1603 Pandas Jobs - Page 2

As a Machine Learning Engineer at Optimum Data Analytics, you will be part of a strategic technology partner delivering reliable turnkey AI solutions. Your role will involve designing, developing, and deploying machine learning models for real-world applications using modern ML tools and frameworks. You will collaborate with cross-functional teams to ensure high-quality results and client satisfaction. Additionally, you will work on integrating and experimenting with Large Language Models, such as OpenAI GPT and Hugging Face Transformers, to drive outcomes that matter. Your expertise in Python programming, machine learning algorithms, and model development will be crucial in optimizing end-to-end ML pipelines and improving model accuracy and reliability. Key Responsibilities: - Design, develop, and deploy machine learning models for real-world applications. - Implement and optimize end-to-end ML pipelines using PySpark and MLflow. - Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries. - Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch. - Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT, Hugging Face Transformers, etc. - Collaborate with cross-functional teams including data engineers, product managers, and software developers. - Monitor model performance and continuously improve model accuracy and reliability. - Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills: - Strong programming experience in Python. - Solid understanding of machine learning algorithms, model development, and evaluation techniques. - Experience with PySpark for large-scale data processing. - Proficient with MLflow for tracking experiments and model lifecycle management. - Hands-on experience with Pandas, NumPy, and Scikit-learn. - Familiarity or hands-on experience with Large Language Models (LLMs). - Understanding of MLOps principles and deployment best practices. Preferred Qualifications: - Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or a related field. - Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. - Strong analytical and problem-solving abilities. - Excellent communication and teamwork skills. If you are a highly motivated individual with 6-8 years of experience in Machine Learning and are looking to work onsite at either Pune or Indore office with an immediate joiner notice period of 15 days, we invite you to join our team at Optimum Data Analytics. Let's change how AI/ML is approached in the service sector and deliver outcomes that matter together.,

You are a Data Scientist with a strong expertise in data analysis, machine learning, and visualization. Your proficiency lies in Python, Pandas, and Matplotlib, and you excel at building and optimizing data-driven models. If you have some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models, it would be considered a plus. Your responsibilities include analyzing and processing large datasets using Python and Pandas, developing and optimizing machine learning models for predictive analytics, creating data visualizations using Matplotlib and Seaborn to support decision-making, performing data cleaning, feature engineering, and statistical analysis, working with structured and unstructured data to extract meaningful insights, and implementing and fine-tuning NER models for specific use cases, if required. You will collaborate with cross-functional teams to drive data-driven solutions. To excel in this role, you should have proficiency in Python and data science libraries such as Pandas, NumPy, and Scikit-learn. Experience in data analysis, statistical modeling, and machine learning is essential. Hands-on expertise in data visualization using Matplotlib and Seaborn, along with an understanding of SQL and database querying, is required. Familiarity with NLP techniques and NER models will be an added advantage. Strong problem-solving and analytical skills are essential to succeed in this position.,

You should have hands-on experience working with Marketing Domain datasets and at least 2 years of applicable work experience in Machine Learning. With 5+ years of hands-on experience in Snowflake and 2+ years of experience on Generative AI projects, you should also possess proficiency with the Python Machine Learning stack, including Pandas, and knowledge of experimental design and analysis of results. Demonstrating experience in applying Machine Learning, both Deep Learning (PyTorch) and Classical ML (Scikit-Learn), is essential. Furthermore, you should have experience in leading Machine Learning teams to deploy and enhance ML features in production and collaborating in cross-functional teams to deliver ML solutions at scale. Familiarity with Large Language Models, particularly in interactive dialog systems and chatbots, as well as experience deploying NLP systems like Information Retrieval (IR) and Recommender Systems (RecSys) are crucial. Preferred qualifications include proficiency in SQL and experience with big data technologies such as Hive, Presto, Glue, (Py)Spark, or Athena. Advanced software engineering skills, including data structures and algorithms, are desired. Experience in data pipelines and model serving in AWS, as well as MLOps on AWS at scale, is an advantage. Familiarity with AWS Cloud Formation templates, Agile and SCRUM methodologies, and working with PowerBI to develop dashboards are considered positives. Additionally, analytical skills related to unstructured datasets, a successful track record of extracting value from large, disconnected datasets, and experience working with agile, globally distributed teams are beneficial.,

As a Junior Data Scientist, you will be involved in a diverse range of data-driven projects, supporting data analysis, data modeling, and algorithm development. Your role will entail collaborating with senior team members and stakeholders to provide insights that drive business decisions. Your key responsibilities will include collecting, cleaning, and preprocessing data from multiple sources. You should possess the ability to work autonomously and shoulder responsibilities effectively. Additionally, you will contribute to the creation and deployment of statistical models and machine learning algorithms. Conducting exploratory data analysis to uncover patterns and trends will be a vital part of your work. Collaboration with cross-functional teams to grasp business needs and transform them into data-centric solutions is essential. You will also be tasked with developing data visualizations and dashboards to convey insights to stakeholders, along with participating in code reviews and upholding data science best practices. To qualify for this role, you should hold a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A minimum of 3 years" experience in data science, data analysis, or a related field is required. Proficiency in programming languages like Python is necessary, along with familiarity with data analysis libraries (e.g., pandas, NumPy) and machine learning frameworks (e.g., scikit-learn, Deep learning). Knowledge of LLMs and GenAI models is preferred. Experience with data visualization tools such as Matplotlib and Seaborn, an understanding of basic statistical methods, and data modeling techniques are also expected. Excellent communication skills and the ability to collaborate effectively in team settings and with clients are essential traits for this role.,

