3958 Retrieval Jobs - Page 43

AI Specialist / Machine Learning Engineer Location: On-site (hyderabad) Department: Data Science & AI Innovation Experience Level: Mid–Senior Reports To: Director of AI / CTO Employment Type: Full-time Job Summary We are seeking a skilled and forward-thinking AI Specialist to join our advanced technology team. In this role, you will lead the design, development, and deployment of cutting-edge AI/ML solutions, including large language models (LLMs), multimodal systems, and generative AI. You will collaborate with cross-functional teams to develop intelligent systems, automate complex workflows, and unlock insights from data at scale. Key Responsibilities Design and implement machine learning models for natural language processing (NLP), computer vision, predictive analytics, and generative AI. Fine-tune and deploy LLMs using frameworks such as Hugging Face Transformers, OpenAI APIs, and Anthropic Claude. Develop Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, LlamaIndex, and vector databases (e.g., Pinecone, Weaviate, Qdrant). Productionize ML workflows using MLflow, TensorFlow Extended (TFX), or AWS SageMaker Pipelines. Integrate generative AI with business applications, including Copilot-style features, chat interfaces, and workflow automation. Collaborate with data scientists, software engineers, and product managers to build and scale AI-powered products. Monitor, evaluate, and optimize model performance, focusing on fairness, explainability (e.g., SHAP, LIME), and data/model drift. Stay informed on cutting-edge AI research (e.g., NeurIPS, ICLR, arXiv) and evaluate its applicability to business challenges. Tools & Technologies Languages & Frameworks Python, PyTorch, TensorFlow, JAX FastAPI, LangChain, LlamaIndex ML & AI Platforms OpenAI (GPT-4/4o), Anthropic Claude, Mistral, Cohere Hugging Face Hub & Transformers Google Vertex AI, AWS SageMaker, Azure ML Data & Deployment MLflow, DVC, Apache Airflow, Ray Docker, Kubernetes, RESTful APIs, GraphQL Snowflake, BigQuery, Delta Lake Vector Databases & RAG Tools Pinecone, Weaviate, Qdrant, FAISS ChromaDB, Milvus Generative & Multimodal AI DALL·E, Sora, Midjourney, Runway Whisper, CLIP, SAM (Segment Anything Model) Qualifications Bachelor’s or Master’s in Computer Science, AI, Data Science, or related discipline 3–7 years of experience in machine learning or applied AI Hands-on experience deploying ML models to production environments Familiarity with LLM prompt engineering and fine-tuning Strong analytical thinking, problem-solving ability, and communication skills Preferred Qualifications Contributions to open-source AI projects or academic publications Experience with multi-agent frameworks (e.g., AutoGPT, OpenDevin) Knowledge of synthetic data generation and augmentation techniques Job Type: Permanent Pay: ₹734,802.74 - ₹1,663,085.14 per year Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person

Location : Hauz Khas Delhi Experience : 0-1 years Salary : 15k-25k Working days : 5.5 days(Rotational Sat off & Sun fix off) Job Summary: We are seeking a detail-oriented and creative Prompt Engineer to design, refine, and optimize prompts for large language models (LLMs) like GPT, Claude, or Gemini. As a Prompt Engineer, you will collaborate with product teams, data scientists, and developers to create high-performing, context-aware prompts that deliver consistent and accurate results. Key Responsibilities: Design, test, and iterate on prompts for various AI use cases (chatbots, search, summarization, code generation, etc.) Evaluate model outputs for accuracy, consistency, tone, and bias. Work closely with product managers and engineers to translate business requirements into effective AI behaviors. Build prompt libraries, templates, and frameworks for reuse across products. Fine-tune and structure prompts for specific model types and APIs (e.g., OpenAI, Anthropic, Google PaLM). Develop evaluation metrics and benchmarks for prompt performance. Stay updated on LLM advancements, prompt engineering techniques, and ethical AI practices. Requirements: Bachelor's degree in Computer Science, Linguistics, AI/ML, or a related field (or equivalent experience). Understanding of natural language processing (NLP) and large language models. Strong analytical and critical thinking skills. Excellent command of written English; attention to detail in tone, style, and intent. Hands-on experience with LLM APIs (e.g., OpenAI’s GPT-4, Claude, Gemini). Familiarity with prompt tuning, few-shot and zero-shot learning. Preferred Qualifications: Experience with Python and AI/ML tools. Knowledge of UX writing or technical writing is a plus. Familiarity with vector databases and retrieval-augmented generation (RAG). Experience in deploying AI applications in production. Benefits: Competitive salary Opportunities to work on cutting-edge AI projects Learning budget and access to AI research resources Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹22,000.00 per month Benefits: Health insurance Paid sick time Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Experience: AI: 1 year (Preferred) LLM: 1 year (Preferred) Language: English (Preferred) Work Location: In person

Job Title: AWS Data Engineer The role typically involves working various shifts to support customers in a 24/7 roster-based model within an office environment Summary: We are seeking an experienced AWS Data Engineer to join our TC - Data and AIoT department. As an AWS Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines and infrastructure on the AWS platform. You will work closely with cross-functional teams to ensure efficient data flow and integration, enabling effective data analysis and reporting. Roles and Responsibilities: 1. Design and develop data pipelines and ETL processes on the AWS platform, ensuring scalability, reliability, and performance. 2. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and translate them into technical solutions. 3. Implement data governance and security measures to ensure compliance with industry standards and regulations. 4. Optimize data storage and retrieval processes to enhance data accessibility and performance. 5. Troubleshoot and resolve data-related issues, ensuring data quality and integrity. 6. Monitor and maintain data pipelines, ensuring timely data ingestion and processing. 7. Stay up-to-date with the latest AWS services and technologies, and evaluate their potential for enhancing our data infrastructure. 8. Collaborate with DevOps teams to automate deployment and monitoring of data pipelines. 9. Document technical specifications, processes, and procedures related to data engineering. Qualifications: 1. Bachelor's degree in Computer Science, Engineering, or a related field. 2. 2-5 years of experience in data engineering, with a focus on AWS technologies. 3. Strong knowledge of AWS services such as S3, Glue, Redshift, Athena, EMR and Lambda. 4. Proficiency in programming languages such as Python, SQL, and Scala. 5. Experience with data modeling, data warehousing, and ETL processes. 6. Familiarity with data governance and security best practices. 7. Strong analytical and problem-solving skills. 8. Excellent communication and collaboration abilities. 9. AWS certifications (e.g., AWS Certified Big Data - Specialty) are a plus. Job Type: Full-time Pay: Up to ₹1,500,000.00 per year Schedule: Rotational shift Work Location: In person

