5480 Deep Learning Jobs - Page 3

Were looking for a skilled and hands-on Data Science Engineer with AI/ML expertise to join our team. Youll work on developing, deploying, and optimizing machine learning models that directly impact business outcomes. This is a highly collaborative role involving data scientists, ML engineers, and product teams to build and ship intelligent solutions at scale. Key Responsibilities: Design, develop, and deploy ML models (supervised, unsupervised, NLP, etc.) Build robust data pipelines for model training and inference Perform data exploration, preprocessing, and feature engineering Optimize model performance using experimentation and A/B testing Work with product managers and software engineers to integrate models into production systems Monitor and retrain models as needed to ensure long-term performance Document model architecture, decisions, and performance metrics Requirements: 5+ years of experience in data science, machine learning, or AI roles Strong Python skills, including pandas, NumPy, scikit-learn Experience with deep learning frameworks (TensorFlow, PyTorch) Solid SQL skills and experience working with large datasets Good understanding of model evaluation techniques (e.g., precision, recall, F1) Exposure to cloud platforms (AWS/GCP/Azure) and version control (Git) Ability to build and productionize ML solutions Strong communication and problem-solving skills Nice to Have: Experience with MLOps tools (MLflow, Kubeflow, Airflow) Familiarity with LLMs or generative AI concepts Experience with containerization (Docker, Kubernetes) Knowledge of data lake/data warehouse architectures

About the Role: We are seeking a motivated and highly skilled Data Scientist to join our Flight Safety team. This role is critical in leveraging advanced analytics and machine learning to drive safety-related decisions and improve operational processes. The successful candidate will work extensively with time-series and multivariate data to detect anomalies, uncover patterns, and develop predictive models that enhance flight safety and risk mitigation. You will play a strategic role in applying AI/ML techniques, building custom algorithms, and conducting exploratory data analysis, with a strong focus on aviation safety and operational excellence. Key Responsibilities: Perform exploratory data analysis (EDA) to uncover patterns, trends, and insights from complex datasets. Apply advanced anomaly detection techniques on time-series and multivariate data to identify irregularities and potential safety risks. Develop and implement machine learning and deep learning models (e.g., ANN, RNN, CNN) for predictive safety analytics. Utilize big data analytics tools and AI/ML frameworks to support data-driven decision-making in flight safety. Design and develop custom algorithms to meet domain-specific requirements with high accuracy and reliability. Write efficient, maintainable code using Python and MATLAB for data processing, modeling, and algorithm deployment. Collect, clean, and preprocess data from multiple sources to ensure high-quality inputs for model development. Collaborate with cross-functional teams to translate analytical findings into actionable safety initiatives. Required Qualifications & Experience: Educational Background: Bachelors degree in Engineering with a specialization in Data Science or a related field. Certification in Data Science (such as a completed Data Scientist course or equivalent). Professional Experience: Minimum 6 years of hands-on experience in data science, machine learning, or analytics roles. Proven experience in developing AI/ML models, particularly in anomaly detection and predictive analytics. Key Skills: Data Analysis & Exploratory Data Analysis (EDA) Anomaly Detection (Time-Series & Multivariate Data) Machine Learning & Deep Learning (ANN, RNN, CNN) Big Data Analytics & AI-driven Risk Forecasting Strong Programming Skills: Python and MATLAB Custom Algorithm Design & Development Data Collection, Preprocessing, and Integration Mandatory Key SkillsPython a,nd MATLAB,data science,Machine Learning,Deep Learning,ANN,RNN,CNN,Python*

At GoDaddy, the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely Remote: This is a remote position, so you ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings Join our team If you are passionate about machine learning and want to make a difference for millions of small businesses, join our DnAI (Data and Artificial Intelligence) team at GoDaddy as a Senior Machine Learning Scientist. You will have the opportunity to build cutting-edge machine learning models for Pricing + Bundling, and Generative AI projects. You will work closely with ML engineers to develop ML pipelines to solve high-impact problems. You will also collaborate with other platform teams to ensure the quality and reliability of our ML solutions What youll get to do... Develop and implement advanced machine learning algorithms for Pricing and Generative AI projects using PyTorch. Design and refine ML models to enhance their performance, scalability, and robustness Analyze and interpret complex data sets to inform model development and ensure accuracy and effectiveness. Stay abreast of the latest developments in machine learning and artificial intelligence, integrating new methodologies and techniques as appropriate Contribute to the development of standardized processes for model evaluation, validation, and deployment to production environments and collaborate with cross-functional teams to integrate ML solutions within broader product and platform initiatives Drive the exploration and adoption of cutting-edge ML technologies to maintain our competitive edge in the industry Your experience should include... 4+ years of overall experience and 2+ years of experience in machine learning engineering or related roles Strong knowledge of machine learning algorithms, tools, and techniques, such as supervised and unsupervised learning, deep learning, computer vision, natural language processing, etc Proficient in Python programming language with familiarity with software engineering best practices, such as version control, code review, CI/CD, etc Experience in writing unit tests and documentation for ML code You might also have... Degree in computer science, engineering, statistics, or related fields Familiarity with prompt engineering and large language models (LLM) is a plus Proficiency in multiple programming languages Understanding of containerization technologies like Docker and orchestration tools like Airflow Weve got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy s benefits vary based on individual role and location and can be reviewed in more detail during the interview process We also embrace our diverse culture and offer a range of Employee Resource Groups ( Culture ). Have a side hustleNo problem. We love entrepreneurs! Most importantly, come as you are and make your own way

Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider Our AI Science team pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale. provider. As a Senior Applied Scientist, you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large multimodal models and computer vision technologies such as image classification, object detection, vision grounding etc. This individual contributor(IC) role will build best-in-class computer vision solutions at scale. Responsibilities Perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner with the Product and Engineering managers to influence strategic decisions, drive experimentation and communicate results to higher managements. You will build best-in-class LLM/LMM/computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management, Data Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience with computer vision techniques, deep learning techniques, model serving, and a demonstrated ability to think strategicallyabout business, product, and technical challenges to contribute to the development of current and future vision services Key Responsibilities Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation models. Design, implement and test the critical module/features of AI service that are correct, highly available, scalable, and cost-effective. Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance. Analysis of ML models, and optimizing models for accuracy and latency. Large-scale training & production deployment with ML models. Own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production model. Experience implementing machine learning algorithms or research papers from scratch to production. Work with large, complex data sets. Proactively identify the technical issues/bugs and provide innovative solutions. File patent and publication as by product of solving complex business problems Partner closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance and acceptance of data/annotation as required. Leverage Oracle Cloud technology. Preferred Qualifications Ph.D. (preferred) or Masters in Computer Science, Machine Learning, Computer Vision, or related field. PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification. Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models. Expert in at least one high level language such as Python/Java/C++ Practical experience in ML algorithm design, model training and production deployment using microservices architecture Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology. Experience or willingness to learn and work in Agile and iterative development processes. Strong drive to learn and master new technologies and techniques. Deep understanding of data structures, algo Qualifications Career Level - IC3

Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences. Responsibilities Drives and plans implementation of company policy for achieving business goals. Defines the bar for science practices, and helps teams achieve those goals. Identifies and mitigates risks across full set of systems, particularly at the intersection of business and engineering. Innovate AI and ML powered solutions (rich APIs, ML models and end to end services) with strategic ISVs and customers. Develop deep product intuition to influence future product roadmaps and drive decision making. Clearly articulate technical work to audiences of all levels and across multiple functional areas in both internal and external settings. Engage in forward looking research both internal and with academic institutions globally. Hires and mentors across the org. Perform an active role in team planning, review and retrospective events. Ensures experiments are ready for hand-off to Software Developers ship into production. May perform other duties as assigned.

Are you excited about building cutting-edge AI systems that revolutionize how cloud infrastructure is run? At Oracle Cloud Infrastructure (OCI), were reimagining operations for the enterprise cloudand were looking for ML Engineers to drive this transformation. OCI is a hyperscale cloud platform where operations are core to customer success. For OCI to scale and remain competitive, we need automate incident detection, diagnosis, and resolutionpushing the limits of AI and GenAI in cloud operations. Join us to build intelligent AI solutions that proactively manage cloud environments, boost operational excellence, and deliver a world-class customer experience. If youre passionate about solving deep technical challenges and shaping the next generation of autonomous cloud, this is your moment. Required Qualifications Overall 8+ with 2+ years of experience in machine learning engineering, with hands-on experience in building AI agents and production-grade ML systems . Proven expertise in large language models (LLMs) , transformers , and GenAI technologies . Demonstrated experience in prompt engineering and developing prompting strategies for LLM-based applications. Demonstrated ability to evaluate and optimize AI agent performance in real-world, mission-critical environments. Solid programming skills in Python and practical experience with ML frameworks such as PyTorch or TensorFlow . Deep understanding of MLOps practices , including model deployment, scalability, observability, and lifecycle management. Excellent problem-solving skills with a bias for action and execution. Ability to convince technical leaders and executives. Strong written and verbal communication skills , including direct collaboration with enterprise customers and cross org teams. Bachelors or Masters degree in Computer Science , Machine Learning , or a related technical fiel Preferred Qualifications Experience building AI assistants or conversational agents for enterprise applications. Experience working with multi-agent systems , reinforcement learning , or autonomous decision-making frameworks . Familiarity with LLM fine-tuning , RAG (Retrieval-Augmented Generation), or vector database integration. Background in cloud operations, DevOps, or infrastructure monitoring domains. Familiarity with Oracle Cloud Infrastructure or other major cloud platforms. Contributions to open-source ML projects and/or Publications or patents in ML, NLP, or AI agent systems. Why Join Us? Be at the forefront of designing AI Agents and the infrastructure that powers them. Shape the future of AI-powered cloud operations at Oracle. Work with cutting-edge AI technologies and solve impactful real-world problems. Collaborate with a world-class team of engineers, researchers, and product leaders. Competitive compensation, benefits, and career growth opportunities. Responsibilities Key Responsibilities Lead AI Agent Development: Drive the end-to-end design and development of AI agents tailored for cloud operations, ensuring scalability, reliability, and alignment with customer needs. Tooling & Infrastructure: Architect and implement tools and frameworks that accelerate AI agent development, experimentation, deployment, and monitoring. Model Assessment: Design and execute robust methodologies to evaluate agent performance, safety, and accuracy across diverse operational scenarios. Meta Prompting Innovation: Develop advanced meta prompting techniques to dynamically adapt prompts and maximize LLM utility in varied, real-time operational contexts. GenAI/LLM Integration: Integrate cutting-edge LLM technologies into OCI systems, leveraging fine-tuning, retrieval-augmented generation (RAG), and other advanced techniques. Cross-Functional Collaboration: Partner with product, UX, and engineering teams to align technical solutions with business priorities and user experience. Customer Engagement: Collaborate directly with enterprise customers to gather requirements, validate solutions, and ensure agent effectiveness in production environments. Technical Leadership: Mentor engineers, establish best practices in AI agent engineering, and contribute to the technical vision and roadmaps.

