Job Summary We are seeking a skilled and innovative Data Scientist with over 4+ years of experience to join our client's team. The ideal candidate will have a strong background in AI and Generative AI, with proficiency in Python and its relevant libraries. In this role, you will develop and implement cutting-edge machine learning models, analyse complex datasets, and collaborate with cross-functional teams to deliver data-driven solutions. Your expertise will contribute to our mission of leveraging advanced AI technologies to drive meaningful insights and advancements. Job Responsibilities Develop and implement machine learning models and algorithms, particularly in the areas of AI and Generative AI. Analyze large, complex datasets to extract actionable insights and identify trends. Monitor model performance and conduct ongoing optimization and tuning. Evaluate and deploy AI solutions, ensuring robustness, scalability, and performance. Utilize Python and other relevant tools to manipulate data and build predictive models. Communicate findings and recommendations to stakeholders through reports, presentations, and visualizations. Stay updated with the latest advancements in AI and Generative AI and incorporate them into projects. Candidate Profile Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Proven experience (4+ years) in data science, machine learning, and AI, with a focus on Generative AI. Excellent problem-solving skills and attention to detail. Strong communication skills and ability to present complex information clearly and concisely. Candidate Required Skills Strong proficiency in Python programming and its libraries, such as TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy. Experience with deep learning frameworks and neural networks. Solid understanding of machine learning algorithms and statistical methods. Ability to work with large datasets and perform data preprocessing, cleaning, and transformation. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with natural language processing (NLP) and computer vision techniques. (ref:hirist.tech) Show more Show less

Job Description We are looking for a passionate and curious AI/ML Engineer with an interest in Generative AI to join our innovative team. In this role, you will work on developing, fine-tuning, and deploying intelligent models and systems that solve real-world problems using the latest in artificial intelligence, machine learning, and large language models (LLMs). This is an excellent opportunity for early-career professionals to grow in the exciting field of AI/ML and generative AI technologies. Key Responsibilities Assist in the development, training, and evaluation of machine learning and deep learning models. Fine-tune pre-trained Large Language Models (LLMs) like GPT, BERT, LLaMA, etc., for specific use cases. Work with datasets: collection, preprocessing, augmentation, and analysis. Participate in model optimization, deployment (e.g., via APIs), and performance monitoring. Taking responsibility for driving all aspects of implementation, quality assurance, continuous integration and deployment, and application monitoring. Required Skills Strong understanding of machine learning, deep learning, and generative AI concepts. Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy. Exposure to NLP techniques and transformer models (e.g., GPT, BERT). Basic understanding of model training, evaluation metrics, and deployment pipelines. Knowledge of data preprocessing, cleaning, and visualization techniques. Strong hands-on experience in working with SQL databases. Good To Have Hands-on experience with Generative AI models (e.g., GPT, DALL-E, etc.). Familiarity with LangChain, LlamaIndex, or other LLM frameworks. Experience working with Hugging Face, OpenAI, or similar APIs. Understanding of prompt engineering and fine-tuning strategies. Exposure to MLOps tools (e.g., MLflow, Weights & Biases, DVC). Participation in AI/ML competitions (e.g., Kaggle) or contribution to open-source projects. Qualification Education : B.Tech M.Tech or MCA 1-2 years of professional or academic project experience in AI/ML. Preferably should have done some certification / courses / Formal training Solid understanding of mathematics related to data science probability, statistics, linear algebra, etc. Experience in building end-to-end ML and/or AI and/or Generative AI projects. Excellent Communication skills oral and written Should have the mindset to work in a startup culture. (ref:hirist.tech) Show more Show less

Job Title : AI/ML/NLP : : 3+ : Immediate Joiners Responsibilities : Design, develop, and optimize machine learning models specifically for Natural Language Processing (NLP) and Optical Character Recognition (OCR) use cases. Build and maintain a variety of classification and regression models utilizing libraries such as Scikit-learn and other relevant machine learning frameworks. Leverage deep learning architectures, including Convolutional Neural Networks (CNN), Region-based Convolutional Neural Networks (R-CNN), and Long Short-Term Memory networks (LSTM), for the development of advanced AI models. Work extensively with NLP libraries such as SpaCy, NLTK, and Transformers for tasks including language modeling, text processing, and information Skills : Strong and demonstrable proficiency in Python programming. Deep practical experience with core Python libraries for data science, including NumPy, Scikit-learn, and Pandas. Solid foundational background in Machine Learning principles and techniques, encompassing supervised and unsupervised learning methodologies, as well as regression to Have : Experience with major cloud platforms (AWS, Google Cloud Platform (GCP), Microsoft Azure) for the deployment of machine learning models and applications. Exposure to MLOps practices and the development of automated model deployment overview : smartData is a leader in global software business space when it comes to business consulting and technology integrations making business easier, accessible, secure and meaningful for its target segment of start-ups to small & medium enterprises. As your technology partner, we provide both domain and technology consulting and our in-house products and our unique productized service approach helps us to act as business integrators saving substantial time to market for our esteemed customers. With 8000+ projects, vast experience of 20+ years, backed by offices in the US, Australia, and India, providing next door assistance and round-the-clock connectivity, we ensure continual business growth for all our customers. Our business consulting and integrator services via software solutions focus on important industries of healthcare, B2B, B2C, & B2B2C platforms, online delivery services, video platform services, and IT services. Strong expertise in Microsoft, LAMP stack, MEAN/MERN stack with mobility first approach via native (iOS, Android, Tizen) or hybrid (React Native, Flutter, Ionic, Cordova, Phone Gap) mobility stack mixed with AI & ML help us to deliver on the ongoing needs of customers continuously. (ref:hirist.tech) Show more Show less

Position Overview We are seeking a Data Scientist with a strong background in Machine Learning, Natural Language Processing (NLP), Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will possess 1+ years of hands-on experience in developing and deploying advanced data-driven solutions. You will play a key role in our AI-CoE team, contributing to cutting-edge projects that drive innovation and business value. A special focus area for this role would be to build AI enabled products that would result in the creation of monetizable product differentiators. Detailed Job Description & Key Responsibilities Develop, Test, and Deploy machine learning models for various business and Telco use cases. Perform data preprocessing, feature engineering and ML/DL model evaluation. Optimize and fine-tune models for performance and scalability. Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT/Llama/Claude/Grok Build and refine RAG models to improve information retrieval and answer generation systems. Integrate RAG methods into existing applications to enhance data accessibility and user experience. Work closely with cross-functional teams including software engineers, product managers, and domain experts. Communicate technical concepts to non-technical stakeholders effectively. Document processes, methodologies, and model development for internal and external stakeholders. Skills Strong knowledge of probability and statistics. Working knowledge of machine learning and deep learning skills. Strong knowledge of programming knowledge - Python, SQL and commonly used frameworks & tools - PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. Excellent problem-solving skills and a proactive attitude. Strong communication and teamwork abilities. Ability to manage multiple projects and meet deadlines Interview will involve coding tests. (ref:hirist.tech) Show more Show less

