1612 Pandas Jobs - Page 9

Role & responsibilities BI Product Development using open source framework Apache Superset hence check for their experience in any BI solution or best would be experience in Apache superset , They should have done multiple project on BI. The role need advanced python experience and Advanced SQL knowledge Hence check for their experience using Python and SQL for product development OR in project delivery , What was the use case which required advanced python experience and Advanced SQL knowledge Should be able to perform Advanced analytics like Fraud Analytic / Prediction and Forecasting . Check if they have any such advance analytics experience. Client Management experience for managing BI project. Preferred candidate profile

You are a strategic thinker passionate about driving solutions in Automation. You have found the right team. As an automation Associate in our Finance team, you will spend each day defining, refining, and delivering set goals for our firm. You will be a key driver for a critical team that conducts process deep dives, reviews ideas, and designs, develops, and deploys scalable automation solutions by leveraging intelligent solutions. Your key focus will be to customize firm-wide intelligent automation capabilities to deploy cost-effective modules that impact execution velocity, enhance controls, and improve ROI. Partner with relevant stakeholders to understand process-related manual touchpoints, design future state, develop, test, and deploy. Manage and deliver E2E projects in adherence to the Hubs governance and execution model. Ensure automation implementation is compliant as per company policy. Collaborate with business, technology teams, controls partners to ensure calibrated delivery. Expert with hands-on experience in development (must have) - intelligent automation solutions: Python (selenium, django, pandas, numpy, win32com, tkinter, PDF/OCR libraries, exchange connections, API connectivity), UI Path (attended & unattended), Alteryx (advanced), and Pega (advanced). Advanced hands-on experience - Tableau, QlikView, Qlik sense & SharePoint. 5+ years experience in technology development, strong problem-solving abilities, project management, roadblock management & suctioning. Degree in Computer Science, Engineering, or any related field. Advanced knowledge of Microsoft Office with proficiency in MS Excel, MS Access & MS PowerPoint. Preferred qualifications, capabilities, and skills include Project Management Certification, ability to demonstrate innovation with the capability to translate concepts into visuals, Technical Designer / Solution Architect.,

The position of Data Scientist in the Fraud & Operational Analytics Team of the Data & Analytics department involves creating Machine Learning/AI solutions to enhance fraud prevention and improve operational scalability. Your primary focus will be on developing cutting-edge ML solutions to drive customer experience, reduce operational costs, and mitigate risks effectively. As a Data Scientist, your responsibilities will include analyzing extensive datasets to extract business insights, understanding various fraud patterns, developing advanced ML models for fraud detection, and innovating with a continuous emphasis on improving approaches. You will also be exploring additional data sources to enhance the effectiveness of traditional sources and exhibiting expertise in data strategy and model training pipelines. Moreover, you will be expected to drive insights for actionable data-driven strategies, provide analytical support to the business and risk teams through bespoke and strategic analysis, and possess proficiency in econometric, statistical, and machine learning techniques. Strong knowledge of Python, SQL, Pandas, NumPy, Sklearn, TensorFlow/PyTorch, and statistical concepts for regression, classification, and anomaly detection is essential for this role. To qualify for this position, you should hold a Bachelor's degree in Science, Technology, or Computer Applications for Graduation and a Master's degree in the respective fields for Post-Graduation. The ideal candidate will have 2 to 5 years of experience in the field of data science, demonstrating a logical thought process and the ability to translate complex problems into data-driven solutions effectively.,

