6303 Retrieval Jobs - Page 24

Senior Drug Safety Associate Category: Reg Affairs & Safety Pharmacovigilance Location: Bangalore, Karnataka, IN Novo Nordisk Global Business Services Senior Drug Safety Associate Are you driven by challenges and energized by a fast-paced, dynamic environment? Do you thrive in a role where strategic alignment, stakeholder collaboration, and continuous improvement are key to success? We are looking for a Senior Drug Safety Associate to join our growing team in an international setting. In this pivotal role, you will work closely with cross-functional teams to ensure the highest standards of patient safety and regulatory compliance throughout the drug development lifecycle. Apply now and become part of a collaborative, forward-thinking environment where your expertise truly makes an impact. About The Department: Global Patient Safety Bangalore (GPS-BLR) was set up in 2010 as one of the hubs for safety case processing. We handle case processing and medical review of Individual Case Safety Reports from different sources (spontaneous, literature, solicited and clinical trials). We are additionally engaged in safety surveillance, safety medical writing, safety report submission, training, quality control of ICSRs, Argus configuration and maintenance, information technology quality assurance, training co-ordination and literature surveillance activities, including medical literature monitoring. The Position : As a Senior Drug Safety Associate you will be responsible for the comprehensive management of both serious and non-serious adverse event reports from various sources. Your core duties will include initial medical evaluation, accurate case entry, and verification of safety data within the Novo Nordisk safety database (Argus). You will ensure consistent and precise coding using MedDRA, evaluate causality, seriousness, and listedness, and ensure that case narratives reflect accurate and relevant safety information. You will also assess the need for follow-up, issue appropriate queries in the EDC system and/or to affiliates, and actively participate in weekly literature surveillance activities. Responsible to conduct medical evaluation, coding, and case processing of serious and non-serious adverse events in compliance with GxP and regulatory requirements, using Argus and MedDRA. Liaise with global affiliates, partners, and internal stakeholders to clarify safety data, ensure timely follow-up, manage local literature, and support compliance activities. Collaborate with Safety Reporting and IT teams for data retrieval, custom reporting, and to assess system/process changes impacting pharmacovigilance operations. Ensure Support system optimization and data integrity, collaborating with Safety Reporting and IT for custom data retrieval, reporting, and assessing the impact of system or process changes on pharmacovigilance activities. Mentor and train colleagues, act as a buddy, and proactively contribute to continuous process improvement across global safety functions. Qualifications: We are looking for a candidate who can bring the following skills and experience to the role: Graduation and/or post-graduation in Life Sciences (e.g., Medicine, Pharmacy, Biotechnology, Nursing). Minimum experience of 4 years in processing of Individual case safety reports (ICSR). Experience in mentoring, training, quality trend analysis will be preferred. Sound knowledge and hands-on experience in Pharmacovigilance and adverse event reporting processes which includes triage/intake, data entry, Quality review within various case types. Knowledge of safety databases like Argus and familiarity with MedDRA coding. Strong understanding of medical terminology, clinical pharmacology, and global PV regulatory requirements. Familiarity with GxP as well as GDPR standards and compliance expectations within a pharmaceutical setting. Proficient in MS Windows applications, including Excel, Word, Outlook, and PowerPoint. Excellent written and verbal communication skills in English, with a strong ability to convey medical and scientific concepts clearly. Proven ability to work within cross-functional teams and collaborate across global departments and affiliates. Demonstrated ability to foresee and assess the impact of system/process changes on safety operations. Solid understanding of Novo Nordisk products, including mechanisms of action, safety profiles, and patient populations. Experience working in a pharmaceutical company or a similar organization. Working at Novo Nordisk Novo Nordisk is a leading global healthcare company with a 100-year legacy of driving change to defeat serious chronic diseases. Building on our strong legacy within diabetes, we are growing massively and expanding our commitment, reaching millions around the world and impacting more than 40 million patient lives daily. All of this has made us one of the 20 most valuable companies in the world by market cap. Our success relies on the joint potential and collaboration of our more than 72,000 employees around the world. We recognize the importance of the unique skills and perspectives our people bring to the table, and we work continuously to bring out the best in them. Working at Novo Nordisk, we’re working toward something bigger than ourselves, and it’s a collective effort. Join us! Together, we go further. Together, we’re life changing. Contact To submit your application, please upload your CV online (click on Apply and follow the instructions). Deadline 29th July 2025. Disclaimer It has been brought to our attention that there have recently been instances of fraudulent job offers, purporting to be from Novo Nordisk and/or its affiliate companies. The individuals or organizations sending these false employment offers may pose as a Novo Nordisk recruiter or representative and request personal information, purchasing of equipment or funds to further the recruitment process or offer paid trainings. Be advised that Novo Nordisk does not extend unsolicited employment offers. Furthermore, Novo Nordisk does not charge prospective employees with fees or make requests for funding as a part of the recruitment process. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. We’re not your typical healthcare company. In a modern world of quick fixes, we focus on solutions to defeat serious chronic diseases and promote long-term health. Our unordinary mindset is at the heart of everything we do. We seek out new ideas and put people first as we push the boundaries of science, make healthcare more accessible, and treat, prevent, and even cure diseases that affect millions of lives. Because it takes an unordinary approach to drive real, lasting change in health.

