6430 Pandas Jobs - Page 22

What Will Your Role Look Like Develop end-to-end data science and GenAI solutions for enterprise data products. Design, build, and deploy predictive models, advanced ML algorithms, and GenAI systems that drive actionable insights. Collaborate with business teams to understand analytics needs and translate them into technical solutions. Work on RAG pipelines, knowledge graphs, and hybrid AI search systems. Conduct research, rapid prototyping, and experimentation on state-of-the-art AI/ML/LLM technologies. Monitor and optimize model performance in production using modern MLOps practices. Mentor junior team members and contribute to best practices in AI/ML development. Why You Will Love This Ro...

About The Role Project Role : Tech Delivery&Op Excellence Practitioner Project Role Description : Understand how to deliver value to clients, and use that commercial competency to apply methods or certifications appropriately. Attention to detail and deep expertise allow them to see inherent risks or improvement opportunities that others may not. Work directly with client teams to ensure a high standard of delivery and operational excellence are met. Must have skills : Microsoft Power Business Intelligence (BI) Good to have skills : Data Science Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are looking for a highly skilled An...

Your role and responsibilities An AI Data Scientist at IBM is not just a job title - it€™s a mindset. You€™ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requ...

PRIMARY RESPONSIBILITIES / KEY RESULT AREAS: Specify, design, develop, test and maintain operational software for orchestration, operations and administration of the SES satellite fleet and ground station network Code Quality Assurance: Includes code reviews. Ensure code quality, suggest areas for development, and ensure best practices are followed. Documentation: Proper code and technical specifications documentation is required to ensure that the development process is open and readily available to the team. Develop and execute automated BDD (Behavior-driven development) testing to ensure the reliability and performance of software components. Support the transition of the new products int...

Role You will be part of a cutting-edge team working on Large Language Models (LLMs), Machine Learning, Deep Learning, and Retrieval-Augmented Generation (RAG) pipelines. Youll help design, build, and evaluate AI systems that solve complex real-world problems at scale. Key Responsibilities Develop and optimize RAG pipelines: document chunking, embedding generation, vector storage, retrieval, reranking, and grounded generation with citations. Work on LLM-based applications: fine-tuning open-source models ( LLaMA , Mistral, etc.), building prompt strategies, and deploying inference services. Contribute to machine learning models (classification, regression, recommendation, anomaly detection) a...

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Required technical and professional expertise Experience with Apache Spark (PySpark)...

Job Description/Preferred Qualifications Required skills/Competencies Programming Languages Strong in Python, data structures, and algorithms. Hands-on with NumPy, Pandas, Scikit-learn for ML prototyping. Machine Learning Frameworks Understanding of supervised/unsupervised learning, regularization, feature engineering, model selection, cross-validation, ensemble methods (XGBoost, LightGBM). Deep Learning Techniques Proficiency with PyTorch or TensorFlow/Keras Knowledge of CNNs, RNNs, LSTMs, Transformers, Attention mechanisms. Familiarity with optimization (Adam, SGD), dropout, batch norm. LLMs & RAG Hugging Face Transformers (tokenizers, embeddings, model fine-tuning). Vector databases (Milv...

Senior Data Scientist with 3-5 years of hands-on industry experience in machine learning (ML) and natural language processing (NLP). In this role, you will help design, develop, and maintain document intelligence platforms that power multiple product streams across the organization. As a Senior Data Scientist, you will collaborate closely with data engineers, domain experts, and fellow data scientists to unlock large-scale data capabilities. You will work with both structured and unstructured clinical datasets, applying advanced algorithms and state-of-the-art modeling techniques to build, optimize, and deploy scalable ML/NLP solutions in production environments. Your contributions will dire...

Job Purpose Skilled Python Developer with 2+ years of experience in Python, FastAPI, data libraries (NumPy, Pandas, Seaborn, Matplotlib), NoSQL, Git, and Linux, who can independently deliver high-quality code and take ownership of action items, with added advantage if experienced in Django, Java, JavaScript, Event Hub, or Agile. This will be specifically needed for account aggregator project developments and support. Duties and Responsibilities Write clean, efficient, and scalable Python code. Build APIs and backend services using FastAPI. Work extensively with NumPy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization. Integrate with NoSQL databases. Collaborate using Gi...