We are seeking a proactive Computer Vision Engineer who excels in dynamic environments and has a passion for developing practical AI systems. If you have a keen interest in working with video, visual data, cutting-edge ML models, and resolving impactful challenges, we are eager to connect with you. This position merges deep learning, computer vision, and edge AI, focusing on constructing scalable models and intelligent systems to drive our advanced sports technology platform. Your responsibilities will include designing, training, and refining deep learning models for real-time object detection, tracking, and video comprehension. You will be responsible for implementing and deploying AI models utilizing frameworks such as PyTorch, TensorFlow/Keras, and Transformers. Working with video and image datasets using tools like OpenCV, YOLO, NumPy, Pandas, and visualization tools like Matplotlib will be a key aspect of your role. Collaborating closely with data engineers and edge teams to deploy models on real-time streaming pipelines will also be part of your duties. Additionally, you will need to optimize inference performance for edge devices such as Jetson and T4, and manage video ingestion workflows. You will also be expected to rapidly prototype new concepts, perform A/B tests, and validate enhancements in real-world scenarios. Clear documentation of processes, effective communication of findings, and contributing to the expansion of our AI knowledge base are essential aspects of this role. To be successful in this position, you should possess a strong command of Python and have familiarity with C/C++. Experience with deep learning frameworks such as PyTorch, TensorFlow, and Keras is required. A solid understanding of YOLO, Transformers, or OpenCV for real-time visual AI is essential. Proficiency in data preprocessing, feature engineering, and model evaluation using NumPy, Pandas, etc., is also necessary. A good grasp of computer vision, convolutional neural networks (CNNs), and object detection techniques is expected. Exposure to video streaming workflows like GStreamer, FFmpeg, and RTSP will be advantageous. The ability to write clean, modular, and efficient code is crucial for this role. Experience in deploying models in production, particularly on GPU/edge devices, is highly valued. An interest in reinforcement learning, sports analytics, or real-time systems will be considered a plus. An undergraduate degree in Computer Science, Artificial Intelligence, or a related field is required, while a Master's or PhD is preferred. A strong academic background will be beneficial for this position.,

As an AI/ML Mentor at Engineer Sahab Education in Indore, you will play a crucial role in guiding and mentoring students to help them establish a solid understanding of Artificial Intelligence and Machine Learning. Your responsibilities will include conducting engaging sessions on various AI/ML concepts, assisting students in developing capstone projects, offering personalized mentorship, staying updated with the latest trends, and collaborating with the academic team to enhance learning outcomes. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field, along with 1-3 years of experience in AI/ML development or teaching. Proficiency in Python and machine learning libraries like Scikit-learn, TensorFlow, Keras, Pandas, and NumPy is essential. Strong communication skills, a passion for mentoring, and experience in building and deploying ML models will be advantageous. At Engineer Sahab Education, you will work in a collaborative and student-centric environment, impacting the careers of future tech professionals. You will have access to continuous learning resources and upskilling opportunities, along with a competitive salary and room for growth. If you are enthusiastic about AI/ML and enjoy sharing knowledge, we encourage you to apply and be a part of our mission to shape the next generation of AI/ML professionals.,

As an Operations Research Scientist at Tredence, your main responsibilities will involve performing data analysis and interpretation. This includes analyzing large datasets to extract meaningful insights and using Python to process, visualize, and interpret data in a clear and actionable manner. Additionally, you will be tasked with developing and implementing mathematical models to address complex business problems, as well as improving operational efficiency. You should have the ability to use solvers like CPLEX, Gurobi, FICCO Xpress, and free solvers like Pulp and Pyomo. Applying optimization techniques and heuristic methods to devise effective solutions will be a key part of your role, along with designing and implementing algorithms to solve optimization problems. Testing and validating these algorithms to ensure accuracy and efficiency are also important tasks. Collaboration and communication are essential skills in this role, as you will work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to understand requirements and deliver solutions. Presenting findings and recommendations to both technical and non-technical audiences will be part of your regular interactions. To qualify for this position, you should have a Bachelor's or Master's degree in operations research, applied mathematics, computer science, engineering, or a related field. A minimum of 3-8 years of professional experience in operations research, data science, or a related field is required. Proficiency in Python, including libraries such as NumPy, pandas, SciPy, and scikit-learn, as well as Pulp and Pyspark, is necessary. A strong background in mathematical modeling and optimization techniques, experience with heuristic methods and algorithm development, and the ability to analyze complex datasets and derive actionable insights are also important technical skills. Furthermore, excellent communication skills, both written and verbal, and the ability to work effectively both independently and as part of a team are essential soft skills for this role. Preferred qualifications include experience with additional programming languages or tools such as AMPL, LINGO, and AIMMS, as well as familiarity with machine learning techniques and their applications in operations research. About Tredence: Tredence, founded in 2013, is dedicated to transforming data into actionable insights for over 50 Fortune 500 clients in various industries. With headquarters in San Jose and a presence in 5 countries, Tredence's mission is to be the world's most indispensable analytics partner. By blending deep domain expertise with advanced AI and data science, Tredence aims to drive unparalleled business value. Join Tredence on this innovative journey and contribute to the impactful work being done in the analytics field.,