We are looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem-solving mindset. Passion for AI innovation and continuous learning. Excellent teamwork and communication abilities. Qualifications: Bachelors/Masters in Computer Science, AI, Data Science, or related fields. AI/ML certifications are a plus. Career Level - IC4

Responsibilities: Middleware environment administration (Install, configure, migrations, tuning, patching, administration & monitoring) on any middleware platform such as Oracle.Ensure the effective daily operation of the production / Middleware applications and provides administrative support for new implementations, upgrades, and migrations Effective collaboration with infrastructure teams, application development teams, testing and release teamsIdentify and quickly escalate potential issues with solution design, packaged software, client resources, or anything else that impacts your ability to deliver according to expectationsRequired Knowledge & skills: A minimum of 8+ years hands-on experience in Infrastructure installation, configuration and support with emphasis on Middleware InfrastructureExperience in provisioning and maintaining environments in any cloud platform like Oracle, Azure, AWS or GoogleSME in administering WebLogic servers.SME in administering Oracle SOA Suite.Strong knowledge of Unix and experience in shell scriptingWorking knowledge of Database Server products Desired Skills: Exposure and Experience to WLST scripting is desiredExperience in any banking products administration like Flexcube, OBDX, OFSLL., OFSAAOracle Cloud Infrastructure Architect Associate CertifiedExposure and Experience Configuring and Administering Oracle Integration Cloud Design, develop, and implement AI and machine learning models.Analyze large datasets to identify patterns and insights.Build and deploy predictive models, NLP applications, and recommendation systems.Research and stay updated with the latest trends in AI, ML, and deep learning technologies.Optimize models for performance and scalability. Detailed Description and Job Requirements An experienced consulting professional who has an understanding of solutions, industry best practices, multiple business processes or technology designs within a product/technology family. Operates independently to provide quality work products to an engagement. Performs varied and complex duties and tasks that need independent judgment, in order to implement Oracle products and technology to meet customer needs. Applies Oracle methodology, company procedures, and leading practices. Operates independently to provide quality work products to an engagement. Performs varied and complex duties and tasks that need independent judgment, in order to implement Oracle products and technology to meet customer needs. Applies Oracle methodology, company procedures, and leading practices. Demonstrates expertise to deliver functional and technical solutions on moderately complex customer engagements. May act as the team lead on projects. Effectively consults with management of customer organizations. Participates in business development activities. Develops and configures detailed solutions for moderately complex projects. 3-5 years of experience relevant to this position including 2 years consulting experience preferred. Undergraduate degree or equivalent experience. Product or technical expertise relevant to practice focus. Ability to communicate effectively. Qualifications Leading contributor individually and as a team member, providing direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. Because of substantial customer interfacing, a demonstrated ability to work with customers on an independent basis with exceptional communication skills, while consistently achieving the absolute highest levels of customer satisfaction. Both a Bachelor's and Master's degree in Computer Science, Engineering or equivalent experience 8 years related experience prior to taking this position. In addition, experience with Oracle's core products, applications, and tools.

Responsibilities As part of the OCI Gen AI and Data Solutions for strategic customers team, you will be responsible for developing innovative Gen AI and data services for our strategic customers.As a Principal Applied Data Scientist, you'll lead the development of advanced Gen AI solutions using the latest ML technologies combined with Oracle's cloud expertise. Your work will significantly impact sectors like financial services, telecom, healthcare, and code generation by creating distributed, scalable, high-performance solutions for strategic customers. Work directly with key customers and accompany them on their Gen AI journey understanding their requirements, help them envision and design and build the right solutions and work together with their ML engineering to remove blockers. You will dive deep into model structure to optimize model performance and scalability. You will build state of art solutions with brand new technologies in this fast-evolving area. You will configure large scale OpenSearch clusters, setting up ingestion pipelines to get the data into the OpenSearch. You will diagnose, troubleshoot, and resolve issues in AI model training and serving. You may also perform other duties as assigned. Build re-usable solution patterns and reference solutions / showcases that can apply across multiple customers. Be an enthusiastic, self-motivated, and a great collaborator. Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc. Qualifications and experience Bachelors or masters in computer science or equivalent technical field with 10+ years of experience Able to optimally communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations). Demonstrated experience in designing and implementing scalable AI models and solutions for production,relevant professional experience as end-to-end solutions engineer or architect (data engineering, data science and ML engineering is a plus), with evidence of close collaborations with PM and Dev teams. Experience with OpenSearch, Vector databases, PostgreSQL and Kafka Streaming. Practical experience with setting up and finetuning large OpenSearch Clusters. Experience in setting up data ingestion pipelines with OpenSearch. Experience with search algorithms, indexing, optimizing latency and response times. Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. Familiarity with Agents and Agent frameworks and Model Predictive Control (MPC) Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. Ability and passion to mentor and develop junior machine learning engineers. Proficient in Python and shell scripting tools. Preferred Qualifications : Masters or Bachelor's in related field with 5+ years relevant experience Experience with RAG based solutions architecture. Familiarity in OpenSearch and Vector stores as a knowledge store Knowledge of LLM and experience delivering, Generative AI And Agent models are a significant plus. Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. Experience with semantic search, multi-modal search and conversational search. Experience in working on a public cloud environment, and in-depth knowledge of IaaS/PaaS industry and competitive capabilities.Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc. Experience with LLM fine-tuning, especially the latest parameter efficient fine-tuning technologies and multi-task serving technologies. Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. Experience with deep learning frameworks (such as PyTorch, JAX, or TensorFlow) and deep learning architectures (especially Transformers). Experience in diagnosing, fixing, and resolving issues in AI model training and serving.

Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider. Our AI Science team pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale. Were looking for an experienced Sr. Applied Scientist (IC3) with deep hand-on experience in Generative AI and Computer Vision area to develop highly complex and accurate data science model. In this role, you will develop of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies. Responsibilities As a Senior Applied Scientist, you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large multimodal models and computer vision technologies such as image classification, object detection, vision grounding etc. This individual contributor(IC) role will build best-in-class computer vision solutions at scale Perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner with the Product and Engineering managers to influence strategic decisions, drive experimentation and communicate results to higher managements. You will build best-in-class LLM/LMM/computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management, Data Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience with computer vision techniques, deep learning techniques, model serving, and a demonstrated ability to think strategicallyabout business, product, and technical challenges to contribute to the development of current and future vision services. Key Responsibilities Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation models. Design, implement and test the critical module/features of AI service that are correct, highly available, scalable, and cost-effective. Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance. Analysis of ML models, and optimizing models for accuracy and latency. Large-scale training & production deployment with ML models. Own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production model. Experience implementing machine learning algorithms or research papers from scratch to production. Work with large, complex data sets. Proactively identify the technical issues/bugs and provide innovative solutions. File patent and publication as by product of solving complex business problems Partner closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance and acceptance of data/annotation as required. Leverage Oracle Cloud technology. Preferred Qualifications Ph.D. (preferred) or Masters in Computer Science, Machine Learning, Computer Vision, or related field. PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification. Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models. Expert in at least one high level language such as Python/Java/C++ Practical experience in ML algorithm design, model training and production deployment using microservices architecture Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology. Experience or willingness to learn and work in Agile and iterative development processes. Strong drive to learn and master new technologies and techniques. Deep understanding of data structures, algorithms, and excellent problem-solving skills. You enjoy a fast-paced work environment.

As an engineer, your involvement will be critical in the entire lifecycle of a product - right from ideation-development-production-deployment. Get to feel the sense of accomplishment that comes with creating something that solves a real and pressing problem and is used by scores of customers. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! Who are you You are a dynamic and solution driven Software Engineer specializing in Intelligent Video Analytics, with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products You will remain rooted as an engineer, a designer, and a technologist while leading a team.You take complete ownership of timely product delivery with impeccable software quality. You have the ability to navigate the teams through fast changing market needs. You possess strong people leadership skills in mentoring the young engineers Experience : 4+ Years Qualification : B.E/B.tech/M.E/ M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE)or related field Technical Skills Required : Hands on with C++, OOPS, Computer Vision, OpenCV, TensorFlow, Web Orientation, Web Development, OpenCV, Image Processing. Hands-on experience of Deep Learning/Computer Vision projects. Working exposure with Neural networks, CNN i.e. Convolutional Neural Network (Design, Training, Inference). Experience building and optimizing libraries for fast computer vision Experience curating data, creating and optimizing models, and running experiments Expert knowledge of the principles, algorithms, and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc. Experience with one or more deep learning frameworks such as Tensorflow, PyTorch or Keras Experience porting and optimizing models and algorithms for different hardware platforms Strong programming skills using Python and C++ Superhuman thirst for learning including scouting for ideas and keeping up-to-date with advancements in the field Good to have skills : Any exposure to projects like Object Detection/Motion Detection/Face Recognition is good to have. Experience working with multiple video streams for simultaneous integration into machine learning algorithms Experience optimizing deep learning models for embedded form factors What your day might look like (Role) The SME - Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. This team partners with our hardware, software, and platforms teams to help bring our products and solutions to life. An ideal candidate for this role will lead in the creation of systems, algorithms, and optimizations for all things computer vision This includes leading and mentoring a team of engineers who help with different aspects of the task. Collaborate with the team to understand project requirements and objectives. Design and implement algorithms using C/C++, OpenCV, and TensorFlow. Integrate video analytics solutions with existing systems or platforms. Participate in design reviews and brainstorming sessions with cross-functional teams. Execute AI algorithms using various platform specific frameworks like TensorRT, TensorFlow Lite etc. Formulate program specifications and basic prototypes. Efficiently Develop PoC on Algorithms Performance Centric implementation practices. Implement low cost algorithm modules as per need. Troubleshoot issues and provide technical support during integration and deployment phases. Research new technologies and methodologies to enhance video analytics capabilities. Document your work, including writing code documentation or preparing technical reports. What do we offer Opportunity to work for an Indian Tech Company creating incredible products for the world, right from India Be part of a challenging, encouraging, and rewarding environment to do the best work of your life Competitive salary and other benefits Generous leave schedule of 21 days in addition to 9 public holidays, including holiday adjustments to convert weekends into long weekends 5-day workweek with 8 flexi-days months, allowing you to take care of responsibilities at home and work Company-paid Medical Insurance for the whole family (Employee+Spouse+Kids+Parents). Company paid Accident Insurance for the Employee On-premise meals, subsidized by the company If you are an Innovative Tech-savvy individual. Look no further. Click on Apply and we will reach out to you soon!

