platforms gyliu513.medium.com . Knowledge of agent communication standards (e.g., MCP/Agent Protocol) gyliu513.medium.comblog.langchain.dev to enable interoperability between AI agents. AI integration and MLOps: Experience integrating AI components with existing systems via APIs and services. Proficiency in retrieval-augmented generation (RAG) setups, vector databases, and prompt engineering analyticsvidhya.com . Familiarity with machine learning deployment and MLOps tools (Docker, Kubernetes, MLflow, KServe, etc.) for managing end-to-end automation and scalable workflows analyticsvidhya.com . Familiarity with GenAI tools: Hands-on experience with state-of-the-art GenAI models and APIs (OpenAI GPT, Anthropic, Claude, etc.) and with popular libraries (Hugging Face Transformers, LangChain, etc.). Awareness of the current GenAI tooling ecosystem and best practices. Soft skills: Excellent problem-solving and analytical abilities. Strong communication and teamwork skills to collaborate across data, engineering, and business teams. Attention to detail and a quality-oriented mindset. (See Ideal Candidate below for more on personal attributes.) Ideal Candidate Innovative, problem-solver: You are a creative thinker who enjoys tackling open-ended challenges. You have a solutions-oriented mindset and proactively experiment with new ideas and techniques analyticsvidhya.com . Systems thinker: You understand how different components (data, models, services) fit together in a large system. You can architect end-to-end AI solutions with attention to reliability, scalability, and integration points. Collaborative communicator: You work effectively in multidisciplinary teams. You are able to explain complex technical concepts to non-technical stakeholders and incorporate feedback. You value knowledge sharing and mentorship. Adaptable learner: The generative AI landscape evolves rapidly. You are passionate about staying current with the latest research and tools. You embrace continuous learning and are eager to upskill and try new libraries or platforms analyticsvidhya.com . Ethical and conscientious: You care about the real-world impact of AI systems. You take responsibility for the quality and fairness of models, and proactively address concerns like data privacy, bias, and security.

Position Summary This position is for Machine Shipment activity, which includes Machine closing in E1, FOC kitting & Machine Packing Procedures, and needs to generate shortage reports and maintain inventory level. Work You’ll Do Prepare the Part list related to the Release/run-off machines Physical Retrieval of FOC Spares Raising the shortage of parts for ready-for-shipment machines. Making sure the type of truck is suitable for the Machine Model [As per predefined norms] Inventory preparation related to Shipment Cell Parts preservation to be carried out in Shipment Cell Locations Physical Movements of Spare Parts from General Location Give an Alarm for Shortage of Parts Give an Alarm for Auxiliary requirement Parts Check specification as per OSS, machine packing, & Shipment Team This role will be a part of the Shipment team Basic Qualifications B.Com with 3-5 Years of shipment-related experience. Preferred Qualifications Knowledge of computers will be preferred. Who We Are Milacron is a global leader in the manufacture, distribution and service of highly engineered and customized systems within the $27 billion plastic technology and processing industry. We are the only global company with a full-line product portfolio that includes hot runner systems, injection molding, extrusion equipment. We maintain strong market positions across these products, as well as leading positions in process control systems, mold bases and components, maintenance, repair and operating (“MRO”) supplies for plastic processing equipment. Our strategy is to deliver highly customized equipment, components and service to our customers throughout the lifecycle of their plastic processing technology systems. EEO: The policy of Milacron is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. We are committed to being an Equal Employment Opportunity (EEO) Employer and offer opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at recruitingaccommodations@milacron.com. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The challenge Search, Discovery, and Content AI (SDC) is a cornerstone of Adobe’s ecosystem, enabling creative professionals and everyday users to access, discover, and demonstrate a wide array of digital assets and creative content, including images, videos, documents, vector graphics and more. With increasing demand for intuitive search, contextual discovery, and seamless content interactions across Adobe products like Express, Lightroom, Adobe Stock, SDC is evolving into a generative AI powerhouse. This team develops innovative solutions for intent understanding, personalized recommendations, and action orchestration to transform how users interact with content. Working with extensive datasets and pioneering technologies, you will help redefine the discovery experience and drive user success. The Opportunity How can you participate? We’re looking for a top-notch search engineering leadership in the area of information retrieval, search indexing, Elasticsearch, Lucene, algorithms, relevance & ranking, data mining, machine learning, data analysis & metrics, query processing, multi-lingual search, and search UX. This is an opportunity to make a huge impact in a fast-paced, startup-like environment in a great company. Join us! Responsibilities Work on Big data, data ingestion, search indexing, Hadoop, distributed systems, deep learning, recommendations, and performance by developing a Search platform at Adobe that would power Adobe product lines such as Express, Creative Cloud, Acrobat, Marketing Cloud, Stock. Apply machine learning to improve the ranking and recommendations as part of search work-flow. Build platform to index billions of images, documents and other assets in real-time. Maintain and optimize search engine, identify new ideas to evolve it, develop new features and benchmark possible solutions, in terms of search relevance, recommendations but also user experience, performance and feasibility. Build these products using technologies such as Elastic Search, REST web services, SQS/Kafka, Machine Learning, and more. What You Need To Succeed B. Tech or M. Tech in Computer Science Minimum 5-10 years of relevant experience in industry Experience in engineering SaaS based software development Hands on experience with Java and Python. Hands-on experience in Big data processing, Hadoop and Spark. Experience in Web services and REST. Experience in RDBMS & NOSQL database. Experience in AWS resources. Experience with Elastic Search/Solr. Experience with search engine technology, and inverted indexes Hands-on experience in building indexing pipelines Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more about our vision here. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Matillion is The Data Productivity Cloud. We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our technology allows customers to load, transform, sync and orchestrate their data. We are looking for passionate, high-integrity individuals to help us scale up our growing business. Together, we can make a dent in the universe bigger than ourselves. With offices in the UK, US and Spain, we are now thrilled to announce the opening of our new office in Hyderabad, India. This marks an exciting milestone in our global expansion, and we are now looking for talented professionals to join us as part of our founding team. About the Role At Matillion, our engineering culture is shaped around small, cross-functional development teams empowered to own specific product themes and initiatives. Each team brings together engineers of all levels, working collaboratively to build, test, and ship impactful features that help our customers solve real-world data challenges. As a Staff Software Engineer , you will play a key role in driving the technical vision and hands-on development of our platform. You’ll bring deep engineering expertise and a passion for solving complex problems to help us build scalable, performant, and secure software — all while staying at the forefront of cutting-edge technologies, including Generative AI. What You’ll Be Doing Lead by example : Contribute hands-on to software development, championing high-quality code and robust architecture Drive technical direction : Shape the design and evolution of systems, ensuring performance, security, and scalability Collaborate cross-functionally : Work with engineers, product managers, and customer-facing teams to break down large initiatives into actionable plans Mentor and support : Provide guidance to team members through code reviews, knowledge sharing, and pairing Innovate with AI : Develop intelligent features powered by LLMs (Large Language Models), integrating modern GenAI capabilities into our platform Continuously improve : Proactively explore new technologies, contribute to internal best practices, and help evolve our engineering culture What We’re Looking For Strong hands-on experience with Java and React , grounded in solid object-oriented principles and software engineering best practices Proficiency in building Java Spring microservices , containerisation with Docker , and experience with relational databases like Postgres, MySQL, or SQL Server Proven track record across the full SDLC , including CI/CD and Agile methodologies Deep familiarity with cloud platforms , especially AWS Ability to adapt to new technologies and solve both product and platform-level challenges in a collaborative team environment GenAI Expertise (Essential) Hands-on experience integrating with LLM APIs such as OpenAI, Anthropic, or Hugging Face Understanding of prompt engineering — crafting and tuning prompts to optimize LLM responses Experience with RAG (Retrieval Augmented Generation) to enrich LLM responses with contextual data Familiarity with key LLM concepts: System/User prompts, tokens, embeddings, context windows, temperature, top-p, stop sequences GenAI Experience (Nice to Have) Experience with fine-tuning models and prompt compression techniques Exposure to GenAI architectures like prompt chaining , agentic workflows , or routing mechanisms Familiarity with Spring AI or similar libraries that abstract LLM interactions Experience designing and using evals to compare LLM performance and optimize prompts Matillion has fostered a culture that is collaborative, fast-paced, ambitious, and transparent, and an environment where people genuinely care about their colleagues and communities. Our 6 core values guide how we work together and with our customers and partners. We operate a truly flexible and hybrid working culture that promotes work-life balance, and are proud to be able to offer the following benefits: - Company Equity - 27 days paid time off - 12 days of Company Holiday - 5 days paid volunteering leave - Group Mediclaim (GMC) - Enhanced parental leave policies - MacBook Pro - Access to various tools to aid your career development More about Matillion Thousands of enterprises including Cisco, DocuSign, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world. We are passionate about doing things in a smart, considerate way. We’re honoured to be named a great place to work for several years running by multiple industry research firms. We are dual headquartered in Manchester, UK and Denver, Colorado. We are keen to hear from prospective Matillioners, so even if you don’t feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you are interested in Matillion but don't see a suitable role, please email talent@matillion.com. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

