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Job Overview As an SDE / ML Engineer, you will be responsible for designing, developing, and maintaining scalable pipelines and infrastructure for machine learning models, ensuring high performance, reliability, and efficient deployment. You will work closely with a team of senior engineers to optimize systems, implement robust engineering practices, and contribute to the evolution of our ML and AI infrastructure through scalable software solutions. This position is for immediate joinees only. Key Responsibilities ML Engineering Translating working models into scalable ML pipeline solutions. Maintaining, deploying, and optimizing machine learning pipelines for production environments. Participate in the operational lifecycle of ML systems, including feature engineering support, performance benchmarking, monitoring, and seamless deployment. Tuning pipelines and infrastructure for efficiency, scalability, and low-latency operations. Collaborate with team members to integrate ML models into high-throughput data pipelines and distributed workflows, focusing on code quality, system reliability, and maintainability. Data Engineering Building and maintaining robust, scalable, and high-performance modelling pipelines that handle large-scale data processing. Cleaning, aggregating, & preprocessing data from diverse sources with an emphasis on efficient, parallelizable code. Optimize data retrieval, storage, and processing for speed and resource efficiency in distributed systems. Collaborate with the team on the development and maintenance of large-scale database systems, ensuring fault-tolerance and high availability. Qualifications Bachelor’s degree with 3-5 years of experience or Master’s degree with 2-4 years of experience in Computer Science, Software Engineering, or a related field. Excellent understanding of data structures, algorithms, and software engineering principles, with a proven track record of writing clean, efficient, and maintainable code. Strong command over programming languages, especially Python and Java. Experience with distributed systems and orchestration frameworks such as Kafka for streaming data and Kubernetes for container management. Knowledge of SQL and hands-on experience with large-scale databases and distributed systems (e.g., BigTable, Spark, Hive). Strong problem-solving skills, ability to optimize for performance and scale, and quick learning aptitude. Excellent communication and teamwork skills. About Us Minivet.ai is a small AI products and services firm providing on-prem AI solutions tailored to clients in India and across the world. We take pride in our innovation, and in our ability to empower businesses to address their unique challenges. We collaborate closely with each client, ensuring that every AI solution is a pivotal business advantage to them. This role is a full-time position and is for people living in Bengaluru, India. Application Process Please send your resume as a PDF to jobs@minivet.ai with the subject “SDEJUL25” and the following fields in the message: “Name”, “Highest Qualification”, “Year of completion”, “Phone Number”, “Earliest Joining Date”, “Reason” why you think you are a good fit. If you have less than 2 years of experience, we will be opening up a different position, please DO NOT apply . Applications will be scanned by software and hence applications not meeting the format requirements will not be considered.

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Data Scientist - Global Consumer Sentiment Index Location: Bangalore Reporting to: Product Manager - Global Consumer Sentiment Index Purpose of the role We are seeking a skilled and business-savvy Data Scientist to contribute to the development of our global consumer sentiment analytics platform. This role is critical in ensuring our data science outputs are accurate, scalable, and business-relevant, with a strong focus on NLP and model optimization. The ideal candidate will bridge the gap between advanced data techniques and actionable business insights. Key tasks & accountabilities Apply and fine-tune NLP models for sentiment analysis, aspect extraction, translation, and classification on multi-source textual data. Translate complex technical results into simple, decision-oriented insights for business teams. Ensure high model accuracy and relevance through iterative optimization and performance testing. Collaborate with functional stakeholders to understand use cases and refine problem statements. Ensure proper data modeling aligned with AB InBev’s data architecture; manage different data layers, handle data archiving, and continuously optimize the model as it matures. Involve actively during the visualization phase to ensure that final dashboards align with user needs. Collaborate with functional and technical teams to translate business questions into modeling approaches. Integrate structured and unstructured data from various platforms (e.g., social, e-commerce, forums) to enrich outputs. Maintain rigorous documentation of data science workflows and ensure reproducibility of results. Support model deployment and handover for integration into Power BI, aligning with ABI data standards. Operate in a high-pressure, fast-paced environment across a global project with multiple stakeholders, diverse markets, and high-volume datasets. Ability to manage expectations, adapt to evolving requirements, and deliver results across geographies is critical. Work under the guidance of the Lead Data Scientist and support junior analysts when needed. Business Environment Challenges Lack of structured data; handle noise and ambiguity in user-generated content. Deliver actionable insights within tight timelines and changing inputs. Build scalable models that adapt across markets with unique consumer behaviors. Evaluation Criteria Quality, accuracy and impact of models as measured by stakeholder feedback and usage in decision-making. Ability to communicate technical output clearly to non-technical stakeholders. Delivery of milestones within agreed timelines for each project phase. Continuous innovation and problem-solving initiative demonstrated in improving the models and insights. Qualifications, Experience, Skills Level of educational attainment required Bachelor’s or Master’s in Data Science, Computer Science, Statistics, or a related quantitative field. Previous work experience 4 - 6 years in data science with hands-on experience in NLP projects. Strong track record of working with social media, reviews, or consumer sentiment data. Prior involvement in integrating models with BI platforms, ideally Power BI. Experience working with CI/CD tools (e.g., Azure DevOps). IT Skills: Python (essential), SQL, R, ML/DL frameworks (TensorFlow, Scikit-learn, SpaCy, HuggingFace) Experience with APIs (Twitter, Reddit, Facebook, YouTube, etc.) Familiarity with cloud environments (Azure preferred) Knowledge of Power BI integration and data pipelines Technical Competencies: Essential: NLP, Sentiment Analysis, Topic Modeling, Text Classification Python, SQL, Machine Learning, Model Explainability API integration, Power BI readiness, data engineering fundamentals Text preprocessing, tokenization, and vectorization Sentiment analysis and topic modeling fundamentals Efficient coding practices and code optimization Working with multilingual corpora and translation APIs Desirable: Knowledge of social listening tools (e.g., Brandwatch, Talkwalker) Advanced Data Visualization techniques Experience with multilingual data sets And above all of this, an undying love for beer! We dream big to create future with more cheers.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Must have skills : Google Cloud Machine Learning Services Good to have skills : Google Pub/Sub, GCP Dataflow, Google Dataproc Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence to enhance performance and efficiency. Your typical day will involve collaborating with cross-functional teams to design and implement innovative solutions, utilizing advanced technologies such as deep learning and natural language processing. You will also be responsible for analyzing data and refining algorithms to ensure optimal functionality and user experience, while continuously exploring new methodologies to drive improvements in AI applications. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the design and development of AI-driven applications to meet project requirements. - Collaborate with team members to troubleshoot and resolve technical challenges. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Machine Learning Services. - Good To Have Skills: Experience with GCP Dataflow, Google Pub/Sub, Google Dataproc. - Strong understanding of machine learning frameworks and libraries. - Experience in deploying machine learning models in cloud environments. - Familiarity with data preprocessing and feature engineering techniques. Additional Information: - The candidate should have minimum 2 years of experience in Google Cloud Machine Learning Services. - This position is based at our Hyderabad office. - A 15 years full time education is required. 15 years full time education

