5839 Retrieval Jobs - Page 39

Who are we? At Finastra, we are a dynamic global provider of open finance software solutions, dedicated to expanding access to financial services. Our innovative applications span Lending, Payments, Treasury and Capital Markets, and Universal Banking. Proudly serving over 8,000 customers, including 45 of the world's top 50 banks, we aim to boost financial inclusion for all. Join us and be part of a vibrant company that embraces diverse perspectives, and is committed to doing well by doing good. What will you contribute? As part of the Payment Services Strategy & Architecture team , the AI engineer designs, develops, analyzes, and maintains high-quality software product applications. This position is located in Pune office. Responsibilities & Deliverables Your deliverables as a AI Engineer will include, but are not limited to, the following: Participates in software design meetings and analyzes user needs to determine technical requirements. Designs and develops high-quality AI solutions Tests, debugs, analyzes and fixes application problems/issues. Works closely with stakeholders to fix issues in a timely fashion. Follows the software development lifecycle process. Interacts with internal stakeholders to support product releases and/or resolve program problems. Other duties and projects as assigned. Required Experience software development experience including design and development. Expertise in Python and relevant ML libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers. Familiarity with JSON, RESTful APIs, HTML, CSS, SQL preferred. Strong understanding of NLP techniques, including transformer architectures. Hands-on experience fine-tuning private LLMs (e.g., LLaMA, Gemma) Experience in RAG techniques, knowledge retrieval systems, and integrating LLMs with external data sources. Experience with cloud services for model deployment and scaling Financial industry experience preferred. Proficiency with Microsoft Office applications. Knowledge of software development methodologies and the software development lifecycle. Ability to provide solutions to a variety of technical problems of moderate scope and complexity independently. Strong technical, analytical, and development skills. Effective verbal and written communication skills; effective customer service skills. Ability to work independently or within a team environment and handle multiple projects simultaneously. Benefits We are proud to offer a range of incentives to our employees worldwide. These benefits are available to everyone, regardless of grade, and reflect the values we uphold: Flexibility: Enjoy unlimited vacation, based on your location and business priorities. Hybrid working arrangements, and inclusive policies such as paid time off for voting, bereavement, and sick leave. Well-being: Access confidential one-on-one therapy through our Employee Assistance Program, unlimited personalized coaching via our coaching app, and access to our Gather Groups for emotional and mental support. Medical, life & disability insurance, retirement plan, lifestyle and other benefits* ESG: Benefit from paid time off for volunteering and donation matching. DEI: Participate in multiple DE&I groups for open involvement (e.g., Count Me In, Culture@Finastra, Proud@Finastra, Disabilities@Finastra, Women@Finastra). Career Development: Access online learning and accredited courses through our Skills & Career Navigator tool. Recognition: Be part of our global recognition program, Finastra Celebrates, and contribute to regular employee surveys to help shape Finastra and foster a culture where everyone is engaged and empowered to perform at their best. Specific benefits may vary by location. At Finastra, each individual is unique, bringing their own ideas, thoughts, cultural beliefs, backgrounds, and experiences together. We learn from one another, embrace and celebrate our differences, and create an environment where everyone feels safe to be themselves. Be unique, be exceptional, and help us make a difference at Finastra!

Join us as a "Analyst" at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. To be successful as a "Analyst", you should have experience of UK Regulatory Landscape requirements. Basic/ Essential Qualifications Graduate with experience in Finance, Operations and Technology. International/ Industry Certifications in relevant areas will have added advantage. Desirable Skillsets/ Good To Have Risk and Control experience, prior engagement with KPMG/CCO/BIA streams in Barclays. Understanding of Data Management and BASEL IV. Understand the Barclays Mindset of an Individual contributor. You may be assessed on the key critical skills relevant for success in role, such as experience with Regulatory reporting tool like Axiom,, as well as job-specific skillsets. This role will be based out of ( Noida). Purpose of the role To enable effective data governance, risk management, and compliance within the bank, acting as a liaison between business units and the Data & Records Management (DRM) function, translating business needs into actionable strategies and ensuring efficient implementation of DRM. Accountabilities Partnership with the local business unit to ensure successful implementation of data & records governance frameworks as appropriate to the needs of the business unit. Provision of guidance and support on records classification, retention, storage, retrieval and disposal to business units. Monitoring local data quality and records metrics and identify areas for improvement. Identification of opportunities for data improvement and optimisation. Partnership with the relevant business unit to support their data priorities and ensure appropriate decisions related to data & records are embedded in their BAU decision making and change programs. Analyst Expectations Execute work requirements as identified in processes and procedures, collaborating with and impacting on the work of closely related teams. Check work of colleagues within team to meet internal and stakeholder requirements. Provide specialist advice and support pertaining to own work area. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how all teams in area contribute to the objectives of the broader sub-function, delivering impact on the work of collaborating teams. Continually develop awareness of the underlying principles and concepts on which the work within the area of responsibility is based, building upon administrative / operational expertise. Make judgements based on practise and previous experience. Assess the validity and applicability of previous or similar experiences and evaluate options under circumstances that are not covered by procedures. Communicate sensitive or difficult information to customers in areas related specifically to customer advice or day to day administrative requirements. Build relationships with stakeholders/ customers to identify and address their needs. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Company Description We are PrimeVigilance (part of Ergomed Group), a specialised mid-size pharmacovigilance service provider established in 2008. We are proud to have achieved global organic growth year after year, with staff based across Europe, North America and Asia all covering services within: Medical Information, Pharmacovigilance, Regulatory Affairs and Quality Assurance. PrimeVigilance provides first class support to our small to large pharmaceutical and biotechnology partners maintaining long lasting relationships and has become one of the global leaders in its field. We cover all therapy areas including medical device. We love investing in our staff by providing an excellent training and development platform. We value employee experience, well-being and mental health and we acknowledge that a healthy work life balance is a critical factor for employee satisfaction and in turn nurtures an environment from which a high-quality client service can be achieved. Come and join us in this exciting journey to make a positive impact in patient’s lives. Job Description POSITION SUMMARY The Client Quality Assistant supports the Client Quality team with administrative tasks, including but not limited to tracking, document preparation, compliance assessment and project planning. The Client Quality Assistant supports the Client Quality team in ensuring that its activities are managed in compliance with global regulations, legislation and PrimeVigilance requirements. Drives quality and compliance by ensuring tracking of completion of key quality tasks for projects. Role And Responsibilities Key responsibilities include (but are not limited to): Document organisation Data retrieval and tracking for different purposes Conduct periodic training reconciliation and maintenance of training matrix Generate metrics and KPI assessment Prepare documents´ drafts and/or final lay out, as applicable Organise meetings and teleconferences Assist with the organisation of Client Quality department Perform other miscellaneous administrative tasks, as applicable Assistance with preparation of documents for audit/inspection requests Specified Additional Responsibilities Other administrative support as required. The Client Quality Assistant will support the PrimeVigilance Senior Leadership team and the Associate Director of Quality with assigned quality related projects and responsibilities. Qualifications University graduate Advanced English (both spoken and written) Proficiency in all MS-Office applications including Microsoft Word, Excel, and PowerPoint 2-3 yrs of experience in an administrative position involving management and creation of reports Strong communication skills, attention to detail and problem-solving abilities Additional Information We prioritize diversity, equity, and inclusion by creating an equal opportunities workplace and a human-centric environment where people of all cultural backgrounds, genders and ages can contribute and grow. To succeed we must work together with a human first approach. Why? because our people are our greatest strength leading to our continued success on improving the lives of those around us. We Offer Training and career development opportunities internally Strong emphasis on personal and professional growth Friendly, supportive working environment Opportunity to work with colleagues based all over the world, with English as the company language Our core values are key to how we operate, and if you feel they resonate with you then Ergomed is a great company to join! Quality Integrity & Trust Drive & Passion Agility & Responsiveness Belonging Collaborative Partnerships We look forward to welcoming your application!

