895 Summarization Jobs - Page 13

Intelligent Image Management Inc (IIMI) is an IT Services company reimagines and digitizes data through document automation using modern, cloud-native app development. As one of the world's leading multinational IT services companies with offices in the USA and Singapore, India, Sri Lanka, Bangladesh, Nepal and Kenya. Over 7,000 people are employed by IIMI worldwide whose mission is to advance data process automation. US and European Fortune 500 companies are among our clients. Become part of a team that puts its people first. Founded in 1996, Intelligent Image Management Inc. has always believed in its people. We strive to foster an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Website: https://www.iimdirect.com/ About the Role: We are looking for a highly experienced and driven Senior Data Scientist to join our advanced AI and Data Science team. You will play a key role in building and deploying machine learning models—especially in the areas of computer vision, document image processing, and large language models (LLMs) . This role requires a combination of hands-on technical skills and the ability to design scalable ML solutions that solve real-world business problems. Key Responsibilities: Design and develop end-to-end machine learning pipelines, from data preprocessing and feature engineering to model training, evaluation, and deployment. Lead complex ML projects using deep learning, computer vision, and document analysis methods (e.g., object detection, image classification, segmentation, layout analysis). Build solutions for document image processing using tools like Google Cloud Vision, AWS Textract , and OCR libraries. Apply LLMs (Large Language Models), both open-source (e.g., LLaMA, Mistral, Falcon, GPT-NeoX) and closed-source (e.g., OpenAI GPT, Claude, Gemini), to automate text understanding, extraction, summarization, classification, and question-answering tasks. Integrate LLMs into applications for intelligent document processing, NER, semantic search, embeddings, and chat-based interfaces. Use Python (along with libraries such as OpenCV, PyTorch, TensorFlow, Hugging Face Transformers) and for building scalable, multi-threaded data processing pipelines. Implement and maintain ML Ops practices using tools such as MLflow, AWS SageMaker, GCP AI Platform , and containerized deployments. Collaborate with engineering and product teams to embed ML models into scalable production systems. Stay up to date with emerging research and best practices in machine learning, LLMs, and document AI. Required Qualifications: Bachelor’s or master’s degree in computer science, Mathematics, Statistics, Engineering, or a related field. Minimum 5 years of experience in machine learning, data science, or AI engineering roles. Strong background in deep learning, computer vision, and document image processing . Practical experience with LLMs (open and closed source), including fine-tuning, prompt engineering, and inference optimization. Solid grasp of MLOps , model versioning, and model lifecycle management. Expertise in Python , with strong knowledge of ML and CV libraries. Experience with Java and multi-threading is a plus. Familiarity with NLP tasks including Named Entity Recognition , classification, embeddings , and text summarization . Experience with cloud platforms (AWS/GCP) and their ML toolkits Preferred Skills: • Experience with retrieval-augmented generation (RAG), vector databases, and LLM evaluation tools. • Exposure to CI/CD for ML workflows and best practices in production ML. • Ability to mentor junior team members and lead cross-functional AI projects. Work Location: Work from Office Send cover letter, complete resume, and references to email: tech.jobs@iimdirect.com Industry: Outsourcing/Offshoring Employment Type Full-time

We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser’s local storage. This includes cookies necessary for the website's operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve website's performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies. Press Tab to Move to Skip to Content Link Skip to main content Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook Search by Keyword Search by Location Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook View Profile Employee Login Search by Keyword Search by Location Show More Options Loading... Requisition ID All Skills All Select How Often (in Days) To Receive An Alert: Create Alert Select How Often (in Days) To Receive An Alert: Apply now » Apply Now Start apply with LinkedIn Please wait... Contractor - AI/ML Job Date: Jul 11, 2025 Job Requisition Id: 61561 Location: Indore, IN YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire AI/ML Professionals in the following areas : Designation: AI Engineer Experience: 2–4 Years Job Type: Full-time We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. In this role, you will leverage your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. You will design, develop, and deploy sophisticated machine learning models, conduct in-depth data analyses, and collaborate with cross-functional teams to deliver actionable insights. Responsibilities: Build and deploy ML models for classification, regression, and clustering tasks. Apply foundational GenAI concepts such as embeddings, summarization, and RAG. Use APIs and tools like LangChain, vector databases (e.g., Pinecone, FAISS). Prepare documentation and results interpretation. Required Skills: Strong hands-on experience in Python, Scikit-learn, Pandas. Knowledge of model evaluation, feature engineering, and model tuning. Exposure to LangChain and vector DBs. Basic exposure to FastAPI or Flask. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture Apply now » Apply Now Start apply with LinkedIn Please wait... Find Similar Jobs: Careers Home View All Jobs Top Jobs Quick Links Blogs Events Webinars Media Contact Contact Us Copyright © 2020. YASH Technologies. All Rights Reserved.

Role: AI/ML Engineer Experience: 1–2 years Location: Preferably Hyderabad Mode: Remote About MNR Technologies Global Pvt Ltd At MNR Technologies , we’re on a mission to build cutting-edge autonomous systems and intelligent applications that solve real-world problems. Our teams operate at the intersection of Machine Learning, NLP, and Agentic AI , leveraging frameworks like LangChain, LangGraph , and CrewAI to develop scalable, intelligent workflows. We are looking for early-career AI/ML Engineers (1–2 years of experience) who are eager to work on LLMs, RAG pipelines , and scalable backend systems . This is an opportunity to join a highly collaborative, fast-paced environment where you’ll contribute directly to real-world AI products from day one. What You’ll Do Build modular, agent-driven AI systems using LangChain , LangGraph , and CrewAI Develop and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases like FAISS, Pinecone , or Weaviate Fine-tune LLMs using HuggingFace Transformers for tasks like document summarization, extraction, and classification Design scalable and performant APIs using FastAPI (RESTful + async endpoints) Perform EDA , feature engineering, and implement core ML algorithms Collaborate with product and engineering teams to deliver production-grade solutions Work on both real-time and batch AI systems , ensuring reliability and scalability Required Skills 1–2 years of hands-on experience in AI/ML engineering or related role Working knowledge or experience with LangChain, LangGraph, or CrewAI Proficiency in Python and FastAPI for backend development Familiarity with vector databases (e.g., FAISS, Pinecone, Chroma) and RAG architectures Experience with LLM fine-tuning using HuggingFace or similar frameworks Good understanding of NLP tasks like NER, summarization, classification, and sentiment analysis Solid foundation in EDA , supervised/unsupervised learning, and core ML algorithms Comfortable working with APIs and integrating third-party service Bonus (Preferred) Exposure to Redis , Celery , or similar distributed task systems Understanding of async architecture , background jobs , or microservices Who Should Apply Candidates with 1–2 years of industry or startup experience in AI/ML or backend development Individuals with strong self-learning skills and a passion for building real-world AI products Engineers who enjoy blending ML, NLP, and backend engineering into unified intelligent systems Equal Opportunity Provider MNR Technologies Global Pvt Ltd is an equal opportunity employer committed to fostering a diverse, inclusive, and respectful workplace. We do not discriminate on the basis of race, religion, color, gender, sexual orientation, age, disability, or any other characteristic protected under applicable laws. Employment decisions are based solely on merit, qualifications, and business needs. At MNR, we believe in innovation, continuous learning, and giving young minds the space to build, grow, and lead. Join us and help shape the future of AI.

