1583 Pandas Jobs - Page 33

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation At YASH, were a cluster of the brightest stars working with cutting-edge technologies Our purpose is anchored in a single truth bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future We are looking forward to hire AI/ML Professionals in the following areas : Designation: AI Engineer Experience: 24 Years Job Type: Full-time We are seeking a highly skilled and motivated Data Scientist to join our dynamic team In this role, you will leverage your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions You will design, develop, and deploy sophisticated machine learning models, conduct in-depth data analyses, and collaborate with cross-functional teams to deliver actionable insights Responsibilities Build and deploy ML models for classification, regression, and clustering tasks Apply foundational GenAI concepts such as embeddings, summarization, and RAG Use APIs and tools like LangChain, vector databases (e g , Pinecone, FAISS) Prepare documentation and results interpretation Required Skills Strong hands-on experience in Python, Scikit-learn, Pandas Knowledge of model evaluation, feature engineering, and model tuning Exposure to LangChain and vector DBs Basic exposure to FastAPI or Flask At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

Role & responsibilities Conduct relevant statistical tests to validate hypotheses and ensure data-driven outcomes. Design, develop, and deploy advanced statistical and machine learning models to analyze complex datasets, including those from the a app and other projects. Perform data fusion activities by leveraging techniques to merge, reconcile, and analyze information from disparate systems and formats. Employing modern weighing and projection methods to answer key business questions and predict future trends. Design and manage interactive dashboards using Power BI for real-time data visualization. Perform Exploratory Data Analysis (EDA) to identify patterns, anomalies, and opportunities. Collaborate with product and research teams by providing feedback based on analytical findings. Analyze survey data to extract actionable insights and trends. Define and create Key Performance Indicators (KPIs) based on APP data. Serve as the gatekeeper for data maps, ensuring data integrity and accessibility for stakeholders. Develop and maintain MIS dashboards Mentor the team and improve the overall performance of the team Preferred candidate profile Key skills / Abilities MSc in Statistics or a related quantitative field. Strong experience in statistical analysis, predictive modelling and data validation. Proficiency in Python and Power BI are necessary with experience of working in libraries used for numerical and text analysis such as Pandas, Numpy, PySpark, NLTK, SpaCy, Scikit-Learn, Genism. Experience of working with both parametric and non-parametric methods. Advanced knowledge of survey analytics and EDA techniques. Excellent communication skills for cross-functional collaboration. Experience with MIS dashboard development and KPI creation. High attention to detail and commitment to data quality. Experienced Required Experience working with app-based data and multi-project analytics environments. Familiarity with analyzing multiple survey data. Background in creating and managing KPIs aligned with business objectives. Exposure to big data technologies and cloud-based data platforms. Ability to work collaboratively in cross-functional teams involving product, research, and engineering stakeholders. Must have lead the data science team in past Experience of developing algorithm using combination of Data Science and statistics

What will your role look like Develop highly scalable applications in Python/Django framework and Azure experience Create and deploy applications in azure environment with various interconnected Azure components. Understand and enhance front-end applications using React JS, HTML5 and CSS3. Identify and fix bottlenecks that may arise from inefficient code. Knowledge of user authentication and authorization between multiple systems, servers and environments. Ensure that programs are written to the highest standards (e.g., Unit Tests) and technical specifications. Documentation of the key aspects of the project. Ability to collaborate on projects and work independently when required Why you will love this role Besides a competitive package, an open workspace full of smart and pragmatic team members, with ever-growing opportunities for professional and personal growth Be a part of a learning culture where teamwork and collaboration are encouraged, diversity is valued and excellence, compassion, openness and ownership is rewarded We would like you to bring along Experience as a developer in the required technologies Solid organizational skills, ability to multi-task across different projects Experience with Agile methodologies Skilled at independently researching topics using all means available to discover relevant information Ability to work in a team environment Excellent verbal and written communication skills Self-starter with ability to multi-task and to maintain momentum Python Django Developer with React and Azure Exposure

