56 Streamlit Jobs

As a Data Visualization Engineer at Zoetis, Inc., you will be an integral part of the pharmaceutical R&D team, contributing to the development and implementation of cutting-edge visualizations that drive decision-making in drug discovery, development, and clinical research. You will collaborate closely with scientists, analysts, and other stakeholders to transform complex datasets into impactful visual narratives that provide key insights and support strategic initiatives. Your responsibilities will include designing and developing a variety of visualizations, ranging from interactive dashboards to static reports, to summarize key insights from high-throughput screening, clinical trial data, and other R&D datasets. You will work on implementing visual representations for pathway analysis, pharmacokinetics, omics data, and time-series trends, utilizing advanced visualization techniques and tools to create compelling visuals tailored to technical and non-technical audiences. Collaboration with cross-functional teams will be a key aspect of your role, as you partner with data scientists, bioinformaticians, pharmacologists, and clinical researchers to identify visualization needs and translate scientific data into actionable insights. Additionally, you will be responsible for maintaining and optimizing visualization tools, building reusable components, and evaluating emerging technologies to support large-scale data analysis. Staying updated on the latest trends in visualization technology and methods relevant to pharmaceutical research will be essential, as you apply advanced techniques such as 3D molecular visualization, network graphs, and predictive modeling visuals. You will also collaborate across the full spectrum of R&D functions, aligning technology solutions with the diverse needs of scientific disciplines and development pipelines. In terms of qualifications, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Bioinformatics, or a related field. Experience in the pharmaceutical or biotech sectors is considered a strong advantage. Proficiency in visualization tools such as Tableau, Power BI, and programming languages like Python, R, or JavaScript is required. Familiarity with data handling tools, omics and network tools, as well as dashboarding and 3D visualization tools, will also be beneficial. Soft skills such as strong storytelling ability, effective communication, collaboration with interdisciplinary teams, and analytical thinking are crucial for success in this role. Travel requirements for this position are minimal, ranging from 0-10%. Join us at Zoetis India Capability Center (ZICC) in Hyderabad, and be part of our journey to pioneer innovation and drive the future of animal healthcare.,

The Visualization & Storytelling (Analytics) Engineer is responsible for transforming complex data into compelling visual narratives that drive decision-making and communicate insights effectively. This role combines expertise in data analytics, visualization tools, and storytelling to create impactful dashboards, reports, and presentations that resonate with diverse stakeholders. As a Visualization & Storytelling (Analytics) Engineer, your primary responsibility will be to design and develop interactive dashboards, charts, and visualizations using tools like Tableau, Power BI, Looker, or D3.js. Your work will involve presenting data insights clearly and effectively through visually appealing representations. In addition to data visualization development, you will also be tasked with crafting data-driven narratives that translate complex analytical findings into actionable insights for both technical and non-technical audiences. Collaborating with data analysts and scientists, you will extract, clean, and analyze data from various sources to uncover trends, patterns, and insights that drive informed decision-making. Furthermore, your role will involve close collaboration with business units, product managers, and executives to understand requirements, define key performance indicators (KPIs), and tailor visualizations to meet their specific needs. Leveraging programming languages such as Python, R, and SQL, as well as visualization libraries like Matplotlib, Seaborn, and Plotly, you will build custom visualizations and automate workflows to enhance data storytelling capabilities. The ideal candidate for this role should have expertise in Tableau, Power BI, Python (Matplotlib, Seaborn, Plotly), Flask, Streamlit, and other relevant tools and technologies. This position plays a crucial role in making data easily consumable and actionable, emphasizing the importance of user interface elements and potential collaboration with UI development roles within the organization.,

Overview The Visualization & Storytelling (Analytics) Engineer is responsible for transforming complex data into compelling visual narratives that drive decision-making and communicate insights effectively. This role combines expertise in data analytics, visualization tools, and storytelling to create impactful dashboards, reports, and presentations that resonate with diverse stakeholders. Responsibilities Data Visualization Development: Design and develop interactive dashboards, charts, and visualizations using tools like Tableau, Power BI, Looker, or D3.js to present data insights clearly and effectively. Storytelling with Data: Craft data-driven narratives that translate complex analytical findings into actionable insights for technical and non-technical audiences. Data Analysis: Collaborate with data analysts and scientists to extract, clean, and analyze data from various sources to uncover trends, patterns, and insights. Stakeholder Collaboration: Work closely with business units, product managers, and executives to understand requirements, define KPIs, and tailor visualizations to meet their needs. Tool & Technology Integration: Leverage programming languages (e.g., Python, R, SQL) and visualization libraries (e.g., Matplotlib, Seaborn, Plotly) to build custom visualizations and automate workflows. Requirements Tableau, Power BI, Python (matplotlib, seaborn, plotly), flask, streamlit, others. This is a crucial role to make data (not necessarily models) consumable. You could also put the UI elements here or assign those roles to UI development roles in house. Show more Show less

KeyResponsibilities: Develop interactive dashboards and visual reports using tools like Power BI,Streamlit, or Dash Write andoptimizeSQL queries for data extraction and analysis Create Python scripts for data processing, automation, and reporting Collaborate with stakeholders to gather requirements and deliver data-driven insights Work on projects related to stock loan, stock lending, and borrowing processes Leverage cloud platforms (preferably AWS) for data storage and processing Requirements: Proficiencyin data visualization tools: Power BI,Streamlit, Dash, etc. Strong experience in SQL and relational databases Solid Python scripting skills Domain knowledge in banking, with a focus on stock loan and securities lending/borrowing Familiarity with cloud platforms, especially AWS Good To HaveSkills: Experience with financial data modeling Knowledge of data governance and security practice

