1640 Keras Jobs - Page 28

Overall 5+ years of experience Working experience in engineering , building ML applications in Python and deploying AIML models in production Familiarity with Developer Tools, CICD (Jenkins, Ansible, Shellscript), Github / Bitbucket etc. Preferred experience in Generative AI, Large Language models and related concepts - GPTs, BERT, NLP, RAGetc. Preferred experience with public cloud AIML services such as Azure OpenAI Mandatory Skills: Generative AI. Experience5-8 Years.

Role Purpose Mandatory Skills: Gen AI, LLM, RAG, Lang chain, Mistral,Llama, Vector DB, Azure/GCP/ Lambda, Python, Tensorflow, Pytorch Preferred Skills GPT-4, NumPy, Pandas, Keras, Databricks, Pinecone/Chroma/Weaviate, Scale/Labelbox, We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework. Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various GenAI base models Design and develop prompts suiting project needs Stakeholder management across business and domains as required for the projects Evaluating base models and benchmarking performance Implement prompt guardrails to prevent attacks like prompt injection, jail braking and prompt leaking Develop, deploy and maintain auto prompt solutions Design and implement minimum design standards for every use case involving prompt engineering You will be responsible for training the machine learning and deep learning model. Writing reusable, testable, and efficient code using Python Design and implementation of low-latency, high-availability, and performant applications Implementation of security and data protection Integration of data storage solutions and API Gateways Production change deployment and related support Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

RESPONSIBILITIES Layout, positions, aligns and fits components together using applicable machines, tools and equipment. Bolt, clamp and tack weld parts to secure them in position for final welding. Welding programming on CNC as per the drawing. Select consumables as per the WPS / Work Order details Prior to start welding, check and calibration status of machines and ovens Pre- heat as required by the procedure Start welding and monitor each pass for the welding quality Check and maintain inter-pass temperature as per procedure Record all details required as per the procedure in respective format Record / identify / communicate, in case any NCR noticed Identify the items as required by the procedure Follow safety instructions and notify, if any unsafe conditions noticed. Move all the welded items to PWHT and follow PWHT Procedure Suggest for the improvements through CAR / PAR EDUCATION, EXPERIENCE AND FUNCTIONAL COMPETENCIES ITI / Diploma in welding / cladding with 2-3 years experience. Work experience in operating Automatic Cladding machine Must have experience in SMAW and GTAW welding Must have strong understanding of how to interpret and use drawings, Welding specifications and welding procedure. Must be able use and read welding measuring devices. Must be able to write program for the welding on auto welding Must be familiar with operation of auto Tig machine, Welding torches and accessories Must have experience in welding of oil and gas industry items. Ability to produce quality welds. Ability to visually inspect the weld Ability to analyze the defects and act on elimination of those. Ability to perform repair welds as per the procedure. BEHAVIORAL COMPETENCIES Interest to learn and adopt changes Work with team Contribute to improvements

Job Summary We are seeking a highly motivated AI/ML Engineer to design, develop, and deploy machine learning solutions that solve real-world problems. The ideal candidate should have strong foundations in machine learning algorithms , Python programming , and experience with model development , data pipelines , and production deployment in cloud or on-prem environments. Key Responsibilities Design and implement machine learning models and AI solutions for business use cases Build and optimize data preprocessing pipelines for training and inference Train, evaluate, and fine-tune supervised, unsupervised, and deep learning models Collaborate with data engineers, product teams, and software developers Deploy ML models into production using APIs, Docker, or cloud-native tools Monitor model performance and retrain/update models as needed Document model architectures, experiments, and performance metrics Research and stay updated on new AI/ML trends and tools Required Skills And Experience Strong programming skills in Python (NumPy, Pandas, Scikit-learn, etc.) Experience with deep learning frameworks like TensorFlow, Keras, or PyTorch Solid understanding of machine learning algorithms, data structures, and statistics Experience with NLP, computer vision, or time series analysis is a plus Familiarity with tools like Jupyter, MLflow, or Weights & Biases Understanding of Docker, Git, and RESTful APIs Experience with cloud platforms such as AWS, GCP, or Azure Strong problem-solving and communication skills Nice To Have Experience with MLOps tools and concepts (CI/CD for ML, model monitoring) Familiarity with big data tools (Spark, Hadoop) Knowledge of FastAPI, Flask, or Streamlit for ML API development Understanding of transformer models (e.g., BERT, GPT) or LLM integration  Education Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field Certifications in Machine Learning/AI (e.g., Google ML Engineer, AWS ML Specialty) are a plus

About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes Job Title: – Assistant Manager - Technology Location: Remote Function/Department: Platform Engineering Position Summary The Technical Lead with 6-8 years of experience will oversee the development, maintenance, and optimization of software applications. This role requires a deep understanding of both front-end and back-end technologies with MERN stack and leadership skills to mentor and guide a team of developers. The ideal candidate should be passionate about technology, thrive in a collaborative environment, and has a proven track record of delivering high-quality software solutions. Responsibilities Lead the design, development, and deployment of large scale software applications using the MERN stack. Collaborate with product managers, architects and other stakeholders to understand requirements and translate into technical specifications. Provide technical guidance and mentor the team. Create and own High-Level Design, Low Level Design for each of the Software applications. Perform code reviews, maintain code quality, standard and provide constructive feedback to team members. Troubleshoot complex technical issues. Manage project timelines and deliverables. Learn, acquire, and get certified on new technologies as demanded by project Any exposure and experience in AI, ML and Data Science will be of additional advantage. Required Skills Strong proficiency in design, development, maintenance, and support of software applications with proven experience in Node.js React.js (having knowledge of Angular will be an additional advantage) RDMS (Oracle/SQL Server/Postgres) SQL NoSQL databases like Mongo Proficiency in front-end technologies such as HTML, CSS and JavaScript. Experience in Open-Source Technologies. Preferable: Knowledge of database management tools like Liquibase / Hibernate Well-versed in Devops (e.g. Azure DevOps) and cloud PaaS. Cloud-based (AWS/Azure) deployment of models, performance monitoring and troubleshooting Familiarity with Docker and Git Good understanding of coding standards, ability to debug. Excellent written and oral communication skills Ability to work effectively in a cross-functional team and proven ability to lead and mentor a team. Added advantage: Exposure to AI/ML frameworks in Keras, Pytorch, libraries scikit-learn Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles POSITION SPECIFICATIONS Bachelor’s degree in computer science, Information Technology, Electronics Communication. Other branches of engineering with proven skills through past experience / projects can also apply. ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Job Description A Data Science Trainer is a professional who designs and delivers training programs to educate individuals and teams on data science concepts and techniques. They are responsible for creating and delivering engaging and effective training content that helps learners develop their data science skills. Responsibilities Design and develop training programs and curriculum for data science concepts and techniques Deliver training sessions to individuals and teams, both in-person and online Create and manage training materials such as presentations, tutorials, and exercises Monitor and evaluate the effectiveness of training programs Continuously update training materials and curriculum to reflect the latest trends and best practices in data science Provide one-on-one coaching and mentoring to learners Requirements A degree in a relevant field such as computer science, data science, statistics, or mathematics Strong understanding of data science concepts and techniques Experience with programming languages such as Python, R and SQL Strong presentation and communication skills Experience in training and/or teaching Experience with data visualization tools such as Tableau, Power BI or Matplotlib is a plus Knowledge of data science platform such as Scikit-learn, Tensorflow, Keras etc. is a plus. The role of a data science trainer requires a person who is passionate about teaching, has a solid understanding of data science and has the ability to adapt to the needs of the learners. They must be able to deliver training programs in an engaging and effective way, and must be able to continuously update the training materials to reflect the latest trends and best practices in data science. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Schedule: Day shift Education: Master's (Preferred) Experience: Data scientist: 2 years (Preferred) Work Location: In person Expected Start Date: 01/07/2025