As a Python Programmer at IQVIA, you will be responsible for contributing as a product expert, analyzing and translating business needs into long-term solution data models. This includes evaluating existing data systems and collaborating with the development team to create conceptual data models and data flows. You will need to understand the distinctions between out-of-the-box features, configuration options, and customization possibilities of base software product platforms, while also considering performance, scalability, and usability factors. Your key responsibilities will involve developing and maintaining data ingestion, data analysis, and reporting solutions specifically for Clinical data. You will work closely with cross-functional teams to identify and address complex data-related challenges. Additionally, you will be expected to create and manage documentation, processes, and workflows related to the Clinical data review process. Troubleshooting and debugging issues related to data ingestion, analysis, and reporting will also be part of your daily tasks. In this role, you will serve as a subject matter expert and stay abreast of new technologies and industry trends to ensure that the solutions you develop are cutting-edge and effective. You should have experience and familiarity with data ingestion and processing capabilities, as well as the ability to apply design thinking principles to prototype and define architectures for extraction, transformation, and loading (ETL) processing. Expert-level programming skills in Python and PL/SQL, SAS, or the ability to read/interpret code and engage expert programmers will be essential. Proficiency in frameworks/libraries like Pandas, Numpy, and version control systems like GitHub is required. Candidates with experience working in GCP and regulated data environments, excellent communication, analytical, and interpersonal skills, and knowledge of Data Science will be preferred. Domain expertise in clinical data management and a fair understanding of CDISC/SDTM mapping standards are expected. Join IQVIA, a leading global provider of clinical research services, commercial insights, and healthcare intelligence, and be part of a team that creates intelligent connections to accelerate the development and commercialization of innovative medical treatments. Help improve patient outcomes and population health worldwide. Learn more about our work at [IQVIA Careers](https://jobs.iqvia.com).,

As a Jr. Software Engineer (AI ML) at SynapseIndia, you will have the opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions. With a focus on AI/ML, you will play a crucial role in designing, developing, and deploying machine learning models and AI algorithms using Python and relevant libraries. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field. Additionally, having 0-2 years of professional experience in Python programming with a specialization in AI/ML is essential. Your strong experience with Python ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, along with a solid understanding of machine learning algorithms, neural networks, and deep learning will be highly valuable. Furthermore, your proficiency in data manipulation libraries such as Pandas, NumPy, and data visualization tools like Matplotlib, Seaborn, as well as experience with cloud platforms like AWS, GCP, Azure, and deploying ML models using Docker, Kubernetes will be beneficial. Any familiarity with NLP, Computer Vision, or other AI domains will be considered a plus. Your responsibilities will include collaborating with cross-functional teams to gather requirements and translate business problems into AI/ML solutions. You will be optimizing and scaling machine learning pipelines and systems for production, performing data preprocessing, feature engineering, and exploratory data analysis, and implementing and fine-tuning deep learning models using frameworks like TensorFlow, PyTorch, or similar. Additionally, you will be expected to conduct experiments, evaluate model performance using statistical methods, write clean, maintainable, and well-documented code, mentor junior developers, participate in code reviews, and stay up-to-date with the latest AI/ML research and technologies. Ensuring seamless model deployment and integration with existing infrastructure will also be part of your role. If you are a proactive individual with strong problem-solving skills, the ability to work independently and collaboratively, excellent communication skills, and familiarity with REST APIs, microservices architecture, version control systems like Git, MLOps best practices and tools, distributed computing, and big data tools like Spark or Hadoop, we encourage you to apply for this exciting opportunity at SynapseIndia. Join us and be a part of our dynamic team where your contributions are recognized and rewarded, and where you can grow both personally and professionally in a structured, eco-friendly workplace that prioritizes the well-being and job security of its employees.,

