1583 Pandas Jobs - Page 34

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring high-quality standards are met. You will also explore innovative approaches to integrate generative AI models into various applications, contributing to advancements in deep learning, neural networks, and image processing technologies. Your role will require a proactive approach to problem-solving and a commitment to continuous improvement in AI methodologies. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Evaluate and implement new technologies and tools that can improve team efficiency and project outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Proficient in programming languages such as Python or R for data analysis and model development. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Scale an existing RAG code base for a production grade AI application Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Experience in python and pyspark will be added advantage Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Demonstrate a growth mindset to understand clients' business processes and challenges Preferred technical and professional experience EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

Scale an existing RAG code base for a production grade AI application Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Experience in python and pyspark will be added advantage Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Demonstrate a growth mindset to understand clients' business processes and challenges Preferred technical and professional experience EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations, Java Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Your Role and Responsibilities: As a Developer in the ITVM Software Engineering team, you will be responsible for developing and supporting application solutions, assisting in production issue resolution, and performing testing activities. You will work closely with the latest technologies in AI, leveraging Watsonx offerings to advance a Predictive model, GenAI data summarization and support a Machine Learning approach with Digital Assistants. and other IBM teams to identify functional requirements and contribute to the identification, justification, and design of the client’s solution. Responsibilities: - Develop and support application solutions, assisting in production issue resolution. - Write code or perform other technical, configuration tasks. - Perform testing activities. - Understand and use Watsonx offerings such as WCA,Watsonx.aiand others to increment a working AI application - Work as a team member pro-actively identify opportunities for new functional requirements that reduces security risks - Participate in a wide range of design activities, from requirements analysis through systems, application, and/or process design specification and implementation. - Gain knowledge across multiple platforms, processes, or architectures. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Full Stack SW Developer with experience in Java, Node.js, DB2, SQL, Git, Architecture, etc. Experience with Natural Language Processing and Large Language Models. Proficiency in Python with data analysis libraries such as NumPy and Pandas. Familiarity with IBM watsonx product offerings such as .ai, .data and orchestrate. Familiarity with IBM’s software engineering technologies and processes Deeper dive into Prompt Engineering. Knowledge of data science techniques and the data engineering ecosystem and lifecycle. Strong data visualization skills to effectively communicate and turn data into a meaningful story. Understanding of AI algorithms and the ability to create new foundations for AI capabilities. AI literacyUnderstanding how to use AI tools and platforms to streamline work and enhance productivity General Agile SW implementation knowledge (Scrum, Kanban, Jira, etc.) General DevOps practices application (CI/CD, Automations, API dev/integration, Compliance/Security handling, etc.) Ability to share ideas, identify technical issues, mitigate risks, and address concerns with the development team / Manager Strong communication skills to work with business stakeholders. Preferred technical and professional experience AI literacyUnderstanding how to use AI tools and platforms to streamline work and enhance productivity General Agile SW implementation knowledge (Scrum, Kanban, Jira, etc.) General DevOps practices application (CI/CD, Automations, API dev/integration, Compliance/Security handling, etc.) Ability to share ideas, identify technical issues, mitigate risks, and address concerns with the development team / Manager Strong communication skills to work with business stakeholder

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations, Manual Testing Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

FINESSE STOCK BROKING SERVICRS PRIVATE LIMITED Finesse Stock Broking services is a team of a young energetic people focused on generating consistent returns for their client with the help of mathematics and statistics. Qualification: B.Tech, BCA, Computer science background Experience: Fresher & Experienced both candidate apply. Language: Good Communication Required Skills: Data Analytics, Python, SQL Key Responsibility 1. Python Development: Develop and maintain Python applications for financial data analysis and reporting. Collaborate with cross-functional teams to design and implement innovative solutions. 2. Financial Knowledge: Demonstrate a deep understanding of the stock market, financial instruments, and derivatives (F&O). Stay updated on market trends. 3. Data Analysis: Utilize pandas and other analytical tools to analyze and manipulate financial data. Extract meaningful insights to support decision-making processes. 4. Testing Monitoring performance and behavior such as execution speed, slippage, latency, or errors. Collaborate with developer, give constructed feedbacks Compare the algorithm results with back testing results Evaluate its consistency and stability Create bug reports with proper tracks and logs Requirements: Proven experience as a Python Developer with a focus on financial applicants. In-depth knowledge of the stock market, financial instruments, and derivates. Proficiency in pandas for data analysis and manipulator. Familiarity with analy5cal tools and the ability to derive insights from financial data.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps / friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL / PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques / tools and Process Mining / Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

Hands on experience with Python, Django framework. Hands on experience with front-end technologies, such as JavaScript, Angular, HTML5, and CSS3(massive plus) Knowledge of object-relational mapping (ORM)

Develop and maintain ERPwithPython,Design scalable and efficient ERP module solutions,Collaborate with analysts and developers,Optimize ERP systems,Debug and resolve ERP issues,Integrate thirdparty APIs and web services,Technical documentation,

Need to assist team in building Python based APIs, connect with DB, cache service, logging service. Design and build modules for different business functionalities Celery and Redis based development. Mango/Mongo Queries Excellent problem-solving and analytical skills. Effective communication and leadership skills. Proven ability to work independently and collaboratively Skills: UnitTests (pytest based),Django,Esmerald,Falcon,Turbogears,Pylons, CouchDB,MongoDB,PostgreSQL, Redis, ElasticSearch, HTML, CSS, Javascript, SQL

Education Bachelors degree in Computer Science, Engineering, or a related field. A Masters degree is preferred. Experience Minimum of 4+ years of experience in data engineering or a similar role. Strong programming skills in Python programming and advance SQL. strong experience in NumPy, Pnadas, Data frames Strong analytical and problem-solving skills. Excellent communication and collaboration abilities.

