2243 Numpy Jobs - Page 3

Gurugram, Haryana Work Type: Full Time ABOUT US: Paxcom a leading Digital Solution Provider is a part of Paymentus now, a leading electronic bill payment provider. PaymentUs leads the North American marketplace in electronic bill payment solutions and have recently signed a partnership with Paypal and Alexa. Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill presentment and payment services for more than 1300 clients leading the Utility, Telecom, Auto Finance, Insurance, Consumer Finance, and Health industries. Our comprehensive eBilling and Payment Platform allows our clients to provide a unified customer bill-pay experience that includes online, mobile, IVR, text, kiosk, and agent-assisted channels, as well as a full range of customer communication options. For more details, please visit www.paymentus.com Job Location: Gurugram Job Type: Permanent Interview process: Coding challenge >> Round 1 (Technical Webcam>> Managerial webcam round (Tech + Managerial) Join our team as an AI/ML Specialist and contribute to the delivery of cutting-edge capabilities by leveraging the latest technologies. In this role, you will collaborate closely with stakeholders and technical team members to drive impactful solutions. Requirements: Minimum of 4 years of relevant experience in Data Science, Machine Learning, and AI techniques, with a strong background in open source technologies. Exposure to Gen AI models such as Falcon, Llama 2, GPT 3.5 & 4, and Prompt Engineering. Experience in creating basic RAG pipelines. Familiarity with cloud services such as AWS (EC2, S3, ECR). Expertise in at least one of the following areas: Time Series Analysis, Standard Machine Learning Algorithms, or Deep Learning. Experience with statistical analysis, data mining, temporal and pattern analysis, correlation of events, predictive modeling, and pattern recognition for various use cases. Area of expertise: In-depth knowledge and hands-on experience with at least one object detection framework including TFOD, Detectron, and YOLO, operating within a large-scale distributed platform. Or, Solid understanding of Deep Learning fundamentals (CNN, RNN, attention/memory) and extensions (Transformer, LSTM, ResNet, etc.). Or, Knowledge of state-of-the-art ML algorithms such as BERT, ELMo, GPT, GPT-2, XLNET, T5, LSTMs, CRFs, etc., APIs, ONNX, and open-source methods. Strong experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting, and Linux environment. on-making and the ability to justify actions effectively. Why Join Us? Empowerment to focus on pivotal tasks. Embrace a flexible and laid-back work atmosphere. Prioritize work-life balance. Appreciate collaborating with a goal-driven team. Interact with an approachable, supportive, and accomplished management team. Competitive compensation package. Engage with cutting-edge technologies as they emerge in the market. Witness the direct impact of your code on the lives of millions of customer.

Senior Applied & Data scientist Hyderabad, Telangana, India Date posted Jun 16, 2025 Job number 1830452 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We’re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX’s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter—with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field 6+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn) Strong foundation in statistics, probability, and applied machine learning techniques Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end Responsibilities Design and develop data-driven models and algorithms to identify emerging attacker behavior, anomalies, and threat patterns at scale Build and operationalize statistical/ML systems that power early-stage detection, disruption scoring, and alert prioritization within DEX workflows Analyze high-dimensional security telemetry (e.g., token usage, entity relationships, campaign data) to derive signal enrichment and protection insights Collaborate closely with security researchers, threat hunters, and engineers to translate hypotheses into deployable detection logic Lead data investigations on false positives, missed threats, or campaign-level attack patterns to inform detection strategy and service improvement Contribute to the design of entity-based graph pipelines and verdict propagation mechanisms for pre-breach signal interpretation Drive experimentation and model explainability to ensure robustness, interpretability, and operational relevance of developed systems Communicate technical findings to cross-functional stakeholders and influence product and detection roadmap decisions Author internal whitepapers, prototypes, or publications to push the boundaries of applied data science in security Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

🤖 Job Opening: AI/ML Engineer – Fresher 📍 Location : Remote 🏢 Company : Appzime Technologies 💰 Salary : ₹25,000 – ₹30,000/month 🕒 Experience : 0–1 year (Fresher) 🧠 About the Role Are you passionate about Artificial Intelligence and Machine Learning? Do you dream in algorithms and live for model accuracy? At Appzime Technologies , we're inviting freshers to kickstart their career in AI/ML development and be a part of cutting-edge projects across multiple industries — from automation to predictive analytics. 🔬 Key Responsibilities Assist in developing and training ML models using Python and ML libraries (Scikit-learn, TensorFlow, PyTorch). Work on datasets — cleaning, preprocessing, feature extraction, and exploratory data analysis (EDA). Collaborate with data scientists and backend developers to integrate ML models into live systems. Contribute to AI-based automation, NLP tools, recommendation engines, and more. Stay updated with the latest in AI/ML research, tools, and best practices. ✅ Requirements B.Tech / BCA / MCA or equivalent in Computer Science, AI/ML, Data Science, or related field. Good understanding of ML algorithms (Linear Regression, Decision Trees, SVM, KNN, etc.). Hands-on experience in Python and libraries like NumPy , Pandas , Matplotlib , Scikit-learn . Familiar with deep learning concepts and frameworks (TensorFlow/Keras or PyTorch). Strong problem-solving attitude and a hunger to learn new tools. Bonus: Academic or personal ML projects, GitHub profile, or Kaggle participation. 🌟 Why Join Appzime? Opportunity to work on real-world AI/ML deployments from Day 1. Learn directly from experienced engineers and data scientists. Startup-style ownership, innovation, and fast learning curve. Expopsure to client work and cross-domain AI applications. Flexible work setup and access to premium AI tools & resources. 📧 Apply Now : careers@appzime.com Contact Person: https://www.linkedin.com/in/harshit2904/ Show more Show less