You are a strategic thinker who is passionate about driving solutions in Marketing Analytics. You have found the right team. As a Marketing Analytics Professional within our Private Banking division, you will be responsible for setting and improving our organizational objectives and ensuring their consistent accomplishment. Partner with marketing stakeholders to identify opportunities for leveraging data analytics to solve complex marketing challenges. Develop and maintain dashboards and reports in Tableau to visualize marketing data insights and track key performance indicators (KPIs). Utilize strong SQL and Python coding skills to manipulate and analyze large datasets, and create interactive applications using Streamlit, Dash, or Shiny. Conduct in-depth data exploration and mining to understand client behavior, market opportunities, and campaign effectiveness. Provide data-driven insights and recommendations to support strategic marketing decision-making and enhance client engagement. Foster a data-driven culture by promoting data literacy and encouraging innovative approaches to marketing problem-solving. Technical Proficiency: Strong expertise in Python for data manipulation and analysis, with experience in using libraries such as Pandas, NumPy, SciPy, Scikit-learn, and Matplotlib. Proficiency in SQL for querying and managing large datasets from various data sources. Application Development: Experience with interactive application frameworks like Streamlit, Dash, or Shiny to develop user-friendly data applications that enhance data accessibility and usability. Data Visualization: Advanced skills in data visualization tools such as Tableau, Power BI, or Qlik, with the ability to create interactive and insightful dashboards that effectively communicate complex data insights to stakeholders. Analytical Skills: Demonstrated ability to work with large datasets, perform complex data analysis, and derive actionable insights. Experience in data cleaning, transformation, and modeling to support data-driven decision-making. Problem-Solving: Strong problem-solving skills with the ability to identify issues, analyze data, and develop innovative solutions to complex business challenges. Industry Experience: Experience in the financial services industry, particularly in private banking, wealth management, asset management, or marketing analytics. Communication: Excellent written and verbal communication skills, with the ability to translate data findings into compelling narratives and present them to diverse audiences. Collaboration: Ability to work collaboratively in cross-functional teams, build strong relationships with stakeholders, and contribute to a culture of data-driven decision-making. Preferred Qualifications, Capabilities, and Skills: Advanced degree in Business Analytics, Statistics, Computer Science, or a related field, with a strong foundation in quantitative analysis and data modeling. Familiarity with machine learning techniques and their application in predictive analytics, including experience with libraries such as Scikit-learn or TensorFlow. Experience in managing data analytics projects from inception to completion, with the ability to prioritize tasks, manage timelines, and deliver high-quality results. Understanding of data governance principles, data quality management, and best practices for ensuring data accuracy and integrity across platforms. A passion for technology and innovation, with a proactive approach to exploring new tools, techniques, and methodologies to enhance data analytics capabilities.,

At Capgemini Engineering, the world leader in engineering services, a global team of engineers, scientists, and architects collaborate to empower the world's most innovative companies to reach their full potential. From cutting-edge technologies like autonomous cars to life-saving robots, our digital and software technology experts are known for their out-of-the-box thinking, providing unique R&D and engineering services across various industries. Embark on a career with us, where every day presents new opportunities to make a meaningful difference. As a part of our team, you will be responsible for developing and implementing techniques and analytics applications that convert raw data into valuable insights using data-oriented programming languages and visualization software. Utilize data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large datasets, both structured and unstructured. Visualize, interpret, and report data findings, and potentially create dynamic data reports. We are currently seeking a highly experienced AI/ML Solution Architect to take the lead in designing and implementing scalable, enterprise-grade AI and machine learning solutions. The ideal candidate should possess a solid background in data science, cloud computing, and AI/ML frameworks, demonstrating the ability to translate business requirements into technical solutions effectively. **Primary Responsibilities:** - Design and architect end-to-end AI/ML solutions customized to meet specific business needs. - Lead the development and deployment of machine learning, deep learning, and generative AI models. - Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders. - Ensure seamless integration of AI models into existing systems and workflows. - Conduct architecture reviews, performance tuning, and scalability assessments. - Stay abreast of the latest trends, tools, and technologies in the field of AI/ML. **Primary Skills (Must-Have):** - Strong expertise in AI/ML algorithms, encompassing deep learning, NLP, and computer vision. - Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn. - Experience with cloud platforms, particularly Azure (mandatory); familiarity with AWS/GCP is desirable. - Hands-on experience with LLMs (e.g., Azure OpenAI, Mistral) and GenAI deployment. - API development using FastAPI, Flask; integration with third-party tools (e.g., SharePoint, SNOW). - Solid understanding of data security (at rest and in motion) and data flow diagrams. **Secondary Skills (Good-to-Have):** - UI development using Angular, Streamlit, HTML, CSS, and JavaScript. - Experience with containerization tools like Docker, Azure Container Registry/Instance. - Familiarity with monitoring tools such as Splunk and NewRelic. - Knowledge of Agentic AI, RAG (Retrieval-Augmented Generation), and MFA (Multi-Factor Authentication). - Cost estimation and infrastructure planning for AI deployments (on-prem/cloud). **Qualifications:** - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 12-14 years of experience in AI/ML solution development and architecture. - Excellent communication and stakeholder management skills. Join Capgemini, a global partner in business and technology transformation, dedicated to accelerating organizations" transition to a digital and sustainable world while delivering tangible impact for enterprises and society. With a diverse team of over 340,000 members across 50 countries, Capgemini is a trusted leader with a heritage spanning more than 55 years. Clients rely on Capgemini to unlock technology's value and address their entire business needs, offering end-to-end services and solutions with expertise in AI, generative AI, cloud, and data, supported by industry knowledge and a strong partner ecosystem.,

Certified AI/ML Trainer needed (Online/Offline, Part-Time/Weekend) to teach Python, ML, Deep Learning, tools like TensorFlow, Keras, guide projects, conduct assessments, and mentor students for interviews and certification.

