5839 Retrieval Jobs - Page 11

Minimum qualifications: Bachelor's degree in Computer Science, Electrical Engineering or equivalent practical experience. 8 years of experience with compilers (e.g., optimization, parallelization, etc.) or ML (optimization, SDK etc.). 3 years of experience in managing a team. Preferred qualifications: Master's degree or PhD in Computer Science or a related field. Experience optimizing ML models for inference. Experience developing developer tools and Software Development Kits (SDKs) in the context of accelerator-based architectures. Experience compiling for heterogeneous architectures across Internet Protocol (IPs), including but not limited to Central Processing Unit (CPU), Graphics Processing Unit (GPU) and Neural Processing Unit (NPUs). About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will join the Developer Experience team to enhance the developer journey across all EdgeTPU (Tensor Processing Unit) offerings, which include embedded ML accelerators powering applications from smartphones from to data centers. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Analyze and improve developer tools quality and performance on optimization decisions, correctness and performance as part of the EdgeTPU developer experience team. Design end-to-end customer user journeys to execute Machine Learning (ML) workloads on the EdgeTPU in a seamless manner. Collaborate with cross-functional teams to develop efficient workflows that deliver an excellent user experience. Partner with ML model developers, researchers, and EdgeTPU hardware/software teams to accelerate the transition from research ideas to exceptional user experiences on the EdgeTPU. Lead a team of engineers. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Location: Pune Qualification: B.E./B.Tech Skills And Responsibilities An in-depth knowledge of Plant 3D Customization & AutoCAD, Lisp Programming, and a hand-on experience on SQL database Knowledge in International Codes and Practices Software Loading and Project Setup Day-to-day administrative activities like Project Archival, Retrieval, Back Up, etc. Piping Specs, Specialty Items customization & catalogues preparation Drawing file customization Extraction of various reports like Interferences, Reports, MTO, Line List, Design Parameters, and Insulation Troubleshooting of Plant 3D user level and advance user level problems Conducting internal training Administration of Plant 3D model, customization to suit project requirements, and support to multi-discipline end users of model Ensure maintenance of integrity of 3D model database and regular transfer of information from 3D model to other IT Systems Work closely with discipline leads of projects to understand their requirements and address their demand on time Develop macros to automate tasks, improve efficiency, and avoid human errors Please send your resume to careers@neilsoft.com with the job code in the subject line. Share the page email facebook twitter linkedin pinterest

Job Description  Follow GLP, GDP and Data Integrity practices while working in laboratory  To perform sampling of raw material and packaging materials as per SOP.  Routine analysis of Raw materials, packaging materials, In-process, finished products, Cleaning swabs and Stability samples.  To perform preventive maintenance and calibration of the analytical instruments as per calibration schedule.  Preparation of technical documents like SOPs, specifications, COA, STP, Validation protocols/reports, Transfer protocols/reports etc.  Archival and retrieval of system documents i.e. Instrument logbooks, Registers etc.  Reference samples management.  Validation and Verification of analytical methods.  Reporting of analytical data and submit for review and release.  Maintain hygienic condition in respective department.  Column Management: Numbering, Issuance and Usage log maintenance of project specific column.  Standard Management: Numbering, Issuance and Usage log maintenance of project specific standards.  Review of logbooks.  Ensure use of Personal Protective Equipment & attend EHS training & send waste to concerned person & comply EHS requirements. Qualifications Master in Pharmacy or Science Required Skills Data Integrity Expertise in HPLC, GC, UV, Dissolution, PSD, FTIR GLP Method Validation and Verification Preparation of Protocol, Reports, STP About Us In the three decades of its existence, Piramal Group has pursued a twin strategy of both organic and inorganic growth. Driven by its core values, Piramal Group steadfastly pursues inclusive growth, while adhering to ethical and values-driven practices. Equal employment opportunity Piramal Group is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, ethnicity, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetics, or other applicable legally protected characteristics. We base our employment decisions on merit considering qualifications, skills, performance, and achievements. We endeavor to ensure that all applicants and employees receive equal opportunity in personnel matters, including recruitment, selection, training, placement, promotion, demotion, compensation and benefits, transfers, terminations, and working conditions, including reasonable accommodation for qualified individuals with disabilities as well as individuals with needs related to their religious observance or practice. About The Team Piramal Pharma Solutions (PPS) is a Contract Development and Manufacturing Organization (CDMO) offering end-to-end development and manufacturing solutions across the drug life cycle. We serve our customers through a globally integrated network of facilities in North America, Europe, and Asia. This enables us to offer a comprehensive range of services including drug discovery solutions, process & pharmaceutical development services, clinical trial supplies, commercial supply of APIs, and finished dosage forms. We also offer specialized services such as the development and manufacture of highly potent APIs, antibody-drug conjugations, sterile fill/finish, peptide products & services, and potent solid oral drug products. PPS also offers development and manufacturing services for biologics including vaccines, gene therapies, and monoclonal antibodies, made possible through Piramal Pharma Limited’s investment in Yapan Bio Private Limited. Our track record as a trusted service provider with experience across varied technologies makes us a partner of choice for innovators and generic companies worldwide. Job Info Job Identification 9089 Job Category Analytical Development Posting Date 07/18/2025, 05:06 AM Degree Level Master's Degree Job Schedule Full time Locations Plot No:-19,PHARMEZ, Sarkhej-Bawala NH-8A, Ahmedabad, Gujarat, 362001, IN

Job Summary The Lead Administrator role is pivotal in managing and optimizing our content management systems specifically focusing on OpenText and SAP solutions. With a hybrid work model this position requires a deep understanding of Generative AI and SAP technologies to enhance operational efficiency. The role involves collaborating with cross-functional teams to ensure seamless integration and archiving processes contributing significantly to the companys digital transformation initiatives. Responsibilities Manage and optimize OpenText Archive Server and Content Server to ensure efficient data storage and retrieval processes. Oversee the implementation and maintenance of SAP DART and SAP ILM systems to support data compliance and archiving requirements. Provide technical expertise in Generative AI to enhance content management capabilities and drive innovation within the organization. Collaborate with cross-functional teams to integrate SAP Archiving solutions with existing systems ensuring seamless data flow and accessibility. Develop and implement best practices for data archiving and retrieval focusing on improving system performance and user experience. Monitor system performance and troubleshoot issues to maintain optimal functionality and minimize downtime. Lead efforts to automate routine tasks and processes leveraging AI and machine learning technologies to increase efficiency. Ensure compliance with industry regulations and company policies regarding data management and archiving. Conduct regular training sessions for team members to enhance their technical skills and knowledge of content management systems. Provide strategic insights and recommendations to senior management on improving data management practices and technologies. Support the engineering and design teams by ensuring that data management systems meet their specific needs and requirements. Contribute to the companys digital transformation initiatives by implementing cutting-edge technologies and solutions. Work closely with the industrial manufacturing domain to tailor content management solutions that align with industry standards. Qualifications Possess strong technical skills in Generative AI OpenText Archive Server and Content Server. Demonstrate expertise in SAP DART SAP ILM and SAP Archiving. Have experience in engineering and design as well as industrial manufacturing domains. Exhibit excellent problem-solving abilities and attention to detail. Show proficiency in managing hybrid work environments and day shifts. Display strong communication and collaboration skills. Bring a minimum of 6 years of relevant experience in content management and archiving. Certifications Required OpenText Certified Content Server Administrator SAP Certified Application Associate