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview Global Information Security (GIS) – CST-Data Engineering & Analytics which provides deep engineering skills in Data model, storage, retrieval, and manipulation in technologies in CyberSecurity. Quite interesting work backlog with innovative technologies for Cyber Security to safeguard bank from Cyber Threat actors and ensure applications are Information & Cyber Secure. Job Description We are a tight-knit, supportive community focused on delivering the best experience for our customers while remaining sensitive to their unique needs. In this role, you will be using the experience you have gained throughout your career to provide firsthand operational deployment and support for commercial and custom software applications. While working within Microsoft and Linux environments, you will be an Technology Lead responsible for researching, designing, engineering, implementing, and supporting information security technologies. Individual will be part of the GIS Security, Operations & Threat Response ( SOTR ) team and would be responsible for data engineering aspects of the company with good team leadership experience with a strategic mindset with Agile/Scrum methodology based team having Solutioning and strong hands on development in C# .NET with React or Python at an Enterprise architecture level Responsibilities 12+ years of Team Leadership experience with a strategic mindset with Agile/Scrum methodology based team Solutioning and strong hands on development in C# .NET with React or Python Worked in Enterprise level architecture or solution based development Desirable Architectural design or Design thinking MBA or equivalent from reputed institute Stakeholder management of primarily US based leadership and teams Requirements Education : B.E. / B Tech / M.E. / M Tech / M.C.A Certifications If Any :Python or C# .NET with SQL Experience Range : 12+ years Foundational Skills In-depth knowledge of the various phases of the Systems Development Life Cycle 12+ years of Team Leadership experience with a strategic mindset with Agile/Scrum methodology based team Solutioning and strong hands on development in C# .NET with React or Python Worked in Enterprise level architecture or solution based development Architectural design or Design thinking MBA or equivalent from reputed institute Stakeholder management of primarily US based leadership and teams Proficient in Windows and Linux access systems Knowledge of database systems (MySQL or any RDBMS) Systems Engineering and Deployment experience Knowledge of policy-based and risk adaptive access controls. Must be able to identify, analyze and address problems to resolve issues whenever possible in way that minimizes negative impact and risk to the organization Ability to work independently on initiatives with little oversight Motivated and willing to learn A broad knowledge of information security principles Identity, Access, Authorization knowledge Strong analytical skills/problem solving/conceptual thinking Desired Skills Must be comfortable in delivering messages across a wide spectrum of individuals having varying degrees of technical understanding Comfortable with CI / CD process & tools associated with it – e.g., Ansible, Jenkins, JIRA, etc. Work Timings 11:30AM - 8:30PM (IST) Job Location* Chennai

About Energy Exemplar In an era where the world is rapidly advancing towards a cleaner future through decarbonization, Energy Exemplar’s mission lies in ‘Empowering Transformative Energy Decisions’. Founded in 1999 in Adelaide, Australia, our award-winning software portfolio encompassing the modeling and simulation platform PLEXOS®, Aurora, and Adapt2, is trusted by innovative organizations across the globe. Through our technology and people, we strive to enable stakeholders from across the entire energy value chain to revolutionize the energy ecosystem and to collaboratively plan and execute for a sustainable energy future with unprecedented clarity, speed, and innovation. Our impact is global and is being recognized across the industry. Some of our recent accolades include: SaaS Company of the Year (2025) – Global Business Tech Awards. Environmental Impact Award (2025) – E+E Leaders Awards. IPPAI (Independent Power Producers Association of India) Power Awards (2025) - Winners Finalist: Platts Global Energy Awards (2024) – Grid Edge category Finalist: Reuters Global Energy Transition Awards (2024) – Technologies of Change Top 50 Marketing Team (2024) – Voted by the public at the ICON Awards. How We Work Energy Exemplar is growing fast around 30% year on year and, that growth is driven by how we work. We trust our team to deliver great results from wherever they work best, whether that’s at home, in the office, or on the move. We’re a global team that values ownership, integrity, and innovation. You’ll be supported to balance work and life in a way that works for you, and empowered to take initiative, solve problems, and make an impact, regardless of your background, location, or role. Our four core values, Customer Success, One Global Team, Integrity & Ownership, and Innovation Excellence aren’t just words. They show up in how we collaborate, how we solve, and how we grow together. We're seeking a talented Generative AI Developer to join our Engineering team. In this role, you'll design, develop, and implement generative AI solutions to solve complex business problems. You'll collaborate with cross-functional teams to transform cutting-edge AI technologies into practical, scalable applications. Key Responsibilities Design and develop generative AI applications using large language models (LLMs), diffusion models, and other generative AI technologies Collaborate with data scientists, engineers, and business stakeholders to identify use cases and implement AI solutions Fine-tune and optimize models for specific client requirements and use cases Implement robust evaluation frameworks to assess model performance and mitigate potential risks Create prototypes and proof-of-concepts to demonstrate capabilities and gather feedback Develop and maintain technical documentation for AI systems Stay current with the latest advancements in generative AI technologies and methodologies Required Qualifications Bachelor's degree in Computer Science, AI, Machine Learning, or a related technical field 8+ years of relevant experience Strong programming skills in Python and familiarity with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face) Experience implementing LLM-based applications and understanding of prompt engineering Knowledge of generative AI concepts, including text generation, image generation, and multimodal systems Experience with API development and integration Strong problem-solving skills and ability to debug complex systems Preferred Qualifications Master's or PhD in AI, ML, or related field Experience with model fine-tuning, RLHF, and alignment techniques Knowledge of RAG (Retrieval-Augmented Generation) architectures Experience with vector databases and embedding models Familiarity with cloud platforms (AWS, GCP, Azure) and their AI/ML services Understanding of enterprise AI governance, security, and compliance requirements If you're passionate about applying generative AI to transform Energy Sector and want to contribute to development of more efficient and sustainable energy system and want to be at the forefront of this rapidly evolving field, we'd love to hear from you. Energy Exemplar is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. We welcome applications from people of all backgrounds, experiences, identities, and abilities. Please let us know if you require accommodations at any stage of the recruitment process—we're here to support you in showcasing your full potential. Energy Exemplar respects your privacy and is committed to protecting the personal data you share during the recruitment process. This Candidate Privacy Notice explains how we collect, use, and protect your personal information when you apply for a role with us.

