964 Keras Jobs - Page 3

. Exposure in handling Python, Java and R,Keras or PyTorch,AI tools,Asp,vb,ado,mvc,sql,css platforms, and libraries to support project requirements. . Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.). . As a Data Eng, responsibilities will include web scrapping, manage distributed data processing, and develop robust data pipelines. . As an ML Eng, responsibilities will include training,monitoring,and evaluating state -of-the-art speech models.Data Science & Machine Learning: Pandas, NumPy, Scikit-learn, TensorFlow, Keras, OpenCV, NLTK, Matplotlib Jupyter Notebook, Anaconda, Power BI, Tableau, Apache Spark (Intro) AI & Emerging Technologies: Computer Vision, NLP, Chatbot Development, Recommendation Systems OpenAI, Hugging Face Transformers, Google Vision API.

We are seeking a highly skilled Development Lead with expertise in Generative AI and Large Language models, in particular, to join our dynamic team. As a Development Lead, you will play a key role in developing cutting-edge LLM applications and systems for our clients. Your primary focus will be on driving innovation and leveraging LLMs to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of LLM apps. Job Description: Responsibilities : Develop and extend digital products and creative applications, leveraging LLM technologies at their core. Lead a product development and product operations team to further develop, enhance and extend existing digital products built on top of LLMs Lead client onboarding, client rollout, and client adoption efforts, maximizing use of the product across multiple clients Lead enhancements and extensions for client specific capabilities and requests Successful leadership and delivery of projects involving Cloud Gen-AI Platforms and Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs Ability to work with Base Foundation LLM Models, Fine Tuned LLM models, working with a variety of different LLMs and LLM APIs. Conceptualize, Design, build and develop experiences and solutions which demonstrate the minimum required functionality within tight timelines. Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions. Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Research and explore new products, platforms, and frameworks in the field of generative AI on an ongoing basis and stay on top of this very dynamic, evolving field Design and optimize Gen-AI Apps for efficient data processing and model leverage. Implement LLMOps processes, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to results evaluation. Evaluate and fine-tune models to ensure high performance and accuracy. Collaborate with engineers to develop and integrate AI solutions into existing systems. Stay up-to-date with the latest advancements in the field of Gen-AI and contribute to the company's technical knowledge base. Must-Have: Strong Expertise in Python development, and the Python Dev ecosystem, including various frameworks/libraries for front-end and back-end Python dev, data processing, API integration, and AI/ML solution development. Minimum 2 years hands-on experience in working with Large Language Models Hands-on Experience with building production solutions using a variety of different. Experience with multiple LLMs and models - including Azure OpenAI GPT model family primarily, but also Google Gemini, Anthropic Claude, etc. Deep Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI. Solid Hands-on, and Deep Experience working with RAG pipelines and Enterprise technologies and solutions / frameworks - including LangChain, Llama Index, etc. Solid Hands-on Experience with developing end-to-end RAG Pipelines. Solid Hands-on Experience with AI and LLM Workflows Experience with LLM model registries (Hugging Face), LLM APIs, embedding models, etc. Experience with vector databases (Azure AI Search, AWS Kendra, FAISS, Milvus etc.). Experience with LLM evaluation frameworks such as Ragas, and their use to evaluate / improve LLM model outputs Experience in data preprocessing, and post-processing model / results evaluation. Hands-on Experience with API Integration and orchestration across multiple platforms Good Experience with Workflow Builders and Low-Code Workflow Builder tools such as Azure Logic Apps, or n8n (Nodemation) Good Experience with Serverless Cloud Applications, including Cloud / Serverless Functions with Azure Good Experience with Automation Workflows and building Automation solutions to facilitate rapid onboarding for digital products Ability to lead design and development teams, for Full-Stack Gen-AI Apps and Products/Solutions, built on LLMs and Diffusion models. Ability to lead design and development for Creative Experiences and Campaigns, built on LLMs and Diffusion models. Nice-to-Have Skills (not essential, but useful) : Good understanding of Transformer Models and how they work. Hands-on Experience with Fine-Tuning LLM models at scale. Good Experience with Agent-driven Gen-AI architectures and solutions, and working with AI Agents. Some experience with Single-Agent and Multi-Agent Orchestration solutions Hands-on Experience with Diffusion Models and AI. Art models including SDXL, DALL-E 3, Adobe Firefly, Midjourney, is highly desirable. Hands-on Experience with Image Processing and Creative Automation at scale, using AI models. Hands-on experience with image and media transformation and adaptation at scale, using AI Art and Diffusion models. Hands-on Experience with dynamic creative use cases, using AI Art and Diffusion Models. Hands-on Experience with Fine-Tuning Diffusion models and Fine-tuning techniques such as LoRA for AI Art models as well. Hands-on Experience with AI Speech models and services, including Text-to-Speech and Speech-to-Text. Good Background and Foundation with Machine Learning solutions and algorithms Experience with designing, developing, and deploying production-grade machine learning solutions. Experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Experience with custom ML model development and deployment Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong knowledge of machine learning algorithms and their practical applications. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Hands-on Experience with Video Generation models. Hands-on Experience with 3D Generation Models. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant Show more Show less