Job Overview Were looking for a Lead Data Scientist with a passion for both math and technology to join our growing Advanced Analytics group. This group writes the math and software to unlock the value in data assets while creating new and unique decision product offerings for customers. In this role, you will have the opportunity to work directly with the business innovation teams, marketing, sales and global customers along with expertise from Ecolabs Center for Advanced Analytics, to develop the data strategy and advanced analytics applications pipeline. You will have the opportunity to stay on the cutting edge of technology research and then to put your skills this research to practical use by building advanced data analytics science models your own software systems. You will be able to see the results of your efforts ripple throughout the company our systems in real-time. You will design your systems as you see fit, own your code, and your work will have a very direct, measurable impact on the core metrics of the organization. Whats in it For You: The opportunity to take on some of the worlds most meaningful challenges, helping customers achieve clean water, safe food, abundant energy and healthy environments The ability to make an impact and shape your career with a company that is passionate about growth The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best Actively engage with internal business teams to understand their challenges and deliver robust, data driven solutions. Work alongside global counterparts to solve data-intensive problems using standard analytical frameworks and tools. Be encouraged and expected to innovate and be creative in your data analysis, problem solving and presentation of solutions. Network and collaborate with a broad range of internal business units to define and deliver joint solutions. Work alongside customers to leverage cutting edge technology (Generative AI, machine learning, streaming analytics and real big data) to creatively solve problems and disrupt existing business models. KEY RESPONSIBILITIES Lead, manage, and mentor a high-performing team of data scientists, ensuring excellence in technical execution and professional development Define, implement, and refine the AI and ML strategy and roadmap, aligning with the organization's long-term goals and evolving business needs Drive the development and deployment of state-of-the-art AI methodologies, leveraging the latest advancements in machine learning, artificial intelligence, and computational techniques Present complex, data-driven insights and strategic recommendations to stakeholders, driving high-level decision-making Develop and nurture relationships with business partners and stakeholders across the organization, ensuring effective collaboration and alignment on AI-driven projects Ensure the scalability, reliability, and robustness of AI solutions through advanced model development, deployment, and monitoring practices Proactively manage project risks and mitigate potential issues, ensuring successful delivery and alignment with strategic goals Conduct pioneering research in emerging areas, integrating new technologies and methodologies to solve complex business problems Pre-Requisites 10+ years of experience in AI, Data Science or a related field, with a proven track record of leading and executing high-impact, technically complex projects Extensive expertise in advanced machine learning algorithms, deep learning, statistical modeling, and AI, with hands-on experience in cutting-edge techniques Mastery of programming languages such as Python, with extensive experience in advanced machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, LangChain, Transformers, OpenAI SDK, or Hugging Face) Advanced skills in SQL and hands-on experience with big data technologies Deep understanding of LLMs, prompt engineering, and transformer architectures Prior experience leading Generative AI solutions utilizing LLMs such as GPT, Claude, and LLaMA Demonstrated expertise in MLOps practices, including model deployment, monitoring, and optimization at scale Outstanding communication skills, both written and verbal, with the capability to convey complex technical concepts to diverse audiences and influence executive decision-making Ability to manage and deliver multiple high-stakes projects simultaneously, with a deep understanding of how to align data science initiatives with overarching business objectives and strategies (Preferred) Masters degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, Marketing Research.

Expectations We are looking for a Software/Cloud Engineer with a proven track record in applying AI to real-world problems. You will be responsible for designing, developing, and maintaining AI-driven solutions integrated with Oracle SaaS applications across various industries. The ideal candidate will possess a clear understanding of the strategic value of data and AI in enhancing business operations. We require team members who are adept at working hands-on with Oracle Cloud products, developing and showcasing custom demonstrations that leverage Oracle's Generative AI, Vision, Language, and other OCI AI services, and leading proof-of-concept projects to meet customer business needs. Experience with Oracle's AI and Cloud capabilities is an advantage alongside strong curiosity, technical expertise, and exceptional communication abilities. Responsibilities Design, develop, and implement end-to-end scalable AI-driven applications and features that act as standalone/independent solutions or enhance the capabilities of Oracle Fusion Cloud Applications. Collaborate closely with Application Sales Representatives, Solution Architects, and internal/external customers to understand specific business pain points application needs. Create highly customized, compelling, and reusable AI-infused demonstrations of Fusion applications, highlighting the power of Oracles AI capabilities by leveraging Oracle AI Services (e.g., Vision, Language, Speech, Anomaly Detection), OCI Generative AI (for LLMs, RAG, embeddings, summarization), or Oracle AI Studio. Integrate diverse systems using REST APIs and other integration patterns. Data Handling - data preparation, feature engineering, and working with various data sources. Act as an AI subject matter expert during customer engagements, workshops, and proof-of-concept initiatives. Responsibilities Design, develop, and implement end-to-end scalable AI-driven applications and features that act as standalone/independent solutions or enhance the capabilities of Oracle Fusion Cloud Applications. Collaborate closely with Application Sales Representatives, Solution Architects, and internal/external customers to understand specific business pain points application needs. Create highly customized, compelling, and reusable AI-infused demonstrations of Fusion applications, highlighting the power of Oracles AI capabilities by leveraging Oracle AI Services (e.g., Vision, Language, Speech, Anomaly Detection), OCI Generative AI (for LLMs, RAG, embeddings, summarization), or Oracle AI Studio. Integrate diverse systems using REST APIs and other integration patterns. Data Handling - data preparation, feature engineering, and working with various data sources. Act as an AI subject matter expert during customer engagements, workshops, and proof-of-concept initiatives. Work experience Experience Level: At least few years of dedicated experience in AI/ML applications development or a closely related field. While 3+ years is ideal, we recognize the evolving nature of AI and encourage candidates with strong foundational skills and demonstrable passion. Good understanding of core AI, Machine Learning and Deep Learning concepts, algorithms, and methodologies. 5+ years of Software Development with excellent proficiency in Python being essential. Good experience with relational databases (preferrable Oracle Database) and 3-5 years SQL experience in querying large complex data set. Familiarity with Oracle Fusion Cloud Applications (ERP, SCM, HCM, CX) data models and functionalities would be an advantage. Familiarity with Oracle AI Studio as a development environment is a big advantage Prior experience (or willing to learn) with one or more of the following technologies/platforms is an advantage: OCI Object Storage, OCI Data Integration, Oracle Database, Oracle Analytics Cloud, UI Path. Continuously learn and adapt to evolving AI technologies and Oracle product enhancements. To be successful in this role, you will ideally have Can compose ideas in a clear and concise manner written and/or spoken in English, as the role will support United States based Sales team Team player who can work well with others Good organizational and planning skills with a demonstrated ability to manage projects to completion Aptitude to learn new technologies/techniques quickly and efficiently Strong analytical skills Demonstrates ability to explore different alternatives and options to resolve technical challenges Self-motivated and self-starter Bachelors degree in computer science or equivalent technical experience

