889 Pandas Jobs - Page 33

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Key Responsibilities ETL Development & AI Data Pipelines: Design and develop ETL processes to extract, transform, and load data from various sources for ML model training and inference Create data pipelines that can efficiently handle structured and unstructured data for AI applications Work with data scientists to implement feature engineering transformations at scale Machine Learning Operations: Assist in developing automated ML workflows for model training, evaluation, and deployment Implement basic model monitoring and observability solutions Create scripts to automate data preparation for ML model development Python Development: Write efficient Python scripts leveraging data science and ML libraries (pandas, scikit-learn, etc.) Develop reusable code modules for data processing and basic ML operations Maintain and optimize existing Python codebases Automation & Orchestration: Build automation frameworks to streamline ML model deployment and monitoring Implement data validation tests to ensure data quality for ML models Create workflow orchestration solutions for end-to-end ML pipelines Collaboration: Work closely with data scientists to understand model requirements and implementation needs Collaborate with cross-functional teams to integrate ML solutions into business applications Participate in code reviews and knowledge sharing sessions Qualifications Education: Bachelor's degree in Computer Science, Data Science, Information Technology, or related field Relevant certifications in data engineering, machine learning, or cloud technologies are a plus Experience: 1-2 years of experience in ETL development, Python programming, and data engineering Exposure to machine learning workflows and basic ML operations Experience with ETL tools such as Apache NiFi, Talend, or similar platforms Technical Skills: Proficiency in Python with experience using data processing libraries (pandas, NumPy) Knowledge of ML libraries like scikit-learn, TensorFlow, or PyTorch Experience with SQL and relational databases Basic understanding of cloud data services (AWS, Azure, or GCP) Familiarity with version control systems (Git) and CI/CD concepts Understanding of data quality practices for ML applications Soft Skills: Strong problem-solving abilities and analytical mindset Good communication skills and ability to work in cross-functional teams Self-motivated with eagerness to learn new technologies Primary Skill Set ETL & Data Pipeline Development: 1-2 years Designing and implementing data pipelines for analytics and ML Experience with ETL tools and data integration patterns Ability to handle various data formats and sources Python Programming & ML Libraries: 1-2 years Proficiency in Python with focus on data manipulation and processing Experience with pandas, NumPy, and scikit-learn Basic knowledge of ML frameworks (TensorFlow/PyTorch) Machine Learning Operations: 0-1 year Basic understanding of ML model deployment workflows Experience with model serving and monitoring Knowledge of feature engineering techniques Data Management for AI Applications: 1-2 years Experience with datasets preparation for machine learning Knowledge of data quality and validation techniques Understanding of data versioning and lineage tracking Automation & Orchestration: 1-2 years Experience building automated workflows for data processing Knowledge of workflow orchestration tools (Airflow, Prefect, etc.) Ability to implement testing frameworks for data pipelines

Role & responsibilities Extensive hands-on on Python/ Groovy development • Ability to debug and write new scripts using Python, Pandas, NumPy, MATLAB, Ruby. • Strong OOP experience. • Expertise in at least one popular Python framework (like Django, Flask, or Pyramid) • Expertise in Front-End like HTML, React, RESTful API • Exposure to DevOps practices and tool chains GitLab/Jenkins pipeline for CI/CD. Programming: Python, Pandas, NumPy, PySpark, Object Oriented Principles , Multi-threading concepts • DevOps: GitLab pipeline, SonarQube, Coverity, Docker, Kubernetes, Terraform, CI/CD • Web Technologies: Flask, Django , HTML, React, RESTful API • Database: MySQL, MongoDB, Microsoft SQL Server Management • Misc: Tableau, PyQT5

Python Developer(Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn, and PyTorch) As part of the team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organizations financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers.