Director, Data Insights & Automation Statistics & Data Corporation (SDC), a specialized contract research organization (CRO) headquartered in Arizona, delivering top-tier clinical trial services to pharmaceutical, biologic, and medical device/diagnostic companies since 2005. SDC providing a technology enabled service offering to provide clients with both clinical services expertise, as well as the technology they need to be successful in their clinical trials. Job Summary Direct the development and maintenance of the required systems, infrastructure, and personnel to enable reliable, cost effective, automation and machine learning solutions available within SDC and to external partners and clients. Ensure systems and applications have appropriate validation documentation in place according to standard operating procedures. Maintain portfolio of requested and completed applications, including metrics around resource needs (internal and external to DI&A), and intended goal of the application to enable discussion around prioritization. Develop agile development practices on large initiatives to ensure alignment with the specific company goals. Participate in the identification of cross department company goals and initiatives. Oversee the continued effort to clean, process, store and analyze clinical data with its application towards research and development of Artificial Intelligence (AI) and Machine Learning (ML) algorithms supporting better understanding of the safety and efficacy of new therapies. Contribute to the organization’s strong drive to be at forefront of using AI in clinical trials to simplify data processing and discover imperceptible correlations. Lead and manage software development activities to drive automation across SDC departments reducing error and increasing efficiency across those departments. Serve as the primary point within the company driving standardization. Primary Responsibilities Oversee day to data activities involving data science, data engineering, automation, and business intelligence Develop standard metrics demonstrating model performance, robustness, and validity Engage with various internal departments such as data management, technology solutions, biostatistics, statistical programming, project management, IT, and business development to strategically identify areas to apply AI and/or ML toward increasing the efficiency of processes and detecting information trends Ensure that algorithms can be practically deployed with minimal resource usage and maximum ease of use in existing architecture Oversee the delivery of high-quality software design documentation Develop ML models which autonomously identify inconsistent information in patient data and discover the correlations between patient data and medically relevant conditions such as a specific adverse event or high efficaciousness Prototype new ideas/technologies to create proof of concept and demos Develop standard operating procedures for the use of artificial intelligence within clinical trials Develop and communicate roadmap of activities and updates quarterly to executive management Ensure timelines and delivery are met and raise issues early for any risks Perform other related duties incidental to the work described herein Adherence to all essential systems and processes that are required at SDC to maintain compliance to business and regulatory requirements The above statements describe the general nature and level of work being performed by individuals assigned to this classification. This document is not intended to be an exhaustive list of all responsibilities and duties required of personnel so classified. Requirements Required Skills Experience with an AI framework such as: Tensorflow, MXNet, Theano, Keras, Pytorch, Caffe Experience in Python Experience in the software development process: Evidence of delivering production level code Familiarity with AI algorithms for problems, including natural language processing, classification, clustering, dimensionality reduction, anomaly detection Experience in applying AI to biomedical data analysis preferred Ability to develop and deliver presentations Ability to communicate effectively in writing and verbally Ability to identify issues, present problems, and implement solutions Capability of communicating technical concepts clearly, concisely, and understandably to non-technical colleagues Good leadership, organizational and time management skills, with the ability to multi-task Strong interpersonal communication and presentation skills Education or Equivalent Experience A Master’s degree in information and data science, operations research, mathematics, statistics, computer science or other related field, with focus in artificial intelligence preferred, and at least 7+ years of relevant professional experience or a Bachelor’s degree with 10+ years of relevant professional experience Benefits Why SDC SDC is a team of diversified professionals who deliver exceptional Biometric Services, Consulting, and Technology Solutions to pharmaceutical, biologic, and medical device/diagnostic companies. Since 2005 our purpose has been to partner with sponsors to provide high quality and experienced team members to develop great medicines that save lives and cure diseases in the most efficient manner possible. Our global team operates as a value partner to our clients by fulfilling their needs as our own and delivering exceptional results. We are a specialty CRO in that we provide scalable service offerings, focused services area specialists, efficient project timelines, optimal technology solutions, and proven success and experience. Our commitment to our clients is the same commitment to our employees. By offering strong benefits including competitive pay, generous time off, attainable career advances and positive work/life balance, we are able to attract some of the most talented people in the industry. We are committed to developing our employees. We recognize achievements, provide growth opportunities and career advancement, offer a flexible work schedule, engaging work culture and employee benefits. We are passionate about our company culture. Our recognition program is directly tied to our core values of Energy, Integrity, Engagement, Innovation, Ownership, and Commitment. We strive to provide a place of belonging to our employees with fun and engaging activities from SDC’s culture club. We are constantly growing and innovating to support our client and employee needs. Global in nature, we bring diverse perspectives enabling our growth in this ever-evolving industry. With a proven track record, SDC has been successfully executing client clinical programs since 2005. Take a look at how you can join our team! #LI-Hybrid