Responsibilities: * Develop computer vision solutions using CNN, PyTorch & Python. * Implement image processing techniques for object detection. * Design neural networks for video analysis and deep learning. Free meal Flexi working

National Payment Corporation of India (NPCI) is Hiring! Hiring Data Scientist (with Statistics, Quantitative Economics, Operations Research (OR), Bayesian Modelling experience only) Experience: 5 - 10 Years (Mandatory)Tier-1 schools/colleges: ISI, IITs (Kharagpur, Chennai, Kanpur and Bombay), BITS and DSE ( D elhi S chool of E conomics) or any similar Mandatory (Must) Must have experience of 5-10 years working in Statistics, Quantitative Economics, Operations Research (OR), Bayesian Modelling or any similar fields (Must) Atleast a Bachelors level education in Statistics, Economics, Industrial Engineering or any similar fields from Tier-1 schools/colleges Exposed to Supervised and Un-supervised Learning methods/algorithms from all genres viz. Statistical (e.g. Logistic, Discriminant, K-means etc), Machine Learning (e.g. Random Forest, SVM etc), or Deep Learning (e.g. NN, CNN etc) Excellent Python and SQL skills handling large volume of data have the flair to pick-up any language/technology/tool in quick time Passion in solving business problems with data Good storytelling and articulation skills Good teaming skills Proactive and can figure out things on his/her own attitude Should have good sense of ownership Ability to manage projects from conceptualization to presentation/delivery/adoption Good-to-have Some banking /finance background Worked with multiple business partners kind of scenario/environment Some stakeholder management skills External conference presentations / White Papers / Articles Publishing / Patents Some exposures using Google OR, IBM ILOG etc OR tools Some exposure to NLP ( N atural L anguage P rocessing)

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics. Mandatory Key Skillspython,deep learning,chatbot,machine learning,algorithms,natural language processing,tensorflow,data science,keras,computer vision,neural networks,opencv,django,image processing,predictive modeling,R,data analytics,flask,artificial intelligence*

Mandatory Skills : Gen AI, LLM, ML/DL/NLP, RAG, Lang chain, Mistral, Llama, Hugging Face, Python, Tensorflow, Pytorch, Django, Vector DB, Preferred Skills : GCP/Azure/AWS, Databricks, MLOps (tools like Kubeflow/ Mlflow) , Kubernetes, GitHub/Bitbucket, ADO, GPT-4 JD: Strong understanding of machine learning and deep learning principles and algorithms. Experience in developing and implementing generative AI models and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Ability to work with large datasets and knowledge of data preprocessing techniques. Familiarity with natural language processing (NLP) and computer vision for generative AI applications. Experience in building and deploying generative AI systems in real-world applications. Utilize advanced machine learning techniques to develop and train generative AI models. Collaborate with cross-functional teams to groom and preprocess large datasets for model training. Research and implement cutting-edge algorithms and architectures for generative AI applications. Optimize model performance and scalability for real-time inference and deployment. Stay current with industry trends and advancements in generative AI technology to drive innovation. Experiment with different hyperparameters and model configurations to improve generative AI model quality. Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Provide technical expertise and guidance to support the integration of generative AI solutions into various products and services. Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Strong problem-solving and critical thinking skills for complex AI problems. Excellent communication and teamwork abilities to collaborate with cross-functional teams. Proven track record of delivering innovative solutions using generative AI technologies. Ability to stay updated with the latest advancements in generative AI and adapt to new techniques and methodologies. Role & responsibilities Preferred candidate profile

