451 Summarization Jobs - Page 11

Description The Selling Partner Trust & Integrity organization's North Star vision ensures that while bad actors are effectively blocked, legitimate selling partners can build and grow their businesses without disruption, fostering trust and confidence in Amazon's store integrity worldwide. Within this framework, the Selling Partner Support Operations (SPTO) Registration and Compliance Escalations Support (RCES) team manages high-priority escalations across executive, legal, PR, and regulatory channels. RCES team's scope encompasses multiple verification, compliance and Regulatory programs. Through close partnership with product, tech, and operations teams, RCES provides comprehensive resolution on escalations while conducting detailed Root Cause Analysis (RCA) where required. Beyond immediate issue resolution, through Close Loop Mechanism (CLM) program RCES plays a crucial role in improving the selling partner experience by identifying process gaps and developing and tracking effective, scalable solutions to prevent similar issues from arising in the future. About The Role We're seeking a highly analytical Business Analyst to join our RCES team to analyze complex business decisions, develop workflow tools, and transform large-scale datasets into actionable insights through dashboards and automated solutions. The ideal candidate will have strong SQL proficiency and experience with visualization tools like Quicksight, Tableau, or Power BI, along with the ability to work across multiple data platforms including AWS. This role requires someone who can design effective data schemas, leverage internal AI tools to automate root cause documentation and VOS data summarization, while collaborating with Business Intelligence and Data Engineering teams. The position demands expertise in handling real-time and near real-time data, strong problem-solving skills, and the ability to elevate our technical capabilities while working with our distributed analytics team to drive process improvements through automation and data-driven solutions. Basic Qualifications Bachelor's degree in Business, Analytics, Computer Science, or related field 5+ year’s experience in data analytics with advanced Excel proficiency (VBA, pivot tables, array functions, power pivots) 3+ years hands-on experience with data visualization tools (Tableau, Quicksight, or Power BI) Strong SQL proficiency and experience working with large datasets Demonstrated experience in requirements gathering and metrics-driven analysis Track record of translating complex data into actionable business recommendations Experience collaborating with cross-functional teams and influencing senior stakeholders Background in automation and process improvement initiatives Strong problem-solving and analytical skills with attention to detail Excellent written and verbal communication skills Experience with AI/ML tools and automated workflow development Preferred Qualifications Master's degree in Business Analytics, Data Science, Finance, or related quantitative field 3+ year’s experience in business analytics, risk management, or related analytical fields Knowledge of AWS services and cloud-based data platforms Experience working with global, distributed teams Project management experience leading cross-functional initiatives Background in process automation and optimization Understanding of risk management frameworks and compliance processes Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - BLR 14 SEZ Job ID: A2999527 Show more Show less

This role is for one of our clients Industry: Technology, Information and Media Seniority level: Mid-Senior level Min Experience: 6 years Location: Bangalore JobType: full-time About The Role We’re looking for an Advanced AI Scientist who thrives at the intersection of cutting-edge research and production-grade AI development. In this role, you will lead initiatives to build and deploy generative AI systems with applications across vision and language . From fine-tuning large-scale transformer models to integrating computer vision pipelines, your work will power next-generation features across our AI-driven product suite. This role offers an opportunity to dive deep into generative models, leverage both LLMs and computer vision systems , and collaborate with a team that believes in pushing technical boundaries. What You’ll Do Architect and train generative AI models including diffusion models, GANs, and transformer-based systems for text and image generation. Fine-tune and optimize Large Language Models (LLMs) like GPT, T5, or BERT for use cases such as summarization, content generation, and intelligent chat interfaces. Develop robust computer vision pipelines using OpenCV for tasks such as image enhancement, object recognition, or scene understanding. Collaborate with cross-functional teams across product, engineering, and design to embed intelligent capabilities into production systems. Prototype with Keras, PyTorch, and TensorFlow to build scalable models that transition smoothly from research to production. Analyze large datasets, clean noisy inputs, and build preprocessing pipelines optimized for multimodal AI workflows. Stay current with research developments in AI/ML—transformers, diffusion models, multimodal learning—and bring those insights into applied projects. Ensure high availability and performance of models in cloud and edge environments via containerized deployments using Docker and Kubernetes. Contribute to internal knowledge sharing and mentor junior members of the AI/ML team. What You Bring 6–11 years of hands-on experience in AI/ML engineering , particularly in generative models and applied deep learning. Deep expertise in Python , with practical knowledge of PyTorch , TensorFlow , and Keras . Experience designing, fine-tuning, and deploying LLMs in real-world applications. Strong foundation in computer vision , including techniques like image segmentation, detection, and transformation using OpenCV . Fluency in NLP techniques—tokenization, embeddings, transformers, attention mechanisms, etc. Comfort working with cloud environments (AWS, GCP, Azure) and container orchestration using Docker and Kubernetes . Demonstrated ability to deliver AI models from experimentation to production. Strong communication skills and ability to work cross-functionally in agile teams. Preferred Master’s or PhD in Computer Science, Machine Learning, AI, or related fields. Research publications or open-source contributions in generative AI or computer vision. Experience working in fast-paced startups or product-centric environments with ownership of AI initiatives. Familiarity with vector databases, prompt engineering, or multimodal AI systems. Show more Show less

This role is for one of Weekday's clients Salary range: Rs 1200000 - Rs 1500000 (ie INR 12-15 LPA) Min Experience: 4 years Location: Bengaluru JobType: full-time Requirements About the Role We're looking for a highly skilled and motivated AI Engineer to join our growing team of machine learning practitioners, data scientists, and engineers. This role is ideal for someone passionate about building cutting-edge AI solutions using modern deep learning and NLP frameworks. You will work on a wide range of problems—from training and fine-tuning large language models to deploying intelligent systems at scale—while collaborating across product, data, and engineering teams. As an AI Engineer, you will be at the core of our AI initiatives, applying your knowledge in Python, PyTorch, TensorFlow, Scikit-Learn, and other key libraries to build, optimize, and deploy high-performing models. You will also be instrumental in adopting MLOps best practices to ensure that our models are scalable, maintainable, and reproducible. Key Responsibilities Design, develop, and deploy machine learning and deep learning models for real-world AI applications with a focus on natural language processing (NLP). Leverage libraries like PyTorch, TensorFlow, and Scikit-learn to build and train custom ML/DL models. Use Hugging Face Transformers, spaCy, and other NLP libraries to fine-tune and integrate state-of-the-art models for tasks like classification, summarization, entity recognition, and question answering. Implement MLOps practices such as experiment tracking, model versioning, CI/CD pipelines, and automated deployment. Collaborate with data engineers and analysts to preprocess and clean large datasets using Pandas and NumPy. Build and maintain reusable code and model components to streamline development and promote best practices. Evaluate model performance using rigorous metrics and troubleshoot issues related to bias, overfitting, or latency. Stay updated with the latest research, tools, and trends in AI, especially in the rapidly evolving NLP domain. Work cross-functionally with product, engineering, and business teams to define AI use cases and deliver high-impact solutions. Required Skills & Qualifications 4+ years of hands-on experience as an AI/ML Engineer or similar role. Strong programming skills in Python, with deep understanding of data structures, algorithms, and OOP principles. Expertise in PyTorch and/or TensorFlow for building and deploying deep learning models. Proficiency with Scikit-Learn, Pandas, NumPy, and other core Python libraries used in ML pipelines. Solid understanding and practical experience in natural language processing (NLP) using tools such as HuggingFace, spaCy, or similar. Familiarity with MLOps workflows, including model deployment, version control, and monitoring. Experience working with cloud environments or containerization tools is a plus (e.g., Docker, Kubernetes, AWS, GCP). Strong problem-solving, analytical, and communication skills. Preferred Qualifications Master's or Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field. Experience working on production-level NLP applications. Contributions to open-source ML libraries or participation in ML research Show more Show less

