84 Gensim Jobs

Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description Education and Work Experience Requirements: 4 to 6 years of experience as Data Scientist Proven track record and experience with statistical modeling/data mining algorithms such as Multivariate Regression, Logistic Regression, clustering algorithms, Support Vector Machines, Decision Trees etc Machine learning, deep learning, graph mining. DOE, Forecasting, Segmentation, Uncertainty Analysis etc. Data Mining i.e. Text Mining, Classification Methods – SVM, NN, etc Vector Space model for Unstructured Text Sentiment Analysis, Association Mining, Semantic Analysis Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits Expertise with one of the following scripting languages: Python, R, Tensorflow, Keras, Pytorch OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs Good and experience of machine learning algorithms and ability to apply them in supervised and un-supervised NLP tasks. Knowledge of NLP algorithms that can handle various NLP tasks such as intent recognition, entity extraction, language modeling, text classification, question answering, text summarization, topic modeling and so on. Experience building and fine-tuning Language Models (LMs), such as BERT, ELMo, XLNet etc to solve bespoke NLP tasks. Tech savy and willing to work with open-Source Tools Should have independently handled a project technically and provided directions to the other Team Members. Able to lead the project independently. Experience in turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through development. Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company. Good to have foundational knowledge on Cloud, API frameworks like Flask, Fast API Prior experience working on Mobility or Healthcare domain will be a plus Qualifications Educational qualification: B.E/B.Tech/MCA or equivalent qualification Experience : 4 to 6 years of experience as Data Scientist Mandatory/requires Skills : Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Good knowledge of advanced statistical methods. Mine and analyze data, applying statistical methods as necessary, pertaining to customers’ discovery, and viewing experiences to identify critical product insights. Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits Preferred Skills :

You will be responsible for building, improving, and extending NLP capabilities. Your tasks will include selecting proper annotated datasets for supervised learning techniques, using effective text representation techniques to develop useful features, identifying and utilizing correct algorithms for specific NLP projects, developing NLP projects as per prescribed requirements, training developed NLP models, and evaluating their effectiveness. Additionally, you will conduct statistical analyses of models, adjust models where necessary, and extend machine learning frameworks and libraries for NLP projects. The ideal candidate should have 2-4 years of experience in Analytics and Machine Learning & Deep Learning, including expertise in areas such as Sentiment Analysis, Text Mining, Entity Extraction, Document Classification, Topic Modeling, Natural Language Understanding (NLU), and Natural Language Generation (NLG). You are expected to possess good experience in Web Scraping or data extraction through Selenium/Scrapy or other frameworks and related libraries like BeautifulSoup. Knowledge of advanced scraping techniques such as overcoming captcha, proxy, browser fingerprinting, and bot detection bypassing is preferred. You should have a working knowledge of various databases like MySQL, HBase, MongoDB, message queues, and Web RestFul APIs. Expertise in open-source NLP toolkits such as CoreNLP, OpenNLP, NLTK, Gensim, LingPipe, Keras, TensorFlow, Mallet, ML/math toolkits like scikit-learn, MLlib, Theano, NumPy, etc., is essential. Experience in testing and deployment of machine learning/deep learning projects on the desired platform is required. Strong logical and analytical skills along with good soft and communication skills are desired qualities. Desirable certifications for this role include Google Tensor Flow, Hadoop, Python, PySpark, SQL, and R.,

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? This Position is in GSG Advanced Analytics team as part of GSG MIS COE, is looking for full time candidates as Data Science Analysts. The Advanced Analytics team works across multiple Data Science/Machine Learning portfolio of projects across GSG organization across multiple areas of Servicing. Understand the overall business perspective and help conceptualize the business problem into a Data Science/ML roadmap Have a research bend of mind and read/engage/apply new techniques and algorithms in the field to generate efficiencies/process improvements. Rigorous testing of algorithms as per business norms and delivering significant working leverage over status quo and generate value for the business. Capability of writing, debugging and compiling codes in multiple Machine Learning environment and understanding of Python stack is necessary Research focus on problem solving through NLP(Natural Language Processing) is critical. Clear application on performance testing and validation framework of machine learning models Understand and deploy mathematical foundations of cutting edge NLP techniques on varied sources of data Willingness to derive insights from terabyte sized data and capability to design scalable solutions is paramount Minimum Qualifications Proven experience of applying using Machine Learning techniques like Regression, Classification, Supervised or Unsupervised Recommenders, Deep Learning etc. Ability to work in cross functional teams Excellent data wrangling and visualization skills Hands on knowledge of SQL is expected A research mindset with a zeal to experiment new algorithms is expected Preferred Qualifications: Master’s in a quantitative field (e.g., Finance, Engineering, Mathematics, Statistics Computer Science or Economics) from a top institute. A set of high impact research papers on applied NLP/ Deep Learning/ GenAI Prior experience working with Transformers/LSTMs/CNNs preferred Working knowledge of finetuning Large Language Models(LLMs) is a plus Deep knowledge of Statistics and Mathematics and ability to dissect problems from the first principle. Exposure to fields like Linear Algebra, Bayesian Statistics, Group theory is desirable Complete grip on Python environment and libraries (pandas, numpy, nltk, statsmodels, gensim, pyspark, spacy, transformers), Deep learning expertise is preferred and any of Tensorflow/Torch is preferred. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description Roles & Responsibilities : · Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. · Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails · Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc. · Experience in cloud services like Azure, GCP and AWS · Interact with our research team and with key partners in the market to build end-to-end AI/ML/NLP solutions: Conversational AI, document understanding and QnA. · Mine and analyze data, applying statistical methods as necessary, pertaining to customers’ discovery, and viewing experiences to identify critical product insights. · Proactively develop new metrics and studies to quantify the value of different aspects of product. · Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization. · Translate analytic insights into concrete, actionable recommendations for business or product improvement. · Build and improve reusable tools & modelling pipelines and support knowledge sharing across several teams. · Define and deploy best practices in Machine Learning & MLOps/LLMOps, mentor and teach colleagues. · Partner closely with product and engineering leaders throughout the lifecycle of project Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist · 2 to 3 years of experience in Generative AI solution development · Proven track record and experience with with GenAI technologies Open source LLMs like Llama, Gemma, Mixtral etc Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etc Prompt Engineering/Tuning, RAG, RAFT, LLM finetuning such as PEFT(LoRA, QLoRA ..) Understanding of SLMs such as Phi3, BERT and Transformer architecture Vector databases like Pincone, Qdrant etc. · Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model · Expertise with the following scripting languages: Python, R, Tensorflow, Keras, Pytorch OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs · Good and experience of machine learning algorithms and ability to apply them in supervised and un-supervised NLP tasks. · Knowledge of NLP algorithms that can handle various NLP tasks such as intent recognition, entity extraction, language modeling, text classification, question answering, text summarization, topic modeling and so on. · Experience building and fine-tuning Language Models (LMs), such as BERT, ELMo, XLNet etc to solve bespoke NLP tasks. · Tech savy and willing to work with open-Source Tools · Should have independently handled a project technically and provided directions to the other Team Members. Able to lead the project independently. · Experience in turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through development. · Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company. · Good to have foundational knowledge on Cloud, API frameworks like Flask, Fast API, Swagger/Postman tools · Prior experience working on Mobility or Healthcare domain will be a plus Qualifications Educational qualification: A Master’s or PhD is preferred (Computer Science / Machine Learning/ Mechanical, etc) If Bachelors, Machine Learning or Computer Science specialization only Experience : 5 to 8 years of experience as Data Scientist 2 to 3 years of experience in Generative AI solution development Mandatory/requires Skills : Open source LLMs like Llama, Gemma, Mixtral etc Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etc Prompt Engineering/Tuning, RAG, RAFT, LLM finetuning such as PEFT(LoRA, QLoRA ..) Understanding of SLMs such as Phi3, BERT and Transformer architecture Vector databases like Pincone, Qdrant etc. Preferred Skills : Python, R, Tensorflow, Keras, Pytorch OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs

Main Responsibilities Participating in the design and development of end-to-end data science analytics solutions using associated technologies Independent development of the problem solution steps and coding functionalities and its implementation by analysis of input and desired output Perform data preprocessing, harmonization, and feature engineering to prepare modeling datasets. Job Requirement Bachelor’s or Master’s degree in Computer Science, Data science, Data Analytics or a similar fields 2-4 years of working experience Advance knowledge in Python programming and experiences in data science using Python (familiar with the libraries Pandas, Scikit-learn, Streamlit, SpaCy, Gensim, NLTK, re, Plotly, Matplotlib, huggingface, transformer, openai, Langchain) Professional experience in the development of web applications such as WebApps and REST APIs with JavaScript frameoworks and with Python Experience with PowerApps and PowerAutomate Experience with data visualization techniques such as PowerBI etc. Experience in Machine Learning especially in the field of supervised machine learning and classification (create, train, apply classifier and evaluate results) Experience in regular expressions and natural language processing creating preprocessing pipelines) Familiar with and comfortable using the latest technological tools, including ChatGPT Working experience with LLMs (incorporate LLMs in WebApps to solve business tasks) and creating prompts for various tasks utilizing Langchain Primary location BASF Innovation campus at Turbhe, Navi Mumbai Job Information technology/Service

Bold is seeking the newest addition to the existing Data Science team to combine analytical skills and business knowledge for delivering key insights to the Product and Management teams. The role involves driving product development by utilizing vast user data sets to enhance current products and build new ones. The Data Science department at Bold is responsible for discovering patterns and trends in datasets, creating predictive algorithms and data models, and improving the quality of data or product offerings through machine learning techniques. The team collaborates with Engineering, Portals, BI, Product, and Legal vertical teams. Projects involve natural language processing and machine learning for tasks like resume parsing, ranking, data quality, job recommendations, and more. Responsibilities include working on data science projects involving NLP, predictive modeling, statistical analysis, and machine learning. Leveraging user data sets for research, model development, and product creation is essential. Collaborating with cross-functional teams to deliver end-to-end products, multi-tasking, estimating efforts, and mentoring/coaching data scientists are key aspects of the role. Knowledge and experience in statistical and machine learning algorithms, Python, large language models, backend technologies, and deep learning libraries are required. Experience with cloud infrastructure, tools for deploying models, and software stack components is beneficial. The role offers outstanding compensation, full health benefits, flexible time away, and additional perks like internet reimbursement, catered meals, and certification policy. Bold is known for transforming work lives and promoting diversity and inclusion among its global workforce.,

BOLD is seeking for newest addition to our existing Data Science team, youll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. Youll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products More towards the role required Job Description ABOUT THIS TEAM The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL. The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology. WHAT YOULL DO Demonstrate ability to work on data science projects involving predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc. Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience Evolve prompt engineering applications and benchmark different Large Language models to solve business problems. Implement and experiment with agentic workflows to improve the job seeker experience. WHAT YOULL NEED Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods Expert knowledge in Python. Experience in feature selection, building and optimising classifiers. Experience working with backend technologies such as Flask/ Gunicorn etc. Experience on working with open source library such Spacy,NLTK,Gensim etc Experience on working with deep-learning library such as Tensor flow, Pytorch etc Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. Be a keen learner and enthusiastic about developing software. Experience with prompt engineering, chain-of-thought, retrieval augmented generation, vector databases and preferably llm agents. Langchain and/or Llamaindex. WHAT&aposS GOOD TO HAVE Experience with Cloud infrastructure and platforms (Azure, AWS) Experience using tools to deploy models into the production environment such as Jenkins Experience with the ontology/taxonomies of the career/ recruiting domain e.g. O*Net NR EXPERIENCE- Software Engineer- 2.5 years+ Senior Software Engineer-4.5 years+ BENEFITS Outstanding Compensation Competitive salary Tax-friendly compensation structure Bi-annual bonus Annual Appraisal Equity in company 100% Full Health Benefits Group Mediclaim, personal accident, & term life insurance Group Mediclaim benefit (including parents' coverage) Practo Plus health membership for employees and family Personal accident and term life insurance coverage Flexible Time Away 24 days paid leaves Declared fixed holidays Paternity and maternity leave Compassionate and marriage leave Covid leave (up to 7 days) ADDITIONAL BENEFITS Internet and home office reimbursement In-office catered lunch, meals, and snacks Certification policy Cab pick-up and drop-off facility About BOLD We Transform Work Lives As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives. We Celebrate And Promote Diversity And Inclusion We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don&apost discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law. Show more Show less

You'll be part of global teams across Bupa markets You'll get to work on building innovative digital health solutions Job Description You'll bring your communication, analysis, problem-solving skills and initiative to this role to: Support the Global Head of Analytics Assurance in delivering the team's vision and development roadmap and manage the implementation of functional initiatives in the department. Empower the Internal Audit team through the development of a data analytics and reporting ecosystem. Support and deliver on data-driven audit planning including data analytics strategies to identify high-risk areas, prioritise audit activities and optimise resource allocation. Support and deliver on multiple analytics assurance activities, ensuring timely completion to a high standard in accordance with our methodology, processes and procedures. Collaborate with the Internal Audit Managers in the collection and analysis of data to deliver audit requirements, continuous auditing purposes and planning insights for reporting to key stakeholders. Build and manage relationships with stakeholders across the business outside of GIA. Deliver insightful analysis that enables audit teams to achieve their objectives. Standardise semi-structured and complex data types into consumable data models that are accessible to users in Internal Audit. Develop and present data analytic engagement reports and findings to senior management. Oversee analysts on individual audits, including allocation and review of audit work as well as day-to-day support and advice. Drive continuous improvement in GIA, your team, and your own personal performance The Successful Applicant 6+ years of experience in data science, AI, or related fields. Expertise in programming languages such as SQL, Python, R and visualisation tools (PowerBI, Qlik, Tableau). Experience with Natural Language Processing (NLP) libraries such as NLTK, Gensim, or spaCy. Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn. Strong analytical and problem-solving abilities. Strong communication skills and confidence in written and verbal presentation to stakeholders. Bachelor's degree in computer science, Information Technology, or related field with good educational record up to degree level. What's on Offer Career Development:You'll be part of global teams across Bupa markets, supporting your own professional development through international collaborations, while at the same time invigorating the delivery of products and services to our customers and employees. Innovation and Learning: Our GCC offers a modern workspace, designed to support innovation and encourage our people to think big, take calculated risks, and continuously learn and grow. State-of-the Art Technologies: You'll get to work on building innovative digital health solutions, using the latest technologies, including AI, machine learning and cloud computing, helping to support your own growth and development. Thriving at work:We foster a work environment where employees can thrive while making a meaningful difference. We're creating a balanced and fulfilling workplace, where you'll feel valued, be encouraged to grow your career, and motivated to deliver our purpose - helping people to live longer, healthier, lives and make a better world.

Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market-leading expertise in strategy, technology, data science, and creative design, to help CxOs envision and build what's next for their businesses. As a part of the team, your role will involve understanding client business requirements and providing suitable approaches to solve business problems across different domains. You will be responsible for developing strategies to solve problems in logical yet creative ways and managing teams of data scientists to produce project deliverables. This will include processing, cleansing, and verifying the integrity of data for analysis, as well as data mining and performing exploratory data analysis using state-of-the-art methods. You will also be involved in selecting features, building, and optimizing classifiers/regressors using machine learning and deep learning techniques, enhancing data collection procedures, conducting ad-hoc analysis, and presenting results in a clear manner. Additionally, you will follow and help improve Analytics-Delivery procedures using detailed documentation, create custom reports and presentations with strong data visualization and storytelling, and present analytical conclusions to senior officials and other stakeholders. To be successful in this role, you should have a minimum of 4 years of relevant experience and hold a degree in Engineering (B.E/B.Tech) or other related fields such as Mathematics, Statistics, Operational Research, Computer Science & Applications. You should have experience in data management and visualization tasks, as well as familiarity with common data science toolkits and frameworks. Furthermore, you should possess excellent understanding and hands-on experience in Natural Language Processing (NLP) and computer vision, and be proficient in building deep-learning models for text and image analytics using frameworks like Tensorflow, PyTorch, etc. Experience with large-scale datasets, deployment of models in production, and exposure to tools like Hadoop and PySpark will be advantageous. Working at Capgemini Invent, you will have the opportunity to enjoy flexible work arrangements, career growth programs, and valuable certifications in the latest technologies like Generative AI. Capgemini is a global business and technology transformation partner with a strong heritage of over 55 years, trusted by clients to deliver end-to-end services and solutions in AI, cloud, data, and more, with a focus on creating tangible impact for enterprises and society. Join us at Capgemini Invent to be a part of a diverse team of professionals working towards accelerating the dual transition to a digital and sustainable world while unlocking the value of technology to meet the evolving business needs of our clients.,

Job Description At American Express, our culture is built on a 175-year history of innovation, sharedand Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role This Position is in GSG Advanced Analytics team as part of GSG MIS COE, is looking for full time candidates as Data Science Analysts. The Advanced Analytics team works across multiple Data Science/Machine Learning portfolio of projects across GSG organization across multiple areas of Servicing. Understand the overall business perspective and help conceptualize the business problem into a Data Science/ML roadmap Have a research bend of mind and read/engage/apply new techniques and algorithms in the field to generate efficiencies/process improvements. Rigorous testing of algorithms as per business norms and delivering significant working leverage over status quo and generate value for the business. Capability of writing, debugging and compiling codes in multiple Machine Learning environment and understanding of Python stack is necessary Research focus on problem solving through NLP(Natural Language Processing) is critical. Clear application on performance testing and validation framework of machine learning models Understand and deploy mathematical foundations of cutting edge NLP techniques on varied sources of data Willingness to derive insights from terabyte sized data and capability to design scalable solutions is paramount Minimum Qualifications Proven experience of applying using Machine Learning techniques like Regression, Classification, Supervised or Unsupervised Recommenders, Deep Learning etc. Ability to work in cross functional teams Excellent data wrangling and visualization skills Hands on knowledge of SQL is expected A research mindset with a zeal to experiment new algorithms is expected Preferred Qualifications: Master's in a quantitative field (e.g., Finance, Engineering, Mathematics, Statistics Computer Science or Economics) from a top institute. A set of high impact research papers on applied NLP/ Deep Learning/ GenAI Prior experience working with Transformers/LSTMs/CNNs preferred Working knowledge of finetuning Large Language Models(LLMs) is a plus Deep knowledge of Statistics and Mathematics and ability to dissect problems from the first principle. Exposure to fields like Linear Algebra, Bayesian Statistics, Group theory is desirable Complete grip on Python environment and libraries (pandas, numpy, nltk, statsmodels, gensim, pyspark, spacy, transformers), Deep learning expertise is preferred and any of Tensorflow/Torch is preferred. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? This Position is in GSG Advanced Analytics team as part of GSG MIS COE, is looking for full time candidates as Data Science Analysts. The Advanced Analytics team works across multiple Data Science/Machine Learning portfolio of projects across GSG organization across multiple areas of Servicing. Understand the overall business perspective and help conceptualize the business problem into a Data Science/ML roadmap Have a research bend of mind and read/engage/apply new techniques and algorithms in the field to generate efficiencies/process improvements. Rigorous testing of algorithms as per business norms and delivering significant working leverage over status quo and generate value for the business. Capability of writing, debugging and compiling codes in multiple Machine Learning environment and understanding of Python stack is necessary Research focus on problem solving through NLP(Natural Language Processing) is critical. Clear application on performance testing and validation framework of machine learning models Understand and deploy mathematical foundations of cutting edge NLP techniques on varied sources of data Willingness to derive insights from terabyte sized data and capability to design scalable solutions is paramount Minimum Qualifications Proven experience of applying using Machine Learning techniques like Regression, Classification, Supervised or Unsupervised Recommenders, Deep Learning etc. Ability to work in cross functional teams Excellent data wrangling and visualization skills Hands on knowledge of SQL is expected A research mindset with a zeal to experiment new algorithms is expected Preferred Qualifications: Master’s in a quantitative field (e.g., Finance, Engineering, Mathematics, Statistics Computer Science or Economics) from a top institute. A set of high impact research papers on applied NLP/ Deep Learning/ GenAI Prior experience working with Transformers/LSTMs/CNNs preferred Working knowledge of finetuning Large Language Models(LLMs) is a plus Deep knowledge of Statistics and Mathematics and ability to dissect problems from the first principle. Exposure to fields like Linear Algebra, Bayesian Statistics, Group theory is desirable Complete grip on Python environment and libraries (pandas, numpy, nltk, statsmodels, gensim, pyspark, spacy, transformers), Deep learning expertise is preferred and any of Tensorflow/Torch is preferred. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? This Position is in GSG Advanced Analytics team as part of GSG MIS COE, is looking for full time candidates as Data Science Analysts. The Advanced Analytics team works across multiple Data Science/Machine Learning portfolio of projects across GSG organization across multiple areas of Servicing. Understand the overall business perspective and help conceptualize the business problem into a Data Science/ML roadmap Have a research bend of mind and read/engage/apply new techniques and algorithms in the field to generate efficiencies/process improvements. Rigorous testing of algorithms as per business norms and delivering significant working leverage over status quo and generate value for the business. Capability of writing, debugging and compiling codes in multiple Machine Learning environment and understanding of Python stack is necessary Research focus on problem solving through NLP(Natural Language Processing) is critical. Clear application on performance testing and validation framework of machine learning models Understand and deploy mathematical foundations of cutting edge NLP techniques on varied sources of data Willingness to derive insights from terabyte sized data and capability to design scalable solutions is paramount Minimum Qualifications Proven experience of applying using Machine Learning techniques like Regression, Classification, Supervised or Unsupervised Recommenders, Deep Learning etc. Ability to work in cross functional teams Excellent data wrangling and visualization skills Hands on knowledge of SQL is expected A research mindset with a zeal to experiment new algorithms is expected Preferred Qualifications: Master’s in a quantitative field (e.g., Finance, Engineering, Mathematics, Statistics Computer Science or Economics) from a top institute. A set of high impact research papers on applied NLP/ Deep Learning/ GenAI Prior experience working with Transformers/LSTMs/CNNs preferred Working knowledge of finetuning Large Language Models(LLMs) is a plus Deep knowledge of Statistics and Mathematics and ability to dissect problems from the first principle. Exposure to fields like Linear Algebra, Bayesian Statistics, Group theory is desirable Complete grip on Python environment and libraries (pandas, numpy, nltk, statsmodels, gensim, pyspark, spacy, transformers), Deep learning expertise is preferred and any of Tensorflow/Torch is preferred. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