Role: AI/ML Engineer Experience: 1–2 years Location: Preferably Hyderabad Mode: Remote About MNR Technologies Global Pvt Ltd At MNR Technologies , we’re on a mission to build cutting-edge autonomous systems and intelligent applications that solve real-world problems. Our teams operate at the intersection of Machine Learning, NLP, and Agentic AI , leveraging frameworks like LangChain, LangGraph , and CrewAI to develop scalable, intelligent workflows. We are looking for early-career AI/ML Engineers (1–2 years of experience) who are eager to work on LLMs, RAG pipelines , and scalable backend systems . This is an opportunity to join a highly collaborative, fast-paced environment where you’ll contribute directly to real-world AI products from day one. What You’ll Do Build modular, agent-driven AI systems using LangChain , LangGraph , and CrewAI Develop and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases like FAISS, Pinecone , or Weaviate Fine-tune LLMs using HuggingFace Transformers for tasks like document summarization, extraction, and classification Design scalable and performant APIs using FastAPI (RESTful + async endpoints) Perform EDA , feature engineering, and implement core ML algorithms Collaborate with product and engineering teams to deliver production-grade solutions Work on both real-time and batch AI systems , ensuring reliability and scalability Required Skills 1–2 years of hands-on experience in AI/ML engineering or related role Working knowledge or experience with LangChain, LangGraph, or CrewAI Proficiency in Python and FastAPI for backend development Familiarity with vector databases (e.g., FAISS, Pinecone, Chroma) and RAG architectures Experience with LLM fine-tuning using HuggingFace or similar frameworks Good understanding of NLP tasks like NER, summarization, classification, and sentiment analysis Solid foundation in EDA , supervised/unsupervised learning, and core ML algorithms Comfortable working with APIs and integrating third-party service Bonus (Preferred) Exposure to Redis , Celery , or similar distributed task systems Understanding of async architecture , background jobs , or microservices Who Should Apply Candidates with 1–2 years of industry or startup experience in AI/ML or backend development Individuals with strong self-learning skills and a passion for building real-world AI products Engineers who enjoy blending ML, NLP, and backend engineering into unified intelligent systems Equal Opportunity Provider MNR Technologies Global Pvt Ltd is an equal opportunity employer committed to fostering a diverse, inclusive, and respectful workplace. We do not discriminate on the basis of race, religion, color, gender, sexual orientation, age, disability, or any other characteristic protected under applicable laws. Employment decisions are based solely on merit, qualifications, and business needs. At MNR, we believe in innovation, continuous learning, and giving young minds the space to build, grow, and lead. Join us and help shape the future of AI.

The Opportunity: Avantor is looking for a dynamic, forward-thinking, and experienced Associate Insurance Risk Management will play a pivotal role in the administration and enhancement of the company's insurance programs. This role will be a full-time position based out of our Coimbatore India office. The primary duty is to identify, assess, and mitigate risks related to insurance programs, ensuring the company's financial stability and operational efficiency. They analyze data, evaluate financial reports and policies, provide administrative support and collaborate with stakeholders to manage insurance exposures and claims. To provides general support to the Treasury department in preparation of reports, schedules, and reconciliations. Performs duties associated with cash management and reporting as related to cash receipts, disbursements and investments. Performs monthly bank reconciliation duties for all bank accounts. If you are passionate about solving complex challenges and driving innovation – let’s talk! Our organization is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. What we’re looking for Education: Bachelor’s degree in risk management, Insurance, Finance, or a related field Experience: 2 + Years of related experience Familiarity with insurance policies, claims, and risk management principles. Clear knowledge of Insurance Coverage - Property, General Liability (including Workers Comp and Auto), Professional Liability and Umbrella/Excess Liability Insurance Proficiency in Microsoft Office Suite, particularly Excel, and other relevant software Strong analytical and problem-solving skills Excellent communication and interpersonal skills How you will thrive and create an impact This position entails the collection of data for insurance program renewals, the management of insurance coverage lines and programs, and the execution of various administrative responsibilities Additionally, the Analyst will support other risk management programs, collaborating with internal and external stakeholders to identify trends and provide insights that inform strategic decision-making and optimize risk management practices The ideal candidate will have a strong background in risk management, excellent communication skills, and the ability to work collaboratively with cross-functional teams Support insurance renewal efforts by collecting and packaging data for submission, working closely with internal stakeholders and external partners Partner with stakeholders as required to gather information through data mining, aggregation, and summarization for insurance, claims management or other needs as requested Review and verify final premium variance and trend analyses versus prior periods using available data to highlight the changes in the programs. Such analyses shall be inclusive of all taxes and method and frequency of billing, and any changes in program terms and conditions Obtain, review and file copies of all insurance binders, policies and endorsements, including supporting data Assist with ongoing program administration and support, including formally notifying underwriters with policy additions and deletions stemming from acquisitions, divestitures or new/closing locations Obtain and provide Certificates of Insurance to necessary parties on a timely basis, and keep accurate records of all such certificates and notices provided to 3rd parties Maintain, update, and create necessary documentation to support the risk management department Maintain insurance exposure databases, manage policy audits, and handle claims Identify and implement process improvements to enhance the efficiency and effectiveness of risk management functions Process, track and allocate insurance-related invoices and expenses and recommend process improvements to reduce costs Analyze insurance premium invoices and assist in cost-center charges and charge outs of program expenses to subsidiaries. Facilitate the local billing of premium within underwriter network and remediate invoice errors or amounts that may otherwise become past due. Generate innovative suggestions that improve performance and contribute to the overall success of the risk management department Disclaimer: The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer. Why Avantor? Dare to go further in your career. Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science. The work we do changes people's lives for the better. It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor. We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world. Apply today! EEO Statement: We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law. If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. 3rd party non-solicitation policy: By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation

Job Reference # 318225BR Job Type Full Time Your role Are you interested in pursuing a career in Data Science and AI with STAAT team in Global wealth management Americas? You will be responsible for building a team around Machine learning and AI in Mumbai Building deployable machine learning models and embedding it in business workflow Defining AI research problems and criteria for evaluating success Contributing to product design, developing features to enhance the product based on Natural Language techniques Processing massive amounts of structured and unstructured data Researching new machine learning solutions for complex business problems and embedding the models within the business workflow Communicating findings Your team You’ll be working STAAT Data Science team in Mumbai Your expertise degree in Computer Science or related field strong understanding of probability, statistics, linear algebra and calculus. 10+ years’ experience in developing and NLP Models Expert level proficiency in python Experience Leading a team of 10 or more 2+ years’ experience in building NLP models for Sentiment scoring, summarization, abstractions using deep learning, transfer learning techniques Experience in dealing with large-scale unstructured text data Experience in machine learning packages ML experience with different supervised and unsupervised learning algorithms knowledge of a variety of machine learning techniques such as classification, clustering, optimization, Random Forest, PCA, XgBoost, natural language processing, deep neural network, etc good understanding of mathematical underpinning and their real world advantages/drawbacks hands on experience of using programming languages (Python, R,SQL, etc.) to manipulate data, develop models and derive insights hands on experience of database and analytical technologies in the industry, such as Greenplum, DB2, Dataiku, Hadoop, etc hands-on experience deploying analytical models to solve business problems ability to develop experimental and analytical plans for data modeling processes and A/B testing About Us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.. We have a presence in all major financial centers in more than 50 countries. How We Hire We may request you to complete one or more assessments during the application process. Learn more Join us At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves. We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us. Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire AI/ML Professionals in the following areas : Designation: AI Engineer Experience: 2–4 Years Job Type: Full-time We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. In this role, you will leverage your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. You will design, develop, and deploy sophisticated machine learning models, conduct in-depth data analyses, and collaborate with cross-functional teams to deliver actionable insights. Responsibilities Build and deploy ML models for classification, regression, and clustering tasks. Apply foundational GenAI concepts such as embeddings, summarization, and RAG. Use APIs and tools like LangChain, vector databases (e.g., Pinecone, FAISS). Prepare documentation and results interpretation. Required Skills Strong hands-on experience in Python, Scikit-learn, Pandas. Knowledge of model evaluation, feature engineering, and model tuning. Exposure to LangChain and vector DBs. Basic exposure to FastAPI or Flask. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

Office Manager (Remote, Work-from-Home Friendly) Responsibilities: Manage day-to-day administrative operations and documentation. Organize and maintain internal files, project records, and official correspondence. Prepare, edit, and format documents using Word, Excel, and PowerPoint. Use tools like ChatGPT to support content creation, summarization, and communication. Schedule meetings, track deadlines, and coordinate with vendors and external partners. Support onboarding/offboarding and basic HR admin tasks. Skills: Strong command of Microsoft Office Suite (Word, Excel, PowerPoint). Proficient in modern productivity tools (e.g., Google Workspace, Slack, Notion). Ability to leverage AI tools like ChatGPT for task efficiency. Excellent English communication, both written and verbal. Highly organized, proactive, and able to manage multiple priorities. Experience: 3+ years of experience in administrative, office management, or executive support roles. Qualifications: Bachelor's degree preferred, but not mandatory with relevant experience. Perks (Perfect for Working Mums): Fully remote and flexible work hours. Family-friendly policies and understanding of parenting commitments. Paid time off, wellness support, and home office setup reimbursement. A supportive, inclusive team culture with growth opportunities.

The Opportunity Avantor is looking for a dynamic, forward-thinking, and experienced Associate Insurance Risk Management will play a pivotal role in the administration and enhancement of the company's insurance programs. This role will be a full-time position based out of our Coimbatore India office. The primary duty is to identify, assess, and mitigate risks related to insurance programs, ensuring the company's financial stability and operational efficiency. They analyze data, evaluate financial reports and policies, provide administrative support and collaborate with stakeholders to manage insurance exposures and claims. To provides general support to the Treasury department in preparation of reports, schedules, and reconciliations. Performs duties associated with cash management and reporting as related to cash receipts, disbursements and investments. Performs monthly bank reconciliation duties for all bank accounts. If you are passionate about solving complex challenges and driving innovation – let’s talk! Our organization is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. What We’re Looking For Education: Bachelor’s degree in risk management, Insurance, Finance, or a related field Experience: 2 + Years of related experience Familiarity with insurance policies, claims, and risk management principles. Clear knowledge of Insurance Coverage - Property, General Liability (including Workers Comp and Auto), Professional Liability and Umbrella/Excess Liability Insurance Proficiency in Microsoft Office Suite, particularly Excel, and other relevant software Strong analytical and problem-solving skills Excellent communication and interpersonal skills How you will thrive and create an impact This position entails the collection of data for insurance program renewals, the management of insurance coverage lines and programs, and the execution of various administrative responsibilities Additionally, the Analyst will support other risk management programs, collaborating with internal and external stakeholders to identify trends and provide insights that inform strategic decision-making and optimize risk management practices The ideal candidate will have a strong background in risk management, excellent communication skills, and the ability to work collaboratively with cross-functional teams Support insurance renewal efforts by collecting and packaging data for submission, working closely with internal stakeholders and external partners Partner with stakeholders as required to gather information through data mining, aggregation, and summarization for insurance, claims management or other needs as requested Review and verify final premium variance and trend analyses versus prior periods using available data to highlight the changes in the programs. Such analyses shall be inclusive of all taxes and method and frequency of billing, and any changes in program terms and conditions Obtain, review and file copies of all insurance binders, policies and endorsements, including supporting data Assist with ongoing program administration and support, including formally notifying underwriters with policy additions and deletions stemming from acquisitions, divestitures or new/closing locations Obtain and provide Certificates of Insurance to necessary parties on a timely basis, and keep accurate records of all such certificates and notices provided to 3rd parties Maintain, update, and create necessary documentation to support the risk management department Maintain insurance exposure databases, manage policy audits, and handle claims Identify and implement process improvements to enhance the efficiency and effectiveness of risk management functions Process, track and allocate insurance-related invoices and expenses and recommend process improvements to reduce costs Analyze insurance premium invoices and assist in cost-center charges and charge outs of program expenses to subsidiaries. Facilitate the local billing of premium within underwriter network and remediate invoice errors or amounts that may otherwise become past due. Generate innovative suggestions that improve performance and contribute to the overall success of the risk management department Disclaimer The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer. Why Avantor? Dare to go further in your career. Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science. The work we do changes people's lives for the better. It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor. We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world. Apply today! EEO Statement We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law. If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. 3rd Party Non-solicitation Policy By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation

Hello Visionary! We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make an outstanding addition to our vibrant team. Siemens Mobility is an independent run company of Siemens AG. Its core business includes rail vehicles, rail automation and electrification solutions, turnkey systems, intelligent road traffic technology and related services. In Mobility, we help our customers meet the need for hard-working mobility solutions. We’re making the lives of people who travel easier and more enjoyable while constantly developing new, intelligent mobility solutions! We are looking for Commercial Project Manager You’ll make a difference by Responsible for summarized global reporting to the relevant Management level. Documentation in line with the required internal and external requirements. Handling commercial and legal project subjects. Collaboration with the Project Manager in terms of the project's strategic orientation and its respective internal and external communication. Adherence to fiscal, commercial-law and company-internal commercial rules. Commercial project coordination (e.g. application for and follow-up of bank guarantees, insurances, etc.) as well as coordination of legal, fiscal and insurance subjects. Order entry calculation, concurrent costing and final costing. Asset and cash flow management. Accurate allocation and monitoring of costs. Preparation of invoices and follow-up of claims. Project-internal controlling (deadlines, costs, quality). Regular project reporting / project status meetings / achievement reviews. Involves in the creation of final project reports and summarization of lessons learned with feedback to the organization. Overall handling of fiscal, currency-related aspects and insurance subjects, involving the responsible department and taking into consideration internal business models. Steers the project's supply chain incl. procurement, delivery and ECC. Wording of the commercial and legal contractual conditions with customers, consortium members and subcontractors. Involves in negotiations as well as interpretation and implementation of contracts in projects. Analysis and assessment of complex, where applicable international contract constellations. Active contract management together with the Project Manager for risks and opportunities. Claim and change order management. Assertion of own claims and prevention of unjustified claims. Agreement on contractual amendments about the scope of supplies and services, prices, deadlines or other contractually stipulated conditions. Identification and financial assessment of opportunities and risks, definition and implementation of suitable measures to reduce risks or realize opportunities, and creation of contingencies for remaining risks, active risk and opportunity management. Desired Skills: You should have experience of 7-8 years with bachelor’s degree in commerce or finance or accounting along with CA/CS/ICWA with basic understanding of Project Management Have SAP and advanced level of Excel skills will have added advantage. Have good communication skill to deal with different stakeholders within/outside organization. Join us and be yourself! We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us. Make your mark in our exciting world at Siemens. This role is based in Kalwa, Mumbai. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. We're Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow. Find out more about mobility at: https://new.siemens.com/global/en/products/mobility.html and about Siemens careers at: www.siemens.com/careers