Key Responsibilities: At least 5 years of experience in data engineering with a strong background on Azure Databricks and Scala/Python. Databricks with knowledge in Pyspark Database: Oracle or any other database Programming: Python with awareness of Flask or Streamlit

Role & responsibilities Looking for a skilled Data Engineer with expertise in Python and Azure Databricks for building scalable data pipelines. Must have strong SQL skills for designing, querying, and optimizing relational databases. Responsible for data ingestion, transformation, and orchestration across cloud platforms. Experience with coding best practices, performance tuning, and CI/CD in Azure ecosystem is essential. Need Streamlit exp.

The primary responsibility of this role is to design, develop, and implement cutting-edge image and video generation systems leveraging deep learning models. You will take the lead in exploring and prototyping diffusion, GAN, and transformer-based architectures for generative tasks. Your expertise will be instrumental in optimizing models for quality, speed, and scalability through accelerated compute technologies such as CUDA and TensorRT. Collaboration with cross-functional teams including Product, Design, and Frontend will be essential to seamlessly integrate AI pipelines into production applications and platforms. Additionally, you will play a key role in contributing to system architecture, ensuring reproducibility, versioning, and model evaluation, while also staying updated on the latest advancements in generative AI to facilitate the transition from research and development to production. To excel in this role, you should possess a minimum of 2 years of hands-on experience in the field of AI/ML with a strong emphasis on generative models. Your track record should include practical experience with video generation models like Sora, Gen-2 by Runway, Synthesia, or custom pipelines. A solid background in image generation using Diffusion Models (e.g., Stable Diffusion, DALLE, Imagen) or GANs (e.g., StyleGAN2/3) is essential. Proficiency in Python and deep learning libraries such as PyTorch, TensorFlow, or JAX is required, along with experience in training large-scale models using multi-GPU setups like DDP, DeepSpeed, or Hugging Face Accelerate. A sound understanding of computer vision, image processing, and neural rendering techniques is crucial, as well as practical skills in model fine-tuning and related methodologies like LoRA/PEFT, ControlNet, DreamBooth, and others. Preferred tools and frameworks for this role include Stable Diffusion, DALLE, MidJourney, Sora, Gen-2, VQ-GAN, Pix2Pix, CycleGAN, AnimateDiff, ControlNet, T2I-Adapter, VideoCrafter, Pika Labs, ZeroScope, and ModelScope. Proficiency in FastAPI, Flask, or gRPC for model serving and Streamlit, Gradio, or React for rapid prototyping is advantageous. Experience with cloud platforms such as AWS, GCP, or Azure, particularly with GPU instances, and serving models using TorchServe, NVIDIA Triton, or Vertex AI, will be beneficial in ensuring scalable model deployment. This is a full-time position with a flexible schedule and a day shift from Monday to Friday. The ideal candidate will have a minimum of 2 years of experience in machine learning. The work location is in person, and the expected start date is 01/08/2025.,

As a Data Science Instructor at our dynamic team, you will play a crucial role in preparing students for the evolving data science landscape. Your primary focus will be on delivering immersive and hands-on learning experiences to equip future data professionals with practical skills in SQL, Python, Machine Learning, and real-world project development. Your responsibilities will include developing and conducting engaging lessons and workshops covering core data science topics, with a notable emphasis on SQL and Python programming. You will guide students through foundational machine learning models such as linear regression, logistic regression, decision trees, and random forests, ensuring they comprehend both the theoretical concepts and practical applications. Moreover, you will be tasked with designing and facilitating hands-on projects to help students apply their knowledge effectively and build a robust portfolio of work. Your ability to explain complex technical concepts in a clear and concise manner will be pivotal in making the material accessible to a diverse group of learners. As a mentor, you will provide constructive feedback and guidance to support students in overcoming challenges and enhancing their understanding. Collaboration with our team to continuously enhance and refine our curriculum to ensure its relevance and cutting-edge nature will also be part of your role. To excel in this position, you must have proven experience as a Data Scientist, Machine Learning Engineer, or similar role, backed by a strong portfolio that demonstrates your expertise in Python and machine learning projects. Your proficiency in Python for data analysis, manipulation, and model building, along with practical experience in common machine learning models, is essential. Additionally, your exceptional ability to design and lead hands-on projects that foster practical skill development, coupled with strong communication and presentation skills, will be key in your success. Proficiency in SQL for data querying and management is also required. Preferred qualifications include familiarity with Python libraries like Streamlit, experience with Natural Language Processing (NLP) concepts, exposure to Large Language Models (LLMs) or chatbot development, and prior experience in teaching, mentoring, or training roles. If you are enthusiastic about empowering the next generation of data scientists and possess a proven track record in building and explaining data science projects, we encourage you to reach out to us at hr@ndmit.com. Join us in shaping the future of data science education!,