Who we are We are one of the largest international law firms in the world. With over 30 offices across the globe, we strive to exceed the expectations of our clients, providing them with the highest-quality advice and legal insight, which combines the firm’s global standards with in-depth local expertise. Our firm, work and people span jurisdictions, cultures, and languages. We offer our clients a truly international perspective. We believe every career should be rewarding and stimulating - full of opportunities to learn, thrive, and grow. That’s why we’re so proud of our inclusive, friendly, and team-based approach to work. You’ll find our clients in commercial and industrial sectors, the financial investor community, governments, regulators, trade bodies, and not-for-profit organisations. But no matter who they are or why they’ve reached out to us, we provide a world-class service every step of the way. And that’s possible thanks to the entrepreneurial spirit and conscientious approach to work that you’ll find across all of our teams. Whichever area of the business you join, you’ll become an integral part an innovative, diverse and ambitious team of people. Clifford Chance is a place where the brightest minds and the best of colleagues meet. Job Description The role The Global Business Support (GBS) function provides high-quality support to Clifford Chance offices worldwide through its various teams, including Document Production, Design Studio, Junior Executive Assistants, Virtual Assistants, and World Firm EAs. As an Executive Assistant (EA), you will provide dedicated support to allocated GBS stakeholders, assisting with a range of executive and administrative tasks. The role requires flexibility, with key working hours spanning early mornings and afternoons. Adjustments to working hours may be expected upon reasonable request. Who you will work with You will report to the Senior Manager, VA Team, while working collaboratively with colleagues across London, Delhi, Hyderabad, Newcastle, and Warsaw, ensuring a seamless delivery of service across locations. What you will be responsible for You will be responsible for providing comprehensive executive assistance to your assigned stakeholders What you will do As an EA, you will provide executive assistance and support to the allocated Stakeholders, including, and not limited to: Inbox Management: Prioritise and streamline email correspondences, keeping the inbox organised and junk-free. File emails systematically to prevent overflow and ensure easy retrieval. Respond on behalf of the stakeholder when required. Calendar & Meeting Management: Proactively plan and manage dynamic calendars, resolving scheduling conflicts efficiently. Arrange meeting logistics, including agendas, pre-reads, and coordination. Attend meetings, take minutes, and circulate action points in a timely manner. Travel Management: Organise comprehensive travel itineraries, including flights, rail, taxis, hotels, visas, and travel insurance. Ensure calendars are updated with logistical details and maintain structured travel records. Expense & Budget Management: Accurately and promptly submit claims (expenses, mileage, etc.) with quick turnaround times. Assist with invoice processing, purchase orders, and budget tracking as required and delegate to Administrative Assistants appropriately. Documentation & Data Management: Prepare and maintain accurate documentation, including reports, presentations, and correspondences. Manage document control via iManage and other relevant platforms, ensuring efficient record-keeping. Project Coordination: Support stakeholders by researching, compiling, and analysing project data. Draft and review status reports, escalate risks and issues, and monitor project milestones. Make informed decisions independently to meet critical deadlines. Confidentiality & Integrity: Maintain the highest level of discretion and professionalism. Adhere to policies, procedures, and regulatory requirements while fostering trust and reliability in stakeholder interactions. Collaboration & Team Engagement: Work closely with stakeholders, ensuring seamless communication. Actively contribute to the VA Team in all offices, assist in onboarding new team members, and provide absence cover when needed. Ad-Hoc Support: Assist with various ad-hoc tasks, including onboarding new hires, managing distribution lists, organising off-sites and team gatherings, and supporting stakeholder upskilling initiatives Qualifications Your experience Qualifications & Experience Bachelor’s degree required; Master’s/MBA from a reputed institute preferred. 8+ years of experience, preferably in a multinational organisation with cross-cultural exposure. Proven experience supervising teams in a professional services environment, with a strong focus on service delivery and performance management. Prior experience supporting senior leadership, including minute-taking, presentation creation, and managing Excel-based reports. Project or programme management experience is desirable; coaching will be provided if needed. Stakeholder Management Strong stakeholder management skills, with the ability to influence and challenge at all levels. Comfortable working across international, regional, and local contexts. Structured and strategic approach to balancing long-, medium-, and short-term team priorities. Strong organisational and delegation skills. Communication & Collaboration Flexible and effective communicator—both verbal and written. Maintains regular and transparent communication with managers and colleagues. Approachable, helpful, and adaptable in a dynamic team environment. Analytical & Problem Solving Strong analytical skills, with the ability to gather, interpret, and present data insights. Excellent problem-solving ability; capable of breaking down complex issues and identifying solutions. Makes sound decisions based on available information or guidance. Proactively identifies opportunities to improve service quality based on stakeholder feedback. Work Ethic & Professionalism Demonstrates resilience and the ability to manage competing deadlines under pressure. Quick learner with a proactive, results-driven mindset. Able to manage workload independently and as part of a team. Exceptional attention to detail in all tasks and deliverables. Confident handling new and unfamiliar situations. How we will support you From your first day with us, you will have varied opportunities to continuously grow and development your skills and knowledge. From formal training, informal coaching and mentoring through to skills-based and technical training and on the job learning. Additional Information Equal opportunities At Clifford Chance, we understand that our true asset is our people. Inclusion is good for our team and their families, our firm and society. We are committed to treating all employees and applicants fairly and equally regardless of their gender, gender identity and expression, marital or civil partnership status, race, colour, national or ethnic origin, social or economic background, disability, religious belief, sexual orientation, or age. This applies to recruitment and selection, terms and conditions of employment including pay, promotion, training, transfer and every other aspect of employment. We have a variety of flourishing employee networks. These networks are a place for colleagues to share experiences and advocate for change wherever they see an opportunity for improvement. Our goal is to deliver an equality of opportunity, an equality of aspiration and an equality of experience to everyone who works in our firm. Find out more about our inclusive culture here

About Us: RocketFrog.ai is an AI Studio for Business, delivering cutting-edge AI solutions across Healthcare, Pharma, BFSI, Hi-Tech, and Consumer Services industries. We specialize in Agentic AI, Deep Learning models, and AI-driven Product Development to create real business impact. 🚀 Ready to take a Rocket Leap with Science? Role Overview: We are looking for an Agentic AI Engineer with 3 to 5 years of experience in designing, developing, and deploying AI-powered applications. The ideal candidate will have strong hands-on experience in Agentic AI frameworks, Prompt Engineering, and machine learning, with a keen interest in building intelligent systems that drive business outcomes. Key Responsibilities: Collaborate closely with business analysts to understand requirements and translate them into actionable AI agent workflows. Design and implement Agentic AI agents that solve complex business problems, ensuring they are scalable, efficient, and aligned with business goals. Build and optimize end-to-end AI systems, focusing on seamless automation, intelligent decision-making, and process improvements. Drive the development of intelligent workflows by integrating AI agents with existing enterprise systems and platforms. Lead the iterative improvement of AI-driven applications, constantly refining the models to enhance performance and business outcomes. Participate in client discussions to understand their challenges, propose AI-powered solutions, and ensure successful deployment and adoption. Continuously evaluate and improve the AI system’s accuracy, reliability, and responsiveness in real-world business environments. Contribute to the continuous learning culture by staying up-to-date with the latest AI research, tools, and frameworks. Required Skills & Expertise: AI/ML Engineering: Hands-on experience in building AI-driven applications with a focus on intelligent workflows and decision-making. Agentic AI Frameworks: Experience with frameworks such as LangGraph or LiveKit to design and develop Agentic AI solutions. LLM and Prompt Engineering: Expertise in optimizing interactions with large language models through advanced prompt engineering techniques. MCP & A2A: Proficiency in Multi-Channel Processing (MCP) and Agent-to-Agent (A2A) communication frameworks. RAG (Retrieval-Augmented Generation): Ability to apply RAG techniques to enhance AI response generation and improve model performance. System Architecture: Strong knowledge of building scalable architectures using tools like FastAPI, Uvicorn, and Celery. AI/ML Platforms: Experience with platforms like Hugging Face for using pre-trained models for business applications. Communication Skills: Ability to communicate complex AI/ML concepts clearly to both technical and non-technical stakeholders. Preferences: Working knowledge of Amazon Bedrock , Google Vertex AI , or Microsoft Azure AI Services . Mathematical Foundation: Strong foundation in data structures, probability & statistics, and machine learning. Required Background: Bachelor’s or Master’s degree in Computer Science , IT , Data Science , or AI . 3 to 5 years of work experience as an AI Engineer. Why Join RocketFrog.ai? 🚀 Be part of the growth journey of RocketFrog.ai! Work in an AI-driven company that is making a real business impact. Collaborate with leading AI experts and work on cutting-edge technologies. Enjoy a dynamic, fast-paced environment with career growth opportunities. 👉 If you are passionate about AI & innovation, let’s connect!