We are looking for a passionate and self-motivated AI Intern to join our team at ARK Infosoft. This internship opportunity is perfect for fresh graduates or final-year students who are enthusiastic about applying their knowledge of Artificial Intelligence, Machine Learning, and Data Science to real-world projects. As an AI Intern, you will have the chance to collaborate closely with senior developers and data scientists on a variety of AI-driven applications and innovations. Your responsibilities will include assisting in the design, development, and testing of machine learning models, as well as collecting, cleaning, and preprocessing datasets. Additionally, you will be involved in supporting the implementation of AI models into existing systems or proof-of-concepts, conducting literature reviews, and documenting technical research findings. Collaboration with cross-functional teams on various AI and software projects is also a key aspect of this role, along with staying up-to-date with the latest AI tools, libraries, and research. The ideal candidate should have a basic understanding of AI/ML concepts, algorithms, and applications, along with familiarity with Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Strong analytical and problem-solving skills, good communication abilities, and a willingness to learn and take initiative are essential for success in this position. Preferred qualifications that would be nice to have include knowledge of deep learning, NLP, or computer vision, experience with Git, Jupyter Notebooks, or cloud platforms (e.g., Google Colab, AWS), and participation in AI/ML hackathons, Kaggle competitions, or relevant academic projects. Joining our team at ARK Infosoft, you can look forward to a supportive work environment with benefits such as 5-day working week, paid leave, all leave encashment, health insurance, festival celebrations, employee engagement activities, great workspace, and an annual picnic. Our mission at ARK Infosoft is to empower businesses to grow by providing personalized IT solutions through leveraging the latest technologies, prioritizing our customers, and continually seeking innovative ways to improve. We strive to be the most trusted partner in our clients" journey towards digital advancement, dedicated to excellence, integrity, and social responsibility, creating lasting value for our clients, employees, and communities. Our vision is to establish ARK Infosoft as a leading IT company known for delivering creative solutions that help businesses succeed in today's digital world. We aim to be the preferred partner for all IT needs, fostering growth and prosperity in every industry we serve through innovation, collaboration, and sustainability. Our goal is to drive positive global impact, enabling businesses to thrive in the digital age and shaping a brighter tomorrow for all.,

OneOrigin is an innovative company based in Scottsdale, AZ and Bangalore, India, dedicated to utilizing the power of AI to revolutionize the operations of Higher Education institutions. Their cutting-edge software solutions aim to streamline administrative processes, enhance student engagement, and facilitate data-driven decision-making for colleges and universities. As an AI Developer at OneOrigin in Bangalore, you will be responsible for creating and implementing advanced AI-driven solutions to empower intelligent products and optimize business operations across various domains. Working closely with data scientists, software engineers, product teams, and stakeholders from different departments, you will design scalable AI systems using cutting-edge machine learning techniques to address complex challenges. Your responsibilities will include designing, developing, and deploying sophisticated AI/ML models for real-world applications, leveraging AI frameworks like TensorFlow, PyTorch, Keras, and Hugging Face Transformers. You will also explore Generative AI applications, manipulate large datasets using tools such as Pandas, NumPy, SQL, and Apache Spark, and deploy scalable AI services using Docker, FastAPI/Flask, and Kubernetes. Collaboration with cross-functional teams to integrate AI solutions into products, drive experimentation, implement automation opportunities, and stay updated on AI advancements will be key aspects of your role. You are required to have a Bachelor's degree in Computer Science, Engineering, or a related field, along with 5-8 years of hands-on experience in AI/ML development. Proficiency in Python, experience with Deep Learning, NLP, Computer Vision projects, and Cloud platforms (AWS, GCP, Azure) is essential. Your strong problem-solving skills, communication abilities, and expertise in API development will be crucial for successfully tackling complex challenges and collaborating effectively across diverse teams and departments. Join OneOrigin in their mission to make AI accessible and impactful for higher education institutions!,