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! Job Description We are seeking a Data Scientist to develop next-generation Security Analytics products. You will work closely with engineers and product managers to prototype, design, develop, and optimize data-driven security solutions. As a Data Scientist, you will focus on consolidating and analysing diverse data sources to extract meaningful insights that drive product innovation and process optimization. The ideal candidate has a strong background in machine learning, especially in the Natural Language Processing. Responsibilities: Design, develop, and deploy Machine Learning models. Collaborate with Product Management and cross-functional stakeholders to define problem statements, develop solution strategies, and design scalable ML systems. Leverage Large Language Models (LLMs) to build GenAI capabilities to drive business impact. Create insightful data visualisations, technical reports, and presentations to communicate findings to technical and non-technical audiences. Deploy ML models in production and implement monitoring frameworks to ensure model performance, stability, and continuous improvement. Requirements: BS, MS, or Ph.D. in Computer Science, Statistics, or a related field. 2-5 years of experience in Machine Learning projects, including model development, deployment, and optimization. Deep understanding of ML algorithms, their mathematical foundations, and real-world trade-offs. Expertise in NLP techniques like Named Entity Recognition, Information Retrieval, Text classification, Text-to-Text Generation etc. Familiarity and working experience of GenAI applications, Experience with prompting, fine-tuning and optimizing LLMs. Knowledge of recent advancements and trends in GenAI, demonstrating a commitment to continuous learning in this rapidly evolving field. Hands-on experience with ML frameworks such as Scikit-Learn, TensorFlow, PyTorch, LangChain, vLLM etc. Strong programming skills in Python and/or Java. Experience in SQL, Pandas, and PySpark for efficient data manipulation. Familiarity with microservice architectures, CI/CD, MLOps best practices. Strong communication, problem-solving, and analytical skills; a collaborative team player. Nice to Have: Familiarity with distributed computing frameworks such as Hadoop, Spark, and OpenSearch. Published research in AI/ML in peer-reviewed journals or top conferences (e.g., NeurIPS, ICML, CVPR). Prior experience applying AI/ML to cybersecurity use cases. Basic proficiency in Unix/Linux environments for scripting and automation.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: What you need to know about the role- SRE Labs, part of PayPal’s Site Reliability Engineering (SRE) organization, is seeking a Staff Software Engineer to lead and shape our Generative AI (GenAI) practice. In this high-impact role, you’ll architect and deliver scalable, production-grade AI solutions—ranging from intelligent chatbots to next-gen automation tools. You'll bring deep engineering expertise and a passion for AI innovation to transform how PayPal builds resilient and intelligent systems. This is a hands-on role with strategic reach: you’ll design, build, and lead AI-first platforms and services that redefine reliability engineering. You’ll work in a fast-paced, agile environment alongside top-tier engineers, product leads, and business partners to bring meaningful, customer-facing innovation to life. Meet our team PayPal SRE is a continuous engineering discipline that effectively combines software development and systems engineering to build and run scalable, distributed, fault-tolerant systems. The SRE team works together to ensure a continuous improvement to optimize for capacity and performance. SRE Labs enables innovation and builds enterprise-wide platforms to support Reliability. Job Description: Your way to impact In this role, you’ll drive the adoption of Generative AI across PayPal’s Site Reliability Engineering organization by building intelligent, scalable platforms—like AI-powered chatbots and predictive systems—that enhance system reliability and engineering productivity. Your work will enable automation at scale, reduce operational toil, and deliver real-time insights that empower engineers across the business. As a technical leader in SRE Labs, you’ll shape how reliability engineering evolves at PayPal, influencing architecture, best practices, and product direction. You’ll be part of a collaborative, high-performance team that brings cutting-edge technology into mission-critical environments. Your day to day In your day to day role you will Lead the design and development of GenAI -driven platforms, including intelligent chatbots, AI copilots, and automation tools for Site Reliability use cases. Build and deploy machine learning models in production using technologies like Python , , LangChain , LLM APIs (OpenAI, Anthropic, Azure OpenAI), Collaborate cross-functionally with product, infrastructure, and SRE teams to translate reliability pain points into scalable AI/ML-powered solutions. Develop scalable front-end and backend services using React.js and Node.js to build user-facing AI-powered applications and APIs. Drive system design and architecture decisions that ensure scalability, reliability, and maintainability of AI platforms. Mentor engineers, share best practices, and help evolve PayPal’s GenAI strategy and engineering standards. What do you need to bring - A Bachelor’s or Master’s degree in Computer Science , Engineering, or a related field—or equivalent practical experience. 8 + years of experience designing, developing, and deploying AI/ML solutions, with a strong emphasis on LLMs, chatbots, and scalable architecture. Proficiency in Python, React.js, and Node.js, with hands-on experience building scalable applications and services. Hands -on expertise with LangChain , , lang graph, RESTful APIs and cloud platforms including deploying models in production. Strong understanding of system design principles with experience architecting large-scale, fault-tolerant distributed systems. Solid knowledge of ML pipelines, prompt engineering, retrieval-augmented generation (RAG), and integration of LLMs with enterprise systems. A proven ability to lead cross-functional projects, mentor peers, and influence technical direction while working in Agile, fast-paced environments. You have good analytical and problem-solving skills. Strong verbal and written communication skills. Flexibility and willingness to learn new technologies and adapt quickly. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com . Who We Are: Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

Job Title: Python, Full Stack Developer Company: TESLEAD EQUIPMENTS PRIVATE LIMITED Location: 152, SIDCO Industrial Estate, Malumichampatti, Coimbatore – 641050, Tamil Nadu, India Job Type: Full-Time Experience: 2+ (flexible based on skills) Company Overview: We are looking for a skilled and motivated Python Full Stack Developer to join our dynamic team. The ideal candidate will be responsible for both the front-end and back-end development of our web applications, ensuring seamless integration and high performance across all layers. You should have a strong understanding of Python, web development frameworks, databases, and modern front-end technologies. Job Responsibilities: Design, develop, and maintain server-side logic and databases using Python-based frameworks like Django, Flask, or FastAPI. Build dynamic and responsive user interfaces using front-end technologies like HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js. Work with relational databases (e.g., MySQL) and NoSQL databases (e.g., MongoDB) to ensure data storage and retrieval efficiency. Use Git for version control to collaborate with team members on code changes, and manage branches effectively. Write unit tests and conduct debugging to ensure code quality and functionality. Work closely with cross-functional teams, including designers, product managers, and other developers, to deliver high-quality solutions. Maintain and improve existing applications by enhancing functionality, fixing bugs, and optimizing performance. Key Skills Required: Strong proficiency in Python and experience with Python web frameworks (e.g., Django, Flask, FastAPI). Proficiency in front-end languages and frameworks such as HTML, CSS, JavaScript, and front-end libraries (e.g.,React, Vue.js, Angular). Familiarity with database management systems like MySQL, or NoSQL databases (e.g., MongoDB). Experience with version control tools, such as Git. Strong problem-solving skills and attention to detail. Ability to work both independently and as part of a team. Excellent communication skills. Qualifications: Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience. Fresher or 2+ years of experience in Python Full Stack Development. If you are passionate about building scalable, efficient, and user-friendly web applications, we encourage you to become part of our innovative team! Job Type: Full-time Pay: From ₹15,000.00 per month Benefits: Health insurance Paid sick time Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Work Location: In person