You will be responsible for building and maintaining robust machine learning pipelines in a cloud-based environment, ensuring efficient model deployment, monitoring, and lifecycle management. Your expertise in MLOps, specifically with Google Cloud Platform (GCP) and Vertex AI, will be essential. You should have a deep understanding of model performance drift detection and GPU accelerators. Your main tasks will include building and maintaining scalable MLOps pipelines in GCP Vertex AI for end-to-end machine learning workflows, managing the full MLOps lifecycle from data preprocessing to model monitoring and drift detection. Real-time model monitoring and drift detection will be crucial to ensure optimal model performance over time. You will be responsible for building and executing CICD containerization and orchestration tools, with hands-on experience in Jenkins, GitHub Pipelines, Docker, Kubernetes, and OpenShift. Optimizing model training and inference processes using GPU accelerators and CUDA will also be part of your role. Collaborating with cross-functional teams to automate and streamline machine learning model deployment and monitoring will be essential. Utilizing Python 3.10 with libraries such as pandas, NumPy, and TensorFlow for data processing and model development is required. Setting up infrastructure for continuous training, testing, and deployment of machine learning models while ensuring scalability, security, and high availability in all machine learning operations by implementing best practices in MLOps will be key to success. Preferred Candidate's Profile: - Experience: 8.5-12 Years (Lead Role: 12 Years+) - Experience in MLOps, building ML pipelines, and experience in GCP Vertex AI - Deep understanding of the MLOps lifecycle and automation of ML workflows - Proficiency in Python 3.10 and related libraries such as pandas, NumPy, and TensorFlow - Strong experience in GPU accelerators and CUDA for model training and optimization - Proven experience in model monitoring, drift detection, and maintaining model accuracy over time - Familiarity with CICD pipelines, Docker, Kubernetes, and cloud infrastructure - Strong problem-solving skills with the ability to work in a fast-paced environment - Experience with tools like Evidently AI for model monitoring and drift detection - Knowledge of data versioning and model version control techniques - Familiarity with TensorFlow Extended (TFX) or other ML workflow orchestration frameworks - Excellent communication and collaboration skills with the ability to work cross-functionally across teams (Note: The above job description is a summary of the responsibilities and requirements for this position. It is not exhaustive and may be subject to change based on the needs of the organization.),

You will be responsible for gathering data from different departments and putting it in a format that is easy to read. You will analyze the data based on the provided briefing and align it with the goals of the analysis. It is crucial to present the data to the management in a language that they understand. Additionally, you will be preparing monthly reports on sales, inventory, market share, etc. To excel in this role, you must have a strong proficiency in Microsoft Excel, including a good understanding of Macros and other tools. Handling multiple projects simultaneously and using various data handling tools efficiently is essential. You should be comfortable working with large datasets and have the ability to clean data, especially when it is in multiple formats. Experience in live projects lasting at least one year is preferred. Familiarity with Tableau, Power BI, and machine learning libraries like Pandas will be advantageous. In this position, you will be expected to develop mini dashboards for management as per their specific requirements. Having a clear understanding of what the final output should look like and the ability to interpret and correct Excel sheets prepared by other team members are crucial skills. You should also be adept at identifying errors in Excel sheets and rectifying them effectively.,

As a Data Scientist at GlobalLogic, you will be responsible for working as a Full-stack AI Engineer. You must have proficiency in programming languages like Python, Java/Scala, and experience with data processing libraries such as Pandas, NumPy, and Scikit-learn. Additionally, you should be proficient in distributed computing platforms like Apache Spark (PySpark, Scala), and Torch. It is essential to have expertise in API development using Fast API, Spring Boot, and a good understanding of O&M - logging, monitoring, fault management, security, etc. Furthermore, it would be beneficial to have hands-on experience with deployment and orchestration tools like Docker, Kubernetes, Helm. Experience with cloud platforms such as AWS (Sagemaker/ Bedrock), GCP, or Azure is also advantageous. Strong programming skills in TensorFlow, PyTorch, or similar ML frameworks for training and deployment are considered good-to-have qualities for this role. At GlobalLogic, we prioritize a culture of caring, where you will experience an inclusive environment of acceptance and belonging. Continuous learning and development opportunities are provided to help you grow personally and professionally. You will have the chance to work on interesting and meaningful projects that make an impact for clients worldwide. We believe in the importance of work-life balance and flexibility, offering various career areas, roles, and work arrangements to help you achieve the perfect balance. As a high-trust organization, integrity is key, and you can trust GlobalLogic to provide a safe, reliable, and ethical work environment. By joining us, you become part of a team that values truthfulness, candor, and integrity in everything we do. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for collaborating with some of the world's largest and most innovative companies. Since 2000, we have been at the forefront of the digital revolution, creating innovative digital products and experiences. Join us in transforming businesses and redefining industries through intelligent products, platforms, and services.,