Line of Service Advisory Industry/Sector GPS X-Sector Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. In business analysis at PwC, you will focus on analysing and interpreting data to provide strategic insights and recommendations for improving business performance. Your work will involve strong analytical skills and the ability to effectively communicate findings to stakeholders. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 157 countries with more than 300,000 people who are committed to delivering quality in Assurance, Advisory and Tax services. Within Advisory, PwC has a large team that focus on transformation in Government through Digital inclusion. The open position is for a candidate who desires to work with government clients and bring about a change in society. A successful candidate will be expected to work pro-actively and effectively on multiple client engagements over the period of time and take ownership of the entire project delivery he/she entrusted with. Responsibilities: · Lead the design and implementation of AI/ML models, particularly in the areas of Generative AI and advanced data analytics · Develop and fine-tune large language models (LLMs) and transformer-based architectures for specific use cases · Collaborate with data engineers, product owners and business stakeholders to translate requirements into intelligent solutions · Deploy ML models in production using MLOps practices, ensuring scalability and performance · Drive experimentation with cutting-edge Gen AI techniques (e.g., text generation, summarization, image synthesis) · Conduct data exploration, feature engineering and statistical modeling to support various business needs · Mentor junior team members and guide them in model development and evaluation best practices · Stay up to date with the latest research and industry trends in AI, ML and Gen AI · Document methodologies, models and workflows for knowledge sharing and reuse Mandatory skill sets: · 4+ years of experience in AI/ML and data science, with proven experience in Generative AI · Hands-on expertise with Python and relevant ML/AI libraries (e.g., PyTorch, TensorFlow, Hugging Face, Scikit-learn) · Strong understanding of LLMs (e.g., GPT, BERT, T5), transformers and prompt engineering · Experience with NLP techniques such as text classification, summarization, entity recognition and conversational AI · Ability to build and evaluate supervised and unsupervised learning models · Proficient in data wrangling, exploratory data analysis and statistical techniques · Familiarity with model deployment tools and platforms (Docker, FastAPI, MLflow, AWS/GCP/Azure ML services) · Excellent problem-solving, analytical thinking and communication skills Preferred skill sets: · Experience fine-tuning open-source LLMs using domain-specific data · Exposure to reinforcement learning (RLHF), diffusion models or multimodal AI · Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG) architectures · Experience with ML pipelines and automation (CI/CD for ML, Kubeflow, Airflow) · Background in conversational AI, chatbots or virtual assistants · Knowledge of data privacy, ethical AI and explainable AI principles · Publications, Kaggle participation or open-source contributions in the AI/ML space Years of experience required: · 4+ years Education qualification: · Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Statistics or a related field Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills AI Programming Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Administration, Business Analysis, Business Case Development, Business Data Analytics, Business Process Analysis, Business Process Modeling, Business Process Re-Engineering (BPR), Business Requirements Analysis, Business Systems, Communication, Competitive Analysis, Creativity, Embracing Change, Emotional Regulation, Empathy, Feasibility Studies, Functional Specification, Inclusion, Intellectual Curiosity, IT Project Lifecycle, Learning Agility {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

We are seeking a skilled Agentic AI Developer to design and implement intelligent agent systems powered by Large Language Models (LLMs) . This role involves developing LLM-based pipelines that can ingest transcripts, documents, or business narratives and generate structured artifacts such as workflows, decision trees, action plans, or contextual recommendations. You will collaborate with cross-functional teams to deploy autonomous AI agents capable of reasoning, planning, memory, and tool usage in enterprise environments — primarily within the Microsoft ecosystem (Azure, Power Platform, Copilot, and M365 integrations). Key Responsibilities Build and deploy autonomous agent systems using frameworks such as LangChain, AutoGen, CrewAI, or Semantic Kernel. Develop pipelines to process natural language input and generate structured outputs tailored to business needs. Implement agentic features such as task orchestration, memory storage, tool integration , and feedback loops. Fine-tune LLMs or apply prompt engineering to optimize accuracy, explainability, and responsiveness. Integrate agents with Microsoft 365 services (Teams, Outlook, SharePoint) and Power Platform components (Dataverse, Power Automate). Collaborate with business and product teams to define use cases, test scenarios, and performance benchmarks. Participate in scenario-based UAT testing, risk evaluation, and continuous optimization. Must-Have Skills Proficiency in Python and hands-on experience with ML/AI libraries and frameworks (Transformers, PyTorch, LangChain). Strong understanding of LLMs (e.g., GPT, Claude, LLaMA, Mistral) and prompt engineering principles. Experience developing agent workflows using ReAct, AutoGen, CrewAI, or OpenAI function calling . Familiarity with Vector Databases (FAISS, Pinecone, Qdrant) and RAG-based architectures . Skills in Natural Language Processing (NLP) : summarization, entity recognition, intent classification. Integration experience with APIs, SDKs , and enterprise tools (preferably Microsoft stack). Preferred Certifications (Candidates with the following certifications will have a strong advantage) : ✅ Microsoft Certified: Azure AI Engineer Associate (AI-102) ✅ Microsoft Certified: Power Platform App Maker (PL-100) ✅ Microsoft 365 Certified: Developer Associate (MS-600) ✅ OpenAI Developer Certifications or Prompt Engineering Badge ✅ Google Cloud Certified: Professional Machine Learning Engineer ✅ NVIDIA Deep Learning Institute Certifications ✅ Databricks Generative AI Pathway (optional)