We are seeking a highly skilled Development Lead with expertise in Generative AI and Large Language models, in particular, to join our dynamic team. As a Development Lead, you will play a key role in developing cutting-edge LLM applications and systems for our clients. Your primary focus will be on driving innovation and leveraging LLMs to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of LLM apps. Job Description: Responsibilities : Develop and extend digital products and creative applications, leveraging LLM technologies at their core. Lead a product development and product operations team to further develop, enhance and extend existing digital products built on top of LLMs Lead client onboarding, client rollout, and client adoption efforts, maximizing use of the product across multiple clients Lead enhancements and extensions for client specific capabilities and requests Successful leadership and delivery of projects involving Cloud Gen-AI Platforms and Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs Ability to work with Base Foundation LLM Models, Fine Tuned LLM models, working with a variety of different LLMs and LLM APIs. Conceptualize, Design, build and develop experiences and solutions which demonstrate the minimum required functionality within tight timelines. Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions. Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Research and explore new products, platforms, and frameworks in the field of generative AI on an ongoing basis and stay on top of this very dynamic, evolving field Design and optimize Gen-AI Apps for efficient data processing and model leverage. Implement LLMOps processes, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to results evaluation. Evaluate and fine-tune models to ensure high performance and accuracy. Collaborate with engineers to develop and integrate AI solutions into existing systems. Stay up-to-date with the latest advancements in the field of Gen-AI and contribute to the company's technical knowledge base. Must-Have: Strong Expertise in Python development, and the Python Dev ecosystem, including various frameworks/libraries for front-end and back-end Python dev, data processing, API integration, and AI/ML solution development. Minimum 2 years hands-on experience in working with Large Language Models Hands-on Experience with building production solutions using a variety of different. Experience with multiple LLMs and models - including Azure OpenAI GPT model family primarily, but also Google Gemini, Anthropic Claude, etc. Deep Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI. Solid Hands-on, and Deep Experience working with RAG pipelines and Enterprise technologies and solutions / frameworks - including LangChain, Llama Index, etc. Solid Hands-on Experience with developing end-to-end RAG Pipelines. Solid Hands-on Experience with AI and LLM Workflows Experience with LLM model registries (Hugging Face), LLM APIs, embedding models, etc. Experience with vector databases (Azure AI Search, AWS Kendra, FAISS, Milvus etc.). Experience with LLM evaluation frameworks such as Ragas, and their use to evaluate / improve LLM model outputs Experience in data preprocessing, and post-processing model / results evaluation. Hands-on Experience with API Integration and orchestration across multiple platforms Good Experience with Workflow Builders and Low-Code Workflow Builder tools such as Azure Logic Apps, or n8n (Nodemation) Good Experience with Serverless Cloud Applications, including Cloud / Serverless Functions with Azure Good Experience with Automation Workflows and building Automation solutions to facilitate rapid onboarding for digital products Ability to lead design and development teams, for Full-Stack Gen-AI Apps and Products/Solutions, built on LLMs and Diffusion models. Ability to lead design and development for Creative Experiences and Campaigns, built on LLMs and Diffusion models. Nice-to-Have Skills (not essential, but useful) : Good understanding of Transformer Models and how they work. Hands-on Experience with Fine-Tuning LLM models at scale. Good Experience with Agent-driven Gen-AI architectures and solutions, and working with AI Agents. Some experience with Single-Agent and Multi-Agent Orchestration solutions Hands-on Experience with Diffusion Models and AI. Art models including SDXL, DALL-E 3, Adobe Firefly, Midjourney, is highly desirable. Hands-on Experience with Image Processing and Creative Automation at scale, using AI models. Hands-on experience with image and media transformation and adaptation at scale, using AI Art and Diffusion models. Hands-on Experience with dynamic creative use cases, using AI Art and Diffusion Models. Hands-on Experience with Fine-Tuning Diffusion models and Fine-tuning techniques such as LoRA for AI Art models as well. Hands-on Experience with AI Speech models and services, including Text-to-Speech and Speech-to-Text. Good Background and Foundation with Machine Learning solutions and algorithms Experience with designing, developing, and deploying production-grade machine learning solutions. Experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Experience with custom ML model development and deployment Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong knowledge of machine learning algorithms and their practical applications. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Hands-on Experience with Video Generation models. Hands-on Experience with 3D Generation Models. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant Show more Show less