hackajob is collaborating with American Express to connect them with exceptional tech professionals for this role. You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skill fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex. How will you make an impact in this role? The Infrastructure Data & Analytics team unifies FinOps, Data Science and Business Intelligence to enable Technology cost transparency, infrastructure performance optimization and commercial efficiency for the enterprise through consistent, high-quality data and predictive analytics. This team within Global Infrastructure aims to establish and reinforce a culture of effective metrics, data-driven business processes, architecture simplification, and cost awareness. Metric-driven cost optimization, workload-specific forecasting and robust contract management are among the tools and practices required to drive accountability for delivering business solutions that derive maximum value. The result will provide a solid foundation for decision-making around cost, quality and speed. We are seeking a strong, data-driven Senior Technical Program Manager who knows that delivering on that promise takes foresight, planning and agility. The Sr. Technical Program Manager will be a key member of the team, and will leverage their technical knowledge and project management skills to drive delivery of our data architecture target state implementation, data model migration, and data automation workstreams that underpin our Infrastructure Data Visualization Portal and other capabilities. They will translate business decisions into data analytics and visualization requirements, prioritize the team’s sprint backlog, and support engagement with data providers to ensure data is accessed and ingested consistently and correctly. This individual will be responsible for ensuring excellent and timely execution following agile practices and implementing appropriate agile ceremonies to manage risks and dependencies. This individual will require a unique blend of strong data analytics and leadership skills to manage and prioritize the data requirements across our suite of data and analytics tools and dashboards. They will bring passion for data-driven decisions, user experience, and execution to the role. Key Responsibilities Include Steer execution of data architecture and data model migrations to meet the needs of FinOps, Data Science and Business Intelligence teams, as well as other key partners Lead technical program conversations on architectureal approach, system design and data management and compliance Actively manage backlog for data migration, automation, and ingestion workstreams Develop and maintain data source and feature request ticketing process in Jira Partner across ID&A teams to ensure data requirements are met and timeline risks are managed and mitigated Establish appropriate agile processes to track and manage dependencies across disciplines in staying on track to meet short-term and long-term implementation roadmaps Collaborate with product teams to refine, prioritize, and deliver data and feature requirements through technical acumen, customer-first perspective, and enterprise mindset Support development of appropriate reporting processes to measure OKRs and performance metrics for delivery of our data lake architecture Create an environment of continuous improvement by steering and delivering reflective conversation and regular retrospectives, project standups, workshops, communications, and shared processes to ensure transparency of development process and project performance Facilitate stakeholder engagement, decision-making, and building trust across data providers and critical stakeholders Work with IT Asset Management, Enterprise Architecture, and Business & Vendor Management teams to define enterprise-scalable solutions that meet the needs of multiple stakeholders Partner with data engineering teams to develop, test and deliver the defined capabilities and rapidly iterate new solutions Facilitate and prepare content for leadership updates on delivery status and key decisions needed to support project delivery and de-risk implementation obstacles Partner in PI planning meetings and other Agile ceremonies for the team: pressure testing plans for feasibility and capacity Monitor and ensure compliance with SDLC standards Ensure and instill documentation best practices to ensure designs meet requirements and processes are repeatable Leverage the evolving technical landscape as needed, including AI, Big Data, Machine Learning and other technologies to deliver meaningful business insights Establish ongoing metrics and units of measurement to clearly define success and failure points and to guide feature/capability prioritization based on business priorities Draft impactful and comprehensive communications, presentations, and talking points for key business reviews, executive presentations, and discussions; escalate and facilitate resolution of risks, issues, and changes tied to product development Act as point of contact for internal inquiries and key partnerships across Technology and business teams Minimum Requirements 6+ years of experience delivering data lake or backend data platform capabilities and features built using modern technology and data architecture techniques Proven track record for managing large, complex features or products with multiple partners Technical understanding of event-driven architectures, API-first design, cloud-native technologies, and front-end integration patterns in order to discuss technical challenges about system design and solutioning Ability to create clarity and execute plans in ambiguity, and to inspire change without direct authority Self-starter who is able to provide thought leadership and prioritization with limited guidance and in a complex environment Experience in data analytics, data architecture, or data visualization Outstanding influential and collaboration skills; ability to drive consensus and tangible outcomes, demonstrated by breaking down silos and fostering cross-team communication Experience facilitating Agile, Scrum or other rapid application development teams to deliver technology solutions on time, on budget, and to spec Capable of leading technology and culture change with excellent strategic and technical thought leadership, and strong program management skills High attention to organization and detail in a deadline-driven work environment Proven ability to solve problems and resolve issues with appropriate communications and escalation criteria Outstanding oral and written communication skills with strong personal presence; active listening skills, summarization skills, and lateral thinking to uncover and react to emerging opportunities Deep understanding of the full lifecycle of rpodcut development, from concept to delivery, including Test Driven Development (TDD) Understanding of complex software delivery including build, test, deployment, and operations; conversant in AI, Data Science, and Business Intelligence concepts and technology stack Experience working with technology business management, technology infrastructure or enterprise architecture teams a plus Experience with design and coding across one or more platforms and languages a plus Bachelor’s degree in computer science, data engineering, data analytics, or other technical discipline, or equivalent work experience preferred Benefits We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Show more Show less

Role – AIML Data Scientist Location : Coimbatore Mode of Interview - In Person Job Description: 1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem b. Improve Model accuracy to deliver greater business impact c. Estimate business impact due to deployment of model 2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge 3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch 5. Experience in using Deep learning models with text, speech, image and video data a. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc b. Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV c. Knowledge of State of the art Deep learning algorithms 6. Optimize and tune Deep Learnings model for best possible accuracy 7. Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau 8. Work with application teams, in deploying models on cloud as a service or on-prem a. Deployment of models in Test / Control framework for tracking b. Build CI/CD pipelines for ML model deployment 9. Integrating AI&ML models with other applications using REST APIs and other connector technologies 10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Technology/Subject Matter Expertise Sufficient expertise in machine learning, mathematical and statistical sciences Use of versioning & Collaborative tools like Git / Github Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming Develop prototype level ideas into a solution that can scale to industrial grade strength Ability to quantify & estimate the impact of ML models Softskills Profile Curiosity to think in fresh and unique ways with the intent of breaking new ground. Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control Ability to think ahead, and anticipate the needs for solving the problem will be important Ability to communicate key messages effectively, and articulate strong opinions in large forums Desirable Experience: Keen contributor to open source communities, and communities like Kaggle Ability to process Huge amount of Data using Pyspark/Hadoop Development & Application of Reinforcement Learning Knowledge of Optimization/Genetic Algorithms Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios Optimize and tune deep learning model for best possible accuracy Understanding of stream data processing, RPA, edge computing, AR/VR etc Appreciation of digital ethics, data privacy will be important Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

