1294 Deep Learning Jobs - Page 50

Role & responsibilities Analyze large volume and data, identify and implement features. Study and transform data science prototypes and implement models. Models will include prediction, geospatial forecasting and object detection algorithms. Train, retrain, and monitor machine learning systems and models as needed Continually improve models. Preferred candidate profile : Experience in one area of computer science , statistics or quantitative fields (e.g., Natural Language Understanding, Human Computer Interactions, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas). Experience with wide range supervised and unsupervised learning models (e.g., NN, XgBoost, Graph Network models) Experience with unstructured data is preferred. Experience with vision and object detection models preferred.

About the job: We are a UK-based conveyancing firm dedicated to transforming property transactions through cutting-edge artificial intelligence. We are seeking a talented Machine Learning Engineer with 1-2 years of experience to join our growing AI team. This role offers a unique opportunity to work on scalable ML systems and Generative AI applications in a dynamic and impactful environment. Key responsibilities: 1. Design, build, and deploy scalable ML Models: Handle the end-to-end development of machine learning and deep learning models that can be scaled to handle real-world data and use cases. This includes training, testing, validating, and deploying models efficiently in production environments. 2. Develop NLP-based automation solutions: Create natural language processing pipelines that automate tasks such as document understanding, text classification, and summarisation, enabling intelligent handling of property-related documents. 3. Prototype and implement generative AI tools: Work closely with AI researchers and developers to experiment with and implement Generative AI techniques for tasks like content generation, intelligent suggestions, and workflow automation. 4. Integrate ML models with APIs and tools: Integrate machine learning models with external APIs and internal systems to support business operations and enhance customer service workflows. 5. Maintain CI/CD for ML features: Collaborate with DevOps teams to manage CI/CD pipelines that automate testing, validation, and deployment of ML features and updates. 6. Review, debug, and optimise models: Participate in thorough code reviews and model debugging sessions. Continuously monitor and fine-tune deployed models to improve their performance and reliability. 7. Cross-team communication: Communicate technical concepts effectively across teams, translating complex ML ideas into actionable business value. 8. Design, build, and deploy scalable ML and deep learning models for real-world applications. 9. Develop NLP-based and Gen AI based solutions for automating document understanding, classification, and summarisation. 10. Collaborate with AI researchers and developers to prototype and implement Generative AI tools 11. Integrate ML and Gen AI models with APIs and internal tools to support business operations. 12. Work with CI/CD pipelines to ensure continuous delivery of ML features and updates. 13. Participate in code reviews, debugging, and performance optimisation of deployed models. 14. Communicate technical concepts effectively across cross-functional teams. 15. Ensure ML systems are built with GDPR compliance in mind. 16. Adhere to RBAC policies and maintain secure handling of personal and property data. 17. Use sandboxed environments for testing new ML features. 18. Conduct basic risk analysis for model performance and data bias. 19. Use sandboxed environments for testing and development. 20. Evaluate and mitigate potential risks in model behavior and data pipelines Who can apply: Only those candidates can apply who: have minimum 1 years of experience are from Faridabad, Delhi, Ghaziabad, Gurgaon, Greater Noida, Noida only are Computer Science Engineering students Salary: ₹ 5,00,000 /year Experience: 1 year(s) Deadline: 2025-06-11 23:59:59 Other perks: 5 days a week, Cab/Transportation facility, Health Insurance Skills required: Python, Data Structures, Machine Learning, Risk Management, Natural Language Processing (NLP), Deep Learning, CI/CD, APIs and Object Oriented Programming (OOP) Other Requirements: 1. 1–2 years of professional experience in Machine Learning and Deep Learning projects. 2. Proficient in Python, Object-Oriented Programming (OOP), and Data Structures & Algorithms (DSA). 3. Strong understanding of NLP and its real-world applications. 4. Exposure to building scalable ML systems and deploying models into production. 5. Basic working knowledge of Generative AI techniques and frameworks. 6. Familiarity with CI/CD tools and experience with API-based integration. 7. Excellent analytical thinking and debugging capabilities. 8. Strong interpersonal and communication skills for effective team collaboration. About Company: PLS has offices in Manchester, Liverpool, and Central London. With around 200 employees, we are one of the leading conveyancing firms in the country by volume and a significant amount of our work is in new build homes. We are experienced in all types of conveyancing including the first homes scheme, shared ownership, and re-mortgage. In addition to this, we have a highly experienced secured lending team that can deal with commercial and residential property transactions including development finance and Islamic finance.

We are looking for a Machine Learning Engineer to join RCM (Revenue Cycle Management) products managing claims, billing and payment processes for healthcare practices. You will work with the team to develop and deploy machine learning models to automate and optimize RCM processes. This role focuses on developing customized models and innovative solutions which can integrate into enterprise applications, ensuring high reliability, security and scalability by following best practices. About you: You love to own important work and find it difficult to turn down a good challenge. You are excited about the latest developments in ML and keep abreast of the latest methods and technologies. You have experience building and evaluating ML models. You have strong communication skills and can work with colleagues from a variety of technical and non-technical backgrounds. Finally, you have a strong interest in improving healthcare. About the team The athena Collector product is a vital component of the athena One platform, processing billions in client revenue annually. The Data Science team is bringing machine learning to bear against the hardest problem in revenue cycle management in healthcare. We are working with other engineering leaders in athena Collector product to build machine learning into our Best in KLAS suite of products to drive innovation and increase automation. Also, this team is responsible to deploy state-of-the-art machine learning models using cloud technologies. Job Responsibilities As a member of the athena Collector Data Science team, you are expected to work on projects within scrum teams of 2-4 people and execute the following: Identify opportunities for different machine learning techniques and evaluate which are best Assist in developing and deploying ML-based production services to our clients Understand and follow conventions and best practices for modeling, coding, architecture, and statistics; and hold other team members accountable for doing so Apply rigorous testing of statistics, models, and code Contribute to the development of internal tools and AI team standards Typical Qualifications: Bachelors or Masters in relevant field: math, computer science, data science, economics 2-4 years of professional experience developing, evaluating and deploying machine learning models Excellent verbal communication and writing skills Experience using machine learning models and libraries, familiarity with NN frameworks a bonus Experience with Python, SQL , Unix Familiarity with NLP or computer vision techniques Experience using the AWS ecosystem a bonus