About DataNimbus At DataNimbus, we are on a mission to redefine how organizations leverage Data and AI to drive growth, innovation, and efficiency. Our pioneering products, such as DataNimbus Designer (a cloud-native ETL designer), datanimbus.io (a comprehensive data and integration platform), FinHub.ai (payment modernization platform) empower businesses to simplify complex workflows, adopt cutting-edge technology, and achieve sustainable scalability. With headquarters in the U.S. and offices in India and Canada, DataNimbus operates globally, fostering a culture of responsible innovation, adaptability, and customer-centricity . We pride ourselves on being a trusted partner for customers navigating the complexities of Data+AI and payment modernization. Why Join DataNimbus? At DataNimbus, we believe in shaping a sustainable, AI-driven future while offering an environment that prioritizes learning, innovation, and growth . Our core values—Customer-Centricity, Simplicity, Curiosity, Responsibility, and Adaptability—are the foundation of our workplace, ensuring every team member can make a meaningful impact. Joining DataNimbus means being part of a dynamic team where you can: Work with cutting-edge technologies and revolutionize workflows in Data+AI solutions. Contribute to solutions that are trusted by global businesses for their scalability, security, and efficiency. Grow personally and professionally in a culture that values curiosity and continuous learning. If you're passionate about innovation, ready to solve complex challenges with simplicity, and eager to make a difference, DataNimbus is the place for you. Key Responsibilities: Build and increase customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domains Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation Advise data teams on several data science such as architecture, tooling, and best practices Provide technical mentorship to the larger ML Subject Matter Expert community. Required Qualifications: 5-8 years of hands-on industry data science experience, using typical machine learning and data science tools including pandas, mlflow, scikit-learn, gensim, nltk, and TensorFlow/PyTorch Experience building production-grade machine learning deployments on AWS, Azure, or GCP including drift monitoring Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience Experience communicating and teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving value through ML [Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets [Preferred] Experience working with the Databricks platform [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role Can meet expectations for technical training and role-specific outcomes within 3 months of hire Interested? Send in your CV to careers@datanimbus.com ASAP!

Job Description Role: Sr. Machine Learning Engineer/Lead Location: Hyderabad,INDIA [Hybrid] About Company: Auditoria.AI is the leader in agentic AI solutions for corporate finance that automate business processes to accelerate finance operations and cash performance. Auditoria.AI executes mundane tasks while automating complex business functions in the Office of the CFO, redefining enterprise AI by combining its proprietary specialized language model with multi-model support for leading large language models (LLMs) in production. Auditoria.AI seamlessly integrates GPTs from OpenAI, Azure, LLaMa, and Google Gemini, ensuring finance teams are served best-in-class generative AI capabilities. Auditoria.AI’s agentic AI, called SmartBots, integrates with systems of record and accounting inboxes to optimize vendor management, streamline collections, add controls to procurement spend, accelerate data extraction, and automatically handle finance inbox inquiries. Corporate finance and accounting teams at leading companies such as Rocket Companies, RingCentral, Truist Insurance Holdings, Match Group, Ochsner Health System, Stock X, Denny’s, Blackbaud, Memorial Sloan Kettering Hospitals, and Iowa State University use Auditoria to accelerate business value while minimizing heavy IT involvement, improving business resilience, lowering attrition, and accelerating business insights for finance teams. Founded in 2019, we recently raised our Series B fundraise, led by Innovius Capital along with participation from Dell Technologies Capital, Sentinel Global, and existing investors including Venrock, NeoTribe Ventures, Engineering Capital, Workday Ventures, and KPMG Ventures. Awards and Recognition Q4 2024 AIconics Award Auditoria made the shortlist for the Solutions Provider of the Year Award which recognizes AI solutions providers who have had an exceptional year. Q2 2024 Constellation ShortList™ for AI-Driven Cognitive Applications for the fifth year in a row. Gartner Emerging Tech Impact Radar: Artificial Intelligence Report 2024 named Auditoria as a sample vendor for Composite AI. In 2024, Auditoria was named a sample vendor for intelligent applications in finance in the Hype Cycle for Autonomous Accounting, 2024, the Hype Cycle for Finance AI and Advanced Analytics, 2024, and the Hype Cycle for the Future of Enterprise Applications, 2024 reports. Q3 2023 The Channel Co. CRN Tech Innovators Award Finalist 2023 SSON Impact Awards Technology of the Year Finalist 2023 Best SaaS for Improved Productivity Finalist 2022 Gartner Cool Vendor in Finance 2022 AI Breakthrough Awards Best Robotic Process Automaton Q1 2021 The Channel Co. CRN Emerging Vendors Automation Job Description 2021 SSON Impact AwardsWinner Technology of the Year 2021Constellation’s The Pitch Winner Responsibilities: Looking for strong candidates with a passion for participating in Auditoria’s mission. Areas of Responsibilities (subject To Change Over Time): Developing and managing data pipelines for ML and analytics. Effectively analyze and resolve engineering issues as they arise. Implementing ML algorithms to classify textual categorization and information extraction. Writing containerized microservices for serving the model in a production environment. Writing unit tests alongside development. Skills Sets: Must-haves ○ Python programming expertise: data structures, OOP, recursions, generators, iterators, decorators, familiarity with regular expressions. ○ Working knowledge and experience with deep learning framework Pytorch or Tensorflow. Embedding representations. ○ Familiarity with SQL database interactions. ○ Familiarity with Elasticsearch document indexing, querying. ○ Familiarity with Docker, Dockerfile. ○ Familiarity with REST API, JSON structure. Python packages like FastAPI. ○ Familiarity with git operations. ○ Familiarity with shell scripting. ○ Familiarity with PyCharm for development, debugging, profiling. ○ Experience with Kubernetes. Desired ○ NLP toolkits like NLTK, spaCy, Gensim, scikit-learn. Familiarity with basic natural language concepts, handling. Tokenization, lemmatization, stemming, edit distances, named entity recognition, syntactic parsing, etc. ○ Good knowledge and experience with deep learning framework Pytorch or Tensorflow. ○ More complex operations with Elasticsearch. Creating indices, indexable fields, etc. ○ Good experience with KubernetesSkills: React JS,JS