1. Job Title: RAG-Based LLM Specialist / Full Stack Developer 2. Deployment Type: Onsite 3. Experience Requirement: Minimum 1 year and less than 3 years of relevant experience 4. Educational Qualification: Relevant Graduate Degree (e.g., BCA, B.Tech, B.Sc in CS/IT) OR any graduate with a diploma in computers 5. Certification Requirement: Relevant certifications in the field of software development, NLP, ML, or related technologies 6. Required Technical Expertise: Programming and Development Skills: Proficiency in .NET as a Full Stack Developer Strong knowledge of AI/ML development Proficiency in Python, C#, and Java Experience with JavaScript (JS) and React Web Development and Frameworks: Proficiency in ASP.NET MVC and J Query Experience with AngularJS and ExtJS Knowledge of HTML5/CSS Database and Integration: Proficiency in MySQL and PostGreSQL Experience in API integration GIS integration with database and migration experience (IGIST) Tools and Platforms: .NET Framework ASP.NET MVC 7. Key Responsibilities: Implementing and optimizing RAG-based LLM solutions for data retrieval and analysis Developing full stack applications with offline and low-bandwidth functionality Integrating advanced AI/ML features into solutions Creating algorithms for content matching, summarization, and generating reports Ensuring application compliance with data privacy and security protocols Integrating GIS services and supporting data migration efforts 8. Preferred Soft Skills: Problem-solving and analytical thinking Strong communication for effective teamwork Time management skills to meet project deadlines 9. Job Benefits: Opportunity to work on cutting-edge technology projects Collaborative environment with cross-functional teams 10. Application Details: Submit resume, relevant certifications, and portfolio of previous projects Job Types: Full-time, Permanent, Contractual / Temporary Contract length: 12 months Pay: ₹600,000.00 - ₹900,000.00 per year Benefits: Flexible schedule Internet reimbursement Paid sick time Schedule: Fixed shift Education: Master's (Required) Experience: Overall : 3 years (Required) total work: 3 years (Required) Java: 3 years (Preferred) Work Location: In person Application Deadline: 08/06/2025

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses. We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale. Responsibilities: Leadership & Management Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment; Drive the roadmap for machine learning projects aligned with business goals; Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery. Machine Learning & LLM Expertise Design, develop, and fine-tune LLMs and other machine learning models to solve business problems; Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction; Stay ahead of advancements in LLMs and apply emerging technologies; Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML. AWS Cloud Expertise Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.); Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS; Ensure best practices in security, monitoring, and compliance within the cloud infrastructure. Technical Execution Oversee the entire ML lifecycle, from research and experimentation to production and maintenance; Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows; Debug, troubleshoot, and optimize production ML models for performance. Team Development & Communication Conduct regular code reviews and ensure engineering standards are upheld; Facilitate professional growth and learning for the team through continuous feedback and guidance; Communicate progress, challenges, and solutions to stakeholders and senior leadership. Qualifications: Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models); Strong expertise in AWS Cloud Services; Strong experience in ML/AI, including at least 2 years in a leadership role; Hands-on experience with Python, TensorFlow/PyTorch, and model optimization; Familiarity with MLOps tools and best practices; Excellent problem-solving and decision-making abilities; Strong communication skills and the ability to lead cross-functional teams; Passion for mentoring and developing engineers.

Software Engineering Lead Analyst ABOUT EVERNORTH: Evernorth℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care, we solve the problems others don’t, won’t or can’t. Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference. We are always looking upward. And that starts with finding the right talent to help us get there. Position Summary: You will be joining a team transforming healthcare and improving the lives and vitality of the millions of members we serve. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. We are looking for Sr AI Engineers with strong engineering, full stack expertise to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions. The work you do will impact millions of customers, members, and employers that rely on Cigna every day. Extreme focus on speed to market and getting Products and Services in the hands of customer and passion to transform healthcare is key to the success of this role Job Description & Responsibilities : Build scalable software solutions using LLM’s and other ML models to solve challenges in healthcare Build enterprise grade AI solutions with focus on privacy, security, fairness. Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions Strong engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats as required – This is critical so that the AI output can be consumed as is and displayed on the dashboard for accelerated development cycles. Build extensible API Integrations, low code UI/UX solutions, with extremely short cycle times, to extract information from sources, integrate with GPT4, receive insights and make them available in intuitive, high performing dashboards Build solutions that align with responsible AI practices. Envision the solution outcomes to solve for the business problem with actionable insights and design viable solutions to meet the outcomes. Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies. Work with frameworks(Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Strong technical skills in machine learning and AI, especially natural language processing, generative models like GPT-3, DALL-E, etc. Understanding how these models work is crucial. Solid delivery experience of at least one large scale solution leveraging Gen AI. Experience with large-scale cloud infrastructure and services like AWS, GCP, Azure. Knowing how to build and deploy AI solutions leveraging cloud services. Software engineering skills - Ability to build systems and infrastructure to deploy AI models into production applications and ensure effective integration. Knowledge of AI Responsibility principles like safety, transparency, fairness and accountability. Assessing and mitigating risks from generative AI. Architectural design ability - Design effective pipelines, processes, validation mechanisms for building enterprise-grade generative AI solutions. Understanding of various applications of generative AI like summarization, translation, conversational systems, retrieval augmented generation Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contribute to the establishment of best practices and standards for generative AI development within the organization. Experience Required: 6 years of Full stack engineering expertise with languages like C#, Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects 2 years of experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus. Experience Desired: Experience with information storage/retrieval using vector databases. Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats(pdf, csv, doc, etc) Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index. Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field Primary Skills: Strong understanding and exposure in natural language generation or Gen AI like transformers, LLM’s, text embedding’s Strong knowledge of data structures, algorithms, and software engineering principles. Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. Additional Skills: Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