Open & Direct Walk-in Drive event | Hexaware technologies, Data Scientist AI/ML with GEN AI in Chennai, Tamilnadu on 10th May [Saturday] 2025 NLP, Python, ML, GEN AI, Deep Learning, Chat GPT Dear Candidate, I hope this email finds you well. We are thrilled to announce an exciting opportunity for talented professionals like yourself to join our team as a Data Scientist AI/ML with GEN AI. We are hosting an Open Walk-in Drive in Chennai, Tamilnadu on 10th May [Saturday] 2025 , and we believe your skills in Data Scientist AI/ML with GEN AI align perfectly with what we are seeking. Details of the Walk-in Drive: Date: Chennai, Tamilnadu on 10th May [Saturday] 2025 Experience: 9 years to 12 years Time: 9.30 AM to 4PM Point of Contact: Aishwarya G / AISHWARYAG5@hexaware.com Venue: HEXAWARE TECHNOLOGIES H-5, Sipcot It Park, Post, Navalur, Siruseri, Tamil Nadu 603103 Work Location: Open (Bangalore/ Pune/ Mumbai/ Dehradun/ Chennai/ Coimbatore) Key Skills and Experience: GenAI & Data Science; Digital Architecture & Enablement; Emerging Tech & Innovation Evangelist Principles and workings of generative models. Knowledge of saving and loading AI models, such as using formats like ONNX or native formats of deep learning frameworks. Cloud platforms like AWS, GCP, or Azure, especially services related to AI and ML. Containerization tools like Docker to package the application and its dependencies. GPUs, TPUs, or other accelerators, and how to leverage them for AI inference. Techniques like model quantization, pruning, and distillation to improve inference speed and reduce memory footprint. Distribute incoming application traffic across multiple instances to ensure optimal resource utilization. Set up monitoring tools to track the health, uptime, and performance of the deployed application. Secure deployment of applications, including encryption, authentication, and authorization mechanisms. Data protection principles, especially when handling user data or other sensitive information. Proficiency with tools like Git. CI/CD pipelines and tools like Jenkins, Travis CI, or GitHub Actions. Networking principles to ensure the application is accessible and communicates effectively with other services or databases. Integrating databases to store or retrieve data, especially if the AI application requires real-time data access. What to Bring: Updated resume Photo ID, Passport size photo Mention "Aishwarya G" at the top of your resume. How to Register: To express your interest and confirm your participation, please reply to this email with your updated resume attached. Walk-ins are also welcome on the day of the event. This is an excellent opportunity to showcase your skills, network with industry professionals, and explore the exciting possibilities that await you at Hexaware Technologies. If you have any questions or require further information, please feel free to reach out to me at AISHWARYAG5@hexaware.com We look forward to meeting you and exploring the potential of having you as a valuable member of our team.

Open & Direct Walk-in Drive event | Hexaware technologies, Data Scientist AI/ML with GEN AI in Chennai, Tamilnadu on 10th May [Saturday] 2025 NLP, Python, ML, GEN AI, Deep Learning, Chat GPT Dear Candidate, I hope this email finds you well. We are thrilled to announce an exciting opportunity for talented professionals like yourself to join our team as a Data Scientist AI/ML with GEN AI. We are hosting an Open Walk-in Drive in Chennai, Tamilnadu on 10th May [Saturday] 2025 , and we believe your skills in Data Scientist AI/ML with GEN AI align perfectly with what we are seeking. Details of the Walk-in Drive: Date: Chennai, Tamilnadu on 10th May [Saturday] 2025 Experience: 9 years to 12 years Time: 9.30 AM to 4PM Point of Contact: Aishwarya G / AISHWARYAG5@hexaware.com Venue: HEXAWARE TECHNOLOGIES H-5, Sipcot It Park, Post, Navalur, Siruseri, Tamil Nadu 603103 Work Location: Open (Bangalore/ Pune/ Mumbai/ Dehradun/ Chennai/ Coimbatore) Key Skills and Experience: Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras. Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques. Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps. Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications. Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development. What to Bring: Updated resume Photo ID, Passport size photo Mention "Aishwarya G" at the top of your resume. How to Register: To express your interest and confirm your participation, please reply to this email with your updated resume attached. Walk-ins are also welcome on the day of the event. This is an excellent opportunity to showcase your skills, network with industry professionals, and explore the exciting possibilities that await you at Hexaware Technologies. If you have any questions or require further information, please feel free to reach out to me at AISHWARYAG5@hexaware.com We look forward to meeting you and exploring the potential of having you as a valuable member of our team.