Job Description Role: Sr. Machine Learning Engineer/Lead Location: Hyderabad,INDIA [Hybrid] About Company: Auditoria.AI is the leader in agentic AI solutions for corporate finance that automate business processes to accelerate finance operations and cash performance. Auditoria.AI executes mundane tasks while automating complex business functions in the Office of the CFO, redefining enterprise AI by combining its proprietary specialized language model with multi-model support for leading large language models (LLMs) in production. Auditoria.AI seamlessly integrates GPTs from OpenAI, Azure, LLaMa, and Google Gemini, ensuring finance teams are served best-in-class generative AI capabilities. Auditoria.AI’s agentic AI, called SmartBots, integrates with systems of record and accounting inboxes to optimize vendor management, streamline collections, add controls to procurement spend, accelerate data extraction, and automatically handle finance inbox inquiries. Corporate finance and accounting teams at leading companies such as Rocket Companies, RingCentral, Truist Insurance Holdings, Match Group, Ochsner Health System, Stock X, Denny’s, Blackbaud, Memorial Sloan Kettering Hospitals, and Iowa State University use Auditoria to accelerate business value while minimizing heavy IT involvement, improving business resilience, lowering attrition, and accelerating business insights for finance teams. Founded in 2019, we recently raised our Series B fundraise, led by Innovius Capital along with participation from Dell Technologies Capital, Sentinel Global, and existing investors including Venrock, NeoTribe Ventures, Engineering Capital, Workday Ventures, and KPMG Ventures. Awards and Recognition Q4 2024 AIconics Award Auditoria made the shortlist for the Solutions Provider of the Year Award which recognizes AI solutions providers who have had an exceptional year. Q2 2024 Constellation ShortList™ for AI-Driven Cognitive Applications for the fifth year in a row. Gartner Emerging Tech Impact Radar: Artificial Intelligence Report 2024 named Auditoria as a sample vendor for Composite AI. In 2024, Auditoria was named a sample vendor for intelligent applications in finance in the Hype Cycle for Autonomous Accounting, 2024, the Hype Cycle for Finance AI and Advanced Analytics, 2024, and the Hype Cycle for the Future of Enterprise Applications, 2024 reports. Q3 2023 The Channel Co. CRN Tech Innovators Award Finalist 2023 SSON Impact Awards Technology of the Year Finalist 2023 Best SaaS for Improved Productivity Finalist 2022 Gartner Cool Vendor in Finance 2022 AI Breakthrough Awards Best Robotic Process Automaton Q1 2021 The Channel Co. CRN Emerging Vendors Automation Job Description 2021 SSON Impact AwardsWinner Technology of the Year 2021Constellation’s The Pitch Winner Responsibilities: Looking for strong candidates with a passion for participating in Auditoria’s mission. Areas of Responsibilities (subject To Change Over Time): Developing and managing data pipelines for ML and analytics. Effectively analyze and resolve engineering issues as they arise. Implementing ML algorithms to classify textual categorization and information extraction. Writing containerized microservices for serving the model in a production environment. Writing unit tests alongside development. Skills Sets: Must-haves ○ Python programming expertise: data structures, OOP, recursions, generators, iterators, decorators, familiarity with regular expressions. ○ Working knowledge and experience with deep learning framework Pytorch or Tensorflow. Embedding representations. ○ Familiarity with SQL database interactions. ○ Familiarity with Elasticsearch document indexing, querying. ○ Familiarity with Docker, Dockerfile. ○ Familiarity with REST API, JSON structure. Python packages like FastAPI. ○ Familiarity with git operations. ○ Familiarity with shell scripting. ○ Familiarity with PyCharm for development, debugging, profiling. ○ Experience with Kubernetes. Desired ○ NLP toolkits like NLTK, spaCy, Gensim, scikit-learn. Familiarity with basic natural language concepts, handling. Tokenization, lemmatization, stemming, edit distances, named entity recognition, syntactic parsing, etc. ○ Good knowledge and experience with deep learning framework Pytorch or Tensorflow. ○ More complex operations with Elasticsearch. Creating indices, indexable fields, etc. ○ Good experience with KubernetesSkills: React JS,JS

Job Description Role: Sr. Machine Learning Engineer/Lead Location: Hyderabad,INDIA [Hybrid] About Company: Auditoria.AI is the leader in agentic AI solutions for corporate finance that automate business processes to accelerate finance operations and cash performance. Auditoria.AI executes mundane tasks while automating complex business functions in the Office of the CFO, redefining enterprise AI by combining its proprietary specialized language model with multi-model support for leading large language models (LLMs) in production. Auditoria.AI seamlessly integrates GPTs from OpenAI, Azure, LLaMa, and Google Gemini, ensuring finance teams are served best-in-class generative AI capabilities. Auditoria.AI’s agentic AI, called SmartBots, integrates with systems of record and accounting inboxes to optimize vendor management, streamline collections, add controls to procurement spend, accelerate data extraction, and automatically handle finance inbox inquiries. Corporate finance and accounting teams at leading companies such as Rocket Companies, RingCentral, Truist Insurance Holdings, Match Group, Ochsner Health System, Stock X, Denny’s, Blackbaud, Memorial Sloan Kettering Hospitals, and Iowa State University use Auditoria to accelerate business value while minimizing heavy IT involvement, improving business resilience, lowering attrition, and accelerating business insights for finance teams. Founded in 2019, we recently raised our Series B fundraise, led by Innovius Capital along with participation from Dell Technologies Capital, Sentinel Global, and existing investors including Venrock, NeoTribe Ventures, Engineering Capital, Workday Ventures, and KPMG Ventures. Awards and Recognition Q4 2024 AIconics Award Auditoria made the shortlist for the Solutions Provider of the Year Award which recognizes AI solutions providers who have had an exceptional year. Q2 2024 Constellation ShortList™ for AI-Driven Cognitive Applications for the fifth year in a row. Gartner Emerging Tech Impact Radar: Artificial Intelligence Report 2024 named Auditoria as a sample vendor for Composite AI. In 2024, Auditoria was named a sample vendor for intelligent applications in finance in the Hype Cycle for Autonomous Accounting, 2024, the Hype Cycle for Finance AI and Advanced Analytics, 2024, and the Hype Cycle for the Future of Enterprise Applications, 2024 reports. Q3 2023 The Channel Co. CRN Tech Innovators Award Finalist 2023 SSON Impact Awards Technology of the Year Finalist 2023 Best SaaS for Improved Productivity Finalist 2022 Gartner Cool Vendor in Finance 2022 AI Breakthrough Awards Best Robotic Process Automaton Q1 2021 The Channel Co. CRN Emerging Vendors Automation Job Description 2021 SSON Impact AwardsWinner Technology of the Year 2021Constellation’s The Pitch Winner Responsibilities: Looking for strong candidates with a passion for participating in Auditoria’s mission. Areas of Responsibilities (subject To Change Over Time): Developing and managing data pipelines for ML and analytics. Effectively analyze and resolve engineering issues as they arise. Implementing ML algorithms to classify textual categorization and information extraction. Writing containerized microservices for serving the model in a production environment. Writing unit tests alongside development. Skills Sets: Must-haves ○ Python programming expertise: data structures, OOP, recursions, generators, iterators, decorators, familiarity with regular expressions. ○ Working knowledge and experience with deep learning framework Pytorch or Tensorflow. Embedding representations. ○ Familiarity with SQL database interactions. ○ Familiarity with Elasticsearch document indexing, querying. ○ Familiarity with Docker, Dockerfile. ○ Familiarity with REST API, JSON structure. Python packages like FastAPI. ○ Familiarity with git operations. ○ Familiarity with shell scripting. ○ Familiarity with PyCharm for development, debugging, profiling. ○ Experience with Kubernetes. Desired ○ NLP toolkits like NLTK, spaCy, Gensim, scikit-learn. Familiarity with basic natural language concepts, handling. Tokenization, lemmatization, stemming, edit distances, named entity recognition, syntactic parsing, etc. ○ Good knowledge and experience with deep learning framework Pytorch or Tensorflow. ○ More complex operations with Elasticsearch. Creating indices, indexable fields, etc. ○ Good experience with KubernetesSkills: React JS,JS

