895 Summarization Jobs - Page 6

Responsibilities: Design, implement, and optimize LLM pipelines for NLP tasks such as summarization, classification, and entity recognition. Build and deploy AI models to production with scalable, testable code. Develop and fine-tune models using domain-specific datasets, integrating them into live systems. Create retrieval-augmented systems using vector stores and embeddings for contextual Q&A. Support ASR-based NLP systems with diarization, tagging, and post-processing. Work closely with senior leadership to ensure technical alignment with product goals. Contribute to AI/ML best practices and help standardize development workflows across teams. Primary Skills (Must have): Strong Python development with OOP principles and ML/AI best practices. Expertise in machine learning, deep learning, and NLP using libraries like scikit-learn, PyTorch, TensorFlow. Practical experience with LLM fine-tuning, LoRA, PEFT, and embedding-based models. Experience building RAG pipelines for question-answering, search, and knowledge summarization. Hands-on with vector stores (FAISS, Pinecone, ChromaDB), transformers, and Hugging Face models. Experience deploying models via FastAPI, Flask, and Docker. Good knowledge of speech-to-text tools like Whisper and AWS/GCP STT for transcription. Familiarity with prompt engineering, LangChain, and retriever models. Experience with cloud ML platforms (AWS, Azure, GCP) for model training and inference. Exposure to MLOps practices like versioning, monitoring, and automated retraining. Secondary Skills Domain knowledge in financial services, market places, healthcare, pharma and life sciences NLP use cases. Experience with knowledge graphs, graph neural networks, and embeddings-based reasoning. Understanding of privacy-preserving ML (e.g., differential privacy, federated learning). Exposure to LangChain, LlamaIndex, Haystack, or other GenAI orchestration tools.

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager PURPOSE OF ROLE Understand and solve complex business problems with sound analytical prowess and help business with impactful insights in decision making Ensure any roadblocks in implementation is brought to the notice of Analytics Manager so that project timelines do not get affected Document every aspect of the project in standard way, for future purposes Articulate technical complexities to the senior leadership in a simple and easy manner KEY TASKS AND ACCOUNTABILITIES Understand the business problem and work with business stakeholders to translate that to a data-driven analytical/statistical problem; participate in the solution building process Create appropriate datasets and develop statistical data models Translate complex statistical analysis over large datasets into insights and actions Analyze results and present to stakeholders Communicate the insights using business-friendly presentations Help and mentor other Data Scientists/Associate Data Scientists Build a pipeline of the project in Databricks which is production ready Build dashboards (preferably in Power BI) for easy consumption of the solutions QUALIFICATIONS, EXPERIENCE, SKILLS Level Of Educational Attainment Required Bachelor’s/Master’s Degree in Statistics, Applied Statistics, Economics, Econometrics, Operations Research or any other quantitative discipline. Previous Work Experience Minimum 4-6 years’ experience in data science role in building, implementing & operationalizing end-to-end solutions Expertise strongly desired in building statistical and machine learning models for classification, regression, forecasting, anomaly detection, dimensionality reduction, clustering etc. Exposure to optimization and simulation techniques (good to have) Expertise in building NLP based language models, sentiment analysis, text summarization and Named Entity Recognition Proven skills in translating statistics into insights. Sound knowledge in statistical inference and hypothesis testing Microsoft Office (mandatory) Expert in Python (mandatory) Advanced Excel (mandatory) And above all of this, an undying love for beer! We dream big to create future with more cheers

Movies & Show Summaries Required Skills: Strong summarization and writing skills Experience with Film/TV industries (regional & global) Genre and narrative understanding, content critique Ideal Backgrounds: Film critics, entertainment journalists, screenwriters, editors

As a Data Scientist you will: • Build intelligent, end-to-end data pipelines that utilize large language models (LLMs) for document generation, summarization, reasoning, and automating tasks. • Design and develop autonomous workflows where AI agents interact with tools, APIs, memory, and other agents to accomplish complex, multi-step objectives. • Apply prompt engineering, retrieval-augmented generation (RAG), and planning techniques to enable contextual reasoning and decision-making in LLM-powered systems. • Analyze legacy systems such as rule-based engines, stored procedures, and monolithic applications, and convert them into modular, AI-native components that work with structured and unstructured data. • Fine-tune foundation models or adapt them using low-rank adaptation (LoRA), transfer learning, or domain-specific techniques for enhanced task performance. Skills Required : 5+ years of experience in AI/ML development, with a strong emphasis on LLM integration and intelligent system design. Proven experience in designing, developing and deploying real-world LLM-based applications and agentic systems. Expert-level knowledge of Python for building and orchestrating machine learning and AI applications, with a focus on LLM-based development. Proficiency in prompt engineering, chaining logic, context window management, and invoking tools (e.g., APIs, functions) within LLM applications. Understanding of agent patterns involving memory, planning, multi-agent coordination, and decision-making frameworks. Experience with vector databases, embedding generation, and retrieval-augmented generation (RAG) for knowledge-based AI systems. Hands-on experience deploying and managing AI services in cloud platforms, preferably Microsoft Azure.