Description Amazon’s Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. Our systems process billions of products to algorithmically find products not already sold on Amazon and programmatically add them to the Amazon catalog. We apply parallel processing, machine learning and deep learning algorithms to evaluate products and brands in order to identify and prioritize products and brands to be added to Amazon’s catalog. The datasets produced by our team are used by teams across Amazon to improve: product information, search and discoverability, pricing, and delivery experience. Our work involves building state-of-the-art Information Retrieval (IR) systems to mine the web and automatically create structured entities from un-structure/semi-structured data. We constantly stretch the boundaries of large scale distributed systems, Elastic Computing, Big Data, and SOA technologies to tackle challenges at Amazon’s global scale. Come join us in our journey to make everything – and yes, we do mean *everything* – that anyone wants to buy, available on Amazon! We are looking for SDEs with strong technical knowledge, established background in engineering large scale software systems, and passion for solving challenging problems. The role demands a high-performing and flexible candidate who can take responsibility for success of the system and drive solutions from design to coding, testing, and deployment, to achieve results in a fast paced environment. Key job responsibilities Work with Sr.SDEs and Principal Engineers to drive the technical and architectural vision of SM systems responsible for generation of structured domain entities from structured/semi-structured data. Develop systems and extensible frameworks for complete lifecycle management of domain entities and inter-entity relationships Build scalable platform capabilities for data processing, meta data generation and guardrails . Solve complex problems in automated identity generation, web-to-Amazon namespace translation, and classification of products. Design and develop solutions for efficient storage and vending/search of products and related information. Utilize serverless and big data technologies to develop efficient algorithms that operate of large datasets. Lead and mentor junior engineers, and drive best practices around design, coding, testability, and security. Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Bachelor's Degree in Computer Science, advanced degrees preferred. Experience building complex software systems that have been successfully delivered to customer. Deep technical expertise and hands-on architectural understanding of distributed and service-oriented architectures. Has delivered large-scale enterprise software systems or large scale online services. Solid programming skills in OO languages (Java/Scala/C++/Python etc) and a deep understanding of object oriented design. Advanced knowledge of data structures and at ease in optimizing algorithms. Preferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Master's degree in computer science or equivalent A deep understanding of software development life cycle and a good track record of shipping software on time Experience in data mining, machine learning algorithms, rules engines, and workflow systems. Deep understanding of SOA with proven ability in building highly scalable and fault tolerant systems using Cloud computing technologies. Deep understanding of Map Reduce paradigm with experience in building solutions using Big Data technologies like Spark, Hive etc . Experience in developing efficient algorithms that operate on large datasets. Exposure to AWS technologies is a big plus. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A3016511

T Role: Senior Full Stack Developer Skills Preferred: React/ Python Django Location: Kanpur, Goa Experience: 3+ Years No of Positions: 1 Job Type: Full-time Start Date: ASAP Position Overview: We are seeking a Senior Full Stack Developer to take a central role in shaping, refining, and elevating our web applications. Leveraging your expertise in React, Angular, and Node.js, you will contribute significantly to crafting top-tier, user-focused solutions that align seamlessly with our technical and business objectives. You’ll collaborate with cross-functional teams, lead discussions on technical matters, and champion the implementation of development best practices. Responsibilities: Full Stack Development: Lead the end-to-end development lifecycle of web applications, ensuring seamless integration between front-end and back-end components. Develop efficient and maintainable code for both client and server sides. Technical Leadership: Provide guidance to the team and participate in architectural discussions, conduct code reviews, and contribute to technical decision-making. Front-End Expertise: Utilize your proficiency in React or Angular to design and implement responsive user interfaces. Collaborate closely with UI/UX designers to create engaging and intuitive user experiences. Back-End Development: Develop RESTful APIs using Node.js and related technologies, ensuring optimal data retrieval and manipulation while maintaining data integrity. Database Management: Design and optimize databases, write complex queries, and implement data models that align with application requirements. Performance and Security: Identify performance bottlenecks and security vulnerabilities within applications. Implement necessary optimizations and security measures for optimal performance and data protection. Collaboration: Work closely with product managers, UI/UX designers, and other stakeholders to gather requirements, offer technical insights, and ensure successful project completion. Problem Solving: Address intricate technical challenges with innovative solutions. Debug and troubleshoot issues as they arise, facilitating prompt resolutions. Requirements and skills: A Bachelor’s degree in Computer Science, Engineering, or a related field. Possession of a Master’s degree is advantageous. A minimum of 5 years of professional experience as a Full Stack Developer, with a strong command of React and Node.js being essential, and familiarity with Angular being beneficial. Proficiency in frontend technologies such as React. Robust expertise in either React or Angular and associated tools/libraries, enabling the creation of engaging interactive user interfaces. Thorough understanding of Python Django and server-side JavaScript development. Familiarity with frameworks like Express.js offers an additional advantage. Demonstrated aptitude in designing and utilizing RESTful APIs, including a solid grasp of API design principles. Familiarity with diverse database systems (e.g., MySQL, PostgreSQL, MongoDB) and hands-on experience in database design and optimization. Proficiency in version control systems (Git) and familiarity with agile development methodologies. Outstanding problem-solving abilities, equipped to diagnose and resolve intricate issues within distributed systems. Effective written and verbal communication skills, fostering productive collaboration across teams. Previous involvement in mentoring or leading junior developers will be a valuable asset. A portfolio showcasing prior projects or work samples is highly desirable. We offer a competitive salary, performance-based incentives, and a supportive work environment that encourages professional growth and development. If you are a motivated and results-oriented individual with a passion for IT, we want to hear from you! If this all sounds exciting, please apply using “ Apply Now ” or send your application to jobs@barytech.com asap. Thanks for your interest. We look forward to getting to know you.

