1583 Pandas Jobs - Page 19

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

As an AI Manager, you will be responsible for leading the design, development, and deployment of GenAI solutions to support our cutting-edge analytics platforms. Your role will involve mentoring a team of 35 AI engineers, cultivating a culture of collaboration and growth. You will oversee the entire architecture process, from conceptualization and LLM fine-tuning to deploying and monitoring GenAI applications on cloud platforms for financial analytics. Your tasks will include implementing agentic AI design patterns, utilizing frameworks like Autogen, LangGraph, CrewAI, or creating customized agentic architectures. You will integrate advanced GenAI frameworks, leveraging technologies such as Model Context Protocols (MCP) and Agent-to-Agent (A2A) for complex analytic workflows. Ensuring seamless integration with various databases like vector databases, NoSQL, and SQL for efficient data ingestion and retrieval will be crucial. Collaboration with product leaders, data scientists, and engineering teams is essential to deliver user-centric and enterprise-grade AI features. You will be a proponent of best practices in pipeline automation, model evaluation, ethical AI usage, and continuous system enhancement. Additionally, your engagement in open-source contributions on platforms like GitHub or Kaggle will be highly appreciated. In terms of qualifications, you should hold a bachelor's or master's degree in computer science, statistics, mathematics, engineering, or a related field. With 9 to 12 years of experience in machine learning and computer vision, emphasizing large language models, you should be proficient in Python and its data science libraries like pandas, numpy, TensorFlow, pytorch, HuggingFace, LangChain, or Haystack. Demonstrating sound coding principles and familiarity with RAG practices and SLM fine-tuning are required skills. Experience in deploying and managing data science solutions on cloud services such as Azure, AWS, or GCP is essential. Proficiency in sourcing data from SQL and NoSQL databases is necessary, along with basic database knowledge. Possessing a Kaggle profile that showcases your expertise will be advantageous. Strong communication and presentation skills are mandatory, as well as the ability to balance independent and collaborative work in a fast-paced environment. Ideally, your educational background should include a bachelor's or master's degree from premier Indian institutes like IITs, IISc, NITs, BITS, IIITs, etc., in disciplines such as Computer Science, any Engineering field, Mathematics, or related quantitative areas.,

The role involves supporting the European ESG team in focusing on thematic trends across regional & sectoral aggregates and individual stocks related to Environment, Social, and Governance guidelines. As part of this role, your primary responsibilities will include developing and maintaining excel models to assess fund ownership for Global companies, sectors, and regions. You will be required to conduct thorough data quality checks on third party ESG data using financial databases and company filings to ensure the reliability of data for modeling purposes. Additionally, creating, updating, and managing comprehensive Excel databases on ESG data will be part of your routine tasks. You will also be involved in assisting the team in conducting back-tests of ESG related strategies, utilizing quantitative techniques to analyze historical and future trends. Furthermore, you will contribute to research report writing and summarizing peer research on thematic topics, primarily related to investment strategy for ESG investors. Supporting the onshore team on a daily basis, handling ad-hoc requests, and analyzing macro-level ESG trends for thematic reports will also be within your scope of work. The ideal candidate for this role would be proactive, possess experience in top-down macro research, have basic knowledge of Python coding, and demonstrate a keen interest in working within the ESG domain. Key skills required include advanced proficiency in MS Excel and report writing. Prior experience with VBA macros and Python, especially with libraries such as Numpy, Pandas, and Matplotlib, is preferred. Additionally, familiarity with financial databases like Bloomberg Finance LP, Datastream Eikon, or similar platforms, along with knowledge of various company filings, is desirable. A fundamental understanding of finance, including valuations, financial ratios, and the ability to extract data from company filings, would be beneficial for this role.,

As a Senior Data Scientist specializing in Generative AI at our organization, you will play a crucial role in driving technical innovation and delivering impactful results within a team setting. You will be responsible for working with financial data, applying NLP techniques, refining prompt engineering strategies for LLMs, collaborating with stakeholders, developing and testing Python code for GenAI solutions, integrating with vector databases, monitoring MLOps pipelines, researching emerging GenAI technologies, and troubleshooting and debugging GenAI models in production. To excel in this role, you must possess a Master's degree in Computer Science, Data Science, or a related field, with a Ph.D. being preferred. You should have 8-12 years of experience in a Data Scientist or equivalent role, with at least 4 years of specialized experience in Generative AI. Additionally, you should have demonstrable experience in the full lifecycle of real-world, production-level GenAI project implementation. You must stay up-to-date with the rapidly evolving GenAI landscape, continuously learn and explore new tools and techniques, and effectively communicate technical concepts to non-technical stakeholders. Proficiency in Python, along with expertise in key libraries for AI/ML and GenAI applications such as TensorFlow, PyTorch, and Transformers, is mandatory. Experience in designing and implementing scalable API architectures for GenAI applications, along with a deep understanding of Machine Learning concepts, is essential. Preferred qualifications for this role include experience with MLOps, cloud computing platforms, conversational AI solutions, and contributions to research and publications in the field of Generative AI. As a Senior Data Scientist, you will be expected to demonstrate strong technical leadership and mentorship skills, as well as excellent communication and collaboration abilities. This job description provides a comprehensive overview of the responsibilities and qualifications required for the Senior Data Scientist position. If you are a highly motivated individual with a strong passion for Generative AI and possess the necessary technical skills and experience, we encourage you to apply for this role.,