AI DEVELOPER LLM Can Work Description RMgX is a Gurgaon based digital product innovation & consulting firm. Here at RMgX, we design and build elegant, data-driven digital solutions for complex business problems. At the core of solutions crafted by us is a very strong user experience practice to deeply understand the goals and emotions of business and end-users. RMgX is driven by a passion for quality and we strongly believe in our people and their Description : Duties And Responsibilities Design, develop, and deploy AI solutions using Large Language Models (LLMs) such as GPT, LLaMA, Claude, or Mistral. Fine-tune and customize pre-trained LLMs for business-specific use cases. Build and maintain NLP pipelines for classification, summarization, semantic search, etc. Build and maintain vector database pipelines using Milvus, Pinecone, etc. Collaborate with cross-functional teams to integrate LLM-based features into applications. Analyze and improve model performance using appropriate metrics. Stay up-to-date with AI/ML research and integrate new techniques as EXPERIENCE : 12 years of experience in AI/ML development with specific focus on NLP and LLM-based ABILITIES & KNOWLEDGE : Strong hands-on experience in Python and AI/ML libraries (HuggingFace Transformers, LangChain, PyTorch, TensorFlow, etc.) Proficiency in working with closed-source models via APIs (e.g., OpenAI, Gemini) Understanding of prompt engineering, embeddings, and vector databases like FAISS, Milvus or Pinecone. Experience in deploying models using REST APIs, Docker, and cloud platforms (AWS/GCP/Azure) Familiarity with MLOps and version control tools (Git, MLflow, etc.) Knowledge of LLMOps platforms such as LangSmith, Weights & Biases is a plus Strong problem-solving skills, a keen eye for detail, and ability to work in an agile : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related Information : Perks And Benefits Flexible working hours Saturday and Sundays are fixed off Health Insurance and Personal Accident Insurance BYOD (Bring Your Own Device) Benefit Laptop Buyback Scheme (ref:hirist.tech)

AI DEVELOPER LLM SPECIALIST Full-time Company Description RMgX is a Gurgaon based digital product innovation & consulting firm. Here at RMgX, we design and build elegant, data-driven digital solutions for complex business problems. At the core of solutions crafted by us is a very strong user experience practice to deeply understand the goals and emotions of business and end-users. RMgX is driven by a passion for quality and we strongly believe in our people and their capabilities. For more details visit https://www.rmgx.in/ Duties And Responsibilities Design, develop, and deploy AI solutions using Large Language Models (LLMs) such as GPT, LLaMA, Claude, or Mistral. Fine-tune and customize pre-trained LLMs for business-specific use cases. Build and maintain NLP pipelines for classification, summarization, semantic search, etc. Build and maintain vector database pipelines using Milvus, Pinecone, etc. Collaborate with cross-functional teams to integrate LLM-based features into applications. Analyze and improve model performance using appropriate metrics. Stay up-to-date with AI/ML research and integrate new techniques as appropriate. WORK EXPERIENCE 12 years of experience in AI/ML development with specific focus on NLP and LLM-based applications. Skills, Abilities & Knowledge Strong hands-on experience in Python and AI/ML libraries (HuggingFace Transformers, LangChain, PyTorch, TensorFlow, etc.) Proficiency in working with closed-source models via APIs (e.g., OpenAI, Gemini) Understanding of prompt engineering, embeddings, and vector databases like FAISS, Milvus or Pinecone. Experience in deploying models using REST APIs, Docker, and cloud platforms (AWS/GCP/Azure) Familiarity with MLOps and version control tools (Git, MLflow, etc.) Knowledge of LLMOps platforms such as LangSmith, Weights & Biases is a plus Strong problem-solving skills, a keen eye for detail, and ability to work in an agile setup. Qualifications Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Additional Information Perks And Benefits Flexible working hours Saturday and Sundays are fixed off Health Insurance and Personal Accident Insurance BYOD (Bring Your Own Device) Benefit Laptop Buyback Scheme

About Evernorth Evernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits 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. Role Title: Machine Learning Analyst Position Summary We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. 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 AI Prompt Engineers with strong engineering, full stack expertise to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions. 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. 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. 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 Overall 1-3 years of experience 1+ 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 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 with information storage/retrieval using vector databases like pinecone. Strong understanding and exposure in natural language generation or Gen AI like transformers, LLM’s, text embedding’s. 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. 1+ years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. Programming experience in C / C++, Java, Python. Strong knowledge of data structures, algorithms, and software engineering principles. 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. Experience Desired Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. Hands on experience on tools / products like Dynatrace, Splunk, Service Now preferred. Experience in identifying KPI on solution build using Generative AI, for Ex – RAG based Q&A, data summarization, text content generation, data extraction, etc. will be a big advantage. Understanding of standards and regulation related to use of GenAI for a US based Health Insurance provider preferred. Healthcare experience (preferred but not mandate) Education And Training Required Degree in Computer Science, Artificial Intelligence, or a related field. Location & Hours of Work: Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate. Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required. Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. 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.

Are you passionate about building intelligent systems that enhance productivity in Office applications? Do you have a strong foundation in machine learning, natural language processing (NLP), and software engineering? Join our team of Applied Scientists and engineers working at the forefront of generative AI to shape the future of productivity tools. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Applied Research & Development: Contribute to the design and implementation of machine learning models and algorithms for search, summarization, and content understanding in Office applications. Model Development: Build and fine-tune ML/DL models using frameworks like PyTorch or TensorFlow. Collaborate on deploying models in production environments with a focus on scalability and performance. Cross-Functional Collaboration: Work closely with engineering, product, and research teams to translate business needs into technical solutions and deliver impactful features. Experimentation & Evaluation: Conduct experiments, analyze results, and iterate on solutions to improve precision, recall, and user satisfaction. Innovation: Stay current with research trends in generative AI and NLP. Explore new signals, data sources, and modeling techniques to evolve intelligent systems and contribute to the Copilot ecosystem. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. Minimun 1 year of industry experience in applied machine learning or data science roles. Proficiency in Python Experience developing and evaluating generative AI models. Familiarity with NLP techniques and content understanding. Strong verbal and written communication skills to explain complex technical concepts to diverse audiences. Ability to tackle open-ended problems and deliver practical, scalable solutions. Preferred Qualifications Proficiency in ML libraries such as PyTorch or TensorFlow. Experience deploying ML models in production environments. Exposure to full product lifecycle from prototyping to deployment and iteration. Contributions to research publications, patents, or open-source projects. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Position Overview We are seeking a meticulous Legal Operations Intern to handle day-to-day legal operations including NDA management, contract review, document abstraction, and redlining support for ongoing projects. Key Responsibilities Review, negotiate, and manage Non-Disclosure Agreements (NDAs) Perform contract abstraction and create executive summaries Provide redlining support for various legal documents and agreements Summarize complex legal documents for internal stakeholders Assist in contract lifecycle management Support ongoing projects with legal documentation review Maintain contract databases and tracking systems Coordinate with internal teams on legal requirements for projects Required Qualifications Currently pursuing LLB or LLM degree (2nd year onwards preferred) Strong contract review and negotiation skills Experience with redlining and document markup Excellent summarization and abstraction abilities Proficiency in legal document management systems Knowledge of commercial contracts and corporate law Attention to detail and ability to work under tight deadlines Proficiency in MS Office Suite and PDF editing tools