Job Title: Senior Machine Learning Engineer Location: On Site / [Gurgaon, India] Experience: 5+ Years Type: Full-time / Contract About the Role We are looking for an experienced Machine Learning Engineer with a strong background in building, deploying, and scaling ML models in production environments. You will work closely with Data Scientists, Engineers, and Product teams to translate business challenges into data-driven solutions and build robust, scalable ML pipelines. This is a hands-on role requiring a blend of applied machine learning, data engineering, and software development skills. Key Responsibilities Design, build, and deploy machine learning models to solve real-world business problems Work on the end-to-end ML lifecycle: data preprocessing, feature engineering, model selection, training, evaluation, deployment, and monitoring Collaborate with cross-functional teams to identify opportunities for machine learning across products and workflows Develop and optimize scalable data pipelines to support model development and inference Implement model retraining, versioning, and performance tracking in production Ensure models are interpretable, explainable, and aligned with fairness, ethics, and compliance standards Continuously evaluate new ML techniques and tools to improve accuracy and efficiency Document processes, experiments, and findings for reproducibility and team knowledge-sharing Requirements 5+ years of hands-on experience in machine learning, applied data science, or related roles Strong foundation in ML algorithms (regression, classification, clustering, NLP, time series, etc.) Experience with production-level ML deployment using tools like MLflow, Kubeflow, Airflow, FastAPI , or similar Proficiency in Python and libraries like scikit-learn, TensorFlow, PyTorch, XGBoost, pandas, NumPy Experience with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes) Strong understanding of software engineering principles and experience with Git, CI/CD, and version control Experience with large datasets, distributed systems (Spark/Databricks), and SQL/NoSQL databases Excellent problem-solving, communication, and collaboration skills Nice to Have Experience with LLMs, Generative AI , or transformer-based models Familiarity with MLOps best practices and infrastructure as code (e.g., Terraform) Experience working in regulated industries (e.g., finance, healthcare) Contributions to open-source projects or ML research papers Why Join Us Work on impactful problems with cutting-edge ML technologies Collaborate with a diverse, expert team across engineering, data, and product Flexible working hours and remote-first culture Opportunities for continuous learning, mentorship, and growth Show more Show less

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your Primary Responsibilities Include Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Preferred Education Master's Degree Required Technical And Professional Expertise Experience with Apache Spark (PySpark): In-depth knowledge of Spark’s architecture, core APIs, and PySpark for distributed data processing. Big Data Technologies: Familiarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Strong proficiency in Python: Expertise in Python programming with a focus on data processing and manipulation. Data Processing Frameworks: Knowledge of data processing libraries such as Pandas, NumPy. SQL Proficiency: Experience writing optimized SQL queries for large-scale data analysis and transformation. Cloud Platforms: Experience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred Technical And Professional Experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing Show more Show less

About the Role : We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Required Skills & Qualifications Experience : 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise : Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages : Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation : Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development : Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms : Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps : Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing : Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. What You'll Gain Be part of a forward-thinking team working on cutting-edge AI/ML technologies. Collaborate with a diverse, highly skilled team in a fast-paced environment. Opportunity to work on impactful projects with real-world applications. Competitive salary and career growth opportunities Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Schedule: Day shift Fixed shift Work Location: In person

Job Title: Data Analyst Trainee Location: Remote Job Type: Internship (Full-Time) Duration: 1–3 Months Stipend: ₹25,000/month Department: Data & Analytics Job Summary: We are seeking a motivated and analytical Data Analyst Trainee to join our remote analytics team. This internship is perfect for individuals eager to apply their data skills in real-world projects, generate insights, and support business decision-making through analysis, reporting, and visualization. Key Responsibilities: Collect, clean, and analyze large datasets from various sources Perform exploratory data analysis (EDA) and generate actionable insights Build interactive dashboards and reports using Excel, Power BI, or Tableau Write and optimize SQL queries for data extraction and manipulation Collaborate with cross-functional teams to understand data needs Document analytical methodologies, insights, and recommendations Qualifications: Bachelor’s degree (or final-year student) in Data Science, Statistics, Computer Science, Mathematics, or a related field Proficiency in Excel and SQL Working knowledge of Python (Pandas, NumPy, Matplotlib) or R Understanding of basic statistics and analytical methods Strong attention to detail and problem-solving ability Ability to work independently and communicate effectively in a remote setting Preferred Skills (Nice to Have): Experience with BI tools like Power BI, Tableau, or Google Data Studio Familiarity with cloud data platforms (e.g., BigQuery, AWS Redshift) Knowledge of data storytelling and KPI measurement Previous academic or personal projects in analytics What We Offer: Monthly stipend of ₹25,000 Fully remote internship Mentorship from experienced data analysts and domain experts Hands-on experience with real business data and live projects Certificate of Completion Opportunity for a full-time role based on performance Show more Show less