Job Title: Senior AI/ML Engineer (Python) Location: Gurgaon, India Employment Type: Full-time Experience Required: 8+ years About the Role: We are seeking a Senior AI/ML Engineer with deep expertise in building, deploying, and fine-tuning advanced machine learning and deep learning models. This role emphasizes LLMs, Hugging Face ecosystem, and fine-tuning techniques like LoRA (Low-Rank Adaptation) for scalable AI-driven applications. The ideal candidate will be a hands-on expert in AI/ML frameworks, end-to-end pipeline development, and modern MLOps practices, while also mentoring teams and contributing to the companys AI strategy. Key Responsibilities: Architect, design, and deploy advanced AI/ML and deep learning models for NLP, computer vision, and multi-modal use cases. Build end-to-end ML pipelines covering data engineering, preprocessing, model training, evaluation, and deployment. Implement fine-tuning techniques (LoRA, parameter-efficient tuning, transfer learning, etc.) for LLMs and domain-specific tasks. Leverage the Hugging Face ecosystem for model development, training, and deployment. Work extensively with Python and ML/DL frameworks (PyTorch, TensorFlow, scikit-learn). Drive adoption of MLOps best practices (CI/CD for ML, MLflow, Kubeflow, Airflow). Collaborate with cross-functional teams to integrate AI models into production-grade applications. Mentor junior engineers and establish best practices for scalable ML engineering . Research and apply state-of-the-art advancements in LLMs, transformers, generative AI, and fine-tuning . Required Skills & Qualifications: Bachelor’s/Master’s degree in Computer Science, Data Science, AI, or related field . 8+ years of hands-on experience in AI/ML development and deployment . Expert in Python programming and ML/DL frameworks (PyTorch, TensorFlow). Strong understanding of machine learning algorithms, deep learning architectures, transformers, and NLP techniques . Proven experience with Hugging Face Transformers, LoRA, and fine-tuning large language models (LLMs) . Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Solid knowledge of data preprocessing, feature engineering, and production model deployment . Preferred Skills: Expertise in parameter-efficient fine-tuning (PEFT) and generative AI workflows. Exposure to big data ecosystems (Spark, Hadoop) for large-scale ML applications. Experience in multi-modal AI systems (text, image, and audio). Strong foundation in statistics, optimization, and applied mathematics . Experience leading teams and defining AI strategy & best practices .

Data scientists at Thoughtworks are responsible for leading and executing data science projects. They employ their profound expertise in statistics, modeling, machine learning algorithms and data mining methodologies. They integrate this expertise with a comprehensive understanding of related domains to render business value and illuminate data-driven insights, facilitating clear and effective decision-making processes. Their responsibilities encompass devising strategies, executing plans, operationalizing solutions and articulating the tangible business outcomes achieved. Collaborating with cross-functional teams is pivotal, as they adeptly convey their discoveries to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. Job responsibilities You will lead and manage data science projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration. You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning. You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues. You will design, develop and implement data science strategies that drive measurable business results. You will design experiments for the team to rapidly test ideas and assumptions, and identify future courses of action. You will use quality metrics to select machine learning models that will be deployed in the production environment. You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind. You will contribute to the growth of the data science community along with promoting a culture of data literacy within the organization. You will address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility). You will work with CD4ML practices and data versioning tools. Job qualifications Technical Skills You have experience in leading the analysis and modeling of different datasets and overseeing an inception to deploying and productionizing the models. You have experience with statistical modeling, hypothesis testing, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects. You understand the specialized areas of AI and possess a speciality with at least one of them (i.e.: NLP/computer vision/Generative AI, etc)tc). You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test. You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity. You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships. You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes. You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability. You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations. You ensure compliance with data privacy regulations and ethical standards when handling sensitive information. Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. You dont shy away from risks or conflicts, instead you take them on and skillfully manage them. You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. You enjoy influencing others and always advocate for technical excellence while being open to change when needed. You are a proven leader with a track record of encouraging teammates in their professional development and relationships. Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.

We are currently seeking a Sr. Data Science & AIML, GenAI Lead/Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job Duties: Job Title: Data Science & AIML, GenAI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Minimum Skills Required: Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain.

Mandatory Skills : Gen AI, LLM, ML/DL/NLP, RAG, Lang chain, Mistral, Llama, Hugging Face, Python, Tensorflow, Pytorch, Django, Vector DB, Preferred Skills : GCP/Azure/AWS, Databricks, MLOps (tools like Kubeflow/ Mlflow) , Kubernetes, GitHub/Bitbucket, ADO, GPT-4 JD: Strong understanding of machine learning and deep learning principles and algorithms. Experience in developing and implementing generative AI models and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Ability to work with large datasets and knowledge of data preprocessing techniques. Familiarity with natural language processing (NLP) and computer vision for generative AI applications. Experience in building and deploying generative AI systems in real-world applications. Utilize advanced machine learning techniques to develop and train generative AI models. Collaborate with cross-functional teams to groom and preprocess large datasets for model training. Research and implement cutting-edge algorithms and architectures for generative AI applications. Optimize model performance and scalability for real-time inference and deployment. Stay current with industry trends and advancements in generative AI technology to drive innovation. Experiment with different hyperparameters and model configurations to improve generative AI model quality. Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Provide technical expertise and guidance to support the integration of generative AI solutions into various products and services. Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Strong problem-solving and critical thinking skills for complex AI problems. Excellent communication and teamwork abilities to collaborate with cross-functional teams. Proven track record of delivering innovative solutions using generative AI technologies. Ability to stay updated with the latest advancements in generative AI and adapt to new techniques and methodologies.