Overview Annalect is seeking a hands-on Data QA Manager to lead and elevate data quality assurance practices across our growing suite of software and data products. This is a technical leadership role embedded within our Technology teams, focused on establishing best-in-class data quality processes that enable trusted, scalable, and high-performance data solutions. As a Data QA Manager, you will drive the design, implementation, and continuous improvement of end-to-end data quality frameworks, with a strong focus on automation, validation, and governance. You will work closely with data engineering, product, and analytics teams to ensure data integrity, accuracy, and compliance across complex data pipelines, platforms, and architectures, including Data Mesh and modern cloud-based ecosystems. This role requires deep technical expertise in SQL, Python, data testing frameworks like Great Expectations, data orchestration tools (Airbyte, DbT, Trino, Starburst), and cloud platforms (AWS, Azure, GCP). You will lead a team of Data QA Engineers while remaining actively involved in solution design, tool selection, and hands-on QA execution. Responsibilities Key Responsibilities: Develop and implement a comprehensive data quality strategy aligned with organizational goals and product development initiatives. Define and enforce data quality standards, frameworks, and best practices, including data validation, profiling, cleansing, and monitoring processes. Establish data quality checks and automated controls to ensure the accuracy, completeness, consistency, and timeliness of data across systems. Collaborate with Data Engineering, Product, and other teams to design and implement scalable data quality solutions integrated within data pipelines and platforms. Define and track key performance indicators (KPIs) to measure data quality and effectiveness of QA processes, enabling actionable insights for continuous improvement. Generate and communicate regular reports on data quality metrics, issues, and trends to stakeholders, highlighting opportunities for improvement and mitigation plans. Maintain comprehensive documentation of data quality processes, procedures, standards, issues, resolutions, and improvements to support organizational knowledge-sharing. Provide training and guidance to cross-functional teams on data quality best practices, fostering a strong data quality mindset across the organization. Lead, mentor, and develop a team of Data QA Analysts/Engineers, promoting a high-performance, collaborative, and innovative culture. Provide thought leadership and subject matter expertise on data quality, influencing technical and business stakeholders toward quality-focused solutions. Continuously evaluate and adopt emerging tools, technologies, and methodologies to advance data quality assurance capabilities and automation. Stay current with industry trends, innovations, and evolving best practices in data quality, data engineering, and analytics to ensure cutting-edge solutions. Qualifications Required Skills 11+ years of hands-on experience in Data Quality Assurance, Data Test Automation, Data Comparison, and Validation across large-scale datasets and platforms. Strong proficiency in SQL for complex data querying, data validation, and data quality investigations across relational and distributed databases. Deep knowledge of data structures, relational and non-relational databases, stored procedures, packages, functions, and advanced data manipulation techniques. Practical experience with leading data quality tools such as Great Expectations, DbT tests, and data profiling and monitoring solutions. Experience with data mesh and distributed data architecture principles for enabling decentralized data quality frameworks. Hands-on experience with modern query engines and data platforms, including Trino/Presto, Starburst, and Snowflake. Experience working with data integration and ETL/ELT tools such as Airbyte, AWS Glue, and DbT for managing and validating data pipelines. Strong working knowledge of Python and related data libraries (e.g., Pandas, NumPy, SQLAlchemy) for building data quality tests and automation scripts.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable, more inclusive world About The Role Understanding of Generative AI (LLMs, diffusion models, transformers, NLP, multimodal AI, etc.). Knowledge of Agentic AI principles, including autonomous agents, reinforcement learning, prompt engineering, and AI-driven decision-making. Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, OpenAI APIs, Hugging Face, etc. Understanding of AI infrastructure (cloud platforms like AWS, Azure, GCP) and MLOps best practices. Primary Skills Generative AI NLP Machine Learning Secondary Skills Python PySpark R

S&P Global Dow Jones Indices The Role : Senior Lead Development Engineer Python S&P Dow Jones Indices a global leader in providing investable and benchmark indices to the financial markets, is looking for a Senior Lead Development Engineer to join our technology team. The Team : You will be part of global technology team comprising of Dev, QA and BA teams and will be responsible for analysis, design, development and testing. Responsibilities and Impact : You will be working on one of the key systems that is responsible for calculating re-balancing weights and asset selections for S&P indices. Ultimately, the output of this team is used to maintain some of the most recognized and important investable assets globally. Design and development of Python applications deployed to AWS cloud services. Interface with UI application(s), RESTful interfaces, and diagnose issues. Coding, Documentation, Testing, Debugging, Documentation and level 3 support. Taking ownership of code modules and leading code review processes. Work directly with stakeholders and technical architect to formalize/document requirements for both supporting existing application as well as new initiatives. Perform Application & System Performance tuning and troubleshoot performance issues. Define and refine task definition, delegate tasks to team, and conduct code reviews / pull requests. Supervising and mentoring less experienced team member. Whats in it for you : This is an opportunity to work on a team of highly talented and motivated engineers at a highly respected company. You will work on new development as well as enhancements to existing functionality. What Were Looking For : Basic Qualifications : 10 - 12 years of IT experience in application development and support. Bachelor's degree in Computer Science, Information Systems, Engineering or, or in lieu, a demonstrated equivalence in work experience. Expert in modern Python 3.10 and late (minimum 5 years dedicated Python experience). Expertise in related Python libraries including Pandas, Numpy, Pydantic Experience with developing, troubleshooting distributable Python libraries. Backend services development including distributed libraries and packages in Python. Experience with AWS and cloud services including SQL databases, particularly PostgreSQL. Experience with DevOps and CI/CD processes (Jenkins, GitHub actions, etc.). Experience with software testing (unit testing, integration testing, test driven development). Strong Work Ethic, Communication and Thoughtfulness Additional Preferred Qualifications : Strong mathematics stills and understanding of financial markets (stocks, funds, indices, etc.) Algorithm development or rules engine experience is helpful. Demonstrated ability to solve complex, highly detailed business problems through software engineering skills (not just a coder / scripter but can work on system-wide problems). Basic understanding of creating calculation services that are consumed in a cloud environment over RESTful API. Prior ETL (Extract Transform Load) experience is helpful, but candidates should first be an experienced software engineer, and second very strong at analyzing data.