Data Scientist – AI/ML & GenAI Role Summary: Seeking a Data Scientist with expertise in machine learning, deep learning, NLP, and generative AI (LLMs) to build, deploy, and maintain end-to-end AI solutions. This role involves close collaboration with business and technical teams to drive data-informed decisions and optimize business outcomes. Key Responsibilities: Extract, process, and validate structured and unstructured data. Build and deploy ML/DL models, including LLMs and GenAI applications. Develop scalable and reproducible model training and deployment pipelines. Translate business problems into analytical solutions. Design data visualizations and dashboards for clear insight delivery. Collaborate with engineering, product, and design teams. Implement agile practices for timely delivery of data products. Ensure model performance, scalability, and adaptability. Required Skills: Languages: Python, R, SQL, Java ML/DL Frameworks: scikit-learn, TensorFlow, PyTorch, Hugging Face GenAI: Experience with LLMs and generative AI frameworks NLP: Text classification, summarization, language modeling Tools: Git, Docker, APIs, cloud platforms (AWS/GCP/Azure) Soft Skills: Analytical thinking, business intuition, storytelling, cross-team communication Candidates with lesser notice period (max 1 month) or immediate joiners apply Job Type: Full-time Pay: ₹800,000.00 - ₹1,200,000.00 per year Work Location: In person

Job Title: Business Analyst Lead – Generative AI Experience: 7–15 Years Location: Bangalore Designation Level: Lead Role Overview: We are looking for a Business Analyst Lead with a strong grounding in Generative AI to bridge the gap between innovation and business value. In this role, you'll drive adoption of GenAI tools (LLMs, RAG systems, AI agents) across enterprise functions, aligning cutting-edge capabilities with practical, measurable outcomes. Key Responsibilities: 1. GenAI Strategy & Opportunity Identification Collaborate with cross-functional stakeholders to identify high-impact Generative AI use cases (e.g., AI-powered chatbots, content generation, document summarization, synthetic data). Lead cost-benefit analyses (e.g., fine-tuning open-source models vs. adopting commercial LLMs like GPT-4 Enterprise). Evaluate ROI and adoption feasibility across departments. 2. Requirements Engineering for GenAI Projects Define and document both functional and non-functional requirements tailored to GenAI systems: Accuracy thresholds (e.g., hallucination rate under 5%) Ethical guardrails (e.g., PII redaction, bias mitigation) Latency SLAs (e.g., <2 seconds response time) Develop prompt engineering guidelines, testing protocols, and iteration workflows. 3. Stakeholder Collaboration & Communication Translate technical GenAI concepts into business-friendly language. Manage expectations on probabilistic outputs and incorporate validation workflows (e.g., human-in-the-loop review). Use storytelling and outcome-driven communication (e.g., “Automated claims triage reduced handling time by 40%.”) 4. Business Analysis & Process Modeling Create advanced user story maps for multi-agent workflows (AutoGen, CrewAI). Model current and future business processes using BPMN to reflect human-AI collaboration. 5. Tools & Technical Proficiency Hands-on experience with LangChain, LlamaIndex for LLM integration. Knowledge of vector databases, RAG architectures, LoRA-based fine-tuning. Experience using Azure OpenAI Studio, Google Vertex AI, Hugging Face. Data validation using SQL and Python; exposure to synthetic data generation tools (e.g., Gretel, Mostly AI). 6. Governance & Performance Monitoring Define KPIs for GenAI performance: Token cost per interaction User trust scores Automation rate and model drift tracking Support regulatory compliance with audit trails and documentation aligned with EU AI Act and other industry standards. Required Skills & Experience: 7–10 years of experience in business analysis or product ownership, with recent focus on Generative AI or applied ML. Strong understanding of the GenAI ecosystem and solution lifecycle from ideation to deployment. Experience working closely with data science, engineering, product, and compliance teams. Excellent communication and stakeholder management skills, with a focus on enterprise environments. Preferred Qualifications: Certification in Business Analysis (CBAP/PMI-PBA) or AI/ML (e.g., Coursera/Stanford/DeepLearning.ai) Familiarity with compliance and AI regulations (GDPR, EU AI Act). Experience in BFSI, healthcare, telecom, or other regulated industries.

About Lowe’s Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. About The Team Internal Audit is an independent assurance/advisory function reporting functionally to the audit committee of the Board and administratively to the Finance function(CFO). IA is responsible for planning, executing, and reporting operational, compliance, financial, and technology audits. Job Summary The IT Senior Auditor will work closely with the IT Lead Auditor and the IT Audit Manager to assist in audits that evaluate the effectiveness of internal controls established to manage the Company’s most significant risks including IT General Controls (ITGCs) established for compliance with Sarbanes Oxley regulation. The IT Senior Auditor will assist in the planning and execution of audit/SOX engagements by conducting interviews and walkthroughs with process owners; assist in the development and execution of audit test steps associated with related controls; and prepare and review workpapers to document the audit work performed to support conclusions reached. The IT Senior Auditor will also interpret test results and will developing oral/written communication of audit/SOX results to the client. While the IT Senior Auditor will support highly complex projects and/or SOX ITGC audits, this role will also have the opportunity to lead other projects as well. Additionally, the IT Senior Auditor will actively participate in departmental non-project activities. II. Roles & Responsibilities Project Evaluation and Data Integrity: Develop project plans and work programs to document and test internal controls/ITGCs from an Information Technology (IT) perspective Performs preliminary survey work and document processes to identify significant risks and their related controls within a specific IT process, application, etc. Execute test steps designed to evaluate the effectiveness of relevant internal cross-functional internal controls (i.e., store operations, financial, IT, etc.) Identify and document IT control design and effectiveness weaknesses based on analysis performed Summarize and clearly document audit findings within the audit report with the level of quality necessary for an executive audience Project Management Coordinate with the internal teams and management to ensure project milestone timelines are met Applies technical knowledge of IT (in conjunction with Operations, Finance, etc.) to ensure efficiency throughout the audit engagement. Utilize internal resources to assist when audit topics require intermediate to advanced knowledge Continuously develop knowledge of audit tools and techniques to ensure quality audit work Efficiently manage time to complete assigned audit plan within the established deadlines following Lowe’s Audit Methodology Project management responsibilities for smaller projects through day-to-day project management, by discussing expectations with the team, maintaining consistent communication throughout the audit engagement, and through reviewing Staff Auditor summarization of audit findings and results Project Communication Ensure significant findings, root causes, risk exposures, and management action plans are concise and documented in a timely manner Clearly communicate technical audit exceptions and other items of concern in a timely manner to audit team and IT clients Develop client relationships professionally through consistent dialogue and open communications throughout the audit process Business Influence:Meet or exceed customers’ expectations while creating a seamless experience for the client by understanding how the IT Senior Auditor role, team goals, and daily activities fit into the company vision Drive for results by consistently meeting or exceeding deadlines for defined Audit Team or Departmental goals Colloboration With Others Efficiently manage and organize work processes to ensure the most effective work flow. Support a collaborative environment by working in a team of peers to solve problems and share information with peers, manager, and customers as appropriate Self Development: Organize resources and information in an efficient manner to handle competing demands and accomplish what needs to be done III. Years Of Experience 4 to 7 years post qualification experience IV. Education Qualification & Certifications (optional) Required Minimum Qualifications Bachelor’s degree in Engineering/Information Technology or Accounting / Finance- Experience in internal/external audit, Accounting and SOX Skill Set Required Primary Skills (must Have) Information technology experience Auditing experience Project management Team supervision Report writing and written communication Secondary Skills (desired) Accounting/Finance experience Information Security/operational experience Negotiation skills Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.