We are seeking an experienced Full Stack Developer with hands-on expertise in low/no-code platforms such as n8n , Make.com , and Lovable . The immediate focus will be to begin developing AI agents and the mental-wellness app using these tools. You will own the end-to-end DevOps , security practices, and rapid MVP development for an AI-driven platform, leveraging both no-code solutions and custom code to rapidly ship production-ready features while laying the groundwork for future AI integrations. Key Responsibilities: Cloud Infrastructure Management: Design, deploy, and manage secure cloud infrastructure using AWS or GCP . Implement CI/CD pipelines, monitoring, and backups to ensure smooth, efficient deployments. MVP Development: Build and iterate the Minimum Viable Product (MVP) using n8n , Make.com , and similar low/no-code tools, ensuring rapid feature deployment. Automation & Workflows: Leverage n8n , Make.com , and other low-code platforms to design and automate workflows that support the AI-driven platform’s features. Security Best Practices: Implement and enforce security practices across cloud infrastructure, including IAM , secrets management , network security , and compliance protocols. Custom Code Development: Use Python for creating custom connectors and functions to extend the capabilities of low-code platforms as needed. Collaboration & Communication: Work closely with cross-functional teams to ensure alignment and achieve development goals. Communicate effectively in English (written and verbal) for team collaboration and documentation. Must-Have Skills & Experience: 4+ years of experience in full-stack development with a focus on building scalable and secure platforms. DevOps/SRE Expertise: Strong background in Docker , Linux , Terraform or Pulumi , and networking (including VPC and networking ). Hands-on Experience with Low/No-Code Platforms: Experience using n8n , Make.com , Lovable , or similar automation tools to build and deploy features. Proficiency in Python: Experience with Python for building custom connectors/functions and extending automation workflows. Excellent Communication Skills: Strong written and verbal English skills for effective communication within cross-functional teams. Good-to-Have Skills & Experience: Exposure to vector databases , RAG (Retrieval-Augmented Generation), or fine-tuning Large Language Models (LLMs) . Microservices or Serverless Architecture : Experience migrating prototypes to microservices or serverless environments.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) –Senior - Palantir Job Overview Big Data Developer/Senior Data Engineer with 3 to 6+ years of experience who would display strong analytical, problem-solving, programming, Business KPIs understanding and communication skills. They should be self-learner, detail-oriented team members who can consistently meet deadlines and possess the ability to work independently as needed. He/she must be able to multi-task and demonstrate the ability to work with a diverse work group of stakeholders for healthcare/Life Science/Pharmaceutical domains. Responsibilities And Duties Technical - Design, develop, and maintain data models, integrations, and workflows within Palantir Foundry. Detailed understanding and Hands-on knowledge of Palantir Solutions (e.g., Usecare, DTI, Code Repository, Pipeline Builder etc.) Analysing data within Palantir to extract insights for easy interpretation and Exploratory Data Analysis (e.g., Contour). Querying and Programming Skills: Utilizing programming languages query or scripts (e.g., Python, SQL) to interact with the data and perform analyses. Understanding relational data structures and data modelling to optimize data storage and retrieval based on OLAP engine principles. Distributed Frameworks with Automation using Spark APIs (e.g., PySpark, Spark SQL, RDD/DF) to automate processes and workflows within Palantir with external libraries (e.g., Pandas, NumPy etc.). API Integration: Integrating Palantir with other systems and applications using APIs for seamless data flow. Understanding of integration analysis, specification, and solution design based on different scenarios (e.g., Batch/Realtime Flow, Incremental Load etc.). Optimize data pipelines and finetune Foundry configurations to enhance system performance and efficiency. Unit Testing, Issues Identification, Debugging & Trouble shooting, End user documentation. Strong experience on Data Warehousing, Data Engineering, and Data Modelling problem statements. Knowledge of security related principles by ensuring data privacy and security while working with sensitive information. Familiarity with integrating machine learning and AI capabilities within the Palantir environment for advanced analytics. Non-Technical Collaborate with stakeholders to identify opportunities for continuous improvement, understanding business need and innovation in data processes and solutions. Ensure compliance with policies for data privacy, security, and regulatory requirements. Provide training and support to end-users to maximize the effective use of Palantir Foundry. Self-driven learning of technologies being adopted by the organizational requirements. Work as part of a team or individuals as engineer in a highly collaborative fashion 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.

Lead, Python Software Developer Hyderabad, India Information Technology 317163 Job Description About The Role: Grade Level (for internal use): 11 The Team Our team is on an exciting journey to build Kensho Spark Assist, S&P Global’s internal conversational AI platform, designed to support colleagues across all departments. We work collaboratively with internal and external partners, using data-driven decisions and continuous improvement to create value. Forward-thinking in nature, we leverage modern generative AI models and cloud services. Our focus is on the creation of scalable systems over customized solutions, all while prioritizing the needs of our stakeholders. What You Stand to Gain: Build a rewarding career with a leading global company in an international team. Develop relevant solutions that enhance efficiency and drive innovation across S&P Global's diverse departments. Enhance your skills by engaging with enterprise-level products and cutting-edge genAI technologies. Work alongside experts in AI and technology, gaining insights and experience that will propel your career forward. Responsibilities: Develop clean, high-quality Python code that is easy to read and maintain. Solve complex problems by analyzing and isolating issues efficiently. Champion best practices in coding and serve as a subject matter expert. Design and implement solutions to support key business needs. Engineer components and API functions using Python. Produce system design documents and lead technical walkthroughs. Collaborate effectively with both technical and non-technical partners to achieve project goals. Continuously improve the architecture to enhance system performance and scalability. Provide technical guidance and mentorship to team members, fostering a culture of continuous improvement. Basic Qualifications: 8+ years of experience in designing and building solutions using distributed computing. Proven experience in implementing and maintaining web applications in large-scale environments. Experience working with business stakeholders and users, providing research direction and solution design. Experience with CI/CD pipelines to automate the deployment and testing of software. Proficient programming skills in high-level languages, particularly Python. Solid knowledge of cloud platforms such as Azure and AWS. Experience with SQL and NoSQL such as Azure Cosmos DB and PostgreSQL Ability to quickly define and prototype solutions with continual iteration within challenging timelines. Strong communication and documentation skills for both technical and non-technical audiences. Preferred Qualifications: Generative AI Expertise : Deep understanding of generative AI models, including experience with large language models (LLMs) such as GPT, BERT, and Transformer architectures. Embedding Techniques : Proficiency in creating and utilizing embeddings for various applications, including semantic search and recommendation systems. Machine Learning and NLP : Experience with machine learning models and natural language processing techniques to enhance AI-driven solutions. Vector Search and Retrieval: Familiarity with vector search techniques and embedding models for efficient data retrieval and analysis. Cloud Platforms : Knowledge of cloud services such as AWS, Azure, or Google Cloud for deploying and managing AI solutions. Collaboration and Leadership: Ability to lead, train, and mentor team members effectively. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 317163 Posted On: 2025-06-23 Location: Hyderabad, Telangana, India