About the Job: The Data Development, Insights & Strategy team is a highly focused effort to use the combination of our product fleet data, our business and sales data to provide strategic insight and act on the moments that matter in near real time to both drive meaningful customer interactions, product evolution, modernize/drive our business systems and identifying opportunities to maximize our understanding and execution of product & business models which in turn maximize our ability to successfully capture our market opportunity. We are seeking a technically minded, detail oriented and creative Senior Data Scientist focused on natural language processing, machine learning & data analytics to join our team. The ideal candidate will be passionate about creating and developing applications, particularly within the language sector, and have excellent analytical and machine learning knowledge. The focus of the role will be to transform natural language data and requests into creative and interactive features part of our finance & operations business. If you want to build Next generation AI/ML applications, if you have rock-solid development skills, if you thrive in a start-up like environment, if you think outside of the box and love working in a team with similar minded engineers, if you are creative and want to help solve real world customer problems and love presenting innovative solutions, if you believe in community and OpenSource development culture then we are the TEAM for you. In this role, you will be the voice of Red Hat's technical authority, creating and delivering features/ capabilities that helps Red Hats data community and in turn our customers achieve their business and technical goals with Red Hat products effectively. You will work collaboratively with members of DDIS, finance, operations, sales, marketing, and product to construct fit for purpose analytical solutions that will be leveraged by business teams to drive proactive customer engagement. The successful candidate will have a track record of strong technical skills, drive to be innovative & creative, excellent communication and collaboration skills, a keen attention to detail, and a passion for quality and open source software. If you enjoy broadening your technical skills, and working in an environment that thrives on creativity, experimentation, and community innovation, then this is the job for you! What will you do Collaborate with a small, agile team to research and implement effective NLP algorithms and tools. Contribute to the design, development, and delivery of NLP applications from concept to production. Analyze data science prototypes and ensure they meet business requirements. Ensure the successful training and evaluation of NLP models, refining them based on statistical analysis. Collaborate with cross-functional teams, including finance, operations, sales, and marketing, to understand and meet business needs. What will you bring 5+ years of professional experience in NLP using Python, with knowledge of Spacy and Hugging Face. Strong understanding of NLP techniques and experience in Generative AI application development. Familiarity with machine learning frameworks, including TensorFlow, Keras, and PyTorch. Experience in developing scalable backend microservices in AWS. Ability to translate complex data findings into actionable business insights. Comfortable working with a small team in a fast-paced, highly collaborative environment Experience with GenAI application development - LLMs, Embedding models, Vector Databases Keep up to date in the rapidly changing field of AI/ML by constantly researching and learning new techniques and information related to NLP. Bachelors degree or above in Computer Science, Math, Computational Linguistics, or other related fields. Demonstrated experience as an NLP, or experience in a similar role/industry Experience developing highly scalable backend microservices in AWS Personal qualities and communication Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling Communication skills and experience in interacting with cross functional business and engineering teams Capability in undertaking business needs analysis in direct consultation. Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change. Capability to develop a detailed understanding of our business requirements. Excellent communication, presentation, and writing skills About Red Hat Red Hat is the worlds leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hats culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com . General inquiries, such as those regarding the status of a job application, will not receive a reply.

S&C Global Network - AI - Retail - Consultant - AI Retail Product Specialist Management Level:09 - Consultant Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: Knowledge of retail industry trends, consumer behavior analytics, and emerging AI technologies in the retail sector. Develop and maintain AI models and algorithms that support inventory management, personalized shopping experiences, demand forecasting, pricing optimization, and customer segmentation. Creation of process flows and diagrams for merchants day in a life / Ability to interpret consumer behavior data and apply AI insights to optimize customer journeys, product recommendations, and personalized experiences. Leverage AI to enhance the customer experience by delivering personalized recommendations, improving product discovery, and enhancing omnichannel retail strategies. Good to have skills: Familiarity with Agile methodologies and product management processes. Ability to approach complex problems methodically, using AI and data-driven solutions to solve challenges in retail operations and customer experience. Constantly thinking about how to innovate using AI to improve retail products, services, and customer satisfaction. Experience with pre-built AI services from cloud providers (e.g., AWS AI services, Google AI, or Azure AI). Job Summary : The AI Retail Product Specialist is responsible for developing, implementing, and optimizing AI-powered solutions that enhance retail product strategies. This includes working closely with cross-functional teams, analyzing consumer behavior data, and driving product innovations using AI technologies. The specialist will leverage AI tools to improve customer personalization, inventory management, sales forecasting, and the overall shopping experience in retail settings. Roles & Responsibilities: Act as the bridge between business needs and technical solutions, overseeing the development and deployment of AI products. Define the AI product roadmap and ensure that AI-driven initiatives align with business objectives. Work with cross-functional teams to prioritize features and manage product releases. Collaborate with product managers, data scientists, and IT teams to design, implement, and refine AI-driven retail solutions. Focus on developing agentic experiences, where AI can assist or guide users through various tasks (e.g., chatbots, virtual assistants). Analyze large datasets to identify trends, patterns, and insights related to customer preferences, product demand, and shopping behavior. Monitor the performance of AI models and suggest data-driven improvements to enhance accuracy and effectiveness. Support decision-making by delivering actionable insights to stakeholders regarding product assortments, pricing strategies, and promotional activities. Stay up-to-date with the latest developments in AI technologies and retail industry trends. Recommend and implement best practices for AI-based product development and deployment in a retail environment. Professional & Technical Skills : Proficiency in programming languages such as Python, R, or SQL. Familiarity with AI frameworks and tools like TensorFlow, Keras, or PyTorch. Experience with data analysis and visualization tools (e.g., Tableau, Power BI, Excel). Additional Information: - (do not remove the hyperlink) Qualification Experience: Minimum 3 year(s) of experience is required Educational Qualification: Bachelor's degree in Computer Science, Data Science, Engineering, Business, or related field. Masters degree preferred.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Pune, Maharashtra, India . Minimum qualifications: Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 4 years of experience coding in a general purpose coding language or in system design, and troubleshooting and advocating for customers' needs, and triaging technical issues. 4 years of experience with 2 or more of the following: Web Tech, Data/Big Data, Systems Admin, Machine Learning, Networking, Kubernetes. Experience in Computer Networking (e.g., Firewalls, Routing, Load balancing, etc.), web technologies (e.g., HTTP, HTML, DNS, TCP, etc.). Experience in Artificial intelligence (AI) concepts and techniques. Experience with AI model trainings, performance analysis and integration with other Cloud services. Preferred qualifications: 2 years of experience in recommendation systems, NLP, speech recognition, or computer vision. Experience with exploratory data analysis, model development, auxiliary practical concerns in production ML systems. Experience in Generative AI understanding of Prompt Engineering, tokenization. Experience with public cloud services and infrastructure. Experience with troubleshooting ML models (e.g., Tensorflow, Keras, PyTorch). Experience with performance analysis of containerized systems, with understanding of underlying resources like Kubernetes, compute resources. Excellent leadership and influencing skills in AI/ML application, with the ability to lead the design and implementation of AI-based solutions, web services, and debugging tools. About the job The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate. As a Technical Solutions Engineer, you will be a part of a global team that provides support for customer issues. You will ensure we have the necessary tools, processes, and needed technical knowledge to resolve the issue. In this role, you will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation and when needed coding/scripting. You will make our products easier to adopt and use by making improvements to the products, tools, processes and documentation. You'll help drive the success of Google Cloud by understanding and advocating for our customer issues. You will work in a Shift Pattern or non-standard work hours as needed, including weekends. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Work with customers on their ML deployments to resolve issues, achieve production readiness, availability, and scale. Partner with Product and engineering teams to improve products based on customer feedback. Understand customer issues, advocate for their needs with internal teams, including product and engineering teams, to find ways to improve the product, fix product bugs, drive production. Manage customer problems through effective diagnosis, resolution, documentation, or implementation of investigation tools to increase productivity for customer issues on Google Cloud Platform products. Develop an understanding of Google Cloud’s AI/ML products/solutions and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools for faster diagnosis. Act as consultant and subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Role : Lead Artificial Intelligence (AI) We are on the hunt for a Lead Artificial Intelligence (AI) passionate about architecting, developing, and supporting advanced AI computing resources and AI-enabled services. Responsibilities The ideal candidate will lead the charge in implementing scalable, high-performance computing infrastructures for AI/ML, collaborating with cross-functional teams to bring innovative AI solutions from conception to & Responsibilities : Architect, design, and implement scalable AI/ML computing infrastructures and application stacks. Collaborate with project managers, analyst & business stakeholders to design and deploy AI solutions. Develop and demonstrate AI use-cases, conducting training sessions to foster AI adoption. Evaluate and implement best practices in AI/ML and analytics. Document architecture roadmaps, reference architectures, and standard operating procedures for AI solutions. Provide expert consultation on AI-related standards, best practices, and governance frameworks. Lead disaster recovery and business continuity planning for AI computing infrastructure. Stay updated with emerging technologies in AI and ML to enhance institutional Criteria : Masters degree in Computer Science or Data Science or Information Technology. 6+ years in high-level architecture design and solution development for large-scale AI/ML systems. Extensive experience with deep learning frameworks (e.g., TensorFlow, Keras, PyTorch), time series analysis, predictive modelling, and Skillsets : Expertise in predictive analytics, machine learning, deep learning architectures, and text analytics with NLP. Proficiency in Python for AI/ML; experience with graph databases, neural networks, and MLOps. Knowledge of high-performance AI computing platforms, Linux, and shell scripting in AI computing environments. Exceptional communication skills to articulate technical solutions to both technical and non-technical audiences. Strategic thinking in systems capacity planning, hardware and software updates, and migration. (ref:hirist.tech)