Role & responsibilities 5+ years Hands on in Python and data science like tools pandas, NumPy, SciPy, matplotlib and strong exposure in regular expressions. 5+ years Hands on experience in Machine learning algorithms like SVM, CART, Bagging and Boosting algorithms, NLP based ML algorithms and Text mining. Hands on expertise to integrate multiple data sources in a streamlined pipeline. Strong knowledge in OOPs and creating custom python packages for serverless applications. Takes responsibility and ownership for work assignments, tasks and timelines. Functions as a "hands on" manager, engaging in the work with the team to stay relevant, current, as back-up and aware of the needs of the team. Provides transfer of knowledge to team members and support in learning. Demonstrates excellent written and verbal communication skills, strong analytical skills, and attention to detail. Strong Knowledge in SQL querying. Hands on experience in AWS services like Lambda, EC2, EMR, S3 and Athena, Batch, Textract and Comprehend. Strong Expertise in extracting text, tables, logos from low quality scanned multipage pdfs (80 - 150 dpi) and Images. Good Understanding in Probability and Statistics concepts and ability to find hidden patterns, relevant insights from the data. Expertise in Image Processing tools like OpenCV, scikit-image etc. Knowledge in Training NLP based Machine Learning and Deep Learning models to enhance and validate the text extraction process from Images and PDFs. Inquisitive thinking, passion to consistently learn and implement latest technologies and ability to manage multiple projects. Preferred candidate profile Balance team and individual responsibilities. Build analytic systems and predictive models. Build customer focused Next Best Action, Attribution & Segmentation models. Build, lead and orchestrate the global data science community. Coach, guide and direct teams of internal and vendor resources. Co-create with business / market / functions or IT platforms on requirements. Communicate complex analytical findings and implications to business leaders. Conduct and lead meetings and workshops to explain findings. Contribute to building a positive team spirit. Create alternative model approaches to assess complex model design and advance future capabilities. Design and build data set processes for modeling, data mining, and production purposes. Design and develop customized interactive reports and dashboards in Tableau. Design and develop machine learning / artificial intelligence (ML / AI) algorithms. Design and evaluate novel scalable approaches to experimentation. Design and implement prototypes using Python and Java programming language. Determine best format to execute ideas. Determine new ways to improve data and search quality, and predictive capabilities. Good to Have Knowledge in applying state of art NLP models like BERT, GPT - x, sciSpacy, Bidirectional LSTMs-CNN, RNN, AWS medical Comprehend for Clinical Named Entity Recognition (NER). Strong Leadership Skills. Deployment of custom trained and prebuilt NER models using AWS Sagemaker. Knowledge in setting up AWS Textract pipeline for large scale text processing using AWS SNS, AWS SQS, Lambda and EC2. Should have Intellectual curiosity to learn new things. ISMS responsibilities should be followed as per company policy.

Oliver Wyman is looking for Manager - Data Science to join our dynamic team and embark on a rewarding career journey. Delegating responsibilities and supervising business operations Hiring, training, motivating and coaching employees as they provide attentive, efficient service to customers, assessing employee performance and providing helpful feedback and training opportunities. Resolving conflicts or complaints from customers and employees. Monitoring store activity and ensuring it is properly provisioned and staffed. Analyzing information and processes and developing more effective or efficient processes and strategies. Establishing and achieving business and profit objectives. Maintaining a clean, tidy business, ensuring that signage and displays are attractive. Generating reports and presenting information to upper-level managers or other parties. Ensuring staff members follow company policies and procedures. Other duties to ensure the overall health and success of the business.

Looking for a highly motivated, self-driven AI Experienced Data Scientist for building differentiating solutions and for implementing AI and Generative AI (Gen AI) based solutions for customers business problems. As an AI Solution Engineer , build AI and Gen AI empowered practical in-depth solutions for solving customerbusiness problems. As an AI and Data Solution Engineer , design and implement Cloud Data, AI, and Gen AI based solutions , including LLM-powered systems, for customer programs. Apply statistics, modeling, LLMs , and machine learning to improve the efficiency of systems and relevance algorithms across our business application products. Requirements Bachelordegree or Masterdegree in Computer Science / AIML / Data Science. 4 to 6 years of overall experience and hands-on experience with the design and implementation of Machine Learning models, Deep Learning models, and Gen AI models (e.g., GPT, LLaMA, Mistral) for solving business problems. Proven experience working with Generative AI technologies , including prompt engineering, fine-tuning large language models (LLMs), embeddings, vector databases (e.g., FAISS, Pinecone), and Retrieval-Augmented Generation (RAG) systems. Expertise in R, Python (NumPy, Scikit-learn, Pandas), TensorFlow, PyTorch, transformers (e.g., Hugging Face) , or MLlib. Expertise in cloud-based data and AI solution design and implementation using GCP / AWS / Azure , including the use of their Gen AI services. Good experience in building complex and scalable ML and Gen AI solutions and deploying them into production environments. Experience with scripting in SQL, extracting large datasets, and designing ETL flows. Excellent problem-solving and analytical skills with the ability to translate business requirements into data science and Gen AI solutions. Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

5+yrs in Data Science with 2+yrs leading AI/ML in onshore/offshore setups. Skilled in deploying LLMs, GenAI on cloud (Azure, AWS, GCP). Proficient in Python, SQL, MLOps, CI/CD, Docker, Kubernetes. Strong problem-solver, team player, results-driven.

We are seeking a talented and experienced Data Scientist with strong experience in ML powered search - Semantic search, Learning to Search Ranking (LTR), AutoComplete & Spell check, Query Understanding & augmentation, Natural language search. The ideal candidate will possess in-depth knowledge and experience in different problems such as image classification, object detection, semantic segmentation, text summarization, language models, etc. KEY RESPONSIBILITIES Design, develop and implement advanced algorithms for ML Based search. Designed and develop algorithm for search ranking, spell check, auto complete and session level personalization. Improve overall customer experience by optimizing the response time, architecture, algorithms and models. Implement different kind of personalization i.e. user level, session level and region level. Develop API keeping in mind for low internet bandwidth customers. Design large-scale AI/ML systems end-to-end in a very fast-paced environment. Integrate AI/ML systems into existing data pipelines and systems. Identify areas of improvement in existing solutions. KEY SKILLS Strong experience in statistical analysis, Machine learning and deep learning techniques, particularly those related to computer vision and natural language processing (NLP). Proven track record of deploying scalable machine learning models in real-world applications Strong problem-solving skills and the ability to translate business requirements into analytical solutions. Prior experience in handling very large transactional datasets across different business functions. A self-starter and self-motivated individual who can work independently with other teams. Outstanding verbal and written communication skills Passion to stay updated with the latest advancements in AI, deep learning, generative AI and related system design areas. Lead research initiatives to explore new methodologies, tools, and technologies. Preferred Qualifications: Bachelor s or master s degree in computer science, Engineering, or a related field. Strong proficiency in Python, with extensive experience in TensorFlow and PyTorch. Familiarity with key deep learning metrics and optimization techniques. Strong Knowledge of version control systems, particularly Git. If you are a skilled Data Scientist who has passion to work in a fast-paced environment, have an eye for details and ready to experiment new things, we encourage you to apply and be part of our dynamic and innovative team and organization. WHAT WE OFFER competitive compensation depending on experience Opportunities for professional and personal development Opportunities to progress within a dynamic team. Chance to work with close and collaborative colleagues Comprehensive health coverage