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Cloud and Python Developer for ML - Senior 1/2 EY GDS Consulting digital engineering, is seeking an experienced Azure Cloud and Python Developer for ML to join our Emerging Technologies team in DET, GDS. This role presents an exciting opportunity to contribute to innovative projects and be a key player in shaping our technological advancements. The opportunity We are seeking an experienced Azure Cloud and Python Developer with 6-8 years of hands-on experience in machine learning (ML) development. This role involves developing and deploying ML models on the Azure cloud platform, designing efficient data pipelines, and collaborating with data scientists and stakeholders to deliver technical solutions. Your key responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language, ensuring scalability and efficiency. Design and implement scalable and efficient data pipelines for model training and inference, optimizing data processing workflows. Collaborate closely with data scientists and business stakeholders to understand requirements, translate them into technical solutions, and deliver high-quality ML solutions. Implement best practices for ML development, including version control using tools like Git, testing methodologies, and documentation to ensure reproducibility and maintainability. Design and optimize ML algorithms and data structures for performance and accuracy, leveraging Azure cloud services and Python libraries such as TensorFlow, PyTorch, or scikit-learn. Monitor and evaluate model performance, conduct experiments, and iterate on models to improve predictive accuracy and business outcomes. Work on feature engineering, data preprocessing, and feature selection techniques to enhance model performance and interpretability. Collaborate with DevOps teams to deploy ML models into production environments, ensuring seamless integration and continuous monitoring. Stay updated with the latest advancements in ML, Azure cloud services, and Python programming, and apply them to enhance ML capabilities and efficiency. Provide technical guidance and mentorship to junior developers and data scientists, fostering a culture of continuous learning and innovation. Skills and attributes Soft Skills Bachelor's or master's degree in computer science, data science, or related field, with a strong foundation in ML algorithms, statistics, and programming concepts. Minimum 6-8 years of hands-on experience in developing and deploying ML models on Azure cloud platform using Python programming language. Expertise in designing and implementing scalable data pipelines for ML model training and inference, utilizing Azure Data Factory, Azure Databricks, or similar tools. Proficiency in Python programming language, including libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy for ML model development and data manipulation. Strong understanding of ML model evaluation metrics, feature engineering techniques, and data preprocessing methods for structured and unstructured data. Experience with cloud-native technologies and services, including Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage. Familiarity with DevOps practices, CI/CD pipelines, and containerization tools like Docker for ML model deployment and automation. Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to troubleshoot and debug complex ML algorithms and systems. Effective communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders and collaborate in cross-functional teams. Proactive and self-motivated attitude, with a passion for learning new technologies and staying updated with industry trends in ML, cloud computing, and software development. Strong organizational skills and the ability to manage multiple projects, prioritize tasks, and deliver results within project timelines and specifications. Business acumen and understanding of the impact of ML solutions on business operations and decision-making processes, with a focus on delivering value and driving business outcomes. Collaboration and teamwork skills, with the ability to work effectively in a global, diverse, and distributed team environment, fostering a culture of innovation and continuous improvement.. To qualify for the role, you must have A bachelor's or master's degree in computer science, data science, or related field, along with a minimum of 6-8 years of experience in ML development and Azure cloud platform expertise. Strong communication skills and consulting experience are highly desirable for this position. Ideally, you’ll also have Analytical ability to manage complex ML projects and prioritize tasks efficiently. Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills. Familiarity with other cloud platforms and technologies such as AWS, Google Cloud Platform (GCP), or Kubernetes is a plus. What working at EY offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Join our “Digital Service Lab” at DHL Global Forwarding, Freight (DGFF) GSC – Global Service Centre! Job Title: Expert, Data Scientist - Digital Service Lab Job Location: India – Chennai Business Area: GSC, DGFF Department: DSL Grade: L Are you dynamic and results-oriented with a passion for logistics? Join our high-performing Global Shared Services Team (GSC) at DHL Global Forwarding, Freight (DGFF); a Great Place to Work certified organization and one of the “Top 20 most admired Shared Services Organizations in 2022” by the independent global Shared Services & Outsourcing Network (SSON). We are the captive Shared Service Provider for DHL Global Forwarding and DHL Freight (DGFF). We are an organization of more than 4,600 colleagues complemented by approximately 500 virtual FTE (i.e., bots applied in process automation). Our colleagues are based across six service delivery centers in Mumbai, Chennai, Chengdu, Manila, Bogota & Budapest. You will interact with people from all over the world and get the chance to a truly international organization. As an Expert Data Scientist at DSL, the role will lead data analysis and modelling initiatives, collaborating with cross-functional teams to derive actionable insights and drive decision-making processes. With advanced expertise in machine learning and statistical analysis, the role will be key in translating complex data into strategic recommendations to support DSL's objectives and foster innovation. Key Responsibilities: Data Analysis & Model Development: Design, develop, and implement machine learning models to solve business problems. Conduct data preprocessing, feature engineering, and exploratory data analysis to derive meaningful insights. Validate and fine-tune models to ensure accuracy and efficiency. Generative AI & RAG Implementation: Develop and deploy generative AI models to improve automation and decision-making processes. Apply Retrieval-Augmented Generation (RAG) techniques to enhance information retrieval and response generation. Research and experiment with state-of-the-art generative AI methodologies to drive innovation. Business Insight & Reporting: Translate complex data findings into actionable business insights. Develop dashboards, visualizations, and reports to effectively communicate data-driven insights to stakeholders. Collaborate with business units to identify opportunities for leveraging data to drive strategic decisions. Collaboration & Cross-Functional Support: Work closely with data engineers, product managers, and business stakeholders to gather requirements and deliver solutions. Participate in team meetings to discuss project progress, challenges, and innovative ideas. Support senior data scientists in large-scale projects and contribute to the development of best practices. Continuous Learning & Innovation: Stay updated with the latest trends in data science, machine learning, and AI. Experiment with new algorithms and technologies to enhance existing models and solutions. Participate in knowledge-sharing sessions within the team and organization. Data Governance & Best Practices: Ensure data integrity, security, and compliance with company policies. Maintain clear documentation of models, methodologies, and workflows. Promote best practices in coding, data management, and model deployment Required Skills/Abilities: Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. 2-3 years of professional experience in data science, machine learning, or AI roles. Proficiency in Python or R, and data science libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch. Strong knowledge of SQL and experience with relational and non-relational databases. Strong knowledge of generative AI models and hands-on experience with implementing Retrieval-Augmented Generation (RAG) concepts. Basic understanding of version control (Git) and CI/CD pipelines. Experience with data visualization tools like Power BI, Tableau, or matplotlib. Strong analytical and problem-solving skills with a data-driven mindset. Ability to communicate complex technical concepts to non-technical stakeholders. Team player with strong collaboration and interpersonal skills. Eagerness to learn new technologies and contribute to innovative projects. Familiarity with APIs and system integrations for data processing. Understanding of ethical AI practices and data privacy considerations. Join our team at DHL Global Forwarding, Freight (DGFF), Shared Services (GSC), a Great Place to Work certified organization and as a part of a forwarding division, proud recipient of multiple prestigious awards, including Top Employer in India, Top Employer Asia Pacific, and Top Employer Global. Apply now and embark on an exciting journey with us! We offer: We recognize and reward your hard work through a competitive compensation and performance-based incentive. We empower you to learn and grow through training that gives you the knowledge, skills, and abilities to develop into your role and a great range of resources to support your future career aspirations & personal development. Flexible work arrangements to support work/life balance. Generous paid time off: Privilege (earned leave). Comprehensive medical insurance coverage including voluntary parental cover (applicable for IN only) Recognition & Engagement culture By joining one of the world's leading logistics companies, you have a chance to explore a wide range of interesting job challenges and opportunities across our GSC service lines and in our different divisions around the globe. The largest global network with over 35,000 passionate employees. The most efficient processes and fastest response times. The best solutions and customer service.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: This job will oversee the strategic direction and execution of machine learning projects. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description: Essential Responsibilities: Define and drive the strategic vision for machine learning initiatives within the team. Lead the development and optimization of machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Mentor and guide junior engineers and data scientists. Ensure adherence to best practices and industry standards in ML development. Minimum Qualifications: Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience. Previous management experience For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