As a Software Engineer - Python Lead in our Noida team, you will play a key role in designing, developing, and maintaining web applications using Python and Django framework. Your expertise in REST API integration and GraphQL services will be crucial for efficient data exchange. Collaborating with the data science team, you will work on Machine Learning concepts, NLP, and Large Language Models (LLMs), utilizing libraries like Pandas, NumPy, and Scikit-learn. You will also be responsible for managing databases using PostgreSQL and ensuring smooth asynchronous communication with message-brokering systems like RabbitMQ. Troubleshooting, debugging, and optimizing code for performance improvements will be part of your daily tasks. We are seeking a candidate with a Bachelor's degree in Computer Science, Engineering, or a related field, along with 2 to 4 years of professional experience in Python software development. Your proven experience with Django, REST API integration, and GraphQL, coupled with exposure to Machine Learning, NLP, and AI-related technologies, will be highly valuable. Strong problem-solving skills, excellent communication abilities, attention to detail, and a collaborative team spirit are qualities we are looking for in our ideal candidate. If you are passionate about working with cutting-edge technologies and contributing to innovative projects, while ensuring high performance and scalability in your code, we encourage you to apply. An attractive salary package with health insurance, paid sick time, and Provident Fund benefits awaits the successful candidate. Join us in the morning shift at our Noida location and be part of our dynamic team driving technological advancements. Kindly share your resume with us at pooja@jmsadvisory.in to explore this exciting opportunity further.,

You'll need to have: Bachelors degree in Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field. Six or more years of professional experience in data science, machine learning, or a related role. Expert-level hands-on proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn, Matplotlib). Deep theoretical and practical knowledge of a wide range of machine learning algorithms (e.g., classification, regression, clustering, ensemble methods) and deep learning. Proven hands-on experience developing and deploying Generative AI solutions, with a strong understanding of LLMs, transformers, and vector databases. Experience with Multi-Modal RAG systems (handling text, images, and other data types). Strong proficiency in SQL for complex data extraction, manipulation, and analysis on large-scale datasets. Hands-on experience with cloud computing platforms, specifically Google Cloud Platform (GCP) and its AI/ML services. Even better if you have: A Master’s or Ph.D. in a relevant quantitative field. Practical experience in developing AI agents using frameworks like LangChain, Agent Development Kit (ADK), or LlamaIndex. Experience in designing and implementing robust LLM evaluation metrics and frameworks (e.g., RAGAS, ARES, TruLens) Experience with voice and speech technologies, such as Speech-to-Text (STT), Text-to-Speech (TTS), and building conversational AI or voicebot systems. Experience with MLOps/LLMOps principles and tools (e.g., Docker, Kubernetes, CI/CD pipelines for models, MLflow). GCP Professional Machine Learning Engineer certification.

Roles And Responsibilies Design, develop, and maintain scalable web applications and APIs using Django, Flask, and FastAPI . Write clean, efficient, and maintainable Python code following best practices. Develop RESTful services and integrate with front-end components. Work with NumPy and pandas for data manipulation and processing as needed. Optimize application performance and ensure scalability. Collaborate with cross-functional teams including front-end developers, designers, and product managers. Write and maintain comprehensive technical documentation. Perform code reviews and mentor junior team members.