Job Description Preparation and updation of Validation Master Plan (VMP) Preparation of Process validation, Computer system validation protocol and report. Preparation of product matrix and Cleaning Validation/verification protocol and Report. Preparation of qualification and requalification protocol and report for processing equipment/instrument, utilities, and facility. Preparation of area validation protocol and reports. Preparation and review of quality risk assessments. Review of calibration certificate (External/internal). Preparation, issuance, review & archival of BMR/BPR. Batch Record storage, retrieval & destruction. Preparation of APQR. Line Clearance for Manufacturing, Packing & Dispensing activity. Sampling of Bulk and Finished goods. Review of production records and Finished Goods verification. Online observation of process deviation and effective implementation of CAPA. Management of Change Control / CAPA / Incidences. Handling of Change Control and follow-up for the implementation of Changes. To coordinate & maintain change control, deviation records. Complaint handling. Preparation and updation of Q.A departmental SOPs and loading it in DCS (Document Control System) ENSUR 4.2 To give training as per the Training schedule. To coordinate training program of the company along with HR, including on Job Training. Documentation Management as per SOP. To provide necessary documents / data required by CQA and as per customer’s requirement. Conduct, monitor and review of compliance of Self Inspection Program. Audit compliance coordination, to compile CAPA and prepare response to Audit report in co-ordination with QA Head and technical team. Execution of requirements for food / Dietary supplements regulations for export market (US)-21 CFR Part 111 Ensuring avoidance of breach of data integrity in area. Implementation of effective sanitation programme in area. Adherence to the requirements of EHS norms. Execution of various initiatives as are suggested by corporate functions. To determine internal and external QEHS issues as well as needs and expectations of relevant interested parties and monitor the same. Qualifications B. Pharm or M. Pharm About Us In the three decades of its existence, Piramal Group has pursued a twin strategy of both organic and inorganic growth. Driven by its core values, Piramal Group steadfastly pursues inclusive growth, while adhering to ethical and values-driven practices. Equal employment opportunity Piramal Group is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, ethnicity, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetics, or other applicable legally protected characteristics. We base our employment decisions on merit considering qualifications, skills, performance, and achievements. We endeavor to ensure that all applicants and employees receive equal opportunity in personnel matters, including recruitment, selection, training, placement, promotion, demotion, compensation and benefits, transfers, terminations, and working conditions, including reasonable accommodation for qualified individuals with disabilities as well as individuals with needs related to their religious observance or practice. About The Team Piramal Pharma Solutions (PPS) is a Contract Development and Manufacturing Organization (CDMO) offering end-to-end development and manufacturing solutions across the drug life cycle. We serve our customers through a globally integrated network of facilities in North America, Europe, and Asia. This enables us to offer a comprehensive range of services including drug discovery solutions, process & pharmaceutical development services, clinical trial supplies, commercial supply of APIs, and finished dosage forms. We also offer specialized services such as the development and manufacture of highly potent APIs, antibody-drug conjugations, sterile fill/finish, peptide products & services, and potent solid oral drug products. PPS also offers development and manufacturing services for biologics including vaccines, gene therapies, and monoclonal antibodies, made possible through Piramal Pharma Limited’s investment in Yapan Bio Private Limited. Our track record as a trusted service provider with experience across varied technologies makes us a partner of choice for innovators and generic companies worldwide. Job Info Job Identification 7876 Job Category Quality Assurance Posting Date 07/18/2025, 06:08 AM Degree Level Bachelor's Degree Job Schedule Full time Locations Piramal Enterprises Limited, Plot no. K-1, Mahad, Maharashtra, 402302, IN

We are seeking a hands-on and forward-thinking Principal or Lead Engineer with deep expertise in Java-based backend development and a strong grasp of Generative AI technologies . You will lead the design, development, and deployment of Gen AI-based solutions, working across data, ML engineering, and software engineering teams to integrate AI capabilities into our core platforms and client-facing products. Responsibilities Lead end-to-end architecture and implementation of Generative AI solutions integrated with Java-based applications Evaluate, fine-tune, and deploy foundational and LLM models (e.g., GPT, LLaMA, Claude, Gemini) for use cases such as code generation, summarization, intelligent assistants, etc. Collaborate with engineers and practice leads to identify and scope high-impact Gen AI use cases Build solutions based on AI models with engineers. Mentor and guide junior engineers and set technical direction across AI initiatives Build scalable APIs and microservices in Java/Spring Boot that interact with AI models Optimize performance and cost of AI solutions in production using prompt engineering, retrieval-augmented generation (RAG), caching, and model selection Contribute to AI model experimentation and evaluation pipelines (OpenAI, Hugging Face, LangChain, etc.) Drive adoption of Gen AI best practices (e.g., guardrails, ethical AI, observability, and feedback loops) Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 10+ years of experience in Java/J2EE/Spring Boot and backend architecture 3+ years of experience working on ML/AI/Gen AI systems, including hands-on work with LLM APIs or open-source models Strong knowledge of modern Gen AI frameworks like LangChain, LlamaIndex, and Vector DBs (e.g., FAISS, Pinecone, Chroma) Experience integrating with LLMs via APIs (OpenAI, Azure OpenAI, Hugging Face) or self-hosted models Working knowledge of Python for AI model orchestration and prototyping Solid understanding of data pipelines, REST APIs, containerization (Docker, Kubernetes), and CI/CD workflows Experience with AWS, GCP, or Azure AI/ML services Nice to have Familiarity with prompt engineering and fine-tuning LLMs using techniques like LoRA or PEFT Experience building RAG-based chatbots, copilots, or AI-powered developer tools Contributions to AI communities, research, or open-source Gen AI projects Strong communication and stakeholder management skills