AI Engineer – Generative AIJob Summary At EXL, we are developing solutions for some of the most exciting and challenging AI and NLP business problems. If you want to push the existing AI (NLP) knowledge boundaries, then we have an excellent opportunity for you. We are looking for AI Engineers who can develop and deploy state of the art, scalable, and optimized AI system particularly in Generative AI driven by Large Language Models. As an AI Engineer, you are expected to have keen interest in AI - NLP and Machine Learning and staying current with the latest developments in this rapidly changing field. Major duty is to develop and package Generative AI solutions for business problems using Large Language Models and related technologies like Vector DBs, Embedders, Memory, Prompt Managers, response managers etc. in-production. Job Responsibilities Analyze text-based data and apply data science techniques to extract meaningful insights. Design, develop and implement LLM based solutions for a wide range of use cases involving tasks like classification, extraction, summarization, conversation, search, generation etc. on unstructured text data. Create and maintain state of the art scalable AI solutions in Python/ Java/ Scala for multiple business problems. This involves: Choosing most appropriate NLP model based on business needs and available data Performing data exploration and innovative feature engineering Fine-tuning a variety of NLP models including LLMs Augmenting models by integrating domain specific ontologies and/or external databases Reporting and Monitoring the solution outcome Work experience with document-oriented databases such as MongoDB, vector DBs etc. Collaborate with Engineering team to deploy AI(NLP) solutions in production. Ability to package AI solution in APIs. Experience with developing and deploying AI systems on cloud like AWS or Azure Interact with clients and internal business teams to perform solution feasibility as well as design and develop solutions. Open to working across different domains – Insurance, Healthcare and Financial Services etc. Education & Qualifications Number of Years of Work Experience: 2-4 years Required Skills Experience (including graduate school) on training and deploying NLP models- LLMs and related technologies. Expertise in transformer-based state of the NLP techniques Experience with working on tools for generative AI development stack like lang chain, LlamaIndex, chroma etc. Applied experience of machine learning algorithms using Python/Java/ Scala Organized, self-motivated, disciplined and detail oriented. Production level coding experience in Python/Java is required. Ability to Stay up-to-date with the latest advancements in Generative AI and Large Language Models research Experience with one or more of deep learning framework, including Pytorch, Tensorflow, Caffe, MxNet Experience with using cloud technologies on AWS/ Microsoft Azure is a plus What We Offer EXL Digital offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class AI/ML and NLP consultants. You do not just spend your time performing data crunching, doing research and coding but develop yourself as a seasoned data science expert with applied industry knowledge. You can expect to learn many aspects of businesses that our clients engage in. We provide you an opportunity to work on a variety of use cases across different industries – Insurance, Healthcare, Banking Finance and many more Projects drive you to go beyond lab setup and make real impact on live use cases through production deployments You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth AI/ML and NLP requires different skill sets at different levels within the organization. At EXL Digital, we invest heavily in training you in all aspects including AI/ML/NLP and cloud tools and techniques. We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors. Show more Show less

Contract Manager Essential Functions Perform organizational contract development and management Ensure contracts and proposals are properly entered into organizational database Ensure accuracy and appropriateness of contract text and attachments Review contractual performance of both parties to ensure compliance with terms Contribute in contract strategy meetings to identify issues and client requirements Develop standards for contracts Take ownership of project and run with them to completion Adhere to timelines and deliverables Identify, categorize, abstract and capture key information in the specified format Review different agreements for adherence to defined contract management position Administration of contract databases/repositories using contract management software or tools Participate in various domain & skill-enhancing trainings and development sessions Build and maintain effective relationships across various levels in different departments Participate in various trainings for overall professional development Ensure compliance with internal policies and procedures, external regulations and information security standards Skills Technical Skills Excellent understanding of contract management and good understanding of procurement concepts Strong analytical skills Excellent oral and writing skills Process Specific Skills Good exposure to contract management Experienced in drafting, summarization, synopsis creation, proof reading of documents Thorough understanding of contract terms and conditions from a meaning and implication standpoint Proficient in using desktop computer system, especially Microsoft Office package Soft skills (Desired) Proficient in legal knowledge and its application Eye for detail Proficient in English communication skills – written and spoken Expertise in MS Word, Excel, Power-point and good keyboarding speed Proficient in using the internet, web browsers, and search engines Experienced in creating process DTPs/SOPs Capable of working independently with least or no supervision Proficient in fostering a spirit of collaboration and team work Proficient in operational planning and process management Experienced in documentation and conformance with policies/compliances, including audit requirements Show more Show less

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications : • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Show more Show less

Dear Candidate, Greetings From Binary Semantics Ltd!! Immediate Hiring For AI Chatbot Developer - Gurgaon(WFO) About Product: Chatbot: AI chatbots have become instrumental in revolutionizing various industries, including insuretech, taxation, and fleet management. In the insuretech sector, AI chatbots are employed to enhance customer interactions, providing instant assistance with policy inquiries, claims processing, and policy renewals. These chatbots leverage natural language processing to understand and respond to customer queries, improving the overall customer experience and reducing response times. In taxation, AI chatbots streamline complex processes by assisting users with tax-related questions, helping them navigate tax regulations, and providing real-time updates on changes in tax laws. These chatbots can guide users through the filing process, ensuring accuracy and compliance while simplifying the overall tax experience. Fleet management benefits from AI chatbots by automating communication and decision-making processes. Chatbots in this context can provide real-time information on vehicle locations, maintenance schedules, and fuel consumption. They enable efficient coordination of fleet activities, optimizing routes, and addressing maintenance issues promptly. This not only improves operational efficiency but also contributes to cost savings and enhanced safety. Python Developer (AI Chatbot) Education: Btech / Mtech Experience: 2-4yr Location: Gurgaon Notice Period : Immediate or Max to max 10-15 days only Job Description: Developing chatbots and voice assistants on various platforms for diverse business use-cases Work on a chatbot framework/architecture using an open-source tool or library Implement Natural Language Processing (NLP) for chatbots Integration of chatbots with Management Dashboards and CRMs Resolve complex technical design issues by analyzing the logs, debugging code, and identifying technical issues/challenges/bugs in the process Ability to understand business requirements and translate them into technical requirements Open-minded, flexible, and willing to adapt to changing situations Ability to work independently as well as on a team and learn from colleagues Ability to optimize applications for maximum speed and scalability Skills Required: Minimum 2+ years of experience in Chatbot Development using any open-source framework (eg Rasa, Botpress) Experience with both text-to-speech and speech-to-text Should have a good understanding of various Chatbot frameworks/platforms/libraries Experience with integration of bots for platforms like Facebook Messenger, Slack, Twitter, WhatsApp, etc. Experience in applying different NLP techniques to problems such as text classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bot's design Should be familiar with these terms: Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context. Knowledge of either SQL and NoSQL Databases such as MySQL, MongoDB, Cassandra, Redis, PostgreSQL Interested candidate may share their resume on below mentioned email id with details: Juhi.khubchandani@binarysemantics.com Total Exp: Exp in Chatbot development: Exp in RASA: CTC: ECTC: NP: Location: Ready for Gurgaon(WFO): Regards, Juhi Khubchandani Talent Acquisition Binary Semantics Ltd. Show more Show less