Job Description TP4 Developer Key Responsibilities Generative AI Systems Design: Architect scalable, high-performance applications powered by Generative AI models (e.g., LLMs, diffusion models), with a focus on real-world usability and business integration. Prompt Engineering & RAG Pipelines: Design and implement optimized prompt strategies and Retrieval-Augmented Generation (RAG) workflows using LangChain and similar frameworks. Agentic AI & Autonomous Workflows: Develop and manage intelligent agents capable of multi-step reasoning, planning, and decision-making using frameworks like LangChain Agents or custom implementations. Vector Store Integration: Design and integrate vector databases for semantic search and document retrieval in GenAI workflows. End-to-End AI Application Development: Build and deploy AI-driven applications from scratch using Python and modern ML/AI toolkits. Ensure clean integration with APIs, databases, and frontend services. Microservices & API Development: Create modular, maintainable backend services using microservices architecture. Ensure RESTful APIs for smooth communication. CI/CD & DevOps: Develop and maintain CI/CD pipelines for model and app deployment. Ensure reproducibility, automated testing, and smooth rollout using tools like GitHub Actions, GitLab CI/CD, or Jenkins. Database Management: Use PostgreSQL and NoSQL databases effectively in storing structured and unstructured data, with focus on performance, indexing, and scaling. Performance Optimization: Continuously monitor, benchmark, and optimize applications for performance, scalability, and cost-efficiency across cloud and on-prem environments. Collaboration & Mentorship: Work closely with product managers, AI researchers, and junior developers. Lead by example and provide technical mentorship in AI system design and production-readiness. Required Qualifications Technical Expertise: Strong proficiency in Python (mandatory) and experience with AI/ML libraries like FastAI, Hugging Face Transformers, and OpenAI APIs. Experience implementing LangChain workflows, prompt chaining, agents, tools, and memory systems. Hands-on experience building RAG systems using vector DBs like FAISS, Pinecone, Weaviate, or Chroma. Solid understanding of Generative AI technologies (LLMs, image/video generation, embeddings). Working knowledge of Agentic AI concepts for building autonomous tools and applications. Backend & Architecture: Strong skills in system design, API development, and microservices-based backend architecture. Experience with PostgreSQL and NoSQL databases (e.g., MongoDB, DynamoDB). Cloud & DevOps: Familiarity with CI/CD pipelines, containerization (Docker), and cloud deployments (AWS/GCP/Azure). Git-based version control and collaborative development workflows. Communication & Leadership: Ability to translate AI research into production-ready applications. Strong collaboration skills and experience leading engineering efforts or mentoring peers. Preferred (Nice To Have) Experience working with LLMOps tools Exposure to data labeling, fine-tuning, or custom LLM training. Familiarity with streaming architectures or real-time AI inference.

Job Title : Data Architect Location: Noida, India Data Architecture Design: Design, develop, and maintain the enterprise data architecture, including data models, database schemas, and data flow diagrams. Develop a data strategy and roadmap that aligns with business objectives and ensures the scalability of data systems. Architect both transactional (OLTP) and analytical (OLAP) databases, ensuring optimal performance and data consistency. Data Integration & Management: Oversee the integration of disparate data sources into a unified data platform, leveraging ETL/ELT processes and data integration tools. Design and implement data warehousing solutions, data lakes, and/or data marts that enable efficient storage and retrieval of large datasets. Ensure proper data governance, including the definition of data ownership, security, and privacy controls in accordance with compliance standards (GDPR, HIPAA, etc.). Collaboration with Stakeholders: Work closely with business stakeholders, including analysts, developers, and executives, to understand data requirements and ensure that the architecture supports analytics and reporting needs. Collaborate with DevOps and engineering teams to optimize database performance and support large-scale data processing pipelines. Technology Leadership: Guide the selection of data technologies, including databases (SQL/NoSQL), data processing frameworks (Hadoop, Spark), cloud platforms (Azure is a must), and analytics tools. Stay updated on emerging data management technologies, trends, and best practices, and assess their potential application within the organization. Data Quality & Security: Define data quality standards and implement processes to ensure the accuracy, completeness, and consistency of data across all systems. Establish protocols for data security, encryption, and backup/recovery to protect data assets and ensure business continuity. Mentorship & Leadership: Lead and mentor data engineers, data modelers, and other technical staff in best practices for data architecture and management. Provide strategic guidance on data-related projects and initiatives, ensuring that all efforts are aligned with the enterprise data strategy. Required Skills & Experience: Extensive Data Architecture Expertise: Over 7 years of experience in data architecture, data modeling, and database management. Proficiency in designing and implementing relational (SQL) and non-relational (NoSQL) database solutions. Strong experience with data integration tools (Azure Tools are a must + any other third party tools), ETL/ELT processes, and data pipelines. Advanced Knowledge of Data Platforms: Expertise in Azure cloud data platform is a must. Other platforms such as AWS (Redshift, S3), Azure (Data Lake, Synapse), and/or Google Cloud Platform (BigQuery, Dataproc) is a bonus. Experience with big data technologies (Hadoop, Spark) and distributed systems for large-scale data processing. Hands-on experience with data warehousing solutions and BI tools (e.g., Power BI, Tableau, Looker). Data Governance & Compliance: Strong understanding of data governance principles, data lineage, and data stewardship. Knowledge of industry standards and compliance requirements (e.g., GDPR, HIPAA, SOX) and the ability to architect solutions that meet these standards. Technical Leadership: Proven ability to lead data-driven projects, manage stakeholders, and drive data strategies across the enterprise. Strong programming skills in languages such as Python, SQL, R, or Scala. Certification: Azure Certified Solution Architect, Data Engineer, Data Scientist certifications are mandatory. Pre-Sales Responsibilities: Stakeholder Engagement: Work with product stakeholders to analyze functional and non-functional requirements, ensuring alignment with business objectives. Solution Development: Develop end-to-end solutions involving multiple products, ensuring security and performance benchmarks are established, achieved, and maintained. Proof of Concepts (POCs): Develop POCs to demonstrate the feasibility and benefits of proposed solutions. Client Communication: Communicate system requirements and solution architecture to clients and stakeholders, providing technical assistance and guidance throughout the pre-sales process. Technical Presentations: Prepare and deliver technical presentations to prospective clients, demonstrating how proposed solutions meet their needs and requirements. Additional Responsibilities: Stakeholder Collaboration: Engage with stakeholders to understand their requirements and translate them into effective technical solutions. Technology Leadership: Provide technical leadership and guidance to development teams, ensuring the use of best practices and innovative solutions. Integration Management: Oversee the integration of solutions with existing systems and third-party applications, ensuring seamless interoperability and data flow. Performance Optimization: Ensure solutions are optimized for performance, scalability, and security, addressing any technical challenges that arise. Quality Assurance: Establish and enforce quality assurance standards, conducting regular reviews and testing to ensure robustness and reliability. Documentation: Maintain comprehensive documentation of the architecture, design decisions, and technical specifications. Mentoring: Mentor fellow developers and team leads, fostering a collaborative and growth-oriented environment. Qualifications: Education: Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Experience: Minimum of 7 years of experience in data architecture, with a focus on developing scalable and high-performance solutions. Technical Expertise: Proficient in architectural frameworks, cloud computing, database management, and web technologies. Analytical Thinking: Strong problem-solving skills, with the ability to analyze complex requirements and design scalable solutions. Leadership Skills: Demonstrated ability to lead and mentor technical teams, with excellent project management skills. Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders.