You will be joining Pandita AI, a startup based in Palo Alto, dedicated to developing specialized foundation models, multimodal agents, and automation tools to tackle real-world challenges across various sectors such as science, enterprise, and industrial systems. The company's AI engineering division in Mysore is thriving, focusing on creating intuitive, elegant, and scalable interfaces for both internal tools and client-facing demonstrations. As a UX/UI & Product Designer at Pandita AI, you will have the opportunity to take charge of product thinking using innovative tools like ChatGPT, Grok, and internal LLMs to replace traditional product management responsibilities. Your role involves collaborating closely with researchers and engineers to deliver UI/UX solutions for AI demonstrations and interfaces promptly, without the need for extensive product specifications. In this dynamic position, you will blend visual storytelling, interactive UI development, and independent product ideation. Your responsibilities will include utilizing tools like ChatGPT, Deep Research, and Grok to handle tasks typically managed by a Product Manager, conducting market research, defining user stories, discovering features, and supporting prototyping efforts. Additionally, you will design and launch Streamlit apps and dashboards showcasing the company's AI capabilities and create compelling presentations and visual assets that simplify technical research into engaging narratives. As an autonomous product owner, you will be responsible for researching feature ideas, analyzing competitors, and implementing best UX practices, crafting user stories and flows, developing content for UI and presentations, simulating user feedback, and designing polished slides and pitch decks for various purposes. You will also collaborate with AI researchers and subject matter experts to comprehend core systems and visualize their functionalities effectively. To qualify for this role, you should hold a Bachelor's or Master's degree in UI/UX Design, Product Design, HCI, or Computer Science. Proficiency in design tools such as Figma, Canva, Adobe Illustrator, or similar software is essential. A strong portfolio showcasing your work on slides, Streamlit apps, dashboards, or visual interfaces for tech products is required, along with hands-on experience in Streamlit or Python-based web UIs. Demonstrated expertise in leveraging tools like ChatGPT, Claude, or Grok for driving product ideation, writing, and workflow creation, as well as experience collaborating with engineers and researchers in fast-paced environments, are also crucial. Preferred qualifications include familiarity with LLM or GenAI-based tools and prompt workflows, a basic understanding of API integration, cloud deployment (Streamlit Cloud, AWS), and version control, and comfort working autonomously in a high-velocity environment, driven by curiosity. Joining Pandita AI offers you a high-autonomy role in an AI-first product setting with minimal involvement of traditional product management layers. You will collaborate with AI leaders and subject matter experts, contributing to the future of intelligent software systems. The role provides you with full ownership of design and UX decisions across demos, tools, and customer-facing applications, along with competitive compensation, ESOPs, and a collaborative, engineering-driven culture in Mysore. Additionally, you will have access to cutting-edge compute infrastructure, research-grade tools, and the opportunity to work on pioneering GenAI applications.,

The Data Visualization Engineer position at Zoetis India Capability Center (ZICC) in Hyderabad offers a unique opportunity to be part of a team that drives transformative advancements in animal healthcare. As a key member of the pharmaceutical R&D team, you will play a crucial role in creating insightful and interactive visualizations to support decision-making in drug discovery, development, and clinical research. Your responsibilities will include designing and developing a variety of visualizations, from interactive dashboards to static visual representations, to summarize key insights from high-throughput screening and clinical trial data. Collaborating closely with cross-functional teams, you will translate complex scientific data into clear visual narratives tailored to technical and non-technical audiences. In this role, you will also be responsible for maintaining and optimizing visualization tools, ensuring alignment with pharmaceutical R&D standards and compliance requirements. Staying updated on the latest trends in visualization technology, you will apply advanced techniques like 3D molecular visualization and predictive modeling visuals to enhance data representation. Working with various stakeholders such as data scientists, bioinformaticians, and clinical researchers, you will integrate, clean, and structure datasets for visualization purposes. Your role will also involve collaborating with Zoetis Tech & Digital teams to ensure seamless integration of IT solutions and alignment with organizational objectives. To excel in this position, you should have a Bachelor's or Master's degree in Computer Science, Data Science, Bioinformatics, or a related field. Experience in the pharmaceutical or biotech sectors will be a strong advantage. Proficiency in visualization tools such as Tableau, Power BI, and programming languages like Python, R, or JavaScript is essential. Additionally, familiarity with data handling tools, omics and network visualization platforms, and dashboarding tools will be beneficial. Soft skills such as strong storytelling ability, effective communication, collaboration with interdisciplinary teams, and analytical thinking are crucial for success in this role. Travel requirements for this full-time position are minimal, ranging from 0-10%. Join us at Zoetis and be part of our journey to pioneer innovation and drive the future of animal healthcare through impactful data visualization.,

As a Data Scientist at UST, you will independently develop data-driven solutions to tackle complex business challenges by utilizing analytical, statistical, and programming skills to collect, analyze, and interpret large datasets under supervision. Your role involves working closely with stakeholders across the organization to identify opportunities for leveraging customer data in creating models that generate valuable business insights. You will be responsible for creating new experimental frameworks, building automated tools for data collection, correlating similar datasets, and deriving actionable results. Additionally, you will develop predictive models and machine learning algorithms to analyze vast amounts of information, uncover trends, and patterns. By mining and analyzing data from company databases, you will drive optimization and improvement in product development, marketing techniques, and business strategies. Moreover, you will be expected to create processes and tools to monitor and analyze model performance, data accuracy, and develop data visualization and illustrations to address business problems effectively. Your role will also involve using predictive modeling to enhance and optimize customer experiences and other business outcomes. Collaboration with different functional teams to implement models and monitor outcomes is essential. You will be required to set and provide feedback on FAST goals for reportees. Key responsibilities include applying statistical techniques like regression, properties of distributions, and statistical tests to analyze data, as well as utilizing machine learning techniques such as clustering, decision tree learning, and artificial neural networks for data analysis. Moreover, you will be creating advanced algorithms and statistics through regression, simulation, scenario analysis, and modeling. In terms of data visualization, you will visualize and present data for stakeholders using tools like Periscope, Business Objects, D3, ggplot, etc. You will oversee the activities of analyst personnel, ensuring efficient execution of their duties, while mining the business's database for critical insights and communicating findings to relevant departments. Other expectations include creating efficient and reusable code for data improvement, manipulation, and analysis, managing project codebase through version control tools like git and bitbucket, and creating reports depicting trends and behaviors from analyzed data. You will also be involved in training end users on new reports and dashboards, documenting your work, conducting peer reviews, managing knowledge, and reporting task status. The ideal candidate will possess excellent pattern recognition and predictive modeling skills, a strong background in data mining and statistical analysis, expertise in machine learning techniques, and advanced algorithm creation. Moreover, analytical, communication, critical thinking, attention to detail, mathematical, and interpersonal skills are crucial for success in this role. Proficiency in programming languages such as Java, Python, R, web services like Redshift and S3, statistical and data mining techniques, computing tools, analytical languages, data visualization software, mathematics, spreadsheet tools, DBMS, operating systems, and project management tools is required. Additionally, a strong understanding of statistical concepts, SQL, machine learning (Regression and Classification), deep learning (ANN, RNN, CNN), advanced NLP, computer vision, Gen AI/LLM, AWS Sagemaker/Azure ML/Google Vertex AI, and basic implementation experience of Docker, Kubernetes, kubeflow, MLOps, Python (numpy, panda, sklearn, streamlit, matplotlib, seaborn) is essential for this role.,