Job Title : Data : Bangalore : 3+ : the Opportunity : We Are Urgently Looking For Experienced Data Engineers To Join Our Team At Hexamobile, Bangalore. Ideal Candidates Will Have a Strong Background In Python, PySpark, And ETL Processes, With Azure Cloud Experience Being a Strong Design, develop, and maintain scalable and efficient data pipelines using Python and PySpark. Build and optimize ETL (Extract, Transform, Load) processes to ingest, clean, transform, and load data from various sources into data warehouses and data lakes. Work with large and complex datasets, ensuring data quality, integrity, and reliability. Collaborate closely with data scientists, analysts, and other stakeholders to understand their data requirements and provide them with clean and well-structured data. Monitor and troubleshoot data pipelines, identifying and resolving issues to ensure continuous data flow. Implement data quality checks and validation processes to maintain high data accuracy. Develop and maintain comprehensive documentation for data pipelines, ETL processes, and data models. Optimize data systems and pipelines for performance, scalability, and cost-efficiency. Implement data security and governance policies and procedures. Stay up-to-date with the latest advancements in data engineering technologies and best practices. Work in an agile environment, participating in sprint planning, daily stand-ups, and code reviews. Contribute to the design and architecture of our data Skills : Python : Strong proficiency in Python programming, including experience with data manipulation libraries (e.g., Pandas, NumPy). PySpark : Extensive hands-on experience with Apache Spark using PySpark for large-scale data processing and distributed computing. ETL Processes : Deep understanding of ETL concepts, methodologies, and best practices. Proven experience in designing, developing, and implementing ETL pipelines. SQ L: Solid understanding of SQL and experience in querying, manipulating, and transforming data in relational databases. Understanding of Databases : Strong understanding of various database systems, including relational databases (e.g., PostgreSQL, MySQL, SQL Server) and potentially NoSQL databases. Version Control : Experience with version control systems, particularly Git, and platforms like GitHub or GitLab (i.e., working with branches and pull Preferred Skills : Azure Cloud Experience: Hands-on experience with Microsoft Azure cloud services, particularly data-related services such as : Azure Data Factory Azure Databricks Azure Blob Storage Azure SQL Database Azure Data Lake Storage Experience with data warehousing concepts and : Bachelor's degree in Computer Science, Engineering, or a related field. Minimum of 3 years of professional experience as a Data Engineer. Proven experience in building and maintaining data pipelines using Python and PySpark. Strong analytical and problem-solving skills. Good verbal and written communication skills. Ability to work effectively both independently and as part of a team. Must be available to join Points : Experience with other big data technologies (Hadoop, Hive, Kafka, Apache Airflow). Knowledge of data governance and data quality frameworks. Experience with CI/CD pipelines for data engineering workflows. Familiarity with data visualization tools (Power BI, Tableau). Experience with other cloud platforms (AWS, GCP). (ref:hirist.tech) Show more Show less

Job Description We are looking for a highly experienced Senior Data Scientist with a deep understanding of AI/ML technologies, including Recommendation Systems, Chatbots, Generative AI, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in applying these technologies to solve real-world problems, working with large datasets, and collaborating with cross-functional teams to deliver innovative data-driven solutions. Responsibilities Design, develop, and optimize recommendation systems to enhance user experience and engagement across platforms. Build and deploy chatbots with advanced NLP capabilities for automating customer interactions and improving business processes. Lead the development of Generative AI solutions, including content generation and automation. Research and apply Large Language Models (LLMs) like GPT, BERT, and others to solve business-specific problems and create innovative solutions. Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability and reliability. Perform data exploration, analysis, and feature engineering to improve model performance. Stay updated on the latest advancements in AI and ML technologies, proposing new techniques and tools to enhance our product capabilities. Mentor junior data scientists and engineers, providing guidance on best practices in AI/ML model development and deployment. Collaborate with product managers and business stakeholders to translate business goals into AI-driven solutions. Work on model interpretability, explainability, and ensure models are built in an ethical and responsible manner. Required Skills And Qualifications 5+ years of experience in data science or machine learning, with a focus on building and deploying AI models. Strong expertise in designing and developing recommendation systems and working with collaborative filtering, matrix factorization, and content-based filtering techniques. Hands-on experience with chatbots using Natural Language Processing (NLP) and conversational AI frameworks. In-depth understanding of Generative AI, including transformer-based models and GANs (Generative Adversarial Networks). Experience working with Large Language Models (LLMs) such as GPT, BERT, T5, etc. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. Strong programming skills in Python and libraries such as NumPy, Pandas, Hugging Face, and NLTK. Experience with cloud platforms like AWS, GCP, or Azure for deploying and scaling machine learning models. Solid understanding of data pipelines, ETL processes, and working with large datasets using SQL or NoSQL databases. Knowledge of MLOps and experience deploying models in production environments. Strong problem-solving skills and a deep understanding of statistical methods and algorithms. Preferred Qualifications Experience with Reinforcement Learning and Recommender Systems personalization techniques. Familiarity with ethical AI and model bias mitigation techniques. Experience with A/B testing, experimentation, and performance tracking for AI models in production. Prior experience mentoring junior data scientists and leading AI/ML projects. Strong communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders. (ref:hirist.tech) Show more Show less

Job Title : BI Engineer (Power BI Developer) Experience : 5+ Years Location : Hyderabad Job Type: Full-Time Responsibilities Design, develop, and deploy interactive and visually appealing BI dashboards and reports using Microsoft Power BI (Desktop, Service, Embedded). Connect to various data sources (databases, APIs, flat files) and implement efficient data extraction, transformation, and loading (ETL) processes. Write and optimize complex SQL queries to extract, manipulate, and analyze data from diverse database systems. Leverage expertise in reporting tools to select the most appropriate visualization techniques and create user-friendly and insightful reports. Utilize Python for data analysis, data manipulation, automation of tasks, and integration with other data platforms. Employ scripting tools and languages (PowerShell, Bash) to automate repetitive tasks and streamline data workflows. Develop a strong understanding of various database systems, including relational databases (e.g., SQL Server, PostgreSQL, MySQL) and potentially cloud-based data warehouses (e.g., Azure Synapse Analytics, Snowflake). Work extensively with Azure DevOps for version control (managing branches and pull requests), collaboration, and potentially for setting up CI/CD pipelines for BI solutions. Collaborate closely with business analysts, data scientists, and other stakeholders to understand their reporting requirements and translate them into technical specifications. Ensure data accuracy, integrity, and consistency across all BI solutions. Optimize Power BI reports and dashboards for performance, scalability, and usability. Develop and maintain data models within Power BI, ensuring efficient data relationships and calculations using DAX (Data Analysis Expressions). Participate in the full BI development lifecycle, from requirements gathering and design to development, testing, and deployment. Stay up-to-date with the latest features, updates, and best practices in Power BI and the broader Microsoft data analytics ecosystem. Create and maintain comprehensive technical documentation for developed BI solutions. Provide support and troubleshooting for existing Power BI reports and dashboards. Required Skills Power BI: Extensive hands-on experience (5+ years) in developing and deploying BI solutions using Microsoft Power BI, including Power BI Desktop, Power BI Service, and potentially Power BI Embedded. SQL: Excellent proficiency in writing complex SQL queries for data extraction, manipulation, and analysis across various database platforms. Experience with query optimization and performance tuning. Reporting Tools Expertise: Proven experience and deep understanding of various reporting and data visualization tools beyond Power BI (e.g., Tableau, Qlik Sense, SSRS) is highly desirable. Python: Good working knowledge of Python for data analysis, data manipulation (using libraries like Pandas, NumPy), and automation of data-related tasks. Familiarity with Scripting Tools: Experience with scripting tools and languages such as PowerShell or Bash for automating tasks related to data management and deployment. Strong Understanding of Databases: Comprehensive understanding of relational database management systems (RDBMS) and data warehousing concepts. Experience working with different database systems (SQL Server, PostgreSQL, MySQL, Azure SQL Database). Experience with Azure DevOps: Proven experience working with Azure DevOps, including managing code repositories (Git), working with branches and pull requests, and ideally setting up and managing CI/CD pipelines for BI : Bachelor's degree in Computer Science, Information Technology, Data Science, Business Analytics, or a related field. Minimum of 5 years of professional experience as a BI Developer with a strong focus on Power BI. Proven track record of successfully designing, developing, and deploying impactful BI solutions. Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions. Excellent verbal and written communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders. Ability to work independently and collaboratively within a team environment. A strong passion for data and the ability to derive meaningful insights from complex datasets. Bonus Points Experience with other Azure data services such as Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, and Azure Data Lake Storage. Knowledge of data warehousing methodologies (Kimball, Inmon) and dimensional modeling techniques (star schema, snowflake schema). Experience with data governance and data quality processes. Familiarity with other components of the Microsoft Power Platform (Power Apps, Power Automate). Experience working with agile development methodologies. Microsoft Power BI certifications (DA-100: Analyzing Data with Microsoft Power BI). (ref:hirist.tech) Show more Show less