It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Job Description Machine Learning Engineer – RAG & Fine-Tuning This role requires working from our local Hyderabad office 2-3x a week. Location: Hyderabad, Telangana, India About Abc Fitness ABC Fitness (ABC) is the global market leader in providing technology solutions to the fitness industry. Built on a 40+ year reputation of excellence, ABC helps fitness providers of all sizes and backgrounds to turn their visions into seamless reality. Founded in 1981, ABC serves 40 million+ members globally, processing over $11B+ in payments annually for 31,000 clubs across 92+ countries. Our integrated suite includes best-of-breed platforms: Evo, Glofox, Ignite, and Trainerize. As a Thoma Bravo portfolio company, ABC is backed by the leading private equity firm focused on enterprise software. Learn more at abcfitness.com. About The Team The AI Platform Engineering team at ABC builds scalable, high-performance AI systems that power next-generation fitness technology. We specialize in retrieval-augmented generation (RAG) architectures and fine-tuning methodologies to deliver context-aware, cost-efficient AI solutions. As our Machine Learning Engineer, you will be responsible for all retrieval and intelligence behind the LLM, delivering performant, low-cost, high-context AI features. At ABC, we love entrepreneurs because we are entrepreneurs. We roll our sleeves up, we act fast, and we learn together. What You’ll Do Handle embeddings and chunking strategies to optimize document and data retrieval for GenAI-powered features. Manage vector stores and retrieval workflows using leading vector databases (Pinecone, FAISS, Weaviate, Azure AI Search) to ensure efficient, scalable access to unstructured and structured data. Fine-tune small and large language models using frameworks such as HuggingFace and OpenAI APIs, tailoring models to domain-specific requirements and improving performance on targeted tasks. Optimize cost and reduce latency by implementing best practices for token management, model evaluation, and cloud resource utilization. Collaborate with engineering, product, and data teams to integrate RAG pipelines into production systems, ensuring reliability, scalability, and security. Stay up-to-date with the latest advancements in retrieval-augmented generation, vector search, and LLM fine-tuning, applying new techniques to improve system performance and user experience. What You’ll Need 4–7 years of experience in machine learning or AI engineering, with a proven track record in RAG, vector search, and LLM fine-tuning. Deep expertise with vector databases such as Pinecone, FAISS, Weaviate, or Azure AI Search, including experience designing retrieval workflows and managing embeddings. Familiarity with HuggingFace and OpenAI fine-tuning APIs, and strong understanding of chunking strategies for optimizing retrieval. Proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow) and cloud platforms (AWS, Azure). Understanding of token management, evaluation tuning, and cost optimization for large-scale AI deployments. Strong problem-solving skills, a collaborative mindset, and the ability to communicate complex technical concepts to both technical and non-technical stakeholders. AND IT’S GREAT TO HAVE Experience with NLP, NLU, and NLG techniques for conversational AI or information retrieval. Exposure to ML Ops tools for model monitoring, evaluation, and deployment (ML flow, Weights & Biases). Experience with model compression, quantization, or other efficiency techniques. Certifications in AWS Machine Learning Specialty or Microsoft AI Engineer. WHAT’S IN IT FOR YOU: Purpose led company with a Values focused culture – Best Life, One Team, Growth Mindset Time Off – competitive PTO plans with 15 Earned accrued leave, 12 days Sick leave, and 12 days Casual leave per year 11 Holidays plus 4 Days of Disconnect – once a quarter, we take a collective breather and enjoy a day off together around the globe. #oneteam Group Mediclaim insurance coverage of INR 500,000 for employee + spouse, 2 kids, and parents or parent-in-laws, and including EAP counseling Life Insurance and Personal Accident Insurance Best Life Perk – we are committed to meeting you wherever you are in your fitness journey with a quarterly reimbursement Premium Calm App – enjoy tranquility with a Calm App subscription for you and up to 4 dependents over the age of 16 Support for working women with financial aid towards crèche facility, ensuring a safe and nurturing environment for their little ones while they focus on their careers. We’re committed to diversity and passion, and encourage you to apply, even if you don’t demonstrate all the listed skillsets! ABC’S COMMITMENT TO DIVERSITY, EQUALITY, BELONGING AND INCLUSION: ABC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are intentional about creating an environment where employees, our clients and other stakeholders feel valued and inspired to reach their full potential and make authentic connections. We foster a workplace culture that embraces each person’s diversity, including the extent to which they are similar or different. ABC leaders believe that an equitable and inclusive culture is not only the right thing to do, it is a business imperative. Read more about our commitment to diversity, equality, belonging and inclusion at abcfitness.com ABOUT ABC: ABC Fitness (abcfitness.com) is the premier provider of software and related services for the fitness industry and has built a reputation for excellence in support for clubs and their members. ABC is the trusted provider to boost performance and create a total fitness experience for over 41 million members of clubs of all sizes whether a multi-location chain, franchise or an independent gym. Founded in 1981, ABC helps over 31,000 gyms and health clubs globally perform better and more profitably offering a comprehensive SaaS club management solution that enables club operators to achieve optimal performance. ABC Fitness is a Thoma Bravo portfolio company, a private equity firm focused on investing in software and technology companies (thomabravo.com). If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Job Title:AI/ML Engineer / Data Scientist - with Databricks focus Experience: 8+Years Work type: Remote (India) Key Responsibilities: • Develop, deploy, and maintain scalable MLOps pipelines for both traditional ML and Generative AI use cases leveraging Databricks (Unity Catalog, Delta Tables, Inference Tables, Mosaic AI). • Operationalize large language models (LLMs) and other GenAI models, ensuring efficient prompt engineering, fine-tuning, and serving. • Implement model tracking, versioning, and experiment management using MLflow. • Build robust CI/CD pipelines for ML and GenAI workloads to automate testing, validation, and deployment to production. • Use Vertex AI to manage training, deployment, and monitoring of ML and GenAI models in the cloud. • Integrate high-quality, governed data pipelines that enable ML and Generative AI solutions with strong lineage and reproducibility. • Design and enforce AI Governance frameworks covering model explainability, bias monitoring, data access, compliance, and audit trails. • Collaborate with data scientists and GenAI teams to productionize prototypes and research into reliable, scalable products. • Monitor model performance, usage, and drift — including specific considerations for GenAI systems such as hallucination checks, prompt/response monitoring, and user feedback loops. • Stay current with best practices and emerging trends in MLOps and Generative AI. Key Qualifications: Must Have Skills: • 3+ years of experience in MLOps, ML Engineering, or related field. • Hands-on experience with operationalizing ML and Generative AI models in production. • Proficiency with Databricks (Unity Catalog, Delta Tables, Mosaic AI, Inference Tables). • Experience with MLflow for model tracking, registry, and reproducibility. • Strong understanding of Vertex AI pipelines and deployment services. • Expertise in CI/CD pipelines for ML and GenAI workloads (e.g., GitHub Actions, Azure DevOps, Jenkins). • Proven experience in integrating and managing data pipelines for AI, ensuring data quality, versioning, and lineage. • Solid understanding of AI Governance, model explainability, and responsible AI practices. • Proficiency in Python, SQL, and distributed computing frameworks. • Excellent communication and collaboration skills. Nice to Have: • Experience deploying and monitoring Large Language Models (LLMs) and prompt-driven AI workflows. • Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG) architectures. • Infrastructure-as-Code experience (Terraform, CloudFormation). • Experience working in regulated industries (e.g., finance, Retail) with compliance-heavy AI use cases.

Multiversity was founded in 1998, at the threshold of the new century, to advance the application of Information Technology in areas of Education, Governance and Services. It has made significant contributions in each. Multiversity has created Technologies and Services for the emerging knowledge-based society. Millions of users have used our products and services, underlining our commitment to develop world-class Technologies and Solutions. Multiversity also works closely with various Government, Semi-Government and local Self-Government bodies all over India in the areas of e-Learning, e-Governance and e-Services and has successfully completed projects having large-scale social implications. eLearning Content Development :Multiversity Pvt. Ltd Multiversity develops eLearning Content for one of the world’s largest Digital Literacy Mission under Maharashtra Knowledge Corporation Limited (MKCL), which has reached over 10 Million Learners in the past 15 years in Maharashtra, Odisha, Haryana, Rajasthan, and Bihar also delivered to Other Countries like Saudi Arabia, Egypt and SriLanka. The courses include titles like IT Literacy, Adobe Suite, Financial Accounting, Desktop Publishing, Web Designing, 2D Animation, Video Editing, Scratch programming, etc. – all created to empower the citizens of India and help them become job ready. Multiversity has developed these courses in English, Hindi, Marathi and other Indian Languages like Oriya, Kannada, and Telugu along with international languages like Arabic, Malay & Sinhalese. Multiversity also develops customer eLearning solutions to help organisation globally bridge the gap between a learners potential and performance. Multiversity has built 1,200+ hours of eLearning content over 15 years reaching 11+ million Learners at 100+ organizations . Recently Multiversity won the Excellence in the production of learning content award. Multiversity Chief-Mentor: Dr. Vijay P Bhatkar, ( www.vijaypbhatkar.org ) Responsibilities [Be specific when describing each of the responsibilities. Use gender-neutral, inclusive language.] Example: Determine and develop user requirements for systems in production, to ensure maximum usability Qualifications As a Quality Analyst Executive, you should be able to check quality and accuracy of an eLearning course with respect to the following aspects: Audio & Transcript: Verify that quality of audio production is acceptable. Confirm that voice talent reads the storyboard accurately with proper inflection, speed, pronunciation etc. Confirm that text transcript is formatted as per standards. Go through the complete course by listening to the audio and reading the transcript to confirm perfect synchronization. Visuals and Timing: Verify that graphics are as per standards and conform to the approved storyboard. Confirm that on-screen text is formatted properly. Check for spelling and grammar. Verify that visuals fade in/out in sync with the audio appropriately. Interactivities: Ensure that a test key containing answers to all knowledge checks, activities, and quizzes is included. Try failing and then passing all activities and test as many different cases as possible in an attempt to identify possible flaws/errors in programming. Confirm that activities function as described in the storyboard. Confirm that feedback functions properly (incorrect/correct). Ensure that click-to reveal items function properly and check that audio does not overlap (when multiple audio tracks are layered on a single slide). Browsers: Test the course in the various browsers that you expect your learners to use. Major browsers include IE, Firefox, Safari, Chrome. Player Menu Items: Test all player menu items to confirm that they function as desired including (if applicable) glossary, search, seek bar, volume control, etc. LMS Testing: Confirm the following Course uploads to the LMS without errors Course can be assigned to a test user(s) Course shows up in the test user account as “not started” or equivalent Start and close the course. Confirm that the LMS now displays the course as “in progress” or equivalent. Restart the course and confirm that the course returns you to the page last visited (bookmark). Fail the course (if applicable) and verify that the LMS recorded this appropriately Pass the course and verify that the LMS shows the course as complete (or equivalent) Candidate Profile Skills, Knowledge and Abilities: Proof reading skills Great attention to detail Strong understanding of Windows and Microsoft Office Ability to remain consistent and committed to tasks assigned Strong organizational skills Excellent verbal and written communication skills Excellent analytical and problem-solving skills Cross functional cooperating skills Strong technical learning ability Time management skills Flexibility related to workflow and changing priorities Ability to maintain data confidentiality and security Experience with web-based database search and retrieval techniques Ability to balance multiple projects concurrently in a fast-paced, deadline-driven environment Qualifications Bachelors/Master degree in Computer Science or comparable work experience 2+ years’ experience in Quality Analysis