We are hiring an AI/ML Instructor to teach and mentor students in core areas of Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI. The role involves delivering practical, project-based training, creating course materials, and staying updated with industry trends. Core Skills & Topics : - You’ll Teach Introduction to Machine Learning (Basics of supervised and unsupervised learning, simple regression andclassification models) - Fundamentals of Deep Learning (Introduction to neural networks and how they work) - Basics of Natural Language Processing (NLP) (Text preprocessing, sentiment analysis, simple chatbots) -Computer Vision Essentials (Understanding images, basic image classification, using OpenCV) -Overview of Generative AI (Introduction to how AI can generate text or images, basic prompt-based tools) -Awareness of Deepfakes & AI Ethics (What are deepfakes, risks of AI misuse, ethical considerations) Practical Tools & Skills : Python programming, Jupyter notebooks, basic use of libraries like scikit-learn, OpenCV, and beginner friendly exposure to TensorFlow or PyTorch. Qualifications : -Bachelor’s or Master’s degree required. - 0–3+ years of experience in AI/ML research, engineering, or instruction. -Strong proficiency in Python and modern ML/DL frameworks. -Ability to explain both theoretical concepts and real-world applications clearly. - Bonus: Experience in curriculum design, mentoring, or public speaking. Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹30,000.00 per month Benefits: Paid sick time Schedule: Day shift

Join us to build cutting-edge apps with Angular & PHP. Grow, innovate, and code with a passionate team. Experience: 0 -1 years….. Location: WFO(Ahmedabad / Vadodara ) Key Skill: Python, AI/ML,NLP Other Skill Set: Testing, Good Team Player, Good Communication Position: 1 Requirements: Strong foundation in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch. Understanding of machine learning algorithms (regression, classification, clustering, etc.). Experience with data visualization tools like Matplotlib or Seaborn. Experience with data visualization tools like Matplotlib or Seaborn. Knowledge of data preprocessing techniques. Familiarity with version control systems (e.g., Git). Post Name: Full Stack Developer