Job requisition ID :: 83537 Date: Jun 23, 2025 Location: Hyderabad Designation: Senior Consultant Entity: Your potential, unleashed. India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The team Enterprise technology has to do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth.Learn more about ET&P Your work profile As a Consultant/Senior Consultant in our Oracle Team you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: - Responsibilities Design and develop database schema, tables, and relationships. Designs, develops, implements, and maintains custom oracle applications written in PL/SQL and supports back-end data processing in PL/SQL Good Experience in SQL Analytical Query, Performance Tunning concepts. Knowledge about oracle architecture 9i and 18c different and ETL Process Design and Develop database objects like Stored Procedures, Functions, Packages and Triggers. Develop database for Ref Cursor, Collections, Dynamic SQL and Exception handling Able to work on Collections like PL/SQL Records, PL/SQL Tables, and Nested Tables in PL/SQL blocks and Bulk Collection. Good Experience Oracle Partitioning is a key feature Must have experience in creating scheduler jobs, Views, Materialized Views. Should have good understanding in Indexing. SQL Query tuning using different tools. Clear understanding of query plan. Perform code reviews to ensure code quality, standards compliance, and best practices. Debug and troubleshoot PL/SQL code to identify and resolve issues. Collaborate with cross-functional teams to gather and analyze requirements. Create and optimize SQL queries and PL/SQL code for efficient data retrieval and manipulation. Ensure data integrity, security, and performance in database operation. Collaborate with application developers to design and implement database structures that meet application requirements. Optimize database performance through indexing, query optimization, and other tuning techniques. Implement and maintain database security measures, such as roles, privileges, and access controls. Monitor and troubleshoot database issues. Excellent problem solving, issue identification, analytical and technical documentation skills. Strong interpersonal skills and ability to work well in a team environment. Understand SDLC process and tools, agile program management concepts and version control. Qualifications: Bachelor’s degree in Computer Science or a related field. 5 to 8 years of proven experience in Database Development. Strong proficiency in ORACLE SQL, PL/SQL. Proven experience as a PL/SQL Developer in a senior or lead role. Strong problem-solving skills and the ability to work collaboratively in a team environment. Exposure to cloud hosting and IT domains such as CI/CD pipelines and automated testing. Desired qualifications Experience: 3 to 8+ years of experience in software development, with at least 2 years in a leadership or technical role. Education: Bachelor's degree in Computer Science, Software Engineering, or a related field. Advanced degrees are a plus. Location and way of working Base location: Hyd/ Bengaluru This profile involves occasional travelling to client locations OR this profile does not involve extensive travel for work. Hybrid is our default way of working. Each domain has customised the hybrid approach to their unique needs. Your role as a Consultant/Senior Consultant We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society. In addition to living our purpose, Consultant/Senior Consultant across our organization must strive to be: Inspiring - Leading with integrity to build inclusion and motivation Committed to creating purpose - Creating a sense of vision and purpose Agile - Achieving high-quality results through collaboration and Team unity Skilled at building diverse capability - Developing diverse capabilities for the future Persuasive / Influencing - Persuading and influencing stakeholders Collaborating - Partnering to build new solutions Delivering value - Showing commercial acumen Committed to expanding business - Leveraging new business opportunities Analytical Acumen - Leveraging data to recommend impactful approach and solutions through the power of analysis and visualization Effective communication – Must be well abled to have well-structured and well-articulated conversations to achieve win-win possibilities Engagement Management / Delivery Excellence - Effectively managing engagement(s) to ensure timely and proactive execution as well as course correction for the success of engagement(s) Managing change - Responding to changing environment with resilience Managing Quality & Risk - Delivering high quality results and mitigating risks with utmost integrity and precision Strategic Thinking & Problem Solving - Applying strategic mindset to solve business issues and complex problems Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients and for Deloitte Empathetic leadership and inclusivity - creating a safe and thriving environment where everyone's valued for who they are, use empathy to understand others to adapt our behaviours and attitudes to become more inclusive. How you’ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report. Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone’s welcome… entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the Microsoft Fabric platform team builds and maintains the operating system and provides customers a unified data stack to run an entire data estate. The platform provides a unified experience, unified governance, enables a unified business model and a unified architecture. The Fabric Data & Telemetry team is part of the Fabric Platform. It is responsible for all platform capabilities in support of “observability” – From telemetry creation (APIs, event repositories, etc.), through routing and storage, to eventual consumption tools and data models. This observability is critical for the service and business and supports pillars such as live-site monitoring, diagnostics, analytics for operations and product development, and ensuring Fabric customers have high quality data for their own observability needs. The charter of the team is to provide Fabric stakeholders, partners and clients with world-class data for running the Service and Business. The team and its members work across different codebases, disciplines, platform components and observability pillars. In particular, the team is required to function within the service core, applying classic cloud and software engineering practices and tools, as well as a core-data team, applying (big) data-engineering and analytical practices and tools. As a software Engineer on the [YA1.1]team, you will play a key role in shaping the future of our platform. Using the latest Azure technologies, you will design and build scalable telemetry instrumentation services and pipelines and develop tools for metadata management, you will create job monitoring and notification services for data pipelines, and streamline daily operations through automation. We are looking for a Software Engineer who is passionate about observability and data, eager to leverage latest Microsoft Azure technologies to help build scalable, high-performance solutions. We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. Responsibilities • You will design, develop, and maintain high quality APIs, SDKs and data pipelines, including solutions for data collection, cleansing, transformation, and usage, ensuring accurate data ingestion and readiness for downstream analysis, visualization, and AI model training. You will build frameworks to validate data quality and completeness, detect anomalies, enhance data pipeline resiliency, and support unit and integration testing. You will design and implement end-to-end software and data life cycles—including development, CI/CD, service reliability, and agile practices—in close collaboration with Product Management and partner teams. Serve as the SME for key components in the telemetry pipeline, providing technical leadership and advocating for improvements ensuring the accuracy, efficiency, and scalability of data collection and processing. Deliver high quality features and data pipelines by leveraging industry best practice and using cutting edge technologies and Fabric/Azure-Data stack. You will anticipate data governance needs, designing data modeling and handling procedures to ensure compliance with all applicable laws and policies. You will implement and enforce security and access control measures to protect sensitive resources and data. Be part of the on-call rotation for maintaining service health. Embody our culture and values Qualifications Required /Minimum Qualifications - Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years' experience in software development, data engineering, or data modeling work. OR equivalent experience. 2+ years of experience in software engineering, with proven proficiency in C#, [YA4.1]Java, or equivalent. 2+ years of experience working and building distributed cloud services using Azure or similar technology stacks. Experience with scripting languages for data retrieval and manipulation (e.g., SQL or KQL). Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred/Additional Qualifications • 1+ years of demonstrated experience implementing data governance practices, including data access, security and privacy controls and monitoring to comply with regulatory standards. Experience with big data technologies such as: Hadoop, Hive, Spark. Equal Opportunity Employer (EOP) #azdat #azuredata #fabricdata #dataintegration #azure #telemetry #datapipelines #analytics #bigdata Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

13 hours ago Hyderabad, India | Full Time | Intern Skills Required Non-Negotiable Skills: React.js Node.js Mongo.db HTML CSS Javascript Problem solving skills Ownership Seeker Mindset Passionate Towards Work Extremely Ambitious Unbeatable Work Ethics Ability to comprehend Negotiable Skills: AWS or GCP OR Azure Docker Express.Js Job Description Department: Full Stack Development We are looking for enthusiastic and driven Fullstack Interns who are passionate about building web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js) . In this internship, you will primarily focus on crafting seamless and robust React.js UI components and integrating them within full-stack applications. This is an excellent opportunity for final-year engineering students to gain hands-on experience with modern web technologies in a collaborative and fast-paced environment. Develop and maintain responsive web applications using React.js for front-end and Node.js for back-end, ensuring seamless user experiences across devices Design and implement efficient database schemas using MongoDB , optimizing data storage and retrieval for improved application performance Craft pixel-perfect user interfaces using HTML , CSS , and JavaScript , adhering to modern web standards and best practices Collaborate with cross-functional teams to translate business requirements into technical solutions, demonstrating strong problem-solving skills Participate in code reviews, providing constructive feedback and implementing best practices to maintain high-quality codebase Optimize application performance and loading times, ensuring smooth user interactions and improved retention rates Develop and integrate RESTful APIs, facilitating seamless communication between front-end and back-end systems Implement robust error handling and logging mechanisms to enhance application reliability and troubleshooting capabilities Contribute to the continuous improvement of development processes, showcasing a seeker mindset and passion towards work Take ownership of assigned tasks, consistently delivering high-quality code within project timelines About Techolution At Techolution, we specialize in building custom AI solutions that deliver innovation and drive measurable outcomes for enterprises worldwide. With our specialized expertise we help businesses take AI from their labs into the real world. What We Do At Techolution, we specialize in building custom AI solutions that deliver innovation and drive measurable outcomes for enterprises worldwide. With our specialized expertise we help businesses take AI from their labs into the real world. Our Unique Value Proposition White Glove Service: From Ideation Innovation Integration, we lead the way to deliver meaningful outcomes, enabling your team to operate AI solutions independently. Human-AI Partnership: Our Govern Guide Control (GGC) framework ensures responsible AI governance, aligning solutions with your organizational requirements and brand identity. Customized AI Solutions: We tailor AI to your enterprise needs, delivering from concept to implementation with our turnkey approach at a guaranteed price. Awards and Recognition 2024 Forbes publishes the best-selling book by our CEO, "Failing Fast?: The 10 Secrets to Succeed Faster." 2023 AI Solutions Provider of the Year - AI Summit 2022 Best in Business Award - Inc. Magazine Perks & Benefits Comprehensive perks and benefits supporting your growth, well-being, and work-life balance at Techolution. Medical insurance Employee recognition program Success ownership program Free meals and snacks