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Job Summary Fiche de poste : UPS Enterprise Data Analytics team is looking for a talented and motivated Data Scientist to use statistical modelling, state of the art AI tools and techniques to solve complex and large-scale business problems for UPS operations. This role would also support debugging and enhancing existing AI applications in close collaboration with the Machine Learning Operations team. This position will work with multiple stakeholders across different levels of the organization to understand the business problem, develop and help implement robust and scalable solutions. You will be in a high visibility position with the opportunity to interact with the senior leadership to bring forth innovation within the operational space for UPS. Success in this role requires excellent communication to be able to present your cutting-edge solutions to both technical and business leaderships. Responsibilities Become a subject matter expert on UPS business processes and data to help define and solve business needs using data, advanced statistical methods and AI Be actively involved in understanding and converting business use cases to technical requirements for modelling. Query, analyze and extract insights from large-scale structured and unstructured data from different data sources utilizing different platforms, methods and tools like BigQuery, Google Cloud Storage, etc. Understand and apply appropriate methods for cleaning and transforming data, engineering relevant features to be used for modelling. Actively drive modelling of business problem into ML/AI models, work closely with the stakeholders for model evaluation and acceptance. Work closely with the MLOps team to productionize new models, support enhancements and resolving any issues within existing production AI applications. Prepare extensive technical documentation, dashboards and presentations for technical and business stakeholders including leadership teams. Qualifications Expertise in Python, SQL. Experienced in using data science-based packages like scikit-learn, numpy, pandas, tensorflow, keras, statsmodels, etc. Strong understanding of statistical concepts and methods (like hypothesis testing, descriptive stats, etc.), machine learning techniques for regression, classification, clustering problems, including neural networks and deep learning. Proficient in using GCP tools like Vertex AI, BigQuery, GCS, etc. for model development and other activities in the ML lifecycle. Strong ownership and collaborative qualities in the relevant domain. Takes initiative to identify and drive opportunities for improvement and process streamline. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications NLP, Gen AI, LLM knowledge/experience Knowledge of Operations Research methodologies and experience with packages like CPLEX, PULP, etc. Knowledge and experience in MLOps principles and tools in GCP. Experience working in an Agile environment, understanding of Lean Agile principles. Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary: UPS Enterprise Data Analytics team is looking for a talented and motivated Data Scientist to use statistical modelling, state of the art AI tools and techniques to solve complex and large-scale business problems for UPS operations. This role would also support debugging and enhancing existing AI applications in close collaboration with the Machine Learning Operations team. This position will work with multiple stakeholders across different levels of the organization to understand the business problem, develop and help implement robust and scalable solutions. You will be in a high visibility position with the opportunity to interact with the senior leadership to bring forth innovation within the operational space for UPS. Success in this role requires excellent communication to be able to present your cutting-edge solutions to both technical and business leaderships. Responsibilities Become a subject matter expert on UPS business processes and data to help define and solve business needs using data, advanced statistical methods and AI Be actively involved in understanding and converting business use cases to technical requirements for modelling. Query, analyze and extract insights from large-scale structured and unstructured data from different data sources utilizing different platforms, methods and tools like BigQuery, Google Cloud Storage, etc. Understand and apply appropriate methods for cleaning and transforming data, engineering relevant features to be used for modelling. Actively drive modelling of business problem into ML/AI models, work closely with the stakeholders for model evaluation and acceptance. Work closely with the MLOps team to productionize new models, support enhancements and resolving any issues within existing production AI applications. Prepare extensive technical documentation, dashboards and presentations for technical and business stakeholders including leadership teams. Qualifications Expertise in Python, SQL. Experienced in using data science-based packages like scikit-learn, numpy, pandas, tensorflow, keras, statsmodels, etc. Strong understanding of statistical concepts and methods (like hypothesis testing, descriptive stats, etc.), machine learning techniques for regression, classification, clustering problems, including neural networks and deep learning. Proficient in using GCP tools like Vertex AI, BigQuery, GCS, etc. for model development and other activities in the ML lifecycle. Strong ownership and collaborative qualities in the relevant domain. Takes initiative to identify and drive opportunities for improvement and process streamline. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications NLP, Gen AI, LLM knowledge/experience Knowledge of Operations Research methodologies and experience with packages like CPLEX, PULP, etc. Knowledge and experience in MLOps principles and tools in GCP. Experience working in an Agile environment, understanding of Lean Agile principles. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary: UPS Enterprise Data Analytics team is looking for a talented and motivated Data Scientist to use statistical modelling, state of the art AI tools and techniques to solve complex and large-scale business problems for UPS operations. This role would also support debugging and enhancing existing AI applications in close collaboration with the Machine Learning Operations team. This position will work with multiple stakeholders across different levels of the organization to understand the business problem, develop and help implement robust and scalable solutions. You will be in a high visibility position with the opportunity to interact with the senior leadership to bring forth innovation within the operational space for UPS. Success in this role requires excellent communication to be able to present your cutting-edge solutions to both technical and business leaderships. Responsibilities Become a subject matter expert on UPS business processes and data to help define and solve business needs using data, advanced statistical methods and AI Be actively involved in understanding and converting business use cases to technical requirements for modelling. Query, analyze and extract insights from large-scale structured and unstructured data from different data sources utilizing different platforms, methods and tools like BigQuery, Google Cloud Storage, etc. Understand and apply appropriate methods for cleaning and transforming data, engineering relevant features to be used for modelling. Actively drive modelling of business problem into ML/AI models, work closely with the stakeholders for model evaluation and acceptance. Work closely with the MLOps team to productionize new models, support enhancements and resolving any issues within existing production AI applications. Prepare extensive technical documentation, dashboards and presentations for technical and business stakeholders including leadership teams. Qualifications Expertise in Python, SQL. Experienced in using data science-based packages like scikit-learn, numpy, pandas, tensorflow, keras, statsmodels, etc. Strong understanding of statistical concepts and methods (like hypothesis testing, descriptive stats, etc.), machine learning techniques for regression, classification, clustering problems, including neural networks and deep learning. Proficient in using GCP tools like Vertex AI, BigQuery, GCS, etc. for model development and other activities in the ML lifecycle. Strong ownership and collaborative qualities in the relevant domain. Takes initiative to identify and drive opportunities for improvement and process streamline. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications NLP, Gen AI, LLM knowledge/experience Knowledge of Operations Research methodologies and experience with packages like CPLEX, PULP, etc. Knowledge and experience in MLOps principles and tools in GCP. Experience working in an Agile environment, understanding of Lean Agile principles. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

We are currently hiring with one of the top Healthcare Tech Industry for AIML Software Engineering role at Noida Location Looking for candidates from Top Product companies and Product Engineering background Job Description As an AI/ML Software Engineer, you will contribute towards the development and execution of the vision for enabling solutions. You will utilize your software engineering skills to ensure technical tasks and properly detailed, designed and executed per existing standards. You are expected to participate in low level design activities and breaking down into smaller technical tasks and mentor juniors in execution. Responsibilities Contribute code towards software development of the AI Studio Enterprise Platform. Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. Use software engineering best practices to ensure a high standard of quality for all of the team’s deliverables. Write high quality distributed system software. Decompose complex problems into simple, straight-forward solutions Should be flexible, adapting to meet the needs of the team, project, or product. Solicit differing views and are willing to change your mind as you learn more. Required Qualifications Bachelor's degree in computer science or related field. 3+ years industry experience as a Software Engineer, Software Developer, or AI/ML Engineer. 3+ years of experience with demonstrable proficiency in programming languages such as Python or Java. 3+ years of experience working across the full software development life cycle exhibiting high quality of work e.g. via coding standards, code reviews, source control management, build process, testing, and operations. 1+ years of experience with AI/ML concepts and knowledge of CI/CD and MLOps practices. 1+ years of experience with cloud platforms and services (Azure, AWS, GCP, etc.) 1+ years of experience with design activities (architecture, design patterns, reliability, and scaling). Ability to work collaboratively in a team environment and contribute to a positive work culture. Preferred Qualifications Exposure to DevOps practices, including CI/CD, containerization (Docker, Kubernetes), and infrastructure as code. Higher-level understanding of AI/ML use-cases and production implementation. Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras; or distributed computing frameworks such as Apache Spark. Show more Show less

About the job HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel. In this this position you will part of HERE’s Places Ingestion team, which is responsible for discovering Points Of Interest (Places) by processing large volumes of raw data from a variety of sources to improve the content coverage, accuracy, and freshness. You will be part of an energetic and dedicated team that works on challenging tasks in distributed processing of large data & streaming technologies. In addition to the technical challenges this position offers, you will have every opportunity to expand your career both technically and personally in this role. Whats the role: You will help design and build the next iteration of processes to improve quality of Place attributes employing machine learning. You will maintain up-to-date knowledge of research activities in the general fields of machine learning and LLMs. Utilize machine learning algorithms/LLMs to generate translation/transliterations, standardization/derivation rules, extract place attributes such as name, address, category and hours of operations from web sites using web scraping solutions. Participate in both algorithm and software developments as a part of a scrum team, and contribute artifacts (software, white-paper, datasets) for project reviews and demos. Collaborate with internal and external team members (researchers and engineers) on expertly implementing the new features to the products or enhancing the existing features. With end-to-tend aspects like developing, testing, and deploying. Who Are you? You are determined and have the following to be successful in the role: MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, Data Science, or others with an emphasis or thesis work on one or more of the following areas: statistics/science/engineering, data analysis, machine learning, LLMs 3+ years of experience in Data Science field. Proficient with at least one of the deep learning frameworks like Tensorflow, Keras and Pytorch. Programming experience with Python, shell script Applied statistics or experimentation (i.e. A/B testing, root cause analysis, etc) Unsupervised Machine learning methods (i.e. clustering, Bayesian, etc) HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics Show more Show less