We are looking for a highly skilled and experienced Software Engineer to join our team and help us develop and maintain various software products. Responsibilities Writing effective and scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Implement security and data protection solutions Coordinate with internal teams to understand user requirements and provide technical solutions Requirements And Skills Web development experience mainly in Python (Django) Expert level proficiency in writing complex queries in SQL and data manipulation with Python using libraries like Pandas, NumPy. Experience in development tools like GIT, Bit Bucket, JIRA, etc. Expertise in JavaScript frameworks like Angular/React/Node Good problem-solving skills Strong understanding of stock market analysis and financial instruments. Knowledge of R programming, AWS and Docker is a plus. Ability to work in a fast-paced, collaborative environment with a focus on innovation and quality. BSc in Computer Science, Engineering or relevant field Mandatory skills : SQL, Python (Pandas, NumPy), Django Desired skills : Excel, R, Tableau, HTML, CSS, JavaScript, Angular, React About Us Golden Hills Capital is a financial services company based in Hyderabad. We provide real time investment advice, analytical services, research, financial modeling and consulting services to hedge funds (primarily focused on US equity/stock market), based in Boston and New York. (ref:hirist.tech) Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Cloud and Python Developer for ML - Senior 1/2 EY GDS Consulting digital engineering, is seeking an experienced Azure Cloud and Python Developer for ML to join our Emerging Technologies team in DET, GDS. This role presents an exciting opportunity to contribute to innovative projects and be a key player in shaping our technological advancements. The opportunity We are seeking an experienced Azure Cloud and Python Developer with 6-8 years of hands-on experience in machine learning (ML) development. This role involves developing and deploying ML models on the Azure cloud platform, designing efficient data pipelines, and collaborating with data scientists and stakeholders to deliver technical solutions. Your Key Responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language, ensuring scalability and efficiency. Design and implement scalable and efficient data pipelines for model training and inference, optimizing data processing workflows. Collaborate closely with data scientists and business stakeholders to understand requirements, translate them into technical solutions, and deliver high-quality ML solutions. Implement best practices for ML development, including version control using tools like Git, testing methodologies, and documentation to ensure reproducibility and maintainability. Design and optimize ML algorithms and data structures for performance and accuracy, leveraging Azure cloud services and Python libraries such as TensorFlow, PyTorch, or scikit-learn. Monitor and evaluate model performance, conduct experiments, and iterate on models to improve predictive accuracy and business outcomes. Work on feature engineering, data preprocessing, and feature selection techniques to enhance model performance and interpretability. Collaborate with DevOps teams to deploy ML models into production environments, ensuring seamless integration and continuous monitoring. Stay updated with the latest advancements in ML, Azure cloud services, and Python programming, and apply them to enhance ML capabilities and efficiency. Provide technical guidance and mentorship to junior developers and data scientists, fostering a culture of continuous learning and innovation. Skills And Attributes Soft Skills Bachelor's or master's degree in computer science, data science, or related field, with a strong foundation in ML algorithms, statistics, and programming concepts. Minimum 6-8 years of hands-on experience in developing and deploying ML models on Azure cloud platform using Python programming language. Expertise in designing and implementing scalable data pipelines for ML model training and inference, utilizing Azure Data Factory, Azure Databricks, or similar tools. Proficiency in Python programming language, including libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy for ML model development and data manipulation. Strong understanding of ML model evaluation metrics, feature engineering techniques, and data preprocessing methods for structured and unstructured data. Experience with cloud-native technologies and services, including Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage. Familiarity with DevOps practices, CI/CD pipelines, and containerization tools like Docker for ML model deployment and automation. Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to troubleshoot and debug complex ML algorithms and systems. Effective communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders and collaborate in cross-functional teams. Proactive and self-motivated attitude, with a passion for learning new technologies and staying updated with industry trends in ML, cloud computing, and software development. Strong organizational skills and the ability to manage multiple projects, prioritize tasks, and deliver results within project timelines and specifications. Business acumen and understanding of the impact of ML solutions on business operations and decision-making processes, with a focus on delivering value and driving business outcomes. Collaboration and teamwork skills, with the ability to work effectively in a global, diverse, and distributed team environment, fostering a culture of innovation and continuous improvement.. To qualify for the role, you must have A bachelor's or master's degree in computer science, data science, or related field, along with a minimum of 6-8 years of experience in ML development and Azure cloud platform expertise. Strong communication skills and consulting experience are highly desirable for this position. Ideally, you’ll also have Analytical ability to manage complex ML projects and prioritize tasks efficiently. Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills. Familiarity with other cloud platforms and technologies such as AWS, Google Cloud Platform (GCP), or Kubernetes is a plus. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Job Description Primary Responsibilities Support in establishing frameworks to standardize, productize and scale existing and new capabilities / analytical solutions Implement the vision, roadmap, and best practices for the Data Science Center of Excellence (CoE) to align with business goals Support establishing governance frameworks to measure the value of products, standardize data science methodologies, coding practices, and project workflows Work with senior CoE members in development and maintenance of best practices for model and algorithm development and design, deployment, and monitoring across the enterprise functions Collaborate with product team on product development incorporating Agile framework and latest industry best practices and norms Support in development of MLOps and ModelOps frameworks to streamline the development-to-deployment product pipeline Drive innovation by identifying, evaluating, and implementing cutting-edge data science methodologies based on latest published literature Qualifications Education & Work Experience Requiremen ts Master’s degree (relevant field like Economics, Statistics, Mathematics, Operational Research) with 2+ years work experience. Bachelor’s degree (in Engineering or related field, such as Computer Science, Data Science, Statistics, Business, etc.) with at least 3+ years relevant experience Prior experience in research publications in reputed journal is a plus Skillset Candidates must have - Strong programming skills in languages such as Python or R, and SQL with experience in data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, stats models) Experience with data science principles, machine learning (supervised and unsupervised) and GenAI algorithms, test-control analysis, propensity score matching etc. Exposure to product roadmaps, Agile methodologies and backlog management, ensuring iterative and incremental product improvements Strong problem solving, business analysis and quantitative skills Ability to effectively communicate proposals to key stakeholders Candidates are desired but not mandatory to have - Experience and familiarity with underlying concepts such as Patient analytics, MMx etc. Understanding of Pharma commercial landscape will be a plus Experience working with healthcare, financial, or enterprise SaaS products Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Not Applicable Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 06/12/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R341750 Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Cloud and Python Developer for ML - Senior 1/2 EY GDS Consulting digital engineering, is seeking an experienced Azure Cloud and Python Developer for ML to join our Emerging Technologies team in DET, GDS. This role presents an exciting opportunity to contribute to innovative projects and be a key player in shaping our technological advancements. The opportunity We are seeking an experienced Azure Cloud and Python Developer with 6-8 years of hands-on experience in machine learning (ML) development. This role involves developing and deploying ML models on the Azure cloud platform, designing efficient data pipelines, and collaborating with data scientists and stakeholders to deliver technical solutions. Your Key Responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language, ensuring scalability and efficiency. Design and implement scalable and efficient data pipelines for model training and inference, optimizing data processing workflows. Collaborate closely with data scientists and business stakeholders to understand requirements, translate them into technical solutions, and deliver high-quality ML solutions. Implement best practices for ML development, including version control using tools like Git, testing methodologies, and documentation to ensure reproducibility and maintainability. Design and optimize ML algorithms and data structures for performance and accuracy, leveraging Azure cloud services and Python libraries such as TensorFlow, PyTorch, or scikit-learn. Monitor and evaluate model performance, conduct experiments, and iterate on models to improve predictive accuracy and business outcomes. Work on feature engineering, data preprocessing, and feature selection techniques to enhance model performance and interpretability. Collaborate with DevOps teams to deploy ML models into production environments, ensuring seamless integration and continuous monitoring. Stay updated with the latest advancements in ML, Azure cloud services, and Python programming, and apply them to enhance ML capabilities and efficiency. Provide technical guidance and mentorship to junior developers and data scientists, fostering a culture of continuous learning and innovation. Skills And Attributes Soft Skills Bachelor's or master's degree in computer science, data science, or related field, with a strong foundation in ML algorithms, statistics, and programming concepts. Minimum 6-8 years of hands-on experience in developing and deploying ML models on Azure cloud platform using Python programming language. Expertise in designing and implementing scalable data pipelines for ML model training and inference, utilizing Azure Data Factory, Azure Databricks, or similar tools. Proficiency in Python programming language, including libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy for ML model development and data manipulation. Strong understanding of ML model evaluation metrics, feature engineering techniques, and data preprocessing methods for structured and unstructured data. Experience with cloud-native technologies and services, including Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage. Familiarity with DevOps practices, CI/CD pipelines, and containerization tools like Docker for ML model deployment and automation. Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to troubleshoot and debug complex ML algorithms and systems. Effective communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders and collaborate in cross-functional teams. Proactive and self-motivated attitude, with a passion for learning new technologies and staying updated with industry trends in ML, cloud computing, and software development. Strong organizational skills and the ability to manage multiple projects, prioritize tasks, and deliver results within project timelines and specifications. Business acumen and understanding of the impact of ML solutions on business operations and decision-making processes, with a focus on delivering value and driving business outcomes. Collaboration and teamwork skills, with the ability to work effectively in a global, diverse, and distributed team environment, fostering a culture of innovation and continuous improvement.. To qualify for the role, you must have A bachelor's or master's degree in computer science, data science, or related field, along with a minimum of 6-8 years of experience in ML development and Azure cloud platform expertise. Strong communication skills and consulting experience are highly desirable for this position. Ideally, you’ll also have Analytical ability to manage complex ML projects and prioritize tasks efficiently. Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills. Familiarity with other cloud platforms and technologies such as AWS, Google Cloud Platform (GCP), or Kubernetes is a plus. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Cloud and Python Developer for ML - Senior 1/2 EY GDS Consulting digital engineering, is seeking an experienced Azure Cloud and Python Developer for ML to join our Emerging Technologies team in DET, GDS. This role presents an exciting opportunity to contribute to innovative projects and be a key player in shaping our technological advancements. The opportunity We are seeking an experienced Azure Cloud and Python Developer with 6-8 years of hands-on experience in machine learning (ML) development. This role involves developing and deploying ML models on the Azure cloud platform, designing efficient data pipelines, and collaborating with data scientists and stakeholders to deliver technical solutions. Your Key Responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language, ensuring scalability and efficiency. Design and implement scalable and efficient data pipelines for model training and inference, optimizing data processing workflows. Collaborate closely with data scientists and business stakeholders to understand requirements, translate them into technical solutions, and deliver high-quality ML solutions. Implement best practices for ML development, including version control using tools like Git, testing methodologies, and documentation to ensure reproducibility and maintainability. Design and optimize ML algorithms and data structures for performance and accuracy, leveraging Azure cloud services and Python libraries such as TensorFlow, PyTorch, or scikit-learn. Monitor and evaluate model performance, conduct experiments, and iterate on models to improve predictive accuracy and business outcomes. Work on feature engineering, data preprocessing, and feature selection techniques to enhance model performance and interpretability. Collaborate with DevOps teams to deploy ML models into production environments, ensuring seamless integration and continuous monitoring. Stay updated with the latest advancements in ML, Azure cloud services, and Python programming, and apply them to enhance ML capabilities and efficiency. Provide technical guidance and mentorship to junior developers and data scientists, fostering a culture of continuous learning and innovation. Skills And Attributes Soft Skills Bachelor's or master's degree in computer science, data science, or related field, with a strong foundation in ML algorithms, statistics, and programming concepts. Minimum 6-8 years of hands-on experience in developing and deploying ML models on Azure cloud platform using Python programming language. Expertise in designing and implementing scalable data pipelines for ML model training and inference, utilizing Azure Data Factory, Azure Databricks, or similar tools. Proficiency in Python programming language, including libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy for ML model development and data manipulation. Strong understanding of ML model evaluation metrics, feature engineering techniques, and data preprocessing methods for structured and unstructured data. Experience with cloud-native technologies and services, including Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage. Familiarity with DevOps practices, CI/CD pipelines, and containerization tools like Docker for ML model deployment and automation. Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to troubleshoot and debug complex ML algorithms and systems. Effective communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders and collaborate in cross-functional teams. Proactive and self-motivated attitude, with a passion for learning new technologies and staying updated with industry trends in ML, cloud computing, and software development. Strong organizational skills and the ability to manage multiple projects, prioritize tasks, and deliver results within project timelines and specifications. Business acumen and understanding of the impact of ML solutions on business operations and decision-making processes, with a focus on delivering value and driving business outcomes. Collaboration and teamwork skills, with the ability to work effectively in a global, diverse, and distributed team environment, fostering a culture of innovation and continuous improvement.. To qualify for the role, you must have A bachelor's or master's degree in computer science, data science, or related field, along with a minimum of 6-8 years of experience in ML development and Azure cloud platform expertise. Strong communication skills and consulting experience are highly desirable for this position. Ideally, you’ll also have Analytical ability to manage complex ML projects and prioritize tasks efficiently. Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills. Familiarity with other cloud platforms and technologies such as AWS, Google Cloud Platform (GCP), or Kubernetes is a plus. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Cloud and Python Developer for ML - Senior 1/2 EY GDS Consulting digital engineering, is seeking an experienced Azure Cloud and Python Developer for ML to join our Emerging Technologies team in DET, GDS. This role presents an exciting opportunity to contribute to innovative projects and be a key player in shaping our technological advancements. The opportunity We are seeking an experienced Azure Cloud and Python Developer with 6-8 years of hands-on experience in machine learning (ML) development. This role involves developing and deploying ML models on the Azure cloud platform, designing efficient data pipelines, and collaborating with data scientists and stakeholders to deliver technical solutions. Your Key Responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language, ensuring scalability and efficiency. Design and implement scalable and efficient data pipelines for model training and inference, optimizing data processing workflows. Collaborate closely with data scientists and business stakeholders to understand requirements, translate them into technical solutions, and deliver high-quality ML solutions. Implement best practices for ML development, including version control using tools like Git, testing methodologies, and documentation to ensure reproducibility and maintainability. Design and optimize ML algorithms and data structures for performance and accuracy, leveraging Azure cloud services and Python libraries such as TensorFlow, PyTorch, or scikit-learn. Monitor and evaluate model performance, conduct experiments, and iterate on models to improve predictive accuracy and business outcomes. Work on feature engineering, data preprocessing, and feature selection techniques to enhance model performance and interpretability. Collaborate with DevOps teams to deploy ML models into production environments, ensuring seamless integration and continuous monitoring. Stay updated with the latest advancements in ML, Azure cloud services, and Python programming, and apply them to enhance ML capabilities and efficiency. Provide technical guidance and mentorship to junior developers and data scientists, fostering a culture of continuous learning and innovation. Skills And Attributes Soft Skills Bachelor's or master's degree in computer science, data science, or related field, with a strong foundation in ML algorithms, statistics, and programming concepts. Minimum 6-8 years of hands-on experience in developing and deploying ML models on Azure cloud platform using Python programming language. Expertise in designing and implementing scalable data pipelines for ML model training and inference, utilizing Azure Data Factory, Azure Databricks, or similar tools. Proficiency in Python programming language, including libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy for ML model development and data manipulation. Strong understanding of ML model evaluation metrics, feature engineering techniques, and data preprocessing methods for structured and unstructured data. Experience with cloud-native technologies and services, including Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage. Familiarity with DevOps practices, CI/CD pipelines, and containerization tools like Docker for ML model deployment and automation. Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to troubleshoot and debug complex ML algorithms and systems. Effective communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders and collaborate in cross-functional teams. Proactive and self-motivated attitude, with a passion for learning new technologies and staying updated with industry trends in ML, cloud computing, and software development. Strong organizational skills and the ability to manage multiple projects, prioritize tasks, and deliver results within project timelines and specifications. Business acumen and understanding of the impact of ML solutions on business operations and decision-making processes, with a focus on delivering value and driving business outcomes. Collaboration and teamwork skills, with the ability to work effectively in a global, diverse, and distributed team environment, fostering a culture of innovation and continuous improvement.. To qualify for the role, you must have A bachelor's or master's degree in computer science, data science, or related field, along with a minimum of 6-8 years of experience in ML development and Azure cloud platform expertise. Strong communication skills and consulting experience are highly desirable for this position. Ideally, you’ll also have Analytical ability to manage complex ML projects and prioritize tasks efficiently. Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills. Familiarity with other cloud platforms and technologies such as AWS, Google Cloud Platform (GCP), or Kubernetes is a plus. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