Key Responsibilities: Assist in building and optimizing ML models for classification, regression, NLP, or computer vision tasks. Perform data cleaning, preprocessing, and visualization. Write efficient, modular Python code for ML pipelines. Conduct literature reviews and research to identify relevant AI/ML techniques. Collaborate with senior data scientists and engineers on ongoing projects. Participate in model evaluation and A/B testing. Requirements: Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or related field. Solid understanding of Python and libraries like NumPy, pandas, scikit-learn, matplotlib, etc. Familiarity with machine learning algorithms (linear regression, decision trees, clustering, etc.). Knowledge of deep learning frameworks like TensorFlow or PyTorch is a plus. Understanding of SQL or NoSQL databases is a bonus. Good problem-solving and communication skills. Passion for AI/ML and eagerness to learn. Good to Have: Experience working on ML or Python-based projects (share GitHub link if available). Knowledge of cloud platforms like AWS, GCP, or Azure. Exposure to tools like Jupyter Notebook, Git, or Docker. What You’ll Gain: Mentorship from industry professionals. Hands-on experience with real datasets and production-level ML systems. Job Types: Full-time, Internship Contract length: 3 months Work Location: In person

Weavers Web Solutions Private Limited is looking for a highly skilled and experienced Python AI/ML Developer to join our growing team. You will be working on cutting-edge projects in AI, machine learning, and data analytics, helping us build intelligent systems that drive business success. The ideal candidate will have a strong background in Python programming, machine learning algorithms, data analysis, and model deployment. Key Responsibilities: Design, implement, and maintain scalable AI/ML models using Python. Collaborate with cross-functional teams to define project goals, data requirements, and deliverables. Develop machine learning pipelines for data preprocessing, feature engineering, model training, evaluation, and deployment. Optimize existing ML models for better performance, scalability, and efficiency. Stay updated with the latest trends in AI/ML technologies and apply them to real-world projects. Use libraries such as TensorFlow, Keras, Scikit-learn, Pandas, NumPy, and others to build models. Work with big data platforms and tools like Hadoop, Spark, and cloud-based services. Document solutions, processes, and best practices for team collaboration and knowledge sharing. Conduct data analysis, visualization, and reporting for business insights. Ensure model reproducibility and track experiment results using version control systems like Git. Provide technical leadership and mentoring to junior developers on AI/ML best practices. Required Skills and Qualifications: Experience: Minimum of 4 years of professional experience as an AI/ML Developer or Data Scientist. Programming Skills: Strong proficiency in Python, including experience with libraries such as Pandas, NumPy, SciPy, Scikit-learn, and TensorFlow/PyTorch. Machine Learning Algorithms: In-depth understanding of supervised and unsupervised learning, deep learning, natural language processing (NLP), reinforcement learning, etc. Model Development: Experience in building and deploying AI/ML models in production environments. Data Handling: Solid understanding of data preprocessing, feature extraction, and data normalization. Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Version Control: Proficiency with Git or similar version control systems. Problem Solving: Strong analytical and problem-solving skills with a passion for working with large datasets. Communication Skills: Ability to explain complex technical concepts to non-technical stakeholders and collaborate effectively with cross-functional teams. Job Types: Full-time, Permanent Pay: ₹35,000.00 - ₹55,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Work Location: In person

Req 3:AI/ML Engineer Experience required: 4 to 9 years Notice Period: Immediate to 20 days Job Location: Station-S 2880 Central Expressway, Sri City, AP, 517646, India Key Responsibilities: · Design, build, and implement machine learning models and algorithms for various business applications. · Perform data preprocessing, feature engineering, and exploratory data analysis (EDA). · Collaborate with data engineers to manage datasets, data pipelines, and model deployment workflows. · Evaluate model performance using appropriate metrics and optimize for scalability and accuracy. · Stay up-to-date with the latest research and advancements in AI/ML. · Integrate models into production environments using tools such as Flask, FastAPI, or MLflow. · Document processes, experiments, and methodologies for reproducibility and transparency. · Work with large datasets and distributed computing tools when required. Job Type: Full-time Pay: ₹900,000.00 - ₹1,200,000.00 per year Work Location: In person

Company Description We suggest you enter details here Role Description This is a full-time role for an AI/ML Developer, to be filled immediately. Located on-site in Chennai, the AI/ML Developer will be responsible for developing and deploying machine learning models, designing and implementing AI algorithms, and collaborating with team members to integrate AI solutions into various projects. The role involves working on data preprocessing, feature engineering, and model evaluation to ensure optimal performance. Qualifications Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras Proficiency in programming languages like Python, R, or Java Strong understanding of data structures and algorithms Developmemt of AI and ML concepts, including LLM, fien turning , supervised and unsupervised learning, reinforcement learning, and neural networks Experience with data preprocessing, feature engineering, and model evaluation techniques Excellent problem-solving skills and ability to work collaboratively in a team environment Bachelor's degree in Computer Science, Engineering, or related field 2-4 years of experience in AI/ML development roles Familiarity with tools and libraries such as NumPy, SciPy, pandas, scikit-learn, or Matplotlib