Key Responsibilities Model Design & Implementation : Architect and develop deep learning solutions (e.g., UNet, 3D CNN) for segmentation, classification, and anomaly detection in medical images. Data Coordination : Partner with hospitals and radiologists to source, preprocess, and annotate large-scale imaging datasets (e.g., DICOM)-ensuring high-quality training data. Architecture Evaluation : Tailor neural network architectures to specific imaging applications,optimize for performance and interpretability. Algorithm Optimization : Implement robust ML techniques for CT/MRI analysis, includingartifact correction, noise suppression, and feature extraction. Required Skills & Qualifications Experience : 5+ years in ML/deep learning model development at the enterprise level; 3+years focused on medical image analysis (CT, MRI, radiological imaging). Programming Skills : Expert in Python, including data and image processing libraries (NumPy,pandas, OpenCV), and segmentation workflows. DL Frameworks : Proficiency with PyTorch, TensorFlow, or Keras for model development an experimentation. (ref:hirist.tech)

JOB_POSTING-3-71839 Job Description Role Title: Manager - Advanced Insights & Analytics (L09) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by Ambition Box Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~51% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview The role is part of Collections & Recovery Analytics, supporting Collections, Recovery, and Servicing solutions . The team is focused on improving Collections, Recovery and Servicing Solutions performance, by building BI solutions to support Operations Leaders. This includes key performance indicators for cardholders and accounts, as well as metrics to support strategy development and execution. Role Summary/Purpose Design and develop business intelligence products using Tableau and perform detailed analysis on Collections & Recovery performance, Customer Service, Customer Solutions, and Fraud, using SQL/SAS and Python, so that leaders can make better & impactful decisions. A successful candidate must be intellectually curious, proactive, collaborative, driven, and communicative.Analytics projects will include, but shall not necessarily be limited to: Identifying and analyzing drivers of Servicing performance Leveraging advanced analytical techniques to build unique solutions that improve agent experience or improve business outcome Leveraging time series techniques to understand historical performance and predict future outcome. Developing and testing hypotheses using A/B tests and what-if scenarios This position is remote, where you have the option to work from home. On occasion we may request for you to commute to our nearest office for in person engagement activities such as team meetings, training and culture events. To ensure the safety of our colleagues and communities, we require employees who come together in-person to be fully vaccinated. We’re proud to offer you choice and flexibility. Key Responsibilities Champion Customers: Develop in depth data solutions that provide key business insights. Leverage data analytics to derive insights from customer behavior, customer experience and associate metrics to drive business actions Relate and Inspire: Collaborate with process owners across different teams in Servicing on analytical projects. Incorporate new data elements, sources and channels to help promote efficient and effective strategies and customer contact preferences Elevate Every Day : Execute projects under aggressive deadlines with limited guidance and direction from management. Act as Owners: Prepare and deliver presentations summarizing findings and recommendations; demonstrate an ability to communicate the same in technical and layman terms. Support loss/cost and sizing estimations to enable prioritization and demonstrate business benefit. Provide thought leadership, strategic and analytic support to the group through the utilization of data mining skills and business knowledge. Conduct ad-hoc analyses and reporting as needed. Develop process controls and produce documentation, as needed. Perform other duties and/or special projects as assigned. Qualifications/Requirements Bachelor's degree in STEM related fields, such as Engineering, Computer Science, Data Science, or Math with minimum 2-5 years of experience between performing analytics; OR in lieu of a degree, 4-7 years of experience between performing analytics. 2+ years of experience with BI applications; decision support systems, query and reporting, online analytical processing, statistical analysis, forecasting, data mining, and data visualization. 2+ years of experience with tools, facilities, and techniques for managing and administering data. 2+ years of experience with any analytical tool (e.g., SAS, Python, R, MATLAB, PyTorch, TensorFlow + Keras, AWS SageMaker, etc.). 2+ years of SQL/SAS experience. 2+ years of experience with Microsoft Office (Word, Excel, PowerPoint, and Visio). Desired Characteristics Capable and influential in delivering compelling advanced analytics solutions; capable of being proactive around the same and not just reactive. Ability to propose alternative data options; recommend, drive, and implement the most efficient solutions. 2+ years of experience in Data Science. Experience working with large volumes of data from multiple data sources, primarily Oracle and SQL Server; experience with PySpark or Spark to query data from Hadoop or Data Lake Excellent communication and collaboration skills; must be able to work with and communicate across many functional organizations. Ability to work collaboratively as well as independently. Knowledge of Financial Services Industry. Ability to think out-of-the-box and drive positive change and improvement. Work Timings This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying. Inform your Manager or HRM before applying for any role on Workday. Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (First Formal/Final Formal, PIP) Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. Level 7+ employees can apply Grade/Level: 09 Job Family Group Data Analytics

