895 Summarization Jobs - Page 9

Senior Associate, Middle Office At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about. We’re seeking a future team member for the role of Senior Associate, Middle Office I to join our Middle Office team. This role is located in Pune/Maharashtra -Hybrid. In this role, you’ll make an impact in the following ways: Middle Office - S4Serves as a lead for the day-to-day operations of a Middle Office support team, providing work direction and technical assistance on complex matters. Leads the daily activities of a Middle Office support team servicing multiple funds. Reviews data and assists in resolving escalated problems that may arise during the normal daily, weekly or monthly accounting and reporting. Supervises the tracking of fund data and trades, as well as the maintenance of records. Establishes data maintenance and summarization processes and procedures to improve team efficiency and best support the Middle Office support team. Searches for fail points in processes and provides error reports to clients in compliance with established service level agreements. Reviews error reports from more junior team members and provides feedback. Ensures error reports from support staff comply with service level agreements before they are shared with Middle Office teams. Escalates external errors. Correction of internal errors is at the discretion of the client. Reviews for exceptions. If exceptions are found, confirms that internal and client procedures were followed, processing was on time and in line with FCC regulations and no unnecessary steps were taken. Checks exceptions identified by more junior level team members. Dictates how support team handles incorrectly managed exceptions and enforces adherence to procedures. Leads team in preparing system-generated reports. Sets standards for teams report output to be shared with client teams. Coordinates review of reports and the sharing of reports with Middle Office teams. Reviews work of junior team members. Assists in identifying and implementing process improvements to reduce audit and financial exposure and improve team efficiency. Supervises a team of Middle Office support staff. May be responsible for specific supervisory review and approval actions.Supports the achievement of team objectives. High school/secondary school or the equivalent combination of education and experience is required. Bachelors degree a plus, mutual fund industry background preferred. 3-5 years of total work experience preferred. Experience in accounting support or the mutual fund industry preferred.. To be successful in this role, we’re seeking the following: Works closely with technology and systems teams to ensure the system is efficient and incorporates any necessary risk mitigations. Provides product knowledge and technical assistance, determining when the more complex problems should be referred to a supervisor or senior professional. Review and check work of other Client Processing Support staff and help resolve escalated issues. May be responsible for allocating and checking work of other team members. May be responsible for specific supervisory review and approval actions. Responsible for the quality and completion of own work. At BNY, our culture speaks for itself. Here’s a few of our awards: America’s Most Innovative Companies, Fortune, 2024 World’s Most Admired Companies, Fortune 2024 Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024 Best Places to Work for Disability Inclusion, Disability: IN – 100% score, 2023-2024 “Most Just Companies”, Just Capital and CNBC, 2024 Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024 Bloomberg’s Gender Equality Index (GEI), 2023 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

Associate, Middle Office II At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about. We’re seeking a future team member for the role of Associate, Middle Office II to join our Middle Office team. This role is located in Pune/Maharashtra -Hybrid. In this role, you’ll make an impact in the following ways: Middle Office - S4Serves as a lead for the day-to-day operations of a Middle Office support team, providing work direction and technical assistance on complex matters. Leads the daily activities of a Middle Office support team servicing multiple funds. Reviews data and assists in resolving escalated problems that may arise during the normal daily, weekly or monthly accounting and reporting. Supervises the tracking of fund data and trades, as well as the maintenance of records. Establishes data maintenance and summarization processes and procedures to improve team efficiency and best support the Middle Office support team. Searches for fail points in processes and provides error reports to clients in compliance with established service level agreements. Reviews error reports from more junior team members and provides feedback. Ensures error reports from support staff comply with service level agreements before they are shared with Middle Office teams. Escalates external errors. Correction of internal errors is at the discretion of the client. Reviews for exceptions. If exceptions are found, confirms that internal and client procedures were followed, processing was on time and in line with FCC regulations and no unnecessary steps were taken. Checks exceptions identified by more junior level team members. Dictates how support team handles incorrectly managed exceptions and enforces adherence to procedures. Leads team in preparing system-generated reports. Sets standards for teams report output to be shared with client teams. Coordinates review of reports and the sharing of reports with Middle Office teams. Reviews work of junior team members. Assists in identifying and implementing process improvements to reduce audit and financial exposure and improve team efficiency. Supervises a team of Middle Office support staff. May be responsible for specific supervisory review and approval actions.Supports the achievement of team objectives. High school/secondary school or the equivalent combination of education and experience is required. Bachelors degree a plus, mutual fund industry background preferred. 3-5 years of total work experience preferred. Experience in accounting support or the mutual fund industry preferred.. To be successful in this role, we’re seeking the following: Works closely with technology and systems teams to ensure the system is efficient and incorporates any necessary risk mitigations. Provides product knowledge and technical assistance, determining when the more complex problems should be referred to a supervisor or senior professional. Review and check work of other Client Processing Support staff and help resolve escalated issues. May be responsible for allocating and checking work of other team members. May be responsible for specific supervisory review and approval actions. Responsible for the quality and completion of own work. At BNY, our culture speaks for itself. Here’s a few of our awards: America’s Most Innovative Companies, Fortune, 2024 World’s Most Admired Companies, Fortune 2024 Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024 Best Places to Work for Disability Inclusion, Disability: IN – 100% score, 2023-2024 “Most Just Companies”, Just Capital and CNBC, 2024 Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024 Bloomberg’s Gender Equality Index (GEI), 2023 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... As a DMTS (AI Science) you will own and drive end to end solutions for Cognitive and Gen AI driven use cases. Working on designing and building scalable cognitive and generative AI solutions to meet the needs of given Business engagement. Providing technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Working in collaborative environment with global teams to drive solutioning of business problems. Developing end to end analytical solutions, and articulating insights to leadership. Provide data-driven recommendations to business by clearly articulating complex modeling concepts through generation and delivery of presentations. Analyzing and model both structured and unstructured data from a number of distributed client and publicly available sources. Assisting with the mentorship and development of Junior members. Drive team towards solutions. Assisting in growing data science practice in Verizon, by meeting business goals through client prospecting, responding to model POC, identifying and closing opportunities within identified Insights, writing white papers, exploring new tools and defining best practices. What We’re Looking For... You have strong ML/NLP/GenAI skills and are eager to work in a collaborative environment with global teams to drive NLP/GenAI application in business problems. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various stakeholders and cross functional teams to implement data science driven business solutions. You take pride in your role as a data scientist and evangelist and enjoy adding to the systems, concepts and models that enrich the practice. You enjoy mentoring and empowering the team to expand their technical capabilities. You’ll Need To Have Bachelor’s degree or four or more years of work experience. Six or more years of work experience. Data Scientist and thought leader with experience in implementing production use cases in Gen AI and Cognitive. Ten or more years of hands-on experience on implementation of large-scale NLP Projects and Fine tuning & Evaluation of LLMs for downstream tasks such as text generation, Classification, summarization, question answering, entity extraction etc. Working knowledge of Agentic AI frameworks like LangChain, LangGraph, CrewAI etc. Ability to guide the team to correctly analyze cognitive insights and leverage unstructured conversational data to create transformative, intelligent, context aware and adaptive AI systems. Experience in Machine Learning, Deep Learning model development & deployment from scratch in Python. Working knowledge of NLP frameworks and libraries like NLTK, Spacy, Transformers, Pytorch, Tensorflow, hugging face API's. Working knowledge of various supervised and unsupervised ML algorithms. Should know the various data preprocessing techniques and its impact on algorithm's accuracy, precision and recall. Knowledge & Implementation Experience of Deep Learning i.e Convolutional Neural Nets (CNN), Recursive Neural Nets (RNN) & Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), Deep Reinforcement Learning. Experience with RESTful, JSON API services. Working knowledge on Word embeddings, TF-IDF, Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context. Experience in analyzing Live Chat/call conversation with agents. Expertise in Python, Sql, PySpark, Scala and/or other languages and tools. Understanding of validation framework for generative model output and perspective on future ready systems to scale validation. Familiarity with GPU/CPU architecture and distributed computing and general infra needs to scale Gen AI models Ability to provide technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Even better if you have one or more of the following: Phd or an advanced degree or specialization in Artificial Intelligence If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