We are seeking a Machine Learning Intern to join our team. You will be working on client facing projects, building POCs and writing technical blogs for our sites. This is a fully remote position, initially, it'll be a 3-month internship with the potential for extension or full-time offer based on performance. This is a paid internship at ₹15,000/month . This is an exciting opportunity to work in a dynamic environment and expand your knowledge in the field of AI development. This is a completely remote job, you will work on your own time. No micro-management, promise. You will be a learning a lot on the job, so don't worry if you do not meet all qualifications. As long as you can learn an adapt, this will be a good experience for you. Responsibilities Learn to use techniques like LoRA, FineTuning, Transfer Learning, etc. and use them in our projects. Read papers and learn more AI concepts to increase your own knowledge. Yes, this is necessary. Build POCs. Work on client facing AI projects under guidance of senior engineers. Documenting your journey by writing technical articles explaining complex AI topics in simple language. Qualifications Deep expertise working as a machine learning engineer or similar role, focusing on NLP. Strong programming skills with proven experience implementing Python-based solutions. Familiar with common DS libraries (NumPy, pandas, and scikit-learn) Common ML frameworks (like PyTorch, TensorFlow, Keras), worked with text embeddings and transformer models No need for a degree, if you have skills we will be happy to work with you. Excellent written and verbal communication skills. Strong research skills to gather information and validate technical content. Proficiency in using reading AI papers if required. Bonus Experience LLMs and related tooling: Agents, GPT, Langchain, HuggingFace , etc. Deep learning techniques, reinforcement learning, and generative models Interview Process (<3 days) 1 x Phone Screen | 10 mins 1 x Technical Interview | 1 hour Note: This is a 3-month internship, with the potential to turn into a full-time job. We don't hire based on DSA. You’ll be a good fit if you’re awesome at AI and capable of building real-world applications with them. We prefer people who are strong in AI, web & tech fundamentals and open to learning any framework/library as required. Degrees are redundant. First-time job-seekers are encouraged to apply. Will hire based on potential. Work from wherever, whenever. Immediate Joiners only. Show more Show less