Title: Senior Data Scientist (NLP) Primary Skills: Data Science, AI/ML, GenAI, LLM, NLP, Any Cloud (Azure/AWS/GCP) Roles & Responsibilities: Develop custom data models and algorithms to apply to data sets. Developing and implementing advanced machine learning models to address complex problems. Clearly communicate findings and recommendations, data-driven insights to PMs and executives. Qualifications: Bachelors/Masters degree in Computer Science, Engineering, or a related technical field with minimum 5 years' experience. Experience in performing prompt engineering and fine-tuning of the AI/ML, GenAI, LLM models. Practical hands-on fine-tuning/transfer learning/optimization of the Transformer architecture-based Deep Learning models. Experience in NLP tools such as Word2Vec, TextBlob, NLTK, SpaCy, Gensim, CoreNLP, BERT, GloVe etc. Experience in AWS / Azure / GCP cloud and deploying the APIs using the latest frameworks like FastAPI/ gRPC etc. Experience in Docker for deploying the containers. Deployment of the ML models on the Kubernetes clusters Experience in NoSQL/SQL databases. Good programming skills in Python. Domain knowledge in Online Reputation management or experience in a product-based company (added advantage). Expertise in delivering end-to-end analytical solutions covering multiple technologies & tools to multiple business problems. Interested candidates, please send their resumes to iqbal.kaur@birdeye.com Regards Iqbal kaur

Job Description Role: Sr. Machine Learning Engineer/Lead Location: Hyderabad,INDIA [Hybrid] About Company: Auditoria.AI is the leader in agentic AI solutions for corporate finance that automate business processes to accelerate finance operations and cash performance. Auditoria.AI executes mundane tasks while automating complex business functions in the Office of the CFO, redefining enterprise AI by combining its proprietary specialized language model with multi-model support for leading large language models (LLMs) in production. Auditoria.AI seamlessly integrates GPTs from OpenAI, Azure, LLaMa, and Google Gemini, ensuring finance teams are served best-in-class generative AI capabilities. Auditoria.AIs agentic AI, called SmartBots, integrates with systems of record and accounting inboxes to optimize vendor management, streamline collections, add controls to procurement spend, accelerate data extraction, and automatically handle finance inbox inquiries. Corporate finance and accounting teams at leading companies such as Rocket Companies, RingCentral, Truist Insurance Holdings, Match Group, Ochsner Health System, Stock X, Dennys, Blackbaud, Memorial Sloan Kettering Hospitals, and Iowa State University use Auditoria to accelerate business value while minimizing heavy IT involvement, improving business resilience, lowering attrition, and accelerating business insights for finance teams. Founded in 2019, we recently raised our Series B fundraise, led by Innovius Capital along with participation from Dell Technologies Capital, Sentinel Global, and existing investors including Venrock, NeoTribe Ventures, Engineering Capital, Workday Ventures, and KPMG Ventures. Awards and Recognition Q4 2024 AIconics Award Auditoria made the shortlist for the Solutions Provider of the Year Award which recognizes AI solutions providers who have had an exceptional year. Q2 2024 Constellation ShortList for AI-Driven Cognitive Applications for the fifth year in a row. Gartner Emerging Tech Impact Radar: Artificial Intelligence Report 2024 named Auditoria as a sample vendor for Composite AI. In 2024, Auditoria was named a sample vendor for intelligent applications in finance in the Hype Cycle for Autonomous Accounting, 2024, the Hype Cycle for Finance AI and Advanced Analytics, 2024, and the Hype Cycle for the Future of Enterprise Applications, 2024 reports. Q3 2023 The Channel Co. CRN Tech Innovators Award Finalist 2023 SSON Impact Awards Technology of the Year Finalist 2023 Best SaaS for Improved Productivity Finalist 2022 Gartner Cool Vendor in Finance 2022 AI Breakthrough Awards Best Robotic Process Automaton Q1 2021 The Channel Co. CRN Emerging Vendors Automation Job Description 2021 SSON Impact AwardsWinner Technology of the Year 2021Constellations The Pitch Winner Responsibilities: Looking for strong candidates with a passion for participating in Auditorias mission. Areas of Responsibilities (subject To Change Over Time): Developing and managing data pipelines for ML and analytics. Effectively analyze and resolve engineering issues as they arise. Implementing ML algorithms to classify textual categorization and information extraction. Writing containerized microservices for serving the model in a production environment. Writing unit tests alongside development. Skills Sets: Must-haves ? Python programming expertise: data structures, OOP, recursions, generators, iterators, decorators, familiarity with regular expressions. ? Working knowledge and experience with deep learning framework Pytorch or Tensorflow. Embedding representations. ? Familiarity with SQL database interactions. ? Familiarity with Elasticsearch document indexing, querying. ? Familiarity with Docker, Dockerfile. ? Familiarity with REST API, JSON structure. Python packages like FastAPI. ? Familiarity with git operations. ? Familiarity with shell scripting. ? Familiarity with PyCharm for development, debugging, profiling. ? Experience with Kubernetes. Desired ? NLP toolkits like NLTK, spaCy, Gensim, scikit-learn. Familiarity with basic natural language concepts, handling. Tokenization, lemmatization, stemming, edit distances, named entity recognition, syntactic parsing, etc. ? Good knowledge and experience with deep learning framework Pytorch or Tensorflow. ? More complex operations with Elasticsearch. Creating indices, indexable fields, etc. ? Good experience with KubernetesSkills: React JS,JS Show more Show less