Job Description About CloudxLab CloudxLab is a team of developers, engineers, and educators passionate about building innovative products to make learning fun, engaging, and for life. We are a highly motivated team who build fresh and lasting learning experiences for our users. Powered by our innovation processes, we provide a gamified environment where learning is fun and constructive. From creative design to intuitive apps we create a seamless learning experience for our users. We upskill engineers in deep tech - make them employable & future-ready. CloudxLab is looking for Machine Learning Engineers who have good understanding of Machine Learning using Python. The primary responsibilities of a Machine learning Engineers at CloudxLab are going to be: Review the machine learning and big data projects submitted by the learners. Build the test case driven assessments for machine learning, deep learning, Spark and data analytics. Answer the queries of the learners When CloudxLab is launching the machine learning and big data projects, contribute to it. The Candidate Must Be Hands On With The Following Linux SQL Data Analysis using Numpy, Pandas and matplotlib Machine Learning with Scikit Learn Deep Learning with Tensor flow (1 or 2 either will do) Apache Spark As a part of the job application you will have to complete an online assessment test. Skills The assessment test checks for skills needed for the job and also requires you to submit a blog you have written and published online preferably on LinkedIn. The link to form is below: Link - https://forms.gle/55LbLnufpeK6kqgE8 Required Skills This is your progress in the required skills for this job. Sign in and improve your score by completing these topics and then apply for the job with a better profile. Sign in to know your progress » Apply Now » We suggest you to sign in, to check and improve your progress for the required skills before applying. Click here if you want to apply anyway. Show more Show less

About Gartner IT Step into a world where your creativity fuels innovation and your ideas drive transformation. At Gartner IT, we empower our team to build groundbreaking digital solutions that make a real difference for our colleagues and clients. Here, every voice matters, and every idea has the potential to shape the future. Are you ready to make an impact? About The Role As a Software Development – ML Specialist, you'll be at the forefront of designing, implementing, and supporting Python-based applications that align with our Research & Consulting Delivery strategy. Your expertise in NLP will be crucial in crafting solutions that propel Gartner's mission forward. What You’ll Do Pioneer new methodologies to rapidly deploy data-driven products and services, leveraging the power of ML and NLP. Transform unstructured data into actionable insights, setting the stage for advanced modelling. Lead architectural and technical design discussions, ensuring our NLP solutions hit strategic targets. Drive continuous improvement of NLP models through cutting-edge experimentation and optimization. Stay ahead of the curve by integrating the latest advancements in NLP and machine learning. Dive into generative AI technologies like OpenAI and LLaMA3 to supercharge our NLP capabilities. Craft detailed design specifications and rigorously review code to uphold our high standards. What You’ll Need Bring your 2-4 years of expertise in algorithms, statistics, and data processing to the table, along with hands-on experience in machine learning, deep learning, and NLP. Must Have Over 2 years of hands-on experience in Machine Learning and NLP. Mastery of Python programming. Expertise in data cleaning and exploratory data analysis. Deep understanding of algorithms, statistics, data mining, and NLP. Proficiency in NLP, including transformers. Skilled in Python libraries like Pandas and NumPy. Familiarity with deep learning libraries such as SpaCy, NLTK, TensorFlow, and Scikit-Learn. Experience with relational databases like Oracle, PostgreSQL, and MySQL. Strong analytical, problem-solving, and debugging skills. Good To Have Experience with generative AI technologies such as OpenAI, LLaMA3, etc. Knowledge of graph databases. Experience in deploying model serving APIs. Who You Are A master of time management, meeting deadlines with ease. A communicator who can bridge the gap between technical and business audiences. An organizational wizard with multitasking and prioritization prowess. A tech enthusiast eager to embrace and master new technologies and ideas. Driven by intellectual curiosity and a passion for staying ahead of tech trends. Committed to delivering high-quality projects on time and within budget. Think you might not meet every requirement? We encourage you to apply anyway. You could be the perfect fit for this role or others. Join us and be part of something extraordinary! Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work . What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com . Job Requisition ID:98080 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. Show more Show less

About Gartner IT Step into a world where your creativity fuels innovation and your ideas drive transformation. At Gartner IT, we empower our team to build groundbreaking digital solutions that make a real difference for our colleagues and clients. Here, every voice matters, and every idea has the potential to shape the future. Are you ready to make an impact? About The Role As a Software Development – ML Specialist, you'll be at the forefront of designing, implementing, and supporting Python-based applications that align with our Research & Consulting Delivery strategy. Your expertise in NLP will be crucial in crafting solutions that propel Gartner's mission forward. What You’ll Do: Pioneer new methodologies to rapidly deploy data-driven products and services, leveraging the power of ML and NLP. Transform unstructured data into actionable insights, setting the stage for advanced modelling. Lead architectural and technical design discussions, ensuring our NLP solutions hit strategic targets. Drive continuous improvement of NLP models through cutting-edge experimentation and optimization. Stay ahead of the curve by integrating the latest advancements in NLP and machine learning. Dive into generative AI technologies like OpenAI and LLaMA3 to supercharge our NLP capabilities. Craft detailed design specifications and rigorously review code to uphold our high standards. What You’ll Need: Bring your 2-4 years of expertise in algorithms, statistics, and data processing to the table, along with hands-on experience in machine learning, deep learning, and NLP. Must Have: Over 2 years of hands-on experience in Machine Learning and NLP. Mastery of Python programming. Expertise in data cleaning and exploratory data analysis. Deep understanding of algorithms, statistics, data mining, and NLP. Proficiency in NLP, including transformers. Skilled in Python libraries like Pandas and NumPy. Familiarity with deep learning libraries such as SpaCy, NLTK, TensorFlow, and Scikit-Learn. Experience with relational databases like Oracle, PostgreSQL, and MySQL. Strong analytical, problem-solving, and debugging skills. Good to Have: Experience with generative AI technologies such as OpenAI, LLaMA3, etc. Knowledge of graph databases. Experience in deploying model serving APIs. Who You Are: A master of time management, meeting deadlines with ease. A communicator who can bridge the gap between technical and business audiences. An organizational wizard with multitasking and prioritization prowess. A tech enthusiast eager to embrace and master new technologies and ideas. Driven by intellectual curiosity and a passion for staying ahead of tech trends. Committed to delivering high-quality projects on time and within budget. Think you might not meet every requirement? We encourage you to apply anyway. You could be the perfect fit for this role or others. Join us and be part of something extraordinary! Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:98080 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. Show more Show less