We have job opening for Python Developer with AWS in Tier 1 Company

Job Description: Key Responsibilities: Design and develop machine learning and deep learning systems using frameworks like TensorFlow, PyTorch, and Scikit-learn. Implement real-time systems for forecasting, optimization, and personalized recommendations. Research and apply advanced AI/ML techniques, including Generative AI models (e.g., GPT, LLaMA) and NLP architectures. Lead end-to-end machine learning projects, from problem framing to deployment and monitoring. Manage model lifecycle activities, including training, testing, retraining, and fine-tuning for optimal performance. Collaborate with analytics teams, practice leads, subject matter experts, and customer teams to understand business objectives and technical requirements. Conduct statistical analysis to address business challenges and drive innovation in AI/ML applications. Deploy machine learning applications on cloud platforms (e.g., GCP, Azure, AWS) and ensure seamless integration with existing systems. Monitor system performance, address data drift, and ensure scalability and adaptability to evolving requirements. Qualifications: Minimum 7+ years for Principal Data Scientist roles (3+ years for Data Scientist roles) with proven expertise in AI/ML, particularly in Generative AI, NLP, and computer vision. Proficient in Python, Java, and R. Strong expertise in TensorFlow, PyTorch, Scikit-learn, Django, Flask, Numpy, and Pandas. Comprehensive knowledge of data structures, SQL, multi-threading, and APIs (RESTful, OData). Hands-on experience with Tableau and Power BI for data visualization. Strong understanding of statistics, probability, algorithms, and optimization techniques. Experience deploying ML applications on GCP, Azure, or AWS. Familiarity with ERP/SAP integration, post-production support, and lifecycle management of ML systems. Industry experience in retail, telecom, or supply chain optimization is a plus. Exceptional problem-solving skills, strong leadership capabilities, and excellent communication skills.

"Strong working experience in python based Django,Flask framework. Experience in developing microservices based design and architecture. Strong programming knowledge in Javascript,HTML5, Python, Restful API, gRPC API Programming experience & object-oriented concepts in PYTHON. Knowledge of python libraries like Numpy, Pandas, Ppen3D, OpenCV, Matplotlib. Knowledge of MySQL/Postgres/MSSQL database. Knowledge of 3D geometry. Knowledge of SSO/OpenID Connect/OAuth authentication protocols. Working experience with version control systems like GitHub/BitBucket/GitLab. Familiarity with continuous integration and continuous deployment (CI/CD) pipelines. Basic knowledge of image processing. Knowledge of data-analysis, data science. Strong communication skills. Very good in analytical & logical thinking on different perspectives. Ability to handle challenges & resolve any blockers. Good team player & proactive in giving new ideas/suggestions/solutions & constructive analysis of team member"s ideas. Interested to working in a fast-paced, Agile software development team Good to Have: Knowledge of other programming language like C, C++. Knowledge of basics of machine-learning. Exposure to NoSQL Databases. Knowledge of GCP/AWS/Azure cloud" Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.

Implement Web applications in Python/Django Understanding project requirement & converting into technical requirements Independently do the coding/development of complex modules Independent contributor, high quality software within the timelines Ensure high quality releases through appropriate QC and QA activities Participate in technical discussions / reviews Works collaboratively and professionally with other associates in cross functional teams to achieve goals Qualifications 1.5-3 years relevant experience in developing applications for financial services clients 1-3 years of experience implementing web application in Python/ Django Knowledge of SciPy/NumPy/Pandas libraries in Python to develop quant models Good understanding of SDLC phases of application development Must be able to design and develop web applications using Open source technology (Python) Should have good understanding and exposure to unit testing. Job Location