Total yrs of exp: 7+ yrs Balewadi,Pune Location Immediate to 30 Days only Responsibilities - Overall 6+ years of experience, out of which in 5+ in AI, ML and Gen AI and related technologies Proven track record of leading and scaling AI/ML teams and initiatives Strong understanding and hands-on experience in AI, ML, Deep Learning, and Generative AI concepts and applications Expertise in ML frameworks such as PyTorch and/or TensorFlow Experience with ONNX runtime, model optimization and hyperparameter tuning Solid Experience of DevOps, SDLC, CI/CD, and MLOps practices - DevOps/MLOps Tech Stack: Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, ELK stack Experience in production-level deployment of AI models at enterprise scale Proficiency in data preprocessing, feature engineering, and large-scale data handling Expertise in image and video processing, object detection, image segmentation, and related CV tasks Proficiency in text analysis, sentiment analysis, language modeling, and other NLP applications Experience with speech recognition, audio classification, and general signal processing techniques Experience with RAG, VectorDB, GraphDB and Knowledge Graphs Extensive experience with major cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Proficiency in using and integrating cloud-based AI services and tools (e.g., AWS SageMaker, Azure ML, Google Cloud AI) Qualifications - [Education details] Required Skills Strong leadership and team management skills Excellent verbal and written communication skills Strategic thinking and problem-solving abilities Adaptability and adapting to the rapidly evolving AI/ML landscape Strong collaboration and interpersonal skills Ability to translate market needs into technological solutions Strong understanding of industry dynamics and ability to translate market needs into technological solutions Demonstrated ability to foster a culture of innovation and creative problem-solving Preferred Skills Pay range and compensation package - [Pay range or salary or compensation] Equal Opportunity Statement - [Include a statement on commitment to diversity and inclusivity.]

Job Title: Python Backend Developer - FastAPI, PostgreSQL, Pattern Recognition Location: Remote / Hybrid Type: Full-time Experience: 3 to 7 Years Compensation: USDT only | Based on skill and performance About Us: We are a cutting-edge fintech startup building an Al-powered trading intelligence platform that integrates technical analysis, machine learning, and real-time data processing. Our systems analyze financial markets using custom algorithms to detect patterns, backtest strategies, and deploy automated insights. We're seeking a skilled Python Backend Developer experienced in FastAPI, PostgreSQL, pattern recognition, and financial data workflows. Key Responsibilities Implement detection systems for chart patterns, candlestick patterns, and technical indicators (e.g.,RSI, MACD, EMA) Build and scale high-performance REST APIs using FastAPI for real-time analytics and model communication Develop semi-automated pipelines to label financial datasets for supervised/unsupervised ML models Implement and maintain backtesting engines for trading strategies using Python and custom simulation logic Design and maintain efficient PostgreSQL schemas for storing candle data, trades, indicators, and model metadata (Optional) Contribute to frontend integration using Next.js/React for analytics dashboards and visualizations Key Requirements Python (3-7 years): Strong programming fundamentals, algorithmic thinking, and deep Python ecosystem knowledge FastAPI: Proven experience building scalable REST APIs PostgreSQL: Schema design, indexing, complex queries, and performance optimization Pattern Recognition: Experience in chart/candlestick detection, TA-Lib, rule-based or ML-based identification systems Technical Indicators: Familiarity with RSI, Bollinger Bands, Moving Averages, and other common indicators Backtesting Frameworks: Hands-on experience with custom backtesting engines or libraries like Backtrader, PyAlgoTrade Data Handling: Proficiency in NumPy, Pandas, and dataset preprocessing/labeling techniques Version Control: Git/GitHub - comfortable with collaborative workflows Bonus Skills Experience in building dashboards with Next.js / React Familiarity with Docker, Celery, Redis, Plotly, or TradingView Charting Library Previous work with financial datasets or real-world trading systems Exposure to Al/ML model training, SHAP/LIME explainability tools, or reinforcement learning strategies Ideal Candidate Passionate about financial markets and algorithmic trading systems Thrives in fast-paced, iterative development environments Strong debugging, data validation, and model accuracy improvement skills Collaborative mindset - able to work closely with quants, frontend developers, and ML engineers What You'll Get Opportunity to work on next-gen fintech systems with real trading applications Exposure to advanced AI/ML models and live market environments Competitive salary + performance-based bonuses Flexible working hours in a remote-first team

AI/ML Engineer NLP Focus Location : Noida / Gurugram Type : Full-time Hiring for Our Client About The Role We are looking for a talented and experienced AI/NLP Engineer to join our clients innovative and fast-paced team. The ideal candidate is passionate about cutting-edge AI applications and has a proven track record in Natural Language Processing (NLP), Machine Learning (ML), and Generative AI. Youll play a critical role in designing, fine-tuning, deploying, and optimizing AI models for real-world applications. If you enjoy solving complex business problems using scalable AI solutions and collaborating with cross-functional teams, wed love to hear from you. Key Responsibilities Model Development & Fine-tuning : Customize, fine-tune, and optimize state-of-the-art NLP models (e.g., Transformer-based, Conformer-based, VITS). Train models from scratch for business-specific challenges. Generative AI & Prompt Engineering : Design effective prompts tailored to user and business needs. Build similarity models (e.g., BERT, XLNet, cross-encoders) for LLM-based Retrieval-Augmented Generation (RAG). Model Deployment & Optimization : Deploy models at scale using Docker, Kubernetes, and AWS. Optimize performance using vLLM (Paged Attention), quantization, and adapter-based tuning (LoRA, QLoRA). Performance Monitoring & Pipeline Development : Evaluate and enhance model performance (accuracy, latency, scalability). Build robust ML pipelines using tools like Airflow and AWS Batch. Cross-functional Collaboration : Work closely with data scientists, engineers, and product teams to integrate NLP models into production systems. Required Skills & Experience Experience : 6+ years in NLP/ML with deep expertise in fine-tuning and transfer learning. NLP Specialization : ASR, TTS, or custom LLM architectures (e.g., auto-regressive transformers, RWKV). Generative AI : Skilled in designing prompts and leveraging LLMs for business use cases. Programming : Strong in Python; experience in model implementation and pipeline building. Deployment : Hands-on with Docker, Kubernetes, and cloud platforms (AWS preferred). Frameworks & Tools : TensorFlow, PyTorch, Hugging Face, NLTK, SpaCy, Gensim. Bonus Skills (Nice To Have) Cloud & MLOps : AWS Lambda, Step Functions, Batch, GCP, Azure, or Nemo. Scalability : Experience in managing and scaling large AI deployments in production. Preferred Qualifications Bachelor's or Masters in Computer Science, Data Science, Engineering, or a related field. Experience working with large datasets and building robust preprocessing pipelines. Strong grasp of neural networks and advanced deep learning architectures for NLP. (ref:hirist.tech)