Hyderabad, Telangana | Full Time Apply Now Neudesic is currently seeking Senior Data Scientists. This role requires the perfect mix of being a brilliant technologist and also a deep appreciation for how technology drives business value. You will have broad and deep technology knowledge and the ability to architect solutions by mapping client business problems to end-to-end technology solutions. Demonstrated ability to engage senior level technology decision makers in data management, real-time analytics, predictive analytics and data visualization is a must. To be successful, you must exhibit strong leadership qualities necessary for building trust with clients and our technologists, with the ability to deliver ML/DL projects to successful completion. You will partner with solution architects to drive client success by providing practical guidance based on your years of experience in data management and visualization solutions. You will partner with a diverse sales unit to professionally represent Neudesic experience and ability to drive business results. In addition, you will assist in creating sales assets that clearly communicate our value proposition to technical decision makers. Experience: 6+yrs Primary Skills: Python. SQL,ML,NLP,Data models,Data Insights Strong mathematical skills to help collect, measure, organize and analyze data. Knowledge of programming languages like SQL and Python Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation. Proficiency in statistics and statistical packages like Excel to be used for data set analyzing. Knowledge of data visualization software like PowerBI is desirable. Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions. Problem-solving skills Adept at queries, writing reports, and making presentations. Team-working skills Verbal and Written communication skills Proven working experience in data analysis. Job Description 2 Expertise on a broad set of ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian Non-Parametric methods, model preparation and selection (feature engineering, PCA, model assessment), and modeling techniques (optimization, simulation) Proficiency in data analysis, modeling, and web services in Python. GPU programming experience. Natural Language Processing experience – Ontology detection/Named Entity recognition and disambiguation and Predictive Analytics experience a plus. Familiarity with existing ML stack (Azure Machine Learning, scikit-learn, Tensorflow, Keras and others) SQL/NoSQL experience Experience with Apache spark with Databricks or similar platform for crunching massive amount of data Experience in leveraging AI in the CX (Customer Experience) domain a plus: Service (Topic Analysis, Aspect based sentiment analysis, NLP in Service context), Pre-Sales (Segmentation and Propensity Models) as well as Customer Success (Sentiment analysis, Best-Agent to Route, Churn Prediction, Customer Health Score, Recommender Systems for Next Best Action) using Machine Learning and Data Science for Recurring Revenue based business models Software Development Skills Experience in SQL and development experience in at least one scripting language (Python, Perl, etc.), and one high level programming language (Java) Experience in containerized applications on cloud (Azure Kubernetes Service), cloud databases (Azure SQL), and data storage (Azure Data Lake Storage, File storage) More About Our Predictive Enterprise Service Line The digital business uses data as a competitive differentiator. The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and customer engagement. The availability of massive amounts of information, massive computing power and advancements in artificial intelligence allow the digital business to more accurately predict, plan for and capture opportunity unlike ever before. The predictive enterprise service line the evolution from using data strictly as a reporting mechanism of what’s happened to leveraging the latest in advanced analytics to predict and prescribe future business action. Our services include: Data Management Solutions: We build architectures, policies, practices and procedures that manage the full data lifecycle of an enterprise. We bring internal and exogenous datasets together to formulate new perspectives and drive to data-thinking. Self-Service Data Solutions: We create classic self-service and modern data-blending solutions that enable end-users to enrich pre-authored analytic reports by blending them with additional data sources. Real-Time Analytic Solutions: We build real-time analytics solutions on data-in-motion that eliminate the dependency on stale and static data sets resulting in the ability to immediately query and analyze diverse data sets. Machine Learning Solutions: We build machine-learning solutions that support the most complex decision support systems Neudesic is an Equal Opportunity Employer Neudesic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws. Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: https://www.ibm.com/us-en/privacy?lnk=flg-priv-usen Submit Your Application You have successfully applied You have errors in applying Apply With Resume * First Name* Middle Name Last Name* Email* Mobile Phone Candidate Location--Choose-- Bengaluru Hyderabad Kochi Other Social Network and Web Links Provide us with links to see some of your work (Git/ Dribble/ Behance/ Pinterest/ Blog/ Medium) Cover Letter Attach a file < 2 MB Show more Show less

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In Your Role, You May Be Responsible For Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Preferred Education Master's Degree Required Technical And Professional Expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred Technical And Professional Experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Show more Show less

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role We are looking for a highly skilled and motivated Data Scientist with 3+ of professional experience to join our dynamic team. The ideal candidate will excel in data analytics, working with complex datasets, and applying machine learning and deep learning techniques to solve real-world problems. If you are passionate about leveraging data to drive insights and innovation, this is the role for you. Key tasks & accountabilities Analyze and interpret complex datasets to uncover actionable insights. Design, develop, and implement machine learning and deep learning models using tools and frameworks such as Pandas, Scikit-learn, TensorFlow, Keras, PyTorch, etc. Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions. Create and maintain scalable data pipelines and workflows. Use statistical techniques to test hypotheses and validate models. Optimize machine learning algorithms for efficiency and scalability. Communicate insights and model performance to stakeholders via data visualization and presentations. Stay up-to-date with the latest advancements in data science, machine learning, and big data technologies. Qualifications, Experience, Skills Level Of Educational Attainment Required B. Tech in Computer Science, or Background in Statistics, Economics, Mathematics. Previous Work Experience & Skills Required Data Analytics: Proficiency in statistical analysis and deriving insights from data. Business Exposure: Experience in building optimization model, Marketing mix model. Machine Learning & Deep Learning Frameworks: Strong working knowledge of libraries like Pandas, Scikit-learn, TensorFlow, Keras, and PyTorch. Programming: Proficiency in Python and experience using GitHub for version control. Databases: Expertise in working with structured and unstructured data using databases. Cloud Platforms: Hands-on experience with Azure infrastructure for data storage, Azure DataBricks processing, and deployment. Data Visualization: Ability to create compelling visualizations using tools like Matplotlib, Seaborn, or Power BI. Complex Datasets: Exposure to working with large and intricate datasets in various domains. Version Control: Experience using GitHub for version control, collaboration, and managing repositories effectively And above all of this, an undying love for beer! We dream big to create future with more cheer Show more Show less

Artificial Intelligence and Machine Learning Engineering – Associate Director, Corporate Technology

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 10+ years' experience in technology roles. Must have a minimum of 5 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. #LI-SS5 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 3+ years' experience in technology roles. Must have a minimum of 1 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. #LI-SS5 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here . Learn more on how to protect yourself from fraudulent job postings here . More information about Thomson Reuters can be found on thomsonreuters.com.