Bangalore, Karnataka, India As an Internal Solution Specialist on the Global Customer Care team, you serve as the subject matter expert, providing essential support to the Care Experience, Customer Success, and internal Operations teams across all contact channels. Your role involves navigating seamlessly between various platforms to ensure a smooth and expert experience for every interaction. You are expected to deliver timely and effective solutions while demonstrating a deep understanding of both customer needs and the requirements of internal support roles, all while maintaining an empathetic approach. A strong customer and internal support-focused mindset, along with a proven track record in customer service, is essential for success in this position. Responsibilities : Efficient Application Login & Availability- Demonstrate proficiency in promptly logging into and navigating multiple business applications, ensuring consistent availability during scheduled work hours, except for designated breaks. This includes utilizing systems such as CRM platforms, background check databases, call center technology, and communication tools like Outlook and Teams. Adherence to a structured schedule meeting the established key performance indicators. Proactive Internal Team Engagement- Respond proactively to inquiries from our high-value internal customer support or operations teams through various communication channels, including chat, voice, email, and new communication channels as they are introduced. Utilize available tools to effectively manage availability status, ensuring consistent, prompt, and exceptional assistance to clients via support. Advanced Inquiry Management & Issue Resolution- Utilize your expertise to assess the purpose of each customer interaction through strategic questioning, as this role does not rely on scripted responses. You will handle a diverse range of inquiries, from rescheduling appointments to troubleshooting complex login issues. Each situation demands a customized approach, and you will deliver solutions that are specifically tailored to meet the unique needs of our valued customers via internal support teams. Expert Multi-tasking for Precise Issue Resolution- Leverage your advanced skills to swiftly and accurately resolve customer and internal support issues by utilizing information from a variety of business applications, resources, and supported customer platforms. This role requires adept navigation of multiple systems, thorough review of client-specific fact sheets for standard operating procedures and account details, and the ability to efficiently manage numerous screens and tasks simultaneously. You will conduct real-time data retrieval, execute search queries, and document resolutions with precision to ensure effective case management . Professional & Empathetic Communication- Engage in all interactions with the utmost professionalism, consistently maintaining a calm, courteous, and empathetic demeanor. Clearly articulate the situation to customer experience specialists or internal support partners and outline the specific steps you will take to address and resolve their issues. By doing so, you will ensure that customer satisfaction (CSAT) levels are met, making customers feel heard and supported throughout the process. (CSAT Scores may be relative to the Customer Experience teams only, and not direct to the Internal Solution Specialist, however they should be mindful of this employee experience and their performance outcomes at all times.) De-escalation & Quality Assurance - Effectively manage and de-escalate customer frustrations with a focus on maintaining professionalism. Must have demonstrated experience maintaining professionalism under pressure and provide positive customer experience. Accurate & Timely Documentation- Leverage extensive experience in documenting all interactions within company systems with exceptional promptness and accuracy. This involves meticulously capturing the reason for contact, either directly or via the case cloning process, thoroughly detailing the information shared with clients, internal support or escalation teams, and documenting the actions taken, resolutions achieved, knowledge documents or processes shared, and any necessary follow-ups. Proficiently enter and assign tickets to other departments, ensuring seamless communication in real-time during interactions as needed. Additionally, utilize expertise in case documentation by incorporating screen captures when required. It is crucial to complete all documentation either during the interaction or within two minutes of its closure, ensuring you are fully prepared and poised for the next inquiry. Effective Internal Communication & Follow-up- Follow up with internal teams as needed by using email and case notes in the CRM. Ensure that all communications are clear, professional, and grammatically correct. Provide updates and resolutions based on customer interactions, including research or escalation details. Complete additional projections as requested. This may include upward feedback to direct or lateral leaders. Continuous Learning & Training- Participate in required training to enhance customer support and stay informed about system updates, product changes, and evolving customer needs and services. This may include online courses, live or virtual sessions, and review of reference materials sent by email to ensure compliance with FA’s processes and service standards. Given the frequent product and process updates, staying informed and developing skills may also require consulting the help/resource center to access the latest information and guidelines. Contributing to Knowledge Base & Improvement- Contribute to the company’s knowledge reference center by helping enhance resources for future cases. Share insights and promote content that aids customer service improvement across the organization. Manage Work Pace and Quality - Utilize your extensive experience to effectively manage your work pace and maintain high-quality standards to meet and exceed performance goals. This includes achieving targets related to call volume, call duration, quality assurance scores, customer satisfaction, and strict compliance with processes. This is for both inbound customer experience calls, as well as assigned queue work that must be voluntarily assigned. Always uphold confidentiality and professionalism. Actively engaged with feedback from supervisors and performance metrics to drive continuous improvement in both efficiency and effectiveness. Adhere to company standards, regulatory requirements, and best practices will be instrumental in delivering exceptional service and results. Required skills : Demonstrated ability to handle a high volume of internal customer care or support contacts across various channels (phone, chat, email, etc.). Exhibited skill in using multiple software applications and systems simultaneously with ease. Displayed effectiveness on ability to quickly assess internal care and internal support needs and resolve issues efficiently. Communicate professionally and empathetically, both verbally and in writing. Document all internal care and support interactions accurately and follow procedures closely. Willingness to learn new tools, processes, and adapt to change to internal support needs, including providing feedback. This may include off queue duties such as role shadowing, training mentor, SME for client escalation. Maintain a calm, empathetic, and solution-focused demeanor in all situations. Confirmed aptitude in time management by handling tasks and applications efficiently. Showcased ability to multitask effectively in a fast-paced environment while ensuring high-quality service. Ensure attention to detail in all documentation to maintain accuracy and customer satisfaction. Adapt quickly to new systems, product updates, and changes in customer requirements. Collaborate with internal teams to share information and ensure timely issue resolution. Knowledge of common computer configurations and strong computer navigation skills. Prior experience with Microsoft Windows Operating Systems. Willingness to proactively offer feedback and understanding of data reporting. Willingness to participate in coordination with Workforce Management (WFM) and leaders in queue closing procedures. Qualifications: Graduation/ or equivalent required in full-time This role is intended to be performance-based skill progression through the Customer Experience Specialist role. Demonstrated 4+ years’ experience within into the space of customer experience/client servicing Work Location : Mumbai / Bangalore Perks and Benefits Health & Wellness Dental Insurance Vision Insurance Health Insurance Life Insurance Paid Time Off PTO / Vacation Policy Paid Holidays Financial Benefits 401K / Retirement Plan Tuition Reimbursement Employee Stock Purchase Plan Office Perks Work From Home Policy

A Software Development Engineer may assist their colleagues and more junior Software Development Engineer team members by solving problems, providing technical guidance, training and mentoring others. Exceptional attention to detail, strong analytical skills, excellent communication skills, an innovative mindset, the ability to solve complex problems and deep technical ability in software development programming within an agile environment will be key for success. We are actively seeking an exceptionally motivated individual who thrives on continuous learning and embraces the dynamic environment of a high-velocity team. Joining the Content Productization & Delivery (CPD) organization at Thomson Reuters, you will play a pivotal role in ensuring the quality, reliability, and availability of critical systems. These systems provide a suite of infrastructure services supporting a common set of search and information retrieval capabilities necessary for Thomson Reuters's research-based applications and APIs across its core products. Your responsibilities will encompass delivering content via shared services that underpin all our Tax and Legal Research products. About the role: In this opportunity as a Software Engineer, you will : Actively participates and collaborates in meetings, processes, agile ceremonies, and interaction with other technology groups. Works with Lead Engineers and Architects to develop high performing and scalable software solutions to meet requirement and design specifications. Provides technical guidance, mentoring, or coaching to software or systems engineering teams that are distributed across geographic locations. Proactively share knowledge and best practices on using new and emerging technologies across all the development and testing groups. Assists in identifying and correcting software performance bottlenecks. Provides regular progress and status updates to management. Provides technical support to operations or other development teams by assisting in troubleshooting, debugging, and solving critical issues in the production environment promptly to minimize user and revenue impact. Ability to interpret code and solve problems based on existing standards. Creates and maintains all required technical documentation / manual related to assigned components to ensure supportability. About You: You're a fit for the role of Software Engineer, if your background includes: Bachelor’s or master’s degree in computer science, engineering, information technology or equivalent experience 3 years of professional software development experience 3+ years of experience with Java and REST based services Ability to debug and diagnose issues. Experience with version control (Git, GitHub) Experience working with various AWS technologies (DynamoDB, S3, EKS) Experience with Linux Infrastructure as Code, CICD Pipelines What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . Position Summary The GPS Data & Analytics Software Engineer I role is accountable for developing data solutions. The role will be accountable for developing the pipelines for the data enablement projects, production/application support and enhancements. Additional responsibilities include data analysis, data operations process and tools, data cataloguing, and developing data SME skills in Global Product Development and Supply - Analytics and AI Enablement organization. Key Responsibilities The Data Engineer will be responsible for designing, building, delivering and maintaining high quality data products and analytic ready data solutions for GPS Cell Therapy Develop cloud-based (AWS) data pipelines using DBT and Glue Optimize data storage and retrieval to ensure efficient performance and scalability Collaborate with data architects, data analysts and stake holders to understand their data needs and ensure that the data infrastructure supports their requirements Ensure data quality and protection through validation, testing, and security protocols Implement and maintain security protocols to protect sensitive data Stay up to date with emerging trends and technologies in data engineering, analytical engineering and analytics and adapt with new technologies Participate in the analysis, design, build, manage, and operate lifecycle of the enterprise data lake and analytics focused digital capabilities Work in agile environment Debugging issues on the go Understanding the existing models if required and taking it forward Using JIRA for effort estimation, task tracking and communication about the task Using GIT for version control, quality checks and reviews Proficient Python, Spark, SQL, AWS Redshift, DBT, AWS S3, Glue/Glue Studio, Athena, IAM, other Native AWS Service familiarity with Domino/data lake principles Good to have knowledge/hands on experience in React Js for creating analytics dashboard if required Good to have knowledge about AWS Cloud Formation Templates Partner with other data, platform, and cloud teams to identify opportunities for continuous improvements Required: 1-3 years of experience in information technology field in developing AWS cloud native data lakes and ecosystems Understanding of cloud technologies preferably AWS and related services in delivering and supporting data and analytics solutions/data lakes Should have working knowledge of GIT and version control good practices Proficient in Python, Spark, SQL, AWS Services Good to have experience in React.js and Full stack technologies Good to have worked in agile development environment and have used JIRA or similar task tracking & management tools Good to have experience/knowledge of working with DBT Knowledge of data security and privacy best practices Ideal Candidates Would Also Have: Prior experience in global life sciences especially in the GPS functional area will be a plus Experience working internationally with a globally dispersed team including diverse stakeholders and management of offshore technical development team(s) Strong communication and presentation skills Other Qualifications: Bachelor's degree in computer science, Information Systems, Computer Engineering or equivalent is preferred If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol Responsibilities BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

The role of a HR manager is important to business success. People are our most important asset and you’ll be the one to ensure we have a happy and productive workplace where everyone works to realize our established mission and objectives. Promoting corporate values and shaping a positive culture is a vital aspect of this role Your Responsibilities Develop and implement HR strategies and initiatives aligned with the overall business strategy Bridge management and employee relations by addressing demands, grievances or other issues Manage the recruitment and selection process Prepares employees for assignments by establishing and conducting orientation and training programs. Support current and future business needs through the development, engagement, motivation and preservation of human capital Develop and monitor overall HR strategies, systems, tactics and procedures across the organization Nurture a positive working environment Oversee and manage a performance appraisal system that drives high performance Maintain pay plan and benefits program Assess training needs to apply and monitor training programs Report to management and provide decision support through HR metrics Ensure legal compliance throughout human resource management Maintains historical human resource records by designing a filing and retrieval system; keeping past and current records. Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies. Skill Sets/Experience We Require Proven working experience as HR manager or other HR executive People oriented and results driven Demonstrable experience with human resources metrics Knowledge of HR systems and databases Ability to architect strategy along with leadership skills Excellent active listening, negotiation and presentation skills Competence to build and effectively manage interpersonal relationships at all levels of the company In-depth knowledge of labor law and HR best practices Pedigree Bachelor’s degree or equivalent certifications in Human Resources or Organization Development Active participation in HR communities like SHRM/NHRD

Department : Technology / AI Innovation Reports To : AI/ML Lead or Head of Data Science Location : Pune Role Summary We are looking for an experienced AI/ML & Generative AI Developer to join our growing AI innovation team. You will play a critical role in building advanced machine learning models, Generative AI applications, and LLM-powered solutions. This role demands deep technical expertise, creative problem-solving, and a strong understanding of AI workflows and scalable cloud-based deployments. Key Responsibilities Design, develop, and deploy AI/ML models and Generative AI applications for diverse enterprise use cases. Implement, fine-tune, and integrate Large Language Models (LLMs) using frameworks like LangChain, LlamaIndex, and RAG pipelines. Build Agentic AI systems with multi-step reasoning and autonomous decision-making capabilities. Create secure and scalable data ingestion pipelines for structured and unstructured data, enabling indexing, vector search, and advanced retrieval. Collaborate with cross-functional teams (Data Engineers, Product Managers, Architects) to operationalize AI solutions. Build CI/CD pipelines for ML/GenAI workflows and support end-to-end MLOps practices. Leverage Azure and Databricks for training, serving, and monitoring AI models at scale. Required Qualifications & Skills (Mandatory) 4+ years of hands-on experience in AI/ML development, including Generative AI applications. Expertise in RAG, LLMs, and Agentic AI implementations. Strong knowledge of LangChain, LlamaIndex, or similar LLM orchestration frameworks. Proficient in Python and key ML/DL libraries : TensorFlow, PyTorch, Scikit-learn. Solid foundation in Deep Learning, Natural Language Processing (NLP), and Transformer-based architectures. Experience in building data ingestion, indexing, and retrieval pipelines for real-world enterprise scenarios. Hands-on experience with Azure cloud services and Databricks. Proven experience designing CI/CD pipelines and working with MLOps tools like MLflow, DVC, or Kubeflow. Soft Skills Strong problem-solving and critical thinking ability. Excellent communication skills, with the ability to explain complex AI concepts to non-technical stakeholders. Strong collaboration and teamwork in agile, cross-functional environments. Growth mindset with curiosity to explore and learn emerging technologies. Preferred Qualifications Familiarity with vector databases : FAISS, Pinecone, Weaviate. Experience with AutoGPT, CrewAI, or similar agent frameworks. Exposure to Azure OpenAI, Cognitive Search, or Databricks ML tools. Understanding of AI security, responsible AI, and model governance. Key Relationships Internal : Data Scientists, Data Engineers, DevOps Engineers, Product Managers, Solution Architects. External : AI/ML platform vendors, cloud service providers (Microsoft Azure), third-party data providers. Role Dimensions Contribute to AI strategy, architecture, and reusable AI components. Support multiple projects simultaneously in a fast-paced agile environment. Mentor junior engineers and contribute to best practices and standards. Success Measures (KPIs) % reduction in model development time using reusable pipelines. Successful deployment of GenAI/LLM features in production. Accuracy, latency, and relevance improvements in AI search and retrieval. Uptime and scalability of deployed AI models. Integration of responsible AI and compliance practices. Competency Framework Alignment Technical Excellence in AI/ML/GenAI Cloud Engineering & DevOps Enablement Innovation & Continuous Improvement Business Value Orientation Agile Execution & Ownership Cross-functional Collaboration (ref:hirist.tech)

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry. Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities ? Join us!. We'll love to explore more about you if you have. B 3+ years of experience in AI/ML. Strong coding skills in Python and familiarity with libraries like LangChain or Transformers. Interest in LLMs, agents, and the evolving open-source AI ecosystem. Eagerness to learn, experiment, and grow in a fast-paced environment. Your role at Level AI includes but is not limited to : Assist in building LLM-powered agents for internal tools and customer-facing products. Support prompt engineering, retrieval-augmented generation (RAG), and tool integrations. Collaborate on experiments with open-source and commercial LLMs (e.g., GPT, Claude, Mistral). Help implement and evaluate reasoning, planning, and memory modules for agents. Work closely with senior engineers to deploy and monitor AI features in production. Bonus Points Experience with open-source LLMs (LLaMA, Mistral, etc.) Basic understanding of vector search, RAG, and prompt engineering concepts Contributions to AI side projects or GitHub repos Exposure to vector databases or retrieval pipelines (e.g., FAISS, Pinecone). To learn more visit : https ://thelevel.ai/. Funding : https : https (ref:hirist.tech)

We Are Hiring : Data Engineer | 5+ Years Experience Job Description Job Title : Data Engineer Location : Ahmedabad Work Mode : On-Site Opportunity Experience : 5+ Years Employment Type : Full-Time Availability : Immediate Joiner Preferred Join Our Team as a Data Engineer We are seeking a passionate and experienced Data Engineer to be a part of our dynamic and forward-thinking team in Ahmedabad. This is an exciting opportunity for someone who thrives on transforming raw data into powerful insights and building scalable, high-performance data infrastructure. As a Data Engineer, you will work closely with data scientists, analysts, and cross-functional teams to design robust data pipelines, optimize data systems, and enable data-driven decision-making across the organization. Your Key Responsibilities Architect, build, and maintain scalable and reliable data pipelines from diverse data sources. Design effective data storage, retrieval mechanisms, and data models to support analytics and business needs. Implement data validation, transformation, and quality monitoring processes. Collaborate with cross-functional teams to deliver impactful, data-driven solutions. Proactively identify bottlenecks and optimize existing workflows and processes. Provide guidance and mentorship to junior engineers in the team. Skills & Expertise Were Looking For 4+ years of hands-on experience in Data Engineering or related roles. Strong expertise in Python and data pipeline design. Experience working with Big Data tools like Hadoop, Spark, Hive. Proficiency with SQL, NoSQL databases, and data warehousing solutions. Solid experience in cloud platforms - Azure Familiar with distributed computing, data modeling, and performance tuning. Understanding of DevOps, Power Automate, and Microsoft Fabric is a plus. Strong analytical thinking, collaboration skills, Excellent Communication Skill and the ability to work independently or as part of a team. Qualifications Bachelors degree in Computer Science, Data Science, or a related field (ref:hirist.tech)

Job Overview We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI, including LLM fine-tuning and prompt engineering. This role requires hands-on expertise across NLP, Computer Vision, and AI agent-based systems, with the ability to build, deploy, and optimize scalable AI solutions using modern tools and Skills & Qualifications : Bachelors or Masters in Computer Science, AI, Machine Learning, or related field. 4+ years of hands-on experience in AI/ML solution development. Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT. Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG). Proficient in key AI libraries and frameworks : LLMs & GenAI : Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers NLP : SpaCy, NLTK. Vision : OpenCV, MMDetection, YOLOv5/v8, Detectron2 MLOps : MLflow, FastAPI, Docker, Git Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation. Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure. Strong communication skills and ability to convert business problems into technical Qualifications : Experience building multimodal systems (text + image, etc.) Practical experience with agent frameworks for autonomous or goal-directed AI. Familiarity with quantization, distillation, or knowledge transfer for efficient model Responsibilities : Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications. Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality. Build NLP solutions for Q&A, summarization, information extraction, text classification, and more. Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks. Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines. Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features. Optimize models for performance, cost-efficiency, and low latency in production. Continuously evaluate new AI research, tools, and frameworks and apply them where relevant. Mentor junior AI engineers and contribute to internal AI best practices and documentation. (ref:hirist.tech)

Responsibilities Design, develop, and deploy LLM-based applications for AI-driven CRM solutions on Salesforce. Implement Retrieval-Augmented Generation (RAG) architectures to optimize the contextual accuracy of LLMs. Leverage Vector Databases (e.g., Pinecone, FAISS, etc; ) to manage and retrieve high-dimensional data for AI applications. Integrate external knowledge sources into AI models, enhancing their ability to deliver contextual and business-relevant insights. Collaborate closely with cross-functional teams (including DevOps, data, and engineering) to ensure AI solutions align with business objectives and scale effectively. Stay up-to-date with advancements in AI, including LLMs, RAG architectures, and innovations in database and cloud Required Skill Set : Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Proven experience working with LLMs (e.g., GPT, BERT) and implementing them in production-level applications. Expertise in RAG architecture for improving model relevance and performance in AI-driven systems. Strong experience with Vector Databases to handle large-scale, high-dimensional data. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Familiarity with deploying AI/ML models on cloud platforms with a focus on scalability. Excellent problem-solving skills and ability to work collaboratively in a dynamic, fast-paced Skills : Experience integrating AI models with CRM systems (ref:hirist.tech)