The 2-month online internship program is offered by leading scientists of Gilbert Research Center . Gilbert Research Center is one of the most reputed and notable research centres in India. What you'll learn from this Online-Internship Basics of Mathematics - Linear Algebra, Probability, Differential Equations Fundamentals of Python Programming Language Fundamentals of Statistics, Statistical Power Analysis & Optimization. Machine Learning Algorithms - Linear, Multiple, Non-Linear Regression, Correlation, Gradient Descent & PCA Fundamental of Neural Networks, Convolution & Deep Learning ( CNN - Convolutional Neural Network). Image Processing, Medical Image Processing - X-ray modality. Industry-relevant projects discussion and implementation, fundamental programming assignments, and attending mentorship sessions of our Scientists. You'll get basic and complete Industry-related knowledge for your recruitment process at Gilbert Research Center , career shift , and other job opportunities . You'll get core knowledge of machine learning & data science from a leading scientist. This program definitely boosts your professional career and promotion. Every candidate will get a Verified Certificate & Letter of Recommendation from a Scientist at Gilbert Research Center. Stipends will be provided to all students based on their assignment performance. Our internship provide to grab a job at Gilbert Research Center, a software industry, fin-tech company based on data science and machine learning. Every candidate will get a Verified Certificate & Letter of Recommendation from a Scientist at Gilbert Research Center. Stipends will be provided to all students based on their performance. Our internship provides a bridge to grab a job opportunity in a software or fin-tech company based on data science and machine learning. Job Role Assigned with Mentorship with Scientist: One of the most reputed research centres in India, Gilbert Research Center invites high-level top leading Internship positions in organizations. It's an Online-Internship Programme. The working location is completely Online . You don't need to switch your locations. It's an Internship Programme working 2 -Months Programme. Our high-level Internship Programme will be mentored and guided by the leading Scientists of Gilbert Research Center. Your role would be to lead a high-level Internship Programme by allocating Industry relevant projects, fundamental programming assignments, and attending mentorship classes of our Scientists. Youll have experience collaborating with our leading Scientists to make your career as Industry-Academic. You'll get top experience in Industry Readiness & Trending topics . Selection is based on a pure merit basis. The interview will be conducted for Shortlisting applicants.