Job Description The 55ip Quant team is looking for a quantitative professional to research, implement, test, and maintain the core algorithms of its technology-enabled investment platform for large investment advisory (RIA) & wealth management firms As a Research Analyst at JP Morn Chase within the Asset and Wealth Management and the 55ip Quant team, you will have the opportunity to research, implement, test, and maintain the core algorithms of our technology-enabled investment platform for large investment advisory (RIA) & wealth management firms. If you have a background in statistical modules using software design constructs and tools, are motivated, a problem solver, and an effective team player looking to make a significant impact in supporting research projects, this role could be a perfect fit for you. This position offers the chance to grow as an independent researcher. Job Responsibilities Involve in end-to-end research, development, and maintenance of investment algorithms Contribute to development and maintenance of optimization models, take part in building out the research and development framework Thoroughly vet investment algorithmic results and contribute to the research data platform design Investigate datasets for use in new or existing algorithms, participate in agile practices and liaise with stakeholders to gather & understand the functional requirements Take part in research & code reviews , develop code using high quality standards and best practices, conduct thorough end-to-end unit testing, and provide support during testing and post go-live Support research innovation through the creative and thorough experimentation of cutting-edge hardware, advanced analytics, machine learning techniques, and other methods Collaborate with technology teams to ensure appropriate requirements, standards, and integration Required Qualifications, Capabilities, And Skills Experience in a quantitative role Proficient in Python, Git and Jira Master’s degree in computer science, computational mathematics, or financial engineering Excellent mathematical foundation and hands-on experience working in the finance industry Proficient in quantitative, statistical, and ML/AI techniques and their implementation using Python modules such as Pandas, NumPy, SciPy, SciKit-Learn, etc. Strong communication (written and oral) and analytical problem-solving skills Strong sense of attention to detail, pride in delivering high quality work and willingness to learn An understanding of or exposure to financial capital markets, various financial instruments (such as stocks, ETFs, Mutual Funds, etc.), and financial tools (such as Bloomberg, Reuters, etc.) Knowledgeable in SQL Preferred Qualifications, Capabilities, And Skills Professional experience with commercial optimizers (Gurobi, CPLEX) is a big plus Able to shift gears and react quickly to timely requests Self-motivated, proactive, responsive-ability to think strategically but also willing to dig into the details and tactics Understanding of LaTeX and/or RMarkdown is a plus ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Show more Show less

You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. Manager, Audit Analytics American Express’ Internal Audit Group (IAG) has reinvented our audit process and is leading the financial services industry with our Audit NextGen, Data-Driven Continuous Auditing, and Auditor of the Future initiatives. Each uniquely support our Winning Aspiration to be a world class internal audit function that: · Provides data-driven and technology-enabled assurance · Delivers timely risk insights that are business-aware and forward-looking · Supports our colleagues with experiences that prepare them to be enterprise leaders Collectively, IAG’s strategic initiatives, combined with our greatest asset – our people – enable IAG to utilize advanced data analysis capabilities, provide greater and continuous assurance, and help ensure quality products and services are provided to American Express customers. IAG’s innovative Data-Driven Continuous Auditing approach has led to patent-pending technology assets over our uniquely developed audit methodology and technology enablers. We are looking for those who share our mission and aspirations and are passionate about the use of data and technology in a collaborative, people-focused environment. Key Responsibilities · Translate business risks, controls and supporting data into analytic requirements and partners with colleagues to build effective analytics and insights · Responsible for multiple simultaneous audit projects of all sizes and complexity across multiple business areas within and outside of local region, in unfamiliar areas, and for different audit leaders · Link analytics and insights to ongoing strategic initiatives · Apply proven/ advanced data algorithms, advanced analytic and modeling techniques to draw insights essential to driving improvement initiatives · Leverage Machine Learning to learn and identify patterns, early warnings, predictions about aspects/ processes touching our customers, from the wide range of Operational, Customer behavior and other structured as well as unstructured data available to us · Writing, debugging and compiling codes in multiple Machine Learning environment and not limited to Python/Pyspark, Apache Spark, etc. · Prototype and simulate use cases for Advanced analytics, ongoing & proactive assessment of analytic results in partnership with relevant teams, leveraging data to tell compelling business stories, with a keen focus on impact & insights · Extensively support other Managers/ team members with Subject matter expertise and process knowledge to help make insights extremely relevant and actionable for our business partners · Significantly contribute towards adoption and application of cutting edge techniques and software paradigms (available internally & externally) by continuously learning, researching and experimenting Qualifications · Master’s degree in Analytics, Statistics, Operations Research, Computer science, Engineering, or other related fields with atleast 3-4 years of experience in the data and analytics · Technical experience with analytic coding techniques, visualization tools and creating reporting dashboards · Strong experience in Python environment and libraries (scikit, nltk, pandas and numpy). Working knowledge of statistical/data mining analysis tools, relationship databases and programming languages within the Big data environment · Hands on knowledge of SQL/ Hive QL, Visualization tools like Tableau, Power BI · Experience with advanced analytic methods, such as machine learning, forecasting, cluster analysis, or pattern matching · Track record of analyzing multiple sources of data to distill insights and drive business outcomes to help improve Customer Satisfaction · Self-starter alongwith passion for continuous Innovation with a view to drive organizational improvements & impacts · Excellent storytelling and visualization skills · Extensive business process experience in the financial services industry, including an understanding of related products, services, features, economics and key regulations · Aptitude for working with data, interpreting results, business intelligence and analytic best practices · Ability to break-down a complex problem into components, solve them using data analysis, process knowledge and risk/control knowledge, and communicate data analysis, issues and control recommendations with transparency and integrity · Strong written and verbal communication skills that deliver quality, actionable and beneficial feedback to management on potential control issues and solutions to close gaps · Ability to lead and manage multiple projects and incorporate developmental feedback across deliverables We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Show more Show less

Step into the world of AI innovation with the Deccan AI Experts Community (By Soul AI), where you become a creator, not just a consumer. We are reaching out to the top 1% of Soul AI’s Data Visualization Engineers like YOU for a unique job opportunity to work with the industry leaders. What’s in it for you? pay above market standards The role is going to be contract based with project timelines from 2 - 6 months, or freelancing. Be a part of an Elite Community of professionals who can solve complex AI challenges. Work location could be: Remote Onsite on client location: US, UAE, UK, India etc. Deccan AI’s Office: Hyderabad or Bangalore Responsibilities: Architect and implement enterprise-level BI solutions to support strategic decision-making along with data democratization by enabling self-service analytics for non-technical users. Lead data governance and data quality initiatives to ensure consistency and design data pipelines and automated reporting solutions using SQL and Python. Optimize big data queries and analytics workloads for cost efficiency and Implement real-time analytics dashboards and interactive reports. Mentor junior analysts and establish best practices for data visualization. Required Skills: Advanced SQL, Python (Pandas, NumPy), and BI tools (Tableau, Power BI, Looker). Expertise in AWS (Athena, Redshift), GCP (Big Query), or Snowflake. Experience with data governance, lineage tracking, and big data tools (Spark, Kafka). Exposure to machine learning and AI-powered analytics. Nice to Have: Experience with graph analytics, geospatial data, and visualization libraries (D3.js, Plotly). Hands-on experience with BI automation and AI-driven analytics. Who can be a part of the community? We are looking for top-tier Data Visualization Engineers with expertise in analyzing and visualizing complex datasets. Proficiency in SQL, Tableau, Power BI, and Python (Pandas, NumPy, Matplotlib) is a plus. If you have experience in this field then this is your chance to collaborate with industry leaders. What are the next steps? 1. Register on our Soul AI website. 2. Our team will review your profile. 3. Clear all the screening rounds: Clear the assessments once you are shortlisted. As soon as you qualify all the screening rounds (assessments, interviews) you will be added to our Expert Community! 4. Profile matching: Be patient while we align your skills and preferences with the available project. 5 . Project Allocation: You’ll be deployed on your preferred project! Skip the Noise. Focus on Opportunities Built for You! Show more Show less