Job Description Role: Sr. Machine Learning Engineer/Lead Location: Hyderabad,INDIA [Hybrid] About Company: Auditoria.AI is the leader in agentic AI solutions for corporate finance that automate business processes to accelerate finance operations and cash performance. Auditoria.AI executes mundane tasks while automating complex business functions in the Office of the CFO, redefining enterprise AI by combining its proprietary specialized language model with multi-model support for leading large language models (LLMs) in production. Auditoria.AI seamlessly integrates GPTs from OpenAI, Azure, LLaMa, and Google Gemini, ensuring finance teams are served best-in-class generative AI capabilities. Auditoria.AI’s agentic AI, called SmartBots, integrates with systems of record and accounting inboxes to optimize vendor management, streamline collections, add controls to procurement spend, accelerate data extraction, and automatically handle finance inbox inquiries. Corporate finance and accounting teams at leading companies such as Rocket Companies, RingCentral, Truist Insurance Holdings, Match Group, Ochsner Health System, Stock X, Denny’s, Blackbaud, Memorial Sloan Kettering Hospitals, and Iowa State University use Auditoria to accelerate business value while minimizing heavy IT involvement, improving business resilience, lowering attrition, and accelerating business insights for finance teams. Founded in 2019, we recently raised our Series B fundraise, led by Innovius Capital along with participation from Dell Technologies Capital, Sentinel Global, and existing investors including Venrock, NeoTribe Ventures, Engineering Capital, Workday Ventures, and KPMG Ventures. Awards and Recognition Q4 2024 AIconics Award Auditoria made the shortlist for the Solutions Provider of the Year Award which recognizes AI solutions providers who have had an exceptional year. Q2 2024 Constellation ShortList™ for AI-Driven Cognitive Applications for the fifth year in a row. Gartner Emerging Tech Impact Radar: Artificial Intelligence Report 2024 named Auditoria as a sample vendor for Composite AI. In 2024, Auditoria was named a sample vendor for intelligent applications in finance in the Hype Cycle for Autonomous Accounting, 2024, the Hype Cycle for Finance AI and Advanced Analytics, 2024, and the Hype Cycle for the Future of Enterprise Applications, 2024 reports. Q3 2023 The Channel Co. CRN Tech Innovators Award Finalist 2023 SSON Impact Awards Technology of the Year Finalist 2023 Best SaaS for Improved Productivity Finalist 2022 Gartner Cool Vendor in Finance 2022 AI Breakthrough Awards Best Robotic Process Automaton Q1 2021 The Channel Co. CRN Emerging Vendors Automation Job Description 2021 SSON Impact AwardsWinner Technology of the Year 2021Constellation’s The Pitch Winner Responsibilities: Looking for strong candidates with a passion for participating in Auditoria’s mission. Areas of Responsibilities (subject To Change Over Time): Developing and managing data pipelines for ML and analytics. Effectively analyze and resolve engineering issues as they arise. Implementing ML algorithms to classify textual categorization and information extraction. Writing containerized microservices for serving the model in a production environment. Writing unit tests alongside development. Skills Sets: Must-haves ○ Python programming expertise: data structures, OOP, recursions, generators, iterators, decorators, familiarity with regular expressions. ○ Working knowledge and experience with deep learning framework Pytorch or Tensorflow. Embedding representations. ○ Familiarity with SQL database interactions. ○ Familiarity with Elasticsearch document indexing, querying. ○ Familiarity with Docker, Dockerfile. ○ Familiarity with REST API, JSON structure. Python packages like FastAPI. ○ Familiarity with git operations. ○ Familiarity with shell scripting. ○ Familiarity with PyCharm for development, debugging, profiling. ○ Experience with Kubernetes. Desired ○ NLP toolkits like NLTK, spaCy, Gensim, scikit-learn. Familiarity with basic natural language concepts, handling. Tokenization, lemmatization, stemming, edit distances, named entity recognition, syntactic parsing, etc. ○ Good knowledge and experience with deep learning framework Pytorch or Tensorflow. ○ More complex operations with Elasticsearch. Creating indices, indexable fields, etc. ○ Good experience with KubernetesSkills: React JS,JS

About DataNimbus At DataNimbus, we are on a mission to redefine how organizations leverage Data and AI to drive growth, innovation, and efficiency. Our pioneering products, such as DataNimbus Designer (a cloud-native ETL designer), datanimbus.io (a comprehensive data and integration platform), FinHub.ai (payment modernization platform) empower businesses to simplify complex workflows, adopt cutting-edge technology, and achieve sustainable scalability. With headquarters in the U.S. and offices in India and Canada, DataNimbus operates globally, fostering a culture of responsible innovation, adaptability, and customer-centricity . We pride ourselves on being a trusted partner for customers navigating the complexities of Data+AI and payment modernization. Why Join DataNimbus? At DataNimbus, we believe in shaping a sustainable, AI-driven future while offering an environment that prioritizes learning, innovation, and growth . Our core values—Customer-Centricity, Simplicity, Curiosity, Responsibility, and Adaptability—are the foundation of our workplace, ensuring every team member can make a meaningful impact. Joining DataNimbus means being part of a dynamic team where you can: Work with cutting-edge technologies and revolutionize workflows in Data+AI solutions. Contribute to solutions that are trusted by global businesses for their scalability, security, and efficiency. Grow personally and professionally in a culture that values curiosity and continuous learning. If you're passionate about innovation, ready to solve complex challenges with simplicity, and eager to make a difference, DataNimbus is the place for you. Key Responsibilities: Build and increase customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domains Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation Advise data teams on several data science such as architecture, tooling, and best practices Provide technical mentorship to the larger ML Subject Matter Expert community. Required Qualifications: 5-8 years of hands-on industry data science experience, using typical machine learning and data science tools including pandas, mlflow, scikit-learn, gensim, nltk, and TensorFlow/PyTorch Experience building production-grade machine learning deployments on AWS, Azure, or GCP including drift monitoring Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience Experience communicating and teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving value through ML [Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets [Preferred] Experience working with the Databricks platform [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role Can meet expectations for technical training and role-specific outcomes within 3 months of hire Interested? Send in your CV to careers@datanimbus.com ASAP!

Role Description: This is a full-time remote role for a Data Scientist at Bideye. Primary Skills: Data Science, AI/ML, GenAI, LLM, NLP, Any Cloud (Azure/ AWS/GCP) Roles & Responsibilities: Develop custom data models and algorithms to apply to data sets. Developing and implementing advanced machine learning models to address complex problems. Clearly communicate findings and recommendations, data-driven insights to PMs and executives. Requirements Bachelors/Masters degree in Computer Science, Engineering, or a related technical field with minimum 1-2 years' experience. Experience in performing prompt engineering and fine-tuning of the AI/ML, GenAI, LLM models. Experience in NLP tools such as Word2Vec, TextBlob, NLTK, SpaCy, Gensim, CoreNLP, BERT, GloVe etc. Experience in AWS / Azure / GCP cloud and deploying the APIs using the latest frameworks like FastAPI/ gRPC etc. Experience in Docker for deploying the containers. Experience in NoSQL/SQL databases. Good programming skills in Python. Domain knowledge in Online Reputation management or experience in a product-based company (added advantage). Expertise in delivering end-to-end analytical solutions covering multiple technologies & tools to multiple business problems.