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: Job Summary We are seeking a hands-on AI Engineer to help design and build the next generation of reusable AI capabilities — including LLM pipelines, multi-agent systems, and production- grade model infrastructure. This is a strategic individual contributor role sitting within our core foundational AI team, focused on developing modular, scalable, and transferable components that downstream teams can leverage to accelerate their own AI solutions. You’ll work across the full AI lifecycle — from data preprocessing and model orchestration to serving, observability, and optimization — while embedding agentic reasoning and orchestration capabilities into the platform. Job Description: Essential Responsibilities: Define and drive the strategic vision for machine learning initiatives within the team. Lead the development and optimization of machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Mentor and guide junior engineers and data scientists. Ensure adherence to best practices and industry standards in ML development. Minimum Qualifications: Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience. Previous management experience For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0128668

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: Job Summary We are seeking a hands-on AI Engineer to help design and build the next generation of reusable AI capabilities — including LLM pipelines, multi-agent systems, and production- grade model infrastructure. This is a strategic individual contributor role sitting within our core foundational AI team, focused on developing modular, scalable, and transferable components that downstream teams can leverage to accelerate their own AI solutions. You’ll work across the full AI lifecycle — from data preprocessing and model orchestration to serving, observability, and optimization — while embedding agentic reasoning and orchestration capabilities into the platform. Job Description: Essential Responsibilities: Define and drive the strategic vision for machine learning initiatives within the team. Lead the development and optimization of machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Mentor and guide junior engineers and data scientists. Ensure adherence to best practices and industry standards in ML development. Minimum Qualifications: Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience. Previous management experience For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0128664

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: Job Summary We are seeking a hands-on AI Engineer to help design and build the next generation of reusable AI capabilities — including LLM pipelines, multi-agent systems, and production- grade model infrastructure. This is a strategic individual contributor role sitting within our core foundational AI team, focused on developing modular, scalable, and transferable components that downstream teams can leverage to accelerate their own AI solutions. You’ll work across the full AI lifecycle — from data preprocessing and model orchestration to serving, observability, and optimization — while embedding agentic reasoning and orchestration capabilities into the platform. Job Description: Essential Responsibilities: Define and drive the strategic vision for machine learning initiatives within the team. Lead the development and optimization of machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Mentor and guide junior engineers and data scientists. Ensure adherence to best practices and industry standards in ML development. Minimum Qualifications: Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience. Previous management experience For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0128667

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: This job will oversee the strategic direction and execution of machine learning projects. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description: Essential Responsibilities: Define and drive the strategic vision for machine learning initiatives within the team. Lead the development and optimization of machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Mentor and guide junior engineers and data scientists. Ensure adherence to best practices and industry standards in ML development. Minimum Qualifications: Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience. Previous management experience For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0128670

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: This job will oversee the strategic direction and execution of machine learning projects. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description: Essential Responsibilities: Define and drive the strategic vision for machine learning initiatives within the team. Lead the development and optimization of machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Mentor and guide junior engineers and data scientists. Ensure adherence to best practices and industry standards in ML development. Minimum Qualifications: Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience. Previous management experience For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0128672

