1551 Pandas Jobs - Page 6

1.Familiar with CVXPY, NumPy, Flash, Pandas , Python 2.Should be Experienced with Linear Equations / Algorithms 3.AI / ML Techniques Used Required Candidate profile 1.Ability to understand scenarios that are complex and create mathematical models to solve them using the packages stated herein.

You are a highly skilled and motivated Lead Data Scientist / Machine Learning Engineer sought to join a team pivotal in the development of a cutting-edge reporting platform. This platform is designed to measure and optimize online marketing campaigns effectively. Your role will involve focusing on data engineering, ML model lifecycle, and cloud-native technologies. You will be responsible for designing, building, and maintaining scalable ELT pipelines, ensuring high data quality, integrity, and governance. Additionally, you will develop and validate predictive and prescriptive ML models to enhance marketing campaign measurement and optimization. Experimenting with different algorithms and leveraging various models will be crucial in driving insights and recommendations. Furthermore, you will deploy and monitor ML models in production and implement CI/CD pipelines for seamless updates and retraining. You will work closely with data analysts, marketing teams, and software engineers to align ML and data solutions with business objectives. Translating complex model insights into actionable business recommendations and presenting findings to stakeholders will also be part of your responsibilities. Qualifications & Skills: Educational Qualifications: - Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or related field. - Certifications in Google Cloud (Professional Data Engineer, ML Engineer) is a plus. Must-Have Skills: - Experience: 5-10 years with the mentioned skillset & relevant hands-on experience. - Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer). - ML Model Development: Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP. - Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL for large-scale data processing. - Cloud & Infrastructure: Expertise in GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Cloud Storage) or equivalent cloud platforms. - MLOps & Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control (MLflow, Kubeflow, Vertex AI, or similar tools). - Data Warehousing & Real-time Processing: Strong knowledge of modern data platforms for batch and streaming data processing. Nice-to-Have Skills: - Experience with Graph ML, reinforcement learning, or causal inference modeling. - Working knowledge of BI tools (Looker, Tableau, Power BI) for integrating ML insights into dashboards. - Familiarity with marketing analytics, attribution modeling, and A/B testing methodologies. - Experience with distributed computing frameworks (Spark, Dask, Ray). Location: - Bengaluru Brand: - Merkle Time Type: - Full time Contract Type: - Permanent,

You will be part of our Data Engineering Team in Gurgaon, Noida, or Pune, contributing to the development and management of large enterprise data and analytics platforms. Your role will involve collaborating with the data engineering and data science teams to implement scalable data lakes, data ingestion platforms, machine learning analytics platforms, and more. With at least 3 years of industry experience, you will be responsible for creating end-to-end data solutions and optimal data processing pipelines for handling large volumes of diverse data types. Proficiency in Python, including knowledge of design patterns and strong design skills, is essential. You should have expertise in working with PySpark Dataframes, Pandas Dataframes, and developing efficient data manipulation tasks. Experience in building Restful web services, API platforms, SQL, NoSQL databases, and stream-processing systems like Spark-Streaming and Kafka will be crucial. You will collaborate with the data science and infrastructure teams to deploy machine learning solutions in production environments. It would be advantageous if you have experience with testing libraries like pytest, knowledge of Dockers, Kubernetes, model versioning with mlflow, and microservices libraries. Familiarity with machine learning algorithms and libraries is a plus. Our ideal candidate is proactive, independent, and enjoys problem-solving. Continuous learning is encouraged as we are a rapidly growing company. Being a team player and an effective communicator is essential for success in this role.,

Job Description: As an AI Engineer Intern at Brainwonders, you will have the exciting opportunity to work in cutting-edge fields like Large Language Models (LLMs), AI Agents, ML Fundamentals, and Cloud Deployment with a focus on AWS. This internship is designed for individuals with 0-1 year of experience, including final-year students and freshers. The position is based in Borivali East, Mumbai, and offers the possibility of a full-time offer upon successful completion of the internship. Your primary responsibilities will include building and testing LLM-based applications and workflows, experimenting with agent frameworks such as LangGraph and CrewAI, and utilizing transformer models like LLaMA and Mistral for domain-specific tasks. Additionally, you will deploy models and services on AWS using tools like Lambda, EC2, and SageMaker, and collaborate on prompt engineering, fine-tuning, and pipeline optimization. To excel in this role, you should have a solid understanding of LLMs, tokenization, and transformers, along with proficiency in Python programming using libraries like Pandas, NumPy, Hugging Face, and LangChain. Exposure to AWS services like EC2, Lambda, S3, or SageMaker is essential, as well as a strong eagerness to explore real-world AI use cases such as agents, copilots, and RAG-based systems. Basic knowledge of machine learning and hands-on project experience will be advantageous. It would be beneficial if you have experience with serverless deployments on AWS, familiarity with monitoring and logging tools like CloudWatch and OpenTelemetry, and a track record of contributing to open-source AI tools or models. This internship offers a unique opportunity to work with a dynamic team and gain valuable experience in the field of artificial intelligence. Thank you for considering Brainwonders as your next career destination.,