Arrk Group India is a technology company with over 23 years of industry experience, specializing in developing scalable platforms to meet the needs of customers and enabling organizations to implement disruptive technologies for business transformation. The focus is on helping both public and private sector customers globally transition to digital environments. As a Senior AI Engineer at Arrk Group India, you will be responsible for AI Engineering System Architecture and Development. This includes understanding generative AI, large language models, and other foundation models for various business applications. You should possess demonstrable knowledge and practical experience in using models programmatically via APIs and have a strong understanding of AI engineering solutions architectures such as RAG. Your practical AI skills should include evaluating models for specific use cases, knowledge of databases like SQL, Postgres, and vector databases like pgvector and ChromaDB. You will explore, analyze, and visualize data at scale to identify differences in data distribution that could impact model performance. Additionally, you will need to verify data quality, clean data, establish ground truth, synthesize data, and organize data for fine-tuning. Proficiency in deploying large language models to production, training models, tuning hyperparameters, and selecting hardware for running ML models with the required latency is essential. You should also be able to analyze machine learning algorithms for problem-solving and rank them based on success probability. Knowledge of OpenCV and familiarity with deep learning frameworks like TensorFlow, PyTorch, or similar is desired, along with experience in AWS Cloud and Sagemaker. In addition to technical skills, you should be comfortable with rapid prototyping, possess strong problem-solving and analytical skills, and have familiarity with version control systems like Git. Proficiency in Python and basic ML libraries, understanding of NLP frameworks such as Spacy, and familiarity with REST APIs are necessary. Knowledge of crawling frameworks like Scrapy, Linux OS, and excellent communication skills are also required. If you meet the specified criteria and are interested in joining a dynamic team working on cutting-edge AI solutions, please share your updated CV to kajal.uklekar@arrkgroup.com. We are looking forward to connecting with talented AI professionals who can contribute to our innovative projects. Thank you, Kajal Uklekar Senior Talent Manager,

The Technical Lead for AI/ML plays a critical role in driving the technical direction and execution of artificial intelligence and machine learning projects within the organization. This position combines strong technical expertise in AI/ML with leadership skills to guide a team of engineers and data scientists in developing innovative AI/ML solutions. You will collaborate closely with cross-functional teams to translate business requirements into technical designs and drive the successful implementation, testing and deployment of AI/ML models and systems. Responsibilities 1. AI/ML Model Training and Development Lead the development of new AI Models from scratch and fine-tuning existing base models with new data. Implement and execute model evaluation experiments to test and pick the best model for a certain task. Build high throughput and automated data pipelines to allow Data analysis and model training. Lead feature engineering to select the most relevant features in datasets to train models on. Pick the right set of evaluation metrics to test model candidates for deployment. Use MLOps principles to allow continuous model tuning and performance improvements. 2. AI/ML Model Deployment Lead the deployment of AI/ML models into production environments, ensuring scalability, reliability, and performance. Implement best practices for model versioning, monitoring, and maintenance to ensure ongoing model accuracy and effectiveness. Collaborate with DevOps and infrastructure teams to integrate AI/ML components into CI/CD pipelines and automated deployment processes. Implement CI/CD practices for AI/ML development, including automated testing, code review processes, and continuous integration pipelines. Automate deployment processes for AI/ML models using tools such as Jenkins, GitLab CI/CD, or similar platforms. 3. Technology Expertise Demonstrate deep expertise in AI/ML technologies, including TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic. Stay current with advancements in AI/ML research and technologies, evaluating their applicability to the organization's needs and projects. 4. Architecture and Design Design and implement architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems. Collaborate with data engineers to ensure the availability, quality, and reliability of data sources for AI/ML model training and deployment. 5. Python Development Utilize Python programming for AI/ML model development, automation scripts, and development of supporting tools and utilities. Collaborate with software engineering teams to integrate AI/ML capabilities into software applications and services. Requirements Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field. Extensive experience (5+ years) in AI/ML development, with a focus on deploying models into production environments. Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic. Experience building architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems. Hands-on experience with CI/CD practices and tools, with a strong understanding of software development lifecycle processes. Proficiency in Python programming and experience with relevant libraries and frameworks for AI/ML development. Experience of Python Pandas and similar languages is a must. Worked on pre-processing pipelines ensuring security compliances standards are met. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. Strong problem-solving abilities and a passion for innovation and continuous improvement in AI/ML deployment practices.,

You are an experienced professional with over 13 years of total experience, specializing in machine learning. You have a proven track record of delivering impactful solutions in Natural Language Processing (NLP), machine vision, and Artificial Intelligence (AI). Your proficiency includes programming languages like Python or R, as well as experience with data manipulation libraries such as Pandas and NumPy. You possess a strong understanding of statistical concepts and techniques, applying them effectively to real-world problems. Your expertise extends to deep learning frameworks like TensorFlow, PyTorch, or JAX, along with machine learning libraries like scikit-learn. You have proficient experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG), applying them to real-world scenarios. Additionally, you have exposure to graph-based models, knowledge graphs, and related query languages. In your role, you demonstrate hands-on skills in data engineering and building robust ML pipelines. You are experienced in working with personalization engines and integrating digital marketing platforms. Your responsibilities include architecting scalable, cloud-based AI/ML solutions on platforms like AWS, Azure, or GCP, integrating data pipelines and AI services. You possess excellent communication skills and collaborate effectively with cross-functional teams. Your daily tasks involve writing and reviewing high-quality code, understanding clients" business use cases and technical requirements, and translating them into elegant technical designs. You are adept at identifying different solutions and selecting the best option that aligns with clients" needs. Defining guidelines and benchmarks for non-functional requirements (NFRs) during project implementation is also part of your responsibilities. Moreover, you write and review design documents, explaining the overall architecture, framework, and high-level design of applications for developers. You review architecture and design aspects like extensibility, scalability, security, design patterns, user experience, and NFRs, ensuring adherence to best practices. You develop the overall solution for defined functional and non-functional requirements, defining technologies, patterns, and frameworks to bring it to fruition. Your qualifications include a Bachelor's or Master's degree in computer science, Information Technology, or a related field.,