We are looking for a Senior Data Scientist with a strong foundation in machine learning, data analysis, and a growing expertise in LLMs and Gen AI. The ideal candidate will be passionate about uncovering insights from data, proposing impactful use cases, and building intelligent solutions that drive business value. Key Responsibilities: - Analyze structured and unstructured data to identify trends, patterns, and opportunities. - Propose and validate AI/ML use cases based on business data and stakeholder needs. - Build, evaluate, and deploy machine learning models for classification, regression, clustering, etc. - Work with LLMs and GenAI tools to prototype and integrate intelligent solutions (e.g., chatbots, summarization, content generation). - Collaborate with data engineers, product managers, and business teams to deliver end-to-end solutions. - Ensure data quality, model interpretability, and ethical AI practices. - Document experiments, share findings, and contribute to knowledge sharing within the team Required Skills & Qualifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. - 3–4 years of hands-on experience in data science and machine learning. - Proficient in Python and ML libraries - Experience with data wrangling, feature engineering, and model evaluation. -Exposure to LLMs and GenAI tools (e.g., Hugging Face, LangChain, OpenAI APIs). - Familiarity with cloud platforms (AWS, GCP, or Azure) and version control (Git). - Strong communication and storytelling skills with a data-driven mindset. Note: Final Discussion Round will be F2F Job Type: Full-time Pay: ₹944,773.51 - ₹2,340,222.09 per year Work Location: In person

Applied Scientist – Computational Vision (Vision LLMs & Video Intelligence) Company Overview: Accrete AI is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology. At the core of our offerings are AI agents—autonomous systems that analyze multimodal data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and empower government entities to enhance security, intelligence, and operational efficiency. Job Description: We are seeking a highly-motivated and innovative Applied Scientist to join our research team in Mumbai, India to drive cutting-edge research and development. In this role, you will spearhead the development of intelligent computer vision solutions leveraging real-time video data, vision language models (VLLMSs), and advanced architectures. Your work will focus on solving complex real-world problems using multimodal learning, video understanding, self-supervised techniques, and LLM-enhanced vision models. You will have the opportunity to work at the intersection of vision, language, and reasoning, driving research and innovation from ideation through deployment. Key Responsibilities: Research and build state-of-the-art computer vision systems with a focus on real-time video analytics, video summarization, object tracking, and activity recognition. Develop and apply Vision-Language Models (VLMs) and multimodal transformer architectures for deep semantic understanding of visual content. Apply self-supervised, zero-shot, and few-shot learning techniques to enhance model generalization across varied video domains. Explore and optimize LLM prompting strategies and cross-modal alignment methods for improved reasoning over vision data. Contribute to research publications, patents, and internal IP assets in the area of vision and multimodal AI. Required Qualifications: Masters in Computer Science, Computer Vision, Machine Learning, or a related discipline with 2+ years of experience leading applied research or product-focused CV/ML projects. Expertise in modern computer vision architectures (e.g., ViT, SAM, CLIP, BLIP, DETR, or similar). Experience with Vision-Language Models (VLMs) and multimodal AI systems. Strong background in real-time video analysis, including event detection, motion analysis, and temporal reasoning. Experience with transformer-based architectures, multimodal embeddings, and LLM-vision integrations. Proficiency in Python and deep learning libraries like PyTorch or TensorFlow, OpenCV Experience with cloud platforms (AWS, Azure) and deployment frameworks (ONNX, TensorRT) is a plus. Strong problem-solving skills, with a track record of end-to-end ownership of applied ML/CV projects. Excellent communication and collaboration skills, with the ability to work in cross-functional teams. Why Join Us: Innovative Environment: Be part of a team that's at the forefront of technological innovation, utilizing GenAI and ML to create groundbreaking solutions. Collaborative Culture: Work in a collaborative environment where your ideas are valued, and you have the opportunity to make a real impact. We provide a flexible work environment. Professional Growth: We're committed to your professional growth and development, offering opportunities for learning and advancement. Competitive Compensation: Enjoy a competitive compensation and benefits package, including medical insurance. We offer a competitive salary, benefits package, and opportunities for growth and advancement within the company. If you are an innovative and results-driven leader, we encourage you to apply for this exciting opportunity. Accrete is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

We are seeking a highly skilled Azure Data Architect for our client, a leading consulting firm in India. The ideal candidate will have a proven track record in overseeing multiple data warehouse and data lake implementations, possess a deep understanding of data modeling, and be well-versed in driving digital transformation initiatives. Key Skills: Azure Data Engineering, ADF, Databricks, Data Modeling To apply for this position, it is mandatory to register on our platform at www.curataid.com and give 10 minutes technical quiz on Azure Data Engineering/Azure Databricks skill to speed up the shortlisting process. Key Responsibilities Design and implement data architecture solutions aligned with business goals. Develop and maintain data models, dictionaries, and flow diagrams to ensure clarity and governance. Collaborate with business stakeholders to gather requirements and provide technical clarifications. Drive data ingestion, transformation, and summarization pipelines using modern tools and frameworks. Ensure robust data management practices across SQL, NoSQL, and Hadoop ecosystems. Lead data integration and ETL processes for seamless data flow across systems. Build and optimize solutions using Azure Data Services (ADLS, ADF, Synapse). Implement Databricks-based medallion architecture and manage data with Unity Catalog for secure governance. Required Skills & Experience 8+ years of experience in data engineering/architecture. Proven experience as a Data Architect or similar role. Strong expertise in data warehousing, data modeling, and ETL design. Hands-on experience with Azure data engineering tools and Databricks. Deep knowledge of SQL, NoSQL, Hadoop, and modern data lakehouse concepts. Excellent collaboration and communication skills. **Unfortunately, due to high volume of applicants, not everybody will receive a response About Us CuratAId is a hiring platform for the tech industry in India, providing pre-vetted candidates to recruiters. Our expert interviewers screen candidates based on their primary and secondary technical skills, as well as communication and behavioral traits, to provide recruiters with high-quality, qualified candidates. As a tech hiring platform, our goal is to simplify and streamline the recruitment process for both recruiters and job seekers.