Job Description/Preferred Qualifications Role You will be part of a cutting-edge team working on Large Language Models (LLMs), Machine Learning, Deep Learning, and Retrieval-Augmented Generation (RAG) pipelines. Youll help design, build, and evaluate AI systems that solve complex real-world problems at scale. Key Responsibilities Develop and optimize RAG pipelines: document chunking, embedding generation, vector storage, retrieval, reranking, and grounded generation with citations. Work on LLM-based applications: fine-tuning open-source models (LLaMA, Mistral, etc.), building prompt strategies, and deploying inference services. Contribute to machine learning models (classification, regressio...

Project description The Risk Engine Engineer role is in the counterparty credit risk (CCR) modelling and analytics team within R&C model development group. The candidate is joining our global team for the counterparty credit risk modelling covering all assets classes, and in particular, for FX and interest rate derivatives. Responsibilities New platform integration into existing risk and pricing systems. Develop APIs and adapters for internal applications and data flows. Implement and optimize risk calculations. Ensure scalability and performance for large portfolios. Build automated testing frameworks for model validation. Collaborate with quantitative analysts and risk managers to align re...

Key Responsibilities Develop algo focusing on optical modeling and computational geometry-based image processing algos and models Stay updated with emerging technologies and industry best practices. Bring new ideas to the team by exploring modern frameworks or tools that could enhance the platforms capabilities. Understanding on Graph algorithms , spatial data structures, and numerical optimization with efficient handling of geometric queries and transformations Required Qualifications Education: Masters degree in Computer Science or a related field, or Bachelors degree in Computer Science (or related) with at least 3 years of hands-on image processing algos Experience: Minimum 3+ years of p...

4-5 years of hands-on experience in machine learning or data science roles. Proficient in Python and ML/DL libraries: scikit-learn, pandas, PyTorch, TensorFlow. Strong knowledge of traditional ML and deep learning, sequence and NLP tasks.

What Youll Do Collaborate with crossfunctional teams to develop and enhance our GenAIPoweredsmart digital assistantLeverage your expertise in NLP and transformer architectures to create intelligentconversational agents Dive into the world of traditional NLP techniques and stay ahead of the curveApply your strong understanding of fundamental conceptsstatistics linear algebracalculus regression classification and time series analysisto extract valuableinsights from dataBe the driving force behind our data visualization efforts Whether its Tableau PowerBI or Cognos youll create compelling visualizations that bring data to lifeContribute to the development of a fantastic visualization layer for ...

Job Title: - Senior Python Developer Job Location: Remote Experience Level: 4+ Yrs Commitment: Full Availability (8 Hrs/day) and 4 hours overlap with PST time zone (i.e. b/w 8pm to 12pm IST) Minimum 20 hours/week with 4-hour PST overlap (options: 20, 30, or 40 hrs/week). Mandatory Skills: Expert-level proficiency in Python and core libraries Pandas, NumPy, AsyncIO, FastAPI, or similar. Professional experience writing Python in production environments . Role Overview: Were looking for a world-class Python Developer someone who lives and breathes code, optimizes for performance, and thrives on solving complex engineering challenges. As part of the Top Coder Track, youll work on high-performanc...

Develop and maintain Python-based applications and services Strong knowledge of Python and OOP concepts Experience with Django / Flask / FastAPI Good understanding of REST APIs and microservices Hands-on experience with MySQL PostgreSQL MongoDB

We seek a AI Engineer with min 3 years of hands-on experience (or strong internships/projects) in machine learning, NLP, or GenAI. You will support the development and deployment of AI models, contribute to data preparation pipelines, and learn best practices in MLOps and applied AI engineering. Key Responsibilities 1. Model Development & Support Assist in building ML models (classification, regression, clustering, forecasting). Contribute to fine-tuning and prompt engineering for LLMs (GPT, LLaMA, etc.). Experiment with vector databases and RAG pipelines for GenAI applications. 2. Data Preparation & Engineering Work with structured/unstructured datasets for ML training. Perform data cleanin...