JD for the MDx - P1 position – Molecular Junior Molecular Biologist Main responsibilities Documentations of MDx lab from receipt to processing. This includes excels for sample receipt at MDx, sample comments, preliminary processing observations etc Assist with tracking DNA (storage) and help in timely retrieval of the same as per client’s request. Document the retrieval appropriately Assist with preanalytical steps such as sample inspection and comment documentation, TRFs scanning + copying. Conduct DNA extraction from different types of samples Perform sample dissection – applicable for chorionic villi and other tissue sample types Carry out Quantification of DNA as needed Agarose gel electrophoresis Assist and later carry out other molecular tests – PCR test, QFPCR, MCC, NGS library preparation Assist in tracking and maintaining molecular lab inventory (consumables and kits) Learn and assist in conduct of other new tests. Independently conduct new tests as required Assist with validation of different new tests as needed Assist and conduct SOPs drafting and proofreading. Any other work allotted by the manager and Lab Director from time-to-time Assist and cross-train in other departments such as molecular laboratory tests or biochemical genetic screening tests as required REQUIRED COMPETENCE Education - Preferred: M.Sc. Genetics/ Molecular Biology; Biotechnology; other related life sciences or Biology/ Biotechnology with at least basic knowledge of laboratory work. Bachelor's degree in relevant field- biotechnology, genetics may be considered contingent on non availability of preferred degree candidates and based on urgency Required work experience related to position – Any prior molecular biology experience will be an advantage. Special requirements / Skills / Attributes DNA Isolation DNA quantification Agarose gel electrophoresis Handling Biological Samples PCR Good Laboratory Practice Additional Skills: Cell / Tissue Culture Microsoft Office 2010 Quality control in biological assays Validating biological assays Soft Skill: Good Communication. Motivation to work hard and if needed extra hours as well. Motivation to learn new skills. Competency Required Strategic Perspective: Successfully complete individual goals set as part of the Goal Setting process Ensure the preliminary process – DNA isolation- is always completed in a timely and quality manner to ensure sample success within proposed TAT. Market Focus Ensures quality is always given priority and maintained at the high standards of the company Leadership: Takes charge of trainees, new staff, and ensures all documentation and preliminary processes are completed Takes initiative to increase personal effectiveness and performance Participate in discussions pertaining to new tests Present views and suggestions for new tests and process improvement of existing tests

1. Sampling of materials as per defined sampling scheme 2. Issuance, control and retrieval of controlled documents 3. Control sample management 4. Review and release of raw material, packing materials and intermediates for further use. 5. To perform IPQA activities at shop floor in each and every stage of manufacturing and packing 6. Review of documents of respective areas and logbooks for adequacy and completeness 7. QA overview for receipt of materials from warehouse to production 8. IPQA of dispensing, manufacturing, packaging and dispatch activities 9. Executing the validation/QMS activities in absence of authorized person Job Type: Full-time Pay: ₹25,000.00 - ₹30,000.00 per month Benefits: Food provided Health insurance Leave encashment Provident Fund Schedule: Rotational shift Education: Bachelor's (Preferred) Experience: total work: 2 years (Preferred) Work Location: In person

About PanScience Innovations: PSI is India’s largest venture studio in AI and Deep Tech, headquartered in New Delhi. We’re committed to building science-backed, tech-enabled ventures that address high-impact, emerging market opportunities. We operate at the intersection of innovation, research, and business execution, launching bold, founder-led companies from the ground up. Job Summary: We are looking for a highly skilled Senior Software Engineer with a strong background in building scalable distributed systems. The ideal candidate will have expertise in Python or Java, hands-on experience with cloud technologies, and a deep understanding of NoSQL/RDBMS databases, web applications, and authentication mechanisms. This role requires proficiency in automated testing, CI/CD pipelines, LLMs, and RAG pipelines, along with strong problem-solving and communication skills. Key Responsibilities: Develop and maintain scalable, high-performance distributed systems. Design and implement efficient data processing pipelines. Work with cloud platforms (AWS, GCP, or Azure) to deploy and manage applications. Implement authentication & authorization mechanisms. Ensure high software quality through automated testing and CI/CD. Work with NoSQL and RDBMS databases for scalable data storage and retrieval. Implement and optimize LLM (Large Language Models) and RAG (Retrieval-Augmented Generation) pipelines. Collaborate with cross-functional teams to deliver high-quality software solutions. Utilize Git for version control and maintain best practices in software development. Work in a Linux-based development environment. Requirements: 4+ years of experience in software development, with a focus on distributed systems. Proficiency in Python or Java. Experience working with cloud platforms (AWS, GCP, or Azure). Strong knowledge of NoSQL and RDBMS databases. Hands-on experience with web application development and authentication. Expertise in automated testing, CI/CD pipelines, and Git workflows. Experience with LLM and RAG pipelines is a plus. Strong problem-solving skills and effective communication. Job Type: Full-time Pay: ₹900,000.00 - ₹2,000,000.00 per year Benefits: Health insurance Schedule: Monday to Friday Application Question(s): Have you implemented or optimised any Large Language Models (LLMs) in a project? Do you have hands-on experience working with AI automation workflows? What is your Current CTC? What is your Expected CTC? What is your Notice Period? Work Location: In person

Role : Product Manager About Paytm Group: Paytm is India's leading financial services company that offers full-stack payments & financial solutions to consumers, offline merchants and online platforms. The company is on a mission to bring half a billion Indians into the mainstream economy through payments, commerce, banking, investments, and financial services. One97 Communications Limited that owns the brand Paytm is founded by Vijay Shekhar Sharma and is headquartered in Noida, Uttar Pradesh. Its investors include Softbank, Ant Financial, AGH Holdings, SAIF Partners, Berkshire Hathaway,T Rowe Price, and Discovery Capital. About Paytm Travel Business Be a part of one of Paytm's fastest growing businesses - Travel. Travel was launched in 2016 and in less than 12 months we became India's 2nd largest online travel booking platform for Flights, Trains, Hotels and Bus tickets. Paytm's Travel business is entirely based out of Bangalore. We are like a 300-member startup within Paytm working in a fast paced environment. Our team comprises Product & Design, Engineering, Business and Customer Experience functions. Join us if you would like to work in a fast paced, agile, entrepreneurial environment where every day brings with it an opportunity for you to create a dent in the universe. Our Story Paytm Travel has revolutionized the travel industry - with a goal to empower millions of travelers who choose us as their preferred travel partner. We are no. 2 in the travel segment, in India, within a span of few years, which proves our capability and potential to become no. 1 in the near future. Being one of the largest travel platforms in the country, our aim is to not only ensure seamless, instant booking, but also a delightful journey. We strive to enrich customer experience by making every transaction transparent, honest and hassle free. To stay ahead of the curve, we are working aggressively towards our ambition to make travel affordable for all. With this customer centricity at our core, we strive to make Paytm Travel synonymous with a trustworthy travel partner. What You'll Do: Own the roadmap for a key consumer-facing product within the travel ecosystem Collaborate cross-functionally with design, engineering, and business teams to deliver features that resonate with users Engage in technical discussions, understanding system design and architecture to make informed decisions Leverage AI technologies like LLMs (e.g. GPT, Claude), retrieval-augmented generation (RAG), recommendation systems, and conversational agents to enhance product intelligence and personalization Balance speed and quality, prioritizing rapid iterations over perfection to meet market demands What We're Looking For: 3 years of product management experience in consumer internet companies Mobile product experience (Android, iOS) is a must, with a keen eye for user experience. Should be able to have brainstorming discussions with tech on flutter vs native app. Hands-on experience with AI agents or agentic AI frameworks (e.g. AutoGPT, LangChain, OpenAgents) is a significant plus Educational foundation in Computer Science or a related technical field (preferred), MBA from a top tier b-school is a plus. Excellent data analysis and insights skills – comfort with metrics, funnels, experiments, and decision-making driven by data Analytical mindset, with the ability to question business constructs and drive data-informed decisions Excellent communication skills, capable of articulating ideas and collaborating with diverse teams Why join us : A collaborative output driven program that brings cohesiveness across businesses through technology Improve the average revenue per use by increasing the cross-sell opportunities A solid 360 feedback from your peer teams on your support of their goals. Respect, that is earned, not demanded from your peers and manager Compensation: If you are the right fit, we believe in creating wealth for you. With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