Job Title: Principal AI/ML Engineer Location: Baner, Pune (Onsite) Employment Type: Full-Time, Employee Experience Required: 10+ Years Compensation: ₹40 LPA – ₹50 LPA About the Role: We are seeking a highly skilled and experienced Principal AI/ML Engineer to join our growing team in Pune. In this senior role, you will drive the design, development, and deployment of cutting-edge AI-powered products and solutions. If you are passionate about building production-grade AI/ML systems and enjoy tackling complex problems at scale, we’d love to talk to you. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models to solve complex business problems and enhance product functionality. Build and deploy personalized Large Language Models (LLMs). Develop document parsing, named entity recognition (NER), Retrieval-Augmented Generation (RAG), chatbot, and document management systems. Create robust data and ML pipelines to ensure production-scale reliability and performance. Optimize and fine-tune machine learning models for scalability, accuracy, and efficiency (including hyperparameter tuning and model optimization). Write high-quality, production-ready code using frameworks like PyTorch or TensorFlow . Stay abreast of the latest AI/ML research, tools, and methodologies and apply best practices in development. Collaborate closely with stakeholders to understand business requirements and deliver solutions that create tangible business value. Required Qualifications: Bachelor’s or Master’s Degree in Computer Science , Data Science , Computational Linguistics , Natural Language Processing (NLP) , or a related field. 10+ years of hands-on experience in developing and deploying machine learning models and algorithms. Strong experience with AI/ML frameworks such as TensorFlow , PyTorch , and scikit-learn . Proficiency in Python , with additional experience in Java or C++ for AI/ML integration. Experience with spacy , NLTK , knowledge graphs , and advanced NLP techniques. Experience with search and information retrieval , including Elasticsearch and relevance tuning. Hands-on experience fine-tuning models from Hugging Face . Familiarity with Agentic AI frameworks like LangChain , LangGraph , AutoGen , or Crew AI . Experience in building APIs using web frameworks such as FastAPI , Flask , or Django . Solid background in Data Science and MLOps , with experience in containerization ( Docker ) and orchestration ( Kubernetes ) for deployment. Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML deployment tools. Strong communication and collaboration skills, with the ability to work independently and as part of a dynamic team. Preferred / Nice to Have: Experience with open source LLMs, Generative AI (GenAI), ChatGPT integrations. Familiarity with Azure AI Services and Microsoft Copilot .

Hiring For AI Enginner - Python Developer :- Job Description:- We are seeking a talented Python Developer with hands-on experience in AI chatbot development and familiarity with Model Context Protocol (MCP) to join our AI team. You will be responsible for developing intelligent, context-aware conversational systems that integrate seamlessly with our internal knowledge base and enterprise services. The ideal candidate is technically proficient ,proactive, and capable of translating complex AI interactions into scalable backend solutions. Key Responsibilities 1. Design and develop robust AI chatbots using Python and integrate them with LLM APIs(e.g., OpenAI, Google AI, etc.). 2. Implement and manage Model Context Protocol (MCP) for optimize context injection, session management, and model-aware interactions. 3.Build and maintain secure pipelines for knowledge base access that allow the chatbot to accurately respond to internal queries. 4.Work with internal teams to define and evolve the contextual metadata strategy (roles, user state, query history, etc.). 5.Contribute to internal tooling and framework development for contextual AI applications. Required Skills & Experience 1. 3+ years of professional Python development experience. 2. Proven track record in AI chatbot development, particularly using LLMs. 3. Understanding of Model Context Protocol (MCP) and its role in enhancing AI interactionfidelity and relevance. 4. Strong experience integrating with AI APIs (e.g., OpenAI, Azure OpenAI). 5. Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector-basedsearch (e.g., Pinecone, Weaviate, FAISS). 6. Experience designing systems that ingest and structure unstructured knowledge (e.g., PDF,Confluence, Google Drive docs). 7. Comfortable working with RESTful APIs, event-driven architectures, and context-awareservices.8.Good understanding of data handling, privacy, and security standards related to enterpriseAI use. Job Location: Indore Joining: Immediate Share resume at talent@jstechalliance.com or can Contact Here :- 0731-3122400 WhatsApp : 8224006397 Job Type: Full-time Application Question(s): Immediate Joiner Have you completed your Bachelor's\Master's Degree? Experience: Python: 3 years (Required) Model Context Protocol (MCP): 3 years (Required) LLM APIs: 3 years (Required) Artificial Intelligence: 2 years (Required) Location: Vijay Nagar, Indore, Madhya Pradesh (Required) Work Location: In person

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About Yubi Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any and all capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset based securitization Spocto - Debt recovery & risk mitigation platform Corpository - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises So far, we have on-boarded over 17000+ enterprises, 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story. Job Summary: We are looking for a highly skilled Data Scientist (LLM) to join our AI and Machine Learning team. The ideal candidate will have a strong foundation in Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) , along with hands-on experience in building and deploying conversational AI/chatbots . The role requires expertise in LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph . You will work closely with cross-functional teams to drive the development and enhancement of AI-powered applications. Key Responsibilities: Develop, fine-tune, and deploy Large Language Models (LLMs) for various applications, including chatbots, virtual assistants, and enterprise AI solutions. Build and optimize conversational AI solutions with at least 1 year of experience in chatbot development. Implement and experiment with LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph . Design and develop ML/DL-based models to enhance natural language understanding capabilities. Work on retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to enhance LLM-based applications. Optimize and fine-tune transformer-based models such as GPT, LLaMA, Falcon, Mistral, Claude, etc. for domain-specific tasks. Develop and implement prompt engineering techniques and fine-tuning strategies to improve LLM performance. Work on AI agents, multi-agent systems, and tool-use optimization for real-world business applications. Develop APIs and pipelines to integrate LLMs into enterprise applications. Research and stay up to date with the latest advancements in LLM architectures, frameworks, and AI trends . Requirements Required Skills & Qualifications: 3-5 years of experience in Machine Learning (ML), Deep Learning (DL), and NLP-based model development. Hands-on experience in developing and deploying conversational AI/chatbots is Plus Strong proficiency in Python and experience with ML/DL frameworks such as TensorFlow, PyTorch, Hugging Face Transformers . Experience with LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph . Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and embedding models . Understanding of Prompt Engineering and Fine-tuning LLMs . Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale. Experience in working with APIs, Docker, FastAPI for model deployment. Strong analytical and problem-solving skills. Ability to work independently and collaboratively in a fast-paced environment. Good to Have: Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.) . Knowledge of Knowledge Graphs and Symbolic AI . Understanding of MLOps and LLMOps for deploying scalable AI solutions. Experience in automated evaluation of LLMs and bias mitigation techniques . Research experience or published work in LLMs, NLP, or Generative AI is a plus. Why Join Us? Opportunity to work on cutting-edge LLM and Generative AI projects . Collaborative and innovative work environment. Competitive salary and benefits. Career growth opportunities in AI and ML research and development.