Unlock yourself. Take your career to the next level. At Atrium, we live and deliver at the intersection of industry strategy, intelligent platforms, and data science — empowering our customers to maximize the power of their data to solve their most complex challenges. We have a unique understanding of the role data plays in the world today and serve as market leaders in intelligent solutions. Our data-driven, industry-specific approach to business transformation for our customers places us uniquely in the market. Who are you? You are smart, collaborative and take ownership to get things done. You love to learn and are intellectually curious in business and technology tools, platforms and languages. You are energized by solving complex problems and bored when you don’t have something to do. You love working in teams, and are passionate about pulling your weight to make sure the team succeeds. What will you be doing at Atrium? We are seeking a highly skilled AI QA Consultant to ensure the quality, functionality, and performance of our AI solutions. This role is responsible for testing across the Salesforce platform with a specialised focus on validating AI-powered features, agentic workflows, and integrations with Large Language Models (LLMs). This position bridges traditional Salesforce QA with modern AI testing principles, requiring a deep understanding of Salesforce best practices, a keen eye for detail, and the technical acumen to test complex, non-deterministic systems. You will work closely with AI developers, Salesforce administrators, and business stakeholders to deliver robust and reliable AI-driven user experiences. The QA Consultant Will Conduct thorough manual and exploratory testing of AI features on the Salesforce platform. You will identify, document, and track defects in Jira, clearly distinguishing between standard configuration bugs and nuanced, probabilistic issues inherent in AI model outputs Take ownership of data quality for the entire AI fine-tuning lifecycle. You will be responsible for validating and helping prepare the high-quality, unbiased datasets that are essential for building reliable and effective enterprise AI Develop detailed test plans, test cases, and test scripts specifically designed to evaluate the accuracy, relevance, safety, and performance of LLM responses and AI-driven logic Collaborate with product owners and AI developers to understand requirements and design comprehensive test strategies for Salesforce solutions that incorporate AI components like intelligent chatbots, RAG-based knowledge retrieval, automated case summarization, and agentic process automation Create scenarios to test for prompt injection vulnerabilities, model hallucinations, data grounding issues, and bias in AI outputs Assess the performance, latency, and resource consumption of AI features to ensure they meet user experience benchmarks Facilitate User Acceptance Testing (UAT) for AI-powered features. Guides business users on how to evaluate and provide feedback on intelligent systems Stay updated with the latest advancements in LLMs, prompt engineering techniques, and AI testing methodologies, and champion the adoption of best practices In This Role, You Will Have Strong foundation with 2-3 years of dedicated QA experience on the Salesforce platform. It is crucial for validating how AI features interact with core Salesforce objects, data models, and business workflows A solid understanding of modern AI/NLP concepts, including Retrieval-Augmented Generation (RAG), model fine-tuning, and the principles of creating feedback loops for reinforcement learning (e.g., RLHF) Proficiency in Python, used for writing test scripts, data manipulation, and interacting with AI APIs Hands-on experience testing applications built with LLM APIs (like OpenAI, Gemini), frameworks such as LangChain/LlamaIndex, and various Vector Databases Working knowledge of SQL, NoSQL, and vector databases Excellent analytical and communication skills, with experience thriving in an Agile/Scrum environment Next Steps Our recruitment process is highly personalized. Some candidates complete the hiring process in one week, others may take longer as it’s important we find the right position for you. It's all about timing and can be a journey as we continue to learn about one another. We want to get to know you and encourage you to be selective - after all, deciding to join a company is a big decision! At Atrium, we believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. We are an equal opportunity employer and all qualified applicants will receive consideration for employment.

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence, and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview* Document, Content & Record Services Technology (DCRS) is an enterprise-wide capability, managing documents, e-signature transactions, and the creation, storage and fulfillment of billions of letters and statements annually. DCRS capabilities are at the forefront of the digital evolution as they drive significant reduction in paper and manual processes. Job Description* 7+ years as Data Scientist or related roles Deep understanding and some exposure to new Gen AI Open-source Models At least 5 years programming experience in software development and Agile process At least 5 years Python (or equivalent) programming experience to work with ML/NLP models. We’re looking for a Python Developer who can be responsible for designing, building, and maintaining document capture applications. The ideal candidate will have a solid background in software engineering with experience in building Machine Learning & NLP Models and good familiarity with Gen AI Models. Responsibilities* Building Machine Learning & NLP Models and knowledge to new Gen AI Open-source Models. Requirements* Experience in setting up supervised & unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization. Experience in ML/NLP development pipelines of large data sets, both structured & unstructured. At least 2 years’ experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing Knowledge and hands-on experience working with OCR products. Education* Bachelor’s /master’s degree in computer science/data science, or a related technical field. Certifications If Any: NA Experience Range* 06 Years To 12 Years. Foundational Skills* Good experience as Data Scientist or related roles. Deep understanding and some exposure to new Gen AI Open-source Models. At least 5 years programming experience in software development and Agile process. At least 5 years Python (or equivalent) programming experience to work with ML/NLP models. Experience in setting up supervised & unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization. Experience in ML/NLP development pipelines of large data sets, both structured & unstructured. At least 2 years’ experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing Knowledge and hands-on experience working with OCR products. Desired Skills* Collaborating with a diverse set of partners and stakeholders from various Line of Business. Highly motivated, proactive and a self-starter; strong sense of ownership & ability to create and execute plans without daily oversight. Critical thinker: ability to analyze problems and identify issues and provide solutions. Ability to navigate the enterprise & data assets across multiple functions. Highly organized. Effectively prioritizes and balances multiple efforts in a fast-paced environment. Excellent communication and Presentation skills. Analytical abilities & great problem-solving skills. Work Timings* 11:00 AM to 8:00 PM IST. Job Location* Mumbai, Gurugram, GIFT, Chennai.

We envision a world where anyone can write without limits. Together, our companies—QuillBot, Scribbr, and LanguageTool—are on a mission to make written communication in any language better and more efficient. If you’re passionate about using technology to help people connect across cultures, join us. Ideal Candidate Undergraduate or Master's degree in computer science, artificial intelligence, or a related field, or equivalent experience. 2-4 years of hands-on experience in natural language processing and machine learning from prior work experience, course projects, or independent work. Strong knowledge of Python and deep learning toolkits (PyTorch, HuggingFace, etc.). Experience training neural network models (language models, sequence-to-sequence models, classifiers, etc.) for natural language processing. Passion for artificial intelligence, natural language processing, and machine learning. Strong command of the English language. Preferred: knowledge of one or more of the following languages: German, French, Dutch, Spanish, Portuguese. Responsibilities Design and build solutions for natural language technologies, including paraphrasing, grammar checking, proofreading, summarization, and translation. Survey, choose, and implement methods from natural language processing and machine learning to solve problems of interest. Optimize solutions by modifying training recipes, performing extensive experiments, analyzing results, and iterating rapidly. Develop internal tools to facilitate AI component development that are easily usable and extendable by others. Conduct data analysis to identify ways to improve solutions and diagnose issues. Contribute ideas to other AI teams working on a range of problems in artificial intelligence. Read literature in natural language processing and machine learning, understand strengths and weaknesses of novel methods, and identify potentially useful methods for problems of interest. Benefits & Perks Competitive salary, RSUs & annual bonus Medical coverage Life and accidental insurance Vacation & leaves of absence (menstrual, flexible, special, and more!) Developmental opportunities through education & developmental reimbursements & professional workshops Maternity & parental leave Hybrid & remote model with flexible working hours On-site & remote company events throughout the year Tech & WFH stipends & new hire allowances Employee referral program Premium access to QuillBot Benefits and benefit amounts differ by region. A comprehensive list applicable to your region will be provided in your interview process. Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. We strongly encourage you to apply if you're interested: we'd love to learn how you can amplify our team with your unique experience! This role is eligible for hire in India. We are a virtual-first company and have employees dispersed throughout the United States, Canada, India and the Netherlands. We have a market-based pay structure that varies by location. The base pay for this position is dependent on multiple factors, including candidate experience and expertise, and may vary from the amounts listed. You may also be eligible to participate in our bonus program and may be offered benefits, and other types of compensation. #India Equal Employment Opportunity Statement (EEO) We are an equal opportunity employer and value diversity and inclusion within our company. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation. About Learneo Learneo is a platform of builder-driven businesses, including Course Hero, CliffsNotes, LitCharts, Quillbot, Symbolab, and Scribbr, all united around a shared mission of supercharging productivity and learning for everyone. We attract and scale high growth businesses built and run by visionary entrepreneurs. Each team innovates independently but has a unique opportunity to collaborate, experiment, and grow together, and they are supported by centralized corporate operations functions, including HR, Finance and Legal.

Job Description 💰 Compensation Note: The budget for this role is fixed at INR 50–55 lakhs per annum (non-negotiable). Please ensure this aligns with your expectations before applying. 📍 Work Setup: This is a hybrid role , requiring 3 days per week onsite at the office in Hyderabad, Bangalore or Pune, India . Company Description: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. Job Description : We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities: Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. Qualifications: Technical Skills Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text. Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers. Experience with LLM fine-tuning, RAG-based architectures, and LangChain. Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval. Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask. Soft Skills Ability to translate AI insights into business impact. Strong problem-solving skills and ability to work in a fast-paced AI-first environment. Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders. Preferred Qualifications Experience in healthcare, pharma, or life sciences NLP use cases. Background in knowledge graphs, prompt engineering, and multimodal AI. Experience with Reinforcement Learning (RLHF) for improving conversation models.

Job Description 💰 Compensation Note: The budget for this role is fixed at INR 50–55 lakhs per annum (non-negotiable). Please ensure this aligns with your expectations before applying. 📍 Work Setup: This is a hybrid role , requiring 3 days per week onsite at the office in Hyderabad, Bangalore or Pune, India . Company Description: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. Job Description : We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities: Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. Qualifications: Technical Skills Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text. Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers. Experience with LLM fine-tuning, RAG-based architectures, and LangChain. Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval. Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask. Soft Skills Ability to translate AI insights into business impact. Strong problem-solving skills and ability to work in a fast-paced AI-first environment. Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders. Preferred Qualifications Experience in healthcare, pharma, or life sciences NLP use cases. Background in knowledge graphs, prompt engineering, and multimodal AI. Experience with Reinforcement Learning (RLHF) for improving conversation models.

PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey. Our expert teams of Business Analysts, based across the US, Canada, Europe, and India, provide Analytics and Business Solutions using our worldwide delivery models for a wide range of clients. Our clients include established, multinational BioPharma leaders and innovators, as well as entrepreneurial firms on the cutting edge of science. We have deep expertise in Forecasting, Business Analytics, Competitive Intelligence, Sales Analytics, and the Analytics Centre of Excellence Model. Our wealth of therapeutic area experience cuts across Oncology, Immuno- science, CNS, CV-Met, and Rare Diseases. We support our clients' needs in Primary Care, Specialty Care, and Hospital business units, and we have managed portfolios in the Biologics space, Branded Pharmaceuticals, Generics, APIs, Diagnostics, and Packaging & Delivery Systems. Role Summary: This is a client-facing leadership role responsible for managing strategic relationships, designing and delivering advanced analytics and AI/GenAI solutions, and driving measurable impact across global life sciences organizations. The ideal candidate will blend deep pharma domain knowledge, modern AI/ML expertise, and strong consulting acumen to shape and deliver differentiated solutions to commercial and brand teams at top pharmaceutical and biotech companies. Key Responsibilities: Client Engagement & Advisory (40%): Act as a strategic advisor to brand, commercial, and analytics leaders in global pharma clients. Lead consultative discussions on AI/analytics roadmaps, omnichannel strategy, forecasting, and performance management. Present insights, influence stakeholders, and translate analytics into compelling narratives that drive decisions. AI-Enhanced Analytics Delivery (30%): Oversee delivery of AI-enabled solutions across domains like: Dynamic segmentation & targeting Next-best-action engines Predictive HCP behavior models LLM-based insight generation (GenAI) Brand performance diagnostics Ensure robust quality, timeliness, and strategic relevance of deliverables. Team & Capability Development (20%): Lead and grow a high-performing team of consultants, data scientists, and domain experts. Define and scale reusable AI/GenAI assets, frameworks, and accelerators. Partner with internal technology, data, and innovation teams to align on platform evolution. Practice Growth & Innovation (10%): Contribute to RFPs, proposals, and solutioning for new business opportunities. Develop PoVs, whitepapers, and use cases to position the firm as a leader in commercial AI/GenAI. Continuously scan the market for new pharma AI applications, platforms, and data partnerships. Required Qualifications: Master’s degree or higher in Data Science, Life Sciences, Business Analytics, or related field. 10–15 years of experience in commercial pharma analytics, including at least 3–5 years in a client-facing vendor/consulting role. Strong understanding of commercial pharma data: IQVIA (NRx/TRx), patient claims, CRM, HCP engagement, formulary/market access data. Experience delivering AI/ML/GenAI-driven solutions in real-world commercial use cases. Proven ability to engage with senior pharma stakeholders (Directors, VPs, GMs) and lead large programs. Preferred Skills: Familiarity with GenAI tools: OpenAI APIs, Claude, LLM summarization tools, Insight copilots. Experience with tools like Python/R, SQL, Tableau/Power BI, Databricks/Snowflake. Hands-on understanding of pharma GTM processes (launch excellence, sales ops, brand planning). Core Competencies: Strategic thinking and business storytelling Strong client presence and relationship building AI fluency – ability to evangelize and translate tech to value Project management and operational excellence Thought leadership and innovation mindset

We are looking for a Senior Data Scientist with a strong foundation in machine learning, data analysis, and a growing expertise in LLMs and Gen AI. The ideal candidate will be passionate about uncovering insights from data, proposing impactful use cases, and building intelligent solutions that drive business value. Key Responsibilities: - Analyze structured and unstructured data to identify trends, patterns, and opportunities. - Propose and validate AI/ML use cases based on business data and stakeholder needs. - Build, evaluate, and deploy machine learning models for classification, regression, clustering, etc. - Work with LLMs and GenAI tools to prototype and integrate intelligent solutions (e.g., chatbots, summarization, content generation). - Collaborate with data engineers, product managers, and business teams to deliver end-to-end solutions. - Ensure data quality, model interpretability, and ethical AI practices. - Document experiments, share findings, and contribute to knowledge sharing within the team Required Skills & Qualifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. - 3–4 years of hands-on experience in data science and machine learning. - Proficient in Python and ML libraries - Experience with data wrangling, feature engineering, and model evaluation. -Exposure to LLMs and GenAI tools (e.g., Hugging Face, LangChain, OpenAI APIs). - Familiarity with cloud platforms (AWS, GCP, or Azure) and version control (Git). - Strong communication and storytelling skills with a data-driven mindset. Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,500,000.00 per year Work Location: In person

Position Type : Full time Type Of Hire : Experienced (relevant combo of work and education) Education Desired : Bachelor's Degree Travel Percentage : 0% Job Description What you will be doing Design end-to-end AI and automation solutions for contact center and back-office operations, ensuring scalability, reliability, and security. Lead architectural discussions and solution design sessions for projects leveraging the Well-Architected Framework in public cloud environments, primarily AWS and Azure. Develop architectures for Generative AI use cases such as those for conversational AI, automated summarization, and workflow automation. Hands-on coding and development to build prototypes and POCs. Collaborate with business stakeholders, product managers, data scientists, and engineering teams to translate business requirements into robust technical solutions. Guide the implementation team on best practices, integration strategies, and technology selection. Perform architecture reviews, risk assessments, and design validations in accordance with organizational and industry standards. Maintain up-to-date knowledge of emerging AI, automation, and cloud technologies relevant to the contact center and back-office domains. Create clear and concise architecture documentation, technical diagrams, and presentation materials as needed. Serve as a trusted advisor and provide thought leadership across the AI Transformation team and broader organization. EDUCATION REQUIREMENTS Bachelor’s degree in business or related field or the equivalent combination of education, training, or work experience. What you Bring Minimum 7 years of experience in solution architecture, with a focus on cloud-native applications and services. Demonstrated expertise in designing and implementing AI-driven contact center and/or back-office automation solutions. Strong understanding and hands-on experience with at least one major public cloud provider (AWS, Azure, or GCP), including architectural best practices and security patterns. Proficiency in applying the Well-Architected Framework to solution design. Hands-on and extensive experience in at least one programming language – C++, C#, Java or Python. Experience developing and delivering Generative AI solutions, such as conversational assistants, chatbots, or large language model integrations, is a significant advantage. Excellent technology fundamentals, including knowledge of microservices, APIs, data platforms, integration patterns, and security. Outstanding verbal and written communication skills, with the ability to convey complex technical topics to both technical and non-technical audiences. Demonstrated skill in stakeholder engagement, requirements gathering, and cross-functional collaboration. Preferred Qualifications Certifications in cloud architecture (e.g., AWS Solutions Architect, Azure Solutions Architect). Direct experience with contact center platforms, RPA tools, workflow automation, and enterprise AI/ML platforms. Background in delivering solutions for regulated industries (e.g., financial services, healthcare). Experience with Agile and DevOps delivery models. What We Offer Opportunity to work on cutting-edge AI and automation projects with a global impact. Dynamic, collaborative, and innovative team environment. Competitive compensation and benefits package. Continuous learning and professional development opportunities. Join FIS BPS and lead the transformation of business process services with next-generation AI and automation solutions. FIS JOB LEVEL DESCRIPTION Expert professional role, acknowledged as a Subject Matter Expert (SME). Develops large and/or complex business process solutions that require detailed analysis and research and cross business lines, technical, functional and client domains. Acts as an internal consultant for highly complex issue resolution. Trains, coaches and mentors functional and technical staff within and across applications. Works independently on significant and unique issues where analysis of situations or data requires an evaluation of intangibles. Has proven ability to identify and solution complex mapping or interface requirements of unique projects and examines data field conversion requirements. Identifies additional opportunities to provide more products, services or other resources to customer. Demonstrates superior presentation, communication and negotiation skills. Participates as a senior member in strategic planning and directions. Assigned to the most highly visible, sensitive and critical projects and may be used in a consulting capacity. Typically requires a minimum of twelve plus years implementation and /or conversion experience with a demonstrated ability to handle high project complexity. Corporate Compensation must review and approve any incumbent(s) being placed in this role. Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice. Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass

DUTIES AND RESPONSIBILITIES Design, develop, and deploy AI solutions using Large Language Models (LLMs) such as GPT, LLaMA, Claude, or Mistral. Fine-tune and customize pre-trained LLMs for business-specific use cases. Build and maintain NLP pipelines for classification, summarization, semantic search, etc. Build and maintain vector database pipelines using Milvus, Pinecone, etc. Collaborate with cross-functional teams to integrate LLM-based features into applications. Analyze and improve model performance using appropriate metrics. Stay up-to-date with AI/ML research and integrate new techniques as appropriate. WORK EXPERIENCE 1–2 years of experience in AI/ML development with specific focus on NLP and LLM-based applications SKILLS, ABILITIES & KNOWLEDGE Strong hands-on experience in Python and AI/ML libraries (HuggingFace Transformers, LangChain, PyTorch, TensorFlow, etc.) Proficiency in working with closed-source models via APIs (e.g., OpenAI, Gemini) Understanding of prompt engineering, embeddings, and vector databases like FAISS, Milvus or Pinecone. Experience in deploying models using REST APIs, Docker, and cloud platforms (AWS/GCP/Azure) Familiarity with MLOps and version control tools (Git, MLflow, etc.) Knowledge of LLMOps platforms such as LangSmith, Weights & Biases is a plus Strong problem-solving skills, a keen eye for detail, and ability to work in an agile setu Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Additional Information Perks and Benefits Flexible working hours Saturday and Sundays are fixed off Health Insurance and Personal Accident Insurance BYOD (Bring Your Own Device) Benefit Laptop Buyback Scheme

Key Responsibilities: Develop, fine-tune, and deploy LLM-based NLP models for tasks such as text classification, summarization, entity recognition, and question answering. Implement deep learning architectures using TensorFlow and/or PyTorch . Integrate OpenAI APIs and other foundation models into internal applications and tools. Design and build computer vision models for image detection, recognition, classification, and segmentation. Collaborate with cross-functional teams including product managers, data engineers, and UI/UX designers. Stay updated with the latest research trends in AI/ML and apply them to enhance system capabilities. Optimize model performance for scalability, accuracy, and speed. Build pipelines for data preprocessing, model training, validation, and deployment. Document models, experiments, and system behavior for team knowledge sharing. Key Skills & Qualifications: Bachelor's or Master’s degree in Computer Science , Artificial Intelligence , Data Science , or a related field. Strong hands-on experience with TensorFlow (or PyTorch). Deep understanding of NLP techniques , transformers , BERT , GPT , T5 , etc. Experience working with OpenAI , Hugging Face , or other LLM frameworks. Solid foundation in Computer Vision concepts and frameworks like OpenCV , YOLO , CNNs , Detectron , etc. Proficient in Python and relevant libraries (e.g., Numpy, Pandas, Scikit-learn). Experience with REST APIs, Flask/FastAPI for deploying ML models is a plus. Excellent problem-solving and analytical skills. Preferred: Prior experience in building AI-based SaaS products or intelligent automation solutions. Knowledge of MLOps , model versioning , and cloud platforms (AWS/GCP/Azure). Familiarity with Reinforcement Learning and Generative AI is a bonus. Job Type: Full-time Pay: Up to ₹50,000.00 per month Schedule: Morning shift Work Location: In person