Dear Candidate, We are hiring a Computer Vision Engineer to develop AI-driven solutions for image recognition, object detection, and video analysis. The role requires expertise in deep learning, computer vision algorithms, and real-time processing techniques. Key Responsibilities: Develop and optimize computer vision models using OpenCV, TensorFlow, and PyTorch. Implement object detection, segmentation, and facial recognition algorithms. Process and analyze large-scale image and video datasets. Optimize deep learning models for real-time inference on edge devices. Collaborate with AI and software teams to integrate vision solutions into applications. Required Skills & Qualifications: Computer Vision Frameworks: OpenCV, DLIB, MediaPipe Deep Learning: TensorFlow, PyTorch, Keras Algorithms: CNNs, YOLO, Faster R-CNN, Mask R-CNN Programming: Python, C++, CUDA Edge AI: TensorRT, OpenVINO, NVIDIA Jetson Experience with autonomous systems, OCR, and SLAM is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Contract to hire Looking for 6+ years of Experiece candidate working on Data and Analytics.Advance working knowledge and exp with relationship database management system in designing schema, SQL Authoring and performance oprimization. Hands-on Experience on Snowflake is highly desirableCan write complex queries, views and Stored Procedures.Should must have hands-on experince on Python (NumPuy, Pandas etc.) Should must have working knowledge of ETL using any ETL tool such as InfotmaticaTechnical expertise and problem solving skills.Excellent communication skill and presentation skill

Grade C1/C2 Experience in agent frameworks atleast one of the below CrewAI LangChain agents Autogen AutoGPT / OpenAgents Understand agent roles, memory, planning, and tools .Experience with Prompt engineering (few-shot, chain-of-thought, tool-calling) Fine-tuning or RAG (Retrieval-Augmented Generation) Model selection and deployment (local vs API-based) Vector databases (e.g., Pinecone, Weaviate, Chroma) Tool execution environments (e.g., LangChain tools, custom wrappers) Awareness of model limitations, hallucinations, and how to mitigate them. Full-Stack Engineering Proficiency Ability to build end-to-end systems frontend + backend + infra. Fluency in Python (especially for AI orchestration) TypeScript/React (for building UIs around agents) REST/GraphQL APIs Comfortable integrating models via APIs (OpenAI, Anthropic, HuggingFace). Rapid Prototyping & Iteration Able to build, test, and iterate on Agent workflows Tooling pipelines UI/UX for human-agent interaction Familiarity with hacky proof-of-concept workflows and productionizing them. Product & Systems Thinking Strong sense of product intuition what to build and why. Thinks in terms of goals, user outcomes, system feedback loops , not just features.

Immediate Openings on Network Security - Zscaler _ Hyd/Bangalore_Contract Skill: Network Security - Zscaler Notice Period: Immediate . Employment Type: Contract Job Description Zscaler ZIA ZPA is primary - must have worked in zscaler for atleast 3 years SIEM Exabeam AA and DL as Secondary Skills.

skills Python Data engineer/Python Devloper Experience 6+ Years Location PAN INDIA Job type Contract to Hire Work Model Hybrid Python Data side developers(Pandas, Numpi, SQL, data pipelines,etc.) 5-7 years of experience as aPythonDeveloperwith below skills. . Snowflake exposure Building API usingpython Microservice, API Gateway, Authentication Oauth2&mTLS Web service development Unit Testing, Test Driven Development Multi-tier web or desktop application development experience Application container Docker Linux experience,Pythonvirtual environment Tools Eclipse IDE/IntelliJ, GIT, Jira

Develop data processing applications using Python and Pandas. Optimize performance for large-scale data analysis.

Develop and maintain applications using Python, focusing on building scalable, efficient systems. Work on web development, data analysis, and automation scripts, integrating Python into various technical stacks.

Mandatory Programming Skills: Experience in Datadog, API endpoint (Flask/ Django/ FastAPI) creation. Asyncio, -Should be made Preferred input from KK Logging library & Datadog(Optional). Panda & Polars. (optional). Postgres DB /Mongo DB Basic S3 / AWS ( optional ). Any API Management tool ( Postman /Mulesoft ) GRPC (optional) Good Communication.

Role & responsibilities We are looking for a highly capable python coder to spend 6 months designing and running a Python training to help these individuals become proficient in programming. They will: 1. Work with team leaders to design a curriculum both for individuals with no and with limited coding experience. 2. Run daily lessons and help proctor take-home exercises. 3. Track and report on progress. If the program succeeds, there is an opportunity to join the team full time as a business-facing strat, leveraging Python to help drive quantitative techniques within the department, including data analytics, automated visualizations, and scalable tools. QUALIFICATIONS • 4+ years experience with advanced Python, including 1+ year experience with pandas • Familiarity with data analytics or statistical modelling is a plus • Bachelor's degree in computer science or related fields • Exceptional organizational skills and attention to detail • Excellent interpersonal and communication skills Preferred candidate profile Perks and benefits

Python training to help these individuals become proficient in programming. They will: 1. Work with team leaders to design a curriculum both for individuals with no and with limited coding experience. 2. Run daily lessons and help proctor take-home exercises. 3. Track and report on progress. If the program succeeds, there is an opportunity to join the team full time as a business-facing strat, leveraging Python to help drive quantitative techniques within the department, including data analytics, automated visualizations, and scalable tools. QUALIFICATIONS • 4+ years experience with advanced Python, including 1+ year experience with pandas • Familiarity with data analytics or statistical modelling is a plus • Bachelor's degree in computer science or related fields • Exceptional organizational skills and attention to detail • Excellent interpersonal and communication skills