About the Company Resources is the backbone of Publicis Groupe, the world’s third-largest communications group. Formed in 1998 as a small team to service a few Publicis Groupe firms, Re:Sources has grown to 5,000+ people servicing a global network of prestigious advertising, public relations, media, healthcare, and digital marketing agencies. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury, and risk management to help Publicis Groupe agencies do their best: create and innovate for their clients. In addition to providing essential, everyday services to our agencies, Re:Sources develops and implements platforms, applications, and tools to enhance productivity, encourage collaboration, and enable professional and personal development. We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. With our support, Publicis Groupe agencies continue to create and deliver award-winning campaigns for their clients. About the Role The main purpose of this role is to advance the application of business intelligence, advanced data analytics, and machine learning for Marcel. The Data Scientist will work with other data scientists, engineers, and product owners to ensure the delivery of all commitments on time and in high quality. Responsibilities Design and develop advanced data science and machine learning algorithms, with a strong emphasis on Natural Language Processing (NLP) for personalized content, user understanding, and recommendation systems. Work on end-to-end LLM-driven features, including fine-tuning pre-trained models (e.g., BERT, GPT), prompt engineering, vector embeddings, and retrieval-augmented generation (RAG). Build robust models on diverse datasets to solve for semantic similarity, user intent detection, entity recognition, and content summarization/classification. Analyze user behaviour through data and derive actionable insights for platform feature improvements using experimentation (A/B testing, multivariate testing). Architect scalable solutions for deploying and monitoring language models within platform services, ensuring performance and interpretability. Collaborate cross-functionally with engineers, product managers, and designers to translate business needs into NLP/ML solutions. Regularly assess and maintain model accuracy and relevance through evaluation, retraining, and continuous improvement processes. Write clean, well-documented code in notebooks and scripts, following best practices for version control, testing, and deployment. Communicate findings and solutions effectively across stakeholders — from technical peers to executive leadership. Contribute to a culture of innovation and experimentation, continuously exploring new techniques in the rapidly evolving NLP/LLM space. Qualifications Minimum Experience (relevant): 3 years Maximum Experience (relevant): 5 years Required Skills Proficiency in Python and NLP frameworks: spaCy, NLTK, Hugging Face Transformers, OpenAI, LangChain. Strong understanding of LLMs, embedding techniques (e.g., SBERT, FAISS), RAG architecture, prompt engineering, and model evaluation. Experience in text classification, summarization, topic modeling, named entity recognition, and intent detection. Experience deploying ML models in production and working with orchestration tools such as Airflow, MLflow. Comfortable working in cloud environments (Azure preferred) and with tools such as Docker, Kubernetes (AKS), and Git. Strong experience working with data science/ML libraries in Python (SciPy, NumPy, TensorFlow, SciKit-Learn, etc.) Strong experience working in cloud development environments (especially Azure, ADF, PySpark, DataBricks, SQL) Experience building data science models for use on front end, user facing applications, such as recommendation models Experience with REST APIs, JSON, streaming datasets Understanding of Graph data, Neo4j is a plus Strong understanding of RDBMS data structure, Azure Tables, Blob, and other data sources Understanding of Jenkins, CI/CD processes using Git, for cloud configs and standard code repositories such as ADF configs and Databricks Preferred Skills Bachelor's degree in engineering, computer science, statistics, mathematics, information systems, or a related field from an accredited college or university; Master's degree from an accredited college or university is preferred. Or equivalent work experience. Advanced knowledge of data science techniques, and experience building, maintaining, and documenting models Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases preferably Graph DB. Experience building and optimizing ADF and PySpark based data pipelines, architectures and data sets on Graph and Azure Datalake. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Strong project management and organizational skills. Experience supporting and working with cross-functional teams in a dynamic environment. Show more Show less

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? International Card Services (ICS) Risk & Control is looking for a Manager ICS Complaint Program Reporting and Insights with specific focus on establishing the Reporting and Business Insights workstream for Complaints Program in line with the requirements of AEMP71. It will involve extensive collaboration with multiple partners across Global Servicing Group, International markets and legal entities and ICS Control Management. The Manager – ICS Complaint Program - Reporting and Insights will: Lead and develop the ICS Complaints Reporting and Insights program Will establish the analytics, insights, and regulatory reporting for ICS Complaint’s Program Collaborate directly with senior leaders to help them understand complaints trends and how they can respond to them. Identify complaint themes leveraging data insights and referring them to ICS and LE leadership as appropriate Proactively analyze risk trends, undertake root-cause analysis, and provide consultative support to business and stakeholders. Ensure all regulatory requests are managed with 100% accuracy and timeliness. The Manager, Complaints Reporting and Insights will: Design, build and maintain dashboards and automated reports leveraging ICS Complaints data Analyze complaint data to help identify root cause, areas of concern and potential issues Compile thematic risk reporting (levels, trends, causes) to provide actionable and meaningful insights into business on current risk levels, emerging trends, and root causes Translate complex data into concise, impactful visualizations and presentations for decision making Proactively identify opportunities to improve data quality, reporting processes and analytical capabilities Utilize Natural Language Processing and generative AI tools to automate report generation, summarize data insights and improve data storytelling Collaborate with stakeholders to define KPIs, reporting needs and performance metrics Research and implement AI driven BI innovations to continuously enhance business insights and reporting best practices Required Qualifications: 5+ years of experience in Data Analytics, generating Business Insights or similar role Proficient analytical and problem-solving skills, with an ability to analyze data, identify trends, and evaluate risk scenarios effectively Hands-on experience with Python, R, Tableau Developer or Tableau Desktop Certified Professional, Power BI, Cornerstone, SQL, HIVE, Advance MS Excel (Macros, Pivots). Hands on experience with AI/ ML frameworks, NLP, Sentiment analysis and Text summarization etc. Strong analytical, critical thinking and problem-solving skills Ability to communicate complex findings clearly to both technical and non-technical audiences Preferred Qualifications: Bachelor’s degree in business, Risk Mgmt, Statistics, Computer Science, or related field; advanced degrees (e.g., MBA, MSc) or certifications are advantageous Experience in at least one of the following: Providing identification of operational risks throughout business processes and systems Enhancing risk assessments and associated methodologies Reviewing and creating thematic risk reporting to provide actionable insights into risk levels, emerging trends, and root causes Experience in the financial services industry Experience in Big Data, Data Science will be a definite advantage Familiarity with ERP systems or business process tools Knowledge of predictive analytics We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Show more Show less

Role – AIML Data Scientist Location : Coimbatore Mode of Interview - In Person Job Description Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch Experience in using Deep learning models with text, speech, image and video data Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV Knowledge of State of the art Deep learning algorithms Optimize and tune Deep Learnings model for best possible accuracy Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau Work with application teams, in deploying models on cloud as a service or on-prem Deployment of models in Test / Control framework for tracking Build CI/CD pipelines for ML model deployment Integrating AI&ML models with other applications using REST APIs and other connector technologies Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Technology/Subject Matter Expertise Sufficient expertise in machine learning, mathematical and statistical sciences Use of versioning & Collaborative tools like Git / Github Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming Develop prototype level ideas into a solution that can scale to industrial grade strength Ability to quantify & estimate the impact of ML models Softskills Profile Curiosity to think in fresh and unique ways with the intent of breaking new ground. Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control Ability to think ahead, and anticipate the needs for solving the problem will be important Ability to communicate key messages effectively, and articulate strong opinions in large forums Desirable Experience: Keen contributor to open source communities, and communities like Kaggle Ability to process Huge amount of Data using Pyspark/Hadoop Development & Application of Reinforcement Learning Knowledge of Optimization/Genetic Algorithms Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios Optimize and tune deep learning model for best possible accuracy Understanding of stream data processing, RPA, edge computing, AR/VR etc Appreciation of digital ethics, data privacy will be important Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus Show more Show less

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? We are looking for a Manager ICS Complaint Program Reporting and Insights with specific focus on establishing the Reporting and Business Insights workstream for Complaints Program in line with the requirements of AEMP71. It will involve extensive collaboration with multiple partners across Global Servicing Group, International markets and legal entities and ICS Control Management. The Manager – ICS Complaint Program - Reporting and Insights will: Lead and develop the ICS Complaints Reporting and Insights program Will establish the analytics, insights, and regulatory reporting for ICS Complaint’s Program Collaborate directly with senior leaders to help them understand complaints trends and how they can respond to them. Identify complaint themes leveraging data insights and referring them to ICS and LE leadership as appropriate Proactively analyze risk trends, undertake root-cause analysis, and provide consultative support to business and stakeholders. Ensure all regulatory requests are managed with 100% accuracy and timeliness. The Manager, Complaints Reporting and Insights will: Design, build and maintain dashboards and automated reports leveraging ICS Complaints data Analyze complaint data to help identify root cause, areas of concern and potential issues Compile thematic risk reporting (levels, trends, causes) to provide actionable and meaningful insights into business on current risk levels, emerging trends, and root causes Translate complex data into concise, impactful visualizations and presentations for decision making Proactively identify opportunities to improve data quality, reporting processes and analytical capabilities Utilize Natural Language Processing and generative AI tools to automate report generation, summarize data insights and improve data storytelling Collaborate with stakeholders to define KPIs, reporting needs and performance metrics Research and implement AI driven BI innovations to continuously enhance business insights and reporting best practices Required Qualifications: 8+ years of experience in Data Analytics, generating Business Insights or similar role Proficient analytical and problem-solving skills, with an ability to analyze data, identify trends, and evaluate risk scenarios effectively Hands-on experience with Python, R, Tableau Developer or Tableau Desktop Certified Professional, Power BI, Cornerstone, SQL, HIVE, Advance MS Excel (Macros, Pivots). Hands on experience with AI/ ML frameworks, NLP, Sentiment analysis and Text summarization etc. Strong analytical, critical thinking and problem-solving skills Ability to communicate complex findings clearly to both technical and non-technical audiences Preferred Qualifications: Bachelor’s degree in business, Risk Mgmt, Statistics, Computer Science, or related field; advanced degrees (e.g., MBA, MSc) or certifications are advantageous Experience in at least one of the following: Providing identification of operational risks throughout business processes and systems Enhancing risk assessments and associated methodologies Reviewing and creating thematic risk reporting to provide actionable insights into risk levels, emerging trends, and root causes Experience in the financial services industry Experience in Big Data, Data Science will be a definite advantage Familiarity with ERP systems or business process tools Knowledge of predictive analytics Show more Show less

TechStack :Cloud Technologies, Python, ML libraries, Prompt tuning and few-shot learning techniques, RAG, ReactJS, NodeJS etc What we are looking for As the Technology Analyst, you’ll leverage cutting-edge cloud-based solutions such as AWS and Azure. We are seeking an individual who not only possesses the requisite technical expertise but also thrives in the dynamic landscape of a fast-paced global firm. What you’ll do ▪ Collaborate with cross-functional teams and domain experts to design and build AI-powered solutions (e.g., GenAI chatbots, summarizers, recommendation engines) ▪ Work with LLMs, prompt engineering, and Retrieval Augmented Generation (RAG) frameworks ▪ Analyze data and extract meaningful insights using Python, SQL, and ML libraries ▪ Prototype, test, and fine-tune AI models for tasks like classification, entity extraction, and summarization ▪ Support end-to-end implementation from ideation to deployment while ensuring scalability and performance. Must have Bachelor's degree in engineering, preferably in CS, IT, or electronics with a record of academic excellence. Strong foundation in Python and hands-on experience with AI/ML concepts Familiarity with tools like Hugging Face, LangChain, OpenAI APIs, or similar is a plus Interest in applying AI to practical use cases (bonus if you’ve worked on GenAI projects or built a chatbot) Problem-solving mindset, strong communication skills, and eagerness to learn ▪ Ability to thrive in a fast-paced, collaborative environment

The candidate should have experience in AI Development including experience in developing, deploying, and optimizing AI and Generative AI solutions. The ideal candidate will have a strong technical background, hands-on experience with modern AI tools and platforms, and a proven ability to build innovative applications that leverage advanced AI techniques. You will work collaboratively with cross-functional teams to deliver AI-driven products and services that meet business needs and delight end-users. Job Duties and Responsibilities: Define and maintain project plans, schedule, requirements, document for product deliverables. Define project scope, deliverables, roles, and responsibilities in collaboration with Product Owner and stakeholders as per defined organization framework (XPMC) Follow agile methodology and maintain team dashboard (KANBAN) – Assign work to project team, track, and monitor team deliverables. Provide recommendations based on best practices and industry standards. Work closely with the team to ensure adherence to schedule timelines. Key Prerequisites Experience in AI and Generative AI Development Experience in Design, develop, and deploy AI models for various use cases, such as predictive analytics, recommendation systems, and natural language processing (NLP). Experience in Building and fine-tuning Generative AI models for applications like chatbots, text summarization, content generation, and image synthesis. Experience in implementation and optimization of large language models (LLMs) and transformer-based architectures (e.g., GPT, BERT). Experience in ingestion and cleaning of data Feature Engineering and Data Engineering Experience in Design and implementation of data pipelines for ingesting, processing, and storing large datasets. Experience in Model Training and Optimization Exposure to deep learning models and fine-tuning pre-trained models using frameworks like TensorFlow, PyTorch, or Hugging Face. Exposure to optimization of models for performance, scalability, and cost-efficiency on cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI). Hands-on experience in monitoring and improving model performance through retraining and evaluation metrics like accuracy, precision, and recall. AI Tools and Platform Expertise OpenAI, Hugging Face MLOps tools Generative AI-specific tools and libraries for innovative applications. Technical Skills Strong programming skills in Python (preferred) or other languages like Java, R, or Julia. Expertise in AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face. Proficiency in working with transformer-based models (e.g., GPT, BERT, T5, DALL-E). Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization tools (Docker, Kubernetes). Solid understanding of databases (SQL, NoSQL) and big data processing tools (Spark, Hadoop). Show more Show less