Overview Annalect India is seeking a Finance Operations Analyst (Python Engineer & Programmer + Data Analytics) with strong technical and analytical skills to help support the business finance teams that continues to deliver strong financial performance. This might be a great fit if you have a strong flair of automations and dashboards preparation skills and would like to be part of a growing team. You will be closely working with our Global Agency Finance teams. Shift Timing:Night shift (06:30 PM - 03:30 AM) Location: Hyderabad only Mode: Hybrid (3 days working from office in a week) Experience: 4-7 years only **Freshers are not considered About Annalect India We are an integral part of Annalect Global and Omnicom Group, the second largest advertising agency holding company in the world in terms of revenue and is the leading global marketing communications company. Our portfolio includes: three global advertising agency networks: BBDO, DDB and TBWA; three of the world’s premium media services: OMD, PHD and Hearts & Science. Annalect India plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Sciences (data & analytics), Bunisess Support Services, Market Research and Media Services. Responsibilities This is an exciting role and would entail you to Technical Software Engineeringt: Programming Languages : Proficient in Python, Java, SQL, JavaScript, and C++; experience with frameworks such as Flask, Django, React, and Node.j is a plus Data Analysis & Visualization : Skilled in using tools like Excel (advanced), Power BI, and pandas for processing and visualizing data. Automation & Scripting : Experience with task automation using Python and shell scripting to streamline workflows and reduce manual processes. Version Control & Collaboration : Strong command of Git/GitHub for version control Risk Management: Identify, communicate, and manage project risks within and across teams. Escalate risks as needed and lead efforts to mitigate them. Ability to manage expectations Proficient in unit, integration, and performance testing in regard to programs, automation, and engineering project life-cycles Communication: Ability to communicate with both the team and management regarding the status of current project initiatives; Communicate with project lead regarding project health, status, and risks Ability to work closely with team members on collaborative initiatives, both on individual projects and on teamwide projects Qualifications This may be the right role for you if you have Bachelors or Post Graduate Degree in any stream with 4-5 years of proven programming and software engineering experience, primarily within the finance space. This candidate should have high level expertise in Python, and relatively high level expertise in multiple other programming languages, including but not limited to Java, SQL, and R., to design, develop, and optimize scripts/programs to automate manual reporting processess. The ideal candidate will be responsible for developing robust scripts and programs that allow us to fully automate our financial reporting, and implementing scalable solutions that align with business objectives and regulatory requirements. The goal is to reduce the team’s current time spent in producing financial reports, but to also produce automated solutions for all projects that can be automated, including ad-hoc reports. The candidate must also possess excellent problem-solving skills , the ability to work collaboratively across cross-functional teams, and a commitment to delivering high-quality solutions within tight deadlines.

Job TitleAI/ML Engineer and Developer Location: Bengaluru, Karnataka, India Job Type: Full-Time About The Role : Introduction : We are seeking a passionate and innovative AI/Machine Learning Engineer to join our IT organization as part of a dynamic cross-functional team. In this role, you will develop, train, tune, and optimize machine learning models, deploy them into production, and ensure their scalability. You will also develop applications that integrate AI models into existing products or create new AI-powered solutions to enhance the capabilities and efficiency of our Marketing, Sales, and Communications teams. Key Responsibilities: Machine Learning Model Development and Integration: o Build end-to-end machine learning pipelines, from data ingestion to deployment. o Design, train, and evaluate ML models, including custom models and AutoML / pycaret /ML Flow solutions. o Implement CI/CD processes for model deployment and continuously monitor model performance. o Develop and deploy machine learning models to address specific challenges within the Marketing, Sales, and Communications domains. o Work with large and complex data sets to build models that enhance decision-making, customer segmentation, predictive analytics, and personalization efforts. o Seamlessly integrate ML models into existing API-based systems to ensure efficient consumption by business applications. Performance Monitoring and Optimization: o Continuously monitor the performance of machine learning models in production environments. o Refine and optimize models based on performance data and evolving business needs. o Explore new tools, techniques, and data sources to enhance the capabilities of ML models within the business context. Collaboration and Stakeholder Engagement: o Collaborate with the data team to define data requirements for model training and evaluation. o Work closely with developer teams to provide guidance on API architecture development, ensuring alignment with ML strategy. o Partner with API developers to design and implement APIs that provide access to machine learning insights. o Engage with business teams to understand their needs and deliver ML solutions that add tangible value. o Communicate complex ML concepts and the benefits of ML projects to non-technical stakeholders effectively. Required Qualifications: o Bachelor's or master"™s degree in computer science, Data Science, Engineering, or a related field, with 56 years of IT experience, including a minimum of 34 years of relevant experience as ML AI Developer. o Design, develop, and implement advanced machine learning and statistical models to solve complex business problems. o Explore and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets. o Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. o Perform statistical analysis, hypothesis testing, and A/B testing to evaluate the effectiveness of models and algorithms. o Should understand Dockerization, Kubernetes and REST APIs o Proficiency in full-stack development, API integration, and cloud-native development. o Strong knowledge of machine learning algorithms, statistics, and model optimization. o Familiarity with LLM/ SLM, MLOps tools (e. g. , Azure ML, Databricks, Kubeflow, MLflow). o Expertise in model deployment frameworks (e. g. , TensorFlow, PyTorch, Pycaret) and DevOps for AI. o Proficiency in programming languages such as Python or R. o Experience with API development and integration (preferably Azure API) o Understanding Hierarchical multi agent structure, RAG , LLM evaluation framework o Proficiency in visualizing data storylines and conducting in-depth data analysis with frameworks (e.g. Plotly, dash) Good to Have o Experience in developing ML solutions for marketing, sales, or communications. o Knowledge of cloud services (AWS, Azure, Google Cloud) and their machine learning offerings. o Demonstrated ability to work in cross-functional teams and manage projects. o Familiarity with agile development methodologies. You"™ll win us over by 3+ years of experience in Artificial Intelligence domain with a proven track record of developing and implementing various ML based solutions. B. Tech or master"™s in data science, Computer Science, Statistics or a related field Strong programming skills in languages such as Python, R, or C++. Should be familiar libraries and concepts such as Tensorflow , Pytorch, Keras, Sklearn, pycaret, Statmodels, Pandas, Numpy, Scipy, SQL, HQL or similar. Proficient in the use of NLP/Analytics tools Proactive and willing to learn new technologies. Excellent verbal, written and presentation skills.