As an AI/ML Developer at our company in Meerut, you will utilize your 2 to 5 years of hands-on experience to design, build, and deploy machine learning models. Your main responsibilities will include developing models for various tasks like classification, regression, clustering, or NLP/computer vision. You will collaborate with cross-functional teams to understand business requirements and implement AI/ML solutions accordingly. Your expertise in Python libraries such as Pandas, NumPy, and Scikit-learn will be crucial in cleaning, preprocessing, and analyzing large datasets. Additionally, you will work with deep learning frameworks like TensorFlow, PyTorch, or Keras to fine-tune models for optimal performance, accuracy, and scalability. Developing APIs or services for model deployment and monitoring post-deployment performance will also be part of your responsibilities. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. Your strong proficiency in Python and experience with ML algorithms and evaluation metrics will be essential. Exposure to deep learning frameworks and tools like Flask, FastAPI, Docker, or AWS SageMaker will be advantageous. Knowledge of SQL, NoSQL databases, version control tools like Git, and cloud platforms like AWS/GCP/Azure will also be beneficial. Keeping yourself updated with the latest advancements in AI/ML research and techniques is encouraged to contribute effectively to our projects. If you are passionate about leveraging AI and ML technologies to drive innovation and solve real-world problems, we invite you to join our dynamic team and make a meaningful impact in the field.,

As a Junior Generative AI Developer with 1 to 2.6 years of experience, you will be an integral part of our dynamic team focusing on Artificial Intelligence. Your role will involve working on the development, training, and deployment of AI models, with a specific emphasis on generative AI. Collaboration with senior developers will be key as you contribute towards enhancing AI-driven applications. Your responsibilities will include assisting in the development and implementation of generative AI models and algorithms. You will work closely with senior developers to build, train, and fine-tune AI models using frameworks like TensorFlow, PyTorch, or similar tools. Integration of AI models into applications for optimal performance and scalability will also be a part of your duties. Furthermore, you will participate in data preprocessing, feature engineering, and model evaluation processes. Your role will also involve supporting the deployment and monitoring of AI solutions in production environments. Code reviews, debugging, and optimization of AI models will be essential tasks to ensure effective functionality. To excel in this role, you should possess 1 to 2.6 years of experience in AI/ML development, particularly focusing on generative AI. A solid understanding of machine learning concepts, neural networks, and deep learning frameworks is required. Proficiency in programming languages such as Python, along with exposure to libraries like TensorFlow, PyTorch, or Keras, will be beneficial. Experience with data manipulation tools like Pandas, NumPy, and SQL is also necessary. Familiarity with version control systems such as Git is preferred. Strong problem-solving skills, a keen willingness to learn and adapt, good communication abilities, and the capacity to work collaboratively within a team environment are essential for success in this role. This position is based in Indore, Madhya Pradesh, and is an on-site work opportunity. The role may require you to work across various locations in India and globally, including the USA, UK, Australia, and the Middle East, with on-site benefits applicable. If you meet the required qualifications and are excited about contributing to cutting-edge AI projects, we encourage you to apply from the specified locations. Join us in shaping the future of Artificial Intelligence and machine learning technologies. Apply Now,