AI/ML Engineer Summary Apply Now Noida Full-Time 3-5 Years Industry IT/Artificial Intelligence Responsibilities Develop and deploy machine learning models for various use cases. Optimize and fine-tune models for better performance. Integrate AI models into business applications. Monitor model performance and update algorithms as needed. About The Role Design and implement AI models and machine learning algorithms. The role involves collaborating with data scientists to build intelligent systems and deploying models in production. Qualifications Develop and deploy machine learning models for various use cases. Optimize and fine-tune models for better performance. Integrate AI models into business applications. Monitor model performance and update algorithms as needed. Skills Proficiency in Python and machine learning libraries. Strong understanding of natural language processing (NLP). Experience with cloud-based AI services (AWS, Google AI). Strong problem-solving and analytical skills.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Posting Title ML "“ Benchmark Development & optimization engineer Job Overview Join a new and growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips"™ extensive heterogeneous computing capabilities and engineers them to allow the running of trained neural networks on device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. See your work directly impact billions of mobile devices around the world. In this position, you will be responsible for the development and commercialization of ML solutions like Snapdragon Neural Processing Engine (SNPE)/Android Neural Network framework on Qualcomm SoCs. You would be porting ML solutions to various platforms involving different compiler toolchains and enable the product to work on upcoming chipsets, optimize the performance for benchmarking on multiple hardware accelerators (like CPU/GPU/DSP). You will have expert knowledge of debugging, improving, and maintaining cross platform compilation, linkage, build system and deployment aspects of large software C/C++ dependency stacks using best practices. You will also have to keep up with the fast pace development happening in the industry and academia to continuously enhance our solution from software engineering as well as machine learning standpoint. Minimum Qualifications Live and breathe quality software development with excellent analytical and debugging skills. Very good development skills in C, C++, STL and Python. Experience with embedded systems development or equivalent. Good understanding of software development and debugging in embedded environments. Experience in analysis and optimizations of ML KPIs like Performance, Accuracy metric, as well as system KPIs like Processor utilization, Memory, Cache, DDR etc., Well versed in version control tools like git, Gerrit, Excellent communication skills (verbal, presentation, written), ability to represent complex data in well-organized manner. Ability to collaborate across a globally diverse team and multiple interests Preferred Qualifications Understanding of Machine learnings and Deep Learning fundamentals and key concepts Experience with ML application development or any benchmarking framework like MLPerf, AITUTU, GBAI etc. Experience with any machine learning framework like TensorFlow, Pytorch, Onnx etc. Familiarity with windows ecosystem and awareness of windows debugging/analysis tools. Familiarity with build frameworks like CMake, Make, Gradle Good understanding about Processor architecture, system design fundamentals. Experience with machine learning accelerators or GPU/DSP development, optimizing algorithms for hardware acceleration cores using OpenCL, DSPs and/or ML specific cores Experience with SW optimizations for custom SOCs/Accelerators, SIMD, vectorization Background in mathematical operationslinear algebra, fast math libraries Work Experience: 2 to 4 years of relevant work experience in software development and optimizations Educational Requirements Bachelor's/Master"™s in Computer Science, Computer Engineering, or Electrical Engineering