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Title: Technical Consultant When you join us at Thermo Fisher Scientific, you’ll be part of a hard-working team that shares your passion for exploration and discovery. Thermo Fisher recognizes that digital enablement has the power to change the way our customers work — providing them with unmatched capabilities for digital science execution, commerce, and services and to drive efficiency and ultimately power science. How will you make an impact? Thermo Fisher is seeking a new colleague who is passionate about customer experience, is technologically savvy, and has a passion for the digitization of science. The vision of Digital Science Solutions is to make it easy for scientific customers to digitize their research, development, and manufacturing lab operations. The Technical Consultant will be responsible for providing guidance, support, and implementation services related to Digital Sciences Solutions products such as LIMS, ELN, LES, SDMS, and other enterprise applications. You will work closely with clients to understand their laboratory processes and requirements, design solutions, perform system implementation tasks, and provide ongoing support and training to users. Your experience in configuration, data management, laboratory workflows, and regulatory compliance will contribute to the successful implementation and utilization of Digital Sciences solutions in various laboratory environments. Essential Duties and Responsibilities: Strategic: Trusted advisor to our customers, global account managers, services leaders, product managers, and delivery teams. Maintain and assume accountability for a culture of high customer service. Position Thermo Fisher Digital Science as a leader in life and laboratory science digitalization through successful delivery. Work with broader organization to achieve business objectives, expand multi-functional client engagements. Effectively share knowledge to help build a world-class digital solutions consulting and implementation team, working closely with global services leaders. Provide feedback to product management and engineering to rapidly advance our product capabilities to meet customer needs and expectations. Contribute to 3rd party technology, product, and solution evaluations in the context of our portfolio. Operational: Collaborate with clients, business analysts, project managers, and solution architects to understand their laboratory information management needs, workflows, and regulatory compliance requirements. Develop and document comprehensive solutions based on the gathered requirements, including system configuration, customizations, and integration with other laboratory systems. Participate in the implementation of enterprise laboratory solutions, ensuring that they are configured and customized correctly to meet client specifications and industry standard methodologies. Define data management strategies, including data mapping, migration, and validation, to ensure accurate and reliable data entry, storage, and retrieval within the solution. Assess laboratory workflows and find opportunities for process improvement and automation. Develop and execute test plans to ensure the system meets functional and performance requirements. Conduct user training sessions and provide ongoing support to laboratory staff, addressing questions, resolving issues, and ensuring effective system utilization. Prepare detailed user documentation, including system requirements, design specifications, user manuals, and standard operating procedures (SOPs). Work closely with multi-functional teams, including software developers, quality assurance analysts, and laboratory personnel, fostering effective collaboration and communication. Remain current with relevant industry regulations and guidelines (e.g., FDA, ISO) and ensure that the implemented solutions align with these standards. Contribute to improving processes, ensuring compliance, and driving improvements. Provide recommendations into planning, resource allocation, management, tracking, and reporting on all aspects of customer engagements. Participate in team and customer meetings delivering engaging, informative presentations both to internal and external audiences. Travel, as needed, for internal and customer meetings. Culture: In line with the 4I values of Integrity, Intensity, Innovation, and Involvement, that form the foundation of the Thermo Fisher culture and ways of working, this role will bring intensity, innovation, and a high degree of involvement to designing, proposing, and delivering on Digital Science platform solutions. Business Partnership: Working collaboratively with Digital Science and broader Thermo Fisher colleagues to create and sustain a culture of delivering excellent customer experience, embracing continuous learning, leading with digital innovation, analytical thinking, and managing complexity. Knowledge, Skills, And Abilities Knowledge of enterprise laboratory software platforms, such as LIMS, ELN, LES, SDMS, CDS, or similar systems. Understanding of laboratory processes, data management principles, and laboratory workflows in various domains (e.g., pharmaceutical, biotechnology, manufacturing). Familiarity with regulatory requirements and compliance standards relevant to laboratory operations (e.g., FDA 21 CFR Part 11, ISO 17025, GLP, GMP). Experience with relational databases – Oracle, SQL Server, Postgres. Knowledge of cloud services and infrastructure highly desirable. Excellent problem-solving skills and ability to analyze complex business requirements and translate them into solutions. Demonstrated experience delivering in a matrix, global environment, across internal and external resources. Understanding of IT processes, SDLC methodologies, Quality Management Systems, and knowledge of regulatory landscape, with preference for experience in delivering and supporting validated systems. Superb communication and interpersonal skills, integrity, and credibility. Results focused, with attention to detail and a concern for quality. Planning, prioritizing, reporting, problem solving and analytical capabilities. Collaborative, initiates and facilitates communications and relevant information sharing, and works with different functions to achieve the best outcomes. Ability to exercise judgment and discretion concerning critical, confidential, and proprietary information. Flexibility in work schedule to accommodate communications with global team. Able to innovate and bring ideas forward and advance issues and risks in a positive way. Minimum Education And Experience Requirements Bachelor’s or master's degree in IT, IS, Engineering, Life Sciences, or equivalent. At least 2-5 years of relevant experience in life sciences technical and business consulting with medium and large customers in the life and laboratory sciences industry, specifically, developing and deploying solutions catering to one or more areas of discovery, research, development, or manufacturing. Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing efficiency in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team of more than 100,000 colleagues delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD. Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status. Apply today http://jobs.thermofisher.com

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: 2025-07-02 Location: Hyderabad, Telangana, India

Position: AI + Backend Engineer Location: Gurugram Experience Required: 7–8+ years We are looking for a highly capable and innovative AI + Backend Engineer to join our dynamic team in Gurugram. The ideal candidate should bring in-depth experience working with Large Language Models (LLMs), Natural Language Processing (NLP), and intelligent agent frameworks, combined with solid backend development skills. This role requires a strong grasp of machine learning operations, API-centric architectures, and distributed systems. Role & Responsibilities: Design and develop advanced AI solutions leveraging LLMs for tasks like content generation, entity extraction, summarization, and intelligent agent development. Fine-tune and implement models for dense retrieval, question answering, and semantic search use cases. Build and maintain high-performance backend systems and RESTful APIs that support AI model integration. Use vector databases and embedding-based retrieval methods to enhance model outputs (e.g., Pinecone, FAISS, Weaviate). Apply Retrieval-Augmented Generation (RAG) frameworks to support dynamic and context-aware responses. Work closely with ML engineers and researchers to streamline model training, deployment, and optimization processes. Monitor and enhance the performance of deployed models and inference pipelines in production environments. Set up and manage end-to-end data pipelines for preprocessing, training, and deployment workflows. Stay abreast of the latest research and industry developments in the field of LLMs, NLP, and AI agents to continuously improve solutions. Key Requirements: 7–8+ years of experience in AI/ML systems development and backend engineering, with a strong focus on NLP and LLM-based systems. Expertise in Python and deep learning libraries such as PyTorch, TensorFlow, and Hugging Face Transformers. Strong experience in model fine-tuning, prompt engineering, and building intelligent agent-based applications. Practical knowledge of working with vector databases and retrieval mechanisms. Proficiency in building and scaling backend platforms using frameworks like FastAPI, Flask, or Django. Solid experience with cloud platforms like AWS, Google Cloud Platform, or Azure for AI deployment. Skilled in using Docker, Kubernetes, and related tools for model containerization and orchestration. Familiarity with MLOps practices, CI/CD pipelines, and model version control. Excellent analytical, debugging, and communication skills, with the ability to work effectively in agile, cross-functional teams.