Company Description Acronotics Limited is a specialist consulting and services firm focused on modern-age automation technologies such as Robotic Process Automation (RPA) and Artificial Intelligence (AI). We apply human intelligence to build cutting-edge robotic automation & AI solutions for our clients. Our team consists of world-class automation & AI engineers, designers, consultants, and thought leaders. Our mission is to help clients design, develop, implement, and run game-changing, transformative robotic automation and AI solutions. Role Description We are looking for a detail-oriented and strategic Business Analyst with experience of working on IT projects dealing with corporate finance data. The ideal candidate will work at the intersection of business, data, and technology, acting as a bridge between the Finance team and the technical team. They will be instrumental in gathering requirements, validating outputs, ensuring alignment with business objectives, and supporting iterative delivery across phases. Key Responsibilities: Collaborate with stakeholders from Finance team to capture business requirements and translate them into actionable technical inputs. Analyze financial reports (e.g., Key Figures, Financial Statements, Capex Reports) and map them to underlying data structures (Power BI, OLAP Cubes). Facilitate UAT (User Acceptance Testing) and maintain traceability between requirements, test cases, and outcomes. Participate in Agile ceremonies and sprint reviews, ensuring business alignment and timely sign-offs. Work with data owners to document dataset definitions, KPIs, cube hierarchies, and metadata needed for model context. Requirements: 5+ years of experience as a Business Analyst in an IT services company working on corporate finance projects. Proficient in creating BRDs, user stories, workflows, and test cases. Strong understanding of financial reports, financial KPIs, variance analysis, forecasting, and budgeting processes. Experience working with BI tools such as Power BI and OLAP cubes (SSAS). Familiarity with Excel and PowerPoint-based financial commentaries and how they are used in decision-making. Exposure to AI, ML, or LLM-based platforms (e.g., Azure OpenAI, Copilot interfaces) is a plus. Comfortable working with semi-structured and structured data sources. Excellent communication skills – able to distill complex technical outputs into business-friendly narratives. Good to have: Experience of working on AI implementation projects. Experience with tools like JIRA, Confluence, or Azure DevOps. Certification in Business Analysis (CBAP/CCBA) or Agile (Scrum Product Owner/BA). Contribute to prompt engineering and RAG (Retrieval-Augmented Generation) context definition to improve AI performance. Location: Bangalore

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role In this essential role, you will be serving as Amgen’s Digital Asset Management (DAM) librarian. As a cross-functional position, you will collaborate closely with Regulatory Operations, engage with marketing teams as well as creative agencies to drive key commercial objectives. The day-to-day duties of this role will involve the quality checks of various promotional creative files, perform art buying services for Amgen’s marketing teams, and engaging creative agencies to coordinate the collection of core digital assets. A strong proficiency in graphic design and video editing software—such as Adobe Creative Suite, Premiere Pro, and After Effects—is critical for success in this role. Additionally, experience with Veeva PromoMats is essential. Roles and Responsibilities: Evaluate creative file submissions and system metadata of marketing materials, ensuring completeness, accuracy, and compliance with licensing requirements. Collaborate with creative agencies and marketing teams to oversee the renegotiation, renewal and collection of usage rights for marketing materials. Leverage company subscriptions to provide art procurement services in support of Amgen’s marketing initiatives. Retrieve, validate, and distribute digital asset packages to agencies and marketing teams, utilizing Amgen’s various data repositories. Facilitate and participate in stakeholder meetings to ensure adherence to Digital Asset Management (DAM) timelines and processes. Maintain and manage records in Veeva and SharePoint; prior experience with SharePoint and Veeva Business Admin certification preferred. Led and facilitate Webex/MS Teams meetings, including agenda preparation and accurate documentation of meeting minutes. Create infographics and presentation materials; perform technical editing and proofreading of process documentation. Required Knowledge and Skills: Fluent with Veeva PromoMats and RIM. Proficiency in Veeva digital asset management (DAM) systems and experience handling various file types, metadata, licensing agreements, and usage rights. Strong knowledge of Adobe Creative Suite (Photoshop, Illustrator, InDesign), Premier Pro, After Effects, as well as other design tools. Proficient in Microsoft Office Suite, including PowerPoint, Visio, Excel (with pivot tables), and Word. Familiarity with digital asset management (DAM) best practices, including asset tagging, archiving, and retrieval within Veeva, SharePoint, and BOX. Strong understanding of Veeva workflows, including initiating, reviewing, approving, and routing materials through the appropriate lifecycle stages. Proficiency in Veeva PromoMats and RIM with hands-on experience navigating the platform to manage promotional and medical content. Experience performing quality control (QC) checks on submitted materials to ensure compliance with US regulatory, legal, and brand standards. Ability to update and maintain metadata accurately within Veeva PromoMats and RIM, ensuring consistency with naming conventions, taxonomy, and version control requirements. Knowledge of compliance and US FDA regulatory requirements for promotional materials in the pharmaceutical or life sciences industry. Experience troubleshooting and resolving metadata or workflow issues, including collaboration with cross-functional teams (e.g., Regulatory, Marketing, or Creative Agencies). Detail-oriented mindset with the ability to identify discrepancies and ensure data integrity across documents and metadata fields. Comfortable working in a fast-paced, highly regulated environment, managing multiple tasks and priorities within tight deadlines. Strong communication skills to effectively liaise with stakeholders and provide guidance on Amgen’s Veeva PromoMats processes and best practices. Proven ability to manage multiple projects simultaneously while meeting deadlines and adhering to established processes. MS Outlook inbox management, including organizational skills, creating email rules, and standard email templates. Develop and maintain clear, structured process documents, SOPs, and workflow guides. Design and run periodic and ad hoc reports using Veeva’s reporting functionality to support leadership in the analysis and interpretation of performance data. Preferred Knowledge and Skills: Bachelor’s degree in graphic design, visual arts, marketing, or a related creative field. Minimum of +2 years of experience in marketing, pharmaceutical, or healthcare industries, with a strong understanding of creative design for promotional materials. Experience collaborating with creative agencies and cross-functional teams to facilitate the collection, transfer and distribution of marketing materials. Excellent attention to detail and ability to conduct thorough quality control checks on creative files for promotional content. Understanding of FDA regulations and compliance requirements related to marketing materials and submissions. Strong analytical and problem-solving skills to ensure accuracy in digital asset retrieval, troubleshooting file issues, validation, and distribution. Effective communication and stakeholder management skills to lead and participate in discussions regarding DAM timelines and creative file submission approvals. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Key Responsibilities: Input, update, and maintain company data in digital databases or records. Handle documentation, data processing, and record management efficiently. Support administrative departments by preparing reports, verifying information, and organizing files. Assist with daily operations such as data entry, billing, and invoicing. Verify the accuracy of data, correct discrepancies, and ensure data confidentiality. Coordinate with other departments to facilitate smooth workflow and information exchange. Manage emails, correspondence, and respond to internal or external queries as needed. Perform inventory management, resource procurement, or supply tracking if required. Conduct periodic audits to ensure compliance with internal policies. Maintain and archive company records systematically for easy retrieval. Requirements: Proven experience in back office operations or a similar administrative role is a plus. Proficient in MS Office Suite (Word, Excel, Outlook) and data entry. Strong organizational and multitasking skills. Excellent attention to detail and accuracy. Good communication skills (written and verbal). Ability to work independently as well as part of a team. High level of integrity and commitment to maintaining confidentiality. Minimum educational qualification: 12th pass; graduation preferred.