Job Area: Information Technology Group, Information Technology Group > IT Programmer Analyst General Summary: Qualcomm"™s Engineering IT EDAAP team is looking for an independent contributor experienced in development and sustaining enterprise level software applications. Experience:7-10 years of experience developing dashboard with reporting tools "“ Tableau (Tableau API), Power BI, OBIEE. SkillsMust: Expert in developing visualizations/dashboards with Tableau Strong knowledge with SQL Fundamentals in object-oriented design, data structures, algorithms and problem solving. Test, debug and performance tuning of dashboards/reports Experience working in an agile development environment. Translate ad hoc report requests into common dashboards and application requirements Knowledge of different types of enterprise systems, their interaction, boundaries within an enterprise. Understanding of complex data models. Experience working with Oracle/MySQl/Postgres WILLINGNESS to multi task and work in a fast paced environment. Must be willing to take ownership and drive tasks to completion. Desirable: Python programming experience. Experience developing dashboards with Power BI. Exposure to Qlikview, OBIEE and ThoughtSpot Experience with semiconductor industry. Experience working with NoSQL Databases (MongoDB) as well as relational DBs (MySQL/Oracle) Education Requirements Bachelor's degree in technical discipline or equivalent experience required. Qualifications 5 or more years of experience in applying AI and machine learning techniques to practical and comprehensive technology solutions. A strong background in machine learning, deep learning, and natural language processing. Expertise in ML, deep learning, Py Torch, Python, NLP and Transformer architecture. Experience in deploying LLMs, embedding model/sentence transformers in production use cases. Thorough knowledge in basic algorithms, object-oriented and functional design principles, and best-practice patterns Strong expertise in programming (Rust/Python) Experience in fine-tuning a large language model using custom content (documents, data, code). Experience in developing Generative AI applications, Agentic Systems and Retrieval Augmented Generation. Experience working with large-scale datasets, preprocess them, and create appropriate data representations. Solid understanding of statistics, linear algebra, and probability theory. Preferred Qualifications Bachelors/master"™s degree in computer science, Artificial Intelligence, Data Science, or a related field. Experience in implementing projects involving end to end ML/NLP systems from development to deployment. Experience with transformer-based models (e.g., BERT, GPT, T5, Llama). Experience working in a distributed team. Experience with cloud environments (GCP/AWS). Working knowledge of Rust is a plus. Minimum Qualifications: 4+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience with a Bachelor's degree. OR 6+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience without a Bachelor"™s degree. 2+ years experience with Database Design structures such as Mongo DB, MySQL.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Do you ever wonder when will connected devices become thinking devices? Be part of the group that is working on technology that will bring "Cognition" to all connected devicesThat means devices that don"™t just think but instinctively react to their surroundings. We are searching for an AI Systems Architect Engineer to be part of the Qualcomm AI Processor team responsible for developing DSP and Machine Learning software applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on modelling and analysis of new cutting-edge algorithms in the areas of machine learning, computer vision and video processing that bring artificial intelligence to mobile and edge devices. Responsibilities include analyzing and optimizing custom processors/accelerators, developing and training data-driven architecture models, correlating these models, and performing system-level architecture analysis. Minimum Qualifications: Experienced candidates (1 - 4 years) are welcome to apply with experience in the following area: Strong academic records (GPA 3.0 or 72% and better) Excellent programming skills in C/C++, Python Strong problem-solving skills Strong motivation and capabilities in learning new subjects especially in the field of artificial intelligence Knowledge of data-driven modelling Knowledge of computer and hardware architecture Effective interpersonal communications skill (written and verbal) Analytical, thorough, resourceful, and detail-oriented Self-motivated, hardworking, and flexible Preferred Qualifications: Basic understanding of machine learning, computer vision, and digital image processing algorithms and applications Advanced understanding of computer architecture Advanced understanding of data-driven modelling Excellent verbal, written, and presentation skills Ability to work effectively as part of a team Knowledge of OOP principles Knowledge of GPU Programming / Architecture is a bonus Minimum Education Required : Masters/Bachelor"™s Computer Engineering, Electrical Engineering or Engineering Science Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Job Title: "Senior Lead Engineer, AISW ML Team Location: "Bangalore, India About The Role : The AI SW team at Qualcomm is focused on advancing state-of-the-art in Artificial Intelligence across various business segments, including Mobile, AR & VR Technology, IoT, and Auto ADAS. The AISW stack leverages Qualcomm chips' extensive heterogeneous computing capabilities, enabling the running of trained neural networks on devices without needing a cloud connection. This allows neural network models trained in various frameworks on Snapdragon platforms to run at blazing speeds while consuming minimal power. As a Senior Lead Engineer, you will see your work directly impact billions of devices worldwide. Key Responsibilities: Design, develop, and maintain high-quality software solutions using Python for running machine learning models on Qualcomm devices. Contribute to the development and optimization of AI models, using popular frameworks like Pytorch. Build tools and infrastructure for onboarding, debugging and analysis of AI models. Participate in code reviews and ensure adherence to best practices and coding standards. Debug accuracy and performance on devices, addressing any challenges that arise. Collaborate with cross-functional teams to define, design, and ship new features. Own end-to-end development and release of features and lead and mentor a sub-team of engineers. Minimum Qualifications: Bachelor"™s degree in engineering, Computer science or a related field and 6+ years of professional experience in software engineering or related work experience OR Master"™s degree in engineering, Computer science or a related field and 4+ years of experience of Software engineering or related work experience Solid understanding of fundamental computer science concepts, general programming principles and practices. 4+ years of hands-on professional experience in programming with Python (preferred) / Java / C++. Strong problem-solving skills and the ability to work independently and as part of a team. Basic knowledge of AI concepts and techniques Excellent communication skills and the ability to articulate complex technical concepts. Willingness to learn advanced concepts in AI and machine learning and keep updated with latest industry trends Preferred Qualifications: Experience with machine learning frameworks and tools such as PyTorch, ONNX. Familiarity with Large Language Models (LLMs) and Transformers Familiarity working with Linux systems and hardware devices Experience with mobile development frameworks and tools (e.g., Android SDK, Kotlin). Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