Job Title: AI Agent Engineer 📍 Location: Gurugram (Only Delhi NCR-based candidates will be shortlisted) 🕒 Experience Required: Exactly 1 year in AI agent development 🚀 Joining: Immediate joiners preferred 📧 Apply at: hr@rbhargavaassociates.com 📞 Contact: 97739 86106 About the Role We are seeking a highly motivated and skilled AI Agent Engineer to join our team in Gurugram. This role is ideal for individuals with exactly 1 year of hands-on experience in building intelligent agents using LLMs, LangChain, RAG systems, and prompt-based workflows. If you’re passionate about AI automation, this is a perfect opportunity to build and deploy AI systems that drive real business impact. Key Responsibilities Design, build, and deploy intelligent AI agents for multi-step reasoning and task automation. Implement Retrieval-Augmented Generation (RAG) workflows using vector databases such as FAISS or Pinecone. Use LangChain or LlamaIndex to create agentic logic and orchestrated flows. Engineer effective, scalable prompts for LLM-based automation. Integrate agents with external APIs, tools, or services for real-world applications. Monitor, test, and optimize agent performance continuously. Required Skills Exactly 1 year of practical experience in AI agent development or LLM-based workflow automation. Strong command of Python and LLM frameworks like LangChain, OpenAI API, or equivalents. Experience with RAG systems, vector embeddings, and semantic search using FAISS, Pinecone, or similar tools. Deep understanding of LLM behavior, token limits, and prompt tuning. Proficiency in prompt engineering for task-specific scenarios. Familiarity with integrating APIs and external tools. Who Can Apply? This role is suited for candidates with hands-on experience in: ✅ AI/ML Engineering ✅ Backend or Python development with LLM exposure ✅ Prompt Engineering ✅ NLP & Data Science with embeddings/vector DBs ✅ Project-based experience in AI agent development ⚠️ Location restriction: Only candidates from Delhi NCR (Gurugram/Delhi) will be considered. 🛑 Applicants from other locations will not be shortlisted. Educational Qualification Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field. Practical exposure or certifications in LLMs, Agentic AI, LangChain, or Generative AI is a plus. Why Join Us? Work on real-world applications of intelligent agents. Be part of a tech-forward, innovation-led team. Immediate growth opportunities in a fast-evolving AI space. 📢 Interested? Send your resume to: ✉️ hr@rbhargavaassociates.com 📞 97739 86106

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About Yubi Yubi, formerly known as CredAvenue, is redefining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plentiful, and we equip you with the tools to seize them. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest, and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset-based securitization Spocto - Debt recovery & risk mitigation platform Accumn - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals, and Predictions to Lenders, Investors, and Business Enterprises So far, we have onboarded over 17,000+ enterprises and 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed, and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come join the club to be a part of our epic growth story. About The Job Job Title: Data Scientist 2 (LLM/GenAI) Location: Bangalore Experience: 2 - 4 years Employment Type: Full-time Job Summary: We seek a highly skilled Data Scientist (LLM) to join our AI and Machine Learning team. The ideal candidate will have a strong foundation in Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) , along with hands-on experience in building and deploying conversational AI/chatbots . The role requires expertise in LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph . You will work closely with cross-functional teams to drive the development and enhancement of AI-powered applications. Key Responsibilities: Develop, fine-tune, and deploy Large Language Models (LLMs) for various applications, including chatbots, virtual assistants, and enterprise AI solutions. Build and optimize conversational AI solutions with at least 1 year of experience in chatbot development. Implement and experiment with LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph . Design and develop ML/DL-based models to enhance natural language understanding capabilities. Work on retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to enhance LLM-based applications. Optimize and fine-tune transformer-based models such as GPT, LLaMA, Falcon, Mistral, Claude, etc., for domain-specific tasks. Develop and implement prompt engineering techniques and fine-tuning strategies to improve LLM performance. Work on AI agents, multi-agent systems, and tool-use optimization for real-world business applications. Develop APIs and pipelines to integrate LLMs into enterprise applications. Research and stay up-to-date with the latest advancements in LLM architectures, frameworks, and AI trends . Requirements Required Skills & Qualifications: 2-4 years of experience in Machine Learning (ML), Deep Learning (DL), and NLP-based model development. Hands-on experience in developing and deploying conversational AI/chatbots is Plus Strong proficiency in Python and experience with ML/DL frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers . Experience with LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph . Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and embedding models . Understanding of Prompt Engineering and Fine-tuning LLMs . Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale. Experience in working with APIs, Docker, FastAPI for model deployment. Strong analytical and problem-solving skills. Ability to work independently and collaboratively in a fast-paced environment. Good to Have: Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.) . Knowledge of Knowledge Graphs and Symbolic AI . Understanding of MLOps and LLMOps for deploying scalable AI solutions. Experience in automated evaluation of LLMs and bias mitigation techniques . Research experience or published work in LLMs, NLP, or Generative AI is a plus. Benefits Why Join Us? This is an opportunity to work on cutting-edge LLM and Generative AI projects . Collaborative and innovative work environment. Competitive salary and benefits. Career growth opportunities in AI and ML research and development.

Ready to embark on a journey where your growth is intertwined with our commitment to making a positive impact? Join the Delphi family - where Growth Meets Values. At Delphi Consulting Pvt. Ltd. , we foster a thriving environment with a hybrid work model that lets you prioritize what matters most. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset . We specialize in Data, Advanced Analytics, AI, Infrastructure, Cloud Security , and Application Modernization , delivering impactful solutions that drive smarter, efficient futures for our clients. About the Role: We are looking for a highly skilled Lead Data Engineer with strong expertise in Microsoft Azure and a deep understanding of the healthcare domain to join our team. You will play a key role in designing, building, and maintaining scalable, secure, and efficient data pipelines and analytics solutions to support critical healthcare data initiatives. What you'll do: Design and implement end-to-end data solutions on the Microsoft Azure platform , including ingestion, storage, processing, and visualization. Build and manage robust data pipelines and ETL processes using Azure Data Factory , Azure Databricks , and related services. Ensure data security , privacy , and compliance with healthcare regulations (e.g., HIPAA, GDPR). Optimize data storage and retrieval for performance, scalability, and cost-efficiency using Azure Blob Storage , Azure SQL Database , Azure Data Lake Storage , etc. Design and implement data models, schemas, and structures tailored for analytics and reporting. Collaborate with data scientists and analysts by providing well-organized, clean, and reliable datasets. Set up monitoring and alerting mechanisms to maintain data quality, availability, and reliability. Work closely with cross-functional teams to translate complex business requirements into scalable technical solutions. Troubleshoot and resolve performance issues or data-related challenges quickly and effectively. Stay current with emerging Azure data services, technologies, and best practices, and make recommendations for improvements. What you'll bring: Proven hands-on experience with Azure data services including: Azure Data Factory Azure Databricks Azure SQL Database Azure Synapse Analytics Azure Data Lake Storage Proficiency in Python , SQL , or Scala . Strong understanding of data modeling , data warehousing , and ETL pipelines . Previous experience handling healthcare datasets or working on projects in the healthcare domain is highly desirable. Knowledge of healthcare data standards (HL7, FHIR, ICD codes) is a plus. Familiarity with big data technologies such as Hadoop , Spark , or Kafka is an added advantage. Strong analytical, problem-solving, and troubleshooting abilities. Excellent communication skills with a collaborative mindset. What We Offer: At Delphi, we are dedicated to creating an environment where you can thrive, both professionally and personally. Our competitive compensation package, performance-based incentives, and health benefits are designed to ensure you're well-supported. We believe in your continuous growth and offer company-sponsored certifications, training programs , and skill-building opportunities to help you succeed. We foster a culture of inclusivity and support, with remote work options and a fully supported work-from-home setup to ensure your comfort and productivity. Our positive and inclusive culture includes team activities, wellness and mental health programs to ensure you feel supported.

The Role- As an AI Engineer , you will be responsible for building and optimizing AI-first solutions that power BotPenguin’s conversational and Agentic capabilities. You will work on LLM integrations, NLP pipelines, and machine learning models, while collaborating with cross-functional teams to deliver intelligent experiences at scale. This is a high-impact role that combines engineering, research, and deployment skills to solve real-world problems using artificial intelligence. What you need for this role- Education: Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. Experience: 2–5 years of experience working in AI/ML or related software engineering roles. Technical Skills: Strong proficiency in Python and libraries such as scikit-learn, PyTorch, TensorFlow, Transformers (Hugging Face). Hands-on experience with LLMs (OpenAI, Claude, LLaMA) and building AI agents using API integrations. Experience working with NLP tasks (intent classification, text generation, embeddings, summarization). Familiarity with Vector Databases like Pinecone, FAISS, Elastic Vector DB. Understanding of Prompt Engineering, RAG (Retrieval-Augmented Generation), and embedding generation. Proficiency in building and deploying ML models via Docker/Kubernetes or cloud services like AWS/GCP. Experience with version control systems (GitLab/GitHub) and working in Agile teams. Soft Skills: Strong analytical thinking and problem-solving capabilities. Passion for research, innovation, and applying AI to real-world use-cases. Excellent communication skills and the ability to collaborate across departments. Attention to detail with a focus on model accuracy, explainability, and performance. What you will be doing- Design, build, and optimize AI-powered chatbot features and virtual agents using state-of-the-art models. Collaborate with the Product, Backend, and UI teams to integrate intelligent workflows into the BotPenguin platform. Build, evaluate, and fine-tune language models and NLP components tailored to user use-cases. Implement context-aware chat solutions using embeddings, vector stores, and retrieval mechanisms. Create internal tools for prompt testing, versioning, and debugging AI responses. Monitor model performance metrics such as latency, hallucination rate, and user satisfaction. Explore research papers, open-source innovations, and contribute to rapid experimentation. Write clean, modular, and testable code along with clear documentation for future scalability. Any other development related tasks as required for BotPenguin. Guiding, reviewing the code written by junior members in the team. Top reasons to work with us- Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹300,000.00 - ₹800,000.00 per year Benefits: Flexible schedule Health insurance Provident Fund Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: AI: 2 years (Required) Work Location: In person

About this role : In Gartner’s Services Data Science team, we innovate the way our team helps clients receive value, so technology leaders will be able to make smarter decisions in a different way. We are searching for a talented associate data scientist to join our team. You will have access to the best facilities, technology and expertise within the industry and will work on challenging business problems. This is an excellent opportunity to be part of a new venture, in a start-up environment where you can truly develop your skill set and knowledge and bring impact to the team. What you’ll do : Here is a sample of some initiatives that our associate data scientists work on Designing and implementing state of the art Large Language Model (LLM) based agents that seamlessly synthesize complex information and initiate important actions in a business workflow. Using NLP models and advanced Generative AI techniques to derive actionable insights from unstructured text data, such as call transcripts and emails. Evaluating the performance of the models, continuously optimizing them for better accuracy and relevance Building various recommendation tools like client interest predictor and personalized content recommenders to drive higher client value delivery Develop customer churn prediction models that proactively identify at-risk clients, leverage statistical and machine learning techniques to extract actionable insights from client retention data. Build tools to process structured and unstructured data Engineering features and signals to train ML model from diverse data collection Collaborate with cross-functional teams to integrate data science solutions into existing systems and user workflows, ensuring seamless data accessibility and usability. What you’ll need : BS/MS/PhD in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus) 1+ years’ experience in data science methodologies as applied to live initiatives or software development 1+ years of experience in python coding and statistical analysis Working experience in several of the following: Prompt Engineering and working with LLMs Machine Learning and statistical techniques Data mining and recommendation systems Natural Language Processing and Information Retrieval Handling large volumes of data User behavior modeling What we offer : A collaborative, positive culture. You’ll work with people who are as enthusiastic, smart and driven as you are. You’ll be managed by the best too. Limitless growth and learning opportunities. We offer the excitement of a fast-paced entrepreneurial workplace and the professional growth opportunities of an established global organization. #L1-AV2 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work . What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com . Job Requisition ID:101637 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Graduation with experience in the field of Security, Loss Prevention, Shrinkage, Asset Protection, Investigations, Inventory University degree level or equivalent through experience and professional certification. The India Security and Loss Prevention (INSLP) team is responsible for leading the effort to efficiently and effectively provide security services and asset (lives, buildings, equipment, inventory, data, and intellectual property) protection in a designated area of responsibility. Amazon's LP and shrink reduction efforts are supported by the World Wide Operations Security (WWOS) team through the creation of an overall global strategy designed to optimize resources and leverage technology to mitigate product loss and maintain customer satisfaction. The Fulfillment Centers are at the heart of our rapidly growing business: they’re where we manage our fast-moving inventory. Our Fulfillment Center teams stow deliveries, pick products, package them up and ship them out: each of these groups have played their part in taking us to where we are today. You’ll join a Fulfillment Center as a member of the senior management team, where you’ll manage, coordinate and implement all aspects of our loss prevention strategy. Your mission: Loss exposure and loss controls analysis, Loss investigation, and when necessary, theft investigation, Physical security systems and controls, Contracting guard services, Workplace violence mitigation, Loss prevention education and awareness, Thorough loss prevention audit programs. Day-to-day responsibilities: Therefore, you’ll understand the critical importance you will play in your Fulfillment Center’s Loss Prevention Programme. Alongside the above points, you will manage and drive your Fulfillment Center’s compliance with all corporate loss prevention standards: Effectively partner with operations and support functions, in evaluating current and future business processes and initiatives, You’ll identify, develop and implement additional loss prevention strategies to meet the unique needs of your assigned Fulfillment Center, Function as part of a team of Loss Prevention Managers: together you’ll proactively pursue improvements to company-wide loss prevention efforts, Perform interior and exterior loss prevention audits of your Fulfillment Center and off-site facilities, while proactively dealing with any kind of security issue that is raised, Monitor your Fulfillment Center in terms of ongoing compliance with Amazon’s security policies, Perform various loss prevention inspections, audits, and investigations as required, Encourage and promote loss prevention within the workforce, by exercising integrity and ethical methods, Positively represent the Amazon Security/Loss Prevention department through public relations and customer service; set a personal example of the highest level, Demonstrate knowledge of Fulfillment Centers best practices at loss prevention, such as: The application of physical security systems, The investigation techniques and laws of arrest, The management of contract guard agencies, Effective transportation/supply chain loss mitigation techniques, Conduct new hire orientation and training in your loss prevention strategy, Be able to work and travel as and when required by business need Key job responsibilities Key job responsibilities at FC are: 1. Review process lapse & Monitor losses Ø Conduct Investigations & retrieval plan Ø Analysis Trend of each site & initiate corrective measures in line to control losses Ø Surprise visits to allotted sites Ø Manage SLP related escalations & incidents 2. Audits/Certifications Ø Keeping the plans & SOPs updated Ø Periodical Check of Documentation Ø Preparation of Documents for Internal & External 3. Audits Ø Surprise Check and reports 4. Process Improvement & Loss Prevention Program Ø Process Review & Necessary Improvements Ø Process Improvisation Ø Quarterly Assessment Ø Loss Prevention Report Ø Feed backs from Shop Floors Ø Follow up & Completion of CAPA Ø Loss Prevention Audits Ø Process Review & Necessary Improvements Ø Cross functional Team Audits 4. Loss Prevention Analysis Ø Quick Completion Investigation and submission of reports Ø Loss prevention audits and recommendations if any Ø Surprise Checks and submission of reports Ø Follow up & Completion of CAPA with regards to Concern areas 5. Coaching & review new process implementation Ø Ensuring adherence of process leading maintaining ZERO losses About the team The India Security and Loss Prevention (INSLP) team is responsible for leading the effort to efficiently and effectively provide security services and asset (lives, buildings, equipment, inventory, data, and intellectual property) protection in a designated area of responsibility. Amazon's LP and shrink reduction efforts are supported by the World Wide Operations Security (WWOS) team through the creation of an overall global strategy designed to optimize resources and leverage technology to mitigate product loss and maintain customer satisfaction. A minimum of 3- 5 years in law enforcement or security-related profession. Experience in managing or coordinating security investigations of complex nature. Knowledge of information security processes and systems. Experience in security auditing. Exposure to MNC culture and dynamics 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.