The Content and Data Analytics team at Elsevier is an integral part of Global Operations, delivering data analysis services using Databricks to product owners and data scientists. As a Senior Data Analyst, you will work independently to provide advanced insights and recommendations, leading analytics efforts with high complexity. Your responsibilities will include supporting data scientists within the Research Data Platform, performing various analytical activities such as diving into large datasets, data preparation, and evaluating data science algorithms. A keen eye for detail, strong analytical skills, and expertise in data analysis systems are essential, along with curiosity and dedication to high-quality work in the scientific research domain. Requirements for this role include a minimum of 5 years of work experience, coding skills in Python and SQL, familiarity with string manipulation functions like regular expressions, and experience with data analysis tools such as Pandas or Apache Spark/Databricks. Knowledge of basic statistics, visualization tools like Tableau/Power BI, and Agile tools like JIRA are advantageous. You will be expected to build and maintain relationships with stakeholders, present achievements and project updates effectively, and collaborate well within a team. Taking initiative, driving for results, and demonstrating strong stakeholder management skills are key competencies for success in this role. In addition to work-life balance initiatives, Elsevier offers comprehensive health insurance, flexible working arrangements, employee assistance programs, and various leave options. Your well-being and happiness are prioritized, with benefits including group life insurance, modern family support, and subsidized meals. Join us at Elsevier, a global leader in information and analytics supporting science, research, and healthcare. Your work will contribute to addressing global challenges and promoting a sustainable future through innovative technologies and partnerships. We are committed to fair and accessible hiring practices, ensuring a safe and inclusive workplace for all candidates.,

As an AI Engineer/Data Scientist - Intern at INNOFarms.AI, you will be part of a mission to redefine agriculture through AI-powered smart farming solutions. Your role will involve collecting, cleaning, and organizing market, trend, and crop-related data from online sources. You will help develop scoring logic for crop demand, sustainability, and financial viability and validate and preprocess image datasets for crop trait prediction. Building scripts to automate data preparation for machine learning pipelines and exploring datasets with EDA to find patterns, trends, and anomalies will also be part of your responsibilities. You will assist in building Computer vision ML models using structured and image data and work closely with the engineering team to test workflows and maintain clean datasets. Documenting workflows, learnings, and suggesting improvements, as well as staying updated on trends in agri-tech, AI, and sustainability are key aspects of this role. To excel in this role, you should have Python skills and be comfortable with libraries like Pandas, NumPy, and basic OpenCV. Data handling, EDA familiarity, ML basics, image handling, APIs & automation, attention to detail, problem-solving skills, curiosity, proactiveness, and teamwork are qualities that we are looking for in candidates. Bonus points will be given for experience with cloud platforms, familiarity with annotation/image labeling tools, basic SQL skills, experience using Google Trends, YouTube Data API, or similar tools, and interest in agri-tech, sustainability, or controlled-environment farming. At INNOFarms.AI, you will receive mentorship from experienced engineers, work on real-world projects with industry-standard tools, and have the opportunity to work on cutting-edge AI and robotics-driven farming solutions. You will gain exposure to complete product development life cycles, real-world AgTech deployments, and a flexible work environment with potential for future full-time opportunities. Our fast-paced, dynamic, and growth-oriented environment fosters a collaborative and innovative work culture with a substantial impact on Climate Change, sustainability, and global food security. If you are interested in this opportunity, please submit your resume, cover letter, and any relevant project portfolios to careers@INNOFarms.AI. We are an equal-opportunity employer, celebrating diversity and committed to creating an inclusive environment for all employees.,

As a member of our team, you will collaborate with cross-functional teams to build microservices or AI/ML-powered features and tools. Your primary focus will be on working with backend systems, APIs, or data pipelines that support AI workflows. This will involve designing REST APIs, database structures, and utilizing backend frameworks such as Node.js, FastAPI, or Spring Boot. You will be responsible for implementing efficient algorithms, participating in code reviews, and taking ownership of mini-projects under mentor guidance to deliver value. We are looking for students pursuing B.Tech/M.Tech/BSc/MSc (CS/IT/AI/DS/Math) or equivalent from top engineering colleges. You should have a solid understanding of Data Structures, Algorithms, and problem-solving skills. Exposure to AI/ML concepts like supervised learning, regression, classification, etc., is desirable. An active GitHub profile with code samples or open-source contributions is a plus. A passion for technology and using code to solve real-life problems is highly valued. Experience with Python, NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is advantageous. Additionally, exposure to coding contests, Kaggle, Google Summer of Code, or similar communities is beneficial. In this role, you may work with a variety of technologies including languages like Python, Java, JavaScript, and TypeScript. You will have the opportunity to engage with libraries/frameworks such as TensorFlow, PyTorch, FastAPI, Flask, and Next.js. Familiarity with tools like GitHub, VS Code, Jupyter, Postman, and Docker will be essential. Working with databases like PostgreSQL and MongoDB will also be part of your responsibilities. Moreover, you may encounter other technologies such as REST APIs, LLMs, Prompt Engineering, LangChain, and Hugging Face in your day-to-day tasks. If you are enthusiastic about technology, enjoy problem-solving, and are eager to contribute to impactful projects, we would love to have you join our team.,