Role Description This is a remote internship role for a Policy Research Intern. The Policy Research Intern will be responsible for conducting research on e-commerce policies, analyzing and summarizing data, drafting reports and policy briefs, and assisting in the development of policy recommendations. The intern will also support the team with administrative tasks as needed. Qualifications Research and analytical skills Report writing and data summarization skills Experience drafting policy briefs and making policy recommendations Strong communication skills, both written and verbal Ability to work independently and manage time effectively Proficiency with research tools and software Interest in e-commerce and digital policy is a plus Enrollment in or recent completion of a relevant degree program (e.g., Public Policy, Political Science, Economics, Law)

Roles & Responsibilities Key Responsibilities Design, develop, and optimize Machine Learning & Deep Learning models using Python and libraries such as TensorFlow, PyTorch, and Scikit-learn Work with Large Language Models (e.g., GPT, BERT, T5) to solve NLP tasks such as, semantic search, summarization, chatbots, conversational agents, and document intelligence. Lead the development of scalable AI solution including data preprocessing, embedding generation, vector search, and prompt orchestration. Build and manage vector databases and metadata stores to support high-performance semantic retrieval and contextual memory. Implement caching, queuing, and background processing systems to ensure performance and reliability at scale. Conduct independent R&D to implement cutting-edge AI methodologies, evaluate open-source innovations, and prototype experimental solutions Apply predictive analytics and statistical techniques to mine actionable insights from structured and unstructured data. Build and maintain robust data pipelines and infrastructure for end-to-end ML model training, testing, and deployment Collaborate with cross-functional teams to integrate AI solutions into business processes Contribute to the MLOps lifecycle, including model versioning, CI/CD, performance monitoring, retraining strategies, and deployment automation Stay updated with the latest developments in AI/ML by reading academic papers, and experimenting with novel tools or frameworks Required Skills & Qualifications Proficient in Python, with hands-on experience in key ML libraries: TensorFlow, PyTorch, Scikit-learn, and HuggingFace Transformers Strong understanding of machine learning fundamentals, deep learning architectures (CNNs, RNNs, transformers), and statistical modeling Practical experience working with and fine-tuning LLMs and foundation models Deep understanding of vector search, embeddings, and semantic retrieval techniques. Expertise in predictive modeling, including regression, classification, time series, clustering, and anomaly detection Comfortable working with large-scale datasets using Pandas, NumPy, SciPy etc. Experience with cloud platforms (AWS, GCP, or Azure) for training and deployment is a plus Preferred Qualifications Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or related technical discipline. Experience with MLOps tools and workflows (e.g., Docker, Kubernetes, MLflow, SageMaker, Vertex AI). Ability to build and expose APIs for models using FastAPI, Flask, or similar frameworks. Familiarity with data visualization (Matplotlib, Seaborn) and dashboarding (Plotly) tools or equivalent Working knowledge of version control, experiment tracking, and team collaboration Experience 8-11 Years Skills Primary Skill: AI/ML Development Sub Skill(s): AI/ML Development Additional Skill(s): TensorFlow, NLP, Pytorch, Large Language Models (LLM) About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.

Job Title: AI Tools & Automation Specialist Location: Guwahati (Work from Office) Employment Type: Full-Time About the Role: We are looking for a highly skilled and proactive AI Tools & Automation Specialist to join our growing team. This role is ideal for someone with hands-on expertise in the evolving landscape of AI-driven tools, automation platforms, and website integrations. You will work closely with leadership to automate internal workflows, create AI-powered solutions, develop intelligent chatbots, and improve user journeys across platforms. This is a hybrid role involving AI tool integration, basic development, and strategic automation . Key Responsibilities: Research, experiment with, and implement cutting-edge AI tools and platforms beyond basic ChatGPT usage Create and deploy AI-powered chatbots using platforms like OpenAI, Dialogflow, perplexity, claude etc. Automate workflows using platforms like Make.com (Integromat) , Zapier , n8n or equivalent tools Build landing pages or micro-tools using platforms like Wix Studio , Webflow, or similar Integrate third-party APIs to automate tasks and streamline operations Collaborate with internal teams to understand repetitive tasks and automate them with AI tools Implement AI tools for customer support, marketing content generation, analytics summarization, etc. Support internal training on new AI tools and educate the team on scalable use cases. Monitor, test, and optimize all AI tool implementations for performance and accuracy. Required Skills: Strong working knowledge of Make.com (Integromat), Zapier, Wix Studio , and Webflow Hands-on experience with AI chatbot builders , NLP platforms, and OpenAI APIs Familiarity with API integration, JSON, Webhooks, and basic scripting Understanding of AI-based content creation , automation in business tools (Slack, Google Sheets, CRMs, etc.) Passion for exploring new tools and ability to evaluate tools for team-wide adoption Basic front-end development understanding (HTML/CSS/JavaScript – nice to have) Self-driven, resourceful, and solution-oriented mindset. Good to Have: Knowledge of tools like ElevenLabs, Runway, midjourney, kling,heygen, Superhuman, Notion AI , etc. Familiarity with LLM fine-tuning or prompt engineering concepts Experience with internal tools development or AI-assisted CRM workflows Why Join Us? Directly contribute to streamlining and scaling a fast-growing travel-tech business Work with the founder and leadership on core business impact initiatives Be at the forefront of AI adoption in real-world use cases Competitive salary with long-term growth potential

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. About The Position The Database engineering team is based in the Bay Area, Toronto and India. The team has the DNA of building highly scalable, mission critical enterprise products. As part of building our team in India, we are looking for an AI Research Engineer with a passion for advancing the intersection of machine learning and database systems and improving operational efficiency of the Salesforce database. Responsibilities Salesforce is expanding its India operations and seeking to recruit an AI Research Engineer. The responsibilities of this position encompass the application of machine learning techniques to optimize the efficiency of the Salesforce database and to enhance the database system infrastructure and operational efficiency. It is desired that the selected candidate possesses a strong interest in the integration of artificial intelligence with database technology. This role focuses on developing innovative AI-based solutions across multiple database areas, including but not limited to: Root Cause Analysis (RCA) from logs and telemetry Log summarization and anomaly detection Query optimization and cost modeling Execution plan prediction and tuning Semantic understanding of user queries and workload forecasting Salesforce has a large fleet of database instances running in the cloud and generates a huge amount of telemetry and logs which can be leveraged to solve these problem statements. You’ll work on integrating LLMs and ML models with the Salesforce database engine to improve operational efficiency as well as help improve the database engineer itself to make it more adaptive, self-healing, and intelligent. As a PMTS/Architect You Will Be Responsible For Drive the roadmap, design and delivery of medium complex features independently Be an SME in your area of work,work with other database architects to arrive at solutions that can be productized Own the design decisions and ensure Quality and Security standards are met. Contribute to analysis, design, test and code reviews of own and related areas across different scrum teams Setting and improving engineering best practices/processes on relevant tooling, instrumentation, telemetry and playbook. Designing and coding the features for high quality. Timely resolution of Customer issues with utmost urgency and adhering to customer trust Requirements Experience with open-source DBMS (PostgreSQL, MySQL) or commercial engines. Experience in reinforcement learning, LLMs, building knowledge graphs, autoML Exposure to observability platforms (Splunk). Background in systems research with published work in SIGMOD, VLDB, NeurIPS, ICDE, OSDI, or similar venues. Track record of delivering innovative and complex features for a major software system Excellent communication skills and problem-solving skills Experience working with a group of developers in a high-pace high-demand environment Experience in Agile development Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

About Pandita AI Solutions Pandita AI Solutions is a rapidly growing AI startup with headquarters in Palo Alto, CA and a thriving engineering division in Mysore, India . We are pioneers in developing generative AI systems, foundation models, and multimodal applications that solve real-world problems across industries like healthcare, scientific computing, and document intelligence. We’re now looking to automate our internal operations using cutting-edge agentic AI and LLM-driven tools. This effort will be led by the founding team in close collaboration with a dedicated Generative AI Engineer , who will help implement intelligent automation — and later scale it for external clients and products . Key Responsibilities Work closely with the leadership team to map internal processes that can benefit from AI-based automation (e.g., document handling, research synthesis, client onboarding, code generation, workflow orchestration). Build internal tools using LLMs and agent frameworks (LangChain, OpenAI Functions, AutoGen, CrewAI, etc.) for semi-autonomous task execution. Prototype, test, and refine agentic applications that integrate with internal systems (e.g., Notion, Slack, GitHub, Airtable, email, databases). As the automation matures internally, support the transition to external automation offerings for clients across domains. Maintain a portfolio of your work in GitHub, and contribute reusable components to the broader engineering team. Minimum Qualifications Master’s degree in Computer Science, AI, Data Science, or a related technical field. Solid programming skills in Python and experience building backend services, APIs, or automation tools. Demonstrated ability to build and maintain agent-based apps using tools like LangChain, CrewAI, LlamaIndex , or custom orchestration frameworks. A strong GitHub portfolio of previous automation projects or agentic AI applications (personal or professional). Familiarity with REST APIs, cloud services (AWS/GCP), and tools like Docker, FastAPI, or Streamlit. Preferred Qualifications Experience integrating LLMs with external APIs and multi-step workflows (e.g., form parsing + summarization + ticket generation). Familiarity with tools like Zapier , Make , Airflow , or custom workflow engines . Understanding of retrieval-augmented generation (RAG) , embeddings, and prompt engineering best practices. Publications in International conferences such as IEEE, ICML, NIPS Entrepreneurial mindset with a willingness to explore ambiguous spaces and iterate rapidly. What We Offer A unique opportunity to work directly with founders and AI researchers on defining the next era of automation. A fast-paced, early-stage startup culture with a focus on delivery, ownership, and learning . ESOPs , competitive compensation, and access to high-end compute infrastructure. Long-term growth opportunity to lead automation efforts both internally and across external enterprise deployments .

Job Category Job Type: Job Location: Jayanagar Bangalore Salary Years of Experience: Key Responsibilities Analyze and interpret concepts to ensure accurate configuration in line with medical coding, billing, and reimbursement guidelines. Analyze medical coding, reimbursement guidelines and configure logic to support accurate concept execution. Conduct in-depth reviews of contracts, policies, and federal/state regulations to formulate edit requirements. Apply industry coding guidelines to claims processes effectively. Demonstrate experience in analyzing and resolving coding issues for payment integrity purposes. Analyze, develop, and implement system configurations. Collaborate with subject matter experts (SMEs) and technical teams to translate regulatory and policy requirements into functional edit specifications. Translate editing logic into platform configurations with support from SMEs, and stakeholders to ensure clear understanding and configuration of concepts. Collaborate with cross-functional teams to assess configuration needs and implement appropriate solutions. Assist in developing and maintaining payment integrity policies and procedures. Review configurations to ensure completeness and accuracy based on the medical coding and billing guidelines. Troubleshoot and perform root-cause analysis for edit logics not functioning as intended. Effectively pinpoint configuration discrepancies and ensure concepts are deployed successfully and on schedule. Audit and validate concepts against healthcare guidelines; identify and address gaps with upstream teams. Conduct rigorous testing to verify concept accuracy and performance across outpatient, professional, and inpatient claim scenarios adhering to the coding guidelines. Perform acceptance testing to validate configuration accuracy. Stay updated with industry regulations and compliance requirements to ensure the configuration process adheres to relevant standards. Perform duties independently with a high level of accuracy and professionalism. Exhibit detail-oriented mindset with a focus on quality and accuracy in concept configuration & testing. Familiarity with AI tools and prompt engineering to support medical content development, automation of policy logic, and Concept generation: Design and optimize prompts for large language models (LLMs) to generate accurate and clinically relevant medical content. Experience in utilizing AI tools (e.g., Gemini, NotebookLLM, ChatGPT, Claude, Perplexity, Grok, Bard, or custom LLMs) to assist in ideation, content creation, review, summarization, and validation. Key Skills: Domain Expertise in US Healthcare Medical Coding, Medical Billing, Payment Integrity, Revenue Cycle Management (RCM), Denials Management. Codeset Knowledge like CPT/HCPCS, ICD, Modifier, DRG, PCS, etc. Knowledge on policies like Medicare/Medicaid Reimbursement, Payer Payment Policies, NCCI, IOMs, CMS Policies etc. Proficiency in Microsoft Word and Excel, with adaptability to new platforms. Excellent verbal & written communication skills. Excellent interpretation and articulation skills. Strong analytical, critical thinking, and problem-solving skills. Willingness to learn new products and tools. Strong time management skills and ability to meet deadlines. Qualifications: Education & Certification (one Of The Following Required) Bachelor of Science in Nursing (B.Sc. Nursing) Pharmacist Degree (B.Pharm, M.Pharm or PharmD) Life Science Degree (Microbiology, Biotechnology, Biochemistry, etc.) Medical Degree (e.g., MBBS, BDS, BPT, BAMS, etc.) Other Bachelors Degree with relevant experience. Certification Requirements Candidates with certifications like CPC, CPMA, COC, CIC, CPC-P, CCS, or any specialty certifications from AHIMA or AAPC will be given preference. Additional weightage will be given for AAPC specialty coding certifications. Experience 0-1 years of experience in Payment Integrity, Medical Coding, Denial Management. Experience in payment integrity, claims processing, or related functions within the US healthcare system. Experience in denial management, retrospective payment audits, or medical coding. Familiarity with medical coding guidelines, such as ICD, CPT, Modifiers, Medicare, Medicaid, or commercial payer guidelines. Work Mode: Work from Office.

Job Description Manager , Product Leader (CPS) Chennai, India Full-time Career Site Team: Product Job Description Every day, across the U.S., consumers spend billions buying products. And today, NielsenIQ clients are struggling to find growth as channel fragmentation and evolving consumer wants and needs influence how consumers interact with brands and buy products. Clients look to NielsenIQ to help them make sense of this change, how to best adapt to it, and how to stay ahead of the next wave. At NielsenIQ, measurement is at our core; we collect billions of data points to help our clients identify unmet needs, and this role will be at the forefront of our growing data sets. To accomplish this, innovation is key. We are looking for an innovative, growth-minded leader to join our U.S. Product Leadership team. The U.S. Consumer Panel Services (CPS) Product Leader will play a crucial role in supporting the development of the roadmap for Consumer Panel Services in the U.S. market, serve as a subject matter expert and drive the next generation of Consumer Panel measurement solutions. Reporting through to the U.S. Consumer Panel Services product leader you will be part of an exciting growth region for consumer products. You will be responsible for supporting the assessment of product opportunities and defining those with the best value / cost for our clients. As our clients demand solutions that reflect the growing channel fragmentation, you will work with data science, operations and commercial teams to prioritize and deliver product innovations in the consumer panel space. We’re looking for someone driven, with a passion for data and consumer behavior, who is excited to lead the charge. Responsibilities Support the creation of the Consumer Panel measurement product strategy and roadmap, following the full product development life cycle and ensuring we are aligned with business goals. Provide product expertise on data summarization, technical implementation, end to end processes Own the e2e rollout of quarterly events including vetting feasibility, supporting e2e planning, and validation Manage the monthly distribution of release notes and quality alerts, ensuring a comprehensive review is provided to our internal stakeholders Support the subject matter experts to evangelize the product(s) with internal stakeholders and clients Support with identifying customer needs, market trends, and competitive landscape to inform product strategy. Support marketing, pricing and commercial teams to develop product go-to-market strategies Gather and synthesize data from CPS, RMS, and other sources to inform product decisions and socialization materials, utilizing both front-end and back-end tools. What we can offer you: You will be working for the largest measurement company in the world, helping the largest manufacturers and retailers solve their toughest problems To be part of a diverse and talented cross-functional team with direct influence, end to end accountability and senior leadership visibility An opportunity for personal and professional development in a complex, challenging role Qualifications 3-5+ years of experience in retail, consumer packaged goods or other market measurement products. Experience with Consumer Panel is preferred. RMS and Ecomm experience are a plus. Minimum of a Bachelor's degree Ability to support cross-functional teams from strategy to execution while creating strong relationships with leaders across Retail, Operations, Technology, Data Science and Commercial Proven understanding of traditional forms of measurement and their challenges in modern times A strategic thinker and executor; see the vision, defines the big picture into action, and leads a team to follow and execute with passion Excellent ability to communicate clearly and concisely including with executives and external press/industry forums, where required Client mindset! Demonstrated influence, stakeholder engagement, and ability to cut through organizational complexity Enjoys working in the gray or unknown - defining the undefined, and comfortable to challenge the status quo Passion for using data to inform decisions and to advocate for our users Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Hello, We are hiring for AI/ML Developer at Ahmedabad Location. Experience: 3+Years Responsibilities: Develop, implement, and optimize OCR algorithms to extract text from images and documents. Design and implement advanced image processing techniques to enhance image quality and extract meaningful information. Utilize OpenCV and other relevant libraries to develop computer vision applications. Create and deploy computer vision models for various applications, such as object detection, image segmentation, and facial recognition. Develop generative AI models to create synthetic data, enhance images, and support creative applications. Work with LLMs to build and improve natural language processing (NLP) applications, including text generation, summarization, and translation. Collaborate with cross-functional teams to understand project requirements and deliver AI/ML solutions that meet business needs. Stay updated with the latest advancements in AI/ML technologies and integrate them into existing projects. Conduct research and experiments to develop innovative AI/ML solutions and improve existing models. Document and present findings, progress, and results to stakeholders and team members. Skills: Proven experience as an AI/ML Engineer or similar role. Strong expertise in OCR, image processing, and computer vision. Proficiency in OpenCV and other relevant image processing libraries. Experience with generative AI techniques and models. Familiarity with LLMs and NLP applications. Proficiency in programming languages such as Python, C++, or Java. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Keras. Strong problem-solving skills and the ability to work independently as well as in a team.Excellent communication and collaboration skills. Experience with cloud platforms such as AWS, Google Cloud, or Azure is a plus. Preferred Skills: Experience with deep learning frameworks. Knowledge of data augmentation techniques. Familiarity with GPU programming and optimization. Experience with real-time image processing and computer vision applications. Understanding of ethical AI practices and data privacy considerations. Thank You. Job Type: Full-time Pay: ₹50,000.00 - ₹100,000.00 per month Benefits: Cell phone reimbursement Internet reimbursement Work Location: In person Speak with the employer +91 8625954321 Expected Start Date: 19/07/2025

Key Responsibilities: Develop, implement, and optimize OCR algorithms to extract text from images and documents. Design and implement advanced image processing techniques to enhance image quality and extract meaningful information. Utilize OpenCV and other relevant libraries to develop computer vision applications. Create and deploy computer vision models for various applications, such as object detection, image segmentation, and facial recognition. Develop generative AI models to create synthetic data, enhance images, and support creative applications. Work with LLMs to build and improve natural language processing (NLP) applications, including text generation, summarization, and translation. Collaborate with cross-functional teams to understand project requirements and deliver AI/ML solutions that meet business needs. Stay updated with the latest advancements in AI/ML technologies and integrate them into existing projects. Conduct research and experiments to develop innovative AI/ML solutions and improve existing models. Document and present findings, progress, and results to stakeholders and team members. Job Type: Full-time Pay: ₹100,000.00 - ₹150,000.00 per month Location Type: In-person Schedule: Day shift Monday to Friday Morning shift Night shift Work Location: In person Speak with the employer +91 8758748111

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology. Job Description Job Summary: We are seeking an experienced AI Developer with expertise in Python , Generative AI (GenAI) with Retrieval-Augmented Generation (RAG) , Robotic Process Automation (RPA) , and advanced document intelligence using OCR and LLMs . This role involves designing AI-powered solutions that extract meaningful insights from complex documents—both digital and scanned—using tools like Tesseract, Hugging Face Transformers or similar. You will work on end-to-end automation and AI integration for intelligent document processing, enabling smarter decisions and workflow efficiencies across the organization. Key Responsibilities: Build and deploy GenAI solutions with RAG pipelines to enable intelligent querying and summarization over document repositories. Extract and structure data from complex documents (PDFs, Images etc) using a combination of OCR engines (e.g., Tesseract) and AI-based document and vision language models(DiNO, SmolVLM etc). Integrate OCR+LLM pipelines into business applications to process scanned forms, contracts, and other unstructured documents. Automate repetitive, document-intensive tasks using RPA tools (e.g., Blue Prism etc). Design and maintain Python-based workflows to orchestrate document ingestion, extraction, and LLM-powered processing. Work cross-functionally with product, data, and operations teams to deliver scalable, AI-enhanced document automation solutions. Ensure model performance, compliance, and audit readiness for all document-handling workflows. Required Qualifications: 4+ years of hands-on programming experience with Python. Strong experience building RAG-based GenAI applications using tools like LangChain, LlamaIndex, or equivalent. Proficient in OCR tools (e.g., Tesseract, PaddleOCR) and transformer-based document models. Experience working with LLMs for document understanding, summarization, and Q&A. Proficiency in RPA development using platforms like Blueprism etc. Knowledge of vector databases (e.g., FAISS, Pinecone) and embeddings for semantic retrieval. Strong understanding of REST APIs, JSON, and data integration workflows. Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

Title : AIML - LLM Gen AI Engineer Key Responsibilities Design, develop, and implement solutions leveraging transformer-based models for various NLP tasks, including text generation, summarization, question answering, classification, and translation. Work extensively with transformer models such as GPT (Generative Pre-trained Transformer), BERT (Bidirectional Encoder Representations from Transformers), T5 (Text-to-Text Transfer Transformer), RoBERTa, and similar architectures. Apply a deep understanding of model architectures, attention mechanisms, and self-attention layers to effectively utilize LLMs for generating human-like text. Lead efforts in fine-tuning pre-trained LLMs and other transformer models on domain-specific datasets to optimize performance for specialized tasks like text generation, summarization, question answering, classification, and translation. Utilize knowledge of concepts like attention mechanisms, context windows, tokenization, and embedding layers in model development and optimization. Address and mitigate issues related to biases, hallucinations, and knowledge cutoffs that can affect LLM performance and output quality. Apply expertise in crafting clear, concise, and contextually relevant prompts to guide LLMs towards generating desired outputs, including the use of instruction-based prompting. Implement and experiment with zero-shot, few-shot, and many-shot learning techniques for maximizing model performance without extensive retraining. Iterate on prompts and prompt engineering strategies to refine outputs, rigorously test model performance, and ensure consistent and high-quality results. Craft prompt templates for repetitive tasks, ensuring prompts are adaptable to different contexts and inputs. Demonstrate expertise in chain-of-thought (CoT) prompting to guide LLMs through complex reasoning tasks by encouraging step-by-step breakdowns. Contribute to the entire lifecycle of machine learning models in an NLP context, including training, fine-tuning, and deployment. Required Skills & Qualifications Overall 8+ years of experience working with transformer-based models and NLP tasks, with a dedicated focus on text generation, summarization, question answering, classification, and similar applications. Expertise in transformer models like GPT, BERT, T5, RoBERTa, and similar foundational models. Strong familiarity with model architectures, attention mechanisms, and self-attention layers that enable LLMs to generate human-like text. Proven experience in fine-tuning pre-trained models on domain-specific datasets for various NLP tasks. Strong familiarity with concepts like attention mechanisms, context windows, tokenization, and embedding layers. Awareness of biases, hallucinations, and knowledge cutoffs that can affect LLM performance and output quality. Expertise in crafting clear, concise, and contextually relevant prompts to guide LLMs towards generating desired outputs, including instruction-based prompting. Experience in using zero-shot, few-shot, and many-shot learning techniques for maximizing model performance without retraining. Proven experience in iterating on prompts to refine outputs, test model performance, and ensure consistent results. Demonstrated ability to craft prompt templates for repetitive tasks, ensuring adaptability to different contexts and inputs. Expertise in chain-of-thought (CoT) prompting to guide LLMs through complex reasoning tasks. Proficiency in Python and extensive experience with key NLP libraries (e.g., Hugging Face Transformers, SpaCy, NLTK). Solid experience in training, fine-tuning, and deploying machine learning models in an NLP context. Excellent problem-solving skills and a strong analytical mindset. Strong communication and collaboration skills, with the ability to work effectively in a remote or hybrid environment. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. (ref:hirist.tech)

Job Description Manager , Product Leader (CPS) Chennai, India Full-time Career Site Team: Product Job Description Every day, across the U.S., consumers spend billions buying products. And today, NielsenIQ clients are struggling to find growth as channel fragmentation and evolving consumer wants and needs influence how consumers interact with brands and buy products. Clients look to NielsenIQ to help them make sense of this change, how to best adapt to it, and how to stay ahead of the next wave. At NielsenIQ, measurement is at our core; we collect billions of data points to help our clients identify unmet needs, and this role will be at the forefront of our growing data sets. To accomplish this, innovation is key. We are looking for an innovative, growth-minded leader to join our U.S. Product Leadership team. The U.S. Consumer Panel Services (CPS) Product Leader will play a crucial role in supporting the development of the roadmap for Consumer Panel Services in the U.S. market, serve as a subject matter expert and drive the next generation of Consumer Panel measurement solutions. Reporting through to the U.S. Consumer Panel Services product leader you will be part of an exciting growth region for consumer products. You will be responsible for supporting the assessment of product opportunities and defining those with the best value / cost for our clients. As our clients demand solutions that reflect the growing channel fragmentation, you will work with data science, operations and commercial teams to prioritize and deliver product innovations in the consumer panel space. We’re looking for someone driven, with a passion for data and consumer behavior, who is excited to lead the charge. Responsibilities Support the creation of the Consumer Panel measurement product strategy and roadmap, following the full product development life cycle and ensuring we are aligned with business goals Provide product expertise on data summarization, technical implementation, end to end processes Own the e2e rollout of quarterly events including vetting feasibility, supporting e2e planning, and validation Manage the monthly distribution of release notes and quality alerts, ensuring a comprehensive review is provided to our internal stakeholders Support the subject matter experts to evangelize the product(s) with internal stakeholders and clients Support with identifying customer needs, market trends, and competitive landscape to inform product strategy Support marketing, pricing and commercial teams to develop product go-to-market strategies Gather and synthesize data from CPS, RMS, and other sources to inform product decisions and socialization materials, utilizing both front-end and back-end tools What we can offer you: You will be working for the largest measurement company in the world, helping the largest manufacturers and retailers solve their toughest problems To be part of a diverse and talented cross-functional team with direct influence, end to end accountability and senior leadership visibility An opportunity for personal and professional development in a complex, challenging role Qualifications 3-5+ years of experience in retail, consumer packaged goods or other market measurement products. Experience with Consumer Panel is preferred. RMS and Ecomm experience are a plus Minimum of a Bachelor's degree Ability to support cross-functional teams from strategy to execution while creating strong relationships with leaders across Retail, Operations, Technology, Data Science and Commercial Proven understanding of traditional forms of measurement and their challenges in modern times A strategic thinker and executor; see the vision, defines the big picture into action, and leads a team to follow and execute with passion Excellent ability to communicate clearly and concisely including with executives and external press/industry forums, where required Client mindset! Demonstrated influence, stakeholder engagement, and ability to cut through organizational complexity Enjoys working in the gray or unknown - defining the undefined, and comfortable to challenge the status quo Passion for using data to inform decisions and to advocate for our users Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are looking for a highly skilled Data Scientist with deep expertise in machine learning (ML) and deep learning (DL), particularly in deploying solutions on Google Cloud Platform (GCP). The ideal candidate will have hands-on experience with Dialogflow CX, Vertex AI, Python, LLMs, and Agentic AI systems, and a strong presence on GitHub showcasing real-world project. Responsibilities: Design, develop, and deploy ML/DL models using Vertex AI, Python, and GCP-native tools. Build and optimize conversational AI agents using Dialogflow CX, integrating with APIs and backend systems. Develop and fine-tune Large Language Models (LLMs) for various NLP tasks, including summarization, classification, and question answering. Implement Agentic AI systems that can autonomously plan, reason, and execute tasks using LLMs and orchestration frameworks. Collaborate with engineering and product teams to translate business needs into scalable AI solutions. Maintain and showcase code and projects on GitHub, ensuring reproducibility and collaboration. Monitor model performance, conduct A/B testing, and iterate based on feedback and metrics. Automate ML workflows using CI/CD pipelines, Docker, Kubernetes, and MLOps best practices. Qualifications 4+ years of professional experience in ML, DL, or applied AI roles. Hands-on expertise in machine learning (ML) and deep learning (DL), with real-world deployment experience on Google Cloud Platform (GCP). Proven experience with Dialogflow CX for building and optimizing conversational AI agents. Proficiency in Python, with strong software engineering practices (modular code, testing, version control). Demonstrated experience deploying and scaling models using Vertex AI and other GCP-native tools. Experience working with Large Language Models (LLMs) for NLP tasks like summarization, classification, and Q&A. Practical knowledge in designing and implementing Agentic AI systems, including autonomous planning, reasoning, and orchestration. Ability to develop API integrations and connect AI agents to backend services. Familiarity with CI/CD pipelines, Docker, and Kubernetes for deploying ML workflows. Strong communication and collaboration skills; ability to work cross-functionally with product and engineering teams. Bachelor's or Master’s degree in Computer Science, Data Science, AI/ML, or a related field (PhD is a plus). Demonstrated ability to solve business problems using AI with measurable outcomes (e.g., improved customer experience, reduced operational costs). Nice to have: Experience with LangChain, AutoGen, CrewAI, or similar LLM orchestration frameworks. Certification in Google Cloud (e.g., Professional Machine Learning Engineer or Cloud Architect) is preferred. We offer: The Chance to Make an Impact: grow alongside some of the tech industry’s premier talent, with a 99% project success rate delivering for some of the world’s biggest brands. Collaborate on projects that really matter, shaping the future of global industries for some of the biggest names in business. A Work From Anywhere Culture: make the most of the flexibility that comes with fully remote work, within a close-knit, values-driven community. Diversity and Empowerment: thrive in an inclusive and supportive multicultural environment, where differences are celebrated as a key driver of creativity and innovation. Our international culture of diversity gives everyone the chance to make a real difference – in their own way. Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility, and internship opportunities. A Better Way of Working: join a company that puts sustainability at the heart of everything it does. Our community is active on a range of sustainability issues, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality and inclusion. Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.

As a NLP & Generative AI Engineer at Gigaforce, you will be part of our dynamic AI/ML team based in Noida, working on cutting-edge technologies to revolutionize the insurance claims processing industry. We are a California-based InsurTech company with a strong focus on innovation and digital transformation in the Property and Casualty sector. You must have a minimum of 2 years of hands-on experience in traditional machine learning, natural language processing, and modern generative AI techniques to be considered for this role. We are looking for individuals who are passionate about deploying GenAI solutions to production, working with open-source technologies, and handling document-centric pipelines efficiently. Your main responsibilities will include building and deploying NLP and GenAI-driven products focusing on document understanding, summarization, classification, and retrieval. You will be designing and implementing models using LLMs such as GPT, T5, and BERT, along with working on scalable, cloud-based pipelines for training, serving, and monitoring models. Collaboration is key at Gigaforce, and you will work closely with cross-functional teams including data scientists, ML engineers, product managers, and developers. Additionally, you will contribute to open-source tools and frameworks in the ML ecosystem, deploying production-ready solutions using MLOps practices, and working on distributed/cloud systems with GPU-accelerated workflows. To be successful in this role, you should have a strong grasp of traditional ML algorithms, NLP fundamentals, and modern NLP & GenAI models. Proficiency in Python, experience with cloud platforms like AWS SageMaker, GCP, or Azure ML, and familiarity with MLOps tools and distributed computing are essential. Experience with document processing pipelines and understanding insurance-related documents is a plus. If you are looking for a challenging role where you can lead the design, development, and deployment of innovative AI/ML solutions in the insurance industry, then this position at Gigaforce is the perfect opportunity for you. Join us in our mission to transform the claims lifecycle into an intelligent, end-to-end digital experience.,

Company Description Quantanite is a business process outsourcing (BPO) and customer experience (CX) solutions company that helps fast-growing companies and leading global brands to transform and grow. We do this through a collaborative and consultative approach, rethinking business processes and ensuring our clients employ the optimal mix of automation and human intelligence. We’re an ambitious team of professionals spread across four continents and looking to disrupt our industry by delivering seamless customer experiences for our clients, backed up with exceptional results. We have big dreams and are constantly looking for new colleagues to join us who share our values, passion, and appreciation for diversity Job Description About the Role We are seeking a highly skilled Senior AI Engineer with deep expertise in Agentic frameworks, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, MLOps/LLMOps, and end-to-end GenAI application development. In this role, you will design, develop, fine-tune, deploy, and optimize state-of-the-art AI solutions across diverse enterprise use cases including AI Copilots, Summarization, Enterprise Search, and Intelligent Tool Orchestration. Key Responsibilities Develop and Fine-Tune LLMs (e.g., GPT-4, Claude, LLaMA, Mistral, Gemini) using instruction tuning, prompt engineering, chain-of-thought prompting, and fine-tuning techniques. Build RAG Pipelines: Implement Retrieval-Augmented Generation solutions leveraging embeddings, chunking strategies, and vector databases like FAISS, Pinecone, Weaviate, and Qdrant. Implement and Orchestrate Agents: Utilize frameworks like MCP, OpenAI Agent SDK, LangChain, LlamaIndex, Haystack, and DSPy to build dynamic multi-agent systems and serverless GenAI applications. Deploy Models at Scale: Manage model deployment using HuggingFace, Azure Web Apps, vLLM, and Ollama, including handling local models with GGUF, LoRA/QLoRA, PEFT, and Quantization methods. Integrate APIs: Seamlessly integrate with APIs from OpenAI, Anthropic, Cohere, Azure, and other GenAI providers. Ensure Security and Compliance: Implement guardrails, perform PII redaction, ensure secure deployments, and monitor model performance using advanced observability tools. Optimize and Monitor: Lead LLMOps practices focusing on performance monitoring, cost optimization, and model evaluation. Work with AWS Services: Hands-on usage of AWS Bedrock, SageMaker, S3, Lambda, API Gateway, IAM, CloudWatch, and serverless computing to deploy and manage scalable AI solutions. Contribute to Use Cases: Develop AI-driven solutions like AI copilots, enterprise search engines, summarizers, and intelligent function-calling systems. Cross-functional Collaboration: Work closely with product, data, and DevOps teams to deliver scalable and secure AI products. Qualifications 5+ years of experience in AI/ML roles, focusing on LLM agent development, data, science workflows, and system deployment. A Bachelor's degree in Computer Science, Software Engineering, or a related field Demonstrated experience in designing domain-specific AI systems and integrating structured/unstructured data into AI models. Proficiency in designing scalable solutions using LangChain and vector databases. Deep knowledge of LLMs and foundational models (GPT-4, Claude, Mistral, LLaMA, Gemini). Strong expertise in Prompt Engineering, Chain-of-Thought reasoning, and Fine-Tuning methods. Proven experience building RAG pipelines and working with modern vector stores (FAISS, Pinecone, Weaviate, Qdrant). Hands-on proficiency in LangChain, LlamaIndex, Haystack, and DSPy frameworks. Model deployment skills using HuggingFace, vLLM, Ollama, and handling LoRA/QLoRA, PEFT, GGUF models. Practical experience with AWS serverless services: Lambda, S3, API Gateway, IAM, CloudWatch. Strong coding ability in Python or similar programming languages. Experience with MLOps/LLMOps for monitoring, evaluation, and cost management. Familiarity with security standards: guardrails, PII protection, secure API interactions. Use Case Delivery Experience: Proven record of delivering AI Copilots, Summarization engines, or Enterprise GenAI applications. Additional Information Benefits At Quantanite, we ask a lot of our associates, which is why we give so much in return. In addition to your compensation, our perks include: Dress: Wear anything you like to the office. We want you to feel as comfortable as when working from home. Employee Engagement: Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements. Professional development: We love giving back and ensure you have opportunities to grow with us and even travel on occasion. Events: Regular team and organisation-wide get-togethers and events. Value orientation: Everything we do at Quantanite is informed by our Purpose and Values. We Build Better. Together. Future development: At Quantanite, you’ll have a personal development plan to help you improve in the areas you’re looking to develop over the coming years. Your manager will dedicate time and resources to supporting you in getting you to the next level. You’ll also have the opportunity to progress internally. As a fast-growing organization, our teams are growing, and you’ll have the chance to take on more responsibility over time. So, if you’re looking for a career full of purpose and potential, we’d love to hear from you!

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

Entity: Technology Job Family Group: IT&S Group Job Description: A results-oriented Senior Architect with a proven track record of delivering end-to-end cloud solutions across infrastructure, data, DevOps, and AI domains. Skilled in architecting, implementing, and governing secure, scalable, and high-performing Azure architectures that align with both technical requirements and business objectives. Brings deep expertise in Azure IaaS and PaaS services, DevOps automation using Azure DevOps, and AI integration through Azure OpenAI and Copilot Studio, enabling intelligent, modern, and future-ready enterprise solutions. Expertise spans Azure infrastructure management, CI/CD automation, Infrastructure as Code (ARM), Azure Data Factory (ADF) pipelines, and enterprise AI adoption. Demonstrated ability to build and support scalable, secure, and cost-optimized Azure environments aligned with governance and compliance standards. Strong background in SQL Server administration—handling deployment, upgrades (in-place and side-by-side), performance tuning, backup/restore strategies, high availability, and security hardening both on Azure VMs and PaaS SQL offerings. Experienced in migrating databases across environments using native tools, scripting, and automation workflows. Combines deep cloud expertise with solid development and scripting skills (PowerShell) to enable automation, integration, and operational excellence. Adept at collaborating with cross-functional teams, mentoring junior engineers, and aligning technical solutions with evolving business goals. Key Accountabilities Design and manage scalable, secure, and highly available Azure infrastructure environments. Implement and maintain Azure IaaS resources such as Virtual Machines, NSGs, Load Balancers, VNETs, VPN Gateways, and ExpressRoute. Perform cost optimization, monitoring, backup/recovery, patching, and capacity planning. Implement governance using Azure Policies, RBAC, and Management Groups. Design and configure Azure PaaS services like Azure App Services, Azure SQL, Azure Web Apps, Azure Functions, Storage Accounts, Key Vault, Logic Apps, and Ensure high availability and DR strategies for PaaS components. Design multi-tier, cloud-native application architectures on Azure.Troubleshoot PaaS performance and availability issues. Integrate Azure OpenAI capabilities into applications and business workflows Develop use cases such as chatbot assistants, intelligent search, summarization, document Q&A, etc. Leverage Copilot Studio to build and deploy enterprise AI copilots integrated with data sources. Ensure responsible AI and compliance alignment. Design and manage data pipelines and orchestrations in ADF for ETL/ELT processes. Integrate with Azure Data Lake, Azure SQL, Blob Storage, and on-prem data sources. Build and manage CI/CD pipelines using Azure DevOps Automate infrastructure deployment using ARM templates Configure and manage release gates, approvals, secrets, and environments. Implement Infrastructure as Code (IaC) and GitOps best practices. Implement identity management using Azure AD, MFA, Conditional Access. Manage secrets using Azure Key Vault, secure access via Managed Identities. Develop reusable and parameterized ARM templates modules for consistent deployments. Maintain template versioning using Git repositories. Use templates in Azure DevOps pipelines and automate deployment validations. Align templates with security and compliance baselines (e.g., Azure Landing Zones). Collaborate with architects, developers, data engineers, and security teams to design solutions. Lead technical discussions and present solutions to stakeholders. Mentor junior engineers and conduct code reviews. Stay updated with Azure roadmap, and guide on service adoption. Essential Education Bachelor's (or higher) degree from a recognized institute of higher learning, ideally focused in Computer Science, MIS/IT, or other STEM related subjects. Essential Experience And Job Requirements Technical capability: Primary Skills: Azure IaaS, PaaS & Core Services Azure OpenAI / Copilot Studio SQL Server & Azure Data Factory (ADF) Secondary Skills: Security & Governance Monitoring & Observability DevOps & CI/CD Business capability: Service Delivery & Management Domain expertise – Legal and Ethics & Compliance Leadership and EQ: For those in team leadership positions (whether activity or line management) Always getting the basics right, from quality development conversations to recognition and ongoing performance feedback. Has the ability to develop, coach, mentor and inspire others. Ensures team compliance with BP's Code of Conduct and demonstrates strong leadership of BP's Leadership Expectations and Values & Behaviours. Creates an environment where people are listening and speak openly about the good, the bad, and the ugly, so that everyone can understand and learn, so that everyone can understand and learn. All role holders Embraces a culture of change and agility, evolving continuously, adapting to our changing world. Effective team player looks beyond own area/organisational boundaries to consider the bigger picture and/or perspective of others. Is self-aware and actively seeks input from others on impact and effectiveness. Applies judgment and common sense – able to use insight and good judgement to enable commercially sound, efficient and pragmatic decisions and solutions and to respond to situations as they arise. Ensures personal compliance with BP's Code of Conduct and demonstrates strong leadership of BP's Leadership Expectations and Values & Behaviours. Cultural fluency – actively seeks to understand cultural differences and sensitivities. Travel Requirement No travel is expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Agility core practices, Analytics, API and platform design, Business Analysis, Cloud Platforms, Coaching, Communication, Configuration management and release, Continuous deployment and release, Data Structures and Algorithms (Inactive), Digital Project Management, Documentation and knowledge sharing, Facilitation, Information Security, iOS and Android development, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Relational Data Modelling, Risk Management, Scripting, Service operations and resiliency, Software Design and Development, Source control and code management {+ 4 more} Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About Yubi Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. Our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset-based securitization Spocto - Debt recovery & risk mitigation platform Accumn - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises So far, we have onboarded more than 17000 enterprises, 6200 investors, and lenders and facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come join the club to be a part of our epic growth story. Requirements Key Responsibilities: Lead and mentor a dynamic Data Science team in developing scalable, reusable tools and capabilities to advance machine learning models, specializing in computer vision, natural language processing, API development and Product building. Drive innovative solutions for complex CV-NLP challenges, including tasks like image classification, data extraction, text classification, and summarization, leveraging a diverse set of data inputs such as images, documents, and text. Collaborate with cross-functional teams, including DevOps and Data Engineering, to design and implement efficient ML pipelines that facilitate seamless model integration and deployment in production environments. Spearhead the optimization of the model development lifecycle, focusing on scalability for training and production scoring to manage significant data volumes and user traffic. Implement cutting-edge technologies and techniques to enhance model training throughput and response times. Required Experience & Expertise: 3+ years of experience in developing computer vision models and applications. Extensive knowledge and experience in Data Science and Machine Learning techniques, with a proven track record in leading and executing complex projects. Deep understanding of the entire ML model development lifecycle, including design, development, training, testing/evaluation, and deployment, with the ability to guide best practices. Expertise in writing high-quality, reusable code for various stages of model development, including training, testing, and deployment. Advanced proficiency in Python programming, with extensive experience in ML frameworks such as Scikit-learn, TensorFlow, and Keras and API development frameworks such as Django, Fast API. Demonstrated success in overcoming OCR challenges using advanced methodologies and libraries like Tesseract, Keras-OCR, EasyOCR, etc. Proven experience in architecting reusable APIs to integrate OCR capabilities across diverse applications and use cases. Proficiency with public cloud OCR services like AWS Textract, GCP Vision, and Document AI. History of integrating OCR solutions into production systems for efficient text extraction from various media, including images and PDFs. Comprehensive understanding of convolutional neural networks (CNNs) and hands-on experience with deep learning models, such as YOLO. Strong capability to prototype, evaluate, and implement state-of-the-art ML advancements, particularly in OCR and CV-NLP. Extensive experience in NLP tasks, such as Named Entity Recognition (NER), text classification, and on finetuning of Large Language Models (LLMs). This senior role is tailored for visionary professionals eager to push the boundaries of CV-NLP and drive impactful data-driven innovations using both well-established methods and the latest technological advancements. Benefits We are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age.

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

Job Title: Data Scientist Location: Chandigarh (Work from Office) Experience Required: 3+ Years Company: SparkBrains Private Limited Job Description: We are looking for a Data Scientist with 3+ years of hands-on experience in Machine Learning, Deep Learning, and Large Language Models (LLMs). The ideal candidate should possess strong analytical skills, expertise in data modeling, and the ability to develop and deploy AI-driven solutions that add value to our business and clients. Key Responsibilities: 1) Data Collection & Preprocessing: Gather, clean, and prepare structured and unstructured data for model training and evaluation. 2) Model Development: Design, develop, and optimize machine learning and deep learning models to solve real-world business problems. 3) LLM Integration: Build, fine-tune, and deploy Large Language Models (LLMs) for various NLP tasks, including text generation, summarization, and sentiment analysis. 4) Feature Engineering: Identify relevant features and implement feature extraction techniques to improve model accuracy. 5) Model Evaluation & Optimization: Conduct rigorous evaluation and fine-tuning to enhance model performance and ensure scalability. 6) Data Visualization & Insights: Create dashboards and reports to communicate findings and insights effectively to stakeholders. 7) API Development & Deployment: Develop APIs and integrate AI/ML models into production systems. 8) Collaboration & Documentation: Collaborate with cross-functional teams to understand business requirements and document all processes and models effectively. Required Skills & Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field. Experience: Minimum 3+ years of proven experience as a Data Scientist/AI Engineer. Technical Skills: 1) Proficiency in Python and relevant ML/AI libraries such as TensorFlow, PyTorch, Scikit-Learn, etc. 2) Hands-on experience with LLMs (e.g., OpenAI, Hugging Face, etc.) and fine-tuning models. 3) Strong understanding of Natural Language Processing (NLP), neural networks, and deep learning architectures. 4) Knowledge of data wrangling, data visualization, and feature engineering techniques. 5) Experience with APIs, cloud platforms (AWS, Azure, or GCP), and deployment of AI models in production. 6) Analytical & Problem-Solving Skills: Strong analytical mindset with the ability to interpret data and derive actionable insights. 7) Communication Skills: Excellent verbal and written communication skills to effectively collaborate with technical and non-technical teams. Why Join Us? - Opportunity to work on cutting-edge AI/ML projects. - Collaborative work environment with a focus on continuous learning. - Exposure to diverse industries and domains. - Competitive salary and growth opportunities. Job Type: Full-time Pay: ₹480,000.00 - ₹1,000,000.00 per year Benefits: Paid sick time Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

PluginLive Technologies- a recruitment tech company is hiring for DLF Family Office About the organization: DLF is the largest publicly listed real estate company in India, with residential, commercial, and retail properties in 15 states and 24 cities. With more than 75 years of real estate investment, development, and management experience, DLF has an unparalleled scale of delivery and an unmatched track record of customer-centric service excellence in India. DLF Family Office is a family investment firm. The position is located at Connaught Place, New Delhi, India, in the Family office of DLF promoter group. Roles & Responsibilities The Company is looking to hire a candidate who will be part of the DLF Family Office. This is an all-encompassing role where the candidate will be groomed to work across verticals on various aspects related to the Promoter group, but particularly in areas of Portfolio Investments, Analytics, MIS Reporting, Taxation of investments, and related areas. Investments: The candidate should possess sound skills of Researching and managing Indian public market Investments (listed securities) Analysis and summarization of financial reports, preparing MIS & updating the Investment Memorandum from time to time Conducting thorough analysis of Investment proposals of various nature such as funds, REITS, Bonds, INVITs, stocks, IPOs and more Arranging requisite documents related to tax returns and provide tax planning advice Manage investments in India and offshore, including planning, deployment of idle cash, vetting legal documentation, fund selection, and pricing negotiation. Continuously develop a deep understanding of macro-level sectoral trends Engage with bankers, consultants, Mutual funds, advisors etc on an ongoing basis to monitor market opportunities. Prepare MIS, Notes, presentations, SOPs Deal with lawyers, bankers, mutual funds, consultants, and advisors to devise solutions for investment approval from the promoter. Regulatory Compliance: Ensure Compliance with Regulatory guidelines in India and abroad relevant to Financial Investments. Regularly plan for contingencies and spot potential issues. Raise these to the General Manager. Provide suggestions with care and due diligence with the objective of indemnifying the promoter from any harm in the future. Others: Maintain professionalism and strict confidentiality with all materials, and exercise discretion when interfacing with the business Assist General Manager with all aspects of work. In addition to this, there could evolve other responsibilities that may get added/subtracted over time Position Requirements This is a full-time role where the candidate is expected to have: Experience in Banking, Consulting, Investment or Family Office roles Completion of CFA level 2 (at a minimum) Excellent communication (oral and written) and analytical skills Full time employment based in Connaught Place Proficient in preparing Decks and Investment Memoranda Proficient in MS Office tools (Word, Excel, PowerPoint, Teams) & Tally Ability to think strategically, see the big picture, recognize the impact of decisions, and pay attention to detail.

Job Title: Network Engineer Location: Hybrid-Hyderabad/Mumbai/Pune/Bengaluru/Chennai About the Job: The Network Engineer role focuses on managing hybrid cloud and on-premises network infrastructures. It requires advanced expertise in AWS VPC, routing protocols, firewalls (Checkpoint and Cisco ASA), Meraki Wi-Fi, Big-IP F5 LTM/APM appliances, and Single Sign-On (SSO) technologies. This role involves coordinating with department teams to build, manage, and optimize both cloud and on-premises network solutions to ensure scalability, security, and high performance. What you will do: AWS Cloud Network Architecture: Design, implement, and manage AWS VPC, including transitive VPC, Transit Gateway, Direct Connect, Virtual Private Gateway (VGW), VPN, IPSec, Security Groups, Network ACLs, and ASM for robust and secure cloud-based networking. Routing Protocols and Network Design: Configure and manage routing protocols such as OSPF, EIGRP, BGP, RIP, PBR (Policy-Based Routing), Route-Filtering, Redistribution, Summarization, and Multicast Routing to ensure optimized data flow within cloud and on-premises networks. Firewall Management: Manage and configure Checkpoint Firewalls for both cloud and on-premises environments, including policy management, traffic filtering, and security auditing. Implement AWS security best practices, including configuring security groups, NACLs, and AWS firewalls to enforce network security. AAA Architecture: Implement and manage AAA (Authentication, Authorization, and Accounting) services using RADIUS and TACACS for secure access control across network devices. Big-IP F5 LTM & APM Management: Configure and manage Big-IP F5 Local Traffic Manager (LTM) and Access Policy Management (APM) cloud edition appliances for load balancing, traffic management, and high availability of cloud-based applications. Network Protocols: Strong expertise in network protocols such as IP, TCP, UDP, ICMP, NAT, DNS, DHCP, SNMP, IPSec, SSL, HTTP, SSH, SIP, RTP, QoS, and AAA for robust network operations. Meraki Wi-Fi Deployment: Deploy and manage Meraki Wi-Fi solutions, configure 802.1x, EAP-PEAP for secure wireless authentication, and manage Meraki MS, MX, and MR devices for network access, security, and monitoring. Single Sign-On (SSO): Strong understanding and hands-on experience with Single Sign-On (SSO) architecture and protocols (e.g., SAML 2.0, OAuth 2.0, OpenID Connect). Implement and manage Okta for SSO integration across enterprise applications, ensuring seamless user authentication and access management. VPN & Secure Connectivity: Manage and optimize site-to-site VPNs and IPSec tunnels to securely connect cloud resources with on-premises infrastructures. Manage Cisco VPN solutions, ensuring reliable, secure connectivity between distributed networks. Network Monitoring & Troubleshooting: Monitor and troubleshoot network performance using AWS CloudWatch, Meraki Dashboard, SolarWinds OpManager and Wireshark to identify and resolve connectivity, performance, and security issues across the hybrid network environment. Network Vulnerability Mitigation: Identify, assess, and mitigate vulnerabilities in both cloud and on-premises networks to ensure security and compliance. Collaborate with security teams for penetration testing, risk assessments, and incident response. Audit/SIEM Solutions: Implement and manage IPS/IDS, Nessus, Anti-virus, and vulnerability management tools to monitor and respond to security incidents. Use SIEM tools for threat analysis, network monitoring, and compliance with security standards. Automation & Infrastructure as Code: Utilize Terraform, AWS CloudFormation, and other Infrastructure as Code (IaC) tools to automate the deployment of cloud and on-premises network resources, ensuring consistency and repeatability. Collaboration and Documentation: Collaborate with cross-functional teams to ensure network scalability, high availability, and disaster recovery. Maintain clear, comprehensive documentation for network configurations, security policies, troubleshooting guides, and architectural designs. Who you are: Education & Experience: Bachelor’s degree in computer science, Network Engineering, or a related field, or equivalent work experience. 5+ years of experience in AWS cloud networking, with a focus on VPC, Transit Gateway, Direct Connect, VGW, VPN configurations, and on-premises network switching and routing (Cisco, Meraki, etc.). Technical Skills: Strong experience with Checkpoint firewalls and Cisco ASA firewalls. Extensive knowledge and hands-on experience with routing protocols such as OSPF, EIGRP, BGP, RIP, and MPLS. In-depth experience with Meraki devices (MX, MS, MR), including Wi-Fi deployments, 802.1x, and EAP-PEAP. Experience with Big-IP F5 LTM/APM cloud edition for load balancing and application traffic management. Expertise in WAN technologies such as Ethernet, MPLS VPN, Frame Relay, T1/T3, and OC standards. Strong proficiency in networking protocols such as TCP/IP, DNS, DHCP, NAT, SNMP, SSL, HTTP, RTP, SIP, and QoS. Hands-on experience with AAA (RADIUS/TACACS) architecture and security protocols. Familiarity with WAN optimization technologies and best practices for optimizing network performance. Proficiency in VPN technologies (site-to-site and remote access) and secure network connectivity. Proficient in network vulnerability mitigation, including vulnerability assessment, patch management, and risk management. Strong experience with penetration testing, risk assessments, and incident response processes to identify and address security weaknesses in both cloud and on-premises environments. Experience with Audit/SIEM solutions (e.g., IPS/IDS, Nessus scanning, Anti-virus, vulnerability management) for real-time network monitoring and threat detection Cisco certifications such as CCNA, CCNP, or equivalent networking certifications are required AWS Certification (e.g., AWS Certified Advanced Networking – Specialty, AWS Certified Solutions Architect – Associate) is highly preferred. Soft Skills: Able to assist non-technical users with technical issues and simplify complex concepts for both technical and non-technical stakeholders. Comfortable handling diverse tasks and adjusting priorities in a dynamic environment. English Languageproficiency is required to effectively communicate in a professional environment. Excellent communication skills are a must. Strong problem-solving skills and a creative mindset to bring fresh ideas to the table. Shoulddemonstrateconfidence and self-assurance in their skills and expertise enabling them to contribute to team success and engage with colleagues and clients in a positive, assured manner. Should be accountable and responsible for deliverables and outcomes. Should demonstrateownership of tasks, meet deadlines, and ensure high-quality results. Demonstrates strong collaboration skills by working effectively with cross-functional teams, sharing insights, and contributing to shared goals and solutions. Continuously explore emerging trends, technologies, and industry best practices to drive innovation and maintain a competitive edge.