As a Senior Azure Data Engineer, your responsibilities will include: Building scalable data pipelines using Databricks and PySpark Transforming raw data into usable business insights Integrating Azure services like Blob Storage, Data Lake, and Synapse Analytics Deploying and maintaining machine learning models using MLlib or TensorFlow Executing large-scale Spark jobs with performance tuning on Spark Pools Leveraging Databricks Notebooks and managing workflows with MLflow Qualifications: Bachelors/Masters in Computer Science, Data Science, or equivalent 7+ years in Data Engineering, with 3+ years in Azure Databricks Strong hands-on in: PySpark, Spark SQL, RDDs, Pandas, NumPy, Delta Lake Azure ecosystem: Data Lake, Blob Storage, Synapse Analytics Contract Position Location Remote Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing data, developing predictive models, and providing insights that support strategic decision-making across the organization. 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.- Continuously evaluate and improve existing AI/ML models to ensure optimal performance and relevance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data sets.- Experience with programming languages such as Python or R for data analysis.- Familiarity with machine learning frameworks and libraries, including TensorFlow or Scikit-learn.- Knowledge of data visualization tools to effectively communicate insights. Additional Information:- The candidate should have minimum 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

Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. 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 a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing complex data sets, deriving insights, and presenting findings to stakeholders to support informed decision-making. 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 best practices within the team and across departments.- Mentor junior professionals to enhance their skills and understanding of data science methodologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data.- Experience with machine learning frameworks and libraries such as TensorFlow or PyTorch.- Familiarity with programming languages such as Python or R for data analysis.- Knowledge of data visualization techniques to effectively communicate insights. 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

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 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 designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. 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.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and implement new technologies to improve system performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services, particularly in deploying AI solutions.- Familiarity with data preprocessing and feature engineering techniques.- Ability to design and implement scalable machine learning models. Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

1. Backend Development Design, develop, and maintain scalable backend systems using Python (typically with Django, Flask, or FastAPI). Build APIs (RESTful or GraphQL) to support frontend and mobile applications. 2. Database Management Work with relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB) databases. Write optimized queries and manage database migrations and integrations. 3. Integration & Automation Integrate third-party APIs and internal services. Automate repetitive tasks using Python scripts (e.g., data ingestion, report generation). 4. Testing & Debugging Write unit, integration, and functional tests using frameworks like PyTest or Unittest. Debug issues across the stack and ensure clean, maintainable code. 5. Code Review & Documentation Participate in code reviews and maintain documentation for features and services. Ensure adherence to coding standards and best practices. 6. Collaboration Work closely with frontend developers, DevOps, and product teams in an Agile/Scrum environment. Participate in daily stand-ups, sprint planning, and retrospectives. 7. Deployment & DevOps (Optional but Preferred) Familiarity with Docker, CI/CD pipelines, and cloud services (AWS, GCP, or Azure). Deploy and monitor Python applications in a production environment.

Key Responsibilities: Lead the AI development team, providing technical guidance and mentorship. Architect and develop scalable AI and machine learning models tailored to business needs. Collaborate with product managers, data engineers, and stakeholders to define AI project requirements. Drive innovation by researching and implementing state-of-the-art AI/ML algorithms and technologies. Oversee end-to-end AI lifecycle: data collection, preprocessing, model training, evaluation, deployment, and monitoring. Ensure AI solutions adhere to best practices in ethics, fairness, and data privacy. Optimize models for performance, scalability, and interpretability. Manage code quality through reviews, testing, and documentation. Stay updated with emerging trends and integrate relevant advances into projects. Coordinate cross-functional teams to integrate AI capabilities into products.

Key Responsibilities: Develop, fine-tune, and deploy large language models (LLMs) and advanced NLP algorithms. Design scalable architectures to integrate LLM capabilities into products and services. Work with unstructured text data: preprocessing, tokenization, embedding, and feature engineering. Optimize model performance, latency, and cost for production environments. Collaborate with data scientists, ML engineers, and product teams to understand requirements and deliver AI-powered solutions. Stay abreast of the latest research in LLMs, transformers, and NLP, and apply innovations. Build pipelines for data ingestion, model training, evaluation, and deployment. Ensure ethical use of AI and compliance with data privacy regulations. Mentor junior developers and contribute to code reviews and knowledge sharing.

Responsibilities: * Implement parsers for data extraction * Use AI/ML to enhance profile library * Use DPI to identify useful data for classification * Collect data through probes for device classification * Collaborate w/ cross-func teams for AI/ML Provident fund Health insurance