Job Title: AI/ML Associate Engineer Job Type: Full-Time. Immediate Joiners Only! Location: Hyderabad Desired Experience: 1-2 years of experience in AI/ML, OR, Trained freshers (with NO experience) required to have demonstrable hands-on project exposure in AI/ML. Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Certifications in AI/ML or Data Science are a strong plus. Job Overview We are seeking a highly motivated and technically skilled Junior AI and ML Engineer/Developer to join our team in a SaaS product-based company. The role is ideal for freshers trained in AI/ML with hands-on project experience or professionals with 1-2 years of experience. The candidate will contribute to developing, implementing, and optimizing AI/ML solutions to enhance the intelligence and functionality of SaaS products. Key Responsibilities Develop and implement machine learning models, including supervised, unsupervised, and deep learning techniques. Build scalable AI/ML pipelines for tasks such as natural language processing (NLP), computer vision, recommendation systems, and predictive analytics. Work with programming languages like Python or R , leveraging AI/ML libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn . Pre-process and analyse datasets using techniques like feature engineering, scaling, and data augmentation. Deploy AI/ML models on cloud platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML ) and ensure optimal performance. Manage datasets using SQL and NoSQL databases, applying efficient data handling and querying techniques. Utilize version control tools like Git to maintain code integrity and collaboration. Collaborate with product and development teams to align AI/ML solutions with business objectives. Document technical workflows, algorithms, and experiment results for reproducibility. Stay up to date with the latest advancements in AI/ML to propose and implement innovative solutions. Key Skills Proficiency in Python or R , with experience in AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn, and Keras . Strong understanding of machine learning algorithms, NLP , and computer vision . Experience with data pre-processing techniques such as feature scaling, normalization, and handling missing data. Familiarity with cloud platforms for AI/ML deployment ( AWS, Google Cloud, Azure ). Database management skills in SQL and familiarity with NoSQL databases like MongoDB. Knowledge of version control systems like Git . Exposure to tools like Docker or Kubernetes for deploying AI/ML models in production. Strong foundation in mathematics and statistics, including linear algebra, probability, and optimization techniques. Excellent analytical and problem-solving skills, with a detail-oriented mindset. Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 1-2 years of experience in AI/ML, OR, Trained freshers required to have demonstrable hands-on project exposure in AI/ML. Certifications in AI/ML or Data Science are a strong plus. Knowledge or experience in a SaaS product-based environment is an advantage. What We Offer : Opportunity to work on cutting-edge AI/ML projects in a fast-paced SaaS environment. Collaborative and innovative workplace with mentorship and career growth opportunities. Competitive salary and benefits package.

We are looking for a highly skilled and experienced AI/ML Engineer with deep expertise in Generative AI, LLMs, small language models, AI agents, chatbots, and automation workflows. The ideal candidate will have a strong background in developing and deploying AI solutions, particularly in agentic AI tools such as Make.com, n8n, and other automation platforms. You will play a key role in building intelligent, scalable, and efficient AI-driven applications that integrate advanced AI models into real-world business use cases. Key Responsibilities: Design, develop, and deploy AI models focusing on Generative AI, LLMs, small language models, and AI agents for automation and chat-based applications. Develop and implement autonomous AI agents capable of handling real-time decision-making and workflow automation. Integrate AI solutions into products, leveraging tools like Make.com, n8n, and similar automation frameworks for seamless workflows. Optimize AI models for efficiency, scalability, and real-world application in production environments. Develop and fine-tune LLMs and small language models tailored for specific business needs. Implement AI-powered automation for customer support, process optimization, and intelligent decision-making. Collaborate with data scientists, engineers, and product managers to define AI-driven solutions that enhance business operations. Ensure high-performance AI models by implementing best practices in data processing, model training, evaluation, and deployment. Mentor junior AI engineers and contribute to knowledge sharing within the team. Stay ahead of the curve by researching emerging AI trends and evaluating their potential impact on business strategies. Required Skills and Experience Experience: 2 years of hands-on experience in AI/ML development, with a strong focus on Generative AI, LLMs, and automation workflows. Proven track record of building and deploying AI-powered chatbots, AI agents, and workflow automation tools. Technical Expertise: Strong programming skills in Python (preferred) and experience with AI/ML frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn. Experience with LLM fine-tuning, model compression, and small language models for efficiency. Familiarity with Make.com, n8n, LangChain, AutoGPT, or other agentic AI tools for automation. Strong understanding of NLP, conversational AI, and chatbot development. Experience in cloud platforms like AWS, Google Cloud, or Azure for AI model deployment. Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG) techniques. Experience with big data technologies such as Hadoop, Spark, or similar is a plus. Preferred Qualifications: Experience integrating AI models into business workflows to enhance automation and efficiency. Familiarity with API development and integrations to connect AI services with other systems. Exposure to MLOps and AI model lifecycle management. Knowledge of prompt engineering and AI model optimization techniques. Job Type: Full-time Pay: ₹35,000.00 - ₹45,000.00 per month Benefits: Provident Fund Schedule: Day shift Experience: AI/ML : 2 years (Required) Work Location: In person