Overview: We are looking for a hands-on, full-cycle AI/ML Engineer who will play a central role in developing a cutting-edge AI agent platform. This platform is designed to automate and optimize complex workflows by leveraging large language models (LLMs), retrieval-augmented generation (RAG), knowledge graphs, and agent orchestration frameworks. As the AI/ML Engineer, you will be responsible for building intelligent agents from the ground up including prompt design, retrieval pipelines, fine-tuning models, and deploying them in a secure, scalable cloud environment. Youll also implement caching strategies, handle backend integration, and prototype user interfaces for internal and client testing. This role requires deep technical skills, autonomy, and a passion for bringing applied AI solutions into real-world use. Key Responsibilities: Design and implement modular AI agents using large language models (LLMs) to automate and optimize a variety of complex workflows Deploy and maintain end-to-end agent/AI workflows and services in cloud environments, ensuring reliability, scalability, and low-latency performance for production use Build and orchestrate multi-agent systems using frameworks like LangGraph or CrewAI, supporting context-aware, multi-step reasoning and task execution Develop and optimize retrieval-augmented generation (RAG) pipelines using vector databases (e.g., Qdrant, Pinecone, FAISS) to power semantic search and intelligent document workflows Fine-tune LLMs using frameworks such as Hugging Face Transformers, LoRA/PEFT, DeepSpeed, or Accelerate to create domain-adapted models Integrate knowledge graphs (e.g., Neo4j, AWS Neptune) into agent pipelines for context enhancement, reasoning, and relationship modeling Implement cache-augmented generation strategies using semantic caching and tools like Redis or vector similarity to reduce latency and improve consistency Build scalable backend services using FastAPI or Flask and develop lightweight user interfaces or prototypes with tools like Streamlit, Gradio, or React Monitor and evaluate model and agent performance using prompt testing, feedback loops, observability tools, and safe AI practices Collaborate with architects, product managers, and other developers to translate problem statements into scalable, reliable, and explainable AI systems Stay updated on the latest in cloud platforms (AWS/GCP/Azure), software frameworks, agentic frameworks, and AI/ML technologies Prerequisites: Strong Python development skills, including API development and service integration Experience with LLM APIs (OpenAI, Anthropic, Hugging Face), agent frameworks (LangChain, LangGraph, CrewAI), and prompt engineering Experience deploying AI-powered applications using Docker, cloud infrastructure (Azure preferred), and managing inference endpoints, vector DBs, and knowledge graph integrations in a live production setting Proven experience with RAG pipelines and vector databases (Qdrant, Pinecone, FAISS) Hands-on experience fine-tuning LLMs using PyTorch, Hugging Face Transformers, and optionally TensorFlow, with knowledge of LoRA, PEFT, or distributed training tools like DeepSpeed Familiarity with knowledge graphs and graph databases such as Neo4j or AWS Neptune, including schema design and Cypher/Gremlin querying Basic frontend prototyping skills using Streamlit or Gradio, and ability to work with frontend teams if needed Working knowledge of MLOps practices (e.g., MLflow, Weights & Biases), containerization (Docker), Git, and CI/CD workflows Cloud deployment experience with Azure, AWS, or GCP environments Understanding of caching strategies, embedding-based similarity, and response optimization through semantic caching Preferred Qualifications: Bachelor’s degree in Technology (B.Tech) or Master of Computer Applications (MCA) is required; MS in similar field preferred 7–10 years of experience in AI/ML, with at least 2 years focused on large language models, applied NLP, or agent-based systems Demonstrated ability to build and ship real-world AI-powered applications or platforms, preferably involving agents or LLM-centric workflows Strong analytical, problem-solving, and communication skills Ability to work independently in a fast-moving, collaborative, and cross-functional environment Prior experience in startups, innovation labs, or consulting firms a plus Compensation: The compensation structure will be discussed during the interview

KEY ACCOUNTABILITIES Collaborate with cross-functional teams (e.g., data scientists, software engineers, product managers) to define ML problems and objectives. Research, design, and implement machine learning algorithms and models (e.g., supervised, unsupervised, deep learning, reinforcement learning). Analyse and preprocess large-scale datasets for training and evaluation. Train, test, and optimize ML models for accuracy, scalability, and performance. Deploy ML models in production using cloud platforms and/or MLOps best practices. Monitor and evaluate model performance over time, ensuring reliability and robustness. Document findings, methodologies, and results to share insights with stakeholders. QUALIFICATIONS, EXPERIENCE AND SKILLS Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (graduation within the last 12 months or upcoming). Proficiency in Python or a similar language, with experience in frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong foundation in linear algebra, probability, statistics, and optimization techniques. Familiarity with machine learning algorithms (e.g., decision trees, SVMs, neural networks) and concepts like feature engineering, overfitting, and regularization. Hands-on experience working with structured and unstructured data using tools like Pandas, SQL, or Spark. Ability to think critically and apply your knowledge to solve complex ML problems. Strong communication and collaboration skills to work effectively in diverse teams. Additional Skills (Good to have) Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools (e.g., MLflow, Kubeflow). Knowledge of distributed computing or big data technologies (e.g., Hadoop, Apache Spark). Previous internships, academic research, or projects showcasing your ML skills. Familiarity with deployment frameworks like Docker and Kubernetes. #LI-AA6

KEY ACCOUNTABILITIES Collaborate with cross-functional teams (e.g., data scientists, software engineers, product managers) to define ML problems and objectives. Research, design, and implement machine learning algorithms and models (e.g., supervised, unsupervised, deep learning, reinforcement learning). Analyse and preprocess large-scale datasets for training and evaluation. Train, test, and optimize ML models for accuracy, scalability, and performance. Deploy ML models in production using cloud platforms and/or MLOps best practices. Monitor and evaluate model performance over time, ensuring reliability and robustness. Document findings, methodologies, and results to share insights with stakeholders. QUALIFICATIONS, EXPERIENCE AND SKILLS Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (graduation within the last 12 months or upcoming). Proficiency in Python or a similar language, with experience in frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong foundation in linear algebra, probability, statistics, and optimization techniques. Familiarity with machine learning algorithms (e.g., decision trees, SVMs, neural networks) and concepts like feature engineering, overfitting, and regularization. Hands-on experience working with structured and unstructured data using tools like Pandas, SQL, or Spark. Ability to think critically and apply your knowledge to solve complex ML problems. Strong communication and collaboration skills to work effectively in diverse teams. Additional Skills (Good to have) Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools (e.g., MLflow, Kubeflow). Knowledge of distributed computing or big data technologies (e.g., Hadoop, Apache Spark). Previous internships, academic research, or projects showcasing your ML skills. Familiarity with deployment frameworks like Docker and Kubernetes. #LI-MP1