Job Title: AI Developer Location: Cochin (India) About the Role: We are looking for an experienced AI Developer to lead the development of AI-driven capabilities within our platform. This role involves working with LangChain, LLMs, and multi-agent architectures to enhance customer interactions and automate workflows. If you have hands-on experience in AI-driven chatbots, Agentic AI, NLP, and LLM-based development , we’d love to hear from you! Key Responsibilities: Design and develop AI-driven solutions using LangChain and LLMs . Implement AI Agents that understand, process, and respond to customer queries. Develop modular and scalable AI-driven workflows for automation. Fine-tune and optimize LLMs for better response accuracy and efficiency. Work with the product team to align AI capabilities with customer needs and business objectives. Ensure AI models comply with ethical AI principles and data security standards. Requirements: 1 to 2 years of experience in AI/ML development, focusing on LLMs, LangChain, or Agentic AI is mandatory Strong proficiency in Python and AI frameworks like LangChain, Hugging Face, OpenAI, and other LLM APIs . Hands-on experience in NLP, prompt engineering, embeddings, and vector search . Familiarity with multi-agent AI architectures and retrieval-augmented generation (RAG) . Experience with database systems (SQL, NoSQL, or vector databases like Pinecone, ChromaDB, or FAISS) . Strong problem-solving and analytical skills. Understanding of API development and integration with backend systems. Preferred Qualifications: Experience with C#/.NET 8 is a plus. Background in chatbot development or conversational AI. Prior work in contact center AI, automation, or customer engagement platforms . Job Type: Full-time Pay: ₹15,000.00 - ₹25,000.00 per month Location Type: In-person Schedule: Monday to Friday Application Question(s): How many years of experience do you have in Langchain? How many years of experience do you have in AI-driven chatbots and Agentic AI? Work Location: In person Application Deadline: 27/06/2025 Expected Start Date: 12/07/2025

Role Purpose With minimal guidance, act as part of a team to process transactions in accordance with Service Level Agreements. Follow appropriate accounting, finance and/or Human Resources policies and procedures in assigned function. Identify discrepancies, clear errors, and perform route-cause analysis. Contribute to the continuous improvement of all areas in process scope. Track and report specific Service Level Agreement requirements and metrics. Key Accountabilities SPECIALITY PROCESSING - Process transactions in accordance with Service Level Agreements. Maintain and update the team’s records management for tracking, communications and continuous improvement purposes. Perform specialty accounting or human resources functions such as maintaining, reconciling, analyzing, and preparing financial statements. Specialty accounting functions include, but are not limited to, providing expertise in the investigation and analysis of significant changes in key account balances. Responsibilities also include identifying and implementing solutions to resolve significant changes to key account balances. Review a variety of documents, listings, summaries, etc. for completeness and accuracy. Analyze assigned system reports to ensure accuracy, research and resolve problems; ensure the integrity of assigned system and data. Prepare and compile various reports as required for special studies and projects. Prepare monthly financial statements using standard accounting practices. Communicate with the customer to obtain correct information or financial data, as necessary. Check records against other current sources such as reports or summaries; investigate differences and take required action to insure that records are accurate and up to date. Operate a computer system, including input, edit, retrieval and analysis of transactional data. Provide recommendations for future system enhancements and process improvements. Select, interpret, classify and adjust inputted data and arrange, convert and compile data into report form. Facilitate continued improvement efforts with the Work Team and with the Customer and Process Support Team. CUSTOMER SUPPORT - May be required to talk to customers, clients or suppliers over the phone. May contact the Customer and Process Support Team to obtain correct information on the remittance advice, as necessary. Apply analytical techniques to one or more disciplines. May perform statistical analyses and create accurate charts, tables and graphs in the correct format and within established time frames as required. Select and use appropriate software to effectively analyze data. Compile and analyze financial information. Effectively communicate findings and make recommendations to appropriate staff, including key stakeholders and business leaders. Maintain a consistent, high quality customer-focused orientation. Listen to and communicate with customer to obtain all required information necessary to determine and address their specific needs; tactfully explain why, if service cannot be provided. Respond to individuals in manner and timeframe promised or follow-up to explain status. Provide clear, accurate information; explain procedures or materials or provide supplemental information; anticipate problems or questions. Functional Complexities and Duties – Prepare monthly hotel and corporate financial statements and ensuring integrity and accuracy are maintained. Prepare and review monthly balance sheet and bank reconciliation’s and appropriate reconciling journal entries. Responsible for financial data collection process. Prepare or review work-papers for internal / external auditors. Facilitate training and supporting hotel general management / accounting staff. Key Skills & Experiences Education – Associate Degree or Bachelor's Degree or technical institute degree/certificate or an equivalent combination of education and work related experience. Experience – 1 to 3 years progressive work related experience with demonstrated proficiency and understanding in one or more functions related to the position. Technical Skills and Knowledge – Demonstrated knowledge of People Soft or other E.R.P. system’s finance, accounting and/or Human Resources modules. Demonstrated proficiency in accurately populating databases with necessary information in designated time periods. Demonstrates clear, concise and succinct communication skills including adapting both verbal and written communication to the needs and level of the user. Don't quite meet every single requirement, but still believe you'd be a great fit for the job? We'll never know unless you hit the 'Apply' button. Start your journey with us today.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? Enterprise Essentials team within Financial Data Engineering is hiring for a highly skilled Senior Engineering Manager with expertise in Python/Java Full Stack Development, Generative AI, Data Engineering, and Natural Language Processing. The Senior Engineering Manager will be working on creating new capabilities and modernizing existing ones in the domain of Global Tax, Finance and GSM Conversational AI platforms, and Enterprise essential products like Reconciliations, ERRM, Balancing and Control, Concur, and Ariba. The ideal candidate will be responsible for designing, developing, and maintaining scalable AI-driven applications and data pipelines. This role requires a deep understanding of NLP techniques, modern AI frameworks, data engineering best practices, and full-stack development to build innovative solutions that leverage machine learning and AI technologies. Key Responsibilities: Oversees and mentors a team of Software Engineering colleagues, enabling a culture of continuous learning, growth opportunities, and inclusivity for all individual colleagues and teams. Provides direct leadership and coaching to teams, supporting training and development of best practices. Manages resource allocation, project timeline, and budget for Software Engineering projects, ensuring alignment with organizational goals. Collaborates with senior leadership to hire top talent for the team, ensuring a high-functioning and cohesive unit, implementing strategies for talent retention and professional development Leads the development, deployment, support, and monitoring of software across various environments. Collaborates with senior leadership and cross-functional teams to define and implement technology roadmaps and strategies. Leads teams to innovate and automate processes, driving efficiency and scalability in production environments. Drives continuous improvement initiatives, leveraging metrics and feedback to improve team performance and software quality. Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives. Full Stack Development: Design and develop scalable and secure applications using Java / Python framework, and front-end technologies such as React. Implement and optimize microservices, APIs, and server-side logic for AI-based platforms. Develop and maintain cloud-based, containerized applications (Docker, Kubernetes). Design, optimize, and deploy high-performance systems ensuring minimal latency and maximum throughput. Architect solutions for real-time processing, ensuring low-latency data retrieval and high system availability. Troubleshoot and enhance system performance, optimizing for large-scale, real-time, distributed and COTS applications. Generative AI & Machine Learning: Develop, and deploy innovative solutions in Tax, and finance using ML & Generative AI models leveraging frameworks such as langchain. Implement NLP algorithms for language understanding, text summarization, information extraction, and conversational agents. Create pipelines for training and deploying AI models efficiently in production environments. Collaborate with data scientists to optimize and scale AI/NLP solutions. Integrate AI/ML models into applications, ensuring proper scaling, optimization, and monitoring of models in production. Design solutions that enable fast and efficient inference for real-time AI applications. Data Engineering: Build and maintain data pipelines to support AI/ML model development and deployment. Design and develop ETL processes to ingest, clean, and process large-scale structured and unstructured datasets. Work with data storage and retrieval solutions like SQL/NoSQL databases, data lakes, and cloud storage (GCP, AWS, or Azure). Ensure data integrity, security, and performance of the data pipelines. Collaboration & Leadership: Lead cross-functional teams to deliver high-quality, AI-driven products. Lead and mentor engineers and collaborate with product managers, data scientists, and business stakeholders to ensure alignment with project goals. Keep up-to-date with the latest advancements in AI, NLP, and data engineering, and provide technical guidance to the team. Takes accountability for the success of the team achieving their goals Drives the team’s strategy and prioritizes initiatives Influence team members by challenging status quo, demonstrating risk taking, and implementing creative ideas. Be a productivity multiplier for your team by analysing your workflow and contributing to enable the team to be more effective, productive, and demonstrating faster and stronger results. Mentor and guide team members to success within the team Minimum Qualifications Education: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or a related field. 10+ years of experience in software engineering in architecture and design (architecture, design patterns, reliability and scaling) of new and existing systems. Strong experience in developing full stack software in Java or Python, data engineering, and AI/NLP solutions and demonstrated ability to quickly learn new languages. Following standard Engineering excellence standards while building software. Leveraging code assistants like Github Copilot. Writing great prompts for generating high quality code, tests, and other artefacts like documentation. Proficiency in data engineering tools and frameworks like GCP BigQuery, Apache Spark, Kafka. Proficiency with containerization (Docker, Kubernetes), CI/CD pipelines, and version control. Experience with RESTful API design, microservices architecture, and cloud platforms (AWS / GCP / Azure). Preferred Qualifications Experience working with large-scale AI systems in production environments. Familiarity with modern AI research and developments in Generative AI and NLP. `Strong understanding of DevOps and Infrastructure-as-Code (Terraform, Ansible). Proven track record of delivering AI-driven products that scale Understanding of MLOps practices will be a plus. Familiarity with Generative AI models and frameworks (e.g., GPT, DALL-E) Knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) will be a plus We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Lead Assistant Manager EXL/LAM/1357080 ServicesGurgaon Posted On 14 May 2025 End Date 28 Jun 2025 Required Experience 2 - 4 Years Basic Section Number Of Positions 1 Band B2 Band Name Lead Assistant Manager Cost Code D011116 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 1400000.0000 - 2000000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group Analytics Sub Group Banking & Financial Services Organization Services LOB Services SBU Analytics Country India City Gurgaon Center EXL - Gurgaon Center 38-B Skills Skill SQL TABLEAU Minimum Qualification B TECH Certification No data available Job Description Job Title : Consultant/Senior Consultant Location : Gurgaon Job Description : We are hiring consultant/senior consultant with expertise in SQL, Hive, Python, Tableau and good exposure to Machine Learning would be an advantage. Must be able to work independently with multiple stakeholders. For BI task, you will design, develop, and maintain excel and Tableau solutions, transforming raw data into actionable insights and work independently. Collaborate with stakeholders, write SQL queries, and utilize Hive and Python for data manipulation. Ensure data accuracy, provide technical support, and stay updated with the latest Tableau features. Strong problem-solving skills and attention to detail required. Prior experience with Payments and fraud domain is preferred. Responsibilities: Collaborate with stakeholders to understand their data requirements and translate them into Tableau dashboards and reports. Conduct adhoc analysis basis the business trends and recommend the next action items Develop and maintain Tableau visualizations, interactive dashboards, and reports to provide actionable insights to business users. Design and optimize data models and data structures to support efficient data retrieval and analysis. Write complex SQL queries to extract, transform, and load data from various data sources into Tableau. Utilize Hive and Python for data manipulation, transformation, and automation tasks. Conduct thorough testing and debugging of Tableau solutions to ensure data accuracy and dashboard performance. Stay updated with the latest Tableau features, techniques, and best practices, and apply them to enhance existing reports and dashboards. Collaborate with data engineers and data scientists to ensure seamless integration and alignment of Tableau solutions with the overall data ecosystem. Requirements: Tableau Developer Strong Proficiency in SQL, Hive Prior experience in SQL for data extraction, manipulation, and analysis. Proficiency in Python Understanding of Big Data Ecosystem Strong problem-solving and attention to detail Payments and Fraud prior experience good to have Added advantage to those with understanding of Machine Learning algorithms in classification such as random forest, XGBoost etc Workflow Workflow Type L&S-DA-Consulting

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). #LI-DS1

Role Purpose With minimal guidance, act as part of a team to process transactions in accordance with Service Level Agreements. Follow appropriate accounting, finance and/or Human Resources policies and procedures in assigned function. Identify discrepancies, clear errors, and perform route-cause analysis. Contribute to the continuous improvement of all areas in process scope. Track and report specific Service Level Agreement requirements and metrics. Key Accountabilities SPECIALITY PROCESSING - Process transactions in accordance with Service Level Agreements. Maintain and update the team’s records management for tracking, communications and continuous improvement purposes. Perform specialty accounting or human resources functions such as maintaining, reconciling, analyzing, and preparing financial statements. Specialty accounting functions include, but are not limited to, providing expertise in the investigation and analysis of significant changes in key account balances. Responsibilities also include identifying and implementing solutions to resolve significant changes to key account balances. Review a variety of documents, listings, summaries, etc. for completeness and accuracy. Analyze assigned system reports to ensure accuracy, research and resolve problems; ensure the integrity of assigned system and data. Prepare and compile various reports as required for special studies and projects. Prepare monthly financial statements using standard accounting practices. Communicate with the customer to obtain correct information or financial data, as necessary. Check records against other current sources such as reports or summaries; investigate differences and take required action to insure that records are accurate and up to date. Operate a computer system, including input, edit, retrieval and analysis of transactional data. Provide recommendations for future system enhancements and process improvements. Select, interpret, classify and adjust inputted data and arrange, convert and compile data into report form. Facilitate continued improvement efforts with the Work Team and with the Customer and Process Support Team. CUSTOMER SUPPORT - May be required to talk to customers, clients or suppliers over the phone. May contact the Customer and Process Support Team to obtain correct information on the remittance advice, as necessary. Apply analytical techniques to one or more disciplines. May perform statistical analyses and create accurate charts, tables and graphs in the correct format and within established time frames as required. Select and use appropriate software to effectively analyze data. Compile and analyze financial information. Effectively communicate findings and make recommendations to appropriate staff, including key stakeholders and business leaders. Maintain a consistent, high quality customer-focused orientation. Listen to and communicate with customer to obtain all required information necessary to determine and address their specific needs; tactfully explain why, if service cannot be provided. Respond to individuals in manner and timeframe promised or follow-up to explain status. Provide clear, accurate information; explain procedures or materials or provide supplemental information; anticipate problems or questions. Functional Complexities and Duties – Prepare monthly hotel and corporate financial statements and ensuring integrity and accuracy are maintained. Prepare and review monthly balance sheet and bank reconciliation’s and appropriate reconciling journal entries. Responsible for financial data collection process. Prepare or review work-papers for internal / external auditors. Facilitate training and supporting hotel general management / accounting staff. Key Skills & Experiences Education – Associate Degree or Bachelor's Degree or technical institute degree/certificate or an equivalent combination of education and work related experience. Experience – 1 to 3 years progressive work related experience with demonstrated proficiency and understanding in one or more functions related to the position. Technical Skills and Knowledge – Demonstrated knowledge of People Soft or other E.R.P. system’s finance, accounting and/or Human Resources modules. Demonstrated proficiency in accurately populating databases with necessary information in designated time periods. Demonstrates clear, concise and succinct communication skills including adapting both verbal and written communication to the needs and level of the user. Don't quite meet every single requirement, but still believe you'd be a great fit for the job? We'll never know unless you hit the 'Apply' button. Start your journey with us today.