Preferred Qualifications: * Certification in AI or a related field, such as Certified Data Scientist or Certified AI Engineer * Experience with other AI frameworks and technologies, such as TensorFlow, PyTorch, or Keras * Familiarity with containerization using Docker and Kubernetes * Experience with agile development methodologies and version control systems, such as Git * Strong understanding of software design patterns, principles, and best practices * Experience with DevOps practices, such as continuous integration and continuous deployment * Knowledge of cloud computing platforms, such as Azure / GCP / AWS Job Responsibilities: * Design, develop, and deploy AI models and systems using Python, Gen AI, Agentic AI, and other relevant technologies * Collaborate with cross-functional teams to identify business problems and develop AI-powered solutions * Work with large datasets to train and test AI models, and optimize their performance * Apply Prompt Engineering techniques to improve the overall performance of the AI systems * Troubleshoot and debug AI systems to ensure optimal performance and reliability * Provide technical guidance and expertise to ensure high-quality deliverables * Collaborate with the cross functional teams * Participate in code reviews and contribute to the improvement of the overall code quality Required Qualifications: * Bachelor's or Master's degree in Computer Science, Engineering, or a related field (B.E/B.Tech/M.E/M.Tech/MCA) * At least 3-5 years of experience in software development, with at least 2 years of hands on experience in Gen AI development * Strong proficiency in Python programming language * Hands on experience with LangChain, Gen AI, Agentic AI, and Prompt Engineering * Excellent problem-solving skills, with the ability to analyze complex problems and develop creative solutions * Strong communication and teamwork skills, with the ability to collaborate with cross-functional teams Keywords: LangChain, Python, Fast/Flask API, Gen AI, Agentic AI, Prompt Engineering, Machine Learning, SQL, Kafka Show more Show less

Mandatory Criteria: Valid Passport – candidate must hold a valid passport. Willingness to relocate and work onsite in a foreign country as required by the project. Location: Riyadh, Saudi Arabia Responsibilities We are seeking a highly skilled and motivated AI/ML Developer to join our dynamic team. The ideal candidate will have a strong background in machine learning, natural language processing (NLP), and deep learning, with a proven ability to develop and deploy AI/ML solutions. This role requires a deep understanding of AI/ML concepts, excellent programming skills, and the ability to work collaboratively in a fast-paced environment. Qualifications Design, develop, and implement AI/ML models and solutions. Collaborate with cross-functional teams to identify and solve complex business problems using AI/ML techniques. Develop and maintain machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment. Conduct experiments, analyze results, and iterate on models to improve performance. Stay up-to-date with the latest advancements in AI/ML, including new algorithms, techniques, and tools. Write clean, well-documented, and testable code. Deploy and monitor AI/ML models in production environments. Contribute to the development of AI/ML best practices and standards. Skills Minimum 3 years of experience in AI/ML development. Proficiency in Python and Go (Golang) programming languages. Programming Languages: Python, Go (Golang) Strong experience with machine Learning Frameworks: PyTorch, TensorFlow (optional), Keras (optional) Solid understanding of NLP concepts and techniques. Experience with data manipulation and analysis tools (e.g., Pandas, NumPy). Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus. Experience with machine learning algorithms (e.g., regression, classification, clustering, etc.). Version Control: Git Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Job Type: Full-time Pay: ₹300,000.00 - ₹700,000.00 per year Benefits: Paid sick time Paid time off Work from home Schedule: Day shift Application Question(s): Are you willing to relocate to Riyadh, Saudi Arabia? Do you have a valid passport? Do you have expertise in Python? How familiar are you in working with AI and ML on a scale of 1 to 10 Work Location: In person

As Machine Learning Engineer, you’ll be applying your expertise to help us develop a world-leading capability in this exciting and challenging domain. You will be responsible for contributing to the design, development, deployment, testing, maintenance and enhancement of ML software solutions. Primary responsibilities: 1. Applying machine learning, deep learning, and signal processing on large datasets (Audio, sensors, images, videos, text) to develop models. 2. Architecting large scale data analytics / modeling systems. 3. Designing and programming machine learning methods and integrating them into our ML framework / pipeline. 4. Work closely with data scientists/analyst to collaborate and support the development of ML data pipelines, platforms and infrastructure 5. Evaluate and validate the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science / computer science. Creation of microservices and APIs for serving ML models and ML services 7. Evaluating new machine learning methods and adopting them for our purposes. 8. Feature engineering to add new features that improve model performance. Required skills: 1. Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with 3+ years of professional work experience working on real-world applications. 2. Strong programming background, e.g. Python, Pytorch, MATLAB, C/C++, Java, and knowledge of software engineering concepts (OOP, design patterns). 3. Knowledge of machine learning libraries Tensorflow, Keras, scikit-learn, pyTorch, 4. Excellent mathematical and skills and background, e.g. accuracy, significance tests, visualization, advanced probability concepts 5. Architecting and implementing end-to-end solutions for accelerating experimentation and model building 6. Working knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) 7. Ability to perform both independent and collaborative research. 8. Excellent written and spoken communication skills. Preferred qualification and experience: B.E.\B. Tech\B.S. candidates' entries with 3+ years of experience in the aforementioned fields will be considered. M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image and signal processing, or statistics preferred. Job Types: Full-time, Permanent Pay: ₹668,717.16 - ₹1,944,863.46 per year Benefits: Flexible schedule Paid sick time Paid time off Schedule: Day shift Supplemental Pay: Yearly bonus Ability to commute/relocate: Naranpura, Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI/ML: 3 years (Required) Work Location: In person