About Improzo At Improzo (Improve + Zoe; meaning Life in Greek), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused for delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We're looking for a Data Scientist in Pune to drive insights for pharma clients using advanced ML, Gen AI, and LLMs on complex healthcare data. You'll optimize Pharma commercial strategies (forecasting, marketing, SFE) and improve patient outcomes (journey mapping, adherence, RWE). Key Responsibilities Data Exploration & Problem Framing: Proactively engage with client/business stakeholders (e.g., Sales, Marketing, Market Access, Commercial Operations, Medical Affairs, Patient Advocacy teams) to deeply understand their challenges and strategic objectives. Explore, clean, and prepare large, complex, and sometimes messy datasets from various sources, including but not limited to: sales data, prescription data, claims data, Electronic Health Records (EHRs), patient support program data, CRM data, and real-world evidence (RWE) datasets. Translate ambiguous business problems into well-defined data science questions and develop appropriate analytical frameworks. Advanced Analytics & Model Development Design, develop, validate, and deploy robust statistical models and machine learning algorithms (e.g., predictive models, classification, clustering, time series analysis, causal inference, natural language processing). Develop models for sales forecasting, marketing mix optimization, customer segmentation (HCPs, payers, pharmacies), sales force effectiveness (SFE) analysis, incentive compensation modelling, and market access analytics (e.g., payer landscape, formulary impact). Analyze promotional effectiveness and patient persistency/adherence. Build models for patient journey mapping, patient segmentation for personalized interventions, treatment adherence prediction, disease progression modelling, and identifying drivers of patient outcomes from RWE. Contribute to understanding patient behavior, unmet needs, and the impact of interventions on patient health. Generative AI & LLM Solutions Extracting insights from unstructured text data (e.g., clinical notes, scientific literature, sales call transcripts, patient forum discussions). Summarization of complex medical or commercial documents. Automated content generation for internal use (e.g., draft reports, competitive intelligence summaries). Enhancing data augmentation or synthetic data generation for model training. Developing intelligent search or Q&A systems for commercial or medical inquiries. Apply techniques like prompt engineering, fine-tuning of LLMs, and retrieval-augmented generation (RAG). Insight Generation & Storytelling Transform complex analytical findings into clear, concise, and compelling narratives and actionable recommendations for both technical and non-technical audiences. Create impactful data visualizations, dashboards, and presentations using tools like Tableau, Power BI, or Python/R/Alteryx visualization libraries. Collaboration & Project Lifecycle Management Collaborate effectively with cross-functional teams including product managers, data engineers, software developers, and other data scientists. Support the entire data science lifecycle, from conceptualization and data acquisition to model development, deployment (MLOps), and ongoing monitoring in production environments. Qualifications Master's or Ph.D. in Data Science, Statistics, Computer Science, Applied Mathematics, Economics, Bioinformatics, Epidemiology, or a related quantitative field. 4+ years progressive experience as a Data Scientist, with demonstrated success in applying advanced analytics to solve business problems, preferably within the healthcare, pharmaceutical, or life sciences industry using pharma dataset extensively (e.g. sales data from Iqvia, Symphony, Komodo, etc., CRM data from Veeva, OCE, etc.) Must-have: Solid understanding of pharmaceutical commercial operations (e.g., sales force effectiveness, marketing, market access, CRM). Must-have: Experience working with real-world patient data (e.g., claims, EHR, pharmacy data, patient registries) and understanding of patient journeys. Strong programming skills in Python (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and/or R for data manipulation, statistical analysis, and machine learning. Expertise in SQL for data extraction, manipulation, and analysis from relational databases. Experience with machine learning frameworks and libraries. Proficiency in data visualization tools (e.g., Tableau, Power BI) and/or visualization libraries (e.g., Matplotlib, Seaborn, Plotly). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is a significant advantage. Specific experience with Natural Language Processing (NLP) techniques, Generative AI models (e.g., Transformers, diffusion models), Large Language Models (LLMs), and prompt engineering is highly desirable. Experience with fine-tuning LLMs, working with models from Hugging Face, or utilizing major LLM APIs (e.g., OpenAI, Anthropic, Google). Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes). Knowledge of pharmaceutical or biotech industry regulations and compliance requirements like HIPAA, CCPA, SOC, etc. Excellent communication, presentation, and interpersonal skills, with the ability to effectively interact with both technical and non-technical stakeholders at all levels. Attention to details, biased for quality and client centricity. Ability to work independently and as part of a cross-functional team. Strong leadership, mentoring, and coaching skills. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge Analytics projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: data manipulation,analytics,llm,generative ai,commercial pharma,mlops,sql,python,natural language processing,data visualization,models,r,machine learning,statistical analysis,genai,data,patient outcomes

Greetings from EinNel Technologies! We're looking for Senior AI/ML Developers to join our growing Industrial Analytics team. The ideal candidate will have strong experience in designing and deploying AI-driven solutions using real-time data, with proven expertise in GenAI, LLM integration, and system-level protocols like A2A and MCP . Experience : 6–8 years Location : Bangalore/Chennai Notice Period : Immediate Joiners Preferred Key Responsibilities: Develop intelligent AI agents capable of retrieving and synthesizing contextual insights from multiple data sources Build and deploy machine learning models using real-time data streams Implement backend integrations using A2A and MCP protocols to support interoperability and data exchange between systems Design RAG-based (Retrieval-Augmented Generation) communication flows and recommendation engines Automate issue detection, monitoring, and resolution using LLMs and GenAI techniques Work with cloud-based tools (e.g., BigQuery , GCP ) for data storage, processing, and model deployment Contribute to architectural decisions and lead technical discussions across cross-functional teams Present insights and recommendations through reports and dashboards Preferred Qualification: B.E./M.E. in Computer Science, Information Technology, or a related field from a reputed institution Experience in deploying AI/ML solutions across domains such as industrial analytics, enterprise systems, or IoT platforms Interested candidates, please send your resume to careers@einnel.com or contact us at +91 7708813963.

LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We are much more than a digital resume – we transform lives through innovative products and technology. Creating economic opportunity for every member of the global workforce is a responsibility we all share. To truly transform the global economy, we must evolve the way we hire and enable our talent to serve people of all backgrounds and experiences. LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. Technology leaders collaborate, maintain balance, commit and achieve results – all while upholding immense pride in their quality of work. Our leaders value their craft and inspire their team to do the same. They balance product and technology strategy to put members first. They are responsible for attracting, retaining, engaging and developing their teams while also leading and inspiring them to achieve the goals of LinkedIn. Engineering leaders are champions of LinkedIn to their coworkers, their networks and the tech community. This role will be based in Bangalore, India. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. The Trust organization keeps Linkedin a safe and trusted platform, utilizing and advancing cutting edge AI technology. Within this organization, as a Director of Engineering, you will be responsible for leading the entire Content Abuse Engineering charter, including - The Content Abuse AI team, that builds models to prevent and detect violating and low quality content - The Content Abuse Apps Engineering, that builds end-to-end engineering solutions for content moderation. Responsibilities - You will lead a team AI and apps engineers and managers. - The team owns multiple charters including embedding based retrieval, generative AI, AI productivity, core foundational models, etc. - You will partner with cross functional leads to define near-term and long-term roadmaps for content moderation. - You will work closely with LinkedIn India leadership to build up LinkedIn’s brand in India, with a particular focus on AI. Basic Qualifications - 15+ years experience in machine learning, in particular natural language processing, computer vision, generative AI, large language models, or similar areas. - MS or PhD in Computer Science, Artificial Intelligence or related engineering experience. - 10+ years experience in people management. Preferred Qualifications - Strong background in machine learning and data mining techniques. - 5+ years managing teams of 30+ individuals and first-line managers. - Good understanding of large scale engineering systems and some or all of big data technologies like Hadoop, Spark, Machine Learning, distributed key-value stores, streaming processes, workflow scheduler, recommender systems, statistical methods, and experimental design. - Experience in content moderation. - Ability to lead by example and inspire the team to perform at a very high level, and collaborate very well across different teams. - Highly motivated and has the ability to convert vague and ill-defined problems into well-defined problems, take initiative and encourage consensus building across the entire organization. - Enthusiasm for solving interesting problems for real customers. - A proven track record of delivering end-to-end solutions for high QPS systems that require working with massive amounts of data. - Strong leadership abilities in order to communicate and drive cross-functional efforts - Good relationship building and people skills. Suggested Skills: - People leadership - Strategic thinking - Problem solving You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal

Role: Prompt Engineer (Full-time Internship, Remote) This is a remote full-time paid internship for a Prompt Engineer. You will help us push the boundaries of what LLMs can do by designing, testing, and optimizing individual prompts as well as multi-step prompt chains to solve complex tasks. Responsibilities Prompt Crafting : Design, edit, and refine prompts for different use cases and models. Prompt Chaining : Break down complex tasks into smaller subtasks and build effective multi-step prompt workflows (e.g., summarization → critique → rewrite). Benchmarking & Evaluation : Use Python to run automated performance benchmarks based on KPIs like accuracy, cost, and latency. Iterative Improvement : Run A/B tests, gather output samples, and tweak prompts based on failure cases and edge conditions. KPI Optimization : Ensure prompt chains meet predefined goals like output quality, relevance, length, and compute cost. Model Awareness : Stay updated with the latest in GPT, Claude, Gemini, and open-source LLMs. Tooling & Automation : Build or use lightweight tooling for prompt testing, logging, and result comparison. Documentation : Maintain a structured prompt logbook with evaluations, learnings, and chain architecture. Salary: Rs.20,000/month Duration : 3–6 months Must-Have Qualifications Strong Python scripting and automation experience. Experience using OpenAI or other LLM APIs. Understanding of prompt chaining or multi-step reasoning with LLMs. Comfort with debugging and improving prompts using test inputs and edge cases. Strong communication and analytical skills. Familiarity with basic evaluation techniques (BLEU, ROUGE, token count, etc.). Nice-to-Have LangChain or similar framework experience. Experience working with vector DBs, retrieval-augmented generation (RAG), or memory components. Knowledge of how to manage context windows and output formatting across models. Open-source contributions or published prompt collections. Ideal For Final-year students who have semester break for internship or recent grads ambitious about AI/LLMs and looking to develop real-world prompt engineering and model optimization skills. You’ll work closely with founders to build robust, high-performing AI workflows for production-grade products.

Executive Assistant Job Description Role & responsibilities As an Executive Assistant, you'll play a crucial role in ensuring the Director's day-to-day operations run smoothly. Your responsibilities will include managing and organizing the Director's calendar via Google Calendar, scheduling and coordinating meetings, and ensuring appointments are efficiently planned. You'll provide comprehensive administrative support, including document preparation for meetings, presentations, and reports. You'll also be involved in drafting and editing communications and ensuring timely follow-up on action items from meetings. Maintaining an organized filing system for easy document retrieval will be part of your duties, as will preparing and reviewing reports, presentations, and correspondence on behalf of the Director. In this role, you will screen and prioritize emails, calls, and meeting requests. You'll act as the key point of contact between employees and the Director, ensuring timely and effective communication. You'll also be responsible for preparing agendas, taking meeting minutes, and tracking follow-up action items for both internal and external meetings. Additionally, you'll coordinate and facilitate meetings, conference calls, and virtual appointments, while ensuring that all deadlines are met by organizing and prioritizing tasks efficiently. Another aspect of this role involves monitoring and managing facility management systems (FMS) tasks, keeping the Director updated on important issues. Preferred Candidate Profile We are looking for someone with experience managing communication and scheduling for senior management, and familiarity with office management tools and systems. The ideal candidate will have at least 2-3 years of experience as an Executive Assistant or in a similar role, and proficiency in Google Workspace (Google Calendar, Gmail, Docs, Sheets) is essential. Excellent communication and interpersonal skills are a must, as well as strong organizational and multitasking abilities. High attention to detail and the ability to prioritize tasks efficiently are also crucial. Professionalism and discretion in handling confidential matters are essential traits we are looking for in our ideal candidate. Skills: multitasking,task prioritization,google calendar,communication management,virtual appointments,google workspace,interpersonal skills,discretion,manage facility management systems (fms),coordinating meetings,google docs,organizational skills,administrative,prioritize emails,presentations,communication skills,document preparation,office management tools and systems,attention to detail,scheduling,sheets,management,communication,docs,google sheets,filing system,conference calls,gmail

We are seeking a highly experienced Manager - Contracts to oversee and manage contract negotiations, execution, and compliance for real estate projects. The ideal candidate will have extensive experience in the field and a background in civil engineering. Key Responsibilities Contract Negotiation : Lead and manage the negotiation of contracts with vendors and subcontractors, ensuring favorable terms and conditions for the company. Contract Compliance : Ensure all project activities comply with contractual terms and legal requirements, taking corrective actions as needed. Risk Management : Identify and mitigate contract-related risks through detailed analysis and effective management strategies. Stakeholder Communication : Act as the primary point of contact for contract-related communications with internal teams and external partners. Documentation and Records Management : Maintain accurate and comprehensive contract documentation, ensuring easy retrieval and audit readiness. Cost Monitoring : Oversee budget adherence and monitor costs associated with contracts to ensure financial efficiency. Software Proficiency : MS-Office Key Requirements Experience : 10-15 years of experience in contract management within the real estate or construction industry. Education : Bachelor's degree in Civil Engineering, B.Tech/B.E. in Civil, or a relevant degree. Skills : Strong negotiation, communication, and analytical skills, with a keen eye for detail. communication skills Apply on - https://olous.app/job/686e31bd294c1057246bbc9b

Hello Connections, Our client is prominent Indian multinational corporation specializing in information technology (IT), consulting, and business process services and its headquartered in Bengaluru with revenues of gross revenue of ₹222.1 billion with global work force of 234,054 and listed in NASDAQ and it operates in over 60 countries and serves clients across various industries, including financial services, healthcare, manufacturing, retail, and telecommunications. The company consolidated its cloud, data, analytics, AI, and related businesses under the tech services business line. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru, kochi, kolkatta, Noida. Job Title: Mainframe cobol developer · Location: chennai,pune,hyderabad,coimbatore · Experience: 6+ Year to 9year(relevant in mainframe cobol developer 6Year) · Job Type : Contract to hire. Work Mode : Work from Office (5day) · Notice Period:- Immediate joiners(who can able to join july 3rd week) Mandatory Skills: Mainframe Cobol Developer, JCL, DB2, VSAM, CICS (relevant in mainframe cobol developer 6 Year) -Good Mainframe Coding Skills - COBOL and JCL/VSAM -Knowledge about OPC and ENDEAVOR. -Develop and support Mainframe batch application. -Good to have prior Banking Knowledge (SE/DE) -Analysis, Design, Development and Unit Testing for assigned stories/features. -Attend client meetings to discuss and provide regular update on the assigned task. -Participate in client Walkthough/review. -Monitor the application and Fix Batch Issues/Abends. -Support system testing if required. -Ability to collaborate and work with the Team. Optional: DB2/CICS Banking Domain should be atleast 4 years of experience Roles and Responsibilities: Responsibilities: COBOL Programming: Develop, maintain, and enhance COBOL applications that meet business requirements. Write, test, and debug COBOL code for high-performance batch and online processing. Modify and update existing COBOL applications to improve efficiency or add new features. JCL (Job Control Language): Create and maintain JCL scripts to manage batch jobs for data processing. Ensure that JCL is optimized for job scheduling, monitoring, and error handling. Troubleshoot and resolve JCL-related issues that impact batch processing. DB2 (Database): Design and develop DB2 queries to interact with databases, ensuring optimal performance. Integrate COBOL programs with DB2 for data retrieval, insertion, and updating. Ensure database integrity and handle SQL optimization for large-scale banking transactions. VSAM (Virtual Storage Access Method): Work with VSAM files to store and retrieve data efficiently. Ensure that COBOL programs interact seamlessly with VSAM files. Perform file management tasks such as creating, deleting, and maintaining VSAM datasets. CICS (Customer Information Control System): Develop and maintain CICS-based applications, ensuring seamless communication between online programs and data resources. Optimize transaction processing in a CICS environment, focusing on real-time banking applications. Debug and resolve any issues related to CICS transactions, ensuring minimal downtime. Agile Methodology: Participate in Agile ceremonies, including daily standups, sprint planning, and retrospectives. Collaborate with cross-functional teams to deliver features incrementally and meet sprint goals. Ensure timely delivery of COBOL-based solutions within Agile sprints. Banking Domain Knowledge: Develop software that aligns with banking regulations, business processes, and security standards. Ensure data accuracy and consistency in financial transactions, account management, and payment systems. Stay informed about changes in the banking domain and ensure the software complies with industry standards and regulations. Testing and Documentation: Write unit tests and perform thorough testing of COBOL programs, ensuring high-quality output. Document code, workflows, and processes for future reference and regulatory purposes. Provide clear documentation for troubleshooting, maintenance, and knowledge sharing. Performance Optimization: Analyze the performance of COBOL applications and optimize them for speed and efficiency, particularly for high-volume banking transactions. Identify and resolve bottlenecks in the system. Collaboration and Communication: Work closely with business analysts, project managers, and other developers to understand business needs and translate them into technical solutions. Communicate effectively with stakeholders to manage expectations and provide updates on project progress. Below skills relevant experience : Cobol developer - JCL - DB2 - VSAM - CICS - Banking domain - OPC and ENDEAVOR- notice period - virtual interview L1 -12th july- yes/no- CTC- ECTC-

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

About the Company We are looking for an experienced Python Developer with expertise in using TensorFlow/PyTorch, LangChain, OpenAI API, Elasticsearch and a deep understanding of Natural Language Processing to help us develop and optimize high-performance applications. About the Role You will be responsible for implementing, testing, and maintaining data pipelines, machine learning models, and NLP techniques to extract valuable insights from data. Responsibilities Design, develop, and maintain Python-based data analysis and machine learning applications with clean and well-documented code Develop, optimize and deploy ML models for information retrieval, LLM-based agents, embeddings (FAISS, Pinecone, Weaviate), predictive analytics, and Retrieval-Augmented Generation (RAG) Research and implement NLP algorithms for text classification, sentiment analysis, named entity recognition (NER), and topic modeling, including troubleshooting and debugging to ensure reliable performance at scale Implement data pipelines and ETL processes for big data processing Collaborate with cross-functional teams to understand business requirements and build scalable tech Qualifications Strong proficiency in Python with hands-on experience in libraries like Pandas, NumPy, scikit-learn, TensorFlow, PyTorch Expertise in information retrieval, statistical analysis, data visualization and developing LLM-based agents, embeddings (FAISS, Pinecone, Weaviate), predictive analytics, and Retrieval-Augmented Generation (RAG) Hands-on experience with Natural Language Processing (NLP) libraries such as NLTK, spaCy, Hugging Face, or similar tools Experience with data wrangling techniques, including cleaning, transforming, and merging data sets from various sources Familiarity with machine learning algorithms and frameworks (supervised, unsupervised learning, and deep learning techniques) Solid understanding of text analytics such as text pre-processing, tokenization, stemming, lemmatization, and part-of-speech tagging Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) is a plus. Knowledge of data visualization tools (Matplotlib, Seaborn, ggplot2, Plotly, etc.) Strong problem-solving skills and attention to detail with ability to work in an agile, fast-paced environment and deliver results under tight deadlines Required Skills 4 year Bachelor’s degree in Computer Science, Information Technology, Data Science, Statistics or related domains, or equivalent qualification 4+ years in developing scalable ML models, NLP models and systems from 0 to 1 and deploying them to production Strong knowledge of RESTful APIs and GraphQL for frontend-backend communication Familiarity with version control using Git, CI/CD tools, and deployment pipelines Knowledge of big data tools and platforms (Spark, Hadoop, etc.) and experience with managing databases

Location: Chennai, Tamil Nadu, India Job ID: R0097953 Date Posted: 2025-07-10 Company Name: HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED Profession (Job Category): IT, Telecom & Internet Job Schedule: Full time Remote: No Job Description: The opportunity: To software development using Power Apps, power automate & SharePoint as per j ob d e scripti o n. How you’ll make an impact: To develop complex applications with Microsoft power Apps, Power Automate using SharePoint / Dataverse or SQL as backend. Propose and guide team to establish App’s data storage and retrieval in Enterprise data platform (using data lake, data bricks) To Connect with business to gather requirement and set priorities for development. Connect with subject matter experts to understand the business processes. Organize the change requests in a structured manner with excellent traceability. Convert the business requirements into process flow chart. Shall work independently in developing Power App Applications. To conduct periodic design review meetings to ensure the development is progressing as per agreed timeline. Follow up with business to ensure required inputs are received on time. Support business users during user acceptance test and ensure. Undertake change requests Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines. Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your background: B.Tech / MCA 4-8years of experience Should have executed at least 5 projects using Power Apps and Power Automate platform in lead role. Should have good technical and working knowledge in SQL server. Should have expertise in Canvas apps and model driven apps Expertise in creating complex Power automate flows. To have exposure to Enterprise data platform, data lake, Databricks concepts. To have expertise in interfacing with software platforms such as SAP, Salesforce etc. To have knowledge in Artificial intelligence / Machine learning concepts and implementation methods Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process. This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.

Job Information Department Name RULES Date Opened 04/10/2025 Department IP Services Job Type Permanent Industry Intellectual property City Noida State/Province Uttar Pradesh Country India Zip/Postal Code 201301 About Us MaxVal started as an IP services company in 2004, with a keen focus on efficiency, cost-effectiveness, and continuous improvement through metrics-based processes. Our focus on these core values led to the tech-enablement of our offerings even before this buzzword became an industry standard. Over the years, MaxVal developed many internal applications to increase our quality and efficiency, and customer satisfaction. As these systems grew and became more sophisticated, we have productized them and offered them to our clients. Today, MaxVal serves over 600 clients across the full IP life cycle with the industry’s leading products and services. Our 725 plus employees represent the most IP and tech-savvy individuals in the industry." At MaxVal, we do the right things and innovate ceaselessly as a winning team to achieve customer success and employee success. Job Description Job Summary The Project Lead will be responsible for managing work allocation, tracking project progress, conducting quality audits, and ensuring that the team meets deadlines. This role also involves handling ad-hoc projects and auditing standard documentation to maintain consistency and quality in all aspects of IP rule development. Key Responsibilities Quality Audits and Compliance: Conduct regular quality audits of IP rule documentation and related processes to ensure adherence to established standards and best practices. Ad-Hoc Project Management: Lead and manage ad-hoc projects related to enhancement of Symphony features. Coordinate resources and timelines for Ad-hoc projects, ensuring they are completed successfully and within specified deadlines. Maintain Documentation and Reports containing daily progress of ongoing projects and rule development initiatives, ensuring that milestones and deadlines are met. Track the status of each project, providing regular updates to management and stakeholders regarding timelines and deliverables. Prosecution, Annuity and Renewal Fee management – Oversee the timely updating of the system with relevant fee information and regularly validate fee data to ensure accuracy. Agent management – Act as a liaison to obtain prosecution, annuity and renewal fees along with contractual agreements where necessary; regularly monitor the agent for performance with the internal teams. MaxForms Management – Manage the MaxForms tool, which enables users to easily fill, validate, and generate official PTO forms in an automated manner. Documentation and Reporting: Audit and review standard documentation related to IP rule development, ensuring that all materials are up-to-date, accurate, and aligned with current practices. Review rules set for accuracy, consistency, and compliance, identifying areas for improvement and recommending corrective actions. Ensure that the team follows quality control procedures to maintain the highest standards in rule creation, testing, and deployment. Ensure that all documentation is properly organized and stored for easy retrieval by relevant teams and stakeholders. JIRA Management - Manage the intake of all tickets from the queue and assign them to the appropriate team member based on the nature of the request. Preferred Qualifications 5+ years of experience in IP, project management, or a related role, with at least 2 years in a leadership position. Strong knowledge of intellectual property laws and regulations. Experience in managing cross-functional teams and complex projects with multiple stakeholders. Familiarity with IP management databases, software tools, and rule-based systems. Excellent organizational and time-management skills, with the ability to manage multiple priorities simultaneously. Strong attention to detail, with a focus on maintaining high standards for quality and accuracy. Exceptional communication and interpersonal skills, with the ability to work effectively with diverse teams and stakeholders. Proficiency in Microsoft Office Suite and project management tools (e.g., Jira). Desirable Skills: Bachelor’s degree in law, Business Administration, or a related field preferable. A focus on IP is highly desirable. Experience with Agile project management methodologies. Knowledge of IP rule engines and IP management systems. Experience with process improvement methodologies, such as Six Sigma or Lean. Requirements Preferred Qualifications 5+ years of experience in IP, project management, or a related role, with at least 2 years in a leadership position. Strong knowledge of intellectual property laws and regulations. Experience in managing cross-functional teams and complex projects with multiple stakeholders. Familiarity with IP management databases, software tools, and rule-based systems. Excellent organizational and time-management skills, with the ability to manage multiple priorities simultaneously. Strong attention to detail, with a focus on maintaining high standards for quality and accuracy. Exceptional communication and interpersonal skills, with the ability to work effectively with diverse teams and stakeholders. Proficiency in Microsoft Office Suite and project management tools (e.g., Jira). Desirable Skills: Bachelor’s degree in law, Business Administration, or a related field preferable. A focus on IP is highly desirable. Experience with Agile project management methodologies. Knowledge of IP rule engines and IP management systems. Experience with process improvement methodologies, such as Six Sigma or Lean.