As an experienced and passionate AI/ML Trainer, you will be responsible for delivering hands-on training for a structured Artificial Intelligence & Machine Learning program. This contract-based opportunity is ideal for professionals with strong technical expertise and a flair for teaching. Your key responsibilities will include delivering in-depth classroom and lab-based training sessions on core AI/ML topics, designing, developing, and maintaining training material, assignments, and project modules, conducting doubt-clearing sessions, assessments, and live coding exercises, guiding students through capstone projects and real-world datasets, evaluating learner performance, and providing constructive feedback. It will also be your responsibility to stay updated with the latest industry trends, tools, and techniques in AI/ML. The topics you will cover during the training sessions include Python for Data Science, Statistics and Linear Algebra Basics, Machine Learning (Supervised, Unsupervised, Ensemble Techniques), Deep Learning (ANN, CNN, RNN, etc.), Natural Language Processing (NLP), Model Deployment (Flask, Streamlit, etc.), and hands-on experience with libraries like NumPy, Pandas, Scikit-learn, TensorFlow/Keras, OpenCV, and tools such as Jupyter, Git, Google Colab, and VS Code. To be eligible for this role, you should have a Bachelor's or Master's degree in Computer Science, Data Science, or a related field, along with at least 24 years of relevant industry/training experience in AI/ML. Strong communication and presentation skills are essential, as well as the ability to mentor and engage learners of varying skill levels. Prior training or teaching experience, whether academic or corporate, is preferred. Your skills should include expertise in ML, scikit-learn, TensorFlow, Jupyter, Natural Language Processing, OpenCV, Python for Data Science, Google Colab, Deep Learning, Model Deployment, NumPy, Keras, Linear Algebra, Statistics, Pandas, Git, VS Code, and a good understanding of contractual, artificial intelligence, and machine learning concepts.,

As a Data Scientist at Rockwell Automation, you will be part of an analytics team working alongside engineers, product managers, and partners to drive AI-powered features for the platform. Collaborating with process engineers and operations leads, you will be responsible for developing predictive-maintenance models, enhancing throughput and yield, and implementing cost-saving strategies across manufacturing lines. Your role will involve managing end-to-end projects, including scoping data-collection architectures, prototyping machine-learning solutions, deploying models into the IIoT platform, and establishing real-time monitoring dashboards. Additionally, you will mentor junior analysts, engage in pilot projects with R&D, and contribute to shaping the roadmap for advanced-analytics capabilities. If you enjoy tackling complex industrial challenges, translating diverse data sources into actionable business insights, and evolving as a trusted analytics partner for clients, Rockwell Automation offers an environment where you can advance both your career and your clients" success. Reporting to the Lead Sr Solution Architect, you will be based at our Electronics City office in Bengaluru, following a hybrid work model. Your Responsibilities: - Leading end-to-end data-science projects by defining hypotheses, designing experiments, building features, training models, and deploying them in production. - Collaborating with Engineering to integrate ML services into the microservices architecture and with Marketing for A/B testing data-driven campaigns. - Creating scalable ETL pipelines and designing data schemas to support analytics and modeling at scale. - Developing monitoring dashboards and automated retraining workflows to ensure model accuracy. Essential Qualifications: - 6-10 years of experience in Python, SQL, Pandas, scikit-learn, and PySpark. - Proficiency in supervised and unsupervised ML techniques, advanced statistics, computer vision, and generative-AI projects. - Familiarity with Docker, Kubernetes, cloud ML platforms, and communicating data insights effectively. Preferred Qualifications: - Familiarity with BI tools, MLOps frameworks, FastAPI, and Linux environments. What We Offer: - Comprehensive benefits package including mindfulness programs, volunteer time off, donation matching, employee assistance programs, wellbeing initiatives, and professional development resources. - Commitment to fostering a diverse, inclusive, and authentic workplace. At Rockwell Automation, we value diversity and encourage candidates who are interested in the role to apply even if their experience does not align perfectly with every qualification listed. You might be the ideal fit for this position or other opportunities within the organization.,

As an AI/ML Engineer, your primary responsibility will be to collaborate effectively with cross-functional teams, including data scientists and product managers. Together, you will work on acquiring, processing, and managing data for the integration and optimization of AI/ML models. Your role will involve designing and implementing robust, scalable data pipelines to support cutting-edge AI/ML models. Additionally, you will be responsible for debugging, optimizing, and enhancing machine learning models to ensure quality assurance and performance improvements. Operating container orchestration platforms like Kubernetes with advanced configurations and service mesh implementations for scalable ML workload deployments will be a key part of your job. You will also design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment. Engaging in advanced prompt engineering and fine-tuning of large language models (LLMs) will be crucial, with a focus on semantic retrieval and chatbot development. Documentation will be an essential aspect of your work, involving the recording of model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC. Researching and implementing cutting-edge LLM optimization techniques such as quantization and knowledge distillation will be part of your ongoing tasks to ensure efficient model performance and reduced computational costs. Collaborating closely with stakeholders to develop innovative natural language processing solutions, with a specialization in text classification, sentiment analysis, and topic modeling, will be another significant aspect of your role. Staying up-to-date with industry trends and advancements in AI technologies and integrating new methodologies and frameworks to continually enhance the AI engineering function will also be expected of you. In terms of qualifications, a Bachelor's degree in any Engineering stream is required, along with a minimum of 4+ years of relevant experience in AI. Proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) is essential. Experience with LLM frameworks, big data processing using Spark, version control, and experiment tracking, as well as proficiency in software engineering and development, DevOps, infrastructure, cloud services, and LLM project experience are also necessary. Your expertise should include a strong mathematical foundation in statistics, probability, linear algebra, and optimization, along with a deep understanding of ML and LLM development lifecycle. Additionally, you should have expertise in feature engineering, embedding optimization, dimensionality reduction, A/B testing, experimental design, statistical hypothesis testing, RAG systems, vector databases, semantic search implementation, and LLM optimization techniques. Strong analytical thinking, excellent communication skills, experience translating business requirements into data science solutions, project management skills, collaboration abilities, dedication to staying current with the latest ML research, and the ability to mentor and share knowledge with team members are essential competencies for this role.,

You are an experienced Python Backend Engineer with a strong background in AWS and AI/ML. Your primary responsibility will be to design, develop, and maintain Python-based backend systems and AI-powered services. You will be tasked with building and managing RESTful APIs using Django or FastAPI for AI/ML model integration. Additionally, you will develop and deploy machine learning and GenAI models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Your expertise in implementing GenAI pipelines using Langchain will be crucial, and experience with LangGraph is considered a strong advantage. You will leverage various AWS services such as EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment purposes. Collaborating with data scientists, DevOps, and architects to integrate models and workflows into production will be a key aspect of your role. Furthermore, you will be responsible for building and managing CI/CD pipelines for backend and model deployments. Ensuring the performance, scalability, and security of applications in cloud environments will be paramount. Monitoring production systems, troubleshooting issues, and optimizing model and API performance will also fall under your purview. To excel in this role, you must possess at least 5 years of hands-on experience in Python backend development. Your strong experience in building RESTful APIs using Django or FastAPI is essential. Proficiency in AWS cloud services, a solid understanding of ML/AI concepts, and experience with ML libraries are prerequisites. Hands-on experience with Langchain for building GenAI applications and familiarity with DevOps tools and microservices architecture will be beneficial. Additionally, having Agile development experience and exposure to tools like Docker, Kubernetes, Git, Jenkins, Terraform, and CI/CD workflows will be advantageous. Experience with LangGraph, LLMs, embeddings, and vector databases, as well as knowledge of MLOps tools and practices, are considered nice-to-have qualifications. In summary, as a Python Backend Engineer with expertise in AWS and AI/ML, you will play a vital role in designing, developing, and maintaining intelligent backend systems and GenAI-driven applications. Your contributions will be instrumental in scaling backend systems and implementing AI/ML applications effectively.,

The role of AI Engineer at our company involves developing essential software features to ensure timely delivery while meeting the company's performance and quality standards. As an AI Engineer, you will be part of our team working on various data science initiatives, ranging from traditional analytics to cutting-edge AI applications. This position provides a great opportunity to gain experience in machine learning and artificial intelligence across different domains. Your core responsibilities will include developing and maintaining data processing pipelines using Python, creating and deploying GenAI applications through APIs and frameworks like semantic kernel and Langchain, conducting data analysis and generating insightful visualizations, collaborating with different teams to understand business requirements and implement AI solutions, contributing to the development and upkeep of language model evaluations and other AI applications, writing clean, documented, and tested code following best practices, and monitoring application performance while making necessary improvements. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, along with at least 2 years of hands-on experience in applied data science and machine learning. Proficiency in Python programming, familiarity with LLMs and their applications, experience with cloud platforms such as AWS, Azure, or GCP, version control using Git, strong analytical and problem-solving skills, and knowledge of PyTorch and Deep Learning fundamentals are essential requirements. In terms of technical skills, you should have knowledge of LLMs and Generative AI platforms, be familiar with popular LLM APIs, have experience with frameworks like Semantic Kernel, LangChain, OpenAI, and Google Vertex AI, be proficient in programming languages including Python, SQL, and R, have expertise in libraries such as HuggingFace, Transformers, Matplotlib, and Seaborn, be skilled in ML/Statistics with tools like scikit-learn, statsmodels, and PyTorch, understand data processing with Pandas, NumPy, and PySpark, and have experience working with cloud platforms like AWS, GCP, or Azure. This full-time permanent position is located in Bengaluru and is with the Merkle brand.,

We're Hiring: Data Science Engineer (Python) Location: A-50, Second Floor, Sector-67, Noida-201301 Experience: 03 Years Company: Crosslynx US LLC Are you passionate about solving real-world problems using data and Python? Join our team at Crosslynx and work on innovative projects in AI, ML, and cloud-based analytics platforms. About Us Crosslynx US LLC is a global leader in Product Engineering and Cloud Engineering , delivering cutting-edge solutions across industries. With expertise in AI/ML, Embedded Systems, Cloud Applications, RF Design, and Quality Assurance , we empower enterprises worldwide. Our R&D and development centers are located in Milpitas (California, USA) and Noida (India) . Role Overview As a Data Science Engineer , you’ll be responsible for building scalable data pipelines, developing machine learning models, and integrating data-driven solutions into enterprise platforms. You’ll collaborate with cross-functional teams to deliver high-impact analytics and AI solutions. Key Responsibilities Develop and maintain Python-based data processing and analytics pipelines Work with structured and unstructured data from multiple sources and databases Build and deploy machine learning models using frameworks like scikit-learn, TensorFlow, PyTorch Implement data visualization dashboards using tools like Plotly, Dash, or Streamlit Ensure data integrity, security, and compliance across systems Collaborate with software engineers, data analysts, and product teams Write unit tests and debug data workflows for reliability and scalability Use version control tools like Git for collaborative development Required Skills Strong proficiency in Python and familiarity with Python testing frameworks (e.g., Pytest, Robot) Experience with ORM libraries and database schema design Understanding of multi-process architecture and event-driven programming Basic knowledge of HTML5, CSS3, JavaScript for dashboard integration Familiarity with templating engines (e.g., Jinja2) Knowledge of authentication/authorization across systems Strong debugging and unit testing skills Experience with Git/SVN for version control Preferred Skills Exposure to data science libraries like Pandas, NumPy, Matplotlib Experience with cloud platforms (AWS, GCP, Azure) Familiarity with CI/CD pipelines for model deployment Understanding of data security and compliance standards Knowledge of API integration and microservices architecture Perks & Benefits Healthy work-life balance Freedom to innovate and express ideas Opportunities to work with global clients Exposure to cutting-edge technologies in AI/ML, IoT, 5G, Cloud Ready to Apply? Send your resume to prabha.pandey@crosslynxus.com Let’s build intelligent solutions together!

Gryphon technology pvt ltd 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.

Dear Candidate, One of the MNC is Hiring for Python Backend developer Role: Python Backend developer Skill : Python, Pandas, Py Torch, NumPy, Opps Concepts Experience 5 to 8 Years Notice : Immediate to 15 Days Location : Bangalore Mode of work: Hybrid Employment type : Fulltime Please find the below JD: About the role: This role will report to the R&D manager. You will work in collaboration with a global team of stakeholders from Product Owner, Local Team Leader, data scientist, Software program manager. We are looking for an Edge Software Developer to produce scalable software solutions for Edge products that communicates with the Cloud. You will be part of a cross-technical team thats responsible for the full software development life cycle, from conception to deployment. As a Developer, you should be comfortable with coding languages, development frameworks and design structures. You should also be a team player with interest for software quality and test strategy. The project is following Agile methodologies and Scrum of Scrum framework. Your Responsibilities: Work with development teams and product managers to ideate Edge software solutions, in an Agile scale environment Design Edge and cloud interface architectures Develop and manage well-functioning databases and applications CI/CD Test software to ensure responsiveness and efficiency Troubleshoot, debug and upgrade software Create security and data protection settings Review technical documentation Work with architect and product owner to improve software Mentor and guide the development team Provide technical expertise to the team on all software topics Your profile In-depth knowledge of Python software development, including frameworks, tools, and systems (e.g., NumPy, Pandas, SciPy, PyTorch) Experience with developing back-end components and ensuring seamless integration with other services and applications Strong problem-solving skills and ability to work in a collaborative environment Qualifications: Bachelors degree in computer science or a related field 5+ years of experience as a Python developer Interested candidates kindly reach out to pavan.m@kanarystaffing.com

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.,