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.

Diverse Lynx is looking for Python Developer to join our dynamic team and embark on a rewarding career journey Coordinating with development teams to determine application requirements. Writing scalable code using Python programming language. Testing and debugging applications. Developing back-end components. Integrating user-facing elements using server-side logic. Assessing and prioritizing client feature requests. Integrating data storage solutions. Reprogramming existing databases to improve functionality. Developing digital tools to monitor online traffic. Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical solutions. Python Developer, Rest API, Flask, Assess code and feature change requests Testing and debugging software applications with Python test framework tools

Diverse Lynx is looking for Python Developer to join our dynamic team and embark on a rewarding career journey Coordinating with development teams to determine application requirements. Writing scalable code using Python programming language. Testing and debugging applications. Developing back-end components. Integrating user-facing elements using server-side logic. Assessing and prioritizing client feature requests. Integrating data storage solutions. Reprogramming existing databases to improve functionality. Developing digital tools to monitor online traffic. Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical solutions. Python Amazon Web Service(AWS) Cloud Computing Machine Learning PySpark PL/SQL

Implementation of AI/ML algorithms and frameworks Involvement in data collection, profiling, data preparation and curation of data AI Model development, experimentation, tuning validation Propose ML based solution approaches estimates for new use cases Programming: Python, SQL AI domains - NLP, computer vision Learning patterns supervised, unsupervised Knowledge of datasets, pre-built models available in open community and 3rd party providers Minimum Qualifications and Experience: BE/BTech in any engineering discipline with experience in applied AI/ML aspects will be highly desirable Required Expertise: Familiarity with AI/ML frameworks including Numpy, Scikit libraries Other terms: The position is contractual, full time in nature and subject to periodic performance reviews

Diverse Lynx is looking for Python Developer to join our dynamic team and embark on a rewarding career journey Coordinating with development teams to determine application requirements. Writing scalable code using Python programming language. Testing and debugging applications. Developing back-end components. Integrating user-facing elements using server-side logic. Assessing and prioritizing client feature requests. Integrating data storage solutions. Reprogramming existing databases to improve functionality. Developing digital tools to monitor online traffic. Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical solutions.

About The Role : Job TitleSenior Engineer, AVP LocationPune, India Role Description The candidate in this role will architect, design, develop application code, implement technical solutions, and configure applications in different environments in response to business problems. To meet the requirements of the business, the candidate will actively participate in architecture design, application development lifecycle, investigate issues (bugs/performance), propose solutions, promote re-usability of existing components, and contribute to the creation of frameworks. The candidate will assist junior members of the team and guide them as applicable. Knowledge of Trade finance domain will be an advantage. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Lead the migration of our current ML workflow to GCP using products including DocAI Support business and key stakeholders to make data-driven decisions Identify and drive potential AI/ML use cases to improve the efficiency of various Trade Finance products Mentor and support junior data scientists Your skills and experience Proficiency in common data science languages - Python preferred Experience in Google Doc AI, Gemini or other state-of-the-art LLMs is necessary Experience on developing an LLM-based application is preferred Professional experience on projects involving machine learning - preferably Natural Language Processing or Computer Vision Knowledge of common frameworks like numpy, sklearn, pandas, tensorflow Familiarity with agile software development practices Desire to learn and adapt to new technology Strong analytical skills, with a university degree in Computer Science, Data Science, Mathematics, Physics or similar How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