The role of S&C Global Network - AI - Marketing Analytics (MMM) Consultant at Accenture involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. As part of the Analytics practice, you will collaborate with a global network of colleagues skilled in leading statistical tools and applications. From data analysis to actionable insights, you will provide issue-based recommendations to help clients achieve high performance. Accenture is committed to investing in your learning and growth, supporting you in expanding your tech stack and certifications. In Applied Intelligence, you will execute projects in the context of business performance improvement initiatives, emphasizing sound analytical decision-making. Responsibilities include providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. The ideal candidate will have relevant experience in the domain, strong analytical and problem-solving skills, and the ability to thrive in a dynamic environment. In this role, you will be responsible for defining data requirements, cleaning and analyzing data, and developing AI/ML models. You should have at least 3 years of experience in Market Mix Modeling, proficiency in Statistical and Probabilistic methods, and hands-on experience with Python data science libraries. Additionally, you will work on developing and managing data pipelines, leveraging machine learning architectures, and deploying marketing mix models on cloud platforms. The desired candidate should have knowledge of SQL and cloud-based technologies, expertise in Market mix modeling techniques, and experience in data migration from cloud to Snowflake. Understanding of econometric/statistical modeling, machine learning algorithms, and proficiency in tools such as Excel, MS Word, and PowerPoint are essential requirements. This role offers the opportunity to work on innovative projects, grow your career, and gain leadership exposure. If you have 8 to 10 years of experience and a B.Com educational qualification, and if you possess the mentioned skills and expertise, we are looking for you to join our team at Accenture.,

You are a strategic thinker passionate about driving solutions in process optimization and automation. You have found the right team. As an analytics associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. As a key driver in our critical team, you will play a vital role in conducting process analysis and improvements. Your work will involve customizing and implementing innovative automation capabilities to create cost-effective solutions that enhance execution speed, strengthen controls, and maximize return on investment. You will be instrumental in ensuring that our processes are efficient and effective, ultimately contributing to the success of our organization. Partner with relevant stakeholders to understand process related manual touchpoints, design future state, develop, test, and deploy. Manage & 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. Required qualifications, capabilities, and skills: - 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), Pega (CSSA) and Databricks. - Advanced hands-on experience - Tableau, QlikView, Qlik sense & SharePoint. - 5+ years experience in technology development, strong problem-solving abilities, project management, roadblock management & solutioning. - 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: - Project Management Certification. - Demonstrate innovation with the ability to translate concepts into visuals. - Technical Designer / Solution Architect.,

As a Machine Learning Engineer (MLE) at Capco in Pune, with over 8 years of experience, you will be working in an inclusive environment that values diversity and individuality. Capco is a global technology and business consultancy specializing in the financial services sector, dedicated to helping clients succeed in an ever-evolving industry. Your key responsibilities will include having a strong understanding of LLM architectures, fine-tuning pre-trained models on domain-specific data, and working with concepts such as RAG, Prompt Engineering, and Vector DBs. You should also possess expertise in containerization and orchestration technologies like Kubernetes and Docker, along with in-depth knowledge of machine learning, deep learning, and NLP. Additionally, you will be managing prioritization and technology work for building NLP, ML & AI solutions, experimenting with LLM, and ensuring best practices for ML models integration and deployment. To excel in this role, you should have at least 8-10 years of experience in deploying end-to-end data science solutions, a strong technical background from a top-tier institute, and proficiency in training and fine-tuning LLMs using frameworks like TensorFlow, PyTorch, or Hugging Face Transformer. Skills in Python, SQL, Pandas, Pyspark, GitHub, Confluence, JIRA, and cloud platforms like Azure or GCP are essential. Moreover, experience in stakeholder management, communication, and presentation skills are required to effectively present technical solutions and features in business terms. At Capco, you will have the opportunity to work on projects that will revolutionize the financial services industry, along with a work culture focused on innovation, ongoing learning opportunities, a flat non-hierarchical structure, and competitive family-friendly benefits. If you are excited about advancing your career with Capco, we encourage you to apply and join us in creating lasting value for clients and employees. For more information about Capco and its people, please visit www.capco.com.,

Are you passionate about data and enjoy problem-solving in elegant ways Do you thrive on using cutting-edge technology to develop innovative solutions Join our team as a hands-on data engineer where you will be responsible for developing innovative solutions for managing sensitive information, participating in the analysis of business problems, contributing to the design process for new solutions, and experiencing the day-to-day reality of data management. You will be a part of the Enterprise Data Mesh team in Hyderabad, a global team that provides innovative solutions for managing sensitive data. Collaborating with technology experts across UBS Technology, you will work on a diverse range of solutions from data analysis and transformation to AI-based data generation. The team is international, with a presence in three continents. To be successful in this role, you should have at least 6 years of experience in developing data management applications using Python and its data engineering frameworks. You should have a keen interest in utilizing state-of-the-art technologies such as Pandas, Spark, Kafka, and Azure to develop innovative solutions. Proficiency in application, data, and infrastructure architecture disciplines, as well as experience working in delivery-oriented agile teams, is essential. Strong command of Python, hands-on experience with Pandas, SQL, and Spark are required. Desired qualifications include exposure to cloud development with Azure and/or AWS, experience with databases (relational and others), designing RESTful APIs and/or Kafka clients, building modern solutions like Kafka data streaming and Azure cloud-native, and a background in Financial Services (advantageous but not mandatory). Experience with Machine Learning and Artificial Intelligence is a plus. As a candidate, you should be willing to take full ownership of problems and code, capable of delivering great solutions with a proactive approach to problem-solving. Effective communication skills, both technical and non-technical, are vital for this role. UBS is the world's largest and the only truly global wealth manager, operating through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management, and the Investment Bank. With a presence in major financial centers in over 50 countries, UBS offers a diverse and inclusive work environment where employees are empowered to drive success together. If you are dedicated to your craft, value collaboration, and seek new challenges and growth opportunities in a supportive team environment with flexible working options, consider joining UBS. Our inclusive culture celebrates diversity and fosters an environment where every individual's skills, experiences, and backgrounds contribute to our ongoing success. UBS is an Equal Opportunity Employer committed to diversity and inclusion, empowering each individual and fostering a workforce that values diverse cultures, perspectives, skills, and experiences. If you require reasonable accommodations during the recruitment process, please feel free to contact us.,