Job Description – Accounts Executive This position will have responsibilities related to accounting and to serving Aimler Solutions and its affiliates as Aimler Solutions clients. The position will be in Noida, India. Job Duties/ Responsibilities: · Help Ensure accuracy, quality control, and overseeing the profitability of the company. · Coordinate with warehouses, and other supply chain partners to track and maintain inventory records and keep up-to-date status on Inventory management. Experience working with costing inventory, valuation. · Assist in analyzing pricing and gross margins of products for various channels and platforms. · Assist in building a chart of accounts based on business functions and reporting needs. · Assist in maintaining and balancing the general ledger in an accurate, complete, and up to date manner. · Perform all activities related to the accounts payable function including reviewing, coding, and processing payments. Conduct wire transfers, issues checks and remit payments to vendors and others. · Perform account receivable functions including invoicing, deposits, collections, and revenue recognition. · Assist in Performing payroll functions as needed such as Collect, confirm and process timesheets and overtime, track employee vacation and sick time in an accurate and timely manner, and submit payroll taxes. · Monitor the preparation of the monthly & End of Financial Year accounting reporting packages. Prepare financial reports through the collection, analysis, and summarization of data, and other reports as needed. · Experience managing cash flow for small businesses . Prepare and present cash flow, inventory forecast, and budgeting. · Remain as a point of contact and liaise with banks, vendors, customers for any banking and finance related activities. · Proactive in raising questions and issues to bring to Leadership's attention. · Point of contact for escalation for any accounting related issues. Conduct reconciliation of all accounts on an as-needed basis · Utilize accounting and financial data to conduct thorough analysis of procurement transactions. · Apply analytical skills to identify trends, patterns, and anomalies within procurement data. · Monitor and analyze procurement costs, ensuring alignment with budgetary constraints. · Provide insights on cost-saving opportunities and efficiency improvements in the procurement process. Qualifications · CPA/ MBA or any equivalent accounting degree . · 5+ years of relevant experience working in accounting and bookkeeping. · Thorough knowledge and understanding of GAAP. · Working in consumer products and e-commerce industry is a plus. · Working with US clients or knowledge base is a plus. · Strong verbal and written communication skills · Proficient skills in QuickBooks, and Microsoft Excel · Experience with accounts payable, accounts receivable, payroll, and general ledger · A high degree of accuracy and attention to detail Skill Sets: · Strong analytical skills and attention to detail · proven skills in Microsoft Office excel, word, power point using Quick books and various computer systems. · Attention to detail and problem-solving skills. · Ability to work in a fast paced and international and diverse environment. · Strong communication skills · Skills to work with multiple parties including customers, vendors, and other service providers in order to collect required information for bids/ quotes. · Strong problem-solving skills. · Experience with any ERP is preferable. · Ability to multi-task, priorities, co-ordination, and manage time effectively. Job Type: Full Time Job Shift Timing: Night Shift Only Location: Noida CTC Offered : 6 to 7 LPA (based on experience, skills and performance in the interview) Job Type: Full-time Pay: ₹600,000.00 - ₹700,000.00 per year Ability to commute/relocate: Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required) Application Question(s): This job is for Night Shift Only, Are you comfortable to work in Night Shift? How soon you can join? Are you serving Notice Period? Current and Expected CTC? Experience: US Accounting: 8 years (Required) Work Location: In person

We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. For more information, visit www.exlservice.com. Job Summary: We are looking for a results-driven Data Scientist with a strong foundation in SQL and Python , coupled with hands-on experience in AI/ML and exposure to Generative AI (GenAI) technologies. The ideal candidate will work on developing predictive models, building data pipelines, and experimenting with GenAI tools to solve business challenges and enhance decision-making. Key Responsibilities: Design and implement AI/ML models for a variety of business use cases, including prediction, classification, clustering, and personalization. Extract, clean, and manipulate large datasets using SQL and Python for model development and analysis. Apply and experiment with Generative AI techniques (e.g., LLMs, text generation, summarization, prompt engineering) for emerging business needs. Build scalable data pipelines and automate data workflows. Work collaboratively with cross-functional teams to define project goals and deliver actionable insights. Communicate analytical results and technical concepts to both technical and non-technical stakeholders. Stay current with advancements in AI/ML and GenAI technologies and frameworks. Required Skills: Strong programming skills in Python with experience in libraries like Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch . Proficiency in SQL for data extraction, joins, and optimization. Solid understanding of machine learning algorithms and data science best practices. Experience handling structured and unstructured data. Exposure to Generative AI tools and frameworks (e.g., OpenAI APIs, Hugging Face, LangChain). Familiarity with data visualization tools and cloud platforms (AWS, GCP, Azure) is a plus.

Join our Team About this opportunity: We are seeking an experienced Senior Backend Engineer to join our Intelligent Automation and AI engineering team. This role is critical to driving the development of scalable backend systems that enable the enterprise-wide adoption of Generative AI solutions. The ideal candidate will bring strong technical expertise in API orchestration, data engineering, and memory optimization, coupled with a passion for operationalizing AI at scale across business functions. As a key member, you will design and build backend frameworks that power intelligent agents, streamline workflows, and unlock value for diverse business units. What you will do: Architect and develop robust backend systems to enable enterprise AI solutions across finance, operations, HR, and customer support functions. Design and implement data preprocessing and chunking pipelines to ensure efficient use of Large Language Models (LLMs) and cost optimization. Integrate vector databases and relational databases to support hybrid memory architectures for AI agents. Develop API orchestration layers leveraging e.g. LangChain, FastAPI/Django, and enterprise-grade middleware tools. Collaborate with business domain leaders to understand functional requirements and design domain-aware memory strategies for AI-powered workflows. Implement caching, validation, and summarization strategies to deliver accurate, cost-effective, and scalable AI solutions. Ensure secure, reliable integration of AI systems with internal enterprise platforms via REST/SOAP APIs. Document architectural blueprints, technical specifications, and operational workflows for enterprise-wide adoption. Stay ahead of trends in Generative AI and backend engineering to support enterprise transformation objectives. The skills you bring: 8-10 Years of experience. Technical Expertise: Proven experience designing and delivering backend solutions for AI/ML applications at scale. Python Proficiency: Strong hands-on skills with Python (Pandas, Numpy) for data engineering and validation workflows. API Orchestration: Expertise in developing and managing APIs (FastAPI, Django) and orchestrating workflows. Data Management: Experience with vector databases and relational databases LLM Integration: Working knowledge of cloud-based LLM APIs (Claude, OpenAI, Hugging Face) and memory optimization techniques. Enterprise Mindset: Ability to work within large, complex organizations, balancing innovation with operational stability and security requirements. Collaboration: Strong interpersonal skills to work with cross-functional business and IT teams in a transformation context. Preferred: Exposure to agentic AI architectures and designing token-efficient AI workflows for enterprise use cases. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Gurgaon Req ID: 769360