Company: Covalensedigital Location: Pune Experience: 3.5 to 5 Years Hiring For: Consultant About the Role Covalensedigital is seeking a passionate and experienced Full Stack Developer to join our technology team. The ideal candidate will have strong backend development expertise in Python (Flask or Django), along with experience in MySQL, frontend development, and data visualization. You will be responsible for building and maintaining scalable internal tools and dashboards that support business operations and insights. Key Responsibilities Backend Development Develop RESTful APIs using Flask or Django Implement authentication, authorization, and business logic Write scalable and modular Python code Database Management Design and optimize MySQL schemas Perform migrations, indexing, and tuning for performance Frontend Development Build intuitive user interfaces with HTML, CSS, JavaScript Integrate frontend components with backend APIs Data Visualization Utilize Pandas, NumPy, Plotly, Matpand lotlib for analysis and dashboarding Deliver real-time insights through dynamic visualizations Deployment & DevOps Deploy applications on AWS (EC2, RDS, S3) Manage environment variables, backups, and basic CI/CD pipelines Required Skills Minimum 2 years of hands-on experience in Flask or Django Proficiency in MySQL (queries, joins, procedures) Strong understanding of REST APIs and JSON Experience in frontend development with HTML, CSS, JavaScript Data analysis and visualization using Pandas, NumPy, Plotly, Matplotlib AWS deployment experience Familiarity with Git and collaborative workflows Nice to Have Exposure to React or Vue.js Experience with Docker or containerised deployments Familiarity with background jobs (Celery, cron) Understanding of secure coding practices Immediate Joiners Preferred Work Location: Pune (Onsite/Hybrid as per project needs) Send your updated resume to: Email: kalaivanan.balasubramaniam@covalensedigital.com Thanks Kalai 8015302990

About the Role: Grade Level (for internal use): 09 Data Scientist Location: Bengaluru The Team: The Automotive Insights - Supply Chain and Technology and IMR department at S&P Global is dedicated to delivering critical intelligence and comprehensive analysis of the automotive industry's supply chain and technology. Our team provides actionable insights and data-driven solutions that empower clients to navigate the complexities of the automotive ecosystem, from manufacturing and logistics to technological innovations and market dynamics. We collaborate closely with industry stakeholders to ensure our research supports strategic decision-making and drives growth within the automotive sector. Join us to be at the forefront of transforming the automotive landscape with cutting-edge insights and expertise. Responsibilities: Develop and implement advanced analytical models to support S&P Global Mobility's SCT and IMR business strategies. Lead projects leveraging generative AI and intelligent agents to enhance predictive capabilities and automate complex processes. Collaborate with cross-functional teams to generate data-driven insights and solutions for the automotive sectors. Design and optimize data pipelines for efficient data processing and integration across various platforms. Mentor junior data scientists, providing guidance on best practices in data analysis and model development. Required Qualifications: Bachelors or masters degree in computer science, Analytics, Data Science, Statistics, or a related field. 3 to 6 years of experience in building Machine learning or Generative AI applications Proven experience with data analysis tools such as Python, R, or SQL. Strong understanding of machine learning algorithms and frameworks. Expertise in AWS cloud services, including data storage, processing, and machine learning solutions. Experience in deploying and managing machine learning models on AWS. Familiarity with MLOps practices and tools for model lifecycle management. Knowledge of generative AI techniques and applications. Understanding of data engineering and data pipeline optimization. Soft Skills: Excellent communication skills for effective collaboration with cross-functional teams. Strong problem-solving abilities with a proactive approach to challenges. Ability to work independently and manage multiple projects simultaneously. Adaptability to rapidly changing environments and emerging technologies. About S&P Global Mobility At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow. For more information, visit www.spglobal.com/mobility . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- , SWP Priority Ratings - (Strategic Workforce Planning)

Essential Duties Responsibilities: o Perform basic descriptive data analysis o Implement and assess different ways of data transformation o Formulate business problems into math/statistics/machine-learning problems o Build math/statistics/machine-learning models in a scientific way o Carry out hypothesis tests in a scientific way o Do model selection and model diagnostics o Actively participate in research meetings o Support the research team by creating desired datasets Qualifications: o Good communication skills o Excellent analytical and data science skills with strong attention to detail o Good Python programmers with good knowledge of pandas/numpy/sklearn o Graduate level math and statistics knowledge is preferred o Knowledge in machine learning, NLP knowledge is a plus o Ability to communicate complex information clearly o Ability to work independently o Team player and open to new ideas