As a Data Science Engineer Intern at V-Patrol AI, a dynamic and forward-thinking cybersecurity organization, you will play a crucial role in developing and implementing cutting-edge machine learning and deep learning models. Your primary focus will be on creating scalable data pipelines and generating valuable insights in real-time to counter cyber threats effectively. Your responsibilities will include designing and executing machine learning and deep learning models tailored for cybersecurity applications. Additionally, you will be involved in constructing and overseeing data pipelines for both structured and unstructured data sources such as network logs and threat feeds. Integrating APIs for model deployment and ensuring seamless real-time data flow will also be a key aspect of your role. Collaboration with software engineers, analysts, and stakeholders to support data-informed decision-making processes is essential. Monitoring model performance and optimizing them for production environments will be part of your routine tasks. Furthermore, you will be responsible for conveying your findings through informative dashboards, reports, and visualizations. To excel in this role, you should hold a Bachelor's or Master's degree in data science, computer science, statistics, or a related field. Proficiency in Python, pandas, scikit-learn, and TensorFlow/PyTorch is necessary. Hands-on experience with REST APIs, Fast API/Flask, and data preprocessing techniques is crucial. Familiarity with various ML/DL models like XGBoost, LSTMs, and Transformers is expected. Exposure to cloud platforms such as AWS/GCP, ETL tools, Docker/Kubernetes, etc., would be advantageous. While not mandatory, prior experience in cybersecurity, particularly in areas like threat detection and incident response, would be beneficial. In addition to the required skills and experience, expertise in adversarial machine learning and natural language processing (NLP) will be considered a significant advantage. Having a GitHub profile or a portfolio showcasing real-world projects in data science or cybersecurity will be a strong preference. This position is an internship opportunity that requires your presence at the designated work location.,

As a Deep Learning and Computer Vision Engineer at Sciverse Solutions Pvt. Ltd., you will be an integral part of the core AI team responsible for designing, training, and deploying models for various applications in the field of microscopy image analysis, diagnostic automation, and embedded vision systems. Your contribution will also involve exploring vision-language models (VLMs) to enhance structured report generation capabilities. Your primary responsibilities will include developing and training deep learning models for tasks such as object detection, segmentation, classification, and metric learning using real-world biomedical and diagnostic datasets. You will work on optimizing models for embedded and edge inference, collaborating with firmware and software teams for seamless deployment, and building scalable vision pipelines for tasks like cell counting and morphology estimation. Additionally, you will have the opportunity to experiment with transformer-based models and VLMs for microscopy captioning and report generation. Collaboration with cross-functional teams, staying updated with the latest advancements in vision and multimodal AI, and possessing a strong foundation in deep learning are essential for success in this role. Must-have skills for this position include a strong understanding of deep learning concepts, experience with image classification and segmentation, proficiency in PyTorch and optionally TensorFlow, and hands-on experience with model deployment and optimization tools. Strong debugging and visualization skills, familiarity with medical imaging formats, and exposure to MLOps tools are considered advantageous. The ideal candidate for this role is a self-starter with a strong sense of ownership, passionate about leveraging AI to solve real-world healthcare challenges, and thrives in an agile, research-to-product environment. By joining Sciverse, you will have the opportunity to work on mission-driven healthcare technology, solve unique AI and vision challenges, and be part of a fast-growing, engineering-driven team. If you are excited about making a meaningful impact in the healthcare industry through cutting-edge technology, we encourage you to apply by emailing your CV, portfolio (if any), and a brief statement outlining your enthusiasm for this role to info@sciverse.co.in.,

Spherex is seeking an Artificial Intelligence (AI) Machine Learning (ML) Engineer to contribute to the development, enhancement, and expansion of our product platform catering to the Media and Entertainment sector. As the AI/ML Engineer, your duties will involve the creation of machine learning models and system retraining. The position is based in Navi Mumbai, India. The ideal candidate should hold a degree in computer science or software development. Proficiency in .Net, Azure, Project management, Team and Client management is essential. Additionally, familiarity with Python, Tensorflow, Pytorch, MySQL, Artificial Intelligence, and Machine Learning is desired. Key requirements for this role include expertise in Python with OOPS concepts, a solid foundation in Natural Language Understanding, Machine Learning, and Artificial Intelligence. Knowledge of ML/DL libraries such as Numpy, Pandas, Tensorflow, Pytorch, Keras, scikit-learn, Jupyter, and spaCy/NLTK is crucial. Hands-on experience with MySQL and NoSQL databases, along with proficiency in scraping tools like BeautifulSoup and Scrapy, is also required. The successful candidate should have experience in web development frameworks like Django and Flask, as well as working with RESTful APIs using Django. Familiarity with end-to-end data science pipelines, strong unit testing and debugging abilities, and applied statistical skills are necessary. Proficiency in Git, Linux OS, ML architectures, and approaches including object detection, semantic segmentation, classification, regression, RNNs, and data fusion is expected. Knowledge of OpenCV, OCR, Yolo, Docker, Kubernetes, ETLPentaho is considered a plus. Candidates must possess a minimum of 4+ years of experience in advanced AI/ML projects within commercial environments. Experience in utilizing AI/ML for video and audio content analysis is advantageous. Education-wise, a college degree in computer science or software development is required, along with excellent documentation and effective communication skills in both technical and non-technical contexts.,