We are seeking a results-oriented IT administrator to manage our company's computer infrastructure and supervise our IT department. You will be upgrading and installing hardware and software, performing troubleshooting to resolve IT issues, and maintaining our networks and servers. IT Administrator Responsibilities: Monitoring and maintaining networks and servers. Upgrading, installing and configuring new hardware and software to meet company objectives. Implementing security protocols and procedures to prevent potential threats. Creating user accounts and performing access control. Performing diagnostic tests and debugging procedures to optimize computer systems. Documenting processes, as well as backing up and archiving data. Developing data retrieval and recovery procedures. Designing and implementing efficient end-user feedback and error reporting systems. Supervising and mentoring IT department employees, as well as providing IT support. Keeping up to date with advancements and best practices in IT administration. IT Administrator Requirements: Bachelor's degree in computer science, information technology, information systems, or similar. Applicable professional qualification, such as Microsoft, Oracle, or Cisco certification. At least 1+ years' experience in a similar role. Extensive experience with IT systems, networks, and related technologies. Solid knowledge of best practices in IT administration and system security. Exceptional leadership, organizational, and time management skills. Strong analytical and problem-solving skills. Excellent interpersonal and communication skills. Job Type: Full-time Pay: From ₹10,000.00 per month Benefits: Health insurance Schedule: Day shift Monday to Friday Morning shift Application Question(s): Current CTC (in LPA)? Expected CTC (in LPA)? Open to join Noida office? Total years of experience in IT Administrator in IT company? Higher Education? (10th, 12th, Bachelor's) Work Location: In person

Requirement of Medical Transcriptionist for a reputed Hospital in Ghaziabad with 4–5 years of experience in transcribing discharge summaries and radiology reports . The role involves converting voice-recorded medical reports into accurate written text while ensuring clarity, consistency, and adherence to medical and legal standards. Experience Required: 4–5 years Qualification: Graduate (preferably with training in medical transcription) Department: Medical Records / Radiology Key Responsibilities: · Transcribe dictated discharge summaries, radiology reports, and other clinical documentation. · Ensure accuracy, consistency, and completeness of medical records. · Edit and proofread reports to correct grammar, spelling, and formatting errors. · Use medical terminology appropriately and verify unclear terms through research. · Maintain confidentiality of patient information at all times. · Coordinate with doctors and radiologists to clarify dictations and improve report quality. · Ensure timely completion and uploading of finalized reports into the HIS system. · Maintain documentation standards in accordance with hospital protocols and NABH guidelines. · Support digital filing, backup, and retrieval of medical records. Required Skills: · Proficiency in medical transcription software/tools and hospital information systems (HIS) · Strong knowledge of medical terminology, especially in radiology and clinical medicine · Excellent listening, typing, grammar, and language skills · Ability to maintain confidentiality and work with minimal supervision · Detail-oriented with a focus on accuracy and deadlines Work Schedule: Full-time | Day shift (or as per hospital policy) Salary: Based on interview, experience and hospital norms Job Type: Full-time Pay: From ₹20,000.00 per month Schedule: Day shift Rotational shift Work Location: In person

Job Title: Document Manager Experience: Minimum 2 Years Location: Agra Employment Type: Full-Time Job Summary: We are looking for a Document Manager with 2 years of experience in managing and organizing company documentation. The ideal candidate will ensure timely preparation, control, and retrieval of critical business documents, especially related to tenders and compliance. Key Responsibilities: Maintain and organize company records and documentation. Prepare and manage tender-related documents. Ensure timely submission and version control of documents. Coordinate with internal departments for document collection. Maintain confidentiality and document security. Requirements: 2 years of experience in document or tender management. Proficient in MS Office, PDF tools, and documentation standards. Strong organizational and communication skills. Attention to detail and time management. Job Type: Full-time Pay: ₹20,000.00 - ₹35,000.00 per month Benefits: Paid sick time Provident Fund Schedule: Day shift Ability to commute/relocate: Agra, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required) Work Location: In person

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description 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

This posting is for one of our International Clients. About the Role We’re creating a new certification: Inside Gemini: Gen AI Multimodal and Google Intelligence (Google DeepMind) . This course is designed for technical learners who want to understand and apply the capabilities of Google’s Gemini models and DeepMind technologies to build powerful, multimodal AI applications. We’re looking for a Subject Matter Expert (SME) who can help shape this course from the ground up. You’ll work closely with a team of learning experience designers, writers, and other collaborators to ensure the course is technically accurate, industry-relevant, and instructionally sound. Responsibilities As the SME, you’ll partner with learning experience designers and content developers to: Translate real-world Gemini and DeepMind applications into accessible, hands-on learning for technical professionals. Guide the creation of labs and projects that allow learners to build pipelines for image-text fusion, deploy Gemini APIs, and experiment with DeepMind’s reinforcement learning libraries. Contribute technical depth across activities, from high-level course structure down to example code, diagrams, voiceover scripts, and data pipelines. Ensure all content reflects current, accurate usage of Google’s multimodal tools and services. Be available during U.S. business hours to support project milestones, reviews, and content feedback. This role is an excellent fit for professionals with deep experience in AI/ML, Google Cloud, and a strong familiarity with multimodal systems and the DeepMind ecosystem. Essential Tools & Platforms A successful SME in this role will demonstrate fluency and hands-on experience with the following: Google Cloud Platform (GCP) Vertex AI (particularly Gemini integration, model tuning, and multimodal deployment) Cloud Functions, Cloud Run (for inference endpoints) BigQuery and Cloud Storage (for handling large image-text datasets) AI Platform Notebooks or Colab Pro Google DeepMind Technologies JAX and Haiku (for neural network modeling and research-grade experimentation) DeepMind Control Suite or DeepMind Lab (for reinforcement learning demonstrations) RLax or TF-Agents (for building and modifying RL pipelines) AI/ML & Multimodal Tooling Gemini APIs and SDKs (image-text fusion, prompt engineering, output formatting) TensorFlow 2.x and PyTorch (for model interoperability) Label Studio, Cloud Vision API (for annotation and image-text preprocessing) Data Science & MLOps DVC or MLflow (for dataset and model versioning) Apache Beam or Dataflow (for processing multimodal input streams) TensorBoard or Weights & Biases (for visualization) Content Authoring & Collaboration GitHub or Cloud Source Repositories Google Docs, Sheets, Slides Screen recording tools like Loom or OBS Studio Required skills and experience: Demonstrated hands-on experience building, deploying, and maintaining sophisticated AI powered applications using Gemini APIs/SDKs within the Google Cloud ecosystem, especially in Firebase Studio and VS Code. Proficiency in designing and implementing agent-like application patterns, including multi-turn conversational flows, state management, and complex prompting strategies (e.g., Chain-of Thought, few-shot, zero-shot). Experience integrating Gemini with Google Cloud services (Firestore, Cloud Functions, App Hosting) and external APIs for robust, production-ready solutions. Proven ability to engineer applications that process, integrate, and generate content across multiple modalities (text, images, audio, video, code) using Gemini’s native multimodal capabilities. Skilled in building and orchestrating pipelines for multimodal data handling, synchronization, and complex interaction patterns within application logic. Experience designing and implementing production-grade RAG systems, including integration with vector databases (e.g., Pinecone, ChromaDB) and engineering data pipelines for indexing and retrieval. Ability to manage agent state, memory, and persistence for multi-turn and long-running interactions. Proficiency leveraging AI-assisted coding features in Firebase Studio (chat, inline code, command execution) and using App Prototyping agents or frameworks like Genkit for rapid prototyping and structuring agentic logic. Strong command of modern development workflows, including Git/GitHub, code reviews, and collaborative development practices. Experience designing scalable, fault-tolerant deployment architectures for multimodal and agentic AI applications using Firebase App Hosting, Cloud Run, or similar serverless/cloud platforms. Advanced MLOps skills, including monitoring, logging, alerting, and versioning for generative AI systems and agents. Deep understanding of security best practices: prompt injection mitigation (across modalities), secure API key management, authentication/authorization, and data privacy. Demonstrated ability to engineer for responsible AI, including bias detection, fairness, transparency, and implementation of safety mechanisms in agentic and multimodal applications. Experience addressing ethical challenges in the deployment and operation of advanced AI systems. Proven success designing, reviewing, and delivering advanced, project-based curriculum and hands-on labs for experienced software developers and engineers. Ability to translate complex engineering concepts (RAG, multimodal integration, agentic patterns, MLOps, security, responsible AI) into clear, actionable learning materials and real world projects. 5+ years of professional experience in AI-powered application development, with a focus on generative and multimodal AI. Strong programming skills in Python and JavaScript/TypeScript; experience with modern frameworks and cloud-native development. Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI, or a related technical field. Ability to explain advanced technical concepts (e.g., fusion transformers, multimodal embeddings, RAG workflows) to learners in an accessible way. Strong programming experience in Python and experience deploying machine learning pipelines Ability to work independently, take ownership of deliverables, and collaborate closely with designers and project managers Preferred: Experience with Google DeepMind tools (JAX, Haiku, RLax, DeepMind Control Suite/Lab) and reinforcement learning pipelines. Familiarity with open data formats (Delta, Parquet, Iceberg) and scalable data engineering practices. Prior contributions to open-source AI projects or technical community engagement. Show more Show less