Role ObjectiveWe are currently seeking a Lead - BI Analytics to contribute to Analytics & BI Development process. This is a hands-on technical and Individual Contributor role. This position requires that the candidate be a skilled on Advance Excel, SQL, Python and support on Reporting and Analytics applications. The candidate needs to have strong technical knowledge and be very structured and analytical in his/her approach.Essential Duties and ResponsibilitiesPrimary responsibility involves advanced SQL and advanced Excel report design and development.Publishing and scheduling SSIS\SSRS report as per the business requirements.Will be responsible for END TO END BI & Visualization solutions development and projects delivery across multiple clients.Drive the development and analysis of data, reporting automation, Dash boarding, and business intelligence programs.Would be supporting in consulting engagement and should be able to articulate and architect the solution effectively to bring-in the values which data analytics & visualization solution can deliver.Good understanding of database management systems and ETL (Extract, transform, load) frameworkConnecting to data sources, importing data and transforming data for Business Intelligence.Experience in using advance level calculations on the data set.Responsible for design methodology and project documentation.Able to properly understand the business requirements and develop data models accordingly by taking care of the resources.Should have knowledge and experience in prototyping, designing, and requirement analysis.QualificationsGraduate (BE-BTEC Computer science /BCA/MCA/MSc Computers) or have an equivalent academic qualificationGood communication Skills (both written & verbal)2+ years experience in Reporting and Analytics with Python, SQL and excel must have prior experience on Relational Database and BI developer using SQL server, SSIS, Power BI, Tableau, Advance Excel. Skill SetGood to have:Experience on Design and develop relational database models/schemas and Query performance tuning and write ad-hoc SQL queries.Exposure to Snowflake would be ab added advantageExperience with advanced query design, stored procedures, views, functions. Ability to communicate with technical and business resources at many levels in a manner that supports progress and success.Understanding of Python and different libraries - Pandas, Numpy etc Exposure to Cloud Computing such as Microsoft AzureGood knowledge/expertise on different versions of .Microsoft Sql Server 2008, 2012, 2016, 2017, 2020 Working in an evolving healthcare setting, we use our shared expertise to deliver innovative solutions. Our fast-growing team has opportunities to learn and grow through rewarding interactions, collaboration and the freedom to explore professional interests. Our associates are given valuable opportunities to contribute, to innovate and create meaningful work that makes an impact in the communities we serve around the world. We also offer a culture of excellence that drives customer success and improves patient care. We believe in giving back to the community and offer a competitive benefits package. To learn more, visitr1rcm.com Visit us on Facebook

R1 RCM India is proud to be recognized amongst India's Top 50 Best Companies to Work For TM 2023 by Great Place To Work Institute. We are committed to transform the healthcare industry with our innovative revenue cycle management services. Our goal is to make healthcare simpler and enable efficiency for healthcare systems, hospitals, and physician practices. With over 30,000 employees globally, we are about 14,000 strong in India with offices in Delhi NCR, Hyderabad, Bangalore, and Chennai. Our inclusive culture ensures that every employee feels valued, respected, and appreciated with a robust set of employee benefits and engagement activities. Role Objective We are currently seeking a Lead - BI Analytics to contribute to Analytics & BI Development process. This is a hands-on technical and Individual Contributor role. This position requires that the candidate be a skilled on Advance Excel, SQL, Pythonand support on Reporting and Analytics applications. The candidate needs to have strong technical knowledge and be very structured and analytical in his/her approach. Essential Duties and Responsibilities Primary responsibility involves advanced SQL and advanced Excel report design and development. Publishing and scheduling SSIS\SSRS report as per the business requirements. Will be responsible for END TO END BI & Visualization solutions development and projects delivery across multiple clients. Drive the development and analysis of data, reporting automation, Dash boarding, and business intelligence programs. Would be supporting in consulting engagement and should be able to articulate and architect the solution effectively to bring-in the values which data analytics & visualization solution can deliver. Good understanding of database management systems and ETL (Extract, transform, load) framework Connecting to data sources, importing data and transforming data for Business Intelligence. Experience in using advance level calculations on the data set. Responsible for design methodology and project documentation. Able to properly understand the business requirements and develop data models accordingly by taking care of the resources. Should have knowledge and experience in prototyping, designing, and requirement analysis. Qualifications Graduate (BE-BTEC Computer science /BCA/MCA/MSc Computers) or have an equivalent academic qualification Good communication Skills (both written & verbal) 2+ years experience in Reporting and Analytics with Python, SQL and excel must have prior experience on Relational Database and BI developer using SQL server, SSIS, Power BI, Tableau, Advance Excel. Skill Set Good to have: Experience on Design and develop relational database models/schemas and Query performance tuning and write ad-hoc SQL queries. Exposure to Snowflake would be ab added advantage Experience with advanced query design, stored procedures, views, functions. Ability to communicate with technical and business resources at many levels in a manner that supports progress and success. Understanding of Python and different libraries - Pandas, Numpy etc Exposure to Cloud Computing such as Microsoft Azure Good knowledge/expertise on different versions of .Microsoft Sql Server 2008, 2012, 2016, 2017, 2020 Working in an evolving healthcare setting, we use our shared expertise to deliver innovative solutions. Our fast-growing team has opportunities to learn and grow through rewarding interactions, collaboration and the freedom to explore professional interests. Our associates are given valuable opportunities to contribute, to innovate and create meaningful work that makes an impact in the communities we serve around the world. We also offer a culture of excellence that drives customer success and improves patient care. We believe in giving back to the community and offer a competitive benefits package. To learn more, visitr1rcm.com Visit us on Facebook