Join our “Digital Service Lab” at DHL Global Forwarding, Freight (DGFF) GSC – Global Service Centre! Job Title: Expert, Data Scientist - Digital Service Lab Job Location: India – Chennai Business Area: GSC, DGFF Department: DSL Grade: L Are you dynamic and results-oriented with a passion for logistics? Join our high-performing Global Shared Services Team (GSC) at DHL Global Forwarding, Freight (DGFF); a Great Place to Work certified organization and one of the “Top 20 most admired Shared Services Organizations in 2022” by the independent global Shared Services & Outsourcing Network (SSON). We are the captive Shared Service Provider for DHL Global Forwarding and DHL Freight (DGFF). We are an organization of more than 4,600 colleagues complemented by approximately 500 virtual FTE (i.e., bots applied in process automation). Our colleagues are based across six service delivery centers in Mumbai, Chennai, Chengdu, Manila, Bogota & Budapest. You will interact with people from all over the world and get the chance to a truly international organization. As an Expert Data Scientist at DSL, the role will lead data analysis and modelling initiatives, collaborating with cross-functional teams to derive actionable insights and drive decision-making processes. With advanced expertise in machine learning and statistical analysis, the role will be key in translating complex data into strategic recommendations to support DSL's objectives and foster innovation. Key Responsibilities: Data Analysis & Model Development: Design, develop, and implement machine learning models to solve business problems. Conduct data preprocessing, feature engineering, and exploratory data analysis to derive meaningful insights. Validate and fine-tune models to ensure accuracy and efficiency. Generative AI & RAG Implementation: Develop and deploy generative AI models to improve automation and decision-making processes. Apply Retrieval-Augmented Generation (RAG) techniques to enhance information retrieval and response generation. Research and experiment with state-of-the-art generative AI methodologies to drive innovation. Business Insight & Reporting: Translate complex data findings into actionable business insights. Develop dashboards, visualizations, and reports to effectively communicate data-driven insights to stakeholders. Collaborate with business units to identify opportunities for leveraging data to drive strategic decisions. Collaboration & Cross-Functional Support: Work closely with data engineers, product managers, and business stakeholders to gather requirements and deliver solutions. Participate in team meetings to discuss project progress, challenges, and innovative ideas. Support senior data scientists in large-scale projects and contribute to the development of best practices. Continuous Learning & Innovation: Stay updated with the latest trends in data science, machine learning, and AI. Experiment with new algorithms and technologies to enhance existing models and solutions. Participate in knowledge-sharing sessions within the team and organization. Data Governance & Best Practices: Ensure data integrity, security, and compliance with company policies. Maintain clear documentation of models, methodologies, and workflows. Promote best practices in coding, data management, and model deployment Required Skills/Abilities: Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. 2-3 years of professional experience in data science, machine learning, or AI roles. Proficiency in Python or R, and data science libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch. Strong knowledge of SQL and experience with relational and non-relational databases. Strong knowledge of generative AI models and hands-on experience with implementing Retrieval-Augmented Generation (RAG) concepts. Basic understanding of version control (Git) and CI/CD pipelines. Experience with data visualization tools like Power BI, Tableau, or matplotlib. Strong analytical and problem-solving skills with a data-driven mindset. Ability to communicate complex technical concepts to non-technical stakeholders. Team player with strong collaboration and interpersonal skills. Eagerness to learn new technologies and contribute to innovative projects. Familiarity with APIs and system integrations for data processing. Understanding of ethical AI practices and data privacy considerations. Join our team at DHL Global Forwarding, Freight (DGFF), Shared Services (GSC), a Great Place to Work certified organization and as a part of a forwarding division, proud recipient of multiple prestigious awards, including Top Employer in India, Top Employer Asia Pacific, and Top Employer Global. Apply now and embark on an exciting journey with us! We offer: We recognize and reward your hard work through a competitive compensation and performance-based incentive. We empower you to learn and grow through training that gives you the knowledge, skills, and abilities to develop into your role and a great range of resources to support your future career aspirations & personal development. Flexible work arrangements to support work/life balance. Generous paid time off: Privilege (earned leave). Comprehensive medical insurance coverage including voluntary parental cover (applicable for IN only) Recognition & Engagement culture By joining one of the world's leading logistics companies, you have a chance to explore a wide range of interesting job challenges and opportunities across our GSC service lines and in our different divisions around the globe. The largest global network with over 35,000 passionate employees. The most efficient processes and fastest response times. The best solutions and customer service.

Skill required: Marketing Operations - Marketing Automation & Technology Execution Designation: Marketing Platform Auto Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? We are seeking a talented and motivated AI Developer to join our dynamic team. As an AI Developer, you will be responsible for developing, implementing, and optimizing AI models and algorithms to solve complex business challenges. You will work closely with cross-functional teams to design intelligent solutions that scale and meet the needs of our projects. What are we looking for? Develop AI Models: Design and build machine learning, deep learning, and NLP models to automate business processes and enhance decision-making. Data Processing: Collect, clean, and preprocess data to ensure it is ready for training AI models. Model Optimization: Tune and optimize models to improve performance and scalability. Collaborate with Teams: Work closely with data scientists, engineers, and product managers to define and implement AI solutions. AI Research: Stay updated with the latest trends in artificial intelligence and machine learning and apply state-of-the-art techniques in your work. Deploy AI Solutions: Work on integrating AI models into production systems and ensure they work seamlessly. Testing & Validation: Conduct thorough testing of AI models to ensure they are accurate, efficient, and robust. Documentation: Maintain detailed documentation for AI algorithms, processes, and code. Education: Bachelor’s or master’s degree in computer science, Data Science, AI, Machine Learning, or a related field. Experience: Proven experience (2+ years) in developing and deploying AI models. Programming Languages: Proficient in Python, with experience in AI/ML libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, or similar. Backend framework like Django/Flask. Machine Learning: Strong understanding of machine learning algorithms and frameworks. Data Handling: Experience with data manipulation and preprocessing using libraries like Pandas, NumPy, etc. Deep Learning: Familiarity with neural networks, CNNs, RNNs, and other deep learning architectures. Cloud Platforms: Experience with cloud services like AWS, GCP, or Azure for deploying AI models. Database Knowledge: Knowledge of SQL, NoSQL databases, and data storage solutions. Version Control: Proficiency in Git for version control and collaboration. Problem-Solving: Excellent problem-solving and analytical skills. Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day to day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Please note that this role may require you to work in rotational shifts Strong communication skills to explain complex AI concepts to non-technical stakeholders. Ability to work in a fast-paced, collaborative environment. Eagerness to learn and stay updated with new AI technologies and industry trends.

Job Title: Data Scientist Location: [Insert Location] Experience: 5–10 years (flexible based on expertise) Employment Type: Full-Time Compensation: [Insert Budget / Competitive as per industry standards] About the Role: We are looking for a highly skilled and innovative Data Scientist with deep expertise in Machine Learning, AI, and Cloud Technologies to join our dynamic analytics team. The ideal candidate will have hands-on experience in NLP, LLMs, Computer Vision , and advanced statistical techniques, along with the ability to lead cross-functional teams and drive data-driven strategies in a fast-paced environment. Key Responsibilities: Develop and deploy end-to-end machine learning pipelines including data preprocessing, modeling, evaluation, and production deployment. Work on cutting-edge AI/ML applications such as LLM-finetuning, NLP, Computer Vision, Hybrid Recommendation Systems , and RAG/CAG techniques . Leverage platforms like AWS (SageMaker, EC2) and Databricks for scalable model development and deployment. Handle data at scale using Spark, Python, SQL , and integrate with NoSQL and Vector Databases (Neo4j, Cassandra) . Design interactive dashboards and visualizations using Tableau for actionable insights. Collaborate with cross-functional stakeholders to translate business problems into analytical solutions. Guide data curation efforts and ensure high-quality training datasets for supervised and unsupervised learning. Lead initiatives around AutoML, XGBoost, Topic Modeling (LDA/LSA), Doc2Vec , and Object Detection & Tracking . Drive agile practices including Sprint Planning, Resource Allocation, and Change Management . Communicate results and recommendations effectively to executive leadership and business teams. Mentor junior team members and foster a culture of continuous learning and innovation. Technical Skills Required: Programming: Python, SQL, Spark Machine Learning & AI: NLP, LLMs, Deep Learning, Computer Vision, Hybrid Recommenders Techniques: RAG, CAG, LLM-Finetuning, Statistical Modeling, AutoML, Doc2Vec Data Platforms: AWS (SageMaker, EC2), Databricks Databases: SQL, NoSQL, Neo4j, Cassandra, Vector DBs Visualization Tools: Tableau Certifications (Preferred): IBM Data Science Specialization Deep Learning Nanodegree (Udacity) SAFe® DevOps Practitioner Certified Agile Scrum Master Professional Competencies: Proven experience in team leadership, stakeholder management , and strategic planning . Strong cross-functional collaboration and ability to drive alignment across product, engineering, and analytics teams. Excellent problem-solving, communication, and decision-making skills. Ability to manage conflict resolution, negotiation , and performance optimization within teams.

Job Description Lead the design and development of robust machine learning and deep learning architectures tailored to solve real-world business challenges. Build and optimize models using frameworks like TensorFlow, PyTorch, and Keras, ensuring high accuracy and performance. Architect and oversee end-to-end data pipelines, including data ingestion, preprocessing, and feature engineering for AI workloads. Research, prototype, and productionize novel algorithms in areas such as computer vision, NLP, and reinforcement learning. Deploy models using cloud platforms (AWS/Azure/GCP), leveraging GPU/TPU infrastructure, and integrating into CI/CD workflows using Docker and other tools. Tune hyperparameters, manage model drift, and implement monitoring to ensure sustained model performance in production. Collaborate with engineering, data science, and product teams to align AI initiatives with business goals. Ensure robust documentation, version control, and adherence to MLOps principles throughout the development lifecycle. Stay ahead of trends in AI/ML and guide the team on best practices, tools, and frameworks. Requirements Required Skills and Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related technical field. Experience: 4–5 years of experience in developing and deploying machine learning or deep learning solutions in real-world environments. Technical Expertise: Proficient in Python and ML libraries: NumPy, Pandas, Scikit-learn, Matplotlib, etc. Deep experience with TensorFlow, PyTorch, and Keras. Strong grasp of neural networks, CNNs, RNNs, Transformers, and GANs. Experience with GPU/TPU acceleration, model optimization, and distributed training. Familiarity with cloud platforms (AWS, Azure, or GCP) for scalable AI deployments. Hands-on with Docker, version control, and CI/CD tools for deployment automation. Experience in NLP, Computer Vision, or Reinforcement Learning projects is a strong plus. Preferred Traits: Strong problem-solving and architectural thinking Ability to work in agile, cross-functional teams Passion for innovation and applying AI to business use cases

Job Title: Junior Lab Assistant, Artificial Intelligence Lab Reports to: Head, Department of Computer Science Location: Ashoka University Campus, Sonipat Experience (in years): 0 - 2 years Nature of work: Full time About Department: The Department of Computer Science at Ashoka University fosters a research-driven approach to both foundational and applied areas of computing. Its unique positioning within a liberal arts environment provides a distinctive opportunity to advance core computer science research while also exploring interdisciplinary applications across the natural and social sciences. Our department values the cross-pollination of ideas from diverse fields, not only to solve existing problems but to ask novel research questions that deepen and expand the scope of computer science. Through this integration of foundational knowledge and interdisciplinary engagement, Ashoka’s CS department contributes meaningfully to both the theoretical and societal dimensions of the field. Role and Responsibilities: 1. Lab Maintenance and Support: Ensure smooth operation of AI/ML lab equipment, software, and hardware (including servers, workstations, and peripherals). This includes installation, configuration, updating, and maintenance of computing hardware and software. Troubleshooting technical issues related to lab systems and software. 2. Student & Faculty Assistance: Assist students and researchers in setting up AI/ML experiments and guide them in using lab resources (GPUs, cloud platforms, datasets). This includes scheduling resources, logistics support, assisting faculty in AI-related research projects, and help with data preprocessing, model training, and testing. 3. Administrative Duties: Maintain lab inventory (hardware, software licenses, datasets) and schedule, help manage the webpage, and assist in organizing AI workshops, hackathons, and training sessions. Qualifications and experience: Diploma or Undergraduate degree in Computer Science, IT, Electronics, or a related field. Work experience is preferred but not required. Skills Required: Proficiency in Linux (including command-line operations, file systems, and basic scripting) and familiarity with Windows for lab management. Essential programming skills include Python and basic knowledge of C/C++. The candidate must be familiar with CPU architectures (including registers, pipelines, and memory hierarchy), memory systems (SRAM, DRAM, Flash, cache organization), and microcontroller platforms. Familiarity with IoT frameworks and wireless protocols (Wi-Fi, Bluetooth, LoRa) would be advantageous. The work hours would be split in a way that the lab is operational later in the day and over the weekends when students can best access it