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span: ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling. ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking. DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection. RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output. Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data. Shape the Future of AI — On Your Terms At Welo Data, we’re reimagining how people and machines understand each other. As part of the Welocalize family, we partner with leading global companies to power inclusive, human-centered AI — built on high-quality language data. We’re building a global network of talented linguists, language enthusiasts, and culturally curious contributors ready to shape the next wave of technology through the power of language. This is your space to grow, learn, and connect on your schedule. Join Our Talent Community Whether you're a professional linguist or just passionate about how language and technology intersect, Welo Data welcomes you. By joining our talent pool, you’ll be first in line for future task-based projects in areas like annotation, evaluation, and prompt creation. When a suitable opportunity opens up, we’ll invite you to a short qualification process, which may include training, assessments, or onboarding steps depending on the project. Who We're Looking For: - Native or near-native fluency in Hindi (Romanized) - Proficient in English (written and spoken) - Comfortable using digital tools and working remotely - Naturally detail-oriented, curious, and eager to learn - Open to working on a wide variety of language-focused tasks Why Choose Welo Data? - Limitless You – Work on your terms. Whether you're just starting out or deepening your expertise, Welo Data gives you the flexibility to grow your skills, explore new projects, and balance life on your own schedule. - Limitless AI – Be part of the technology revolution. Your contributions will help train and improve AI systems that touch millions of lives, making them more inclusive, intelligent, and human-centered. - Be Part of Us – Join a vibrant, global community of language lovers, technologists, and creatives working together to shape a more connected world. - Opportunity – Be the first to access projects that match your skills and availability. If you're passionate about language, technology, and shaping the future of AI, we want to hear from you. Apply now by answering a few quick questions to join our community. 📬 Got questions? Reach out to us at JobPosting@welocalize.com Show more Show less

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations be future ready. We offer accelerated, global growth opportunities for talent that’s bold, industrious and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship, and is guided by passion, innovation, collaboration and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com Looking to jump-start your career? We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast track career where you can grow along with Indegene’s high-speed growth. We are purpose-driven. We enable healthcare organizations be future ready and our customer obsession is our driving force . We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work. If this excites you, then apply below. Roles and responsibilities: Responsible for authoring Clinical Evaluation Reports (CER), Clinical Evaluation Plans (CEP), Post-Market Surveillance Reports (PMSR), Periodic Safety Update Reports (PSUR), Annual Summary Reports (ASR), Post-Market Clinical Follow-up Plans and Evaluation Reports(PMCFP/PMCFER) Acquire knowledge of therapeutic areas, competitor devices, current clinical/market developments, literature review processes and the ability to keep abreast of current literature Develop literature search and data extraction strategy for search, screening, and summarization of articles, and develop in-depth knowledge and understanding of current scientific literature Participate in and/or perform comprehensive literature searches to support identified product lines and related clinical studies Stay informed about applicable clinical landscapes and trends Review literature search results and interpret and summarize risks, alternate therapies and device specific benefits; collect and summarize primary data to support risk assessment Critically appraise scientific literature and write clinical summaries for products literature to elucidate the clinical problem and current treatment techniques Evaluate data for similar competitor devices Perform data fact check of the documents authored Collaborate with the project/program stakeholders for product information to develop quality content for CERs, within the required timelines Manage assigned client account and ensure successful on time delivery of all deliverables as listed in the SoW Responsible for end to end technical execution of the project Work with PMO to ensure resources with the right skill set are assigned to the project Work with PMO for resource allocation and end-to-end project plan Act as client point of contact for day-to-day communication and project execution Guiding writers on end-to-end execution of the assigned deliverable Day-to-day communication with primary and supporting writer for project execution Review queries for project Kick-off meetings and status update calls Review assets tracker Guiding team members in product understanding, gathering inputs, literature search strategy and systematic literature review, literature screening and data extraction Working as subject matter expert for reviewing, revising and improving the quality of scientific content and content created by primary writers Skills: Experience in leading a team Experience in creating process flows, SOPs, Templates Good understanding of medical devices and an overall understanding of the medical field In-depth knowledge of EU MDR, MEDDEV 2.7.1 Rev 4, IMDRF and MDCG; translate the client requirements and apply in drafting of CE documents Good knowledge on EU MDR specifics related to Clinical Evaluation, Clinical risks and Benefits, Safety and Performance etc Strong flair and passion for technical writing Strong written and verbal communication/presentation skills Being up-to-date with the latest technical/scientific developments and relating them to various projects Ability to understand client requirements and KPIs Qualifications: Graduate or Post Graduate in Life Sciences (Pharm.D/M.Pharm/BDS/MBBS) or Bio Medical Engineering with 5 to 7 years experience 4+ experience in med device clinical affairs domain Sound experience in the application of therapeutic and device knowledge for development of clinical evaluation documents Ability to identify critical information needs and identify roles / individuals to involve for decision making within clinical evaluation assessment and report development. Strong experience in conducting literature searches, reviews and appraisal of the scientific data Clear and effective communication, both verbal and written Excellent critical and analytical thinking skills Review experience in clinical evaluation (CEP/CER/SSCP) and post-market deliverables (PMSR/PSUR/PMCFP/PMCFER), IVDRs (PEP/PER) High level of attention to detail and accuracy Able to work effectively withcross-functional teams Able to manage multiple projects across numerousdisciplines. Strong communication, presentation and interpersonal skills with high attention to detail and organization Consistent dedication and strong work-ethic to help meet aggressive timelines or multiple projects when necessary People management, with ability to manage a team of 3-5 writers EQUAL OPPORTUNITY Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, candidate’s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics. Show more Show less

Job Overview: We are seeking a talented and motivated AI Engineer with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies. As part of our dynamic team, you will develop, implement, and optimize cutting-edge AI solutions to improve our products and services. Your work will focus on leveraging language models, building NLP systems, and integrating speech-to-text technologies for seamless communication and enhanced user experiences. Location: Hyderabad (5 Days work from office) Working Days: Sunday- Thursday Timings: 10 AM-6 PM Key Responsibilities: LLM Development & Integration: Fine-tune and deploy large language models for specific applications, such as chatbots, content generation, and customer support Evaluate and improve the performance of LLMs in real-world scenarios NLP System Design: Design and implement NLP algorithms for tasks like text classification, sentiment analysis, entity recognition, and summarization Work with large datasets to train and validate NLP models Collaborate with cross-functional teams to identify and address language-based challenges Speech-to-Text Implementation: Develop and optimize speech-to-text pipelines for various languages and dialects Integrate speech recognition systems with NLP and LLM solutions for end-to-end functionality Stay updated on the latest advancements in automatic speech recognition (ASR) Performance Optimization: Enhance AI model efficiency for scalability and real-time processing Address biases, improve accuracy, and ensure robustness in all models Research and Innovation: Stay abreast of the latest research in LLM, NLP, and speech technologies Experiment with emerging techniques and integrate them into company solutions Documentation and Collaboration: Maintain comprehensive documentation for models, processes, and systems Collaborate with product managers, software engineers, and other stakeholders Requirements Qualifications: Minimum 8+ years of experience required Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field Proven experience in LLM development (e.g., OpenAI, GPT, or similar frameworks) Strong understanding of NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face) Hands-on experience with speech-to-text systems like Google Speech API, Whisper, or similar technologies Proficiency in programming languages such as Python, along with frameworks like TensorFlow or PyTorch Strong problem-solving skills, a collaborative mindset, and the ability to manage multiple projects simultaneously Show more Show less