Job Title: Executive Assistant to the CEO Location :-daryaganj Male candidates needed Exp:-min 2years to 3 years 6days working Office timing:-9:30am to 7:00pm Salary upto:-30K TO 35K CONTACT VIA WHATSAPP:-9266110089 Job Summary : We are seeking a highly organized and detail-oriented Assistant to provide comprehensive administrative and operational support to the CEO. The ideal candidate will possess excellent English communication skills, a strong work ethic, and the ability to manage multiple tasks efficiently. This role is crucial for ensuring the smooth functioning of the CEO's office and requires a proactive and resourceful individual. Responsibilities:  Provide comprehensive administrative support to the CEO, including managing correspondence, scheduling appointments, preparing reports and presentations, and maintaining confidential records.  Manage and organize the CEO's files, both physical and digital, ensuring easy retrieval of information.  Coordinate meetings and events for the CEO, including arranging logistics, preparing agendas and minutes, and managing attendee communication.  Handle all incoming and outgoing communication for the CEO, including phone calls, emails, and mail.  Assist with special projects as assigned by the CEO, such as conducting research, preparing reports, and coordinating with other departments.  Manage the CEO's travel arrangements, including booking flights, hotels, and transportation, and preparing travel itineraries.  Maintain office supplies and equipment for the CEO's office, ensuring smooth operation.  Perform other duties as assigned by the ceo Qualifications:  Bachelor's degree in any discipline; MBA or Master's Degree in Communication preferred.  Excellent written and verbal communication skills in English.  Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint) and Google Workspace.  Strong organizational and time-management skills.  Ability to prioritize tasks and meet deadlines in a fast-paced environment.  Excellent interpersonal skills and ability to work effectively with individuals at all levels.  Proactive and resourceful approach to problem-solving.  Attention to detail and accuracy.  Discretion and ability to maintain confidentiality. As a leading Indian publisher, we are committed to promoting Indian languages and literature. Our mission is to preserve and promote India's rich cultural heritage and make it accessible to a wider audience. To further our mission, we established a non-profit organization dedicated to fostering exchange among Indian languages and international literature. The foundation provides a platform for writers, scholars, and artists to connect with each other and the global community. PREFERENCE :-GOOD COMMAND IN HINDI(WRITTEN AND TYPING) Thank you. REGARDS NEHA Job Type: Full-time Pay: ₹30,000.00 - ₹35,000.00 per month Schedule: Day shift Language: English (Preferred) Work Location: In person

Apply here : https://goodspace.ai/jobs/backend-developer?id=28368&source=campaign_Indeed-Simran_BackendDev-28368 About the Role: We are looking for a skilled Backend Developer to join our dynamic team and take ownership of the backend infrastructure for our application. The ideal candidate will have experience working with AWS services, Node.js, and the Serverless framework, and be capable of designing scalable, secure, and efficient backend solutions. Key Responsibilities: \* Develop, deploy, and maintain serverless backend APIs using AWS Lambda and API Gateway \* Design and manage scalable databases using DynamoDB \* Handle file storage and retrieval with AWS S3 \* Implement backend logic and integrations using Node.js \* Ensure best practices for security, performance, and scalability \* Collaborate with the frontend team to integrate APIs and troubleshoot issues \* Monitor, debug, and optimize backend performance Required Skills: \* Strong proficiency in Node.js \* Hands-on experience with AWS services: Lambda, API Gateway, DynamoDB, S3 \* Proficiency with the Serverless Framework \* Knowledge of RESTful APIs and best practices \* Familiarity with CI/CD, logging, and monitoring tools \* Good problem-solving and communication skills Apply here: https://goodspace.ai/jobs/backend-developer?id=28368&source=campaign_Indeed-Simran_BackendDev-28368 Job Type: Full-time Pay: ₹900,000.00 - ₹1,200,000.00 per year Schedule: Day shift

Location: Garchuk (Should be comfortable working at both Garchuk and Head Office – ABC, as per company requirements) Qualification: Graduate Gender: Male only Experience: Min 6 months- 1 year experience in data entry or relevant field Job Responsibilities: Accurately enter and update data in Excel sheets, internal databases, and business reports Prepare, clean, and organize large sets of data to support inventory, sales, and purchase operations Generate daily, weekly, and monthly reports as per management requirements Ensure all data is up-to-date, consistent, and free of errors Perform cross-verification of data with physical records and coordinate with concerned departments for clarification Maintain organized filing systems (both digital and paper-based) for easy retrieval of information Handle sensitive information with confidentiality and integrity Required Skills: Proficient in Microsoft Excel Good typing speed with accuracy Basic computer and office software knowledge Strong attention to detail and time management skills Job Types: Full-time, Permanent Pay: Up to ₹15,000.00 per month Work Location: In person

Hiring For AI Enginner - Python Developer :- Job Description:- We are seeking a talented Python Developer with hands-on experience in AI chatbot development and familiarity with Model Context Protocol (MCP) to join our AI team. You will be responsible for developing intelligent, context-aware conversational systems that integrate seamlessly with our internal knowledge base and enterprise services. The ideal candidate is technically proficient ,proactive, and capable of translating complex AI interactions into scalable backend solutions. Key Responsibilities 1. Design and develop robust AI chatbots using Python and integrate them with LLM APIs(e.g., OpenAI, Google AI, etc.). 2. Implement and manage Model Context Protocol (MCP) for optimize context injection, session management, and model-aware interactions. 3.Build and maintain secure pipelines for knowledge base access that allow the chatbot to accurately respond to internal queries. 4.Work with internal teams to define and evolve the contextual metadata strategy (roles, user state, query history, etc.). 5.Contribute to internal tooling and framework development for contextual AI applications. Required Skills & Experience 1. 3+ years of professional Python development experience. 2. Proven track record in AI chatbot development, particularly using LLMs. 3. Understanding of Model Context Protocol (MCP) and its role in enhancing AI interactionfidelity and relevance. 4. Strong experience integrating with AI APIs (e.g., OpenAI, Azure OpenAI). 5. Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector-basedsearch (e.g., Pinecone, Weaviate, FAISS). 6. Experience designing systems that ingest and structure unstructured knowledge (e.g., PDF,Confluence, Google Drive docs). 7. Comfortable working with RESTful APIs, event-driven architectures, and context-awareservices.8.Good understanding of data handling, privacy, and security standards related to enterpriseAI use. Job Location: Indore Joining: Immediate Share resume at talent@jstechalliance.com or can Contact Here :- 0731-3122400 WhatsApp : 8224006397 Job Type: Full-time Application Question(s): Immediate Joiner Have you completed your Bachelor's\Master's Degree? Experience: Python: 3 years (Required) Model Context Protocol (MCP): 3 years (Required) LLM APIs: 3 years (Required) Artificial Intelligence: 2 years (Required) Location: Vijay Nagar, Indore, Madhya Pradesh (Required) Work Location: In person