**APPLICABLE ONLY FOR IMMEDIATE JOINERS** Job Specification Job Title: Python Microservices +AI Experience: 5+ Years Location: Gurgaon (5 days WFO) Job Summary: We are seeking a Senior Python Developer with strong expertise in building microservices-based architectures and integrating AI/ML models into scalable applications. The ideal candidate will be proficient in Python , FastAPI/Flask/Django , and experienced in machine learning model deployment using tools like TensorFlow , PyTorch , or MLflow . You will work closely with data scientists, DevOps, and engineering teams to deliver intelligent, production-ready systems. Key Responsibilities: Microservices Development: Design, develop, and deploy Python-based microservices using FastAPI , Flask , or Django REST Framework . Build and maintain RESTful APIs and event-driven services. Ensure service reliability, scalability, and fault tolerance using modern design patterns. Integrate services with message brokers (Kafka, RabbitMQ) and databases (SQL and NoSQL). Work with DevOps to automate builds, testing, deployment, and monitoring (CI/CD pipelines). AI/ML Integration: Collaborate with data science teams to deploy and serve ML models in production. Build APIs and pipelines for real-time or batch inference using tools like TensorFlow Serving , TorchServe , SageMaker , or ONNX . Manage model lifecycle: versioning, A/B testing, rollback, logging, and monitoring. Ensure low-latency performance and robustness in AI model consumption. Key Skills: Python 3.x , FastAPI , Flask , or Django REST Framework Microservices architecture , API development , containerization AI/ML integration : TensorFlow, PyTorch, Scikit-learn, TorchServe, MLflow Model deployment via REST/gRPC or containerized solutions Docker , Kubernetes , CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI) Cloud platforms : AWS (SageMaker, Lambda, ECS), Azure, or GCP Databases : PostgreSQL, MongoDB, Redis Message brokers : Kafka, RabbitMQ, or similar Monitoring/logging : Prometheus, Grafana, ELK Stack, Sentry Version control : Git Preferred Qualifications: Experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow) Familiarity with data pipelines and feature stores Knowledge of API security , rate limiting , and token-based authentication (OAuth2, JWT) Experience working with asynchronous frameworks (e.g., asyncio, Celery) Exposure to AI-powered products such as chatbots, NLP engines, recommender systems, etc. Educational Background: Bachelors or Masters degree in Computer Science, Engineering, AI/ML, or a related field.

Job Title: Python Microservices Developer with AI Integration Experience: 5+ Years Location: Gurugram, India Job Type: Full-Time Work Mode: Onsite Job Overview: We are seeking a highly skilled Python Developer with experience in building microservices-based architectures and integrating AI/ML models into enterprise systems. The ideal candidate will work closely with data scientists, DevOps, and backend teams to create intelligent, scalable, and production-ready systems. Key Responsibilities: Design, develop, and deploy robust Python microservices for high-performance applications Collaborate with AI/ML teams to integrate trained models into microservices for real-time inference Build and maintain RESTful APIs to expose microservices and AI features Ensure high availability, performance, and security of microservices in production Optimize data pipelines and backend processes for scalability Participate in code reviews, architecture discussions, and agile ceremonies Monitor and troubleshoot microservices in production environments Required Skills & Experience: 5+ years of professional experience with Python and microservices architecture Strong knowledge of FastAPI , Flask , or Django REST Framework Experience deploying or integrating AI/ML models (e.g., scikit-learn, TensorFlow, PyTorch, OpenAI, Hugging Face) Familiarity with containerization and orchestration tools like Docker and Kubernetes Hands-on experience with REST APIs , JSON , and message queues (Kafka/RabbitMQ) Experience working with cloud platforms (AWS, GCP, or Azure) and CI/CD pipelines Proficient in using databases (SQL & NoSQL PostgreSQL, MongoDB, etc.) Preferred Qualifications: Exposure to AI/ML model deployment , model versioning, and inference best practices Experience using MLflow , Airflow , or similar workflow tools Familiarity with monitoring tools like Prometheus, Grafana, or ELK stack Strong understanding of software design principles and performance optimization

Senior Automation Engineer: 5 to 8 years Have you got what it takes? Experience in testing AI agents, chatbots Experience of AWS platform Testing knowledge on LLMs is preferred Good knowledge of Python What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Key Responsibilities: Design, develop, and execute test cases to validate data ingestion from source systems (SQL, APIs) to Databricks UAP platform. Perform schema validation, data completeness, transformation, and row-level data checks between source and target. Utilize SQL extensively for data profiling and validation. Leverage PySpark and Pandas for large-scale data comparison and automation. Maintain and enhance the Data Test Automation Framework using Python/PySpark for efficient and scalable data testing. Participate in daily stand-ups, sprint planning, and retrospectives following Agile practices. Manage and track test progress, issues, and risks in JIRA. Ensure adherence to QA documentation practices: Test Plan Test Scenarios & Test Cases Test Summary Reports Defect Reports Own and drive the Defect Life Cycle, working closely with developers and product teams to ensure timely resolution. Collaborate with business analysts and developers to understand data requirements and ensure high test coverage. Required Skills: 4+ years of experience in QA/testing with a strong focus on data validation. Strong proficiency in SQL (Joins, Subqueries, Aggregations, Data Profiling) Experience in testing data pipelines ingesting from SQL and APIs to Databricks. Hands-on with Python and Pandas for data manipulation. Working knowledge of PySpark and familiarity with Spark DataFrames, transformations, and data handling. Knowledge of Agile testing processes and QA best practices. Familiar with QA documentation and reporting standards. Experience with JIRA for test and defect management. Good understanding of Defect Life Cycle and its role in maintaining software quality.