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

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

Position: Data Consultant- Government Duration: Contract Location: Delhi ( 5 days in office of central ministry) About Sattva We Partner to deliver social impact at scale Sattva Consulting is a global impact consulting firm from India. Since 2009 we have been engaging with communities, business and government to achieve societal impact at scale. We believe that Civil society, Business and Government all have a critical role to play in building an equitable and sustainable world, and we actively partner with all stakeholders to enable impact through our advisory & orchestration services, knowledge and data platforms which we have built as public goods for the ecosystem and collaborative solutions and partnerships. Our teams are based in India, Singapore, Denmark and UK, but as a global organization our work has spanned 25 countries and 5 continents. For more information, please visit: www.sattva.co.in The Opportunity We are seeking a Data Consultant- Government to join the Foundations Advisory—a versatile, hands-on role for someone who is passionate about using data for public good. You will lead analysis and insight generation from large-scale secondary datasets, create compelling visual narratives, and contribute to the evolution of our AI strategy to enhance the consumability of data products. You will work across diverse internal and external contexts—content creation, product development, platform analytics, partner support, and strategic projects. This is a cross-cutting role that strengthens our core data capacity and offers room for intellectual and creative exploration. As a Data Consultant- Government I, you will be at the center of one of India’s most credible data-for-impact platforms. This role offers: A platform to influence how data is consumed across the development ecosystem A chance to work across AI, storytelling, research, and product domains A collaborative environment that values precision, curiosity, and public purpose Key Responsibilities Data Analysis & Insight Generation Lead end-to-end analysis of secondary data: sourcing, cleaning, exploring, and interpreting large public datasets (e.g., NFHS, PLFS, UDISE+, Census). Design and deliver high-quality insights and visuals that drive decision-making across philanthropy, CSR, and nonprofit teams. Collaborate with cross-functional teams to ensure analytical outputs are grounded in the development context and relevant to end-users. Data Visualization & Storytelling Develop visual dashboards and reports using tools like Tableau or Power BI. Craft compelling data stories for platform, social media, and long-form content, translating technical analysis into intuitive narratives for a range of audiences. Preferred but not essential: Candidates with a flair for data journalism or content writing on development topics will be valued. Cross-Context Engagement Provide data support across internal initiatives like product development, thematic projects, stakeholder engagements, or platform content. Serve as an agile team member who can support and collaborate with existing team leads as needed. AI and Innovation Strategy Play an active role in shaping and executing our AI strategy—especially in using AI to enhance data summarization, visual explanation, and data discovery. Explore emerging use cases for AI in development data storytelling, visual design, or decision-support tools. Platform & Data Infrastructure Maintain a structured, version-controlled repository of cleaned and reusable datasets. Contribute to building scalable data workflows; support platform usage analytics and internal knowledge dashboards. Collaborate with the tech team on improving data architecture and usability. Core Skills (Essential) 4–6 years of experience in data analysis and visualisation, ideally within the development, public policy, or impact consulting ecosystem. Deep familiarity with the social development data landscape in India -- understanding of sector-specific indicators, trends, and data quality nuances. Strong proficiency in: Excel (Advanced) Tableau or Power BI (Mandatory) Ability to convert data into clear, compelling insights and visual outputs. Strong attention to detail, analytical rigor, and user-centric thinking. Preferred Skills (Good To Have) Exposure to government datasets like NFHS, Census, NSSO, UDISE+ (can be learned on the job). Familiarity with SQL, R/Python, PowerQuery or basic automation tools (for scraping, wrangling). Experience in AI tools for data analysis or storytelling, even at a conceptual or early experimentation level. Writing or editorial experience, especially in data storytelling or journalism, is a strong advantage. Why Sattva? It's not about us really- Because IMPACT is everybody’s business. Create Impact: Make an impact with the work you do and solutions you design Work Environment: Thrive in a diverse, inclusive and collaborative environment Learn & Grow: Challenge yourself to learn, grow and deliver the best you can Future Ready: Work on critical issues of today that will affect our collective tomorrow How to Prepare? This is your opportunity to showcase not only your qualifications but also your unique personality and passion for making a meaningful impact. Approach your application with intentionality, ensuring that each word reflects your commitment to excellence and aligns seamlessly with the values of Sattva. Sattva is an equal opportunity employer and considers qualified applicants regardless of race, religion, caste, creed, gender, sexual orientation, physical or mental disability, or any other legally protected and/or marginalized characteristics. Diversity, Equity, and Inclusion are essential to our business and we foster an environment of respect and a culture that celebrates diversity and promotes equity and inclusion. We are committed to providing all employees with education, training, and development opportunities to create a workplace where everyone feels safe, respected, and included.

Key Responsibilities: • Design and implement predictive models and machine learning algorithms to solve healthcare-specific challenges • Analyze large, complex healthcare datasets including electronic health records (EHR) and claims data • Develop statistical models for patient risk stratification, treatment optimization, population health management, and revenue cycle optimization • Build models for clinical decision support, patient outcome prediction, care quality improvement, and revenue cycle optimization • Create and maintain automated data pipelines for real-time analytics and reporting • Work with healthcare data standards (HL7 FHIR, ICD-10, CPT, SNOMED CT) and ensure regulatory compliance • Develop and deploy models in cloud environments while creating visualizations for stakeholders • Present findings and recommendations to cross-functional teams including clinicians, product managers, and executives Qualifications required: • Bachelor's degree in data science, Statistics, Computer Science, Mathematics, or related quantitative field • At least 2 years of hands-on experience in data science, analytics, or machine learning roles • Demonstrated experience working with large datasets and statistical modeling • Proficiency in Python or R for data analysis and machine learning • Experience with SQL and database management systems • Knowledge of machine learning frameworks such as scikit-learn, TensorFlow, PyTorch • Familiarity with data visualization tools such as Tableau, Power BI, matplotlib, ggplot2 • Experience with version control systems (Git) and collaborative development practices • Strong foundation in statistics, hypothesis testing, and experimental design • Experience with supervised and unsupervised learning techniques • Knowledge of data preprocessing, feature engineering, and model validation • Understanding of A/B testing and causal inference methods. What You’ll Need to Be Successful (Required Skills): • Large Language Model (LLM) Experience: At least 2 years of hands-on experience working with pre-trained language models (GPT, BERT, T5) including fine-tuning, prompt engineering, and model evaluation techniques • Generative AI Frameworks: Proficiency with generative AI libraries and frameworks such as Hugging Face Transformers, Lang Chain, OpenAI API, or similar platforms for building and deploying AI applications • Prompt Engineering and Optimization: Experience designing, testing, and optimizing prompts for various use cases including text generation, summarization, classification, and conversational AI applications • Vector Databases and Embeddings: Knowledge of vector similarity search, embedding models, and vector databases (Pinecone, We aviate, Chroma) for building retrieval-augmented generation (RAG) systems • AI Model Evaluation: Experience with evaluation methodologies for generative models including BLEU scores, ROUGE metrics, human evaluation frameworks, and bias detection techniques • Multi-modal AI Systems: Familiarity with multi-modal generative models combining text, images, and other data types, including experience with vision-language models and cross-modal applications • AI Safety and Alignment: Understanding of responsible AI practices including content filtering, bias mitigation, hallucination detection, and techniques for ensuring AI outputs align with business requirements and ethical guidelines