Build the future of the AI Data Cloud by joining the Snowflake team. Our customers are highly satisfied with our technology and are consistently expanding their use cases, limited only by their imaginations. The Customer Experience Engineering Team is dedicated to empowering customers to push these boundaries. In instances where customers encounter obstacles or issues, the team ensures prompt resolution by leveraging internal technical resources, allowing customers to resume their successful journey with Snowflake. Snowflake's Customer Experience Engineering Team is now expanding and seeking a Senior Front End Software Engineer to contribute. As a member of this team, you will focus on developing intelligent data applications that provide insights into diagnostic data and technical content relevant to customer challenges. Senior Front End Software Engineers on our Customer Experience team take pride in enhancing Snowflake's product features to minimize friction points that obstruct customers and frequently necessitate assistance from Snowflake's technical experts. The team finds excitement in the complexity of extracting intelligence from diverse data sources, both structured and unstructured. Key Responsibilities: - Lead and drive projects across the stack, utilizing React and Streamlit frameworks to design informative UIs that harness a vast amount of data points. - Foster strong collaboration within a cross-functional team, collaborating closely with product management and design. - Deliver features that require close coordination with various partner teams. - Play a significant role in shaping the product vision and driving team planning. - Identify issues, instrument relevant components as necessary, and implement effective solutions. - Provide mentorship and guidance to junior team members. Qualifications of an Ideal Senior Software Engineer: - Hold a B.S. or M.S. degree in CS, MIS, or a related field. - Possess substantial software development experience, with a minimum of 5 years in web UI application development. - Demonstrate a deep understanding of modern web application design architecture, proficient API design patterns, performance optimization, and scalability. - Proficient in technologies such as React, SQL, JavaScript, Python, and Streamlit or similar frameworks. - Familiarity with software engineering best practices including unit testing, code reviews, and design documentation. - Strong debugging and troubleshooting skills, especially within a cloud environment. - Proven technical leadership experience, such as serving as an architect or tech lead for impactful projects. - Excellent communication skills, both verbal and written, with a desire to collaborate with a diverse group of peers and external developers. - Genuine passion for crafting exceptional software and a keen interest in continuous learning. Snowflake is experiencing rapid growth, and we are expanding our team to support and drive this growth. We seek individuals who align with our values, challenging conventional thinking, accelerating innovation, and contributing to their own future and that of Snowflake. For opportunities based in the United States, please refer to the job posting on the Snowflake Careers Site for details on salary and benefits: careers.snowflake.com.,

You are a technology-led healthcare solutions provider with a strong purpose to enable healthcare organizations to be future-ready. You offer accelerated global growth opportunities for individuals who are bold, industrious, and nimble. At Indegene, you provide a unique career experience that celebrates entrepreneurship and is driven by passion, innovation, collaboration, and empathy. Indegene values the importance of the early years of your career, recognizing that they lay the foundation for your professional journey. By joining the team, you can expect a differentiated career experience that exposes you to the dynamic intersection of healthcare and technology. You will have the opportunity to be mentored by industry experts and grow alongside the company's high-speed expansion on a global scale. As a Competency Leader, your role involves leading the design, development, and deployment of advanced AI and Generative AI solutions that bring substantial business value to pharma clients. You should possess extensive hands-on experience with AI/ML frameworks, cloud platforms, MLOps, and a deep understanding of GenAI technologies. Key Responsibilities: - Design, develop, and optimize AI/ML models for practical applications ensuring high performance, scalability, and reliability. - Innovate using advanced GenAI technologies to address complex business challenges. - Implement and manage end-to-end MLOps pipelines, including CI/CD, model monitoring, retraining workflows, and versioning. - Architect and deploy scalable, cost-effective AI/ML solutions on cloud platforms such as AWS and Azure. - Collaborate with cross-functional stakeholders to align AI solutions with business objectives. - Mentor and guide junior engineers, fostering innovation and adherence to best practices in AI/ML development and deployment. - Develop and train Generative AI models. - Perform data analysis and prepare data for AI model training. - Integrate AI models with Snowflake, AWS, and other systems. Required Knowledge: - 10+ years of experience in AI/ML development and deployment, including leadership roles. - Good knowledge of machine learning and Generative AI, especially content generation using AWS Bedrock and OpenAI-based models. - Proficiency in working with GenAI tools and technologies such as LLMs, RAG, OpenAI APIs, LangChain, Streamlit, and vector databases. - Experience in building scalable (Gen) AI applications on AWS. - Strong background and understanding of vector databases. - Good knowledge of Python for data science and streamlit for rapid deployment of prototypes. - Experience working in an agile environment. - Experience in setting up and using CI/CD pipelines as well as writing software in a test-driven fashion. - Experience in building (Gen) AI solutions on Snowflake is a plus. - Experience with Agentic AI build. Key Skills: Python, AI/ML Expertise, Deep Learning, NLP, MLOps, Cloud Platforms (AWS, Azure), GenAI (LLM, RAG, OpenAI), LangChain, Streamlit, API Architecture, Leadership, Business-Aligned Problem Solving, Prompt Engineering, Knowledge of Vector Databases. EQUAL OPPORTUNITY If you are excited about the prospect of contributing to cutting-edge AI solutions in the healthcare industry and are ready to take on a challenging yet rewarding role, we encourage you to apply.,