Required Skills & Qualifications: - 57 years of industry experience building and deploying machine learning models. - Strong proficiency with machine learning algorithms including XGBoost, linear regression, and classification models. - Hands-on experience with AWS SageMaker for model development, training, and deployment. - Solid programming skills in Python (and relevant libraries such as scikit-learn, pandas, NumPy, etc.). - Strong understanding of model evaluation metrics, cross-validation, hyperparameter tuning, and performance optimization. - Experience in working with structured and unstructured datasets. - Knowledge of best practices in model deployment and monitoring in a production environment (ML Ops desirable). - Familiarity with tools like Docker, Git, CI/CD pipelines, and AWS ML services. - Excellent problem-solving skills, critical thinking, and attention to detail. - Strong communication and collaboration skills. Nice to Have: - Experience with additional AWS services like Lambda, S3, Step Functions, CloudWatch. - Exposure to deep learning frameworks like TensorFlow or PyTorch. - Familiarity with DataOps practices and agile methodologies. Mandatory Competencies Data Science - Machine learning Python - Numpy Data Science - Python Python - Panda Data Science - AWS Sagemaker

Dear Aspirant! We empower our people to stay resilient and relevant in a constantly changing world. Were looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like youThen it seems like youd make a great addition to our vibrant international team. We are looking for Lead Software Engineer (AI ML Engineer) , Youll make an impact by Data Management and Integration Implement robust solutions for data storage and processing. Integrate AI solutions seamlessly into existing business processes. Build and maintain data pipelines for preprocessing, cleaning, and transforming data for AI applications. AI Model Development and Deployment Develop and deploy AI/ML models for applications such as predictive analytics, computer vision, NLP, and automation. Apply cloud hosting, edge devices, or hybrid solutions effectively. Design and optimize deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras. Train, fine-tune, and evaluate machine learning models to enhance accuracy and performance. Compliance and EthicsEnsure compliance with legal and regulatory requirements, and maintain fairness, transparency, and unbiased AI solutions. Ensure AI models are scalable, efficient, and adhere to ethical AI principles. Collaboration and Innovation Collaborate with software engineers to integrate AI models into production systems. Research and implement advanced AI technologies to improve business processes. Monitor and maintain AI systems, troubleshoot issues, and optimize model performance. Document AI workflows, processes, and standard methodologies for internal knowledge sharing. Use your skills to move the world forward! Degree in Artificial Intelligence, Data Science, or a related field. 6-10 Years of experience. Strong understanding of data management and infrastructure. Experience in deployment strategies and integration. Proficiency in AI/ML development and deployment. Strong programming skills in Python (preferred) or another AI-focused language. Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Knowledge of cloud platforms (AWS, Azure, GCP) for AI deployment. Familiarity with MLOps, model versioning, and deployment best practices. Experience working with large datasets and data engineering techniques. Strong problem-solving skills and the ability to work independently or collaboratively Advanced AI TechniquesExperience with reinforcement learning or generative AI models. Experience with Siemens AI Platform. Hands-on experience with AI-powered automation and decision-making systems. Knowledge of edge AI and deploying AI models on embedded systems. Create a better #TomorrowWithUs! This role is based in Chennai, where youll get the chance to work with teams impacting entire cities, countries - and the shape of things to come. Were Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow. Find out more about Siemens careers at Find out more about the Digital world of Siemens here /digitalminds