As a skilled professional, your primary responsibility will involve designing and implementing cutting-edge deep learning models using frameworks like PyTorch and TensorFlow to tackle specific business challenges. You will be tasked with creating conversational AI agents and chatbots that provide seamless, human-like interactions, tailored to meet client needs. Additionally, you will develop and optimize Retrieval-Augmented Generation (RAG) models to enhance AI's ability to retrieve and synthesize pertinent information for accurate responses. Your expertise will be leveraged in managing data lakes, data warehouses (including Snowflake), and utilizing Databricks for large-scale data storage and processing. You are expected to have a thorough understanding of Machine Learning Operations (MLOps) practices and manage the complete lifecycle of machine learning projects, from data preprocessing to model deployment. You will play a crucial role in conducting advanced data analysis to extract actionable insights and support data-driven strategies across the organization. Collaborating with stakeholders from various departments, you will align AI initiatives with business requirements to develop scalable solutions. Additionally, you will mentor junior data scientists and engineers, encouraging innovation, skill enhancement, and continuous learning within the team. Staying updated on the latest advancements in AI and deep learning, you will experiment with new techniques to enhance model performance and drive business value. Effectively communicating findings to both technical and non-technical audiences through reports, dashboards, and visualizations will be part of your responsibilities. Furthermore, you will utilize cloud platforms like AWS Bedrock to deploy and manage AI models at scale, ensuring optimal performance and reliability. Your technical skills should include hands-on experience with PyTorch, TensorFlow, and scikit-learn for deep learning and machine learning tasks. Proficiency in Python or R programming, along with knowledge of big data technologies like Hadoop and Spark, is essential. Familiarity with MLOps, data handling tools such as pandas and dask, and cloud computing platforms like AWS is required. Skills in LLAMAIndex and LangChain frameworks, as well as data visualization tools like Tableau and Power BI, are desirable. To qualify for this role, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Specialization in deep learning, significant experience with PyTorch and TensorFlow, and familiarity with reinforcement learning, NLP, and generative models are expected. In addition to challenging work, you will enjoy a friendly work environment, work-life balance, company-sponsored medical insurance, a 5-day work week with flexible timings, frequent team outings, and yearly leave encashment. This exciting opportunity is based in Ahmedabad.,

As a Lead - AI Engineer at Xerago, you will play a crucial role in driving our mission for customer immortality. Your responsibilities will include managing a team of AI engineers, developing high-quality AI models with strong predictive accuracy, and staying updated on the latest technologies in the field. By collaborating closely with project stakeholders, you will shape AI strategies, oversee timelines, and contribute significantly to the success and growth of our organization. Your influence will extend to our digital impact initiatives, shaping the future of technology at Xerago. In terms of technical responsibilities, you will be responsible for designing, developing, and implementing AI models using Python, TensorFlow, or PyTorch to ensure robustness and accuracy. Collaboration with the data team to clean, manipulate, and analyze large datasets using NumPy, Pandas, or similar libraries will be a key aspect of your role. Additionally, you will oversee the deployment of AI solutions on cloud platforms such as AWS, Google Cloud, or Microsoft Azure to optimize performance and efficiency. On the managerial front, you will lead and mentor a team of AI engineers, providing technical guidance and fostering a culture of continuous learning. Coordination with project stakeholders to define AI strategies, manage timelines, and ensure the successful delivery of AI-driven solutions will also fall within your purview. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Information Technology, Machine Learning, or a related field with a strong focus on AI and machine learning. Expertise in Python programming languages, deep learning frameworks like TensorFlow or PyTorch, and data manipulation libraries such as NumPy and Pandas is essential. Proficiency in cloud platforms such as AWS, Google Cloud, or Microsoft Azure is a prerequisite, while familiarity with data visualization tools (e.g., Matplotlib, Seaborn) and version control systems (e.g., Git) is desired. Although not mandatory, certifications such as Google Professional Machine Learning Engineer, AWS Certified Machine Learning Specialty, Microsoft Certified: Azure AI Engineer Associate, and TensorFlow Developer Certificate by Deeplearning.ai are considered valuable. Strong communication, leadership, team management, adaptability, problem-solving, and strategic thinking abilities are crucial for success in this role. This is a full-time position with a work schedule of Monday to Friday, requiring in-person presence at the designated work location.,