The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms and partnership & economics. The ACOE's delivery framework is designed to provide relevant and contextual insights for data-driven decisions. This includes a one-stop solution for metrics, dashboards driving actionable insights, optimization of performance, measuring pre/post feature impact, sizing the ROI of opportunities, prioritization of opportunities, anomaly-driven alerting mechanisms, root cause analysis of metric deviation, and exploratory hypothesis testing. The Community You Will Join: We are looking for a hands-on Staff, Advanced Analytics who has demonstrated success in building an analytics team with functional expertise in building analytical solutions. Be a trusted partner to product teams and business leaders, across marketplace teams through providing insights, recommendations, and enabling data driven decisions. This role will sit under the Advanced Analytics family and support Product and Business leaders within our CS organization. The Difference You Will Make: Data thought partner to product and business leaders across marketplace teams through providing insights, recommendations, and enabling data informed decisions. Drive day to day product analytics and build analytical solutions Develop a deep understanding of how guests and hosts interact with our CS products including but not limited to AI Assistant, IVR and other agent assisting tools to improve the customer experience. A Typical Day: Owning the product analytics road map, prioritization & delivery of solutions in the Contact Center Product space. Own projects from start to end: building out timelines, key milestones, providing regular updates to product managers, analytics management and delivery against agreed timelines. Lead end-to-end measurement for AI systems, aligning metrics with business outcomes, user experience, and trustworthiness Collaborate with engineering to define scale logging and ensure observability across Agentic and LLM workflows. Lead the design and evaluate A/B and causal tests to quantify impact of AI features and optimizations. Translate insights into strategic recommendations for senior leaders; shape product priorities through data. Hire, mentor and up level team capability in AI analytics, experiment best practices and storytelling. Your Expertise: 12+ years in industry experience and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research). Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences Strong expertise in Python, SQL, A/B testing platforms and best practices Expertise in EDA, hypothesis testing, significance testing, regression, clustering techniques, concepts of NLP/Text Mining, machine learning and deep learning techniques, language model fine-tuning etc Understanding of LLM architectures (e.g., prompt chains, retrieval augmentation, orchestration frameworks like LangChain or DSPy). Familiarity with Agentic AI systems, human-in-the-loop design, and AI observability best practices Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement. Experience designing and building metrics, from conception to building prototypes with data pipelines Familiarity with vector stores, embeddings, prompt instrumentation, and structured logging of LLM interactions would be a plus Contact center domain and market place domain knowledge would be a plus Our Commitment To Inclusion & Belonging : Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We are seeking for a proactive and technically skilled AI & Automation specialist to help us transform and automate our existing manual operations including customer support ( via calls, email and chat) , email queries, accounts, and follow-ups.

You are required to have a strong background in Python programming, database management, and data science methodologies. Prior experience with conversational AI systems or chatbot development is highly desirable. You should possess strong research & analytical skills and sound knowledge of Deep learning, transformer, GAN's, VAE's, and LLM. Proven experience in natural language processing, prompt engineering, or similar roles is essential. Proficiency in programming languages such as Python and experience with relevant libraries and frameworks (eg, TensorFlow, PyTorch, spaCy) is also necessary. **Key Responsibilities:** - Design and develop creative and effective prompts for natural language understanding - Collaborate with software engineers and data scientists to integrate prompts into conversational interfaces - Continuously iterate and refine prompts to improve the quality and performance of the conversational AI system - Analyze user interactions and feedback to identify areas for prompt enhancement and adjust them accordingly - Analyze user interactions, model outputs, and performance metrics and feedback to continuously improve prompt-based systems - Utilize data-driven insights to enhance the effectiveness and efficiency of the prompt engineering process - Work on optimizing algorithms for prompt generation and response to improve system performance - Stay updated on the latest advancements in natural language processing and integrate innovative techniques into prompt engineering - Collaborate with cross-functional teams, including software developers, data scientists, and UX designers, to ensure a seamless integration of prompt systems into products - Conduct thorough testing and evaluation of prompts to assess their effectiveness and efficiency - Address and resolve any issues related to prompt performance and user experience **Qualifications Required:** - Minimum 2-4 years of experience in Python programming, database management, and data science methodologies - Prior experience with conversational AI systems or chatbot development - Strong research & analytical skills - Sound knowledge of Deep learning, transformer, GAN's, VAE's, and LLM - Proficiency in programming languages such as Python and experience with relevant libraries and frameworks (eg, TensorFlow, PyTorch, spaCy) - Attention to detail - Team player - Quick learner - Critical thinker and problem-solving skills - Sound knowledge of Google Docs and spreadsheets **What GlobalLogic Offers:** At GlobalLogic, you will experience a culture of caring, continuous learning and development opportunities, interesting and meaningful work, balance and flexibility, and a high-trust organization. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for creating innovative digital products and experiences since 2000. Join us to collaborate with forward-thinking companies and be a part of transforming businesses and industries through intelligent products, platforms, and services.,

As a highly skilled Data / AI / ML / Gen AI Scientist with 4-6 years of experience, your role is crucial in developing and implementing cutting-edge AI products and solutions to unlock the full potential of AI and ML. Your strong background in Python, experience with cloud platforms, and solid understanding of various AI concepts will be invaluable in this position. Key Responsibilities: - Develop and implement innovative AI and ML models to solve complex business problems. - Design and build scalable AI solutions using Python and relevant frameworks/libraries (Flask API, Fast API, Pandas, Scikit Learn, PyTorch, Transformer, OpenAI, Huggingface). - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Conduct research and development to stay updated with the latest advancements in AI and ML. - Engage with clients to understand their needs and provide tailored AI solutions. - Lead and mentor junior team members, fostering a collaborative and innovative work environment. - Ensure continuous learning and development to keep up with the fast-paced AI industry. - Rapidly prototype and iterate on AI models and solutions to meet business needs. Key Skills And Qualifications: - Proficiency in Python. - Experience with cloud platforms such as AWS, Azure, or GCP for AI/ML/DS project development. - Strong understanding of ML models, Deep Learning, NLP/CV, and Generative AI concepts. - Comfortable working in a fast-paced environment with rapid prototyping. - Experience with client engagement and leading teams is a plus. - Proven track record in building products/solutions using cutting-edge AI models and tools. Please note: The company values continuous learning and development, client engagement, and innovation in the field of AI, making it an exciting place to work and grow your skills.,