Overview We are seeking a highly skilled and experienced Azure open AI Archirtect to join our growing team. You will play a key role in designing, developing, and implementing Gen AI solutions across various domains, including chatbots. The ideal candidate for this role will have experience with latest natural language processing, generative AI technologies and the ability to produce diverse content such as text, audio, images, or video. You will be responsible for integrating general-purpose AI models into our systems and ensuring they serve a variety of purposes effectively. Task and Responsibilities Collaborate with cross-functional teams to design and implement Gen AI solutions that meet business requirements. Developing, training, testing, and validating the AI system to ensure it meets the required standards and performs as intended. Design, develop, and deploy Gen AI solutions using advanced LLMs like OpenAI Models, Open Source LLMs ( Llama2 , Mistral ,"), and frameworks like Langchain and Pandas . Leverage expertise in Transformer/Neural Network models and Vector/Graph Databases to build robust and scalable AI systems. Integrate AI models into existing systems to enhance their capabilities. Creating data pipelines to ingest, process, and prepare data for analysis and modeling using Azure services, such as Azure AI Document Intelligence , Azure Databricks etc. Integrate speech-to-text functionality using Azure native services to create user-friendly interfaces for chatbots. Deploying and managing Azure services and resources using Azure DevOps or other deployment tools. Monitoring and troubleshooting deployed solutions to ensure optimal performance and reliability. Ensuring compliance with security and regulatory requirements related to AI solutions. Staying up-to-date with the latest Azure AI technologies and industry developments, and sharing knowledge and best practices with the team. Qualifications Overall 8+ years combined experience in IT and recent 5 years as AI engineer. Bachelor's or master's degree in computer science, information technology, or a related field. Experience in designing, developing, and delivering successful GenAI Solutions. Experience with Azure Cloud Platform and Azure AI services such as Azure AI Search, Azure OpenAI , Document Intelligence, Speech, Vision , etc. Experience with Azure infrastructure and solutioning. Familiarity with OpenAI Models, Open Source LLMs, and Gen AI frameworks like Langchain and Pandas . Solid understanding of Transformer/Neural Network architectures and their application in Gen AI. Hands-on experience with Vector/Graph Databases and their use in semantic & vector search. Proficiency in programming languages like Python (essential). Relevant industry certifications, such as Microsoft CertifiedAzure AI Engineer, Azure Solution Architect etc. is a plus. Excellent problem-solving, analytical, and critical thinking skills. Strong communication and collaboration skills to work effectively in a team environment. A passion for innovation and a desire to push the boundaries of what's possible with Gen AI.

Educational Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Science,Bachelor Of Comp. Applications,Master Of Technology,Master Of Engineering,Master Of Comp. Applications,Master Of Science Service Line Engineering Services Responsibilities Evaluate the performance of machine learning models and refine them to improve accuracy andgeneralizability. Communicate data insights to stakeholders in a clear and concise manner, using data visualization techniques and storytelling. collaborate with data engineers, software developers, and business stakeholders to integrate data science solutions into products and services. Stay up-to-date with the latest trends and developments in data science, machine learning, and artificial intelligence. Additional Responsibilities: GExperience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD). Experience with data warehousing and data lakes solutions like BigQuery or Snowflake. Familiarity with real-time data processing and streaming analytics. Passion for learning and staying at the forefront of data science and machine learning advancements. Technical and Professional : Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, xgboost, and ensemble learning. Strong programming skills in Python and proficiency in data science libraries like pandas, scikit-learn, numpy, Pytorch/Keras, and TensorFlow. Experience with cloud computing platforms, particularly Google Cloud Platform (GCP). Excellent data visualization skills using tools like matplotlib, seaborn, or Tableau. Strong communication and presentation skills, both written and verbal. Preferred Skills: Technology-Analytics - Techniques-Cluster Analysis Technology-Analytics - Techniques-Decision Trees Technology-Analytics - Techniques-Linear Regression Technology-Machine Learning-Python

Design, develop, and deploy machine learning models and algorithms using Python. Implement computer vision solutions for image and video analysis. Develop natural language processing (NLP) applications for text analysis and understanding. Utilize analytics workbench tools to create and manage data pipelines and workflows. Collaborate with data scientists, software engineers, and other stakeholders to understand project requirements and deliver effective solutions. Conduct research and stay updated with the latest advancements in AI and ML technologies. Ensure the scalability and performance of AI/ML solutions through rigorous testing and optimization. : Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as an AI/ML Engineer or similar role. Strong proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in computer vision techniques and tools (e.g., OpenCV, YOLO, Mask R-CNN). c (e.g., NLTK, spaCy, Transformers). Familiarity with analytics workbench tools and data pipeline management. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Knowledge of big data technologies (e.g., Hadoop, Spark).