Fine-tune and train LLMs, SLMs and VLMs using frameworks like Hugging Face, PyTorch, or TensorFlow Hands-on with Data Engineering & MLOps, LLMs, embeddings, transformers, and vector databases. Hands-on with LLMs, embeddings, transformers, and vector databases. Logical thinking and hands-on projects with realtime problem statements Python Fast API Hands-on Experience with prompt tuning, prompt chaining, and agent-based design patterns, Scikit-learn, Pandas, PyTorch/TensorFlow. Yes, Agents Strong command of any cloud matching AWS AI/ML stack (SageMaker, Bedrock, Lambda, etc) – Yes, Has limited exposure to AWS Knowledge of LLM evaluation techniques and prompt guardrails

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovativ...

Salary : 15 to 35 LPA Exp: 2 to 6 years Location :Pune/Gurgaon/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 2+ years exp on Python , ML and Gen Ai model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data a...

Senior Alteryx Developer 4+ Years Bangalore (Kothanur) - Hybrid Job Description :- Migration & Development (60%) Develop end-to-end migration of 25+ Excel-based macros, and MS Access databases to Alteryx Designer workflows Analyse and document existing business logic embedded in Excel macros, Access SQL queries, and manual processes Design and develop complex, scalable Alteryx workflows using best practices for data extraction, transformation, and loading (ETL) Create reusable Alteryx macros and Analytic Apps to enable self-service capabilities for business users Integrate data from multiple sources including MS Access Server, flat files (CSV, Excel), APIs, and shared network folders Impleme...

As an AI/ML Engineer at our company, you will be responsible for developing, training, and deploying AI/ML models for various business use cases. Your role will involve performing data preprocessing, exploratory data analysis, and feature engineering. Additionally, you will work on signal processing techniques to extract meaningful insights from structured/unstructured data. Collaboration with software, data, and networking teams to integrate AI solutions into production systems is a key aspect of this role. You will also be optimizing models for performance, accuracy, and scalability, implementing and maintaining ML pipelines and workflows, as well as researching and experimenting with new ...

As a Backend Developer with 2-4 years of experience, your role will involve the following responsibilities: - Good Python know-how, including mypy, black, isort, flake8. - Experience with unit test or pytest frameworks. - Experience in designing and integrating RESTful APIs, with a preference for experience with Django & DRF. - Good debugging and optimization skills. - Experience in unit/integration testing. - Problem-solving mindset is a must. - Solid knowledge of working with Linux environments. - Gitlab & git knowledge. - Deep understanding of Python specifics, including decorators, generators, and context managers. - Awareness of PEP documents and their relevance for daily development wo...

As a Computer Vision Intern at our company, you will play a crucial role in building and enhancing our image recognition pipeline. Your responsibilities will include dataset management, image collection, annotation validation, dataset cleaning, preprocessing, model training, augmentation, and evaluation. You will contribute directly to the development of our production-ready pipeline. Responsibilities: - Organize, clean, and preprocess large-scale retail image datasets. - Validate and manage annotations using tools like Roboflow, CVAT, or LabelImg. - Apply augmentation techniques and prepare datasets for training. - Support in training YOLOv5/YOLOv8-based models on custom datasets. - Run mod...

As a Data Engineer or ML Engineer at UBS, you will play a crucial role in driving the delivery of an innovative ecosystem of tools and services to support the bank's global AI Strategy. Your main responsibilities will include: - Leading a team of Senior Engineers in the country - Interacting directly with product owners and internal users to identify requirements, develop technical solutions, and execute projects - Developing an SDK to capture data product, dataset, and AI/ML model metadata automatically - Integrating and publishing metadata into UBS's AI Use-case inventory and data product and dataset catalog for discovery and regulatory compliance - Designing and implementing services to c...