With a startup spirit and 115,000 + curious and courageous minds, we have the expertise to go deep with the world’s biggest brands—and we have fun doing it! We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. We’re harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people. Now, we’re calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing. People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower. Welcome to the relentless pursuit of better. Inviting applications for the role of AI Senior Engineer In this role you’ll be leveraging Azure’s advanced AI capabilities or AWS Advance Ai capability, including Azure Machine Learning , Azure OpenAI, PrompFlow, Azure Cognitive Search, Azure AI Document Intelligence,AWS Sage Maker, AWS Bedrocks to deliver scalable and efficient solutions. You will also ensure seamless integration into enterprise workflows and operationalize models with robust monitoring and optimization. Responsibilities AI Orchestration - Design and manage AI Orchestration flow using tools such as: Prompt Flow, Or LangChain; Continuously evaluate and refine models to ensure optimal accuracy, latency, and robustness in production. Document AI and Data Extraction, Build AI-driven workflows for extracting structured and unstructured data fromLearning, receipts, reports, and other documents using Azure AI Document Intelligence, and Azure Cognitive Services. RAG Systems - Design and implement retrieval-augmented generation (RAG) systems using vector embeddings and LLMs for intelligent and efficient document retrieval; Optimize RAG workflows for large datasets and low-latency operations. Monitoring and Optimization - Implement advanced monitoring systems using Azure Monitor, Application Insights, and Log Analytics to track model performance and system health; Continuously evaluate and refine models and workflows to meet enterprise-grade SLAs for performance and reliability. Collaboration and Documentation - Collaborate with data engineers, software developers, and DevOps teams to deliver robust and scalable AI-driven solutions; Document best practices, workflows, and troubleshooting guides for knowledge sharing and scalability. Qualifications we seek in you Proven experience with Machine Learning, Azure OpenAI, PrompFlow, Azure Cognitive Search, Azure AI Document Intelligence, AWS Bedrock, SageMaker; Proficiency in building and optimizing RAG systems for document retrieval and comparison. Strong understanding of AI/ML concepts, including natural language processing (NLP), embeddings, model fine-tuning, and evaluation; Experience in applying machine learning algorithms and techniques to solve complex problems in real-world applications; Familiarity with state-of-the-art LLM architectures and their practical implementation in production environments; Expertise in designing and managing Prompt Flow pipelines for task-specific customization of LLM outputs. Hands-on experience in training LLMs and evaluating their performance using appropriate metrics for accuracy, latency, and robustness; Proven ability to iteratively refine models to meet specific business needs and optimize them for production environments. Knowledge of ethical AI practices and responsible AI frameworks. Experience with CI/CD pipelines using Azure DevOps or equivalent tools; Familiarity with containerized environments managed through Docker and Kubernetes. Knowledge of Azure Key Vault, Managed Identities, and Azure Active Directory (AAD) for secure authentication. Experience with PyTorch or TensorFlow. Proven track record of developing and deploying Azure-based AI solutions for large-scale, enterprise-grade environments. Strong analytical and problem-solving skills, with a results-driven approach to building scalable and secure systems. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Show more Show less

Company Overview Expertia AI is a deep-tech SaaS platform creating an AI Recruiter to improve the hiring process with the goal to make hiring in real-time a reality! Expertia started in 2021 and now serves more than 15,000+ companies. It has become a leading platform in India, with over 23 million professionals. Our customers include startups and companies like Zepto, Google, NoBrocker, Reliance Jio, and many more. We are backed by marquee investors like Chiratae Ventures, Endiya Partners, and Entrepreneurs First. But most importantly, we’re growing at a phenomenal pace, and that means exponential growth and learning opportunities for you, plus a band of passionate and fun people to work with within a place where your ideas take precedence over your designation. Are you passionate about building AI-powered applications using the latest LLMs like GPT, Llama, and Gemini? Do you enjoy working with Python, Flask, and AWS , developing crawlers, scrapers, and data mining pipelines to extract insights from resumes, job descriptions, and public datasets? At Expertia AI , we’re on a mission to revolutionize recruitment with AI-driven solutions. As an AI Engineer , you’ll play a critical role in building scalable applications that leverage LLMs, NLP, and automation to transform how companies find top talent. What You’ll Do Develop and optimize crawlers, scrapers, and data pipelines to extract structured insights from job-related content. Build AI-powered applications using OpenAI, GPT, Llama, Gemini, and other cutting-edge models. Work with Flask, Python, and AWS to deploy scalable AI services. Collaborate with a dynamic team of AI researchers, engineers, and product leaders to create intelligent recruiting solutions. What We’re Looking For Strong expertise in Python, Flask, and AWS deployment. Hands-on experience with web scraping, data mining, or crawling large-scale datasets. Familiarity with LLMs, NLP, and AI model integration. Experience working with APIs, databases, and scalable architectures. Bonus: Knowledge of Vector databases, RAG (Retrieval-Augmented Generation), and AI-based search. Why Join Us? 🚀 Impactful Work: Build AI that transforms hiring at scale. 🌍 Cutting-Edge Tech: Work with the latest LLMs and AI innovations. 💡 Growth & Learning: Fast-paced, high-growth startup culture with opportunities to lead. 🤝 Collaborative Team: Join passionate AI & ML experts shaping the future of recruitment. We'd love to hear from you if you’re excited to build AI-first applications that redefine hiring ! Apply now and be part of the next wave of AI-driven recruitment. Show more Show less