You have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. Executes creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Develops secure high-quality production code, reviews, and debugs code written by others. Identifies opportunities to eliminate or automate remediation of recurring issues to improve the overall operational stability of software applications and systems. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture. Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies. Adds to the team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills: - Formal training or certification on Software engineering concepts and 5+ years applied experience. - Hands-on practical experience delivering system design, application development, testing, and operational stability. - Strong object-oriented programming and concurrency skills. - Proficient in Python frameworks like Flask or Django and experience in building, deploying, and supporting restful web API integrations. - Hands-on experience with a relational database such as PostgreSQL or any similar RDBMS solution with in-depth knowledge of queries, joins, and basic SQL optimization and data persistence concepts. - Hands-on experience on cloud infrastructure such as AWS or Kubernetes. - Strong interest in AI/ML with hands-on knowledge of libraries like pandas, numpy, etc. - Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. - Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). - In-depth knowledge of the financial services industry and their IT systems. - Practical cloud-native experience.,

As an AI/ML Engineer in Gurugram with 5+ years of experience, your role will involve designing and implementing end-to-end machine learning solutions in various domains such as predictive analytics, anomaly detection, computer vision, and natural language processing. You will be responsible for employing advanced methodologies like Deep Learning (CNNs, RNNs), Reinforcement Learning, and Generative Models (GANs) to optimize model performance through hyperparameter tuning techniques. Your expertise will be crucial in developing scalable ETL pipelines using Pandas, NumPy, and PySpark for processing large-scale and streaming data from sources like satellite imagery and IoT devices. Additionally, you will integrate structured and unstructured data from APIs, databases, and big data platforms to ensure model-ready datasets through data preprocessing activities. Staying updated with state-of-the-art ML techniques such as Transfer Learning, Transformer models, and AutoML will be essential for algorithm research. You will also innovate and adapt algorithms for specialized domains like geospatial analysis, environmental modeling, and cybersecurity. Rapid prototyping and experimentation to validate innovative approaches will be part of your responsibilities. In terms of deployment and performance monitoring, you will deploy ML models using Docker and Kubernetes in cloud environments like AWS, GCP, and Azure. Setting up CI/CD pipelines for model updates, versioning, and implementing monitoring systems using Prometheus and Grafana for performance tracking are key aspects of your role. Collaborating closely with data engineers, developers, domain experts, and product teams to integrate AI solutions into business products will be crucial. Leading and mentoring junior team members, enforcing coding standards, and promoting knowledge sharing through documentation and code reviews will also be expected from you. Your tech stack should include Python (FastAPI, Django) for backend, PyTorch, Hugging Face Transformers, scikit-learn for AI/ML, Apache Kafka, Spark, NiFi for Data Engineering, and PostgreSQL with TimescaleDB for databases. In addition, familiarity with DevOps tools like Docker, Kubernetes, GitLab CI/CD, Prometheus, Grafana, and Media Processing tools like OpenCV, FFmpeg, Tesseract OCR, Wav2Vec2 is required. For this role, you should have 5+ years of experience in ML/AI, strong Python skills, proficiency in PyTorch, TensorFlow, scikit-learn, experience with Hugging Face Transformers, expertise in Pandas, NumPy, PySpark, and familiarity with big data platforms. Hands-on experience with Docker, Kubernetes, CI/CD practices, cloud platforms, and model serving frameworks is essential. A solid understanding of evaluation metrics, model tuning, and inference efficiency is also required. Soft skills such as excellent analytical and problem-solving capabilities, strong communication and interpersonal skills, experience in mentoring, and working in agile, cross-functional teams are highly valued. Being self-driven, curious, and able to work in a fast-paced environment will be beneficial. A Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related fields from a reputed institution is preferred for this role.,