About The Role : Job TitleEngineer, AVP LocationPune, India Role Description The candidate in this role will architect, design, develop application code, implement technical solutions, and configure applications in different environments in response to business problems. To meet the requirements of the business, the candidate will actively participate in architecture design, application development lifecycle, investigate issues (bugs/performance), propose solutions, promote re-usability of existing components, and contribute to the creation of frameworks. The candidate will assist junior members of the team and guide them as applicable. Knowledge of Trade finance domain will be an advantage. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Support business and key stakeholders to make data-driven decisions Work with the team on AI/ML solutions to improve the efficiency of various Trade Finance products Support with the migration of existing ML workflow to GCP using products such as DocAI Your skills and experience Experience using common languages used in data science preferably Python Experience in Google Doc AI, Gemini or other state-of-the-art LLMs is necessary Knowledge of AI/ML concepts beneficial - especially Natural Language Processing, Document Understanding and Computer Vision Knowledge of common frameworks like numpy, sklearn, pandas, tensorflow Familiarity with agile software development practices Desire to learn and adapt to new technology Strong analytical skills, with a university degree in Computer Science, Data Science, Mathematics, Physics or similar How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Experience Range: 2-3 years Hiring Location: Bangalore Must-Have Skills: Proficiency in Java and/or Python with strong OOP concepts Solid experience with SQL and relational databases (e.g., MySQL, PostgreSQL) Experience with Spring Framework (for Java) or Django/Flask (for Python) Basic understanding of Unix shell scripting Strong analytical , problem-solving , and communication skills Proficiency with version control systems like Git Good-to-Have Skills: Knowledge of Hibernate , JPA , or Pandas Experience with NoSQL databases such as MongoDB or Cassandra Familiarity with front-end technologies like HTML, CSS, JavaScript and frameworks such as React, Angular, Vue.js Hands-on experience with RESTful API development Exposure to test automation frameworks like JUnit , PyTest Experience with CI/CD tools such as Jenkins , GitLab Familiarity with cloud platforms (AWS, Azure, GCP) Experience in the investment banking domain Required Skills Java/Python,OOPS,SQL

Role Overview: We are seeking AI/ML Interns or Freshers who are passionate about Artificial Intelligence and Machine Learning, and excited to apply their knowledge to real-world enterprise problems. Youll gain hands-on experience, work on live projects, and have a pathway to a full-time role based on your performance. What Youll Do: Assist in designing and developing machine learning models and AI-based solutions Work on data preprocessing, feature engineering, and model training/evaluation Collaborate with development teams to integrate AI modules into enterprise software Research and experiment with new algorithms and frameworks Help build tools for data visualization, analysis, and insights Skills & Qualifications: Solid understanding of Python and key libraries (NumPy, Pandas, Scikit-learn, etc.) Exposure to Machine Learning and Deep Learning concepts Familiarity with frameworks like TensorFlow, Keras, or PyTorch is a plus Basic understanding of data structures and algorithms Curiosity, problem-solving mindset, and a willingness to learn Eligibility: Final semester students pursuing a degree in Computer Science / Data Science / Engineering OR Recent graduates with a background or strong interest in AI/ML/For vododra only Why Join UsWork on cutting-edge AI solutions for enterprise clients Mentorship from experienced AI professionals Opportunity to convert to a full-time role post-internship A collaborative and innovation-driven environment