Job ID: 201335 Required Travel : Minimal Managerial - Yes Location: India- Gurgaon (Amdocs Site) Who are we? Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers’ innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers’ migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5.00 billion in fiscal 2024. For more information, visit www.amdocs.com In one sentence We are seeking a GenAI Architect & People Manager with strong technical depth and leadership capabilities to lead our GenAI initiatives. The ideal candidate will possess a robust understanding of Generative AI , Machine Learning , and Cloud-based solution delivery , combined with proven experience in managing high-performing technical teams. This role requires a visionary who can translate business challenges into scalable AI solutions while nurturing talent and fostering innovation. What will your job look like? Lead the design and implementation of GenAI and ML-based solutions across business use cases. Translate business requirements into technical architectures using Azure/AWS Cloud Platforms . Manage and mentor a multidisciplinary team of engineers, data scientists, and ML specialists . Drive adoption of Databricks , PySpark , and Java-based frameworks within solution development. Collaborate closely with product owners, data engineering teams, and business stakeholders. Ensure high standards in code quality, system performance, and model governance . Track industry trends and continuously improve the GenAI strategy and roadmap. Oversee end-to-end lifecycle: use case identification, PoC, MVP, production deployment, and support. Define and monitor KPIs to measure team performance and project impact. All you need is... 13+ years of overall IT experience with a strong background in Telecom domain (preferred). Proven hands-on experience with GenAI technologies and Machine Learning pipelines . Strong understanding of LLMs , Prompt Engineering , RAG (Retrieval-Augmented Generation) , and fine-tuning. Demonstrated experience in building and deploying GenAI use cases on Azure or AWS . Strong expertise in Databricks , PySpark , and Java . In-depth understanding of cloud-native architecture , microservices , and data pipelines . Solid people management experience: team building, mentoring, performance reviews. Strong analytical thinking and communication skills. Good to Have Skills: Familiarity with LangChain, HuggingFace Transformers , and Vector Databases (like FAISS, Pinecone). Experience with Data Governance , MLOps , and CI/CD for AI/ML models. Certification in Azure/AWS (e.g., Azure AI Engineer, AWS Certified Machine Learning). Exposure to NLP , speech models , or multimodal AI . Why you will love this job: You will be challenged with leading and mentoring a few development teams & projects You will join a strong team with lots of activities, technologies, business challenges and a progression path You will have the opportunity to work with the industry most advanced technologies Amdocs is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to fostering a diverse and inclusive workforce

About Unique Innovations Unique was established in 1979 by the name of Unique Sales Corporation dealing mainly with wholesale Cabinet Handles & Knobs. In 2002, the firm changed its name to Unique Innovations. It started with imports of Architectural Hardware and Furniture Fittings from different parts of the world. The showroom opened in Kotla, Opposite Defence colony in South Delhi, where you can get a feel of all these products. Over 20,000 products are displayed in the Kotla showroom. We have other showrooms in Gurgaon, NCR, in the Grand Mall. Benzoville is a trademark of Unique Innovations. To know more about our company, please visit www.benzoville.com Job Title : Godown Helper Department : Godown/ Warehouse Operations Job Summary We are seeking a reliable and detail – oriented Store keeper to manage the efficient storage and retrieval of goods in our godown. The ideal candidate will be responsible for maintaining accurate inventory records, organizing stocks, and ensuring the smooth operation of the godown on a daily basis. Qualifications : 12th Pass (10+2) Experience : 1-2 years of experience as a store keeper or in a similar role in a godown or warehouse environment. No. of Posts – 2 Salary – 14,000 – 20,000 Job Type: Full-time Pay: ₹14,000.00 - ₹20,000.00 per month Schedule: Morning shift Work Location: In person

Job description Node.js: Node.js is a runtime environment for executing JavaScript on the server-side. MERN Stack Developers should have strong knowledge of Node.js, including event-driven programming, asynchronous operations, and server-side scripting.In this article, we will delve into the qualifications, technical and non-technical skills, as well as the roles and responsibilities of a MERN Stack Developer.. Technical Skills MongoDB: MERN Stack Developers should have expertise in working with MongoDB, a NoSQL database, for data storage and retrieval. They should be proficient in writing queries, setting up database schemas, and performing CRUD operations. Version Control: Proficiency in version control systems, such as Git, is essential for collaborating with other developers, managing code repositories, and tracking changes in the project. Roles and Responsibilities Full-Stack Development: MERN Stack Developers are responsible for end-to-end web application development, including frontend and backend development. They build user interfaces, develop APIs, and integrate frontend and backend components. Deployment and Maintenance: MERN Stack Developers deploy applications to production environments, configure servers, and monitor performance. They also perform regular maintenance tasks, including software updates, bug fixes, and security patches. Job Type: Full-time Salary: From ₹15,000.00 per month Schedule: Day shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: Teaching: 1 year (Preferred) total work: 1 year (Preferred) Language: English, Hindi (Preferred) *Speak with the employer* +91 8146759497 Job Types: Full-time, Fresher, Internship Salary: From ₹15 ,000 per month Schedule: Day shift Ability to commute/relocate: Sahibzada Ajit Singh Nagar, Punjab: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) software development: 1 year (Preferred) HTML5: 1 year (Preferred) *Speak with the employer* +91 8146759497 Job Types: Full-time, Permanent, Fresher Pay: From ₹15,000.00 per month Schedule: Day shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: Angular: 1 year (Preferred) total work: 1 year (Preferred)

Job Description: A Store and Dispatch Executive is responsible for managing both the physical storage of goods and the process of sending them out to customers. This role involves overseeing inventory, ensuring accurate documentation, coordinating logistics, and maintaining a smooth dispatch process. Key Responsibilities: Inventory Management: Maintaining accurate records of stock levels, and conducting regular stock checks. Warehouse Operations: Organizing and maintaining the warehouse, implementing proper labeling and signage, and ensuring efficient storage and retrieval of goods. Quality Control: Conducting quality checks on incoming and outgoing products to ensure they meet the required standards. Documentation: Preparing and managing Goods Received Notes (GRNs), dispatch documentation, and other relevant paperwork. Communication: Effectively communicating with internal teams to ensure smooth operations. Job Type: Full-time Pay: ₹10,000.00 - ₹15,000.00 per month Schedule: Evening shift Night shift Rotational shift Supplemental Pay: Performance bonus Work Location: In person