🧠 Data Science Intern – Remote | Explore the World of AI & Data Are you fascinated by machine learning, data modeling, and real-world applications of AI? If you're ready to dive into the exciting world of data science, join Skillfied Mentor as a Data Science Intern and start building your future in tech. 📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours 🌟 About the Internship: As a Data Science Intern , you'll get hands-on exposure to real data problems, machine learning concepts, and practical projects. This internship is designed to give you experience that matters — even without prior industry background. 🔹 Work with real datasets to build and test models 🔹 Learn tools like Python, Pandas, NumPy, Scikit-Learn, and Jupyter Notebooks 🔹 Understand the basics of machine learning and data preprocessing 🔹 Collaborate with a remote team to solve business-related challenges 🔹 Apply statistics and coding to derive data-driven solutions 🔍 You’re a Great Fit If You: ✅ Have basic Python knowledge or are eager to learn ✅ Are curious about AI, data modeling, and machine learning ✅ Can dedicate 5–7 hours per week (flexibly) ✅ Are a self-learner and motivated to grow in the data science field ✅ Want to build a strong project portfolio with real use cases 🎁 What You’ll Gain: 📜 Certificate of Completion 📂 Real Projects to Showcase Your Skills 🧠 Practical Knowledge of Data Science Workflows 📈 Experience with Tools Used by Professionals ⏳ Last Date to Apply: 20th June 2025 Whether you’re a student, fresher, or career switcher, this internship is your entry point into the dynamic world of Data Science . 👉 Apply now and bring your data science journey to life with Skillfied Mentor. Show more Show less

Bounteous, a digital innovation partner of the world's most ambitious brands and Accolite Digital , a leading digital engineering, cloud, data & AI services provider, have announced their merger, creating a new end-to-end digital transformation services consultancy that partners with leading brands around the globe to co-innovate and drive exceptional client outcomes. It was Founded in 2003 in Chicago, Bounteous is a leading digital experience consultancy that co-innovates with the world's most ambitious brands to create transformative digital experiences. With services in Strategy, Experience Design, Technology, Analytics and Insight, and Marketing, Bounteous elevates brand experiences and drives superior client outcomes. For more information, please visit www.bounteous.com. Profile: Python Developer Experience: 5+ Years Notice Period: 0-15 Days Location: Bangalore, Hyderabad, Chennai and Gurgaon Skills Required: Developing and enhancing Python solutions Should have strong experience in Python Libraries such as Pandas, NumPy. Experience in Restful API’s, experience in linux Integrating user-facing elements into applications Should have experience in web Frameworks especially in Django. Good Problem Solving and Communication skills. Looking for a strong experience in Python with 5+ years of experience Developing and enhancing Python solutions Should have strong experience in Python Libraries such as Pandas, NumPy. Experience in Restful API’s Integrating user-facing elements into applications Should have experience in web Frameworks especially in Django or Flask Good Problem Solving and Communication skill Show more Show less

Job Summary We are hiring a Data Analyst to turn complex data into actionable insights using Power BI, Tableau, QuickSight, and SQL. You’ll collaborate with teams across the organization to design dashboards, optimize data pipelines, and drive data literacy. This is an onsite role in Noida, ideal for problem-solvers passionate about data storytelling. Key Responsibilities Dashboard & Reporting: Develop interactive dashboards in Power BI, Tableau, and QuickSight with drill-down capabilities. Automate reports and ensure real-time data accuracy. Data Analysis & SQL: Write advanced SQL queries (window functions, query optimization) for large datasets. Perform root-cause analysis on data discrepancies. ETL & Data Pipelines: Clean, transform, and model data using ETL tools (e.g. Python scripts). Work with cloud data warehouses (Snowflake, Redshift, BigQuery). Stakeholder Collaboration: Translate business requirements into technical specs. Train non-technical teams on self-service analytics tools. Performance Optimization: Improve dashboard load times and SQL query efficiency. Implement data governance best practices. Technical Skills Must-Have: ✔ BI Tools: Power BI (DAX, Power Query), Tableau (LODs, parameters), QuickSight (SPICE, ML insights) ✔ SQL: Advanced querying, indexing, stored procedures ✔ Data Modeling: Star schema, normalization, performance tuning ✔ Excel/Sheets: PivotTables, VLOOKUP, Power Query Nice-to-Have: ☑ Programming: Python/R (Pandas, NumPy) for automation ☑ Cloud Platforms: AWS (QuickSight, S3), Azure (Synapse), GCP ☑ Version Control: Git, GitHub Soft Skills Strong communication to explain insights to non-technical teams. Curiosity to explore data anomalies and trends. Project management (Agile/Scrum familiarity is a plus). Qualifications Bachelor’s/Master’s in Data Science, Computer Science, or related field. 1 - 3 years in data analysis, with hands-on experience in Power BI/Tableau/QuickSight. Portfolio of dashboards or GitHub projects (preferred) Show more Show less