About Company: Avisoft (https://avisoft.io/) is a Technology and IT services company based in Mohali and Jammu serving clients globally. We offer Product Engineering, IT Consultancy, Project Outsourcing and Staff Augmentation services. We partner with businesses to design and build Tech platforms from scratch, or to re-engineer and modernize their legacy systems. Our teams have expertise in Full Stack Technologies, REST API Servers, Blockchain, DevOps, Cloud Technologies, Data Engineering, and Test Automation. We are building next gen SaaS platforms for e-commerce and health-tech domains. About the Role: We are seeking a highly skilled Python Developer with a minimum of 4+ years of experience to join our team. In this role, you will play a key part in designing and implementing functional requirements, building efficient back-end features, managing testing and bug fixes, and providing mentorship to junior team members. Your expertise in Python development, knowledge of design patterns, and experience with testing frameworks such as pytest or unit test will be crucial in contributing to the success of our projects. In addition, you will leverage AI/ML technologies to enhance our data processing and application solutions. Responsibilities: Design and implement functional requirements for software applications. Develop robust and efficient back-end features using Python. Integrate AI/ML models and algorithms to solve complex business problems and enhance product functionality. Oversee testing processes, addressing and resolving bugs using frameworks like pytest or unittest. Prepare comprehensive technical documentation for reference. Mentor and coach junior team members, sharing your knowledge and experience. Actively participate in code reviews and discussions to ensure code quality. Implement software enhancements and suggest improvements for ongoing projects. Collaborate with cross-functional teams to integrate AI/ML models into existing applications. Skills: Proven experience as a Python Developer with a minimum of 4 years in a similar role. Excellent understanding and application of design patterns in software development. Strong experience with testing frameworks, preferably pytest or unittest. Familiarity with data processing frameworks such as pandas, pyspark, or similar. AI/ML experience, with expertise in integrating machine learning models into applications. Experience with cloud platforms, particularly Amazon Web Services (AWS), including AWS Glue and AWS Sagemaker for deploying models. Solid understanding of databases and SQL. Familiarity with building back-end solutions and APIs for machine learning models. Experience with AI/ML libraries such as TensorFlow, PyTorch, and Scikit-learn. Exceptional attention to detail in coding and problem-solving. Demonstrated leadership skills and ability to guide and motivate a team. Familiarity with React for front-end integration with AI/ML-driven back-end services. Bachelor's degree in Computer Science, Information Technology, or a related field. Skills : - Python Developer ,AI ,Machine Learning ,Backend Development ,AWS ,Sage maker ,AWS Glue ,Data Processing ,Pandas ,PySpark ,Design Patterns ,Unit Testing ,pytest ,unit test ,Cloud Platforms ,SQL ,NoSQL ,Model Deployment ,Scalable Applications ,Software Development, Python, AI/ML Integration, TensorFlow/PyTorch/Scikit-learn, Backend Development, AWS (Sagemaker, Glue), Pandas/PySpark, Design Patterns, Unit Testing (pytest, unittest), SQL, Model Deployment, Cloud Platforms (AWS, Google Cloud, Azure). Location : - Remote, Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune

machine learning algorithms and deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Proficiency in Python data processing libraries (Pandas, NumPy) Knowledge of cloud platforms like AWS, GCP, or Azure NLP,LLM,GenAI

Job Title: Data Analyst Experience: 5 8 Years Location: Bangalore (BLR) Notice Period: Immediate to 15 Days Job Summary: We are looking for a seasoned Data Analyst with 5–8 years of professional experience to join our analytics team in Bangalore. The ideal candidate will have strong technical expertise in SQL, Python, data visualization tools, and statistical analysis. You will play a crucial role in uncovering insights that drive strategic business decisions. Key Responsibilities: Analyze complex datasets to extract actionable insights aligned with business objectives. Build, optimize, and maintain dashboards and reports using BI tools. Write complex SQL queries for data extraction, transformation, and reporting. Apply statistical techniques to identify trends, patterns, and anomalies. Collaborate with product managers, engineers, and other stakeholders to define metrics and KPIs. Automate data workflows and streamline reporting processes. Present findings and recommendations to senior leadership in a clear and concise manner. Mandatory Technical Skills: SkillDescription SQL Advanced query writing, joins, aggregations, window functions Python Data manipulation with Pandas, NumPy; basic scripting; data visualization Data Visualization Hands-on with Power BI , Tableau , or LookerExcel Advanced functions (VLOOKUP, pivot tables, macros) Statistics Hypothesis testing, regression, forecasting ETL/Data Pipelines Understanding of data ingestion and transformation processes Cloud (Preferred) Basic knowledge of AWS/GCP/Azure data services Preferred/Bonus Skills: R for statistical computing Experience with big data tools (Spark, Hive) Exposure to A/B testing and predictive modeling Familiarity with data warehousing concepts and tools like Snowflake or Redshift Experience working with version control (Git) and Agile methodologies

Position/Title: Trainee - Data Science Location: Hyderabad Department: Dev/Engineering Employment type: Trainee Experience: Fresher-2 years Qualification: Graduate in Data Science, Computer Science, Statistics, or related fields Shifts (if any): 11 am onwards (Candidate should be flexible to work as per business requirement) About Aeries: Aeries Technology is a Nasdaq listed (AERT) global professional services and consulting partner, with offices in the USA, India, Mexico, Singapore, and UAE. We provide Private Equities, its Portfolio Companies and mid-market companies with the right mix of deep vertical specialty, functional expertise, and the right systems & solutions to scale, optimize and transform their business operations with unique customized engagement models. Aeries is Great Place to Work certified by GPTW Institute, reflecting our commitment to fostering a positive and inclusive workplace culture for our employees. Read about us at https://aeriestechnology.com/careers/ Role & responsibilities: Assist in collecting, cleaning, and analysing large data sets Support the development and testing of ML models and data-driven algorithms Generate insights through data visualization and basic statistical analysis Write clean, maintainable Python code for data-related tasks Collaborate with cross-functional teams to understand requirements and deliver results Document findings, code, and processes clearly for internal use Key Skills & Tools: Proficiency in Python and key libraries (NumPy, Pandas, Scikit-learn, Matplotlib, etc.) Understanding of basic statistical concepts and machine learning algorithms Familiarity with SQL and data manipulation Exposure to BI tools (like Power BI or Tableau) is a plus Good problem-solving ability and eagerness to learn Strong communication and collaboration skills Good to have: Certification or coursework in data science and machine learning Previous project work or internship experience in data science (preferred but not mandatory) The Job responsibilities of the candidate shall include but not limited to the Job Description & to perform any other tasks/functions as required by the Company.