Job description Data Science SME Location Lower Parel, Mumbai (Onsite) US HOURS Job Requirements: • 6 to 7 years of experience manipulating data sets and building statistical and machine learning models. • Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field - Fluent English (written/spoken) • Experience Developing Machine Learning / Data Science models, from coding to deployment • 2+ years of experience in teaching or training. • 3+ Years of Hands-on Hybrid Development experience preferred. Skills • Able to train/mentor/coach in coding (mandatory python and SQL, java or C++) • Project Management background preferred. • Knowledge of the Consulting/Sales structure. • Empathy and service attitude • Fast-paced • Project Management experience • Desirable previous international experience (US, Canada, or Europe) • Leading consultants to grow and create tangible benefits and assets. • Competencies Mentor / Develop / Train consultants Orientation to results Leadership Main responsibilities of the position • Collecting data through means such as analyzing business results or by setting up and managing new studies • Transferring data into a new format to make it more appropriate for analysis • Build tools to automate data collection • Compare and analyze provided statistical information to identify patterns, relationships, and problems • Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering • Prepare detailed reports for management and other departments by analyzing and interpreting data • Train assistants and other members of the team how to properly organize findings and read data collected • Design computer code using various languages to improve and update software and applications • Refer to previous instances and findings to determine the ideal method for gathering data • Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering • Prepare detailed reports for management and other departments by analyzing and interpreting data • Train assistants and other members of the team how to properly organize findings and read data collected • Design computer code using various languages to improve and update software and applications • Refer to previous instances and findings to determine the ideal method for gathering data Desired Skills (Including but Not Limited to): • Knowledge in Deep Learning/Neural Networks techniques, specifically NLP (Natural Language Processing, Generative AI and Computer Vision • Python and SQL coding skills are indispensable • Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform • Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc. • Preferred- Experience creating Chatbots, and similar applications that use NLP. Object Character Recognition and Computer Vision projects like Face Recognition is a plus • Experience using statistical computer languages, including Python & SQL, R is a plus to manipulate data and draw insights from large data sets • Knowledge and experience in statistical and data mining techniques: GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. • Ability to compile and organize statistical information retrieved and present findings to management • Faculty to work toward multiple deadlines simultaneously • Strong problem-solving skills with an emphasis on product development. • Certification in a Cloud-Based/Machine Learning service desirable

Statistics & Data Corporation (SDC), a specialized contract research organization (CRO) headquartered in Arizona, delivering top-tier clinical trial services to pharmaceutical, biologic, and medical device/diagnostic companies since 2005. SDC providing a technology enabled service offering to provide clients with both clinical services expertise, as well as the technology they need to be successful in their clinical trials. Job Summary Direct the development and maintenance of the required systems, infrastructure, and personnel to enable reliable, cost effective, automation and machine learning solutions available within SDC and to external partners and clients. Ensure systems and applications have appropriate validation documentation in place according to standard operating procedures. Maintain portfolio of requested and completed applications, including metrics around resource needs (internal and external to DI&A), and intended goal of the application to enable discussion around prioritization. Develop agile development practices on large initiatives to ensure alignment with the specific company goals. Participate in the identification of cross department company goals and initiatives. Oversee the continued effort to clean, process, store and analyze clinical data with its application towards research and development of Artificial Intelligence (AI) and Machine Learning (ML) algorithms supporting better understanding of the safety and efficacy of new therapies. Contribute to the organization's strong drive to be at forefront of using AI in clinical trials to simplify data processing and discover imperceptible correlations. Lead and manage software development activities to drive automation across SDC departments reducing error and increasing efficiency across those departments. Serve as the primary point within the company driving standardization. Primary Responsibilities Oversee day to data activities involving data science, data engineering, automation, and business intelligence Develop standard metrics demonstrating model performance, robustness, and validity Engage with various internal departments such as data management, technology solutions, biostatistics, statistical programming, project management, IT, and business development to strategically identify areas to apply AI and/or ML toward increasing the efficiency of processes and detecting information trends Ensure that algorithms can be practically deployed with minimal resource usage and maximum ease of use in existing architecture Oversee the delivery of high-quality software design documentation Develop ML models which autonomously identify inconsistent information in patient data and discover the correlations between patient data and medically relevant conditions such as a specific adverse event or high efficaciousness Prototype new ideas/technologies to create proof of concept and demos Develop standard operating procedures for the use of artificial intelligence within clinical trials Develop and communicate roadmap of activities and updates quarterly to executive management Ensure timelines and delivery are met and raise issues early for any risks Perform other related duties incidental to the work described herein Adherence to all essential systems and processes that are required at SDC to maintain compliance to business and regulatory requirements The above statements describe the general nature and level of work being performed by individuals assigned to this classification. This document is not intended to be an exhaustive list of all responsibilities and duties required of personnel so classified. Requirements Required Skills Experience with an AI framework such as{​{:}} Tensorflow, MXNet, Theano, Keras, Pytorch, Caff e Experience in Pytho n Experience in the software development process{​{:}} Evidence of delivering production level co de Familiarity with AI algorithms for problems, including natural language processing, classification, clustering, dimensionality reduction, anomaly detecti on Experience in applying AI to biomedical data analysis preferr ed Ability to develop and deliver presentatio ns Ability to communicate effectively in writing and verbal ly Ability to identify issues, present problems, and implement solutio ns Capability of communicating technical concepts clearly, concisely, and understandably to non-technical colleagu es Good leadership, organizational and time management skills, with the ability to multi-ta sk Strong interpersonal communication and presentation skil lsEducation Or Equivalent Experien ce A Master's degree in information and data science, operations research, mathematics, statistics, computer science or other related field, with focus in artificial intelligence preferred, and at least 7+ years of relevant professional experience or a Bachelor's degree with 10+ years of relevant professional experien ceBenefi tsWhy S DCSDC is a team of diversified professionals who deliver exceptional Biometric Services, Consulting, and Technology Solutions to pharmaceutical, biologic, and medical device/diagnostic companies. Since 2005 our purpose has been to partner with sponsors to provide high quality and experienced team members to develop great medicines that save lives and cure diseases in the most efficient manner possible. Our global team operates as a value partner to our clients by fulfilling their needs as our own and delivering exceptional results. We are a specialty CRO in that we provide scalable service offerings, focused services area specialists, efficient project timelines, optimal technology solutions, and proven success and experience. Our commitment to our clients is the same commitment to our employees. By offering strong benefits including competitive pay, generous time off, attainable career advances and positive work/life balance, we are able to attract some of the most talented people in the industr y. We are committed to developing our employees. We recognize achievements, provide growth opportunities and career advancement, offer a flexible work schedule, engaging work culture and employee benefi ts We are passionate about our company culture. Our recognition program is directly tied to our core values of Energy, Integrity, Engagement, Innovation, Ownership, and Commitme nt We strive to provide a place of belonging to our employees with fun and engaging activities from SDC's culture cl ub We are constantly growing and innovating to support our client and employee needs. Global in nature, we bring diverse perspectives enabling our growth in this ever-evolving indust ry With a proven track record, SDC has been successfully executing client clinical programs since 20 05Take a look at how you can join our tea m!

AI/Machine Learning Engineer Skillsoft is the global leader in eLearning. Trusted by the world's leading organizations, including 65% of the Fortune 500. Our 100,000+ courses, videos and books are accessed over 100 million times every month, across more than 100 countries. At Skillsoft, we believe knowledge is the fuel for innovation and innovation is the fuel for business growth. Join us in our quest to democratize learning and help individuals unleash their edge. This role is for a junior to mid-level engineer. The successful candidate will work closely with more senior engineers who will mentor and guide them. You’ll dive into the heart of innovation, crafting intelligent systems that empower millions worldwide. From designing generative AI solutions to pioneering agentic workflows, you’ll collaborate with internal and external teams to transform knowledge into a catalyst for growth—unleashing your edge while helping others do the same. Responsibilities: Hands-on AI/ML software engineer Work with product owners and curators to understand requirements and guide new features Collaborate to identify new feature impacts on existing services and teams Research, prototype, and select appropriate COTS and in-house AI/ML technology and design Collaborate with team to design, develop, and maintain supporting systems Document designs and implementation to ensure consistency and alignment with standards Create documentation including system and sequence diagrams Create appropriate data pipelines for AI/ML Analyze, curate, cleanse, and split data Utilize and apply generative AI for products and for daily productivity Periodically explore new technologies and design patterns with proof-of-concept Participate in developing best practices and improving operational processes Present research and work to socialize and share knowledge across the organization Environment, Tools & Technologies: Agile/Scrum Operating Systems – Mac, Linux Python, JavaScript, Node.js PyTorch, Tensorflow, Keras, LLMs (OpenAI GPT-X, Claude, embedding models) Vector indexing/database, LangChain, AutoGen, RAG, Agents APIs GraphQL, REST Docker, Kubernetes Amazon Web Services (AWS), MS Azure OpenAI SQL (Postgres RDS/Aurora), NoSQL (Cassandra, Elasticsearch) Messaging – Kafka, RabbitMQ, SQS Monitoring – New Relic, Splunk GitHub, IDE (your choice) Skills & Qualifications: 2 years of relevant work experience and experience with generative AI and fine-tuning models Ability to design and document APIs, data models, service interactions Familiarity with and ability to explain: o testing strategies – unit, integration, system o system and API security techniques o data privacy concerns o microservices architecture o vertical vs horizontal scaling o Generative AI, NLP, DNN, LLMs, auto-encoders, etc. Attributes for Success: Proactive, Independent, Adaptable Collaborative team player Customer service minded with an ownership mindset Excellent analytic and communication skills Ability and desire to coach and mentor new and more junior developers Innovative and problem-solving mindset Passionate, curious, open to new ideas, and ability to research and learn new technologies

Who We Are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. See yourself at Twilio Join the team as Twilio’s next Staff Machine Learning Engineer. About The Job This position is needed to scope, design, and deploy machine learning systems into the real world, the individual will closely partner with Product & Engineering teams to execute the roadmap for Twilio’s AI/ML products and services. You will understand customers need, build data products that works at a global scale and own end-to-end execution of large scale ML solutions. To thrive in this role, you must have a deep background in ML engineering, and a consistent track record of solving data & machine-learning problems at scale. You are a self-starter, embody a growth attitude, and collaborate effectively across organization. Responsibilities In this role, you’ll: Build and maintain scalable machine learning solutions in production Train and validate both deep learning-based and statistical-based models considering use-case, complexity, performance, and robustness Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements and define the scope of the systems needed Work closely with data platform teams to build robust scalable batch and realtime data pipelines Collaborate with software engineers, build tools to enhance productivity and to ship and maintain ML models Drive high engineering standards on the team through mentoring and knowledge sharing Uphold engineering best practices around code reviews, automated testing and monitoring. Qualifications Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 7.5+ years of applied ML experience with proficiency in Python Strong background in the foundations of Machine Learning and building blocks of modern Deep Learning Track record of building, shipping and maintaining Machine Learning models in production in an ambiguous and fast paced environment. Track record of designing and architecting large scale experiments and analysis to inform product roadmap. You have a clear understanding of frameworks like - PyTorch, TensorFlow, or Keras, why and how these frameworks do what they do Familiarity with ML Ops concepts related to testing and maintaining models in production such as testing, retraining, and monitoring. Demonstrated ability to ramp up, understand, and operate effectively in new application / business domains. You’ve explored modern data storage, messaging, and processing tools (Kafka, Apache Spark, Hadoop, Presto, DynamoDB etc.) and demonstrated experience designing and coding in big-data components such as DynamoDB or similar Experience working in an agile team environment with changing priorities Experience of working on AWS. Desired Experience with Large Language Models. Location This role will be remote, and based in India . Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Who We Are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. See yourself at Twilio Join the team as our next Machine Learning Engineer. About The Job This position is needed to scope, design, and deploy machine learning systems into the real world, the individual will closely partner with Product & Engineering teams to execute the roadmap for Twilio’s AI/ML products and services. You will understand customers' needs, build data products that work at a global scale and own end-to-end execution of large scale ML solutions. To thrive in this role, you must have a deep background in ML engineering, and a consistent track record of solving data & machine-learning problems at scale. You are a self-starter, embody a growth attitude, and collaborate effectively across organizations. Responsibilities In this role, you’ll: Build algorithms based on statistical modeling procedures and maintain scalable machine learning solutions in production Transform data science prototypes and applying appropriate ML algorithms and tools Work closely with the ML Engineers, build tools to enhance their productivity and to ship and maintain ML models Conduct exploratory data analysis (EDA) on large-scale datasets to identify patterns and extract features that directly support the problem statement. Manage the infrastructure and data pipelines needed to bring code to production Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created Partner with product managers and architects to analyze business problems, clarify requirements and define the scope of the systems needed Use cloud platform AWS to handle larger scale data Support operational leaders by developing code to automate manual processes Drive high engineering standards on the team through code review, automated testing, and mentoring. Qualifications Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 2 - 5 years of applied ML experience in statistical and mathematical modeling such as supervised and unsupervised machine learning, deep learning Strong proficiency in Python to effectively analyze data and solve complex technical challenges. Track record of building, shipping and maintaining machine learning systems in a highly ambiguous and fast paced environment. You have a clear understanding of frameworks like - PyTorch, TensorFlow, or Keras, why and how these frameworks do what they do. Familiarity with concepts related to testing and maintaining models in production such as A/B testing, retraining, monitoring model performance You’ve explored modern data storage, messaging, and processing tools (Kafka, Apache Spark, Hadoop, Presto, DynamoDB etc.) and demonstrated experience designing and coding in big-data components such as DynamoDB or similar. Desired Experience with Large Language Models Location This role will be remote, and based in India . Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

We're seeking a Mid-Level Machine Learning Engineer to join our growing Data Science & Engineering team. In this role, you will design, develop, and deploy ML models that power our cutting-edge technologies like voice ordering, prediction algorithms and customer-facing analytics. You'll collaborate closely with data engineers, backend engineers, and product managers to take models from prototyping through to production, continuously improving accuracy, scalability, and maintainability. Essential Job Functions Model Development: Design and build next-generation ML models using advanced tools like PyTorch, Gemini, and Amazon SageMaker - primarily on Google Cloud or AWS platforms Feature Engineering: Build robust feature pipelines; extract, clean, and transform largescale transactional and behavioral data. Engineer features like time- based attributes, aggregated order metrics, categorical encodings (LabelEncoder, frequency encoding) Experimentation & Evaluation: Define metrics, run A/B tests, conduct cross-validation, and analyze model performance to guide iterative improvements. Train and tune regression models (XGBoost, LightGBM, scikit-learn, TensorFlow/Keras) to minimize MAE/RMSE and maximize R² Own the entire modeling lifecycle end-to-end, including feature creation, model development, testing, experimentation, monitoring, explainability, and model maintenance Monitoring & Maintenance: Implement logging, monitoring, and alerting for model drift and data-quality issues; schedule retraining workflows Collaboration & Mentorship: Collaborate closely with data science, engineering, and product teams to define, explore, and implement solutions to open-ended problems that advance the capabilities and applications of Checkmate, mentor junior engineers on best practices in ML engineering Documentation & Communication: Produce clear documentation of model architecture, data schemas, and operational procedures; present findings to technical and non-technical stakeholders Requirements Academics: Bachelors/Master's degree in Computer Science, Engineering, Statistics, or related field Experience: 5+ years of industry experience (or 1+ year post-PhD). Building and deploying advanced machine learning models that drive business impact Proven experience shipping production-grade ML models and optimization systems, including expertise in experimentation and evaluation techniques. Hands-on experience building and maintaining scalable backend systems and ML inference pipelines for real-time or batch prediction Programming & Tools: Proficient in Python and libraries such as pandas, NumPy, scikit-learn; familiarity with TensorFlow or PyTorch. Hands-on with at least one cloud ML platform (AWS SageMaker, Google Vertex AI, or Azure ML). Data Engineering: Hands-on experience with SQL and NoSQL databases; comfortable working with Spark or similar distributed frameworks. Strong foundation in statistics, probability, and ML algorithms like XGBoost/LightGBM; ability to interpret model outputs and optimize for business metrics. Experience with categorical encoding strategies and feature selection. Solid understanding of regression metrics (MAE, RMSE, R²) and hyperparameter tuning. Cloud & DevOps: Proven skills deploying ML solutions in AWS, GCP, or Azure; knowledge of Docker, Kubernetes, and CI/CD pipelines Collaboration: Excellent communication skills; ability to translate complex technical concepts into clear, actionable insights Working Terms: Candidates must be flexible and work during US hours at least until 6 p.m. ET in the USA, which is essential for this role & must also have their own system/work setup for remote work

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 : NAMinimum 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 (exampleAWS, 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. Qualification 15 years full time education

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 : NAMinimum 5 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 (exampleAWS, 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. Qualification 15 years full time education

Requisition Id : 1620337 As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we don't just focus on who you are now, but who you can become. We believe that it’s your career and ‘It’s yours to build’ which means potential here is limitless and we'll provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self. The opportunity : Consultant-National-Tax-TAX - Indirect Tax - Indirect Tax Global Trade - Gurgaon TAX - Indirect Tax - Indirect Tax Global Trade : Our globally connected tax professionals offer associated services across all tax disciplines to help the clients prosper in an era of rapid change. We combine our exceptional knowledge and experience with the people and technology platforms to equip clients in making better business decisions by bringing insights to the forefront. We help companies recognize the tax policies and tax laws of governments around the world to plan and comply accordingly. Our teams leverage transformative technologies to deliver strategy and execution, from tax and regulatory obligations to operations and workforce management, to reduce risk and drive sustainable value. EY has competencies in Business Tax Services, Global Compliance and Reporting, Global Law, Indirect Tax, International Tax and Transaction Services. Your key responsibilities Technical Excellence Expert in Python, Machine Learning, Postgres, Cloud Hands on API development Strong problem solving and troubleshooting skills Excellent team player with strong verbal & written communication skills. Exposure in Docker, Kubernetes, Continuous Delivery practices - Agile Scrum activities Exposure to Libraries Tensorflow, Keras, Numpy, sklearn, pandas, imutils, imgaug, lxml, opencv, matplotlib is Plus Exposure to big data technologies like Spark, Hive, Hadoop is desired Skills and attributes To qualify for the role you must have Qualification Graduate/Postgraduate in Engineering / Mathematics / Statistics Experience Developement in technical stacks/Full stack developement/databases What we look for People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach. What we offer With more than 200,000 clients, 300,000 people globally and 33,000 people in India, EY has become the strongest brand and the most attractive employer in our field, with market-leading growth over compete. Our people work side-by-side with market-leading entrepreneurs, game- changers, disruptors and visionaries. As an organisation, we are investing more time, technology and money, than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills and opportunities. EY is equally committed to being an inclusive employer and we strive to achieve the right balance for our people - enabling us to deliver excellent client service whilst allowing our people to build their career as well as focus on their wellbeing. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now.