We are seeking a Python AI/ML Developer who is enthusiastic about Large Language Models (LLMs), rapid prototyping, and scalable backend development. If you are passionate about creating AI-native applications using frameworks like FastAPI, Django, Gradio, and Streamlit, and have some experience in digital or affiliate marketing, we are interested in hearing from you. Your responsibilities will include building and deploying AI-powered applications using Python and LLM APIs such as OpenAI, LLaMA, Mistral, etc. You will be developing RESTful and asynchronous APIs utilizing FastAPI and Django, integrating and managing databases like PostgreSQL and MongoDB, and designing intuitive frontend UIs with Gradio and Streamlit. Additionally, you will be tasked with designing and optimizing prompts for various LLM use cases like text generation, classification, and semantic search. Collaboration with product, design, and marketing teams to transform concepts into production-ready tools is also a key aspect of this role. To excel in this position, you should possess a solid foundation in Python and a fundamental understanding of AI/ML workflows. Exposure to at least one LLM API such as OpenAI, Cohere, or Hugging Face models is essential. Proficiency in FastAPI, Django, PostgreSQL, and MongoDB is required, along with experience or project work involving Gradio and/or Streamlit. Demonstrated skills in crafting effective prompts and creating LLM chains or workflows are highly valued, as well as a strong problem-solving mindset and a keenness for continuous learning. Proficiency in Git and version control is also expected. Candidates with knowledge in digital marketing, affiliate marketing, or performance marketing will be given extra consideration. Familiarity with LangChain, LLMOps, or RAG-based pipelines is a plus. This is a full-time position that requires in-person work at the specified location.,

As a Senior Data Scientist in the Global Data Science & Advanced Analytics team at Colgate-Palmolive, your role will involve leading projects within the Analytics Continuum. You will be responsible for conceptualizing and developing machine learning, predictive modeling, simulations, and optimization solutions to address business questions with clear dollar objectives. Your work will have a significant impact on revenue growth management, price elasticity, promotion analytics, and marketing mix modeling. Your responsibilities will include: - Conceptualizing and building predictive modeling solutions to address business use cases - Applying machine learning and AI algorithms to develop scalable solutions for business deployment - Developing end-to-end business solutions from data extraction to statistical modeling - Conducting model validations and continuous improvement of algorithms - Deploying models using Airflow and Docker on Google Cloud Platforms - Leading pricing, promotion, and marketing mix initiatives from scoping to delivery - Studying large datasets to discover trends and patterns - Presenting insights in a clear and interpretable manner to business teams - Developing visualizations using frameworks like Looker, PyDash, Flask, PlotLy, and streamlit - Collaborating closely with business partners across different geographies To qualify for this position, you should have: - A degree in Computer Science, Information Technology, Business Analytics, Data Science, Economics, or Statistics - 5+ years of experience in building statistical models and deriving insights - Proficiency in Python and SQL for coding and statistical modeling - Hands-on experience with statistical models such as linear regression, random forest, SVM, logistic regression, clustering, and Bayesian regression - Knowledge of GitHub, Airflow, and visualization frameworks - Understanding of Google Cloud and related services like Kubernetes and Cloud Build Preferred qualifications include experience with revenue growth management, pricing, marketing mix models, and third-party data. Knowledge of machine learning techniques and Google Cloud products will be advantageous for this role. Colgate-Palmolive is committed to fostering an inclusive environment where diversity is valued, and every individual is treated with respect. As an Equal Opportunity Employer, we encourage applications from candidates with diverse backgrounds and perspectives. If you require accommodation during the application process due to a disability, please complete the request form provided. Join us in building a brighter, healthier future for all.,

Qualcomm India Private Limited is looking for a Lead Conversational AI Developer to join the Intelligent Automation Center (IAC) team. As a Lead Conversational AI Developer, you will be responsible for designing and implementing Conversational AI solutions using Microsoft Azure and Copilot Stack in combination with GenAI. You should have hands-on experience with Microsoft Copilot Studio, Microsoft Bot Framework, NLP, Azure AI Search, and Azure OpenAI. Additionally, you will be utilizing Generative AI in projects and should have a strong expertise in Python for building bot solutions. Furthermore, you will be working with Azure Cognitive Services, Power Automate, Azure Logic Apps, and APIs to enhance Copilot Agent and bot functionalities. You should have experience in software development focusing on Conversational AI and Machine Learning. Proficiency with tools and Frameworks such as LangChain, LlamaIndex, and Streamlit is required. Knowledge and implementation experience of chatbot technologies using Microsoft Azure Services and Power Platform is also essential. Responsibilities include ensuring the quality of coded components through unit testing, collaborating with test teams for product testing and UAT, reporting status, issues, and risks to tech leads, improving skills in automation products through certifications, and training team members on Conversational AI related technologies. You should be able to work independently with minimal supervision, possess good team management skills, and have excellent communication and collaboration skills. Minimum qualifications include 4+ years of work experience in programming, scripting, and/or automation with a Bachelor's degree or 6+ years of relevant work experience without a Bachelor's degree. Additionally, you should have 2+ years of experience with Database Design structures such as Mongo DB and MySQL. Knowledge of conversational AI, Intelligent Automation methodologies, Process Mining concepts, and experience in business process diagrams and process flow charts are required. Applicants should have a Bachelor's degree and at least 5 years of IT-relevant work experience. Certification in Industry Leading Robotic Automation products, experience in Agile development, and cloud experience are considered a plus. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, please contact Qualcomm.,