Job Title: Prompt Engineer Location: Fully Remote Rate: $8.00 - $12.00 USD per hour based on experience Schedule: Monday to Friday, Eastern Standard Time Job Type: Full-Time About Us: AbroadWorks is a fast growing global enterprise with established operations in the United States, India, and the Philippines. We specialize in providing both service-based solutions and advanced tech to help North American organizations in finding, onboarding, and managing global talent easily. Our Offerings: Global Staffing Services: Currently, the majority of our revenue is generated through our comprehensive global staffing services, which cater to the diverse needs of our clients. Technology Solutions: Looking ahead, our strategic focus is to expand our footprint in the software sector, leveraging our technology to improve global human capital and talent management processes. Job Description: We are looking for a highly analytical and creative Prompt Engineer to support our AI and automation initiatives. This role requires strong language intuition, logical reasoning, and the ability to design, test, and optimize prompts that maximize the performance and accuracy of large language models (LLMs) such as ChatGPT. You will play a critical role in building high-quality prompt libraries, testing output consistency, and supporting internal and client-facing AI applications. Requirements: Must have at least a year of experience as a Prompt Engineer or similar role. At least 1–3 years of experience in a related role (e.g., content strategy, technical writing, NLP, product development, or research) Exceptional written communication skills and fluency in English Strong analytical thinking and pattern recognition Familiarity with LLMs and AI tools such as OpenAI's ChatGPT, Claude, Bard, etc. Experience using prompt frameworks or AI integrations (e.g., Zapier, Make, LangChain, Python scripting for prompts, etc.) is a strong advantage Comfortable working independently in a remote, asynchronous team environment Organized, detail-oriented, and able to document and track iterations systematically Preferred Qualifications: ​Experience with prompt versioning and performance analysis Exposure to or interest in product design, human-computer interaction, or machine learning concepts Prior experience in UX writing, copywriting, technical documentation, or conversational design Basic coding or scripting skills (Python, JavaScript, etc.) Key Responsibilities: Design, write, and iterate on effective prompts for a variety of use cases including content generation, summarization, classification, automation, and data extraction Collaborate with product, data, and engineering teams to understand user requirements and design prompt workflows that meet them Evaluate AI model outputs for accuracy, relevance, tone, and consistency Conduct prompt A/B testing and fine-tune prompts for better outcomes Maintain a prompt knowledge base and contribute to scalable prompt engineering strategies Stay current with advancements in prompt engineering, LLM capabilities, and generative AI tools Assist in training internal teams or clients on using LLMs effectively through prompt guidance Create documentation and best practices for internal and external use Successful candidates for this role are expected to possess the following attributes: ​M ust have excellent English communication skills.H as the ability to complete projects in a timely manner and quickly adjust to changing circumstances and embrace new technologies, processes, or methods.G reat logical and verbal reasoning skills.E xceptionally detail-oriented.E xceptional problem-solving and information-processing skills.A bility to think outside the box.A great work ethic and interest in learning new concepts and growing with the job.A bility to work both independently and as part of a team.M ust have their own work device (preferably a desktop or laptop) and a stable internet connection.M ust be comfortable with using a time-tracking software for payroll purposes. S uccessful candidates for this role will be rewarded with the following benefits:A total of five paid vacation days per year (additional days can be taken unpaid).A 5% raise per year guaranteed (additional raises or bonuses may be given for outstanding performance).A paid 15-minute break for every 4 hours of work * Vacation days increase by 1 vacation day per year. I.e. after one year of work, the total paid vacation days on year 2 would be six, on year 3 seven, etc. O ur main focus is to build an energized and motivated workforce where our AbroadWorkers are happy and satisfied with their jobs and growth opportunities. W e are looking forward to making you a part of our team! T hank you for your time and interest.

We are seeking a skilled Agentic AI Developer to design and implement intelligent agent systems powered by Large Language Models (LLMs) . This role involves developing LLM-based pipelines that can ingest transcripts, documents, or business narratives and generate structured artifacts such as workflows, decision trees, action plans, or contextual recommendations. You will collaborate with cross-functional teams to deploy autonomous AI agents capable of reasoning, planning, memory, and tool usage in enterprise environments — primarily within the Microsoft ecosystem (Azure, Power Platform, Copilot, and M365 integrations). Key Responsibilities Build and deploy autonomous agent systems using frameworks such as LangChain, AutoGen, CrewAI, or Semantic Kernel. Develop pipelines to process natural language input and generate structured outputs tailored to business needs. Implement agentic features such as task orchestration, memory storage, tool integration , and feedback loops. Fine-tune LLMs or apply prompt engineering to optimize accuracy, explainability, and responsiveness. Integrate agents with Microsoft 365 services (Teams, Outlook, SharePoint) and Power Platform components (Dataverse, Power Automate). Collaborate with business and product teams to define use cases, test scenarios, and performance benchmarks. Participate in scenario-based UAT testing, risk evaluation, and continuous optimization. Must-Have Skills Proficiency in Python and hands-on experience with ML/AI libraries and frameworks (Transformers, PyTorch, LangChain). Strong understanding of LLMs (e.g., GPT, Claude, LLaMA, Mistral) and prompt engineering principles. Experience developing agent workflows using ReAct, AutoGen, CrewAI, or OpenAI function calling . Familiarity with Vector Databases (FAISS, Pinecone, Qdrant) and RAG-based architectures . Skills in Natural Language Processing (NLP) : summarization, entity recognition, intent classification. Integration experience with APIs, SDKs , and enterprise tools (preferably Microsoft stack). Preferred Certifications (Candidates with the following certifications will have a strong advantage) : ✅ Microsoft Certified: Azure AI Engineer Associate (AI-102) ✅ Microsoft Certified: Power Platform App Maker (PL-100) ✅ Microsoft 365 Certified: Developer Associate (MS-600) ✅ OpenAI Developer Certifications or Prompt Engineering Badge ✅ Google Cloud Certified: Professional Machine Learning Engineer ✅ NVIDIA Deep Learning Institute Certifications ✅ Databricks Generative AI Pathway (optional)

Job Description: We are seeking a passionate AI/ML Engineer to join our SmartCare ID team and build healthcare-focused predictive and explainable AI models. You will work on real-world clinical and wellness data, including lab reports, vitals, EMR, and ABHA-linked data. Responsibilities: Develop machine learning models for risk prediction (e.g., diabetes, cardiac, lifestyle diseases) Build NLP pipelines for lab report summarization and health chatbots Work with time-series and structured/unstructured health data Deploy models using FastAPI or RESTful APIs Collaborate with frontend/backend teams for integration Ensure model performance, explainability, and accuracy Requirements: 2+ years in ML/NLP using Python (scikit-learn, XGBoost, spaCy, Transformers) Experience with healthcare datasets is a plus Strong in data preprocessing, model tuning, and evaluation Working knowledge of APIs, JSON, and cloud deployment Passion for healthcare innovation Job Type: Full-time Pay: ₹180,000.00 - ₹300,000.00 per year Benefits: Paid sick time Paid time off Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Work Location: Remote