🤖 Machine Learning Intern – Remote | Step into the Future of AI Are you fascinated by how machines learn, predict, and improve over time? Dive into the world of intelligent systems with Skillfied Mentor as a Machine Learning Intern and gain real-world experience in building ML models and handling data. 📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours 🌟 About the Internship: As a Machine Learning Intern , you’ll work on projects that involve real datasets, basic algorithms, and collaborative problem-solving. This is your chance to apply coding and math to develop intelligent solutions. Understand core ML concepts like regression, classification & clustering Work with Python libraries like Scikit-learn, Pandas, NumPy Assist in preprocessing data, training models, and analyzing performance Explore real use-cases in recommendation, prediction, and automation Collaborate remotely with mentors and peers in the AI/ML field 🔍 You’re a Great Fit If You: ✅ Know or are learning Python and ML concepts ✅ Are curious about how algorithms work behind the scenes ✅ Can commit 5–7 hours per week (remotely and flexibly) ✅ Are analytical, logical, and love experimenting with data ✅ Want to build practical machine learning projects for your future 🎁 What You’ll Gain: 📜 Certificate of Completion 📂 Hands-On ML Projects for Resume & GitHub 🧠 Practical Exposure to Model Building & Evaluation 📈 Experience in Solving Real Problems with Machine Learning ⏳ Last Date to Apply: 20th June 2025 Whether you're a student, beginner, or transitioning into AI – this internship will help you develop real, applicable skills in Machine Learning . 👉 Apply now and let your ML journey begin with Skillfied Mentor. Show more Show less

🧠 Data Science Intern – Remote | Explore the World of AI & Data Are you fascinated by machine learning, data modeling, and real-world applications of AI? If you're ready to dive into the exciting world of data science, join Skillfied Mentor as a Data Science Intern and start building your future in tech. 📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours 🌟 About the Internship: As a Data Science Intern , you'll get hands-on exposure to real data problems, machine learning concepts, and practical projects. This internship is designed to give you experience that matters — even without prior industry background. 🔹 Work with real datasets to build and test models 🔹 Learn tools like Python, Pandas, NumPy, Scikit-Learn, and Jupyter Notebooks 🔹 Understand the basics of machine learning and data preprocessing 🔹 Collaborate with a remote team to solve business-related challenges 🔹 Apply statistics and coding to derive data-driven solutions 🔍 You’re a Great Fit If You: ✅ Have basic Python knowledge or are eager to learn ✅ Are curious about AI, data modeling, and machine learning ✅ Can dedicate 5–7 hours per week (flexibly) ✅ Are a self-learner and motivated to grow in the data science field ✅ Want to build a strong project portfolio with real use cases 🎁 What You’ll Gain: 📜 Certificate of Completion 📂 Real Projects to Showcase Your Skills 🧠 Practical Knowledge of Data Science Workflows 📈 Experience with Tools Used by Professionals ⏳ Last Date to Apply: 20th June 2025 Whether you’re a student, fresher, or career switcher, this internship is your entry point into the dynamic world of Data Science . 👉 Apply now and bring your data science journey to life with Skillfied Mentor. Show more Show less