Job Description Digital Transformation Analyst/Digital Project Analyst ,/Digital Innovation Specialist Position Summary: We are looking for a passionate and driven Digital Transformation Analyst with 35 years of experience to support , manage and execute digital initiatives across functions. The ideal candidate will have a strong analytical mindset, basic technical command in tools like Python, Streamlit and Power BI, and excellent stakeholder management skills to drive value through technology-led improvements. Required Skills & Experience: 35 years of hands-on experience in digital transformation, analytics, or IT projects. Basic knowledge of Python, Streamlit (for scripting, data manipulation, automation). Basic command in Power BI for dashboard creation, data visualization, and reporting. Excellent problem-solving and analytical thinking. Experience in stakeholder management, requirement gathering, and solution presentation. Familiarity with digital tools, APIs, databases, or cloud platforms is a plus. Good communication skills (written & verbal) and ability to work across diverse teams. Educational Background: B.E./B.Tech in Computer Science, Information Technology, or Instrumentation Engineering (or equivalent technical degree). Preferred Attributes: Exposure to industrial or manufacturing domains (e.g., metals, mining, energy) is a plus. Basic understanding of industrial automation, IoT, or OT systems is desirable. Certification in Power BI, Python, Streamlit or Agile/Project Management is a bonus

As an AI/ML Engineer (Python) at Telepathy Infotech, you will be responsible for building and deploying machine learning and GenAI applications in real-world scenarios. You will be part of a passionate team of technologists working on innovative digital solutions for clients across industries. We value continuous learning, ownership, and collaboration in our work culture. To excel in this role, you should have strong Python skills and experience with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. Experience in GenAI development using APIs such as Google Gemini, Hugging Face, Grok, etc. is highly desirable. A solid understanding of ML, DL, NLP, and LLM concepts is essential along with hands-on experience in Docker, Kubernetes, and CI/CD pipeline creation. Familiarity with Streamlit, Flask, FastAPI, MySQL/PostgreSQL, AWS services (EC2, Lambda, RDS, S3, API Gateway), LangGraph, serverless architectures, and vector databases like FAISS, Pinecone, will be advantageous. Proficiency in version control using Git is also required. Ideally, you should have a B.Tech/M.Tech/MCA degree in Computer Science, Data Science, AI, or a related field with at least 1-5 years of relevant experience or a strong project/internship background in AI/ML. Strong communication skills, problem-solving abilities, self-motivation, and a willingness to learn emerging technologies are key qualities we are looking for in candidates. Working at Telepathy Infotech will provide you with the opportunity to contribute to impactful AI/ML and GenAI solutions while collaborating in a tech-driven and agile work environment. You will have the chance to grow your career in one of India's fastest-growing tech companies with a transparent and supportive company culture. To apply for this position, please send your CV to hr@telepathyinfotech.com or contact us at +91-8890559306 for any queries. Join us on our journey of innovation and growth in the field of AI and ML at Telepathy Infotech.,

As a Senior Specialist in Global Data Science at Colgate-Palmolive, you will play a crucial role in the GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical. This department focuses on working on business cases with significant financial impacts for the company, providing solutions to business questions, recommended actions, and scalability options across markets. Your position as a Data Scientist will involve leading projects within the Analytics Continuum, where you will be responsible for conceptualizing and developing machine learning, predictive modeling, simulations, and optimization solutions aimed at achieving clear financial objectives for Colgate-Palmolive. Your responsibilities will include building predictive modeling solutions, applying ML and AI algorithms to analytics, developing end-to-end business solutions from data extraction to building business presentations, conducting model validations, and continuous improvement of algorithms. You will also deploy models using Airflow and Docker on Google Cloud Platforms, own Pricing and Promotion, Marketing Mix projects, and present insights to business teams in an easily interpretable manner. To qualify for this role, you should have a BE/BTECH in Computer Science or Information Technology, an MBA or PGDM in Business Analytics or Data Science, additional certifications in Data Science, or an MSC/MSTAT in Economics or Statistics. You should have at least 5 years of experience in building statistical models, hands-on experience with coding languages such as Python and SQL, and knowledge of visualization frameworks like PyDash, Flask, and PlotLy. Understanding of Cloud Frameworks like Google Cloud and Snowflake is essential. Preferred qualifications include experience in managing statistical models for Revenue Growth Management or Marketing Mix models, familiarity with third-party data sources, knowledge of machine learning techniques, and experience with Google Cloud products. At Colgate-Palmolive, we are committed to fostering an inclusive environment where individuals with diverse backgrounds and perspectives can thrive. Our goal is to develop talent that best serves our consumers globally and ensure that everyone feels a sense of belonging within our organization. We are an Equal Opportunity Employer dedicated to empowering all individuals to contribute meaningfully to our business.,