Role & responsibilities Key Responsibilities Design, build and maintain Python plugins that encapsulate business rules and transformation logic such as custom aggregation/disaggregation, rule-based data enrichment, and time-grain manipulations. Implement data-cleaning, validation, mapping and merging routines using Pandas, NumPy and other Python libraries to prepare inputs for downstream analytics. Define clear interfaces and configuration schemes for plugins (for example, picklists for output grains and rule codes) and package them for easy consumption by implementation teams. Profile and optimize Python code pathsleveraging vectorized operations, efficient merges and in-memory transformationsto handle large datasets with low latency. Establish and enforce coding standards, write comprehensive unit and integration tests with pytest (or similar), and ensure high coverage for all new components. Triage and resolve issues in legacy scripts, refactor complex routines for readability and extensibility, and manage versioning across releases. Collaborate with data engineers and analysts to capture requirements, document plugin behaviors, configuration parameters, and usage examples in code repositories or internal wikis. Requirements Must-Have Skills 57 years of hands-on experience writing well-structured Python code, with deep familiarity in both object-oriented and functional programming paradigms. Expert mastery of Pandas and NumPy for transformations (group-by aggregations, merges, column operations), plus strong comfort with Python’s datetime and copy modules. Proven experience designing modular Python packages, exposing configuration through parameters or picklists, and managing versioned releases. Ability to translate complex, rule-driven requirements (such as disaggregation rules, external-table merges, and priority ranking) into clean Python functions and classes. Proficiency with pytest (or equivalent), mocking, and integrating with CI pipelines (e.g., GitHub Actions, Jenkins) for automated testing. Skilled use of Python’s logging module to instrument scripts, manage log levels, and capture diagnostic information. Strong Git workflow experience, including branching strategies, pull requests, code reviews, and merge management.

Job Summary We are seeking a Senior Data Engineer to join our growing data team, where you will help build and scale the data infrastructure powering analytics, machine learning, and product innovation. As a Senior Data Engineer, you will be responsible for designing, building, and optimizing robust, scalable, and secure data pipelines and platforms. You will work closely with data scientists, software engineers, and product teams to deliver clean, reliable data for critical business and clinical applications. Key Responsibilities: Design, implement, and optimize complex data pipelines using advanced SQL, ETL tools, and integration technologies. Collaborate with cross-functional teams to implement optimal data solutions for advanced analytics and data science initiatives. Spearhead process improvements, including automation, data delivery optimization, and infrastructure redesign for scalability. Evaluate and recommend emerging data technologies to build comprehensive data integration strategies. Lead technical discovery processes, defining complex requirements and mapping out detailed scenarios. • Develop and maintain data governance policies and procedures. What Youll Need to Be Successful (Required Skills): 5 -7 years of experience in data engineering or related roles. Advanced proficiency in multiple programming languages (e.g., Python, Java, Scala) and expert-level SQL knowledge. Extensive experience with big data technologies (Hadoop ecosystem, Spark, Kafka) and cloudbased environments (Azure, AWS, or GCP). Proven experience in designing and implementing large-scale data warehousing solutions. Deep understanding of data modeling techniques and enterprise-grade ETL tools. • Demonstrated ability to solve complex analytical problems. Education/ Certifications: Bachelor's degree in computer science, Information Management or related field . Preferred Skills: Experience in the healthcare industry, including clinical, financial, and operational data. Knowledge of machine learning and AI technologies and their data requirements. Familiarity with data visualization tools and real-time data processing. Understanding data privacy regulations and experience implementing compliant solutions Note: We work 5days from Office - India regular shift. Netsmart, India has setup our new Global Capability Centre(GCC) at Godrej Centre, Byatarayanapura (Hebbal area) -(https://maps.app.goo.gl/RviymAeGSvKZESSo6) .

Job Summary Synechron is seeking a proactive and skilled Generative AI Testing & Prompt Engineer to join our innovative technology team. In this role, you will design and execute prompt strategies, develop automation workflows, and evaluate AI outputs to ensure high-quality, unbiased, and reliable generative models. Your expertise will help improve AI performance, safety, and ethical standards, enabling the organization to leverage cutting-edge AI capabilities effectively and responsibly. Software Requirements Required: Python (including libraries such as NumPy, Pandas, and testing frameworks) Bash or shell scripting for automation workflows Version control tools (Git) AI evaluation metrics tools and frameworks for measuring quality, bias, and safety Preferred: Experience with AI/ML frameworks such as TensorFlow or PyTorch CI/CD automation tools for seamless testing and deployment workflows Data analysis tools and platforms for metrics development Overall Responsibilities Develop and refine prompts to evaluate the capabilities, accuracy, creativity, and safety of Generative AI models, including NLP and multimodal models. Design comprehensive testing strategies across diverse scenarios using prompt variations to assess performance, bias, and ethical considerations. Automate testing workflows to streamline data collection, prompt execution, output analysis, and reporting. Analyze and interpret AI outputs, providing insights for improvements and bias mitigation. Collaborate closely with AI data scientists and developers to tune prompt techniques and enhance model behavior through automation and feedback. Document prompt scripts, testing procedures, automation workflows, and test results for transparency and reproducibility. Continuously refine prompt engineering and testing methodologies based on latest AI advancements and industry best practices. Stay informed about new trends, tools, and ethical considerations related to generative AI, prompt engineering, and automation. Technical Skills (By Category) Programming Languages: Required: Python (advanced scripting and automation capabilities) Preferred: Bash, shell scripting, or other automation languages Databases/Data Management: Basic understanding of data storage and querying for managing testing datasets Experience with data labeling and quality control processes Cloud Technologies: Preferred: Basic familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment and testing Frameworks and Libraries: Required: Generative AI evaluation tools, scripting frameworks for automation, prompt management tools Preferred: TensorFlow, PyTorch, or similar AI/ML libraries Development Tools and Methodologies: Required: Version control (Git), scripting for automation, reporting tools Preferred: CI/CD pipelines for automated testing and deployment in cloud or on-prem environments Security Protocols: Awareness of data privacy, security standards, and bias mitigation techniques Experience Requirements 3-5 years of professional experience in testing generative AI models, including prompt writing and optimization. Proven experience designing prompt strategies for NLP and multimodal models. Hands-on experience automating evaluation workflows for AI outputs, bias detection, and safety assessment. Familiarity with model evaluation metrics, including relevance, coherence, bias, and safety. Industry experience in AI development, testing, or related research preferred; alternative experience with related automation and data analysis roles may be considered. Day-to-Day Activities Develop, test, and optimize user prompts for AI model evaluations across multiple scenarios. Automate processes for prompt execution, data collection, and output assessment. Monitor and analyze AI model responses for quality, relevance, bias, and ethical compliance. Collaborate with data scientists, AI developers, and product teams to implement prompt tuning and automation improvements. Document testing strategies, automation scripts, and test outcomes thoroughly. Provide actionable feedback to improve model behavior and address bias or safety issues. Review industry trends and incorporate new testing tools or methodologies to advance testing capabilities. Qualifications Bachelors degree in Computer Science, Data Science, AI, or related field. Relevant certifications in AI, data analysis, or automation practices are a plus. Demonstrated commitment to continuous learning of AI ethics, bias mitigation, and prompt engineering. Professional Competencies Critical thinking and analytical skills to interpret complex AI outputs and identify issues. Problem-solving abilities to develop effective prompts, troubleshoot automation workflows, and improve testing strategies. Strong communication skills for documenting processes and collaborating with multidisciplinary teams. Ability to adapt rapidly to evolving AI technologies and industry standards. Interpersonal skills for stakeholder engagement and feedback provision. Effective time management to handle multiple test scenarios and documentation tasks efficiently.