AIML Lead/ ArchitectJDDesign, develop, and deploy machine learning models and algorithms using Python. Develop natural language processing (NLP) applications for text analysis and understanding. Utilize analytics workbench tools to create and manage data pipelines and workflows. Collaborate with data scientists, software engineers, and other stakeholders to understand project requirements and deliver effective solutions. Conduct research and stay updated with the latest advancements in AI and ML technologies. Ensure the scalability and performance of AI/ML solutions through rigorous testing and optimization. : Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as an AI/ML Engineer or similar role. Strong proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with NLP frameworks and libraries (e.g., NLTK, spaCy, Transformers). Familiarity with analytics workbench tools and data pipeline management. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Knowledge of Gen AI/ LLMs Preferrable. Certification in AI/ML or related technologies.

1. Data Engineer Azure Data Services 2. Data Modelling NO SQL and SQL 3. Good understanding of Spark, Spark stream 4. Hands on with Python / Pandas / Data Factory / Cosmos DB / Data Bricks / Event Hubs / Stream Analytics 5. Knowledge of medallion architecture, data vaults, data marts etc. 6. Preferably Azure Data associate exam certified.

1. Data Engineer Azure Data Services 2. Data Modelling NO SQL and SQL 3. Good understanding of Spark, park stream 4. Hands on with Python Pandas / Data Factory / Cosmos DB / Data Bricks / Event Hubs / Stream Analytics 5. Knowledge of medallion architecture, data vaults, data marts etc. 6. Preferably Azure Data associate exam certified.

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark)In-depth knowledge of Spark’s architecture, core APIs, and PySpark for distributed data processing. Big Data TechnologiesFamiliarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modelling, and data warehousing concepts. Strong proficiency in PythonExpertise in Python programming with a focus on data processing and manipulation. Data Processing FrameworksKnowledge of data processing libraries such as Pandas, NumPy. SQL ProficiencyExperience writing optimized SQL queries for large-scale data analysis and transformation. Cloud PlatformsExperience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing

We are seeking a highly skilled Python Developer with strong expertise in AWS Athena to join our data engineering team with 5years to 7 years experience. The successful candidate will be responsible for building and maintaining data pipelines, optimizing queries on large-scale datasets, and integrating AWS Athena with Python-based applications. This role is ideal for developers who thrive in cloud-native, data-intensive environments.

Combine interface design concepts with digital design and establish milestones to encourage cooperation and teamwork. Develop overall concepts for improving the user experience within a business webpage or product, ensuring all interactions are intuitive and convenient for customers. Collaborate with back-end web developers and programmers to improve usability. Conduct thorough testing of user interfaces in multiple platforms to ensure all designs render correctly and systems function properly. Converting the jobs from Talend ETL to Python and convert Lead SQLS to Snowflake. Developers with Python and SQL Skills. Developers should be proficient in Python (especially Pandas, PySpark, or Dask) for ETL scripting, with strong SQL skills to translate complex queries. They need expertise in Snowflake SQL for migrating and optimizing queries, as well as experience with data pipeline orchestration (e.g., Airflow) and cloud integration for automation and data loading. Familiarity with data transformation, error handling, and logging is also essential.

1. Dataiku exp of at least 1.5-2 years. Good to know on creating and handling partitioned dataset in Dataiku. 2. Good with Python, data handling using pandas, numpy (Pandas and numpy are must and must know it in depth) and basics of regex. 3. Should be able to work on GCP big query and use terraform as base for managing the code changes.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP), Java, Spring MVC Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into cohesive systems that address complex challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP).- Strong understanding of machine learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with data preprocessing techniques and tools for text data.- Ability to design and implement APIs for AI applications. Additional Information:- The candidate should have minimum 12 years of experience in Natural Language Processing (NLP).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education