Req ID: 284544 We are currently seeking a Systems Integration Advisor -Technical Architecture-Cloud Services-AWS to join our team in Bangalore, Karntaka (IN-KA), India (IN). : We are seeking a highly skilled and motivated Mid-Level AI/DS Specialist to join our dynamic team at NTT Data. The ideal candidate will have a strong background in artificial intelligence and data science, with expertise in natural language processing (NLP), generative AI (Gen-AI), and conversational AI. The candidate should be well-versed with the Microsoft AI platform, OpenAI, Databricks, Python, and common data science libraries and tools. Additionally, the candidate should be capable of fine-tuning large language models (LLMs) and familiar with AI/ML engineering and prompt engineering. Key Responsibilities: Develop and implement AI/DS solutions to enhance business processes and customer experiences. Utilize NLP, Gen-AI, and conversational AI techniques to build and optimize AI models. Work with the Microsoft AI platform, OpenAI, and Databricks to develop and deploy AI solutions. Write efficient and scalable code in Python, leveraging common data science libraries and tools. Fine-tune LLM models to meet specific project requirements. Collaborate with cross-functional teams to integrate AI/DS solutions into existing systems. Stay updated with the latest advancements in AI/DS and apply them to ongoing projects. Conduct prompt engineering to improve the performance and accuracy of AI models. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. Proven experience in AI/DS, with a focus on NLP, Gen-AI, and conversational AI. Proficiency in the Microsoft AI platform, OpenAI, Databricks, and Python. Strong knowledge of common data science libraries and tools. Experience in fine-tuning LLM models. Familiarity with AI/ML engineering and prompt engineering. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.

Python Software Development Sr.specialist In these roles, you will be responsible for Design, implement, and test generative AI models using python and various frameworks such as Pandas, TensorFlow, PyTorch, and OpenAI. Research and explore new techniques and applications of generative AI, such as text, image, audio, and video synthesis, style transfer, data augmentation, and anomaly detection. Collaborate with other developers, researchers, and stakeholders to deliver high-quality and innovative solutions. Document and communicate the results and challenges of generative AI projects. Required Skills for this role include: Technical skills 5 to 7 years"™ Experience in developing Python frameworks such DL, ML, Flask At least 2 years of experience in developing generative AI models using python and relevant frameworks. Strong knowledge of machine learning, deep learning, and generative AI concepts and algorithms. Proficient in python and common libraries such as numpy, pandas, matplotlib, and scikit-learn. Familiar with version control, testing, debugging, and deployment tools. Excellent communication and problem-solving skills. Curious and eager to learn new technologies and domains. Desired Skills: Knowledge of Django, Web API Proficient exposure on MVC. Preferences: Graduate degree in Computer Science with 4 years of Python based development. Gen AI Framework Professional Certification

Req ID: 312501 We are currently seeking a Mid Data Science & AIML, GenAI Lead/Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job DutiesJob TitleData Science & AIML, GenAI Lead/Engineer Key Responsibilities: "¢ Develop and implement traditional machine learning algorithms. "¢ Deploy at least one model in a production environment. "¢ Write and maintain Python code for data science and machine learning projects. Minimum Skills RequiredPreferred Qualifications: "¢ Knowledge of Deep Learning (DL) techniques. "¢ Experience working with Generative AI (GenAI) and Large Language Models (LLM). "¢ Exposure to Langchain. "‹"‹"‹"‹"‹"‹"‹

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities 3-5 years of experience as AI/ML engineer or similar role. Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with model development and deployment processes. Proficiency in programming languages such as Python. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS) and containerization (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., GitHub). Proficiency in data manipulation and analysis using libraries such as NumPy and Pandas. Good to have knowledge of deep learning, ML Ops: Kubeflow, MLFlow, Nextflow. Knowledge on text Analytics, NLP, Gen AI Mandatory Skill Sets ML Ops, AI / ML Preferred Skill Sets ML Ops, AI / ML Years Of Experience Required 4 - 8 Education Qualification B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Master of Business Administration Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Full Stack Development Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

About Neo Group: Neo is a new-age, focused Wealth and Asset Management platform in India, catering to HNIs, UHNIs and multi-family offices. Neo stands on its three pillars of unbiased advisory, transparency and cost-efficiency, to offer comprehensive, trustworthy solutions. Founded by Nitin Jain (ex-CEO of Edelweiss Wealth), Neo has amassed over USD 3 Billion (₹25,000 Cr.) of Assets Under Advice within a short span of 2 years since inception, including USD 360 Million (₹3,000 Cr.) Assets Under Management. We have recently partnered with Peak XV Partners via a USD 35 Million growth round. To know more, please visit: www.neo-group.in Position: Senior Data Scientist Location: Mumbai Experience: 4 - 8 years Job Description: You are a data pro with deep statistical knowledge and analytical aptitude. You know how to make sense of massive amounts of data and gather deep insights. You will use statistics, data mining, machine learning, and deep learning techniques to deliver data-driven insights for clients. You will dig deep to understand their challenges and create innovative yet practical solutions. Responsibilities: • Meeting with the business team to discuss user interface ideas and applications. • Selecting features, building and optimizing classifiers using machine learning techniques • Data mining using state-of-the-art methods • Doing ad-hoc analysis and presenting results in a clear manner • Optimize application for maximum speed and scalability • Assure that all user input is validated before submitting code • Collaborate with other team members and stakeholders • Taking ownership of features and accountability Requirements: • 4+ years’ experience in developing Data Models • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Excellent understanding of NLP and language processing • Proficient understanding of Python or PySpark • Good experience of Python and databases such as MongoDB or MySQL • Good applied statistics skills, such as distributions, statistical testing, regression, etc. • Build Acquisition Scorecard Models • Build Behaviour Scorecard Models • Created Threat Detection Models • Created risk profiling model or classification model • Build Threat/Fraud Triggers from various sources of data • Experience with Data Analysis Libraries - NumPy, Pandas, Statsmodels, Dask • Good understanding of Word2vec, RNNs, Transformers, Bert, Resnet, MobileNet, Unet, Mask-RCNN, Siamese Networks, GradCam, image augmentation techniques, GAN, Tensorboard • Ability to provide accurate estimates for tasks and detailed breakdowns for planning and managing sprints • Deployment - Flask, Tensorflow serving, Lambda functions, Docker is a plus • Previous Experience leading a DS team is a plus Personal Qualities: • An ability to perform well in a fast-paced environment • Excellent analytical and multitasking skills • Stays up-to-date on emerging technologies • Data-oriented personality Why join us? We will provide you with the opportunity to challenge yourself and learn new skills, as you become an integral part our growth story. We are group of ambitious people who believe in building a business environment around new age concepts, framework, and technologies built on a strong foundation of industry expertise. We promise you the prospect of being surrounded by smart, ambitious, motivated people, day-in and day-out. That’s the kind of work you can expect to do at Neo. Show more Show less