Bengaluru, Karnataka Job ID JR2025456951 Category Data Science & Analytics Role Type Hybrid Post Date Jun. 15, 2025 Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Position Overview: Boeing Test and Evaluation team is currently looking for Associate BI Analyst to join their team in Bengaluru, KA. BI Analyst at Boeing make sure that products at the world’s largest aerospace company continue to meet the highest standards. From quality and reliability to safety and performance, their expertise is vital to the concept, design and certifications of a wide variety of commercial and military systems. Position Responsibilities: Develop and maintain high-quality Python code for data analysis and data visualization . Utilize Tableau to create interactive and insightful dashboards and reports for data-driven decision-making . Collaborate closely with data scientists and business analysts to understand requirements and translate them into effective software and visualization solutions . Participate in code reviews, ensuring adherence to best practices and standards . Optimize existing algorithms and systems for improved performance and scalability . Contribute to the integration of machine learning models into production systems . Troubleshoot and resolve issues related to data quality, performance, and visualization . Stay abreast of new technologies and methodologies in software development, data science, and business intelligence . Document software developments and maintain software documentation . Prepare data for analysis, including cleansing, conditioning, transforming, handling missing fields, identifying new feature variables, and handling multivariate data . Monitor production and deployment. Prepare decision support visualizations and reports, algorithms, models, dashboards, and/or tools . Support the development of software applications integrated with insights obtained from data science and business analysis activities . Employer will not sponsor applicants for employment visa status. Basic Qualifications (Required Skills/Experience): Bachelor's degree in Computer Science, Engineering, Business Analytics, or a related field or higher is required . Minimum 5+ years of professional experience in Python development and Tableau . Position requires hands-on experience in working with SQL, Python, R, Data modeling, and Tableau . Solid understanding of software development principles and lifecycle . Familiarity with data structures, algorithms, system design, and business intelligence concepts . Experience with Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn . Knowledge of version control systems, preferably Git . Strong problem-solving skills and ability to work in a team environment . Excellent verbal and written communication skills . Preferred Qualifications (Desired Skills/Experience): Candidate must be a self-starter with a positive attitude, high ethics, and a track record of working independently in developing the analytics solution s Must be able to work collaboratively with very strong teaming skills. Must be willing to work flexible hours (early or late as needed) to interface with Boeing personnel around the world . Develop and maintain relationships / partnerships with customers, stakeholders, peers, and partners to develop collaborative plans and execute on projects . Proactively seek information and direction to successfully complete the statement of work . Demonstrate strong written, verbal and interpersonal communication skills. Be fluent in written and spoken English, and have high degree of proficiency with MS Office tools to prepare comprehensive reports, presentations, proposals, and Statements of Work . Preferred experience in handling engineering data sets such as component failure data, engineering production process data, engineering test data, time series data etc . Preferred experience in deploying data science solutions on cloud platforms like PCF, GCP, et c Experience in C# Language or ReactJS is a huge plus . Typical Education & Experience: Bachelor or Master degree in Computer Science/ Engineering (Software / Instrumentation / Electronics / Electrical / Mechanical or equivalent discipline) Relocation: This position offers relocation based on candidate eligibility within India. Applications for this position will be accepted until Jun. 20, 2025 Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

Role : Senior Python Locations : Teynampet, Chennai/Kk Nagar, from Office : (1pm to 10pm) Monday of Interview : : 3+ Skills : 3+ years of Strong experience in Python & 2 years in Django Web framework Experience or Knowledge in implementing various Design Patterns Good Understanding of MVC framework & Object-Oriented Programming Experience in PGSQL / MySQL and MongoDB Good knowledge in different frameworks, packages & libraries Django/Flask, Django ORM, Unit Test, NumPy, Pandas, Scrapy etc. Experience developing in a Linux environment, GIT & Agile methodology Good to have knowledge in any one of the JavaScript frameworks: jQuery, Angular, ReactJS Good to have experience in implementing charts, graphs using various libraries Good to have experience in Multi-Threading, REST API management (ref:hirist.tech) Show more Show less

We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will have expertise in Python, SQL, Tableau, and PySpark, with additional exposure to SAS, banking domain knowledge, and version control tools like GIT and BitBucket. The candidate will be responsible for developing and optimizing data pipelines, ensuring efficient data processing, and supporting business intelligence initiatives. Key Responsibilities Design, build, and maintain data pipelines using Python and PySpark Develop and optimize SQL queries for data extraction and transformation Create interactive dashboards and visualizations using Tableau Implement data models to support analytics and business needs Collaborate with cross-functional teams to understand data requirements Ensure data integrity, security, and governance across platforms Utilize version control tools like GIT and BitBucket for code management Leverage SAS and banking domain knowledge to improve data insights Required Skills Strong proficiency in Python and PySpark for data processing Advanced SQL skills for data manipulation and querying Experience with Tableau for data visualization and reporting Familiarity with database systems and data warehousing concepts Preferred Skills Knowledge of SAS and its applications in data analysis Experience working in the banking domain Understanding of version control systems, specifically GIT and BitBucket Knowledge of pandas, numpy, statsmodels, scikit-learn, matplotlib, PySpark , SASPy Qualifications Bachelor's/Master's degree in Computer Science, Data Science, or a related field Excellent problem-solving and analytical skills Ability to work collaboratively in a fast-paced environment Show more Show less

ABOUT HONEYWELL Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable and more productive world, enhancing the quality of life of people around the globe. THE BUSINESS UNIT Honeywell Building Automation (BA) is a leading global provider of products, software, solutions and technologies that enable building owners and occupants to ensure their facilities are safe, energy-efficient, sustainable and productive. BA products and services include advanced software applications for building control and optimization; sensors, switches, control systems and instruments for energy management; access control; video surveillance; fire products; and installation, maintenance and upgrades of systems. Revenues in 2022 for BA were $6B and there are approximately 18,000 employees globally. Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran statusAs an Application Engr I here at Honeywell, you will provide technical expertise and support, assist in developing application solutions, and collaborate with teams to ensure successful project execution. You will report directly to our Application Engr I and you'll work out of our Pune location on a On-site work schedule. Bachelor's degree in Instrumentation/Engineering/ Electrical Engineering/ Electronics & Telecommunication Engineering/ Mechanical Engineering. 2-4 years of work experience in projects environment, with extensive on-site knowledge with Proven track record in a BMS project commissioning. Knowledge in software programming/coding. Knowledge of networking, database technology, integration protocols, and current trends in the industry. Knowledge of DDC programming. Previous exposure to a site base, construction environment. Work experience in global projects will be considered as an advantage Safety adherence. Technical acumen for HVAC systems such as Chilled Water System, Hot Water System, Boilers, Different types of AHUs, FCUs, VAV etc. Hands-on experience of Building Management System (BMS) - field devices/ sensors, DDC & supervisory controllers, software, internet gateways & databases. Good problem-solving, interpersonal skills coupled with effective verbal and written communication skills Good data handling & analytical skills Good proficiency in MS Office Suite (Excel, Outlook, Word, PPT, O365 etc.) Basic understanding of cloud-based analytics solutions, Knowledge of cloud fundamentals - IaaS, PaaS, SaaS and its components Knowledge of analytical tools - Power BI, Python (Pandas & Numpy) and SQL Basic understanding of API/GraphQL and postman tool Knowledge of firewall and networking (added advantage) Knowledge of linux and putty (added advantage) Data analysis using various tools and visualization. BACnet LonWorks Modbus MQTT MS Office SkySpark / Any other Analytics Tool (added advantage) Tableau Desktop tool (added advantage) Niagara N4 Workbench tool (added advantage) Axon/any other software programming language (added advantage). Working knowledge of BI tools Power BI or Tableau, etc. (added advantage) Working knowledge of Python or SQL. (added advantage). Drive Project performance to achieve: On time delivery. Zero Deviation. Drive common best practices. Handling multiple projects. Proactive technical issue prevention. Use Quality Assurance procedures. Support as necessary for trouble free Project execution. Have a passion for winning Act with urgency Become your best About Us Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable. Show more Show less