Job Summary Gen AI Agentic AI Project Management Python Designing scalable GenAI systems (e.g. RAG pipelines multi-agent systems). Choosing between hosted APIs vs open-source models. Architecting hybrid systems (LLMs + traditional software). Model Evaluation & Selection Benchmarking models (e.g. GPT-4 Claude Mistral LLaMA). Responsibilities Strategic & Leadership-Level GenAI Skills AI Solution Architecture Designing scalable GenAI systems (e.g. RAG pipelines multi-agent systems). Choosing between hosted APIs vs open-source models. Architecting hybrid systems (LLMs + traditional software). Model Evaluation & Selection Benchmarking models (e.g. GPT-4 Claude Mistral LLaMA). Understanding trade-offs: latency cost accuracy context length. Using tools like LM Evaluation Harness OpenLLM Leaderboard etc. Enterprise-Grade RAG Systems Designing Retrieval-Augmented Generation pipelines. Using vector databases (Pinecone Weaviate Qdrant) with LangChain or LlamaIndex. Optimizing chunking embedding strategies and retrieval quality. Security Privacy & Governance Implementing data privacy access control and audit logging. Understanding risks: prompt injection data leakage model misuse. Aligning with frameworks like NIST AI RMF EU AI Act or ISO/IEC 42001. Cost Optimization & Monitoring Estimating and managing GenAI inference costs. Using observability tools (e.g. Arize WhyLabs PromptLayer). Token usage tracking and prompt optimization. Advanced Technical Skills Model Fine-Tuning & Distillation Fine-tuning open-source models using PEFT LoRA QLoRA. Knowledge distillation for smaller faster models. Using tools like Hugging Face Axolotl or DeepSpeed. Multi-Agent Systems Designing agent workflows (e.g. AutoGen CrewAI LangGraph). Task decomposition memory and tool orchestration. Toolformer & Function Calling Integrating LLMs with external tools APIs and databases. Designing tool-use schemas and managing tool routing. Team & Product Leadership GenAI Product Thinking Identifying use cases with high ROI. Balancing feasibility desirability and viability. Leading GenAI PoCs and MVPs. Mentoring & Upskilling Teams Training developers on prompt engineering LangChain etc. Establishing GenAI best practices and code reviews. Leading internal hackathons or innovation sprints.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As the Assembly and Test Automation Director, your primary responsibility is to lead a team of managers and engineers in implementing automation solutions, which drives manufacturing excellence, viz. quality/ yield, factory footprint & equipment utilization, labor productivity and cycle time improvements. Automation encompasses physical infrastructure like material handling, storage & retrieval, manufacturing execution systems, dispatch & scheduling systems and smart manufacturing programs. You will be responsible for handling and improving functional area performance by collaborating with internal and external partners to build and implement strategies aligned to corporate objectives. Your leadership should encourage both individual capability and high-performance team with clearer goals and development plans. You will monitor performance metrics to identify and implement continual improvement opportunities. Other responsibilities include ensuring organizational compliance to company policies and laws, as well as to departmental procedures for the development of sustainably successful solutions. Responsibilities and Tasks Planning and Implementation: Develop an automation roadmap and implement solutions to improve quality, efficiency, productivity, and overall plant performance. Run automation projects from conception to completion, ensuring they meet budget, schedule, and quality requirements. Develop organizational structure and talent to support the infrastructure for sustainable performance. Know-how Expertise: Possess extensive knowledge of the Manufacturing Execution System suited for semiconductor industry esp. Packaging Assembly & Test. Experienced in automated material handling viz. AMHS or AGV/ ARV, automated storage solutions viz. ASRS or stockers Exposed to IIOT sensors, systems and framework Experienced with dispatch and scheduling systems for high volume manufacturing environment; advantageous if it is for semiconductor industries Possess a good understanding of industrial automation technologies, including PLCs, HMIs, SCADA systems, robotics, and vision systems. Team Leadership and Management: Lead, mentor and strengthen a team of elite automation engineers Continuously build up team’s technical competencies through knowledge sharing and industry benchmarking Manage staff performance, conduct regular performance evaluations, and provide opportunities for professional development. Develop a culture of partnership, communication, and collaboration within the team and with other departments. Run partner relationships, including vendors. Operational Expertise: Excellent project management skills - overall site project achievements, technical challenges, lead-times and risk mitigation plans Setup regular meeting with multi-functional team to ensure successful implementation of automation solutions Fix and diagnose automation system failures, ensuring minimal downtime Develop and maintain user documentation. Continuous Improvement: Identify areas for continuous improvement in automation processes and systems. Implement and track key performance indicators (important metrics) to measure the effectiveness of automation initiatives. Drive a culture of innovation and experimentation to find new and better ways to automate processes. Safety and Compliance: Ensure compliance with all relevant safety laws and industry standards. Develop and implement safety procedures for automation systems and processes. Conduct regular safety inspections and audits. Requirements: Engineering graduate preferably in Computer Science, Electrical/ electronics, mechanical field; MBA is preferred. 5+ years of experience of leading manufacturing excellence and automation 5+ years of experience in groundbreaking projects in complex environments Prior experience of setting up a Centre of Excellence for manufacturing automation Consistent track record of inspiring change through influence and leading multi-functional teams through ambiguity Strong influencing and negotiating skills sufficient to shape thinking and decisions while responding to underlying concerns or multiple interests Excellent analytical ability, organizational, problem solving, and leadership skills Additional certifications like Scrum, PMP, and other relevant credentials are a plus Excellent verbal, written, and interpersonal communication skills Proficient in Visio, Word, Excel and PowerPoint; familiarity with Microsoft Project considered an asset About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Growexx is looking for a smart and passionate Data Scientist , who will empower Marketing, Product, and Sales teams to make strategic, data-driven decisions. Key Responsibilities Mine, process, and analyze web, product, sales, and digital marketing data at an event level. Utilize traditional machine learning techniques and language models (LLMs) to build great AI agents for different business needs. Assist in developing and optimizing LLM-driven solutions for tasks such as text summarization and basic customer support automation. Contribute to building and deploying predictive models and machine learning algorithms across customer profile and usage datasets. Support the deployment of machine learning models into production environments. Assist in designing and implementing basic model activation strategies and participating in A/B testing plans. Conduct evaluations of LLMs, focusing on basic performance metrics like accuracy and latency. Integrate LLM agents with APIs and assist in maintaining data models and improving taxonomy. Key Skills Hands on experience with LLM models and basic knowledge of evaluation metrics for LLMs. Knowledge of designing and deploying agentic systems. knowledge bases, retrieval systems (RAG architecture), and orchestrating dynamic multi-agent workflows. Exposure to machine learning techniques including supervised and unsupervised learning Proficiency in Python, SciKit, SQL, Jupyter Notebooks and understanding of cloud platforms for data science tasks. Basic understanding of data mining and statistical analysis techniques. Continuous learner, keeping up-to-date with the latest advances in transformers, generative AI models, retrieval-augmented generation (RAG), and agentic AI frameworks. Education and Experience B Tech or B. E. (Computer Science / Information Technology) 1+ years as a Data Scientist or similar roles. Analytical and Personal skills Must have good logical reasoning and analytical skills. Good Communication skills in English – both written and verbal. Demonstrate Ownership and Accountability of their work. Attention to detail.