Graduation with experience in the field of Security, Loss Prevention, Shrinkage, Asset Protection, Investigations, Inventory University degree level or equivalent through experience and professional certification. The India Security and Loss Prevention (INSLP) team is responsible for leading the effort to efficiently and effectively provide security services and asset (lives, buildings, equipment, inventory, data, and intellectual property) protection in a designated area of responsibility. Amazon's LP and shrink reduction efforts are supported by the World Wide Operations Security (WWOS) team through the creation of an overall global strategy designed to optimize resources and leverage technology to mitigate product loss and maintain customer satisfaction. The Fulfillment Centers are at the heart of our rapidly growing business: they’re where we manage our fast-moving inventory. Our Fulfillment Center teams stow deliveries, pick products, package them up and ship them out: each of these groups have played their part in taking us to where we are today. You’ll join a Fulfillment Center as a member of the senior management team, where you’ll manage, coordinate and implement all aspects of our loss prevention strategy. Your mission: Loss exposure and loss controls analysis, Loss investigation, and when necessary, theft investigation, Physical security systems and controls, Contracting guard services, Workplace violence mitigation, Loss prevention education and awareness, Thorough loss prevention audit programs. Day-to-day responsibilities: Therefore, you’ll understand the critical importance you will play in your Fulfillment Center’s Loss Prevention Programme. Alongside the above points, you will manage and drive your Fulfillment Center’s compliance with all corporate loss prevention standards: Effectively partner with operations and support functions, in evaluating current and future business processes and initiatives, You’ll identify, develop and implement additional loss prevention strategies to meet the unique needs of your assigned Fulfillment Center, Function as part of a team of Loss Prevention Managers: together you’ll proactively pursue improvements to company-wide loss prevention efforts, Perform interior and exterior loss prevention audits of your Fulfillment Center and off-site facilities, while proactively dealing with any kind of security issue that is raised, Monitor your Fulfillment Center in terms of ongoing compliance with Amazon’s security policies, Perform various loss prevention inspections, audits, and investigations as required, Encourage and promote loss prevention within the workforce, by exercising integrity and ethical methods, Positively represent the Amazon Security/Loss Prevention department through public relations and customer service; set a personal example of the highest level, Demonstrate knowledge of Fulfillment Centers best practices at loss prevention, such as: The application of physical security systems, The investigation techniques and laws of arrest, The management of contract guard agencies, Effective transportation/supply chain loss mitigation techniques, Conduct new hire orientation and training in your loss prevention strategy, Be able to work and travel as and when required by business need Key job responsibilities Key job responsibilities at FC are: 1. Review process lapse & Monitor losses Ø Conduct Investigations & retrieval plan Ø Analysis Trend of each site & initiate corrective measures in line to control losses Ø Surprise visits to allotted sites Ø Manage SLP related escalations & incidents 2. Audits/Certifications Ø Keeping the plans & SOPs updated Ø Periodical Check of Documentation Ø Preparation of Documents for Internal & External 3. Audits Ø Surprise Check and reports 4. Process Improvement & Loss Prevention Program Ø Process Review & Necessary Improvements Ø Process Improvisation Ø Quarterly Assessment Ø Loss Prevention Report Ø Feed backs from Shop Floors Ø Follow up & Completion of CAPA Ø Loss Prevention Audits Ø Process Review & Necessary Improvements Ø Cross functional Team Audits 4. Loss Prevention Analysis Ø Quick Completion Investigation and submission of reports Ø Loss prevention audits and recommendations if any Ø Surprise Checks and submission of reports Ø Follow up & Completion of CAPA with regards to Concern areas 5. Coaching & review new process implementation Ø Ensuring adherence of process leading maintaining ZERO losses About the team The India Security and Loss Prevention (INSLP) team is responsible for leading the effort to efficiently and effectively provide security services and asset (lives, buildings, equipment, inventory, data, and intellectual property) protection in a designated area of responsibility. Amazon's LP and shrink reduction efforts are supported by the World Wide Operations Security (WWOS) team through the creation of an overall global strategy designed to optimize resources and leverage technology to mitigate product loss and maintain customer satisfaction. A minimum of 3- 5 years in law enforcement or security-related profession. Experience in managing or coordinating security investigations of complex nature. Knowledge of information security processes and systems. Experience in security auditing. Exposure to MNC culture and dynamics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Level AI is a Series C funded Mountain View, CA-based startup innovating in the Voice AI space. We are backed by top VCs, technologists from Silicon Valley, and industry experts. We are on a mission to revolutionize the customer sales experience for businesses. We are innovating in speech AI, NLP/NLU, and information retrieval systems to bring customers and businesses closer to one another.Our vision is to leverage AI and build tools that transform and elevate businesses. As our first focus, we have chosen to help contact centers achieve truly high standards through real-time quality assurance and agent assistance. As one of the critical members of the Level team your work will be new and of the highest impact to shape the future of AI in businesses. You will directly work with a small experienced team of technologists to identify and solve a new set of problems. The team has experience from Amazon Alexa, Facebook, and other leading AI organizations. You will have the freedom to pave a new path to achieve our mission. Roles and Responsibilities : Leads important, impactful, time-sensitive efforts to identify new business strategies and opportunities (e.g., new business models, growth initiatives, cost reduction strategies) Manages complex strategic, organizational, and operational initiatives Leads end-to-end growth marketing initiatives, including digital campaign strategy, execution, measurement, and optimization Conducts market research and competitive analysis to inform go-to-market planning, ICP segmentation, and channel prioritization Develops scalable frameworks and automation to drive efficiency and prepare for broader strategic projects Partners with business leaders in creating strategic initiatives and securing budgets for plans and projects on a wide range of strategic issues, including risk management and implementation tactics Influences management by presenting compelling analyses and recommendations that build the business case for new strategic initiatives Requirements : 4+ years of relevant work experience in business strategy (Experience in technology and SaaS preferred) MBA or relevant bachelors from top tier colleges Must have professional experience in business strategy, growth strategy and management or growth marketing role Hands on experience in B2B growth marketing with familiarity in martech tools is a strong plusHave an extreme bias towards action.Solutions orientated within a high-energy and fast-paced work environment Exceptional customer experience intuition; demonstrated success in creating innovative and user-friendly products and customer-facing features Possess excellent written, verbal and interpersonal communication skills To learn more visit : https://thelevel.ai/ Funding :https://www.crunchbase.com/organization/level-ai LinkedIn :https://www.linkedin.com/company/level-ai/

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 Experience with MLOps for scaling and automating ML model deployment and management. Familiarity with graph databases and semantic search technologies. Understanding of AI-driven product development lifecycle, from data collection and model development to deployment and performance monitoring. (ref:hirist.tech)

Primary Skills Extensive experience in implementing and configuring SAP PLM (Product Lifecycle Management) and DMS (Document Management System) Skilled in designing document storage structures, version control strategies, retrieval mechanisms, and workflow approvals Expertise in setting up structured document repositories, metadata definitions, and classification schemes within SAP DMS Strong understanding of document authorization and role-based access controls Hands-on experience integrating SAP DMS with engineering and CAD tools like AutoCAD, SolidWorks, CATIA, etc. Ensures real-time synchronization between SAP and engineering systems Deep knowledge of change management processes, version tracking, and compliance workflows in SAP DMS Experience in configuring automated workflows and compliance tracking to streamline document approvals and reduce manual Skills : Experience with SAP PLM Web UI and Fiori applications for intuitive document handling Familiarity with SAP ECTR (Engineering Control Center) for CAD integration Understanding of SAP PLM BOM and its integration with DMS Working knowledge of SAP S/4HANA PLM functionalities Experience in troubleshooting performance and access-related issues in SAP DMS (ref:hirist.tech)

Data Entry job involves accurately inputting, updating, and maintaining data into computer systems and databases. Data entry clerks, also known as data entry operators, are responsible for transferring information from various sources (paper documents, files, or verbal communication) into digital formats. They ensure data accuracy and integrity while organizing information for easy access and retrieval.