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a dynamic and skilled Senior AIML Engineer who is passionate about solving real world problems in the healthcare domain using cutting edge capabilities and emerging technologies. As a Senior AI/ML Engineer, the candidate will be responsible for developing AI business case, solution design and collaborating with other senior leaders, stakeholders, and customers to ensure alignment, integration of AI/ML capabilities with mentoring and leading the Data Science resources for contact analytics area. The Ideal Candidate will follow advancements in the state-of-the-art methods that are relevant to the particular use case and provide recommendations for model development and experimentation. Primary Responsibilities: Lead Artificial Intelligence (AI) Engineer Design innovative AI solutions to various business problems, utilizing cutting-edge AI technologies like Generative AI, Large Language Models, RAG, Reinforcement learning, Agentic AI Communicating analytics model behavior/results to Stakeholders Carrying out technical risk analysis and reliability assessments Mentor, Guide the team of scientists, data analysts, and business stakeholders to design and deploy AI solutions Develop and demonstrate AI use-cases, conducting workshops and training sessions to foster AI adoption Take a leadership role in the data science community of experts Evaluate and implement best practices in AI/ML, data mining, and analytics Document architecture roadmaps, reference architectures, and standard operating procedures for AI solutions Required Qualifications: Bachelor’s degree in computer science, Computer Engineering, Data Science, Information Technology, or related field 8+ years of work experience with at least one of the following languages: Python, Java, and R 4+ years of experience in high-level architecture design and solution development for large-scale AI/ML systems Extensive experience with deep learning frameworks (e.g., TensorFlow, Keras, PyTorch), time series analysis, predictive modeling, and NLP Experience and knowledge of Large Language Models, RAG, Transformers Comprehensive knowledge of modern data science and product/web analytics tools and tehcniques including python and associated data science ecosystem, machine learning, Azure Machine Learning etc. Broad knowledge and understanding of advanced statistical, machine learning, and/or data mining techniques Knowledge of both traditional machine learning algorithms and modern deep learning and generative AI models and methods Knowledge of both traditional machine learning algorithms and modern deep learning and generative AI models and methods Knowledge of high-performance AI computing platforms, Linux, and shell scripting in AI computing environments Knowledge of Cloud platform supporting AI Implementation like Azure ML Studio Proficiency in Python for AI/ML; experience with graph databases, neural networks, and MLOps Proven track record in industry use cases utilizing deep and machine learning techniques Demonstrated ability to develop and manage complex projects, leading an interdisciplinary team to achieve project goals Demonstrated ability to provide mentorship and guidance for the efficient and technical development of the members of your team Demonstrated ability to develop and manage complex projects, leading an interdisciplinary team to achieve project goals Demonstrated ability to provide mentorship and guidance for the efficient and technical development of the members of your team Proven expertise in predictive analytics, machine learning, deep learning architecture, Large Language Models, RAG, and text analytics with NLP Proven exceptional communication skills to articulate technical solutions to both technical and non-technical audiences Proven strategic thinking in systems capacity planning, hardware and software updates, and migration At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Position : AI/ML Engineer Location : Nagpur ( work from Office strictly) Salary : Negotiable on current package We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Roles and Responsibilities: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Managing available resources such as hardware, data, and personnel so that deadlines are met Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Skills : Proficiency with a deep learning framework such as TensorFlow or Keras Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Expertise in visualizing and manipulating big datasets Proficiency with OpenCV Familiarity with Linux Ability to select hardware to run an ML model with the required latency Show more Show less

Role Description Role Proficiency: Independently provides expertise on data analysis techniques using software tools; streamlining business processes and managing team Outcomes Managing and designing the reporting environment including data sources security and metadata. Providing technical expertise on data storage structures data mining and data cleansing. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Synthesize both quantitative and qualitative data into insights Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Understanding business requirements and translating it into executable steps for the team members. Identify and recommend new ways to streamline business processes Illustrates data graphically and translates complex findings into written text. Locating results to help the clients make better decisions. Get feedback from clients and offer to build solutions based on the feedback. Review the team’s deliverables before sending final reports to stakeholders. Support cross-functional teams with data reports and insights on data. Training end users on new reports and dashboards. Set FAST goals and provide feedback on FAST goals of reportees Measures Of Outcomes Quality - number of review comments on codes written Accountable for data consistency and data quality. Number of medium to large custom application data models designed and implemented Illustrates data graphically and translates complex findings into written text. Number of results located to help clients make informed decisions. Attention to detail and level of accuracy. Number of business processes changed due to vital analysis. Number of Business Intelligent Dashboards developed Number of productivity standards defined for project Manage team members and review the tasks submitted by team members Number of mandatory trainings completed Outputs Expected Determine Specific Data needs: Work with departmental managers to outline the specific data needs for each business method analysis project Management And Strategy Oversees the activities of analyst personnel and ensures the efficient execution of their duties. Critical Business Insights Mines the business’s database in search of critical business insights and communicates findings to the relevant departments. Code Creates efficient and reusable SQL code meant for the improvement manipulation and analysis of data. Creates efficient and reusable code. Follows coding best practices. Create/Validate Data Models Builds statistical models; diagnoses validates and improves the performance of these models over time. Predictive Analytics Seeks to determine likely outcomes by detecting tendencies in descriptive and diagnostic analysis Prescriptive Analytics Attempts to identify what business action to take Code Versioning Organize and manage the changes and revisions to code. Use a version control tool like git bitbucket. etc. Create Reports Create reports depicting the trends and behaviours from the analysed data Document Create documentation for own work as well as perform peer review of documentation of others' work Manage Knowledge Consume and contribute to project related documents share point libraries and client universities Status Reporting Report status of tasks assigned Comply to project related reporting standards/process Skill Examples Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching. Communication Skills: Communicate effectively with a diverse population at various organization levels with the right level of detail. Critical Thinking: Data analysts must look at the numbers trends and data and come to new conclusions based on the findings. Presentation Skills - reports and oral presentations to client Strong meeting facilitation skills as well as presentation skills. Attention to Detail: Making sure to be vigilant in the analysis to come to correct conclusions. Mathematical Skills to estimate numerical data. Work in a team environment Proactively ask for and offer help Knowledge Examples Knowledge Examples Database languages such as SQL Programming language such as R or Python Analytical tools and languages such as SAS & Mahout. Proficiency in MATLAB. Data visualization software such as Tableau or Qlik or Power BI. Proficient in mathematics and calculations. Spreadsheet tools such as Microsoft Excel or Google Sheets DBMS Operating Systems and software platforms Knowledge about customer domain and also sub domain where problem is solved Additional Comments Job Description: We are looking for an experienced Python Developer with a minimum of eight years of experience in Python and its related web frameworks. Experience with machine learning stacks is a plus. Job Location: Bengaluru, India Responsibilities: Develop, test, and maintain web applications using Python and related frameworks like Flask. Write clean, maintainable, and efficient code. Troubleshoot and debug applications to ensure optimal performance. Participate in code reviews to maintain code quality and share knowledge with the team. Work on integrating machine learning models and algorithms into applications (nice to have). Requirements: Minimum of 5 years of professional experience in Python development. Strong knowledge of web frameworks like Flask. Experience with relational databases such as PostgreSQL, MySQL, or similar. Familiarity with version control systems like Git. Knowledge of software development best practices and design patterns. Excellent problem-solving skills and the ability to work independently as well as in a team. Strong communication skills and the ability to articulate technical concepts to non-technical stakeholders. Proficiency in front-end technologies like HTML, CSS, and JavaScript is a plus. Experience with machine learning stacks such as TensorFlow, Keras, or scikit-learn is a plus. Skills Python,Machine Learning Models,Flask,Postgresql Show more Show less