Lead Full Stack Developer (Azure + AI + LLaMA Integration) Location: Noida Experience: 7–10 Years Type: Full-Time | Immediate Joiner Industry: AI-Powered Platforms | Web & Mobile Development | Cloud Applications About the Role Servoedge Technologies is building next-gen AI-powered digital platforms with high user engagement. We are looking for a hands-on Lead Developer to architect and deliver scalable, intelligent web and mobile apps. This role requires expertise in Microsoft technologies , cloud-native development , and LLM integration (OpenAI / LLaMA) . You’ll lead a cross-functional team and collaborate directly with the founders to bring innovation to life. Key Responsibilities Architect full-stack platforms using .NET Core / Python / JavaScript. Develop cloud-native apps on Microsoft Azure (App Services, Azure Functions, Blob Storage) . Integrate LLMs like OpenAI GPT and Meta's LLaMA models into business workflows for chat, summarization, automation, etc. Build scalable APIs and microservices using REST, GraphQL, and integrate AI pipelines. Lead and mentor a team of developers through Agile sprints and code reviews. Own deployment pipelines, security best practices, and performance tuning. Must-Have Skills 7+ years of development experience across .NET Core and/or Python. Proven experience building SaaS or high-traffic apps on Azure Cloud . Strong understanding of LLM integration (OpenAI, LLaMA 2/3, or similar) . Ability to work with Hugging Face, Ollama, LangChain, or open-source AI libraries. Familiar with REST APIs, authentication protocols (OAuth2/JWT), and DevOps pipelines. Good to Have Familiarity with containerized LLaMA deployments (e.g., Ollama, Docker, Kubernetes). Experience using LangChain, Transformers, or llama.cpp to embed AI into apps. Previous experience with cross-platform mobile frameworks (React Native, Flutter). Experience working in startup or product-led environments. What’s in it for You Ownership of core AI platform modules Freedom to propose and implement AI use cases Competitive pay + leadership track Work with a team deeply focused on Enterprise AI Adoption Job Type: Full-time Schedule: Day shift Monday to Friday Work Location: In person

Overview We are seeking an experienced Reporting GenAI Consultant with a strong background in developing AI-driven reporting solutions. This role focuses on building and integrating Generative AI capabilities into BI platforms to enable natural language insights, automated report generation, and interactive dialogue with data. The ideal candidate will have hands-on experience working with LLMs, prompt engineering, and modern data visualization tools. Responsibilities Design, develop, and deploy GenAI-based reporting solutions that generate insights summaries, dashboards, and narrative analytics using structured and unstructured data. Build natural language interfaces and conversational agents for querying data (Dialogue with Data), enabling users to interact with reports through plain English. Integrate GenAI features (like ChatGPT, Azure OpenAI, or Vertex AI) with enterprise BI platforms (Power BI, Tableau, Qlik, ThoughtSpot, etc.). Implement automated insight generation using LLMs to summarize trends, detect anomalies, and generate key takeaways. Collaborate with data engineering and BI teams to optimize data models and ensure clean, prompt-ready datasets. Design and fine-tune prompts and templates for contextual report summarization and storytelling. Conduct POCs and pilots to evaluate the feasibility and impact of GenAI-driven reporting use cases. Ensure solutions are secure, scalable, and compliant with enterprise governance policies. Qualifications 10+ years of experience in Business Intelligence/Analytics with 1-2 years in Generative AI implementations. Strong experience in Power BI with exposure to augmented analytics features. Experience working with LLMs (OpenAI, Azure OpenAI, Hugging Face, Google PaLM, etc.) for natural language understanding and summarization. Expertise in prompt engineering, few-shot learning, and custom summarization models. Good understanding of data storytelling, narrative generation, and auto-generated insights. Experience in integrating APIs for AI models into web or reporting tools. Familiarity with Python or JavaScript for model integration and backend logic. Excellent communication and stakeholder management skills. Preferred Qualifications: Experience with RAG (Retrieval-Augmented Generation), LangChain, or similar frameworks. Exposure to voice-based analytics or speech-to-insight solutions. Knowledge of data governance, privacy (GDPR/CPRA), and enterprise security standards. Familiarity with cloud platforms: Azure

Role: Machine Learning Engineer – Large Language Models Roles And Responsibilities: Design, develop, and deploy large-scale language models for a range of NLP tasks such as text generation, summarization, question answering, and sentiment analysis. Fine-tune pre-trained models (e.g., GPT, BERT, T5) on domain-specific data to optimize performance and accuracy. Collaborate with data engineering teams to collect, preprocess, and curate large datasets for training and evaluation. Experiment with model architectures, hyperparameters, and training techniques to improve model efficiency and performance. Develop and maintain pipelines for model training, evaluation, and deployment in a scalable and reproducible manner. Implement and optimize inference solutions to ensure models are performant in production environments. Monitor and evaluate model performance in production, making improvements as needed. Document methodologies, experiments, and findings to share with stakeholders and other team members. Stay current with advancements in LLMs, NLP, and machine learning, and apply new techniques to existing projects. Collaborate with product managers to understand project requirements and translate them into technical solutions. 3+ years of experience in machine learning and natural language processing. Proven experience working with LLMs (such as GPT, BERT, T5, etc.) in production environments Demonstrated experience fine-tuning and deploying large-scale language models. Technical Skills: Proficiency in Python and experience with ML libraries and frameworks such as PyTorch ,TensorFlow, Hugging Face Transformers, etc. Strong understanding of deep learning architectures (RNNs, CNNs, Transformers) and hands-on experience with Transformer-based architectures. Familiarity with cloud platforms (AWS, GCP, Azure) and experience with containerization tools like Docker and orchestration with Kubernetes. Experience with data preprocessing, feature engineering, and data pipeline development. Knowledge of distributed training techniques and optimization methods for handling large datasets. Soft Skills: Excellent communication and collaboration skills, with an ability to work effectively across interdisciplinary teams. Strong analytical and problem-solving skills, with attention to detail and a passion for continuous learning. Ability to work independently and manage multiple projects in a fast-paced, dynamic environment. Preferred Qualifications: Experience with prompt engineering and techniques to maximize the effectiveness of LLMs in various applications. Knowledge of ethical considerations and bias mitigation techniques in language models. Familiarity with reinforcement learning, especially RLHF (Reinforcement Learning from Human Feedback) Experience with model compression and deployment techniques for resource-constrained environments. Contributions to open-source projects or publications in reputable machine learning journals. Professional development opportunities, including access to conferences, workshops, and training programs. A collaborative, inclusive work culture that values innovation and teamwork Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. Primary skills (Must have): Python PyTorch, TensorFlow, Hugging Face Transformers Familiarity in cloud platforms-AWS, GCP, Azure docker, kubernetes Interview Details: Video screening with HR L1 - Technical Interview L2 - Technical and HR Round Note: Candidate must have own laptop. Must follow Kuwait calendar. Working Hours: 11:30 AM to 7:30 PM. Working days : Sunday to Thursday.