As an AI Solution Engineer at Droisys, you will be responsible for developing, deploying, and implementing advanced AI-enabled applications for our highly sophisticated systems, ensuring compliance with security standards and delivering innovative and efficient solutions within a secure environment. Self-discipline and a strong desire to build applications with high integrity are essential for success in this role. In this role, you will research and innovate by staying updated with the latest AI technologies, tools, and trends to continuously improve and innovate Droisys's data conversion processes. You will be required to maintain comprehensive documentation of AI solutions, methodologies, and deployment processes. Additionally, you will design and develop AI models to automate and enhance the core data conversion processes, working with large datasets while ensuring the integrity and security of sensitive information during the conversion process. Your responsibilities will also include developing and deploying AI solutions in accordance with security protocols, ensuring all processes meet compliance standards. Collaboration with cross-functional teams, including data scientists, software engineers, and business analysts, will be crucial to create integrated AI solutions. You will conduct rigorous testing and validation of AI models to ensure accuracy and reliability, as well as continuously monitor and optimize AI models for efficiency and performance improvements. To excel in this role, you will need proficiency in programming languages such as Python, JS/NodeJS, and .NET Framework/Core C#, along with familiarity with ML frameworks and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn. Experience in data manipulation and analysis using tools like Pandas or NumPy, as well as knowledge of deep learning concepts and architectures, will be valuable assets. Familiarity with software development methodologies, cloud-based services, system design, problem-solving skills, and collaboration with cross-functional teams are also essential requirements. Having 5-7+ years of technical implementation experience would be advantageous, and additional experience in the Financial Services Industry, relevant certifications in AI/ML or reporting tools like Splunk, SSRS, Cognos, and Power BI would be great to have for this role at Droisys.,

As a Senior Full Stack Developer - Python at Siemens Energy, you will play a crucial role in developing and enhancing application software. Your responsibilities will include designing technical architecture, conducting software tests, debugging code, creating a database design schema, writing technical and functional documentation, analyzing customer needs, selecting appropriate technical solutions, and staying updated with technological advancements. Your impact will be significant as you program and write codes, conduct unit tests based on functional requirements, perform peer code reviews to identify design and implementation gaps, support business improvement projects following agile principles like SCRUM, provide user support for applications in the production environment, and write SQL queries to meet business requirements. You will work in a flexible, cross-functional, team-based development environment. To excel in this role, you should have expertise in Python, Flask/Django, Pandas, FastAPI, Sync/Async programming, a solid understanding of OOPs concepts and design patterns, proficiency in at least one JavaScript framework (Angular 2+/ReactJS/ExtJS/Node JS/Vaadin), strong knowledge of HTML5, CSS, XML, OOA, OOD Concepts, experience with graph databases and data mesh concepts, familiarity with AWS Cloud Services (S3 bucket, AWS Lambda, SQS, ECS, API Gateway), and knowledge of code versioning tools like GIT, PyCharm, VSCode, and Postman. Additionally, you should have good knowledge of PostgreSQL database, experience with Snowflake Databases and PL/SQL queries, familiarity with basic Linux/Unix commands, and an understanding of high-quality professional software engineering practices for an agile software development cycle. Your ability to work in a fast-paced, Agile, release often environment, troubleshoot technology integration scenarios, and apply findings in complex troubleshooting scenarios will be essential. Docker and experience with CI/CD pipeline are considered good-to-have skills. At Siemens Energy, we are dedicated to developing the energy systems of the future to meet the global energy demand sustainably. Our diverse team is committed to pushing the boundaries of what is possible in sustainable, reliable, and affordable energy solutions. We value diversity and inclusion, celebrating the unique characteristics of each individual and fostering a culture of creativity and innovation. As part of the Siemens Energy team, you will automatically receive medical insurance coverage, and the company offers a considerable family floater cover for employees, spouses, and up to 2 dependent children up to 25 years of age. You will also have the option to opt for a Meal Card as part of the CTC, following the company policy terms and conditions. Join us at Siemens Energy and be a part of our legacy of innovation and commitment to decarbonization, new technologies, and energy transformation. Learn more about how you can contribute to our mission at Siemens Energy: https://www.siemens-energy.com/employeevideo Siemens Energy values diversity and inclusion, recognizing the power of our differences to drive creativity and innovation. We welcome individuals from all backgrounds, regardless of ethnicity, gender, age, religion, identity, or disability, to join our team and help energize society.,

This is a senior level position where you will be responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. Your main objective in this role will be to lead applications systems analysis and programming activities. In this role within the Market Risk department at Citi, you will be engaged in risk measurement using various methodologies and Risk Regulations. Your tasks will involve connecting to Centralized/FO Data providers to download all required data items for all the trades, proceeding with trade pricing, and risk calculation. Accuracy and performance are crucial to the success of these projects, and each project implementation needs to be optimal, performant, scalable, and with the best possible tech-stack to cater to the business needs. You will have regular interactions with Quants, Risk Analytics, Risk Manager, and FO IT teams. Collaboration with Quants to integrate their pricing libraries in tech solutions and perform various calculations will be essential. Daily pricing of trades, risk calculation, and reporting of all involved activities will be part of your responsibilities. Your responsibilities will include partnering with multiple management teams to ensure appropriate integration of functions, identifying and defining necessary system enhancements, resolving high impact problems/projects, providing expertise in areas of applications programming, and ensuring application design adheres to the overall architecture blueprint. You will also be required to develop comprehensive knowledge of how areas of business integrate to accomplish goals, provide in-depth analysis with interpretive thinking, and serve as an advisor or coach to mid-level developers and analysts. As a qualified candidate, you should be a highly experienced and skilled senior Python developer with data science understanding and 8-12 years of experience in software building and platform engineering. You should have extensive development expertise in building highly scaled and performant software platforms for data computation and processing, expert-level knowledge of core Python concepts and libraries, strong computer science fundamentals, and hands-on experience in writing SQL queries. Experience with Unix based operating systems, source code management tools, and banking domain like pricing and risk is a plus. Additionally, CFA/FRM certification is desirable. The ideal candidate will possess a Bachelors degree or equivalent experience, with a Masters degree being preferred. Strong analytical and logical skills, along with demonstrated leadership, project management skills, and clear communication abilities are essential for this role.,