Summary of Position Teladoc Health’s Internal Audit function provides independent, objective assurance and consulting services designed to add value and improve Teladoc’s operations. The IT Audit Manager assists Internal Audit senior management, Board of Directors, and company senior management in the effective discharge of their responsibilities by bringing a systematic, disciplined approach to evaluate and improve the effectiveness of internal controls, risk management, and governance processes. Further, the Senior IT Auditor will assist and lead internal audit projects with a focus on the examination and analysis of IT processes, risks and internal controls supporting the digital, financial, operational, compliance, and strategic aspects of the company. Shift time - 05:00 PM IST - 02:00 AM IST 100% Remote work Essential Duties and Responsibilities Develop internal audit methodologies and contribute to the annual internal audit plan. Plan, organize, and conduct internal audit projects in alignment with the annual plan or as requested by management or the Audit Committee. Support activities related to the company's assessment of Internal Controls Over Financial Reporting (ICFR), including conducting IT process walkthroughs, testing, and summarization of results to support our Sarbanes Oxley (SOX) program. This is an individual contributor role that will lead SOX testing program areas such as scoping, scheduling, stakeholder management, workpaper review, etc. Ensure that documentation supporting audit testing is sufficient, competent, and relevant to support conclusions. Prepare high-quality internal audit workpapers and reports to accurately reflect audit work performed. Identify and monitor internal control gaps or outstanding issues within IT procedures, processes, or systems, ensuring appropriate remedial action. Collaborate with process and control owners and external audit personnel throughout the audit lifecycle. Educate and advise process and control owners on internal control requirements and promote awareness of internal audit within the organization. Stay updated on business and IT activities, accounting standards, and industry developments. Communicate business insights, impacts, and actionable recommendations to management. Work with internal audit leadership to identify current and emerging risks facing the organization. Identify opportunities to promote efficiencies using data analytics and automation. Assist in departmental projects, strategic initiatives, and investigations as needed. The time spent on each responsibility reflects an estimate and is subject to change dependent on business needs. Supervisory Responsibilities No Qualifications Expected for Position Minimum of 5+ years of IT Audit experience in public accounting and/or internal audit, preferably with a publicly traded company and experienced in SOX testing. Bachelor's degree in Accounting, Finance, Information Systems, Computer Science, or a related field; a Master's degree is a plus. Fundamental understanding of core Information Technology processes and systems. Knowledge of internal control concepts and frameworks (COSO, COBIT), Sarbanes-Oxley standards, and auditing processes. Extensive experience auditing Sarbanes Oxley (SOX) IT General Controls and (ITGC) IT Automated Controls (ITAC), including testing the completeness and accuracy (C&A) of key reports supporting business processes. Experience with testing various systems and technologies, such as ERP systems, cloud technologies, and other enterprise applications. Strong interpersonal, analytical, communication, and organizational skills (written and verbal). Ability to work independently with limited supervision. Strong work ethic, self-accountability, and high standards of ethical conduct. Experience coaching and mentoring junior team members. The above qualifications, knowledge, experience, and/or background are expected but not required for this role. Show more Show less

As an AI Product Manager, you will oversee project delivery to ensure high quality and client satisfaction, manage client relationships, and lead high-performing teams. Tech Skills - Intermediate to advance knowledge in - AI systems, Integration of AI systems with workflows Gen AI technologies (Information retrieval, Summarization, Orchestration) and Agentic AI platforms Full-stack product design Project management methodologies and tools Probability and Statistics Practical Machine Learning, including key pitfalls and approaches to address them Deep Learning algorithms SQL and Python MS Office applications – Excel and PowerPoint Non-Tech Skills - Strong business acumen with an ability to assess financial impact of decisions – both in the operations of running the delivery team and in the context of delivering solutions to clients Ability to recognize pragmatic alternatives vis-à-vis a perfect solution and get the delivery teams on-board to pursue them, balancing priorities of time with potential business impact Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation Leadership and mentorship to the delivery team Ability to storyboard presentations effectively and hold conversations with senior executives in client businesses Self-driven with a strong sense of ownership Solution proposals, collaborating with growth, customer success and central solutioning functions Ability to hold conversations with senior and C-suite level executives in client businesses Show more Show less

Verification of tax invoice with the supporting provided by the client Analyze Sales MIS and provide summarized information regarding – sales done in the reporting period, trend analysis (volume & price achieved), registrations done, amount collected, etc. Comment on the pricing achieved (including breakup between base price and additional charges) – highlight cases where the transaction price is an outlier Review sales cancellation data and comment on the same (based on discussions with the Developer’s representative) Review of Booking & Allotment letters issuance, Registrations status of sold units Review of Cash flow for the project during the review period. Provide a summarized cash flow statement of the project – from the date of monitoring by consultant as well as for the reporting period (data to be provided by the Developer and consultant to review the same) Compare and trace Sales MIS figures (collections) with the books of accounts and bank statements – highlight & comment on variances observed. Audit of the account statements of each of the Accounts to validate the collections received. Conducted continuous monitoring and reporting of Sales, CRM, and Project outflow activities. Monitor collection from customers in non-escrow accounts. Conduct monthly reviews and reporting on sales and inflows as well as outflows for brokerage costs, marketing costs, and tenant payments Skills: finance,mis reporting,cash flow analysis,booking & allotment letter review,financial reporting,real estate advisory – technical & regulatory due diligence and monitoring,financial analysis,sales trend analysis,variance analysis,crm monitoring,cash flow management,customer collection monitoring,pricing analysis,financial due diligence,financial auditing,data summarization,sales cancellation review,tax invoice verification,cash flow review,sales analysis,finance closure,asset management,continuous monitoring and reporting,project audit,sales mis analysis,project monitoring,bank statements,trend analysis Show more Show less

Primary Responsibilities: Design and develop AI-driven web applications using Streamlit and LangChain. Implement multi-agent workflows with LangGraph. Integrate Claude 3 (via AWS Bedrock) into intelligent systems for document and image processing. Work with FAISS for vector search and similarity matching. Develop document integration solutions for PDF, DOCX, XLSX, PPTX, and image-based formats. Implement OCR and summarization features using EasyOCR, PyMuPDF, and AI models. Create features such as spell-check, chatbot accuracy tracking, and automatic re-training pipelines. Build secure apps with SSO authentication, transcript downloads, and reference link generation. Integrate external platforms like Confluence, SharePoint, ServiceNow, Veeva Vault, Outlook, G.Net/G.Share, and JIRA. Collaborate on architecture, performance optimization, and deployment. Required Skills: Strong expertise in Streamlit, LangChain, LangGraph, and Claude 3 (AWS Bedrock). Hands-on experience with boto3, FAISS, EasyOCR, and PyMuPDF. Advanced skills in document parsing and image/video-to-text summarization. Proficient in modular architecture design and real-time AI response systems. Experience in enterprise integration with tools like ServiceNow, Confluence, Outlook, and JIRA. Familiar with chatbot monitoring and retraining strategies. Secondary Skills: Working knowledge of PostgreSQL, JSON, and file I/O with Python libraries like os, io, time, datetime, and typing. Experience with dataclasses and numpy for efficient data handling and numerical process About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.