Our solutions are a key part of most industries - electronics, medical research, renewable energy, food production, infrastructure and many more. Working with us means working with the latest technologies and groundbreaking, sustainable innovations. Join us on our journey for a better tomorrow. Your Role Mission As Team Leader-Projects you will be responsible for the project execution including Engineering, Project Management within the agreed scope of supply, timely deliveries, within the agreed price as per customer expectations. From the company point of view, you would be responsible for controlling the costs, maintaining or improving the margins and maintaining the databank for the executed jobs for the future reference. Job Description His/her main responsibilities will be: Familiar with API, ASME, IS standards, etc. related to Compressor package engineering. Familiar with products engineering like General Arrangement Drawing of compressor package, Foundation Drawing, Piping and Instrumentation Diagram, Inter Cooler Datasheet, Compressor Datasheet, Control Narrative, and knowledge of various applications. Knowledge of controls and instrumentation, electrical related to safe and hazardous area specification and execution would be an added advantage. Responsible for the project engineering; by understanding the various specifications and thus completion within the stipulated period. Frame up of the project specifications/data, transferred to sourcing and packaging function for procurement and unitization, respectively. Frame up technical aspects of the quality assurance plan or inspection & test plan. Involving actively in technical negotiations with the vendors. Experience of HAZOP/SIL/Model Review is an added advantage. Responsible for project management & control. To meet organizational goals towards delivery efficiency, quality, and cost. Streamline all Engineering related business processes in the ERP system (SAP / 3D Enovia). Responsible for the project database for the future reference. Knowledge of project commercials related to imports/exports like customs rules, deemed exports, duty free imports, supplies to SEZ, EPCG license, etc., local taxes and duties. Knowledge of handling free issue materials for the purpose of value addition. Knowing the vendor base related to project type business, local and global is added advantage. Control on communication with internal functions like other service providers and external agencies like consultants, vendors, third party inspection agencies, customers. Spontaneous support for packaging and aftermarket functions. Responsible for the pre-post gross profit, prime project receivables and other project liabilities like retrieval of bank guarantees, etc. Good rapport & liasoning with quality, sourcing, and packaging functions. Support to Application, Sales & Marketing in terms of giving feedback. Willingness to travel to customer/vendor for meetings. To succeed, you will need Experience Requirements. 12-15 experience in engineered products/Process engineering/ project management/Product development/Localization You are expected to have proven leadership skills. Experience in SAP/3D Enovia system. Product and packaging knowledge, skills in products / IG Compressors /Reciprocating compressors/Expanders/Steam Turbine/Centrifugal Pumps would be preferred. Min 5 years’ Experience of having worked on rotary machines. Knowledge/Educational Requirements You should have a technical Degree from a recognized University or equivalent, in Mechanical, Instrumentation, Electrical Engineering or other relevant discipline. Good command of English communication. Familiar with MS Office softwares, including Excel, Word, PowerPoint, Project. Personality Requirements Initiative-taking, highly organized, capable of working independently. Result-oriented leadership, strong but flexible personality, ability to create and maintain effective communication at all levels. You will have a key role in the Product Company management team, and you will therefore characterize yourself as a real collaborator. People oriented. Able to prioritize and adapt quickly to an ever-changing environment. In return, we offer you Interesting and challenging work enviroment Enthusiastic and friendly team members Dynamic and multinational environment Teambuilding activities Opportunities to use other foreign languages Motivating remuneration Great opportunities for professional growt City Pune Diverse by nature and inclusive by choice Bright ideas come from all of us. The more unique perspectives we embrace, the more innovative we are. Together we build a culture where difference is valued and we share a deep sense of purpose and belonging. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description : Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 4 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models Utilize optimization tools and techniques, including MIP (Mixed Integer Programming. Deep knowledge of classical AIML (regression, classification, time series, clustering) Drive DevOps and MLOps practices, covering CI/CD and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Company Description: About Holiday Tribe Holiday Tribe is a Great Place To Work® Certified™, seed-stage VC-funded travel-tech brand based in Gurugram. We specialize in crafting unforgettable leisure travel experiences by integrating advanced technology, leveraging human expertise, and prioritizing customer success. With holidays curated across 30+ destinations worldwide, partnerships with renowned tourism boards, and recognition as the Emerging Holiday Tech Company at the India Travel Awards 2023, Holiday Tribe is transforming the travel industry. Our mission is to redefine how Indians experience holidays making travel planning faster, smarter, and more personalized, ensuring every trip is truly seamless and unforgettable. Key Responsibilities AI System Development Design and implement Retrieval Augmented Generation (RAG) systems for travel recommendation and itinerary planning Build and optimize large language model integrations using frameworks like Lang Chain for travel-specific use cases Develop semantic search capabilities using vector databases and embedding models for travel content discovery Create tool-calling architectures that enable AI agents to interact with booking systems, inventory APIs, and external travel services Implement intelligent conversation flows for customer interactions and sales assistance Travel Intelligence Platform Build personalized recommendation engines that understand traveler preferences, seasonal factors, and destination characteristics Develop natural language processing capabilities for interpreting customer travel requests and preferences Implement real-time itinerary generation systems that consider multiple constraints (budget, time, preferences, availability) Create AI-powered tools to assist travel experts in creating customized packages faster Build semantic search engines for finding relevant travel content based on user intent and contextual understanding AI Agent & Tool Integration Design and implement function calling systems that allow LLMs to execute actions like booking confirmations, inventory checks, and pricing queries Build multi-agent systems where specialized AI agents handle different aspects of travel planning (accommodation, transportation, activities) Create tool orchestration frameworks that enable AI systems to chain multiple API calls for complex travel operations Implement safety and validation layers for AI-initiated actions in critical systems Data & Model Operations Work with travel knowledge graphs to enhance AI understanding of destinations, accommodations, and activities Implement hybrid search systems combining semantic similarity with traditional keyword-based search Build vector indexing strategies for efficient similarity search across large travel content databases Implement model evaluation frameworks to ensure high-quality AI outputs Optimize AI model performance for cost-efficiency and response times Collaborate with data engineers to build robust data pipelines for AI training and inference Cross-functional Collaboration Partner with product teams to translate travel domain requirements into AI capabilities Work closely with backend engineers to integrate AI services into the broader platform architecture Collaborate with UX teams to design intuitive AI-human interaction patterns Support sales and customer success teams by improving AI assistant capabilities Required Qualifications Technical Skills 3+ years of experience in AI/ML engineering with focus on natural language processing and large language models Strong expertise in RAG (Retrieval Augmented Generation) systems including vector databases, embedding models, and retrieval strategies Hands-on experience with Lang Chain or similar LLM orchestration frameworks, including tool calling and agent patterns Proficiency with semantic search technologies including vector databases, embedding models, and similarity search algorithms Experience with tool calling and function calling in LLM applications, including API integration and action validation Proficiency with major LLM APIs (Open AI, Anthropic, Google, etc.) and understanding of prompt engineering best practices Experience with vector databases such as Milvus, Weaviate, Chroma, or similar solutions Strong Python programming skills with experience in AI/ML libraries (transformers, sentence-transformers, scikit-learn) AI/ML Foundation Solid understanding of transformer architectures, attention mechanisms, and modern NLP techniques Deep knowledge of embedding models and semantic similarity techniques (sentence transformers, dense retrieval methods) Experience with hybrid search architectures combining dense and sparse retrieval methods Knowledge of fine-tuning approaches and model adaptation strategies Understanding of agent-based AI systems and multi-step reasoning capabilities Understanding of AI evaluation metrics and testing methodologies Familiarity with MLOps practices and model deployment strategies Software Engineering Experience building production-grade AI applications with proper error handling and monitoring Experience with API integration and orchestration for complex multi-step workflows Understanding of API design and microservices architecture Familiarity with cloud platforms (AWS, GCP, Azure) and their AI/ML services Experience with version control, CI/CD, and collaborative development practices Preferred Qualifications Advanced AI Experience Experience with multi-modal AI systems (text, images, structured data) Advanced knowledge of agent frameworks (LangGraph, CrewAI, AutoGen) and agentic workflows Experience with advanced semantic search techniques including re-ranking, query expansion, and result fusion Experience with model fine-tuning, especially for domain-specific applications Knowledge of tool use optimization and function calling best practices Understanding of AI safety, bias mitigation, and responsible AI practices Technical Depth Experience with advanced RAG techniques (hybrid search, re-ranking, query expansion, contextual retrieval) Knowledge of vector search optimization including indexing strategies, similarity metrics, and performance tuning Experience building tool-calling systems that integrate with external APIs and services Knowledge of graph databases and knowledge graph construction Familiarity with conversational AI and dialogue management systems Experience with A/B testing frameworks for AI systems Technical Challenges You'll Work On Building semantic search that understands travel intent ("romantic getaway" vs "adventure trip" vs "family vacation") Creating AI agents that can book multi-leg journeys by coordinating with multiple service providers Implementing tool calling systems that safely execute real booking actions with proper validation Designing RAG systems that provide accurate, up-to-date travel information from diverse sources Building conversational AI that can handle complex travel planning requirements Show more Show less