We are looking for a skilled Python Developer with expertise in Pandas, NumPy, FastAPI, to join our dynamic team. The ideal candidate should have hands-on experience in Python development.

About your role You will be joining this position as Senior Test Analyst in QA chapter, and therefore be responsible for executing testing activities for all applications under IM technology based out of India. Here are the expectations and probably how your day in a job will look like Understand business needs and analyse requirements and user stories to carry out different testing activities. Collaborate with developers and BAs to understand new features, bug fixes, and changes in the codebase. Create and execute functional as well as automated test cases on different test environments to validate the functionality Log defects in defect tracker and work with PMs and devs to prioritise and resolve them. Develop and maintain automation script , preferably using python stack. Deep understanding of databases both relational as well as non-relational. Document test cases , results and any other issues encountered during testing. Attend team meetings and stand ups to discuss progress, risks and any issues that affects project deliveries Stay updated with new tools, techniques and industry trends. About You Seasoned Software Test analyst with more than 5+ years of hands on experience Hands-on experience in automating web and backend automation using open source tools ( Playwright, pytest, Selenium, request, Rest Assured, numpy , pandas). Proficiency in writing and understanding complex db queries in various databases ( Oracle, Snowflake) Good understanding of cloud ( AWS , Azure) Preferable to have finance investment domain. Preferable to have trade lifecycle experience in a vendor system such as CRD, Aladdin, etc Strong logical reasoning and problem solving skills. Preferred programming language Python and Java. Familiarity with CI/CD tools (e.g., Jenkins) for automating deployment and testing workflows

The JD will be emailed to the interested candidates.

Sumago Infotech 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.

Code Brains 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. AngularJS, MongoDB, NodeJs, Java, DB, Android ,Struts2, Hibernate, Spring and Webservices

We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of whats possible in AI applications System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence.

We are looking for a passionate Python developer to join our team at Billions United. You will be responsible for developing and implementing high-quality software solutions, creating complex applications using cutting-edge programming features and frameworks, and collaborating with other teams to define, design, and ship new features. You will also be working on data engineering problems and building data pipelines. Objectives of this Role Develop, test, and maintain high-quality software using Python programming language. Participate in the entire software development lifecyclebuilding, testing, and delivering high-quality solutions. Collaborate with cross-functional teams to identify and solve complex problems. Write clean and reusable code that can be easily maintained and scaled. Your Tasks Create large-scale data processing pipelines to support machine learning development. Participate in code reviews to ensure code quality and identify areas for improvement. Debug code and troubleshoot Python-related issues. Stay updated with emerging trends and technologies in Python development. Required Skills and Qualifications Freshers or 1+ years of experience as a Python Developer with a strong portfolio of projects. Bachelor's degree in Computer Science, Software Engineering, or a related field. In-depth knowledge of Python stacks, frameworks, and tools such as NumPy, SciPy, Pandas, Dask, spaCy, NLTK, Scikit-learn, and PyTorch. Experience with front-end technologies like HTML, CSS, and JavaScript. Familiarity with SQL and NoSQL databases. Excellent problem-solving, communication, and collaboration skills. Preferred Skills and Qualifications Experience with frameworks such as Django, Flask, or Pyramid. Knowledge of data science and machine learning concepts and tools. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Contributions to open-source Python projects or active involvement in the Python community.

The JD will be emailed to the interested candidates. Work from home

Lead data science team to deliver ML/NLP solutions. Build scalable models using Python, ensure data governance, collaborate across teams, and present insights. Requires expertise in ML, NLP, Python, data visualization, and strong leadership.

Role & responsibilities: Requirement: AWS Cloud primary Skills: AWS Cloud with python Exp - 6- 10 Years Notice Period - 30 Days Location - Bangalore Preferred candidate profile Must have skills: coding in OOP language: Python Must have skills: and exposure to some of Pythons ML ecosystem (NumPy, panda, sklearn, TensorFlow, etc.) AWS services: Experience in building cloud native applications using AWS services like S3, RDS, CFT, SNS, SQS, Step functions, Event Bridge, cloud watch etc.