We are looking for an experienced Python Developer who possessesadeep understanding of the Python programming language and its ecosystem. Theideal candidate will be responsible for designing, implementing, and maintaininghigh- performance, scalable applications while collaborating with cross-functional teamstodeliver exceptional software solutions. The role offers an exciting opportunity toworkondiverse projects and leverage emerging technologies to drive innovation. Qualifications: 1. Bachelor's degree in Computer Science, Engineering, or related field; Master'sdegree preferred. 2. Proven experience (5 to 8 years) as a Python Developer or similar role, withastrongportfolio of Python-based projects and applications. 3. Proficiency in Python programming language and its standard libraries, frameworks, and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn, andPyTorch 4. Experience REST API libraries and frameworks such as Django, Flask, andSQLAlchemy. 5. Solid understanding of object-oriented programming (OOP) principles, datastructures, and algorithms. 6. Experience with database design, SQL, and ORM frameworks (e.g., SQL Alchemy, Django ORM). 7. Familiarity with front-end technologies such as HTML, CSS, JavaScript, and client-sideframeworks (e.g., React, Angular, Vue.js). 8. Knowledge of version control systems (e.g., Git) and collaborative developmentworkflows (e.g., GitHub, GitLab). 9. Strong analytical and problem-solving skills, with a keen attention to detail andapassion for continuous improvement. 10. Excellent communication and interpersonal skills, with the ability to collaborateeffectively in a team environment and communicate technical concepts tonon- technical stakeholders. Preferred Qualifications: 1. Experience with cloud platforms and services (e.g., AWS, Azure, GoogleCloudPlatform). 2. Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes). 3. Understanding of software testing principles and practices, including unit testing, integration testing, and test automation frameworks (e.g., pytest). 4. Familiarity with DevOps practices and CI/CD pipelines for automated softwaredeployment and delivery.

We are looking for a skilled Data Analyst with 3 to 6 years of experience to join our team in Bengaluru. The ideal candidate will be responsible for transforming data into actionable insights and supporting decision-making in a global organization focused on pricing and commercial strategy. ### Roles and Responsibility Analyze and interpret structured and unstructured data using statistical and quantitative methods to generate actionable insights and ongoing reports. Design and implement data pipelines and processes for data cleaning, transformation, modeling, and visualization using tools such as Power BI, SQL, and Python. Collaborate with stakeholders to define requirements, prioritize business needs, and translate problems into analytical solutions. Develop, maintain, and enhance scalable analytics solutions and dashboards that support pricing strategy and commercial decision-making. Identify opportunities for process improvement and operational efficiency through data-driven recommendations. Communicate complex findings clearly and concisely to both technical and non-technical audiences. ### Job Requirements Proven experience as a data analyst, business analyst, data engineer, or similar role. Strong analytical skills with the ability to collect, organize, analyze, and present large datasets accurately. Foundational knowledge of statistics, including concepts like distributions, variance, and correlation. Skilled in documenting processes and presenting findings to both technical and non-technical audiences. Hands-on experience with Power BI for designing, developing, and maintaining analytics solutions. Proficient in both Python and SQL, with strong programming and scripting skills. Skilled in using Pandas, T-SQL, and Power Query M for querying, transforming, and cleaning data. Hands-on experience in data modeling for both transactional (OLTP) and analytical (OLAP) database systems. Strong visualization skills using Power BI and Python libraries such as Matplotlib and Seaborn. Experience with defining and designing KPIs and aligning data insights with business goals. A bachelor’s degree in a STEM field relevant to data analysis, data engineering, or data science is required. 3–6 years of experience in data analysis, data engineering, or a closely related field, ideally within a professional services environment. ### Additional Info The company offers a dynamic work environment and opportunities for growth and development.