About DataNimbus At DataNimbus, we are on a mission to redefine how organizations leverage Data and AI to drive growth, innovation, and efficiency. Our pioneering products, such as DataNimbus Designer (a cloud-native ETL designer), datanimbus.io (a comprehensive data and integration platform), FinHub.ai (payment modernization platform) empower businesses to simplify complex workflows, adopt cutting-edge technology, and achieve sustainable scalability. With headquarters in the U.S. and offices in India and Canada, DataNimbus operates globally, fostering a culture of responsible innovation, adaptability, and customer-centricity. We pride ourselves on being a trusted partner for customers navigating the complexities of Data+AI and payment modernization. Why Join DataNimbus? At DataNimbus, We Believe In Shaping a Sustainable, AI-driven Future While Offering An Environment That Prioritizes Learning, Innovation, And Growth. Our Core ValuesCustomer-Centricity, Simplicity, Curiosity, Responsibility, And Adaptabilityare The Foundation Of Our Workplace, Ensuring Every Team Member Can Make a Meaningful Impact. Joining DataNimbus Means Being Part Of a Dynamic Team Where You Can Work with cutting-edge technologies and revolutionize workflows in Data+AI solutions. Contribute to solutions that are trusted by global businesses for their scalability, security, and efficiency. Grow personally and professionally in a culture that values curiosity and continuous learning. If you're passionate about innovation, ready to solve complex challenges with simplicity, and eager to make a difference, DataNimbus is the place for you. Key Responsibilities Build and increase customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domains Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation Advise data teams on several data science such as architecture, tooling, and best practices Provide technical mentorship to the larger ML Subject Matter Expert community. Required Qualifications 5-8 years of hands-on industry data science experience, using typical machine learning and data science tools including pandas, mlflow, scikit-learn, gensim, nltk, and TensorFlow/PyTorch Experience building production-grade machine learning deployments on AWS, Azure, or GCP including drift monitoring Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience Experience communicating and teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving value through ML [Preferred] Experience working with Apache Spark to process large-scale distributed datasets [Preferred] Experience working with the Databricks platform [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role Can meet expectations for technical training and role-specific outcomes within 3 months of hire (ref:hirist.tech)

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role 4-5 years of experiencehand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision. Good, applied statistics skills, such as distributions, statistical inference & testing, etc. in preferably in Life Sciences domain. Proficient in data mining and data cleansing techniques. Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc. Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch etc. Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised and unsupervised problems (such as k-NN, Regression, Naive Bayes, SVM, Decision Tree, Random Forests, k-means, PCA, SVD, GenAI (LLM) etc.). Good applied statistics skills, such as distributions, statistical inference & testing, etc. Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost, H2O etc. Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive, MapReduce, Pyspark etc. Your Profile Post - Graduate degree (M.E/ M.Tech/ M.Sc etc) Experience on deployment of model in production. Experience in data management and visualization task. Excellent understanding / hand-on experience in NLP and computer vision. Familiarity with database systems of SQL and NoSQL. Familiarity with data visualization tools such as Tableau, MS PowerBI etc Ability to think creatively to solve real world business problems. Critical thinking and problem solving capabilities. Data-oriented personality. Hands on experience in GenAI. Good presentation skills. Proficient in verbal and written communication. Knowledge/ hand-on experience Exposure on large scale dataset and respective tool & framework like Hadoop, Pyspark, etc. Knowledge/ hand-on experience on deployment of model in production & deployment. What You Will Love About Working Here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

About DataNimbus At DataNimbus, we are on a mission to redefine how organizations leverage Data and AI to drive growth, innovation, and efficiency. Our pioneering products, such as DataNimbus Designer (a cloud-native ETL designer), datanimbus.io (a comprehensive data and integration platform), FinHub.ai (payment modernization platform) empower businesses to simplify complex workflows, adopt cutting-edge technology, and achieve sustainable scalability. With headquarters in the U.S. and offices in India and Canada, DataNimbus operates globally, fostering a culture of responsible innovation, adaptability, and customer-centricity . We pride ourselves on being a trusted partner for customers navigating the complexities of Data+AI and payment modernization. Why Join DataNimbus? At DataNimbus, we believe in shaping a sustainable, AI-driven future while offering an environment that prioritizes learning, innovation, and growth . Our core values—Customer-Centricity, Simplicity, Curiosity, Responsibility, and Adaptability—are the foundation of our workplace, ensuring every team member can make a meaningful impact. Joining DataNimbus means being part of a dynamic team where you can: Work with cutting-edge technologies and revolutionize workflows in Data+AI solutions. Contribute to solutions that are trusted by global businesses for their scalability, security, and efficiency. Grow personally and professionally in a culture that values curiosity and continuous learning. If you're passionate about innovation, ready to solve complex challenges with simplicity, and eager to make a difference, DataNimbus is the place for you. Key Responsibilities: Build and increase customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domains Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation Advise data teams on several data science such as architecture, tooling, and best practices Provide technical mentorship to the larger ML Subject Matter Expert community. Required Qualifications: 5-8 years of hands-on industry data science experience, using typical machine learning and data science tools including pandas, mlflow, scikit-learn, gensim, nltk, and TensorFlow/PyTorch Experience building production-grade machine learning deployments on AWS, Azure, or GCP including drift monitoring Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience Experience communicating and teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving value through ML [Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets [Preferred] Experience working with the Databricks platform [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role Can meet expectations for technical training and role-specific outcomes within 3 months of hire Interested? Send in your CV to careers@datanimbus.com ASAP!

At Capgemini Invent, we believe that difference drives change. As inventive transformation consultants, we blend our strategic, creative, and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Our approach is informed and validated by science and data, superpowered by creativity and design, all underpinned by technology created with purpose. Your Role: - You should have 4-5 years of experience with hands-on experience in data science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP, and computer vision, preferably in the Life Sciences domain. - Proficiency in data mining and data cleansing techniques is required. - Excellent understanding and hands-on experience in building Deep-learning models for text & image analytics using tools such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc. - Proficient in coding in common data science languages & tools like R, Python, Go, SAS, Matlab, etc. - Experience with common data science toolkits such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch, etc. - Solid understanding and hands-on experience of data science and machine learning techniques & algorithms for supervised and unsupervised problems, such as k-NN, Regression, Naive Bayes, SVM, Decision Tree, Random Forests, k-means, PCA, SVD, GenAI (LLM), etc. - Familiarity with common data science frameworks like Tensorflow, Keras, PyTorch, XGBoost, H2O, etc. - Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive, MapReduce, Pyspark, etc. Your Profile: - You should hold a Post-Graduate degree (M.E/ M.Tech/ M.Sc, etc) with experience in deploying models in production. - Experience in data management and visualization tasks. - Excellent understanding and hands-on experience in NLP and computer vision. - Familiarity with database systems of SQL and NoSQL. - Familiarity with data visualization tools such as Tableau, MS PowerBI, etc. - Ability to think creatively to solve real-world business problems, possessing critical thinking and problem-solving capabilities. - Data-oriented personality with hands-on experience in GenAI. - Good presentation skills with proficiency in verbal and written communication. - Knowledge or hands-on experience of exposure to large-scale datasets and respective tools & frameworks like Hadoop, Pyspark, etc. - Knowledge or hands-on experience in the deployment of models in production & deployment. What You Will Love About Working Here: - We recognize the significance of flexible work arrangements to provide support, offering remote work and flexible work hours to maintain a healthy work-life balance. - Your career growth is at the heart of our mission, with an array of career growth programs and diverse professions crafted to support you in exploring a world of opportunities. - Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. With a responsible and diverse group of 340,000 team members in over 50 countries, Capgemini's strong over 55-year heritage is trusted by clients to unlock the value of technology to address the entire breadth of their business needs. The company delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by market-leading capabilities in AI, generative AI, cloud, and data, combined with deep industry expertise and a strong partner ecosystem.,