To manage the store operations efficiently, ensuring proper inventory control, timely issuance and receipt of materials, and compliance with company policies. The role requires technical understanding to handle engineering spares and materials relevant to electrical and mechanical equipment. Key Responsibilities:Inventory Management:Maintain accurate records of inventory using ERP or inventory software. Ensure optimal stock levels of spares, tools, and consumables. Perform regular stock audits and reconcile discrepancies. Material Handling:Supervise receipt and issue of materials with proper documentation. Inspect incoming materials for quality and quantity as per specifications. Classify, store, and tag materials appropriately for easy retrieval. Coordination:Coordinate with the purchase department for timely replenishment of stock. Liaise with maintenance, production, and engineering teams for their material requirements. Prepare daily, weekly, and monthly inventory reports. Compliance & Safety:Ensure the store is organized, clean, and adheres to safety and fire norms. Maintain proper documentation (GRN, MRN, Issue Slips, Stock Registers). Comply with company SOPs and ISO/quality systems.

Velocity Clinical Research is an owned and integrated research site organization, providing excellence in patient care, high quality data and fully integrated research sites. At Velocity, we align our values and behaviors to give our employees the best chance of delivering on our brand promise to bring innovative medical treatments to patients. We are committed to making clinical trials succeed by generating high quality data from as many patients as possible, as quickly as possible while providing exemplary patient care at every step. As an employee of Velocity, you are the most integral part of our mission. For talented candidates who perform at a high level, Velocity will invest to support career advancement and reward performance. Whether you are new to clinical research or are an industry veteran, we invite you to apply to Velocity. As a key member of our AI team, you will own the end-to-end AI/ML pipelines and be instrumental in integrating Generative AI (GenAI) technologies. You will work with technical product managers, chief data architect, and business users to build and productionize AI and LLM-based models that support data-driven decision-making and smart automation. You will leverage tools such as GitHub Copilot, Cursor, WindSurf, and modern GenAI frameworks to deliver intelligent, scalable solutions. Engineer and manage end-to-end data and AI/GenAI pipelines, including data extraction, cleansing, transformation, training, and model deployment Perform data analysis, LLM prompt design, and fine-tuning Integrate and productionize LLM-based solutions and support RAG pipelines for scalable inference Conduct and iterate on LLM evaluations (Evals) for model accuracy, relevance, and reliability Develop advanced dashboards and visualizations for operational and strategic insights Use dev tools such as GitHub Copilot, Cursor, WindSurf, and others to enhance development productivity Design and implement model monitoring and feedback loop mechanisms to continuously improve system performance and reliability Stay current with the latest in Generative AI, data science, and machine learning to evaluate and apply innovations to projects Education B.Tech in Computer Science or a related field Advanced diploma in Data Science, Machine Learning, or related area Experience 3+ years of experience building and deploying AI/ML models 3+ years of experience in building scalable data pipelines 3+ years in developing advanced visualizations that deliver impactful insights Experience working with LLM APIs (e.g., OpenAI, Hugging Face) Preferred Skills Strong grasp of AI/ML and GenAI techniques including prompt engineering, RAG (Retrieval-Augmented Generation), and LLM evaluations (Evals) Understanding of vector databases and embedding models Familiarity with cloud-native development (AWS, GCP, Azure) Strong understanding of databases, data lakes, and data warehouses Proficiency with development tools such as GitHub Copilot, WindSurf, Cursor, Replit, and related platforms NOTE The above Job Description is intended to communicate the general function of the mentioned position and by no means should be considered an exhaustive or complete outline of the specific tasks and functions that will be required. Additionally, specific tasks and duties of the position are subject to change as the Company, the department and circumstances change. All employees are expected to perform their duties within their ability as required by the job and/or as requested by management

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. Experience developing accessible technologies. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.The Google Home team focuses on hardware, software and services offerings for the home, ranging from thermostats to smart displays. The Home team researches, designs, and develops new technologies and hardware to make users’ homes more helpful. Our mission is the helpful home: to create a home that cares for the people inside it and the world around it. Responsibilities Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Job Summary: We are seeking a highly skilled and innovative Azure AI Engineer with hands-on experience designing and deploying scalable AI solutions using Microsoft Azure services. The ideal candidate will have a strong background in Azure AI Search , Azure Functions , Vector Databases , and advanced orchestration frameworks such as LangChain , LangGraph , or Semantic Kernel . Prior experience or interest in emerging agent-based architectures such as Crew AI or similar agent frameworks is a strong plus. Key Responsibilities: Design, develop, and deploy AI-powered applications using Azure services and modern orchestration tools. Build and maintain AI search experiences using Azure AI Search (formerly Cognitive Search) and integrate with vector-based retrieval systems. Implement serverless compute logic using Azure Functions for scalable and event-driven AI workflows. Work with Vector Databases (e.g., Azure Cosmos DB for vector search, Pinecone, Weaviate) to enable hybrid search and semantic retrieval. Utilize LangChain , LangGraph , or Semantic Kernel to build intelligent agent workflows, autonomous pipelines, and knowledge-based AI systems. Integrate and experiment with Crew AI-like multi-agent coordination and reasoning systems to simulate advanced AI behaviors. Collaborate closely with Data Scientists, Product Managers, and Software Engineers to turn prototypes into production-ready applications. Maintain a strong focus on performance, reliability, and security in cloud-deployed AI systems. Stay current on advancements in AI, LLM orchestration, vector search, and cloud-native machine learning tools. Required Qualifications: 5+ years of experience working with Microsoft Azure services, especially within the AI and Cognitive stack. Hands-on experience with Azure AI Search , Azure Functions , and Azure OpenAI Service . Proficiency in Python or Node.js, with experience integrating AI wrappers like LangChain , LangGraph , or Semantic Kernel . Strong understanding of Vector Databases and their role in semantic search and RAG (Retrieval Augmented Generation) pipelines. Experience building LLM-powered applications using structured frameworks and agents. Solid understanding of modern MLOps, DevOps practices, and cloud-native architectures. Strong problem-solving skills and ability to work in an agile, fast-paced environment.

Position Overview Job Title- Data Science Engineer, VP Location- Bangalore, India Role Description We are seeking a seasoned Data Science Engineer to spearhead the development of intelligent, autonomous AI systems. The ideal candidate will have a robust background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves designing and deploying AI solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Design & Develop Agentic AI Applications: Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language Models: Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. NER Models: Train OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge Graphs: Construct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-Functionally: Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimise AI Workflows: Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your Skills And Experience 13+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. Hands-on experience with vector databases and embedding techniques. Familiarity with RAG architectures and hybrid search methodologies. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. Strong problem-solving abilities and analytical thinking. Excellent communication skills for cross-functional collaboration. Ability to work independently and manage multiple projects simultaneously. How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Role-AI/ML Engineer Mandatory Skills - Python, ML libraries (Pytorch, Tensorflow), Gen AI, Kubernetes, NLP Good to have skill- MLOps Location: Hyderabad Only Work Type-Work from Office (5 Days in a week) Experience-4 to 8 Yrs. Skills Required - Strong programming skills in Python, Java, Spring Boot, or Scala. Experience with ML frameworks like TensorFlow, PyTorch, XGBoost, TensorFlow or LightGBM. Familiarity with information retrieval techniques (BM25, vector search, learning-to-rank). Knowledge of embedding models, user/item vectorization, or session-based personalization. Experience with large-scale distributed systems (e.g., Spark, Kafka, Kubernetes). Hands-on experience with real-time ML systems. Background in NLP, graph neural networks, or sequence modeling. Experience with A/B testing frameworks and metrics like NDCG, MAP, or CTR.