You will be responsible for building curated enterprise-grade solutions for GenAI application deployment at a production scale for clients. This role demands a solid understanding and hands-on skills in GenAI application deployment, encompassing development and engineering skills. You will need to possess expertise in data ingestion, selecting the appropriate LLMs, implementing simple and advanced RAG, guardrails, prompt engineering for optimization, traceability, security, LLM evaluation, observability, and deployment at scale on cloud or on-premise. It is essential for candidates to demonstrate knowledge of agentic AI frameworks due to the rapid evolution of this space. Strong background in ML with engineering skills is highly preferred for the LLMOps role. You should have 3 - 5 years of experience working on ML projects, involving business requirement gathering, model development, training, deployment at scale, and monitoring model performance for production use cases. Proficiency in Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional) is crucial. Experience with proprietary and open-source large language models, LLM fine-tuning, creating distilled models from hosted LLMs, and building data pipelines for model training is required. You should also have experience in model performance tuning, RAG, guardrails, prompt engineering, evaluation, and observability. Prior experience in GenAI application deployment on cloud and on-premises at scale for production, creating CI/CD pipelines, working with Kubernetes, and deploying AI services on at least one cloud platform such as AWS, GCP, or Azure is necessary. Proficiency in creating workable prototypes using Agentic AI frameworks like CrewAI, Taskweaver, AutoGen, and light-weight UI development using streamlit or chainlit (optional) is beneficial. Desired experience with open-source tools for ML development, deployment, observability, and integration is an added advantage. A background in DevOps and MLOps will be a plus. You should be familiar with collaborative code versioning tools like GitHub/GitLab and possess excellent communication and presentation skills. A degree in Computer Science, related technical field, or equivalent is required. If you are someone who thrives in a dynamic environment and enjoys collaborating with enthusiastic individuals, this opportunity is perfect for you.,

At EG, we are dedicated to developing industry-specific software solutions for our customers, allowing them to focus on their profession while we handle the technology aspect. Our team, consisting of industry peers and backed by the stability and innovation of EG, is committed to tackling significant challenges such as resource efficiency and sustainability. With a global workforce of over 3000 employees, including a team of 850+ based in Mangaluru, India, we prioritize a people-first culture that encourages innovation, collaboration, and continuous learning. Join our COE Team, working at the forefront of AI innovation, where we shape AI-powered digital transformation across various business domains. As a Senior Data Scientist with at least 7 years of experience, you will have the opportunity to be part of a core team designing and delivering end-to-end AI solutions that directly impact products across multiple industries. You will have the autonomy to bring your innovations to life while collaborating with exceptional minds in the field. Responsibilities: - Design scalable AI architectures including Traditional AI, GenAI, and Agentic AI - Build AI use cases deployed across hybrid environments such as on-premises infrastructure, Azure, and AWS cloud ecosystems - Enable business units to adopt and maintain AI solutions - Conduct feasibility studies and define technology roadmaps for AI initiatives - Support integration of AI accelerators into existing business applications Your role will involve engaging with product/business teams to translate requirements into AI/ML solutions, leading feasibility analysis, designing solution architectures, and developing, training, and evaluating AI/ML models for various business use cases. You will collaborate with cross-functional teams to deploy end-to-end data pipelines and AI solutions using cloud platforms like Azure and AWS. Additionally, you will evangelize AI best practices, drive adoption of emerging AI technologies, and provide mentorship and training to upskill Business Unit teams and junior data scientists. Required Skills: - Bachelor's in Computer Science and Engineering or related field; advanced degree preferred - 7+ years of experience in AI/ML with expertise in GenAI, LLMs, RAG, and related technologies - Proficiency in Python, ML frameworks (TensorFlow, PyTorch, Keras), NLP, and applied AI - Full-stack engineering exposure with backend in Python and experience in building scalable applications using Azure and AWS - Understanding of OOP/OOD, data structures, design patterns, and Agile/DevSecOps methodologies - Experience with visualization tools like Power BI, Streamlit, etc., and excellent interpersonal and communication skills Join us at EG for a professional, innovative environment where you can work on real-world problems and large-scale AI solutions alongside talented colleagues. We offer flexibility, ownership of ideas, extensive opportunities for personal and professional growth, and a strong focus on employee well-being, inclusion, and benefits.,

You are a dynamic and hands-on Full Stack AI Developer with expertise in Python programming, Generative AI, LLMs, API development, and front-end frameworks like React and Streamlit. Your responsibility includes designing, developing, and maintaining AI-powered full stack applications, building and optimizing REST APIs, creating backend services, implementing Generative AI features, developing front-ends, integrating retrieval-augmented generation (RAG) and agentic AI concepts, applying best practices in software engineering, and working with cloud platforms. You must have proficiency in Core Python Development, scientific & data libraries like NumPy and Pandas, database integration, API development, Generative AI/LLMs, deployment & containerization using Docker, frontend development with HTML5, CSS3, modern JavaScript, Streamlit, and React.js. Desirable skills include experience with cloud services, monitoring and logging for AI systems, testing frameworks, PDF extraction, OCR tools, frontend accessibility, and performance optimization. Your soft skills should include strong communication and documentation skills, problem-solving mindset, and the ability to collaborate across cross-functional teams. An educational qualification of Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field is required, and certifications or hands-on experience in Generative AI/LLMs are a plus. This role is ideal for candidates passionate about developing end-to-end AI applications from data ingestion and model integration to real-time deployment and UI/UX delivery. You will work on real-world GenAI products using LLMs, APIs, Vector Databases, and modern front-end stacks in a production-ready setup.,