Hiring for top Unicorns & Soonicorns of India! We’re looking for a Machine Learning Engineer who thrives at the intersection of data, technology, and impact. You’ll be part of a fast-paced team that leverages ML/AI to personalize learning journeys, optimize admissions, and drive better student outcomes. This role is ideal for someone who enjoys building scalable models and deploying them in production to solve real-world problems. What You’ll Do Build and deploy ML models to power intelligent features across the Masai platform — from admissions intelligence to student performance prediction. Collaborate with product, engineering, and data teams to identify opportunities for ML-driven improvements. Clean, process, and analyze large-scale datasets to derive insights and train models. Design A/B tests and evaluate model performance using robust statistical methods. Continuously iterate on models based on feedback, model drift, and changing business needs. Maintain and scale the ML infrastructure to ensure smooth production deployments and monitoring. What We’re Looking For 2–4 years of experience as a Machine Learning Engineer or Data Scientist. Strong grasp of supervised, unsupervised, and deep learning techniques. Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, etc.). Experience with data wrangling tools like Pandas, NumPy, and SQL. Familiarity with model deployment tools like Flask, FastAPI, or MLflow. Experience working with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes) is a plus. Ability to translate business problems into machine learning problems and communicate solutions clearly. Bonus If You Have Experience working in EdTech or with personalized learning systems. Prior exposure to NLP, recommendation systems, or predictive modeling in a consumer-facing product. Contributions to open-source ML projects or publications in the space. Show more Show less

Job Description: AI/ML Specialist We are looking for a highly skilled and experienced AI/ML Specialist to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential. Key Responsibilities Develop and maintain web applications using Django and Flask frameworks. Design and implement RESTful APIs using Django Rest Framework (DRF). Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. Build and integrate APIs for AI/ML models into existing systems. Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn. Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases. Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker. Ensure the scalability, performance, and reliability of applications and deployed models. Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. Write clean, maintainable, and efficient code following best practices. Conduct code reviews and provide constructive feedback to peers. Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills And Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 3+ years of professional experience as a AI/ML Specialist Proficient in Python with a strong understanding of its ecosystem. Extensive experience with Django and Flask frameworks. Hands-on experience with AWS services for application deployment and management. Strong knowledge of Django Rest Framework (DRF) for building APIs. Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. Experience with transformer architectures for NLP and advanced AI solutions. Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with MLOps practices for managing the machine learning lifecycle. Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Skills:- Artificial Intelligence (AI), pandas, Natural Language Processing (NLP), NumPy, Machine Learning (ML), TensorFlow, PyTorch and Python Show more Show less

Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in data-driven modelling and data engineering to Citi’s Global FX Team. By Joining Citi, you will become part of a global organization whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Team/Role Overview The FX Data Analytics & AI Technology team, within Citi's FX Technology organization, seeks a highly motivated Full Stack Data Scientist / Data Engineer. The FX Data Analytics & Gen AI Technology team provides data, analytics, and tools to Citi FX sales and trading globally and is responsible for defining and executing the overall data strategy for FX. The successful candidate will be responsible for developing and implementing data-driven models, and engineering robust data and analytics pipelines, to unlock actionable insights from our vast amount of global FX data. The role will be instrumental in executing the overall data strategy for FX and will benefit from close interaction with a wide range of stakeholders across sales, trading, and technology. We are looking for a proactive individual with a practical and pragmatic attitude, ability to build consensus, and work both collaboratively and independently in a dynamic environment. What You’ll Do Design, develop and implement quantitative models to derive insights from large and complex FX datasets, with a focus on understanding market trends and client behavior, identifying revenue opportunities, and optimizing the FX business. Engineer data and analytics pipelines using modern, cloud-native technologies and CI/CD workflows, focusing on consolidation, automation, and scalability. Collaborate with stakeholders across sales and trading to understand data needs, translate them into impactful data-driven solutions, and deliver these in partnership with technology. Develop and integrate functionality to ensure adherence with best-practices in terms of data management, need-to-know (NTK), and data governance. Contribute to shaping and executing the overall data strategy for FX in collaboration with the existing team and senior stakeholders. What We’ll Need From You 8 to 12 Years experience Master’s degree or above (or equivalent education) in a quantitative discipline. Proven experience in software engineering and development, and a strong understanding of computer systems and how they operate. Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualization and API libraries (matplotlib, plotly, streamlit, Flask, etc). Experience developing and implementing Gen AI applications from data in a financial context. Proficiency working with version control systems such as Git, and familiarity with Linux computing environments. Experience working with different database and messaging technologies such as SQL, KDB, MongoDB, Kafka, etc. Familiarity with data visualization and ideally development of analytical dashboards using Python and BI tools. Excellent communication skills, both written and verbal, with the ability to convey complex information clearly and concisely to technical and non-technical audiences. Ideally, some experience working with CI/CD pipelines and containerization technologies like Docker and Kubernetes. Ideally, some familiarity with data workflow management tools such as Airflow as well as big data technologies such as Apache Spark/Ignite or other caching and analytics technologies. A working knowledge of FX markets and financial instruments would be beneficial. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Job Overview We are looking for a skilled and motivated Jr. Programmer Analyst with 2 years of hands-on experience in Python development and a strong understanding of software development principles. The ideal candidate should have experience with Odoo ORM, PostgreSQL, and API integration. If you have a passion for writing clean, optimized code and are excited about working in a product-based environment, we would love to meet you. Key Responsibilities Develop, test, and maintain applications using Python (Pandas, NumPy, psycopg2). Implement multi-threading and multi-processing where required. Work on Odoo ORM, customizing and optimizing the application architecture. Integrate third-party APIs and ensure smooth data flow between systems. Optimize code for performance and scalability. Collaborate with cross-functional teams using Agile methodologies. Write efficient SQL queries and manage PostgreSQL databases. Utilize Git for version control and contribute to CI/CD processes. Work in a Linux environment for software development and deployment. Support the team in product development from concept to deployment. Technical Requirements (Must Have) Strong proficiency in Python 3 , especially: Pandas , NumPy, Multi-threading , Multi-processing, psycopg2 , API Integration Code optimization techniques. Experience with Odoo ORM and understanding of its architecture Experience in FastAPI / Flask. Proficiency in PostgreSQL and writing complex SQL queries Familiarity with Git , HTML , CSS , and JavaScript. Comfortable working on Linux OS. Experience with Agile software development methodology. Exposure to product development lifecycle. Good To Have Basic knowledge of Docker. Advanced proficiency with Linux. Understanding of stock and crypto markets , especially candlestick patterns. Perks & Benefits Opportunity to work in a fast-growing product environment. Collaborative and supportive team culture. Learning and development opportunities. If you are passionate about technology and want to grow in a dynamic product-based company, we encourage you to apply! Skills:- Python, Odoo (OpenERP), pandas, NumPy, Linux administration, API, Flask, PostgreSQL, FastAPI, Git, Docker and CI/CD Show more Show less

Job Title: Data Science Trainer Organization: SkillCircle Location: Guragaon Employment Type: Full-time Job Summary: SkillCircle is looking for a passionate and knowledgeable Data Science Trainer to mentor and guide students through their journey into the world of data science. The ideal candidate should have a strong foundation in Python, machine learning, data analytics, and the ability to simplify complex concepts for learners at various levels. Required Skills: * Proficiency in Python, Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn. * Knowledge of Machine Learning algorithms and their real-world applications. * Understanding of statistics, data preprocessing, and EDA. * Excellent communication and presentation skills. * Ability to engage and inspire students from non-technical backgrounds. Eligibility Criteria: * Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. * 2–5 years of experience in teaching/training or industry experience in data science roles. * Prior experience as a trainer or mentor is a plus. * Certifications in Data Science or Machine Learning (preferred but not mandatory). Perks and Benefits: * Competitive salary upto 60,000 max * Flexible working hours * Exposure to a large network of learners and tech professionals. * Opportunity to work on live projects and build personal brand through content/webinars. Show more Show less

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description What you get to do in this role: Generate and evaluate synthetic data tailored to improve the robustness, performance, and safety of machine learning models, particularly large language models (LLMs). Train and fine-tune models using curated datasets, optimizing for performance, reliability, and scalability. Design and implement evaluation metrics to rigorously measure and monitor model quality, safety, and effectiveness. Conduct experiments to validate model behavior and improve generalization across diverse use cases. Collaborate with engineering and research teams to identify risks and recommend AI safety mitigation strategies. Participate in the development, deployment, and continuous improvement of end-to-end AI solutions. Contribute to architectural and technology decisions related to AI infrastructure, frameworks, and tooling. Promote modern engineering practices including continuous integration, continuous delivery, and containerized workflows. Qualifications Key qualifications: 5+ years of experience in machine learning, deep learning, and AI systems. Proficiency in Python and frameworks like PyTorch, TensorFlow, and NumPy. Experience in synthetic data generation, model training, and evaluation in real-world environments. Solid understanding of LLM fine-tuning, prompting, and robustness techniques. Knowledge of AI safety principles and experience identifying and mitigating model risks. Hands-on experience deploying and optimizing models using platforms such as Triton Inference Server. Familiarity with CI/CD, automated testing, and container orchestration tools like Docker and Kubernetes. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license. Show more Show less