Requisition Id : 1620303 As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we don't just focus on who you are now, but who you can become. We believe that it’s your career and ‘It’s yours to build’ which means potential here is limitless and we'll provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self. The opportunity : Consultant-National-Tax-TAX - Indirect Tax - Indirect Tax Global Trade - Gurgaon TAX - Indirect Tax - Indirect Tax Global Trade : Our globally connected tax professionals offer associated services across all tax disciplines to help the clients prosper in an era of rapid change. We combine our exceptional knowledge and experience with the people and technology platforms to equip clients in making better business decisions by bringing insights to the forefront. We help companies recognize the tax policies and tax laws of governments around the world to plan and comply accordingly. Our teams leverage transformative technologies to deliver strategy and execution, from tax and regulatory obligations to operations and workforce management, to reduce risk and drive sustainable value. EY has competencies in Business Tax Services, Global Compliance and Reporting, Global Law, Indirect Tax, International Tax and Transaction Services. Your key responsibilities Technical Excellence Expert in Python, Machine Learning, Postgres, Cloud Hands on API development Strong problem solving and troubleshooting skills Excellent team player with strong verbal & written communication skills. Exposure in Docker, Kubernetes, Continuous Delivery practices - Agile Scrum activities Exposure to Libraries Tensorflow, Keras, Numpy, sklearn, pandas, imutils, imgaug, lxml, opencv, matplotlib is Plus Exposure to big data technologies like Spark, Hive, Hadoop is desired Skills and attributes To qualify for the role you must have Qualification Graduate/Postgraduate in Engineering / Mathematics / Statistics Experience Developement in technical stacks/Full stack developement/databases What we look for People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach. What we offer With more than 200,000 clients, 300,000 people globally and 33,000 people in India, EY has become the strongest brand and the most attractive employer in our field, with market-leading growth over compete. Our people work side-by-side with market-leading entrepreneurs, game- changers, disruptors and visionaries. As an organisation, we are investing more time, technology and money, than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills and opportunities. EY is equally committed to being an inclusive employer and we strive to achieve the right balance for our people - enabling us to deliver excellent client service whilst allowing our people to build their career as well as focus on their wellbeing. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now.

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In Your Role, You May Be Responsible For Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Preferred Education Master's Degree Required Technical And Professional Expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred Technical And Professional Experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

Job Summary: The AVP will be responsible for driving the strategic vision, development, and implementation of AI/ML and Generative AI technologies within our platform. This role requires a deep understanding of AI/ML, experience with banking projects is preferred with a proven track record of leading technical teams. Key Responsibilities: Leadership and Strategy: Define and drive the AI/ML and GenAI strategy in alignment with the company's overall vision and business goals. Lead and mentor a team of AI/ML engineers and data scientists, fostering a culture of innovation and excellence. Collaborate with cross-functional teams to integrate AI/ML and GenAI capabilities into our LCNC and Pro Code platform. Technical Expertise: Oversee the design, development, and deployment of AI/ML models and GenAI technologies to solve complex business problems. Ensure the scalability, reliability, and performance of AI/ML solutions. Stay abreast of the latest advancements in AI/ML and GenAI technologies and evaluate their potential impact on our platform. Project Management: Manage multiple AI/ML projects simultaneously, ensuring they are delivered on time, within scope, and within budget. Develop and maintain project plans, track progress, and report on project status to senior management. Stakeholder Engagement: Work closely with internal stakeholders, including product management, engineering, and business development teams, to understand their needs and provide AI/ML solutions. Engage with external stakeholders, such as clients and partners, to demonstrate the value of our AI/ML capabilities. Compliance and Risk Management: Ensure that all AI/ML initiatives comply with relevant regulations and industry standards. Identify and mitigate risks associated with AI/ML implementations. Qualification & Experience: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Ph.D. is a plus. 10 to 15 years of experience in AI/ML technologies, with a significant portion spent in the banking or financial services industry. Required Skills: Proven leadership experience, including leading technical teams and managing complex projects. Strong expertise in machine learning algorithms, data analysis, natural language processing, and generative AI technologies. Hands-on experience with AI/ML frameworks and tools such as TensorFlow, PyTorch, scikit-learn, Keras, and others. Proficient in programming languages such as Python, R, and SQL. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with MLOps practices and tools for model deployment, monitoring, and maintenance. Knowledge of cloud computing platforms and services (e.g., AWS, Azure, Google Cloud) for AI/ML workloads. Understanding of ethical AI principles and data privacy regulations. Excellent problem-solving skills and the ability to think strategically and analytically. Strong communication and interpersonal skills, with the ability to effectively convey technical concepts to non-technical stakeholders. Preferred Skills: Experience with Low-Code/No-Code platforms. Knowledge of banking regulations and compliance requirements. Experience with big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Tableau, Power BI). About Pennant: Pennant Technologies is an agile, innovative financial technology company that powers the lending operations of global banks and financial institutions - HDFC, Bajaj Finserve, LIC HFL, Godrej HFL, RAK Bank, QNB to name a few. Its suite of future ready lending products and solutions offer banks composable features and scalable capabilities to deliver differentiated loan origination, servicing and collections experiences for their customers. Trusted by leading banks and financial institutions in Asia, Pennant’s award-winning lending platform has managed more than 10 Million loans and facilitates 50 Million loan transactions per year. Pennant is HQ in Hyderabad and have offices and/ business operations in India, ME, Saudi, Australia, Philippines and UK . We are aggressively expanding across the geographies and adding to our 450+ workforce, spread across multiple locations. Visit us at http://pennanttech.com Growth Opportunity: Banking is the biggest consumer of technology, and the share is simply growing. Banks generate maximum profits out of Lending operations hence it’s imperative for them to ensure they use the right technologies right from the customer onboarding, servicing till retiring the end customers. In the past few years FI’s have not been able to refresh lending tech stack and that’s leading to challenges, higher operational cost and customer dissatisfaction. Stupendous growth in lending activities across the segments, markets and LOB’s has created once in a decade business opportunity for Pennant. Do you want to be part of our growth story?