Job Title: AI/ML Engineer – Python (LLM, RAG, LangChain, LlamaIndex) Location: Pune Experience: 1-2 Years Employment Type: Full-time Working Mode : Work from office Working Day : Monday to Friday About The Role We are looking for a highly skilled AI/ML Engineer with strong Python expertise and hands-on experience in developing LLM-based applications. The ideal candidate should be proficient with Retrieval-Augmented Generation (RAG), LangChain, and LlamaIndex, and be passionate about building cutting-edge AI systems that combine machine learning with advanced language models. Key Responsibilities Design, develop, and deploy LLM-powered applications using frameworks like LangChain and LlamaIndex. Implement and optimize RAG pipelines to enable efficient and scalable retrieval and generation workflows. Fine-tune and integrate large language models (LLMs) such as GPT, LLaMA, Mistral, etc. Build and maintain vector databases (e.g., FAISS, Pinecone, Chroma) for semantic search and context augmentation. Work with unstructured data (documents, PDFs, web data) to extract and process meaningful content for use in AI applications. Collaborate with data scientists, product teams, and backend engineers to deploy AI features into scalable production systems. Monitor performance of deployed models and pipelines; continuously improve based on feedback and usage analytics. Stay updated with the latest developments in generative AI, prompt engineering, and open-source LLM tools. Required Skills & Experience 1+ years of hands-on experience in Python development for AI/ML applications. Solid understanding of large language models, prompt engineering, and model fine-tuning. Proficient with LangChain and LlamaIndex for building composable LLM workflows. Experience building RAG systems, including retrieval, chunking, embedding, and context injection. Familiarity with vector stores such as FAISS, Chroma, Weaviate, or Pinecone. Experience with Hugging Face Transformers, OpenAI, or similar model providers. Good understanding of REST APIs, microservices architecture, and deploying AI services in production. Nice To Have Exposure to cloud platforms (AWS, Azure, or GCP) and managed AI/ML services. Experience with LangGraph, AutoGen, or similar agent orchestration frameworks. Working knowledge of MLOps tools like MLflow, DVC, or Kubeflow. Understanding of data privacy, security, and ethical AI principles. Computer Vision Qualification: BE/Btech/MCA/MSC Benefits Work with state-of-the-art AI and LLM technologies Access to training, certifications, and conferences in AI/ML Collaborative and innovative work culture

About Tide At Tide, we are building a business management platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting. Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2,000 employees. Tide is rapidly growing, expanding into new products and markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money. About The Role A talented Data Scientist (DS-3) with generative AI expertise to contribute to the development and implementation of advanced AI solutions. You'll work on generative AI projects, applying your skills in LangChain, LangGraph, SQL, Python, AWS Bedrock, and Databricks to solve business challenges as part of our innovative team. As a Lead Data Scientist You’ll Be Implementation & Development: Implement generative AI solutions leveraging AWS Bedrock and Databricks based on established architectural patterns Technical Execution: Apply your expertise in generative AI, LLMs, and related technologies to deliver high-quality solutions Cross-Functional Collaboration: Work with product, engineering, and business teams to understand requirements and implement effective AI solutions Statistical Analysis: Apply appropriate statistical methods to validate models and hypotheses Data Analysis: Conduct thorough exploratory data analysis and handle data quality issues effectively Feature Engineering: Implement feature engineering techniques for ML models, including dimensionality reduction and feature selection Model Development: Build and tune generative AI models using frameworks like LangChain and LangGraph with proper regularization techniques Intent Classification: Implement intent detection systems combining LLMs with data analysis techniques Response Generation: Develop components for generating structured responses by combining AI with business rules Continuous Learning: Stay current with generative AI techniques and apply new approaches to improve solutions Documentation & Knowledge Sharing: Create clear documentation and share knowledge with team members Testing & Validation: Thoroughly test generative AI applications to ensure they meet requirements and quality standards What Are We Looking For 6+ years of experience in data science, machine learning, or related field 1+ years of hands-on experience with generative AI, large language models (LLMs), or natural language processing Experience with traditional NLP models and techniques Strong proficiency in Python and SQL for data retrieval and processing Solid understanding of statistics, hypothesis testing, and probability distributions Experience with LangChain, LangGraph for implementing AI workflows Understanding of prompt engineering, RAG (Retrieval Augmented Generation), and fine-tuning techniques for LLMs Experience implementing intent detection systems using generative AI Familiarity with rule-based systems to augment AI capabilities Experience with cloud platforms, particularly AWS services Familiarity with Knowledge Graphs for LLM use cases Knowledge of evaluation approaches for generative AI outputs Experience with Databricks or similar data processing platforms Nice To Have Advanced degree in Computer Science, Data Science, Machine Learning, or related field Experience in customer support AI applications Knowledge of vector databases and embedding techniques Familiarity with semantic search technologies Experience with data pipelines and ETL processes Knowledge of software development best practices including version control Contributions to data science or AI projects or communities What You Will Get In Return Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you’ll get: Competitive salary Self & Family Health Insurance Term & Life Insurance OPD Benefits Mental wellbeing through Plumm Learning & Development Budget WFH Setup allowance 15 days of Privilege leaves 12 days of Casual leaves 12 days of Sick leaves 3 paid days off for volunteering or L&D activities Stock Options TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. You personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice .

About Tide At Tide, we are building a business management platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting. Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2,000 employees. Tide is rapidly growing, expanding into new products and markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money. About The Role A talented Data Scientist (DS-3) with generative AI expertise to contribute to the development and implementation of advanced AI solutions. You'll work on generative AI projects, applying your skills in LangChain, LangGraph, SQL, Python, AWS Bedrock, and Databricks to solve business challenges as part of our innovative team. As a Lead Data Scientist You’ll Be Implementation & Development: Implement generative AI solutions leveraging AWS Bedrock and Databricks based on established architectural patterns Technical Execution: Apply your expertise in generative AI, LLMs, and related technologies to deliver high-quality solutions Cross-Functional Collaboration: Work with product, engineering, and business teams to understand requirements and implement effective AI solutions Statistical Analysis: Apply appropriate statistical methods to validate models and hypotheses Data Analysis: Conduct thorough exploratory data analysis and handle data quality issues effectively Feature Engineering: Implement feature engineering techniques for ML models, including dimensionality reduction and feature selection Model Development: Build and tune generative AI models using frameworks like LangChain and LangGraph with proper regularization techniques Intent Classification: Implement intent detection systems combining LLMs with data analysis techniques Response Generation: Develop components for generating structured responses by combining AI with business rules Continuous Learning: Stay current with generative AI techniques and apply new approaches to improve solutions Documentation & Knowledge Sharing: Create clear documentation and share knowledge with team members Testing & Validation: Thoroughly test generative AI applications to ensure they meet requirements and quality standards What Are We Looking For 6+ years of experience in data science, machine learning, or related field 1+ years of hands-on experience with generative AI, large language models (LLMs), or natural language processing Experience with traditional NLP models and techniques Strong proficiency in Python and SQL for data retrieval and processing Solid understanding of statistics, hypothesis testing, and probability distributions Experience with LangChain, LangGraph for implementing AI workflows Understanding of prompt engineering, RAG (Retrieval Augmented Generation), and fine-tuning techniques for LLMs Experience implementing intent detection systems using generative AI Familiarity with rule-based systems to augment AI capabilities Experience with cloud platforms, particularly AWS services Familiarity with Knowledge Graphs for LLM use cases Knowledge of evaluation approaches for generative AI outputs Experience with Databricks or similar data processing platforms Nice To Have Advanced degree in Computer Science, Data Science, Machine Learning, or related field Experience in customer support AI applications Knowledge of vector databases and embedding techniques Familiarity with semantic search technologies Experience with data pipelines and ETL processes Knowledge of software development best practices including version control Contributions to data science or AI projects or communities What You Will Get In Return Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you’ll get: Competitive salary Self & Family Health Insurance Term & Life Insurance OPD Benefits Mental wellbeing through Plumm Learning & Development Budget WFH Setup allowance 15 days of Privilege leaves 12 days of Casual leaves 12 days of Sick leaves 3 paid days off for volunteering or L&D activities Stock Options TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. You personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice .

Company Description The Association of Business Women in Commerce & Industry (ABWCI) is a global chamber dedicated to empowering women in business. We foster equity and inclusive prosperity through a supportive ecosystem. Our commitment includes providing access to investment capital, trade networks, and entrepreneurial education. ABWCI advocates for policies that create women-centric entrepreneurial ecosystems, aiming to foster a thriving society. Role Description This is a full-time, on-site role for an AI Full Stack Developer located in New Delhi. The AI Full Stack Developer will be responsible for both front-end and back-end web development tasks. The developer will work on designing, implementing, and maintaining web applications, ensuring seamless integration of AI functionalities. Day-to-day activities include coding, debugging, collaborating with team members, and staying updated with emerging technologies. Qualifications Front-End Development skills, including proficiency in HTML, CSS, and JavaScript Back-End Web Development skills, with experience in server-side languages and database management Proficiency in HTML, CSS, JavaScript/TypeScript, TailwindCSS or Bootstrap Proficiency in Node.js , Express.js , FastAPI , or Django Strong command of SQL and NoSQL databases (PostgreSQL, MongoDB, Redis) Knowledge of ETL pipelines , data preprocessing , and streaming data API design and consumption (REST/GraphQL) Integrate ML models using APIs or containers (FastAPI, Flask, BentoML) Familiarity with Python ML tools: TensorFlow, PyTorch, or Scikit-learn 3-4 years of expertise in Full-Stack Development , encompassing both front-end and back-end development including AI integration. Strong experience in Software Development, including knowledge of software development lifecycle and best practices Experience with AI technologies and their integration into web applications is a plus Proficiency with AWS , GCP , or Azure for full-stack & AI workloads Experience using cloud-native AI tools (e.g., AWS SageMaker, Google Vertex AI) API integrations with OpenAI , Anthropic , or Hugging Face Hub Hands-on experience with Docker , Kubernetes , and container orchestration Implementing secure authentication (OAuth2, JWT, SSO) Understanding of rate limiting, load balancing, and threat mitigation, performance tuning, caching (Redis, CDN), and lazy-loading for scalability Strong experience in developing and deploying AI/ML systems using frameworks like TensorFlow and PyTorch, with expertise in NLP (Transformers, spaCy), deep learning, LLMs (e.g., GPT, Claude), RAG pipelines, embedding models, and vector databases such as FAISS and Pinecone Unit, integration, and E2E testing with tools like Jest , PyTest , Selenium Consume and deploy ML/AI models via APIs or microservices Excellent problem-solving abilities and attention to detail Ability to work collaboratively in a team and communicate effectively Bachelor's degree in Computer Science, Engineering, or related field Bonus/Preferred Qualification Experience with LLMs and RAG (Retrieval-Augmented Generation) systems Contributions to open-source ML projects Certification in AI/ML or Cloud Platforms Experience in AI model serving , monitoring , and MLOps Perks & Benefits Competitive Salary Opportunity to work on cutting-edge AI-driven products You will be allowed to use co-pilots for development, we just want the work done as quick as possible! Location In-office, New Delhi All in all, we want some one who can develop websites and digital products from scratch and integrate AI system to introduce scalable and predictive systems with modern machine learning, front end and back end development, as a whole Full Stack Engineer with modern AI deployment skills. Join us, if you want to make an impact in a new world of opportunities!

We are looking for a creative and detail-oriented Graphic Designer to join our team. The role involves creating social media posts, brochures, and branding materials as per the company’s requirements. Key Responsibilities: Design engaging graphics for social media posts, stories, and campaigns. Create brochures, flyers, and other print materials as required. Edit basic videos and reels for digital platforms. Ensure consistency with brand guidelines across all designs. Collaborate with the marketing team for campaign planning and execution. Manage and organize design files for easy retrieval and updates. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹25,000.00 per month Benefits: Cell phone reimbursement Education: Diploma (Required) Experience: Graphic design: 3 years (Required) Location: Kollam, Kerala (Preferred) Work Location: In person

Mission: Ship fast, reliable AI (LLM + retrieval) features that users pay for. No vanity research. What You’ll Do Prototype & ship LLM features (chat, summarization, transform) weekly. Design & version prompts, add guardrails, run A/B + regression tests. Build lean RAG loops (ingest → chunk → embed → vector store → answer). Add evaluation harness (quality, hallucination, latency, token cost). Implement & secure lightweight FastAPI/Node endpoints (auth, rate limits, logging). Monitor latency, cost/user, error rates; add semantic + response caching. Redact PII; handle secrets & access keys safely. Write short decision notes & maintain prompt registry. Job Type: Contractual / Temporary Contract length: 4 months Pay: ₹11,796.23 - ₹88,885.64 per month Work Location: In person