Job Description : We are seeking a highly motivated and experienced ML Engineer/Data Scientist to join our growing ML/GenAI team. You will play a key role in designing, developing and productionalizing ML applications by evaluating models, training and/or fine tuning them. You will play a crucial role in developing Gen AI based solutions for our customers. As a senior member of the team, you will take ownership of projects, collaborating with engineers and stakeholders to ensure successful project delivery. What we're looking for: At least 3 years of experience in designing & building AI applications for customer and deploying them into production At least 5 years of Software engineering experience in building Secure, scalable and performant applications for customers. Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI. Design, develop, and operationalize existing ML models by fine tuning, personalizing it. Evaluate machine learning models and perform necessary tuning. Develop prompts that instruct LLM to generate relevant and accurate responses. Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation. Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance. Hands on customer experience with RAG solution or fine tuning of LLM model. Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools. Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment. Proven experience building and deploying machine learning models in production environments for real life applications Good understanding of natural language processing, computer vision or other deep learning techniques. Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain). Familiarity with Google Cloud or any other Cloud Platform and its machine learning services. Excellent communication, collaboration, and problem-solving skills.

Role: AI Video Creator Intern for Gen AI Content Tenure- 3 months (PPO basis performance and company needs) What were looking for:-Experience in film production, animation, and content creation.-Familiarity with AI tools for content creation.If you meet these requirements and are excited to be part of a dynamic team, send us your resume at hidden_email Lets create something incredible together!,

Overview: Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor s Best Places to Work Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development/deployment cycle, and deep knowledge of industry best practices, Data Science and Machine Learning experience with the ability to implement them working with both the platform, and the product teams. Scope Our machine learning platform ingests data in real time, processes information from millions of retail items to serve deep learning models and produces billions of predictions on a daily basis. Blue Yonder Data Science and Machine Learning team works closely with sales, product and engineering teams to design and implement the next generation of retail solutions. Data Science team members are tasked with turning both small, sparse and massive data into actionable insights with measurable improvements to the customer bottom line. Our current technical environment: Software: Python 3.* Frameworks/Others: TensorFlow, PyTorch, BigQuery/Snowflake, Apache Beam, Kubeflow, Apache Flink/Dataflow, Kubernetes, Kafka, Pub/Sub, TFX, Apache Spark, and Flask. Application Architecture: Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architecture. Cloud: Azure What we are looking for: Bachelor s Degree in Computer Science or related fields; graduate degree preferred. Solid understanding of data science and deep learning foundations. Proficient in Python programming with a solid understanding of data structures. Experience working with most of the following frameworks and libraries: Pandas, NumPy, Keras, TensorFlow, Jupyter, Matplotlib etc. Expertise in any database query language, SQL preferred. Familiarity with Big Data tech such as Snowflake , Apache Beam/Spark/Flink, and Databricks. etc. Solid experience with any of the major cloud platforms, preferably Azure and/or GCP (Google Cloud Platform). Reasonable knowledge of modern software development tools, and respective best practices, such as Git, Jenkins, Docker, Jira, etc. Familiarity with deep learning, NLP, reinforcement learning, combinatorial optimization etc. Provable experience guiding junior data scientists in official or unofficial setting. Desired knowledge of Kafka, Redis, Cassandra, etc. What you will do: As a Senior Data Scientist, you serve as a specialist in the team that supports the team with following responsibilities. Independently, or alongside junior scientists, implement machine learning models by Procuring data from platform, client, and public data sources. Implementing data enrichment and cleansing routines Implementing features, preparing modelling data sets, feature selection, etc. Evaluating candidate models, selecting, and reporting on test performance of final one Ensuring proper runtime deployment of models, and Implementing runtime monitoring of model inputs and performance in order to ensure continued model stability. Work with product, sales and engineering teams helping shape up the final solution. Use data to understand patterns, come up with and test hypothesis; iterate. Help prepare sales materials, estimate hardware requirements, etc. Attend client meetings, online and onsite, to discuss new and current functionality Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success - and the success of our customers. Does your heart beat like oursFind out here: Core Values All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work. Dolby is looking for a talented AI Researcher to join Dolby s research efforts to develop the next generation of AI based audio and video technologies. You will work with Dolby s world-class audio and vision experts to invent new multimedia analysis, processing and rendering technologies. As a part of a global team, the Senior Staff Research Engineer will work on ideas exploring new horizons in audio processing, analysis, replay and organization. You will be responsible for performing fundamental new research, transferring technology to product groups, and draft patent applications. Summary You will push the boundaries of the state-of-the-art in audio and media technologies. The ideal candidate would have a strong background in deep learning, both in terms of conceptual understanding, as well as practical experience. A core aspect of this role involves being able to keep up to date with the literature, implement, and innovate with the bleeding edge in generative models, self-supervised learning, and multi-modal learning. With the explosion of large language models and natural language processing, you will partner closely with Dolby s worldwide AI research staff, which actively pursues the integration of such models into audio and media experiences. You will be able to hit the ground running, innovate, and contribute to such projects. Consequently, experience with language models, question answering, vision-language models, captioning, etc. would be highly beneficial. Consequently, knowledge or experience in any/all of the following are helpful: Diffusion, autoregressive, or other generative models. Self-supervised, contrastive learning, auto-encoders. Audio, image, or text applications Source separation, text-to-speech, music synthesis, image segmentation, image captioning, question answering, language models, etc. Main responsibilities Partner closely with other domain experts to refine and execute Dolby s technical strategy in artificial intelligence and machine learning. Use deep learning to create new solutions (including foundation models) and enhance existing applications. Push the state-of-the-art and develop intellectual property. Transfer technology to product groups and draft patent applications. Advise internal leaders on recent deep learning advancements in the industry and academia to further influence research direction and business decisions. Requirements Ph.D. in Computer Science or similar field. A strong background in deep learning, both in terms of conceptual understanding, as well as practical experience. Strong knowledge and interest in audio processing Knowledge in video, or text processing is desirable. Strong publication record, with publications in major machine learning conferences (e.g. NeurIPS, ICLR, ICML). Publications in top domain-specific conferences is desirable (e.g., ACL, CVPR, ICASSP). Good knowledge about current machine learning literature. Highly skilled in Python and one or more popular deep learning frameworks (TensorFlow or PyTorch). Ability to envision new technologies and turn them into innovative products. Good communication and collaboration skills. All official communication regarding employment opportunities at Dolby will come from an official dolby.com email address. We will never request payment as part of the hiring process. If you receive a suspicious message, please verify its authenticity before responding