Office Management: Overseeing daily office operations, maintaining supplies, and ensuring a productive work environment. Communication: Handling incoming calls, emails, and correspondence, and potentially managing communication with clients. Scheduling: Coordinating meetings, appointments, and travel arrangements. Record Keeping: Maintaining both physical and digital files, ensuring confidentiality and easy retrieval of information. Support: Assisting with various administrative tasks as needed, potentially across different departments. Accounting: Financial Record Keeping: Maintaining accurate financial records, including data entry, reconciliation, and processing transactions. Invoicing and Payments: Handling accounts payable and receivable, ensuring timely payments and collections. Financial Reporting: Preparing and submitting financial reports and statements. Compliance: Ensuring compliance with financial policies and regulations. Client Interaction: Liaising with clients regarding billing issues and payment follow-ups. Tally Usage: Managing financial transactions and records using Tally software. Communication: Handling incoming calls, emails, and correspondence, and potentially managing communication with clients. Scheduling: Coordinating meetings, appointments, and travel arrangements. Record Keeping: Maintaining both physical and digital files, ensuring confidentiality and easy retrieval of information. Support: Assisting with various administrative tasks as needed, potentially across different departments. Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹18,000.00 per month Schedule: Day shift Location: George Town, Chennai, Tamil Nadu (Preferred) Work Location: In person

Job Overview: We are seeking an experienced and highly skilled Senior Data Engineer to join our team. This role requires a combination of software development and data engineering expertise. The ideal candidate will have advanced knowledge of Python and SQL, a solid understanding of API creation (specifically REST APIs and FastAPI), and experience in building reusable and configurable frameworks. Skill- Proficient combination of Python & SQL. Location: Bangalore & Hyderabad Key Responsibilities: Develop APIs & Microservices: Design, build, and maintain scalable, high-performance REST APIs using FastAPI and other frameworks. Data Engineering: Work on data pipelines, ETL processes, and data processing for robust data solutions. System Architecture: Collaborate on the design and implementation of configurable and reusable frameworks to streamline processes. Collaborate with Cross-Functional Teams: Work closely with software engineers, data scientists, and DevOps teams to build end-to-end solutions that cater to both application and data needs. Slack App Development: Design and implement Slack integrations and custom apps as required for team productivity and automation. Code Quality: Ensure high-quality coding standards through rigorous testing, code reviews, and writing maintainable code. SQL Expertise: Write efficient and optimized SQL queries for data storage, retrieval, and analysis. Microservices Architecture: Build and manage microservices that are modular, scalable, and decoupled. Required Skills & Experience: Programming Languages: Expert in Python, with solid experience building APIs and microservices. Web Frameworks & APIs: Strong hands-on experience with FastAPI and Flask (optional), designing RESTful APIs. Data Engineering Expertise: Strong knowledge of SQL, relational databases, and ETL processes. Experience with cloud-based data solutions is a plus. API & Microservices Architecture: Proven ability to design, develop, and deploy APIs and microservices architectures. Slack App Development: Experience with integrating Slack apps or creating custom Slack workflows. Reusable Framework Development: Ability to design modular and configurable frameworks that can be reused across various teams and systems. Excellent Problem-Solving Skills: Ability to break down complex problems and deliver practical solutions. Software Development Experience: Strong software engineering fundamentals, including version control, debugging, and deployment best practices. Why Join Us? Growth Opportunities: You’ll work with cutting-edge technologies and continuously improve your technical skills. Collaborative Culture: A dynamic and inclusive team where your ideas and contributions are valued. Competitive Compensation: We offer a competitive salary, comprehensive benefits, and a flexible work environment. Innovative Projects: Be a part of projects that have a real-world impact and help shape the future of data and software development. If you're passionate about working on both data and software engineering, and enjoy building scalable and efficient systems, apply today and help us innovate! Show more Show less