AI and Machine Learning Intern Company: INLIGHN TECH Location: Remote (100% Virtual) Duration: 3 Months Stipend for Top Interns: ₹15,000 Certificate Provided | Letter of Recommendation | Full-Time Offer Based on Performance About the Company: INLIGHN TECH empowers students and fresh graduates with real-world experience through hands-on, project-driven internships. The AI and Machine Learning Internship is crafted to provide practical exposure to building intelligent systems, enabling interns to bridge theoretical knowledge with real-world applications. Role Overview: As an AI and Machine Learning Intern, you will work on projects involving data preprocessing, model development, and performance evaluation. This internship will strengthen your skills in algorithm design, model optimization, and deploying AI solutions to solve real-world problems. Key Responsibilities: Collect, clean, and preprocess datasets for training machine learning models Implement machine learning algorithms for classification, regression, and clustering Develop deep learning models using frameworks like TensorFlow or PyTorch Evaluate model performance using metrics such as accuracy, precision, and recall Collaborate on AI-driven projects, such as chatbots, recommendation engines, or prediction systems Document code, methodologies, and results for reproducibility and knowledge sharing Qualifications: Pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field Strong foundation in Python and understanding of libraries such as Scikit-learn, NumPy, Pandas, and Matplotlib Familiarity with machine learning concepts like supervised and unsupervised learning Experience or interest in deep learning frameworks (TensorFlow, Keras, PyTorch) Good problem-solving skills and a passion for AI innovation Eagerness to learn and contribute to real-world ML applications Internship Benefits: Hands-on experience with real-world AI and ML projects Certificate of Internship upon successful completion Letter of Recommendation for top performers Build a strong portfolio of AI models and machine learning solutions Show more Show less

About The Job The Digital workforce team is part of Red Hat’s Data and AI organization. The team is focused on building and delivering strategic AI agents designed to augment human capabilities, accelerate workflows, and scale operations across the enterprise. We are seeking a highly experienced Senior Principal Data Scientist to lead our initiatives in natural language processing (NLP), machine learning, and data analytics. The ideal candidate will be passionate about creating and developing applications, particularly within the language sector, and have excellent analytical and machine learning knowledge. The focus of the role will be to transform natural language data and requests into creative and interactive features part of our finance & operations business. If you want to build Next generation AI/ML applications, if you have rock-solid development skills, if you thrive in a start-up like environment, if you think outside of the box and love working in a team with similar minded engineers, if you are creative and want to help solve real world customer problems and love presenting innovative solutions, if you believe in community and OpenSource development culture then we are the TEAM for you. In this role, you will be the voice of Red Hat's technical authority, creating and delivering features/ capabilities that helps Red Hat’s data community and in turn our customers achieve their business and technical goals with Red Hat products effectively. You will work collaboratively with members of the Data and AI team, finance, operations, sales, marketing, and product to construct fit for purpose analytical solutions that will be leveraged by business teams to drive proactive customer engagement. The successful candidate will have a track record of strong technical skills, drive to be innovative & creative, excellent communication and collaboration skills, a keen attention to detail, and a passion for quality and open source software. If you enjoy broadening your technical skills, and working in an environment that thrives on creativity, experimentation, and community innovation, then this is the job for you! What Will You Do Lead the research and implementation of advanced algorithms and tools for NLP/GenAI tasks. Drive the development of next-generation AI/ML applications in a highly collaborative environment. Oversee the design, implementation, and delivery of AI solutions. Ensure the successful training and evaluation of NLP models, refining them based on statistical analysis. Collaborate with cross-functional teams, including finance, operations, sales, and marketing, to understand and meet business needs. What Will You Bring 10+ years of professional experience in NLP, with a strong command of Python and frameworks such as Spacy and Hugging Face. Proven expertise in designing and delivering NLP applications across all stages of the data science lifecycle. Deep understanding of machine learning frameworks and experience in Generative AI application development. Working knowledge of TensorFlow, TensorFlow Serving, Keras, PyTorch. Comfortable working with a small team in a fast-paced, highly collaborative environment Experience with GenAI application development - LLMs, Embedding models, Vector Databases Keep up to date in the rapidly changing field of AI/ML by constantly researching and learning new techniques and information related to NLP. Bachelor’s degree or above in Computer Science, Math, Computational Linguistics, or other related fields. Demonstrated experience as an NLP, or experience in a similar role/industry Experience developing highly scalable backend microservices in AWS Personal qualities and communication Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling Communication skills and experience in interacting with cross functional business and engineering teams Capability in undertaking business needs analysis in direct consultation. Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change. Capability to develop a detailed understanding of our business requirements. Excellent communication, presentation, and writing skills About Red Hat Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply. Show more Show less

This role is for one of the Weekday's clients Min Experience: 4 years Location: Bengaluru, Pune JobType: full-time We are looking for an experienced Python Fullstack Developer with a strong foundation in backend API development and a deep understanding of AI and data science tools. The ideal candidate should be proficient in designing and maintaining scalable systems and integrating advanced AI services across various cloud platforms. Requirements Key Responsibilities: Design, develop, and maintain robust backend APIs using Python to support frontend data requirements. Leverage data science libraries and tools such as Pandas, Scikit-learn, NumPy, TensorFlow, and Keras for data analysis and machine learning model implementation. Work with AI and ML services across major cloud platforms, including: Google Cloud Platform (Vertex AI, etc.) Microsoft Azure (AI services) Amazon AWS (AI/ML services) OpenAI integration Implement MLOps practices to streamline deployment, monitoring, and management of ML models. Apply Natural Language Processing (NLP) techniques for real-world applications. Collaborate closely with cross-functional teams to deliver fullstack solutions that are performance-driven and scalable. Required Skills: Strong proficiency in Python Experience with API development and backend integration Solid knowledge of data science and ML frameworks: Pandas, Scikit-learn, NumPy, TensorFlow, Keras Familiarity with AI services across GCP, AWS, Azure, and OpenAI Experience with MLOps and NLP Ability to work collaboratively in a fast-paced development environment Show more Show less