Role Summary : We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities : - Lead and contribute to internal optimization-focused data science projects from design to deployment. - Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. - Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. - Collaborate with business stakeholders to gather requirements and translate them into data science use cases. - Build robust data pipelines and use statistical and machine learning methods to drive insights. - Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. - Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications : - Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. - Minimum 8 years of relevant experience in data science, with a strong focus on optimization. - Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. - Experience with end-to-end lifecycle of internal optimization projects. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. - Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. - Familiarity with dashboards and visualization tools like Power BI or Tableau. - Prior experience in consulting or internal centers of excellence (CoE) is a plus.

We are looking for a Python Developer with expertise in Python, SQL (PostgreSQL), Pandas, Numpy, Django, and AWS services (Lambda, S3, RDS, EC2). Be a part of developing and optimizing scalable solutions, enhancing performance & driving innovation. Provident fund

Data Quality Sr Engineer/LeadPython Automation - MandatoryData Automation (Pandas preferred)SQL ProficiencyAirflow - desirable skills to haveCI/CD Experience Test Script Development : Writing and maintaining automated test scripts using Python to perform functional, integration, regression, and performance testing.Test Framework Design : Designing and implementing testing frameworks and harnesses using Python libraries and tools, such as unittest, pytest, or Behave.Test Case Automation : Converting manual test cases into automated scripts to improve testing efficiency and repeatability.UI and API Testing : Automating user interface (UI) testing using web automation frameworks like Selenium or automating API testing using tools like Requests or third-party libraries.Data-Driven Testing : Implementing data-driven testing approaches by reading test data from external sources, such as Excel spreadsheets or databases.Continuous Integration (CI/CD) : Integrating automated tests into continuous integration and continuous deployment (CI/CD) pipelines to ensure early detection of issues.

Job Description Senior Developer or Module Lead with a total IT experience of 5-8 years. Strong programming knowledge in one of the following technology areas: 1. Python: Familiarity with frameworks like FastAPI or Flask, along with data libraries like NumPy and Pandas. 2. .NET: Knowledge of ASP.NET and Web API development. 3. Java: Proficiency with Spring or Spring Boot. Application development is mandate. Experience with any one of the following cloud platforms and services: 1. Azure: Azure App Service or Azure Functions, Azure Storage 2. AWS: Elastic Beanstalk, Lambda, S3 Experience with at least one of the following databases: Oracle, Azure SQL, SQL Server, Cosmos DB, MySQL, PostgreSQL, or MongoDB. Minimum of 2 years experience in developing GenAI solutions using any LLMs and deploying them on cloud platforms. Collaborate with team members and customers to understand project requirements and translate them into effective technical solutions. Use analytical and problem-solving skills to troubleshoot, debug, and improve solutions. Effectively collaborate with the team to ensure successful project delivery. Possess strong communication skills to engage effectively with customers.

Job Description: - Technical Lead with a total IT experience of 8-12 years.- 2+ years of experience as a Technical Lead.- Strong programming knowledge in one of the following technology areas:1. Python: Familiarity with frameworks like FastAPI or Flask, along with data libraries like NumPy and Pandas.2. .NET: Knowledge of ASP.NET and Web API development.3. Java: Proficiency with Spring or Spring Boot.- Experience with any one of the following cloud platforms and services:1. Azure: Azure App Service or Azure Functions, Azure Storage2. AWS: Elastic Beanstalk, Lambda, S3- Experience with at least one of the following databases: Oracle, Azure SQL, SQL Server, Cosmos DB, MySQL, PostgreSQL, or MongoDB.- Minimum of 3 months experience in developing GenAI solutions using any LLMs and deploying them on cloud platforms.- Lead, mentor, and manage a team of developers to deliver complex IT solutions.- Collaborate with team members and customers to understand project requirements and translate them into effective technical solutions.- Use analytical and problem-solving skills to troubleshoot, debug, and improve solutions.- Effectively lead the development team to ensure successful project delivery.- Possess strong communication skills to engage effectively with customers

Role: Tableau Specialist Skills: Tableau, SQL, Python (especially Pandas) Budget: Up to 23 LPA Location : Gurgoan