Title: Product Management - Senior Product Manager-Travel About Paytm Group: Paytm is India's leading financial services company that offers full-stack payments & financial solutions to consumers, offline merchants and online platforms. The company is on a mission to bring half a billion Indians into the mainstream economy through payments, commerce, banking, investments, and financial services. One97 Communications Limited that owns the brand Paytm is founded by Vijay Shekhar Sharma and is headquartered in Noida, Uttar Pradesh. Its investors include Softbank, Ant Financial, AGH Holdings, SAIF Partners, Berkshire Hathaway, T Rowe Price, and Discovery Capital. About Paytm Travel Business Be a part of one of Paytm's fastest growing businesses - Travel. Travel was launched in 2016 and in less than 12 months we became India's 2nd largest online travel booking platform for Flights, Trains, Hotels and Bus tickets. Paytm's Travel business is entirely based out of Bangalore. We are like a 300-member startup within Paytm working in a fast paced environment. Our team comprises Product & Design, Engineering, Business and Customer Experience functions. Join us if you would like to work in a fast paced, agile, entrepreneurial environment where every day brings with it an opportunity for you to create a dent in the universe. Our Story Paytm Travel has revolutionized the travel industry - with a goal to empower millions of travelers who choose us as their preferred travel partner. We are no. 2 in the travel segment, in India, within a span of few years, which proves our capability and potential to become no. 1 in the near future. Being one of the largest travel platforms in the country, our aim is to not only ensure seamless, instant booking, but also a delightful journey. We strive to enrich customer experience by making every transaction transparent, honest and hassle free. To stay ahead of the curve, we are working aggressively towards our ambition to make travel affordable for all. With this customer centricity at our core, we strive to make Paytm Travel synonymous with a trustworthy travel partner. What You'll Do: Own the roadmap for a key consumer-facing product within the travel ecosystem Collaborate cross-functionally with design, engineering, and business teams to deliver features that resonate with users Engage in technical discussions, understanding system design and architecture to make informed decisions Leverage AI technologies like LLMs (e.g. GPT, Claude), retrieval-augmented generation (RAG), recommendation systems, and conversational agents to enhance product intelligence and personalization Balance speed and quality, prioritizing rapid iterations over perfection to meet market demands What We're Looking For: 5-7 years of product management experience in consumer internet companies Mobile product experience (Android, iOS) is a must, with a keen eye for user experience. Should be able to have brainstorming discussions with tech on flutter vs native app. Hands-on experience with AI agents or agentic AI frameworks (e.g. AutoGPT, LangChain, OpenAgents) is a significant plus Educational foundation in Computer Science or a related technical field (preferred), MBA from a top tier b-school is a plus. Excellent data analysis and insights skills – comfort with metrics, funnels, experiments, and decision-making driven by data Analytical mindset, with the ability to question business constructs and drive data-informed decisions Excellent communication skills, capable of articulating ideas and collaborating with diverse teams Why Join Us: Impact at Scale: Influence products used by millions across India Innovative Environment: Be part of a team that's pushing the boundaries of travel technology Growth Opportunities: Potential to contribute to our Flights product, allocating efforts based on business needs Collaborative Culture: Work alongside passionate professionals in a dynamic, fast-paced setting Compensation: If you are the right fit, we believe in creating wealth for you. With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story! Show more Show less

Title: Product Management - Senior Product Manager-Travel About Paytm Group: Paytm is India's leading financial services company that offers full-stack payments & financial solutions to consumers, offline merchants and online platforms. The company is on a mission to bring half a billion Indians into the mainstream economy through payments, commerce, banking, investments, and financial services. One97 Communications Limited that owns the brand Paytm is founded by Vijay Shekhar Sharma and is headquartered in Noida, Uttar Pradesh. Its investors include Softbank, Ant Financial, AGH Holdings, SAIF Partners, Berkshire Hathaway, T Rowe Price, and Discovery Capital. About Paytm Travel Business Be a part of one of Paytm's fastest growing businesses - Travel. Travel was launched in 2016 and in less than 12 months we became India's 2nd largest online travel booking platform for Flights, Trains, Hotels and Bus tickets. Paytm's Travel business is entirely based out of Bangalore. We are like a 300-member startup within Paytm working in a fast paced environment. Our team comprises Product & Design, Engineering, Business and Customer Experience functions. Join us if you would like to work in a fast paced, agile, entrepreneurial environment where every day brings with it an opportunity for you to create a dent in the universe. Our Story Paytm Travel has revolutionized the travel industry - with a goal to empower millions of travelers who choose us as their preferred travel partner. We are no. 2 in the travel segment, in India, within a span of few years, which proves our capability and potential to become no. 1 in the near future. Being one of the largest travel platforms in the country, our aim is to not only ensure seamless, instant booking, but also a delightful journey. We strive to enrich customer experience by making every transaction transparent, honest and hassle free. To stay ahead of the curve, we are working aggressively towards our ambition to make travel affordable for all. With this customer centricity at our core, we strive to make Paytm Travel synonymous with a trustworthy travel partner. What You'll Do: Own the roadmap for a key consumer-facing product within the travel ecosystem Collaborate cross-functionally with design, engineering, and business teams to deliver features that resonate with users Engage in technical discussions, understanding system design and architecture to make informed decisions Leverage AI technologies like LLMs (e.g. GPT, Claude), retrieval-augmented generation (RAG), recommendation systems, and conversational agents to enhance product intelligence and personalization Balance speed and quality, prioritizing rapid iterations over perfection to meet market demands What We're Looking For: 5-7 years of product management experience in consumer internet companies Mobile product experience (Android, iOS) is a must, with a keen eye for user experience. Should be able to have brainstorming discussions with tech on flutter vs native app. Hands-on experience with AI agents or agentic AI frameworks (e.g. AutoGPT, LangChain, OpenAgents) is a significant plus Educational foundation in Computer Science or a related technical field (preferred), MBA from a top tier b-school is a plus. Excellent data analysis and insights skills – comfort with metrics, funnels, experiments, and decision-making driven by data Analytical mindset, with the ability to question business constructs and drive data-informed decisions Excellent communication skills, capable of articulating ideas and collaborating with diverse teams Why Join Us: Impact at Scale: Influence products used by millions across India Innovative Environment: Be part of a team that's pushing the boundaries of travel technology Growth Opportunities: Potential to contribute to our Flights product, allocating efforts based on business needs Collaborative Culture: Work alongside passionate professionals in a dynamic, fast-paced setting Compensation: If you are the right fit, we believe in creating wealth for you. With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story! Show more Show less

Job Title: GCP Teradata Engineer Location: Chennai, Bangalore, Hyderabad Experience: 4-6 Years Job Summary We are seeking a GCP Data & Cloud Engineer with strong expertise in Google Cloud Platform services, including BigQuery, Cloud Run, Cloud Storage , and Pub/Sub . The ideal candidate will have deep experience in SQL coding , data pipeline development, and deploying cloud-native solutions. Key Responsibilities Design, implement, and optimize scalable data pipelines and services using GCP Build and manage cloud-native applications deployed via Cloud Run Develop complex and performance-optimized SQL queries for analytics and data transformation Manage and automate data storage, retrieval, and archival using Cloud Storage Implement event-driven architectures using Google Pub/Sub Work with large datasets in BigQuery, including ETL/ELT design and query optimization Ensure security, monitoring, and compliance of cloud-based systems Collaborate with data analysts, engineers, and product teams to deliver end-to-end cloud solutions Required Skills & Experience 4 years of experience working with Google Cloud Platform (GCP) Strong proficiency in SQL coding, query tuning, and handling complex data transformations Hands-on experience with: BigQuery Cloud Run Cloud Storage Pub/Sub Understanding of data pipeline and ETL/ELT workflows in cloud environments Familiarity with containerized services and CI/CD pipelines Experience in scripting languages (e.g., Python, Shell) is a plus Strong analytical and problem-solving skills Show more Show less