We are seeking a skilled Python TechLead with a strong interest in artificial intelligence and machine learning. Position Python/ML developer Tech Lead ( IMMEDIATE JOINERS PREFERRED) Experience 5 + years No of positions 1 Location Chennai, India Key Skills & Responsibilities Key Skills: Python, Python Flask, NLP (Content extraction), Pandas, OCR, Deep Learning, OpenCV, Tesseract, Computer Vision (Image Processing), TensorFlow, PyTorch, Keras, Scikit- learn, Paddle, ML, ML Algorithms, Neural Networks (CNN), Git, CI/CD, Cloud Experience (Any) Must Have Skills: Proficiency in Python programming language. Minimum 4+ years of hands-on experience in python and ML Strong background in machine learning algorithms and frameworks. Understand the requirements and objectives of the assigned projects Recommend appropriate approaches and technologies to deploy to achieve the objectives Iterate the development process to improve effectiveness of the models Implement parallel processing and other techniques to enhance processing speed Deep understanding of data extraction with Computer Vision and Deep learning libraries Excellent problem solving and analytical skills Ability to understand project requirements and objectives, and translate them into actionable development tasks Effective communication with stakeholders to provide technical insights and project updates Ability to lead and mentor a team of developers, ensuring adherence to best practices and coding standards Strong project management skills, including task prioritization, resource planning, and risk management Nice To Have Skills: Experience with deep learning frameworks such as TensorFlow or PyTorch. Familiarity with natural language processing (NLP) techniques. Previous work on computer vision projects Demonstrated experience and success in computer vision and text extraction projects

Job Summary: We're seeking an experienced AI Engineer to develop and integrate cutting-edge AI solutions into our product. The ideal candidate will have expertise in machine learning, deep learning, and software development. Collaborating with our Product Manager, you'll design, implement, and optimize AI-driven solutions to enhance our application. Key Responsibilities: Develop and integrate AI models and algorithms Collaborate with cross-functional teams (Product, Engineering, Design) Optimize AI models for performance, scalability, and efficiency Ensure seamless integration with existing infrastructure Troubleshoot and resolve AI-related issues Stay updated on AI trends, technologies, and best practices Requirements: Bachelor's/master's degree in computer science, AI, or related fields 5+ years of experience in AI/ML development Proficiency in Python, Deep Learning, TensorFlow, PyTorch, or similar frameworks Experience with machine learning libraries and expertise in Natural Language Processing (NLP) and Computer Vision tools. Familiarity with cloud platforms (AWS, GCP, Azure) Knowledge of containerization (Docker) and orchestration (Kubernetes) Nice to Have: Experience with AI-specific tools and frameworks Familiarity with agile development methodologies Knowledge of DevOps practices Certification in AI/ML (e.g., TensorFlow Certified Developer) Role & responsibilities

About The Role : Job Title: AI Lead , VP LocationPune, India Role Description Engineer is responsible for managing or performing work across multiple areas of the bank's overall IT Platform/Infrastructure including analysis, development, and administration. It may also involve taking functional oversight of engineering delivery for specific departments. Work includes: Planning and developing entire engineering solutions to accomplish business goals Building reliability and resiliency into solutions with appropriate testing and reviewing throughout the delivery lifecycle Ensuring maintainability and reusability of engineering solutions Ensuring solutions are well architected and can be integrated successfully into the end-to-end business process flow Reviewing engineering plans and quality to drive re-use and improve engineering capability Participating in industry forums to drive adoption of innovative technologies, tools and solutions in the Bank. Deutsche Banks Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Proven ability to design, build, and deploy end-to-end AI/ML systems in production. Expertise in data science , including statistical analysis, experimentation, and data storytelling. Experienced in working with large-scale, real-world datasets for model training and analysis. Comfortable navigating urgency, ambiguity, and fast-changing priorities . Skilled at solving complex ML problems independently , from idea to implementation. Strong leadership experience building and guiding high-performing AI teams . Hands-on with deep learning, NLP, LLMs , and classical ML techniques. Fluent in model experimentation, tuning, optimisation , and evaluation at scale. Solid software engineering background and comfort working with data and full-stack teams . Experience with cloud platforms (GCP, AWS, Azure) and production-grade ML pipelines. Bias for action willing to jump into code, data, or ops to ship impactful AI products . Your skills and experience PhD in Computer Science, Data Science, Machine Learning, AI, or a related field. Strong programming skills in Python (preferred), with experience in Java, Scala, or Go a plus. Deep expertise with ML frameworks like TensorFlow, PyTorch, Scikit-learn. Experience with large-scale datasets , distributed data processing (e.g. Spark, Beam, Airflow). Solid foundation in data science statistical modeling, A/B testing, time series, and experimentation. Proficient in NLP, deep learning , and working with transformer-based LLMs . Experience with MLOps practices CI/CD, model serving, monitoring, and lifecycle management. Hands-on with cloud platforms (GCP, AWS, Azure) and tools like Vertex AI, SageMaker, or Databricks. Strong grasp of API design , system integration, and delivering AI features in full-stack products. Comfortable working with SQL/NoSQL , and data warehouses like BigQuery or Snowflake. Familiar with ethical AI, model explainability , and secure, privacy-aware AI development How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs