964 Keras Jobs - Page 2

Description AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? At AWS ProServe India LLP (“ProServe India”), we are helping large enterprises build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our internal customers to address business needs of AWS customers using AI. AWS Professional Services is a unique consulting team in ProServe India. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML or DL models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. If you do not live in a market where we have an open Data Scientist position, please feel free to apply. Our Data Scientists can live in any location where we have a Professional Service office. Key job responsibilities Responsibilities A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include: Understand the internal customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances . Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models. Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models. Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data. Work with our Professional Services DevOps consultants to help our internal customers operationalize models after they are built. Assist internal customers with identifying model drift and retraining models. Research and implement novel ML and DL approaches, including using FPGA. This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi/Pune. About The Team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications 7+ years of professional or military experience, including a Bachelor's degree. 7+ years managing complex, large-scale projects with internal or external customers. Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Skilled in using Deep Learning frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, Amazon Machine Learning) to build models for internal customers. Preferred Qualifications 7+ years of IT platform implementation in a technical and analytical role experience. Experience in consulting, design and implementation of serverless distributed solutions. Experienced in databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and managing complex, large-scale customer-facing projects. Experienced as a technical specialist in design and architecture, with expertise in cloud-based solutions (AWS or equivalent), systems, networks, and operating systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - AWS ProServe IN - Karnataka Job ID: A3009199 Show more Show less

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Work collaboratively with Data Analyst, Data Scientists Software Engineers and cross-functional partners to design and deploy data pipelines to deliver analytical solution. Responsible for building data pipelines, data model, data marts, data warehouse including OLAP cube in multidimensional data model with proficiency / conceptual understanding of PySpark and SQL scripting. Responsible for the design, development, testing, implementation and support functional semantic data marts using various modeling techniques from underlying data stores/data warehouse and facilitate Business Intelligence Data Solutions Experience in building reports, dashboards, scorecards & visualization using Tableau/ Power BI and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data. Responsible for AI/ML model Utilizing machine learning, statistical methods, data mining, forecasting and predictive modeling techniques. Following Dev Ops Model, Agile implementation, CICD method of deployment & JIRA creation / management for projects. Define and build technical/data documentation and experience with code version control systems (for e.g., git). Assist owner with periodic evaluation of next generation & modernization of platform. Exhibit Leadership Principles such as Accountability & Ownership of High Standards: Given the criticality & sensitivity of data . Customer Focus : Going Above & Beyond in finding innovative solution and product to best serve the business needs and there-by Visa. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications • Bachelors degree or •0.6-1.6 years of work experience with a Bachelor’s Degree or Master's Degree in computer / information science with relevant work experience in IT industry •Enthusiastic, energetic and self-learning candidates with loads of curiosity and flexibility. •Proven hands-on capability in the development of data pipelines and data engineering. •Experience in creating data-driven business solutions and solving data problems using technologies such as Hadoop, Hive, and Spark. •Ability to program in one or more scripting languages such as Python and one or more programming languages such as Java or Scala. •Familiarity with AI-centric libraries like TensorFlow, PyTorch, and Keras. •Familiarity with machine learning algorithms and statistical models is beneficial. •Critical ability to interpret complex data and provide actionable insights. This encompasses statistical analysis, predictive modeling, and data visualization. •Extended experience in Agile Release Management practices, governance, and planning. •Strong leadership skills with demonstrated ability to lead global, cross-functional teams. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Show more Show less

Role: AI/ML Engineer Relevant experience: 3+ years Location: Bangalore/Mysore/Coimbatore Work mode: From office 5 days a week Job Summary: We are looking for an innovative AI/ML Engineer to join our team and work on cutting-edge machine learning and artificial intelligence projects. The ideal candidate will have experience in building, deploying, and optimizing AI/ML models, along with a strong foundation in data science, programming, and algorithms. You will help drive the development of intelligent systems that leverage machine learning to solve real-world problems and improve business outcomes. Key Responsibilities: Data Preparation and Analysis: Ability to understand large datasets, preprocess them, and extract features Data Preprocessing Techniques: Knowledge of normalization, feature encoding, and handling missing values Data Cleaning: Identifying and rectifying errors, outliers, and missing values within datasets Design, develop, and implement machine learning & Deep Learning (FNN, CNN, RNN) models, with a focus on LLMs, generative AI, and fraud detection systems. Deploy and maintain ML models in AWS or any other cloud environments. Optimize model performance and scalability. Collaborate with cross-functional teams to integrate AI solutions into existing applications. Develop and maintain APIs (RESTful) for AI model integration. Implement MLOps best practices to streamline the ML lifecycle. Stay up-to-date with the latest advancements in AI/ML and incorporate new techniques into our workflow. Develop and implement fraud detection models to identify and prevent fraudulent activities. Evaluate model performance using appropriate metrics and techniques, ensuring high accuracy and reliability. Experience with Machine Learning Libraries and Frameworks: Familiarity with tools like TensorFlow, PyTorch, and scikit-learn, Keras Show more Show less

We are looking for a highly skilled and motivated Data Scientist with deep experience in building recommendation systems to join our team. This role demands expertise in deep learning, embedding-based retrieval, and the Google Cloud Platform (GCP). You will play a critical role in developing intelligent systems that enhance user experiences through personalized content discovery. Key Responsibilities: Develop, train, and deploy recommendation models using two-tower, multi-tower, and cross-encoder architectures . Generate and utilize text/image embeddings (e.g., CLIP , BERT , Sentence Transformers ) for content-based recommendations. Design semantic similarity search pipelines using vector databases (FAISS, ScaNN, Qdrant, Matching Engine). Create and manage scalable ML pipelines using Vertex AI , Kubeflow Pipelines , and GKE . Handle large-scale data preparation and feature engineering using Dataproc (PySpark) and Dataflow . Implement cold-start strategies leveraging metadata and multimodal embeddings. Work on user modeling , temporal personalization , and re-ranking strategies . Run A/B tests and interpret results to measure real-world impact. Collaborate with cross-functional teams (Engineering, Product, DevOps) for model deployment and monitoring. Must-Have Skills: Strong command of Python and ML libraries: pandas, polars, numpy, scikit-learn, matplotlib, tensorflow, torch, transformers. Deep understanding of modern recommender systems and embedding-based retrieval . Experience with TensorFlow , Keras , or PyTorch for building deep learning models. Hands-on with semantic search , ANN search , and real-time vector matching . Proven experience with Vertex AI , Kubeflow on GKE , and ML pipeline orchestration. Familiarity with vector DBs such as Qdrant , FAISS , ScaNN , or Matching Engine on GCP. Experience in deploying models via Vertex AI Online Prediction , TF Serving , or Cloud Run . Knowledge of feature stores , embedding versioning , and MLOps practices (CI/CD, monitoring). Preferred / Good to Have: Experience with ranking models (e.g., XGBoost , LightGBM , DLRM ) for candidate scoring. Exposure to LLM-powered personalization or hybrid retrieval systems. Familiarity with streaming pipelines using Pub/Sub , Dataflow , Cloud Functions . Hands-on with multi-modal retrieval (text + image + tabular data). Strong grasp of cold-start problem solving , using enriched metadata and embeddings. GCP Stack You’ll Work With: ML & Pipelines: Vertex AI, Vertex Pipelines, Kubeflow on GKE Embedding & Retrieval: Matching Engine, Qdrant, FAISS, ScaNN, Milvus Processing: Dataproc (PySpark), Dataflow Ingestion & Serving: Pub/Sub, Cloud Functions, Cloud Run, TF Serving CI/CD & Automation: GitHub Actions, GitLab CI, Terraform Show more Show less

Red & White Education Pvt Ltd , founded in 2008, is Gujarat's leading educational institute. Accredited by NSDC and ISO, we focus on Integrity, Student-Centricity, Innovation, and Unity. Our goal is to equip students with industry-relevant skills and ensure they are employable globally. Join us for a successful career path. Job Description: Faculties guide students, deliver course materials, conduct lectures, assess performance, and provide mentorship. Strong communication skills and a commitment to supporting students are essential. Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. Additional Skills: Confident body language and clear communication. Strong classroom management and discipline skills. Punctual, prepared, and passionate about teaching. Open to learning and professional development. Proficient in verbal and written communication. Strong problem-solving, leadership, and decision-making abilities. Positive attitude and ability to work independently. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹35,000.00 per month Benefits: Cell phone reimbursement Flexible schedule Leave encashment Paid sick time Paid time off Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Experience: Teaching / Mentoring: 1 year (Required) AI: 1 year (Required) ML: 1 year (Required) Data science: 1 year (Required) Location: Ahmedabad, Gujarat (Required) Work Location: In person

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

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. Title-Senior Developer Overall Years Of Experience-3 To 5 Years Relevant Years of Experience-3+ Technical Lead: The Artificial Intelligence (AI) & Machine Learning (ML) Developer is responsible for designing and implementing solutions based on AI and Machine Learning. Position Summary 3+yrs of experience in a similar profile with strong service delivery background Lead and guide a team of Junior Developers. Design technical specifications for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same. Contribute to products or tools built on Artificial Intelligence technologies and paradigms, that can enable high-value offerings. Building AI solutions would involve the use and creation of AI and ML techniques including but not limited to deep learning, computer vision, natural language processing, search, information retrieval, information extraction, probabilistic graphical models and machine learning. Plan and implement version control of source control Define and implement best practises for software development Excellent computer skills - proficient in excel, PowerPoint, word and outlook Excellent interpersonal skills and a collaborative management style Ability to analyse and suggest solutions Strong command on verbal and written English language Essential Roles and Responsibilities Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implementing the same in production. Solid understanding and experience of deep learning architectures and algorithms Experience solving problems in industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders etc Should have experience of 2-3 production implementation of machine learning projects. Knowledge of open source libraries such as Keras, Tensor Flow, Pytorch Work with business analysts/consultants and other necessary teams to create a strong solution Should have in depth understanding and experience of Data science and Machine Learning projects using Python, R etc Skills in Java/C are a plus Should developing solutions using python in AI/ML projects Should be able to train and build a team of technical developers Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC Desired to have knowledge on any of the cloud solutions such as Azure or AWS Desired to have knowledge on any of container technology such as Docker Should be able to work with a multi culture global teams and team virtually Should be able to build strong relationship with project stakeholders Should be able to build strong relationship with project stakeholders 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. Show more Show less

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role As the Director, AI/ML Technology and Architecture at one of the largest global Media & Entertainment companies, you will be at the forefront of leading cutting-edge AI and machine learning initiatives that redefine how our organization leverages technology to stay ahead in a fast-evolving industry. Your role will directly contribute to shaping and scaling AI-driven solutions that power innovation, optimize content creation, distribution, and user engagement, all while driving business value and operational efficiency. You will work alongside a talented team of data scientists, engineers, and business leaders to establish a robust AI/ML strategy, build sustainable architectures, and ensure that technology aligns with the company's long-term vision. This position offers you the opportunity to work on impactful projects in a creative and dynamic environment where AI and ML are transforming the way content is produced and consumed globally. If you are an innovator with a passion for AI technology and its real-world applications, this is your chance to make a lasting impact. AI/ML Architecture & Strategy Define and evolve the long-term AI/ML architecture roadmap, ensuring scalability, maintainability, and integration with existing systems. Conduct thorough technology evaluations and vendor assessments to identify and select the most suitable AI/ML tools, platforms, and technologies. Develop and implement best practices, guidelines, and standards for AI/ML development and deployment across the organization. Collaborate with business stakeholders to understand their needs and translate them into clear and actionable AI/ML strategies. Drive innovation by exploring and evaluating emerging AI/ML technologies and their potential applications within the media and entertainment domain. AI/ML Platform & Infrastructure Design, build, and maintain a robust and scalable AI/ML platform that supports the entire lifecycle of AI/ML model development, from data ingestion and feature engineering to model training, deployment, and monitoring. Ensure the security, reliability, and performance of the AI/ML infrastructure, including data privacy, compliance, and disaster recovery. Optimize resource utilization and cost-effectiveness of the AI/ML platform through efficient resource allocation and infrastructure management. Collaborate with IT and cloud operations teams to ensure seamless integration and smooth operation of the AI/ML platform. Monitor and analyze platform performance, identify bottlenecks, and implement necessary improvements to enhance efficiency and scalability. AI/ML Model Development & Deployment Oversee the development and deployment of high-quality and impactful AI/ML models across various domains, such as content recommendation, personalization, content creation, and fraud detection. Ensure the quality, accuracy, and fairness of AI/ML models through rigorous testing, validation, and monitoring. Develop and implement MLOps best practices, including CI/CD pipelines, automated testing, and model monitoring, to streamline the model development and deployment process. Collaborate with data scientists and engineers to ensure efficient and effective model training, deployment, and maintenance. Drive the adoption of AI/ML models across the organization through clear communication, training, and support. Team Leadership & Management Lead and mentor a high-performing team of AI/ML engineers and architects. Foster a collaborative and innovative team culture that encourages experimentation, learning, and growth. Recruit, hire, and onboard top talent in the field of AI/ML. Provide guidance and support to team members on technical challenges and career development. Track team performance, identify areas for improvement, and implement necessary changes to enhance team effectiveness. Governance and Compliance Ensure all AI/ML initiatives adhere to regulatory requirements, ethical guidelines, and company policies. Define processes for monitoring, auditing, and improving AI models in production. Advocate for responsible AI practices within the organization. Qualifications & Experiences Academic Qualifications: Master’s or Ph.D. degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field from a recognized university. Specialized certifications or training in AI, Machine Learning, Deep Learning, or similar areas are a plus. Professional Experience 12+ years of experience in AI/ML technologies, with at least 8+ years in a leadership role overseeing large-scale AI/ML projects and teams. Proven experience in leading AI/ML architecture design, deployment, and optimization in enterprise-scale environments, preferably within a Media & Entertainment or similar high-tech industry. Strong track record of implementing cloud-based AI solutions (AWS, Azure, GCP) and experience with AI/ML frameworks (TensorFlow, PyTorch, Keras, etc.). Extensive experience in building, scaling, and maintaining AI platforms, machine learning models, and data architectures. Expertise in integrating AI/ML technologies with business processes, including content management, user analytics, and personalized recommendations. Technical Skills Expertise in AI/ML model development, architecture design, and advanced analytics. Deep understanding of cloud-native AI technologies, big data systems, and distributed computing. Experience with AI model deployment pipelines, continuous integration, and delivery (CI/CD). Proficiency in multiple programming languages (Python, Java, C++, etc.) and machine learning libraries. In-depth knowledge of data engineering, data pipelines, and data lake architecture. Other Skills Exceptional leadership and people management skills, with experience managing cross-functional teams. Strong communication skills, with the ability to convey complex technical concepts to business leaders and stakeholders. Deep understanding of AI ethics, privacy, and governance principles. Strong problem-solving abilities, with a passion for innovation and creativity. Proven ability to collaborate effectively across departments and lead change in a complex, fast-paced environment. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. Show more Show less

Job Title: Tech Lead Location: Gurugram (On-site) Employment Type: Full-Time About Aaizel Tech Labs Aaizel Tech Labs is a cutting-edge tech startup specializing in cybersecurity, AI, geospatial solutions, and more. We are at the forefront of technological innovation, committed to developing breakthrough products and solutions that drive industry transformation. Join our dynamic team and work directly with our CTO, contributing to strategic technical decisions and solving complex challenges. Role Overview We are seeking an experienced Tech Lead with a minimum of 8+ years of industry experience. This role requires a deep understanding of multiple technical domains. The ideal candidate will possess in-depth expertise in at least 5-6 of the following areas: Software Development, Geospatial, Meteorology, Frontend, Backend, Embedded Systems, AI, ML, Generative AI, Cloud, System Architecture, Solution Architecture, DevOps, Cybersecurity, Blockchain, among others. You will serve as the right-hand expert to our CTO, helping troubleshoot complex technical problems, guide project teams, and drive innovation across the company. Key Responsibilities Technical Leadership & Collaboration CTO Support: Provide direct assistance to the CTO in evaluating, planning, and executing technology strategies. Cross-Domain Expertise: Leverage your multi-domain expertise to support diverse projects, ensuring technical excellence across teams. Project Guidance: Lead technical discussions, architecture reviews, and troubleshooting sessions across multiple technology stacks. Solution Architecture & System Design Design & Development: Contribute to designing robust, scalable solutions that integrate multiple technologies. Technical Roadmaps: Collaborate in developing and refining technical roadmaps and architecture blueprints. Technology Evaluation: Assess and recommend new technologies, frameworks, and best practices to improve product performance and security. Problem Solving & Innovation Issue Resolution: Diagnose and resolve critical technical issues across software development, cloud infrastructure, security, and other domains. Innovation Catalyst: Drive innovation by identifying opportunities for automation, process improvements, and technology enhancements. Mentorship: Mentor and guide technical teams, fostering a culture of continuous learning and high performance. Domain Expertise Integration Multi-Domain Strategy: Utilize your expertise in at least 5-6 domains (such as Software Development, Geospatial, Meteorology, AI/ML, Cloud, Cybersecurity, Blockchain, etc.) to support and optimize our solutions. Interdisciplinary Collaboration: Work closely with domain-specific teams to ensure integration and alignment of technical strategies across projects. Standards & Best Practices: Establish and enforce technical standards and best practices within your areas of expertise. Technical Stack Specificity Programming Languages Proficiency in at least 3-4 of the following languages: Python (Primary data science, AI/ML, backend development) JavaScript/TypeScript (Frontend and full-stack development) Java/Kotlin (Enterprise and Android development) C/C++ (Embedded systems and performance-critical applications) Go (Cloud-native and systems programming) Rust (Systems programming with high security) R (Statistical computing and geospatial analysis) Frameworks and Technologies Web Frameworks: React, Angular, or Vue.js Django, Flask, or FastAPI Node.js, Express.js Mobile Development: React Native Flutter Kotlin/Swift Cloud Platforms: AWS (Amazon Web Services) Google Cloud Platform Microsoft Azure Containerization and Orchestration: Docker Kubernetes Helm AI/ML Frameworks: TensorFlow PyTorch Keras scikit-learn Blockchain: Ethereum Hyperledger Fabric Solidity DevOps Tools: Jenkins GitLab CI/CD Terraform Ansible Cybersecurity Tools: Wireshark Metasploit OWASP ZAP Burp Suite Technology Vision Alignment Technology Roadmap Focus Areas Advanced AI and Machine Learning capabilities Enhanced Cybersecurity solutions Geospatial intelligence platforms Edge computing and IoT integration Blockchain and decentralized technologies Collaborative Innovation Model Regular technology forums and knowledge-sharing sessions Partnerships with academic institutions and research centers Open-source contributions and community engagement Internal hackathons and innovation challenges Required Skills & Qualifications Experience Minimum 8+ years of hands-on experience in technical leadership or advanced technical role. Educational Background Bachelor's or Master's degree in computer science, Engineering, or a related technical field. Domain Expertise Demonstrable expertise in at least 5-6 of the following areas: Software Development (Full-stack, Mobile, or Desktop) Geospatial Technologies Meteorological Systems Frontend/Backend Development Embedded Systems Artificial Intelligence, Machine Learning, Generative AI Cloud Computing & Infrastructure System Architecture & Solution Architecture DevOps & Automation Cybersecurity Blockchain Technologies Technical Skills Proficiency in multiple programming languages and frameworks. Strong understanding of system integration, microservices, and distributed architectures. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes). Deep knowledge of security best practices and modern cybersecurity strategies. Problem-Solving Exceptional analytical and problem-solving skills, with the ability to manage complex technical challenges. Communication Excellent communication and leadership skills, with experience presenting technical concepts to both technical and non-technical stakeholders. Collaboration Proven ability to work in cross-functional teams and mentor junior technical staff. Preferred Skills Certifications Relevant certifications in cloud technologies, cybersecurity, or project management are a plus. Innovative Mindset A track record of contributing to or leading innovative projects that integrate emerging technologies. Agile Methodologies Familiarity with Agile and DevOps practices, with experience in continuous integration/continuous deployment (CI/CD). Strategic Thinking Ability to see the big picture while diving deep into technical details as needed. Why Join Aaizel Tech Labs? Direct Impact: Work closely with the CTO and senior leadership, playing a key role in shaping the company's technology strategy. Diverse Projects: Engage with a broad range of cutting-edge technologies across multiple domains. Growth & Innovation: Be part of an innovative startup where your expertise can directly influence product development and strategic decisions. Collaborative Culture: Join a vibrant team that values knowledge sharing, creativity, and continuous improvement. How to Apply If you are a seasoned technical expert ready to drive innovation and support our technology leadership, please send your resume, cover letter, and portfolio (if applicable) to hr@aaizeltech.com , bhavik@aaizletech.com or anju@aaizeltech.com. Show more Show less

General information Country India State Telangana City Hyderabad Job ID 44779 Department Development Experience Level EXECUTIVE Employment Status FULL_TIME Workplace Type On-site Description & Requirements As an Associate Machine Learning Engineer / Data Scientist, you will contribute to the advancement of research projects in artificial intelligence and machine learning. Your responsibilities will encompass areas such as large language models, image processing, and sentiment analysis. You will work collaboratively with development partners to incorporate AI research into products such as Digital Assistant and Document Capture. Essential Duties: Model Development: Assist in designing and implementing AI/ML models. Contribute to building innovative models and integrating them into existing systems. Fine-tuning Models: Support the fine-tuning of pre-trained models for specific tasks and domains. Ensure models are optimized for accuracy and efficiency. Data Clean-up: Conduct data analysis and pre-processing to ensure the quality and relevance of training datasets. Implement data cleaning techniques. Natural Language Processing (NLP): Assist in the development of NLP tasks like sentiment analysis, text classification, and language understanding. Large Language Models (LLMs): Work with state-of-the-art LLMs and explore their applications in various domains. Support continuous improvement and adaptation of LLMs. Research and Innovation: Stay updated with advancements in AI/ML, NLP, and LLMs. Experiment with new approaches to solve complex problems and improve methodologies. Deployment and Monitoring: Collaborate with DevOps teams to deploy AI/ML models. Implement monitoring mechanisms to track model performance. Documentation: Maintain clear documentation of AI/ML processes, models, and improvements to ensure knowledge sharing and collaboration. Basic Qualifications: Educational Background Programming and Tools Experience 1-2 years of total industry experience Minimum 6 months experience in ML & Data Science Skills Problem-Solving and Analytical Skills Good oral and written communication skills. Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics or a related field. Specialization or coursework in AI, ML, Statistics & Probability, DL, Computer Vision, Signal Processing, or NLP/NLU is a plus. Proficiency in programming languages commonly used in AI and ML, such as Python or R & querying languages like SQL. Experience in Cloud computing infrastructures like AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Experience with relevant libraries and frameworks, such as scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. This role offers a great opportunity to work with cutting-edge AI/ML technologies and contribute to innovative projects in a collaborative environment. About Infor Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. For more information visit www.infor.com Our Values At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future. We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees. Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the infor.com/about/careers webpage.

Overview Job Description Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor’s “Best Places to Work.” Seeking an astute individual that has a strong technical foundation with ability to be hands-on on developing/building automation to improve efficiency, productivity, and customer experience. Deep knowledge of industry best practices, with the ability to implement them working with larger team cloud, support, and the product teams. Scope We are seeking a highly skilled AI/Prompt Engineer to design, implement, and maintain artificial intelligence (AI) and machine learning (ML) solutions for our organization. The ideal candidate will have a deep understanding of AI and ML technologies, as well as experience with data analysis, software development, and cloud computing. Primary Responsibilities Design and implement AI/ conversational AI solutions and ML solutions to solve business problems and to improve customer experience and operational efficiency. Develop and maintain machine learning models using tools such as TensorFlow, Keras, and PyTorch Collaborate with cross-functional teams to identify opportunities for AI and ML solutions and develop prototypes and proof-of-concepts. Develop and maintain data pipelines and ETL processes to support AI and ML workflows. Monitor and optimize model performance, accuracy, and scalability Stay up to date with emerging AI and ML technologies and evaluate their potential impact on our organization. Develop and maintain technical documentation, including architecture diagrams, design documents, and standard operating procedures Provide technical guidance and mentorship to other members of the data engineering and software development teams. Develop and maintain chatbots and voice assistants using tools such as Dialogflow, Amazon Lex, and Microsoft Bot Framework Develop and maintain integrations with third-party systems and APIs to support conversational AI workflows. Develop and maintain technical documentation, including architecture diagrams, design documents, and standard operating procedures. Provide technical guidance and mentorship to other team members. What We Are Looking For Bachelor’s degree in computer science, Information Technology, or a related field with 3+ years of experience in conversational AI engineering, design, and implementation Strong understanding of NLP technologies, including intent recognition, entity extraction, and sentiment analysis Experience with software development, including proficiency in Python and familiarity with software development best practices and tools (Git, Agile methodologies, etc.) Familiarity with cloud computing platforms (AWS, Azure, Google Cloud) and related services (S3, EC2, Lambda, etc.) Experience with big data technologies (Hadoop, Spark, etc.) Experience with containerization (Docker, Kubernetes) Experience with data visualization tools (Tableau, Power BI, etc.) Experience with reinforcement learning and/or generative models. Experience with machine learning technologies and frameworks (TensorFlow, Keras, etc.) Experience with big data technologies (Hadoop, Spark, etc.) Strong communication and collaboration skills Strong attention to detail and ability to prioritize tasks effectively. Strong problem-solving and analytical skills Ability to work independently and as part of a team. Strong attention to detail and ability to prioritize tasks effectively. Experience working with cloud platforms like AWS, Google Cloud, or Azure. Knowledge of big data technologies such as Apache Spark, Hadoop, or Kafka is a plus. Strong problem-solving and analytical skills. Ability to work in an agile and fast-paced development environment. Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values Diversity, Inclusion, Value & Equity (DIVE) is our strategy for fostering an inclusive environment we can be proud of. Check out Blue Yonder's inaugural Diversity Report which outlines our commitment to change, and our video celebrating the differences in all of us in the words of some of our associates from around the world. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Show more Show less

Role Overview We are seeking a passionate and skilled Machine Learning Engineer to join our team. The ideal candidate will have a strong background in machine learning, data science, and software engineering. As a Machine Learning Engineer, you will work closely with our clients and internal teams to develop, implement, and maintain machine learning models that solve real-world problems. Must Have Skills 2+ years of experience into Computer vision and NLP projects. 2+ years of experience in machine learning and Gen AI, data science, or a related field. Strong experience in python programming Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit- learn) Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus Role And Responsibilities Study and transform data science prototypes Design machine learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Skills:- Machine Learning (ML), Computer Vision, Natural Language Processing (NLP), Python, Generative AI, Keras, PyTorch, Scikit-Learn and Data Science Show more Show less

Job Description About Oracle and OHAI Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & AI. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence. About ODA Within the larger Oracle Health & AI organization, the Oracle Digital Assistant (ODA) is an Assistant platform that enables developers to create their own skills and digital assistants using the Conversational AI and Generative AI capabilities exposed to them in a low-code paradigm. The ODA team has been powering conversational AI experiences for all internal Oracle teams and several external customers for the past 7 years and is evolving rapidly to provide Generative AI solutions for the healthcare and enterprise domains. We operate in an agile environment with a substantial charter, high visibility, and support from senior leadership. About The Team We are looking for ML scientists, Data Engineers, Software Development Engineers, Product/Program Managers and ML engineers with a strong background in machine learning to build industry-leading solutions. You will work with huge volumes of data to solve/enable solving real-world problems in the Healthcare domain that are productionized into our Health AI products. Your solutions will be productized as features in the end products. These are new teams that we are putting together in India Center from scratch and the work will span across New Feature Development for CDA Specialty Expansion & Innovation, Language & Region Expansion, Software Development across front-end, back-end, test automation and mobile, ML Engineering, MLOps, LLMOps, Applied ML Sciences and ML Research, with a huge focus on GenAI capabilities. There is a huge emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers. Qualifications Bachelors Degree with relevant experience; Masters degree Exposure to real-world MLOps deploying models into production adding features to products Knowledge of working in a cloud environment 3+ Years of Experience Strong understanding of LLMs, GenAI, Prompt Engineering and Copilot Career Level - IC3 Responsibilities Responsibilities: Strong expertise in Python programming and one of the Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras) and understanding of LLMs, LLMOps and Generative AI - to be able to deliver per specifications; complete assignments without assitance by exercising judgment & appropriate actions Knowledge of Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, NLP. Hands-on develop ML models using the above techniques Ability to both use existing libraries (ML, Deep Learning, Re-inforcement Learning) as well as design algorithms ground-up; Able to prepare data pipelines and feature engineering pipelines to build robust models Combine ML Sciences depth, programming expertise and mathematical understanding of techniques to deliver state-of-the-art ML solutions for problem solving across Healthcare domain Drives selction of methods and techniques to drive solutions Demonstrate strong program management to be able to multi-task effectively Be able to mentor & lead junior data scientists effectively Contribute to peer reviews, team learning, meeting product objectives and develop best practices for the organization Strong experience in LLM Systems and LLMOps. Prior experience with Prompt Engineering and RAG systems About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

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

Bangalore,Karnataka,India Job ID 766481 Join our Team About this Opportunity The complexity of running and optimizing the next generation of wireless networks, such as 5G with distributed edge compute, will require Machine Learning (ML) and Artificial Intelligence (AI) technologies. Ericsson is setting up an AI Accelerator Hub in India to fast-track our strategy execution, using Machine Intelligence (MI) to drive thought leadership, automate, and transform Ericsson’s offerings and operations. We collaborate with academia and industry to develop state-of-the-art solutions that simplify and automate processes, creating new value through data insights. What you will do As a Senior Data Scientist, you will apply your knowledge of data science and ML tools backed with strong programming skills to solve real-world problems. Responsibilities: 1. Lead AI/ML features/capabilities in product/business areas 2. Define business metrics of success for AI/ML projects and translate them into model metrics 3. Lead end-to-end development and deployment of Generative AI solutions for enterprise use cases 4. Design and implement architectures for vector search, embedding models, and RAG systems 5. Fine-tune and evaluate large language models (LLMs) for domain-specific tasks 6. Collaborate with stakeholders to translate vague problems into concrete Generative AI use cases 7. Develop and deploy generative AI solutions using AWS services such as SageMaker, Bedrock, and other AWS AI tools. Provide technical expertise and guidance on implementing GenAI models and best practices within the AWS ecosystem. 8. Develop secure, scalable, and production-grade AI pipelines 9. Ensure ethical and responsible AI practices 10. Mentor junior team members in GenAI frameworks and best practices 11. Stay current with research and industry trends in Generative AI and apply cutting-edge techniques 12. Contribute to internal AI governance, tooling frameworks, and reusable components 13. Work with large datasets including petabytes of 4G/5G networks and IoT data 14. Propose/select/test predictive models and other ML systems 15. Define visualization and dashboarding requirements with business stakeholders 16. Build proof-of-concepts for business opportunities using AI/ML 17. Lead functional and technical analysis to define AI/ML-driven business opportunities 18. Work with multiple data sources and apply the right feature engineering to AI models 19. Lead studies and creative usage of new/existing data sources What you will bring Required Experience - min 7 years 1. Bachelors/Masters/Ph.D. in Computer Science, Data Science, AI, ML, Electrical Engineering, or related disciplines from reputed institutes 2. 3+ years of applied ML/AI production-level experience 3. Strong programming skills (R/Python) 4. Proven ability to lead AI/ML projects end-to-end 5. Strong grounding in mathematics, probability, and statistics 6. Hands-on experience with data analysis, visualization techniques, and ML frameworks (Python, R, H2O, Keras, TensorFlow, Spark ML) 7. Experience with semi-structured/unstructured data for AI/ML models 8. Strong understanding of building AI models using Deep Neural Networks 9. Experience with Big Data technologies (Hadoop, Cassandra) 10. Ability to source and combine data from multiple sources for ML models Preferred Qualifications: 1. Good communication skills in English 2. Certifying MI MOOCs, a plus 3. Domain knowledge in Telecommunication/IoT, a plus 4. Experience with data visualization and dashboard creation, a plus 5. Knowledge of Cognitive models, a plus 6. Experience in partnering and collaborative co-creation in a global matrix organization. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?

Job Description Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth and expense reduction in partnership with the businesses. The role of C12 (Individual Contributor) AVP is within Fraud Analytics team in Citi AIM. The primary area of focus for this position is to analyze transaction data, understand fraud pattern , develop fraud loss mitigation strategies with the objective of overall business goal of minimizing fraud losses as well as minimizing customer impact. The person will also be responsible for monitoring strategy performance, collaborate with strategy implementation team for strategy implementation, proactively come up with fraud loss mitigation measure leveraging new data sources, advanced analytics techniques wherever applicable. Job Description Summary: The individual is expected to be hands-on with analysis on regular and / or ad hoc basis, extract different data sources not only limited to transactions depending upon business objective, generate fraud risk insights , recommend business solution as well as regular monitoring of strategy performance , optimize existing rules to improve rule performance. The individual should be able to work on Logistic Regression/ ML Model development irrespective of development environment regardless of the programming language, provide thought leadership for all data solution that includes designing, developing and implementing Machine Learning solutions Individual should be able to have a holistic view of different retail banking products, best practices and integrating analytical thinking and knowledge of business along with data analysis tools and methodologies to develop client centric solutions and recommendations. Analytics experience preferably in BFSI domain with proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling.Comfortable in decision tree (CHAID/CART), Logistic Regression, exploratory data analysis. Strong in SAS,SQL,Hive,Impala and Excel. Knowledge in Python is desirable. Prior experience in Fraud Analytics is preferrable. Knowledge in Tableau or any other data visualization tool is preferrable. Experience in stakeholder management across various functions and regions. Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies and communicate clearly and effectively to business partners and senior leaders. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Presentation Skills : Delivering clean and clear presentations to share the thoughts, the solutions or the problem for business stakeholders and senior management. Project Management – Should have skillset to manage project in terms of creating project plan, assigning responsibilities amongst junior team members, and completion of projects in timely fashion and escalating managing and reporting control issues with transparency. Own and deliver multiple and complex analytic projects. This would require an understanding of business context, conversion of business problems in business solutions and/or modeling and implementing such solutions to create economic value. The individual is expected to support regulatory/audit activities and /or other risk and control activities whenever needed. Qualifications: 8+ years of analytics experience including model development, prior experience in Fraud analytics preferrable Good knowledge of Python, SQL, and Big Data. Working knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.) Advanced analytical and business strategy skills Effective communication skills Ability to present to business partners and/or leaders to gain approvals. Project and process management skills Excellent written and verbal communications skill Experience with a prior focus in financial services analytics. Solid organizational skills and ability to manage multiple projects at one time. Self-starter who also has a demonstrated ability to work successfully in team environment and drive. Education: Bachelors/University degree or equivalent experience. Master’s degree is preferable. - Job Family Group: Decision Management - Job Family: Specialized Analytics (Data Science/Computational Statistics) - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Company Description Every day, thousands of patients across India face delays, stress, and reduced quality of care due to cumbersome administrative processes and insurance claim challenges. At Vitraya, we directly confront these issues by using advanced AI to streamline healthcare operations, eliminate administrative friction, and ensure healthcare providers can fully focus on patient outcomes. Role Description This is a full-time role for a Senior Fullstack AI/ML Engineer. The selected candidate will be responsible for designing, developing, and implementing AI and machine learning models, with a focus on pattern recognition and neural networks. Daily tasks include coding and software development, data analysis, and improving existing algorithms. The Senior Fullstack AI/ML Engineer will work closely with cross-functional teams to ensure the integration of AI solutions into the claims settlement process. We are looking for a passionate Senior AI/ML Engineer committed to building transformative solutions that positively impact patient care and healthcare delivery. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Why Join Us: Direct Patient Impact: Your contributions will significantly enhance patient care quality and reduce administrative burdens on healthcare providers. Innovation with Real Outcomes: Be part of pioneering AI applications that provide tangible, measurable improvements in healthcare. Professional Growth: Tackle unique, meaningful challenges that will sharpen your skills and offer growth in a supportive, collaborative environment. Empowered Team: Enjoy autonomy, flexibility, and the chance to influence core product decisions as part of a dedicated, mission-driven team. Required Skills & Qualifications • Experience: 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. • AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. • Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. • Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. • Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. • Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. • MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring. • Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. -Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. -Optimizing existing generative AI models for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Show more Show less

Artificial Intelligence & Machine Learning Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH is a forward-thinking edtech startup offering project-driven virtual internships that prepare students for today’s competitive tech landscape. Our AI & ML Internship is designed to immerse you in real-world applications of machine learning and artificial intelligence, helping you develop job-ready skills through hands-on projects. 🚀 Internship Overview As an AI & ML Intern , you will explore machine learning algorithms, build predictive models, and work on projects that mimic real-world use cases—ranging from recommendation systems to AI-based automation tools. You’ll gain experience with Python, Scikit-learn, TensorFlow , and more. 🔧 Key Responsibilities Work on datasets to clean, preprocess, and prepare for model training Implement machine learning algorithms (regression, classification, clustering, etc.) Build and test models using Scikit-learn, TensorFlow, Keras , or PyTorch Analyze model performance and optimize using evaluation metrics Collaborate with mentors to develop AI solutions for business or academic use cases Present findings and document all steps of the model-building process ✅ Qualifications Pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, or related fields Proficient in Python and familiar with data science libraries (NumPy, Pandas, Matplotlib) Basic understanding of machine learning concepts and algorithms Experience with tools like Jupyter Notebook , Google Colab , or similar platforms Strong analytical mindset and interest in solving real-world problems using AI Enthusiastic about learning and exploring new technologies 🎓 What You’ll Gain Hands-on experience with real-world AI and ML projects Exposure to end-to-end model development workflows A strong project portfolio to showcase your skills Internship Certificate upon successful completion Letter of Recommendation for high-performing interns Opportunity for a Full-Time Offer based on performance Show more Show less

About Client Our client is a market-leading company with over 30 years of experience in the industry. As one of the world’s leading professional services firms, with $19.7B, with 333,640 associates worldwide, helping their clients modernize technology, reimagine processes, and transform experiences, enabling them to remain competitive in our fast-paced world. Their Specialties in Intelligent Process Automation, Digital Engineering, Industry & Platform Solutions, Internet of Things, Artificial Intelligence, Cloud, Data, Healthcare, Banking, Finance, Fintech, Manufacturing, Retail, Technology, and Salesforce Hi....! We are hiring for below Positions Job Title: AI/ML Developer Key Skills: AI/ML , Deep Learning , Machine Learning, Gen AI , Python, Image Processing , Computer Vision Job Locations: Hyderabad Experience: 5 – 10 Years Budget: 13 – 15LPA Education Qualification : Any Graduation Work Mode: Hybrid Employment Type: Contract Notice Period: Immediate - 15 Days Interview Mode: 2 Rounds of Technical Interview + Including Client round Job Description: Key Focus Areas: Image Analytics & Computer Vision (CV) Machine Learning & Deep Learning Predictive Analytics & Optimization Generative AI (GenAI) & NLP (as secondary skills) Primary Responsibilities: Lead and contribute to projects centered around image analytics, computer vision , and visual data processing . Develop and deploy CV models for tasks such as object detection, image classification, pattern recognition, and anomaly detection. Apply deep learning frameworks (e.g., TensorFlow, Keras) to solve complex visual data challenges. Integrate multi-sensor data fusion and multivariate analysis for industrial applications. Collaborate with cross-functional teams to implement predictive maintenance , fault detection , and process monitoring solutions using visual and sensor data. Mandatory Skills: Strong hands-on experience in Computer Vision and Image Analytics . Proficiency in Python and familiarity with AI/ML libraries such as OpenCV, TensorFlow, Keras, scikit-learn, and Matplotlib. Solid understanding of machine learning techniques : classification, regression, clustering, anomaly detection, etc. Experience with deep learning architectures (CNNs, autoencoders, etc.) for image-based applications. Familiarity with Generative AI and LLMs is a plus. Desirable Skills: Knowledge of optimization techniques and simulation modeling . Domain experience in Oil & Gas, Desalination, Motors & Pumps, or Industrial Systems . Educational & Professional Background: Bachelor’s or Master’s degree in Engineering (Mechanical, Electrical, Electronics, Chemical preferred). Master’s in Industrial/Manufacturing/Production Engineering is a strong plus. Demonstrated experience in solving real-world industrial problems using data-driven approaches. Soft Skills & Attributes: Strong analytical and problem-solving skills. Ability to work independently and manage multiple projects. Excellent communication and stakeholder engagement skills. Proven thought leadership and innovation in AI/ML applications. Interested Candidates please share your CV to sushma.n@people-prime.com Show more Show less

Greetings from Colan Infotech!! Role - Data Scientist Experience - 3+ Years Job Location - Chennai/Bangalore Notice Period - Immediate to 30 Days Primary Skills Needed : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM Secondary Skills Needed : Keras, OpenCV, Azure or AWS Job Description:- Practical knowledge and working experience on Statistics and Operation Research methods. Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j. Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc. Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models. Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database. Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS Comprehend business issues and propose valuable business solutions. Design Factual or AI/profound learning models to address business issues. Design Statistical Models/ML/DL models and deploy them for production. Formulate what information is accessible from where and how to augment it. Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j Show more Show less

E2M is not your regular digital marketing firm. We're an equal opportunity provider, founded on strong business ethics and driven by more than 300 experienced professionals. Our client base is made up of digital agencies that rely on us to solve bandwidth issues, reduce overheads, and boost profitability. We need driven, tech-savvy professionals like you to help us deliver next-gen solutions. If you're someone who dreams big and thrives in innovation, E2M has a place for you. Role Overview As an Python Developer – AI Implementation Specialist/AI Executor , you will be responsible for designing and integrating AI capabilities into production systems using Python and key ML libraries. This role requires a strong backend development foundation and a proven track record of deploying AI use cases using tools like TensorFlow, Keras, or OpenAI APIs. You'll work cross-functionally to deliver scalable AI-driven solutions. Key Responsibilities Design and develop backend solutions using Python, with a focus on AI-driven features. Implement and integrate AI/ML models using tools like OpenAI, Hugging Face, or Lang Chain. Use core Python libraries (NumPy, Pandas, TensorFlow, Keras) to process data, train, or implement models. Translate business needs into AI use cases and deliver working solutions. Collaborate with product, engineering, and data teams to define integration workflows. Develop REST APIs and micro services to deploy AI components within applications. Maintain and optimize AI systems for scalability, performance, and reliability. Keep pace with advancements in the AI/ML landscape and evaluate tools for continuous improvement. Required Skills & Qualifications Minimum 5+ years of overall experience, including at least 1 year in AI/ML integration and strong hands-on expertise in Python for backend development. Proficiency in libraries such as NumPy, Pandas, TensorFlow, and Keras Practical exposure to AI platforms/APIs (e.g., OpenAI, LangChain, Hugging Face) Solid understanding of REST APIs, microservices, and integration practices Ability to work independently in a remote setup with strong communication and ownership Excellent problem-solving and debugging capabilities Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description DATA SCIENTIST Job Summary This Data Scientist creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects. Responsibilities Defines key data sources from UPS and external sources to deliver models. Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems. For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts. Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs. Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives. Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling. Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders. Presents operationalized analytic findings and provides recommendations. Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction. Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions. Qualifications Expertise in R, SQL, Python and/or any other high-level languages. Exploratory data analysis (EDA), data engineering and development of advanced analytics models. Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras. Experience applying models from small to medium scaled problems. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach. Expertise with statistical techniques, machine learning, and/or operations research and their application in business. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production. Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows. Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains. Familiarity with Java or C++ is a plus. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Last Day Posted - 2/25/2024 Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Fiche De Poste DATA SCIENTIST Job Summary This Data Scientist creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects. Responsibilities Defines key data sources from UPS and external sources to deliver models. Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems. For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts. Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs. Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives. Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling. Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders. Presents operationalized analytic findings and provides recommendations. Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction. Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions. Qualifications Expertise in R, SQL, Python and/or any other high-level languages. Exploratory data analysis (EDA), data engineering and development of advanced analytics models. Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras. Experience applying models from small to medium scaled problems. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach. Expertise with statistical techniques, machine learning, and/or operations research and their application in business. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production. Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows. Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains. Familiarity with Java or C++ is a plus. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Last Day Posted - 2/25/2024 Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description DATA SCIENTIST Job Summary This Data Scientist creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects. Responsibilities Defines key data sources from UPS and external sources to deliver models. Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems. For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts. Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs. Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives. Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling. Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders. Presents operationalized analytic findings and provides recommendations. Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction. Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions. Qualifications Expertise in R, SQL, Python and/or any other high-level languages. Exploratory data analysis (EDA), data engineering and development of advanced analytics models. Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras. Experience applying models from small to medium scaled problems. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach. Expertise with statistical techniques, machine learning, and/or operations research and their application in business. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production. Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows. Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains. Familiarity with Java or C++ is a plus. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Last Day Posted - 2/25/2024 Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less