Xemplar Insights Xemplar is a US-based software and solutions company that specializes in customer engagement and risk management software using AI/ML, GPT, Mobile, Web and Cloud technologies for insurance and financial services customers primarily in US, and Europe. We currently have openings for Python developers to scale up our workforce within the AI practice and backend scripting. We are seeking seasoned Python developers who have very good experience in handling complex requirements and are eager to learn new tools and applications. Interested candidates will get to work in an established Insuretech, with incredibly talented individuals and a fast-paced environment at our Hyderabad Development Center, which is equipped with modern facilities and infrastructure. Must Have Technical Skills: •Strong proficiency in Python programming. •Strong proficiency in data analysis and manipulation (e.g., Pandas, Numpy). •Experience with LLMs (e.g., Open AI, Anthropic) and Generative AI. •Prompt engineering skills. •Experience in troubleshooting, debugging, and optimizing code for performance and reliability •Experience with API integrations. •Experience with GitHub for source code management. •Proficient in using langchain. Nice to Have Technical Skills: •Good Knowledge on multi-threaded processing •Experience with AWS. •Agentic AI frameworks and memory management. •Exp. With any chatbot framework. Job Responsibilities: Should have 4+ years of hands-on and full-time experience in design and development of Python-based applications and services with Generative AI. Work in sprints assigned by the leads in projects related to working with GenAI , LLMs, AWS Lambda, Amazon Lex, AI/ML models, and other AWS tools. Be flexible to research when needed to always find best and latest libraries for development of required functionality, rather than depend on past knowledge. Be willing to quickly learn new things and implement, i.e. do not expect the tasks given to be monotonous in nature. The need to continuously learn new things should be expected. Collaborate with cross-functional teams to understand business requirements, technical architecture, solution design, to deliver high-quality solutions. Deliver standards driven, high-quality, and well-tested code to other cross-functional teams or QA for integration and testing. Troubleshoot, debug, and optimize code for high performance and reliability. Stay up to date with industry trends and best practices and bring new ideas and concepts to the table. Qualifications: Bachelor’s degree in computer science, Engineering, or a related field. Strong proficiency in Python programming. Must have 4+ years of hands-on and full-time experience in design and development of Python-based applications and services. Have strong proficiency in data analysis and data manipulation using latest libraries such as pandas, database integrations, etc. Must be familiar and experienced with advanced concepts related to API integrations, multi-threaded processing, structured programming, etc. Well versed with using Git Hub for source code management, automated deployment pipelines, etc. to enable continuous development, continuous integration, and continuous testing. Prior experience in working with LLMs, AWS Lambda, Amazon Lex, and other AWS tools will be preferred. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work in a fast-paced and dynamic environment. Other Experience Proficiency in using Jira software, MS-Office products, etc. Product development mind-set and experience, as opposed to one-time project-based development. Experience: 4+ years Mode of work: Work from office Location: Hyderabad Show more Show less

Job Description Job Details Position: Project Manager-Power BI & Customer Excellence Division & Department: Enabling Functions_Business Technology Group (BTG) Reporting To: Product Manager Educational Qualifications Bachelor’s / Master’s Degree in Computer Science / BE / B.Tech (Computers) Preferred: Certifications in Data Management Microsoft Certified Power BI Analyst (desirable) Experience Total Desired Experience: 5–6 years in relevant data/digital project domains Minimum Relevant Experience: 5 years in Power BI implementation and application integration Role And Responsibilities Key Objectives Deliver end-to-end Power BI requirements across SBUs, including direct hands-on support for critical needs. Lead digital transformation initiatives involving Power BI, Salesforce, and integration between CRM, ERP, and custom applications. Manage project lifecycle, ensuring quality and timely delivery through agile methodologies. Coordinate with internal teams and vendors to develop scalable data-driven solutions. Utilize product management tools to capture and track project progress effectively. Major Deliverables Drive and execute Power BI & Salesforce projects: dashboards, automated reports, and data insights. Maintain project documentation, timelines, and communication using agile tools. Implement Power BI dashboards, KPIs, and scorecards; oversee deployment and publishing processes. Support Sales & Service-related initiatives in SFDC. Enable data governance, warehousing, and reporting using SQL, DAX, and Python. Critical Competencies Essential Attributes Proven experience in digital project management and delivery. Strong analytical thinking, problem-solving, and attention to detail. Ability to communicate effectively and engage stakeholders across functions. Agile mindset; adaptable to changing environments and technology evolution. High ownership, collaborative spirit, and vendor coordination capabilities. Technical Competencies Languages: Python, C, C++, Scala Databases: SQL Server, Oracle, MySQL, PostgreSQL Data Engineering: HDFS, Apache Spark, Databricks Cloud Frameworks: AWS (EC2, EMR, S3, RDS) Machine Learning: pandas, NumPy, Scikit-Learn Tools: Spyder, Orange, Jupyter Notebook, Visual Studio Version Control/DevOps: Git, Maven, Docker Domain & Functional Skills Strong Power BI knowledge (dashboarding, DAX, report lifecycle) Data analytics, ETL, and reporting fundamentals Functional exposure to SFDC, Oracle ERP, SAP, Infor Familiarity with agile project management practices Show more Show less

About Neo Group: Neo is a new-age, focused Wealth and Asset Management platform in India, catering to HNIs, UHNIs and multi-family offices. Neo stands on its three pillars of unbiased advisory, transparency and cost-efficiency, to offer comprehensive, trustworthy solutions. Founded by Nitin Jain (ex-CEO of Edelweiss Wealth), Neo has amassed over USD 3 Billion (₹25,000 Cr.) of Assets Under Advice within a short span of 2 years since inception, including USD 360 Million (₹3,000 Cr.) Assets Under Management. We have recently partnered with Peak XV Partners via a USD 35 Million growth round. To know more, please visit: www.neo-group.in Position: Data Scientist Location: Mumbai Experience: 2-5 years Job Description: You are a data pro with deep statistical knowledge and analytical aptitude. You know how to make sense of massive amounts of data and gather deep insights. You will use statistics, data mining, machine learning, and deep learning techniques to deliver data-driven insights for clients. You will dig deep to understand their challenges and create innovative yet practical solutions. Responsibilities: • Meeting with the business team to discuss user interface ideas and applications. • Selecting features, building and optimizing classifiers using machine learning techniques • Data mining using state-of-the-art methods • Doing ad-hoc analysis and presenting results in a clear manner • Optimize application for maximum speed and scalability • Assure that all user input is validated before submitting code • Collaborate with other team members and stakeholders • Taking ownership of features and accountability Requirements: • 2+ years’ experience in developing Data Models • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Excellent understanding of NLP and language processing • Proficient understanding of Python or PySpark • Basic understanding of Python and databases such as MongoDB or MySQL • Good applied statistics skills, such as distributions, statistical testing, regression, etc. • Build Acquisition Scorecard Models • Build Behaviour Scorecard Models • Created Threat Detection Models • Created risk profiling model or classification model • Build Threat/Fraud Triggers from various sources of data • Experience with Data Analysis Libraries - NumPy, Pandas, Statsmodels, Dask • Good understanding of Word2vec, RNNs, Transformers, Bert, Resnet, MobileNet, Unet, Mask-RCNN, Siamese Networks, GradCam, image augmentation techniques, GAN, Tensorboard • Ability to provide accurate estimates for tasks and detailed breakdowns for planning and managing sprints • Deployment - Flask, Tensorflow serving, Lambda functions, Docker is a plus • Previous Experience leading a DS team is a plus Personal Qualities: • An ability to perform well in a fast-paced environment • Excellent analytical and multitasking skills • Stays up-to-date on emerging technologies • Data-oriented personality Why join us? We will provide you with the opportunity to challenge yourself and learn new skills, as you become an integral part our growth story. We are group of ambitious people who believe in building a business environment around new age concepts, framework, and technologies built on a strong foundation of industry expertise. We promise you the prospect of being surrounded by smart, ambitious, motivated people, day-in and day-out. That’s the kind of work you can expect to do at Neo. Show more Show less