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As a .Net AI Developer at Unified Cloud Pvt. Ltd., you will be an integral part of the Azure Open AI Solution Team in Noida. Unified Cloud LLC, a leading provider of cloud modernization and migration services focusing on Azure technologies, is looking for an experienced professional to enhance their cloud services with AI-driven innovation. Your responsibilities will include creating and maintaining web-based applications using cutting-edge .NET technologies such as ASP.NET, C#, MVC, and Web API. Collaborating with the team, you will define software requirements and technical designs while ensuring clean, efficient, and well-documented code adhering to industry best practices. Additionally, you will implement front-end interfaces using HTML, CSS, and JavaScript frameworks like Angular, React, or Vue.js, along with designing and optimizing relational databases for optimal performance. To excel in this role, you should demonstrate proficiency in SQL, MVC, .NET, and Azure Cloud, with expertise in AI/ML technologies, especially Azure OpenAI. Your programming skills in languages like C#, Python, and R will be crucial, along with familiarity in AI technologies such as LLM, NLP, and DL. A comprehensive understanding of cloud services, particularly Azure, and adaptability to a dynamic work environment are essential. Preferred skills include experience with Azure OpenAI, general AI, and Generative AI, as well as knowledge of other cloud platforms like GCP and AWS. If you are passionate about cloud technology and AI-driven innovation, and if you meet the requirements mentioned above, we encourage you to apply. Please submit your resume and a cover letter highlighting your relevant experience and contributions you can bring to our team. For more details or to apply for this position, please contact us at snehlataj@unifycloud.com.,

As a Sr. DevOps Engineer, you will be responsible for designing, implementing, and managing scalable cloud infrastructure using AWS and GCP. Your key duties will include developing and maintaining CI/CD pipelines for efficient deployment processes, automating DevOps processes to enhance operational efficiency, and managing and optimizing resources such as RDS, EC2, ELB, and API Gateway. Collaboration with cross-functional teams to deliver high-quality software solutions will also be a part of your role. Your technical skills should include strong hands-on experience with AWS and GCP, proficiency in auto-scaling and DevOps automation practices, knowledge of CI/CD methodologies and tools, familiarity with RDS, EC2, ELB, and API Gateway, and an understanding of PCI DSS, SAR, DL, and other information security standards. In terms of experience and soft skills, we are looking for candidates with 5 to 8 years of relevant experience in DevOps or a similar role. Strong problem-solving skills, a results-oriented mindset, and the ability to produce high-quality products that drive organizational success are essential for this position. To be eligible for this role, you should hold a Bachelor's degree in Computer Science, Electronics, or a related field, or MCA. If you are a passionate technologist looking to make a difference, we would love to hear from you!,

What is the Director - Research Scientist AI & Optimization responsible for? The core mandate of this role is to bring innovative digital investment products and solutions to market, leveraging a patented and innovative digital WealthTech/FinTech product - Goals Optimization Engine (GOE) - built with several years of academic research in mathematical optimization, probability theory and AI techniques at its core. The mandate also extends to leveraging cutting edge AI, such as Generative AI, in addition to Reactive AI to create value within various business functions within Franklin Templeton such as Investment Solutions, Portfolio Management, Sales & Distribution, Marketing, and HR functions, among others, in a responsible and appropriate manner. The possibilities are limitless here and present a fantastic opportunity for a self-motivated and driven professional to make significant contributions to the organization and to themselves. What are the ongoing responsibilities of a Director - Research Scientist AI & Optimization? As a Principal Research Scientist - AI and Optimization, you will play a pivotal role in driving innovation, product research, and proof of concepts for our AI research and Goals Optimization Engine (GOE) product roadmap. You will be responsible for mentoring and guiding a team of highly motivated research scientists, creating intellectual property, and ensuring successful client deployments and product development. Key Responsibilities: Innovation, Product Research, Proof of Concepts, Pseudocode & Design (40%): Lead and contribute to the multi-year Goals Optimization Engine (GOE) product roadmap, conceptualizing fitment against various industry use cases, creating product variants, and designing new features and enhancements across multiple distribution lines and geographies Mentor and guide a team of research scientists to achieve common objectives Serve as the Subject Matter Expert (SME) for a specific domain within AI and/or Optimization, acting as the go-to person for all internal stakeholders Develop pseudocode and working prototypes in a Python environment, collaborating closely with Product Managers and Product Developers Create well-articulated design documents and presentations to explain research to internal and external stakeholders, including clients and partners located globally Lead industry research and evaluate partnerships with third-party vendors and specialized service providers where appropriate Maintain a thorough understanding of boundary conditions, regulatory environments, data challenges, technology integrations, algorithmic dependencies, and operational process nuances to ensure nothing slips through the cracks Stay up to date with the latest developments in the Investment Management industry, Financial Mathematics, Portfolio Construction, and Portfolio Management IP Creation, Paper Writing, and Thought Leadership (30%): Conceptualize and produce high-quality intellectual property for publication in top-tier academic and practitioner journals Peer-review the work of other research scientists and improve the outcome of their research output Create patent-worthy intellectual content, apply for patents, and win them Take responsibility for winning industry awards for exceptional product research and innovative work products Stay informed about the latest industry research and evaluate it objectively and in an unbiased manner Publish research works for conferences Client Deployment, Product Development, and Vendor Due Diligence (30%): Act as the SME in initial client deployment discussions, showcasing the rigor of research, explaining the product or solution concept, and engaging in discussions with similar individuals/teams from the client/partner side Contribute to product development by ensuring alignment with research and design Provide hands-on support where required to complete time-critical work successfully Engage with third-party vendors and potential integration partners to understand their capabilities, methodologies, and algorithms, and perform rigorous due diligence to make clear recommendations on Go/No-Go decisions What ideal qualifications, skills & experience would help someone to be successful? Education: Bachelor's and master's degree in STEM disciplines; a PhD in a relevant discipline (Optimization, Probability, Quant Finance, AI & ML, Computational Mathematics, Statistics, etc.) would be a + Relevant industry certifications Experience - Core Skills: 10+ years of applied R &D experience in research departments of reputed organizations post-Masters or PhD Track record of real innovation generating impact is essential Demonstrated ability to create intellectual content, publish papers, and obtain patents Ability to effectively bridge the gap between academia and practice, ensuring research is practical and implementable Structured thinking and exceptional mathematical skills Excellent team player with the ability to work with ambiguity and thrive in chaos Familiarity with ML/DL/DRL, NLP, especially Large Language Models, dynamic programming, and/or convex optimization Solid experience with AWS and/or Azure Familiar with Python, PySpark, SQL, Hadoop, C++ Experience - Other Soft Skills: Proven ability to take initiative and work under pressure in a changing, fast paced environment Exceptional decision-making skills, with the ability to prioritize across needs given limited resources Thrives in a startup-like environment: loves dealing with a fast pace and changing needs Ability to build relationships both inside and outside of the product organization Ability to narrate a story for a problem along with the capacity to dive into minute details Superlative communication and consensus-building skills Work Shift Timings - 2:00 PM - 11:00 PM IST

Lead Engineer- NLP: Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development and work-life balance. About Innovation and Technology Centre (ITC) Our Innovation and Technology Centre specializes in creating modular solutions to meet clients' specific needs. As a member of the team, you will have the opportunity to develop and implement digital products, platforms, and tools specifically designed for research, analytics, and data management domains. We are at the forefront of technological advancements, and our AI efforts rely on our larger platform called AI for Research and Analytics (AIRA). What you will be doing at Evalueserve Building and implementing advanced machine learning (ML) and deep learning (DL) algorithms and models Applying different natural language processing (NLP) techniques to problems such as text classification, text summarization, questions and answers, information retrieval, knowledge extraction, and design of conversational bots by using traditional and generative AI techniques Contributing to the design and development of enterprise-grade generative AI applications, including but not limited to advanced RAG, VDB optimization, LLM evaluation, and finetuning Designing and developing a practical and analytical approach while maintaining a focus on aspects such as data quality and availability, feasibility, scalability, and turnaround time. What were Looking for At least a bachelors / master`s degree in computer science, information systems, statistics, mathematics, or a related field Strong understanding of data science processes, such as data investigation, cleaning, minimal viable models, and nuances related to the deployment and enhancement. About 8-12 years of experience in NLP, ML, and DL More than one year of experience in generative AI application development at the production level. Demonstrated ability in developing NLP / ML / DL / generative AI project solutions. Hands-on experience and deep theoretical expertise in NLU, NLP, NLG, and common NLP algorithms and DL architectures such as Transformers, BERT, word2vec, FastText, and ELMO Hands-on experience in building and handling product-level delivery of knowledge graphs, ranking algorithms, recommendation engines, etc In-depth knowledge and experience in handling open-source frameworks, such as TensorFlow, PyTorch, and Hugging face Transformers. Expert-level programming experience in Python / C++ Familiarity with general software design concepts, product development lifecycles, and ML model deployment best practices Experience in analyzing large amounts of user-generated content and process data in large-scale environments by using cloud infrastructure Proficiency in scraping data from external sources and developing architectures to store and organize the information for generating insights Experience in contributing to open-source software projects Experience and tenacity to go beyond available tools / techniques to design solutions in line with product requirements Ability to communicate with internal and external stakeholders and convey complex information clearly and concisely Understanding of the cultural differences and work styles in a global environment. Follow us on https://www.linkedin.com/compan y/evalueserve/ Click here to learn more about what our Leaders talking on achievements AI-powered supply chain optimization solution built on Google Cloud. How Evalueserve is now Leveraging NVIDIA NIM to enhance our AI and digital transformation solutions and to accelerate AI Capabilities . Know more about ho w Evalueserve has climbed 16 places on the 50 Best Firms for Data Scientists in 2024! Want to learn more about our culture and what its like to work with us? Write to us at: careers@evalueserve.com Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances. Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure all information is factual and submitted on time. For any assistance, your TA SPOC is available to support you.

You will be responsible for functions, activities, and skills required for the analysis, design, coding, integration, test & maintenance of Intelligent Document Processing modules and systems. Your main focus will be on building NLP based solutions for query and document analysis, processing, information extraction, document classification, and context-based information retrieval. Additionally, you will conduct research to advance the state-of-the-art Deep learning and NLP technologies. Your role will involve building knowledge of the organization, processes, and customers. You should have knowledge and experience in your own discipline while continuously acquiring higher-level knowledge and skills. You will receive a moderate level of guidance and direction, with moderate decision-making authority guided by policies, procedures, and business operations protocol. In terms of technical skills, you should have proficiency and experience working in the technical area of Intelligent Document Processing, including Digitization, OCR/ICR/OMR, LLM, Classification Methodologies, Data Extraction Methodologies, ML, AI, DL, NLP, etc. Experience in designing & developing highly scalable templates and training documents on IDP for efficient data extraction from semi/un-structured PDFs or images is essential. Familiarity with Docker, flask APIs, Redis, and Celery is a must. You will closely work with Solution Architects/Team leads, prepare technical design documents, and implement automated deployment. Understanding and practicing AGILE Methodologies, Software Development Lifecycle (SDLC) using Code Management & Release Tools (MS DevOps, Github, Team Foundation Server), working with Relational Databases, SQL Scripting (MS SQL Server), and clear understanding of Architecture and infra requirements are crucial for this role. Experience or proficiency in Python would be useful for this position. This is a fully remote position.,

AI Developer Req number: R5796 Employment type: Full time Worksite flexibility: Hybrid Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We’re seeking an AI Developer who specializes in agentic AI frameworks—Langchain, LangGraph, CrewAI, or equivalents—and who can take both vision and language models from prototype to production. You will lead the design of multi agent systems that coordinate perception (image classification & extraction), reasoning, and action, while owning the end-to-end deep learning life cycle (training, scaling, deployment, and monitoring). This is a Full-time and Hybrid position. Job Description What You’ll Do Agentic AI Frameworks (Primary Focus): Architect and implement multiagent workflows using Langchain, LangGraph, CrewAI, or similar. Design role hierarchies, state graphs, and tool integrations that enable autonomous data processing, decisionmaking, and orchestration. Benchmark and optimize agent performance (cost, latency, reliability). Image Classification & Extraction: Build and finetune CNN/ViT models for classification, detection, OCR, and structured data extraction. Create scalable dataingestion, labelling, and augmentation pipelines. LLM FineTuning & RetrievalAugmented Generation (RAG): • Finetune openweight LLMs with LoRA/QLoRA, PEFT; perform SFT, DPO, or RLHF as needed. Implement RAG pipelines using vector databases (FAISS, Weaviate, pgvector) and domainspecific adapters. Deep Learning at Scale: Develop reproducible training workflows in PyTorch/TensorFlow with experiment tracking (MLflow, W&B). Serve models via TorchServe/Triton/KServe on Kubernetes, SageMaker, or GCP Vertex AI. MLOps & Production Excellence: Build robust APIs/microservices (FastAPI, gRPC). Establish CI/CD, monitoring (Prometheus, Grafana), and automated retraining triggers. Optimize inference on CPU/GPU/Edge with ONNX/TensorRT, quantization, and pruning. Collaboration & Mentorship: Translate product requirements into scalable AI services. Mentor junior engineers, conduct code and experiment reviews, and evangelize best practices. What You'll Need B.S./M.S. in Computer Science, Electrical Engineering, Applied Math, or related discipline. 5+ years building production ML/DL systems with strong Python & Git. Demonstrable expertise in at least one agentic AI framework (Langchain, LangGraph, CrewAI, or comparable). Proven delivery of computervision models for image classification/extraction. Handson experience finetuning LLMs and deploying RAG solutions. Solid understanding of containerization (Docker) and cloud AI stacks (AWS/Azure). Knowledge of distributed training, GPU acceleration, and performance optimization. Physical Demands This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc. Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor. Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Introduction to the Role: Are you passionate about building intelligent systems that learn, adapt, and deliver real-world value? Join our high-impact AI & Machine Learning Engineering team and be a key contributor in shaping the next generation of intelligent applications. As an AI/ML Engineer , youll have the unique opportunity to develop, deploy, and scale advanced ML and Generative AI (GenAI) solutions in production environments, leveraging cutting-edge technologies, frameworks, and cloud platforms . In this role, you will collaborate with cross-functional teams including data engineers, product managers, MLOps engineers, and architects to design and implement production-grade AI solutions across domains. If you're looking to work at the intersection of deep learning, GenAI, cloud computing, and MLOps this is the role for you. Accountabilities: Design, develop, train, and deploy production-grade ML and GenAI models across use cases including NLP, computer vision, and structured data modeling. Leverage frameworks such as TensorFlow , Keras , PyTorch , and LangChain to build scalable deep learning and LLM-based solutions. Develop and maintain end-to-end ML pipelines with reusable, modular components for data ingestion, feature engineering, model training, and deployment. Implement and manage models on cloud platforms such as AWS , GCP , or Azure using services like SageMaker , Vertex AI , or Azure ML . Apply MLOps best practices using tools like MLflow , Kubeflow , Weights & Biases , Airflow , DVC , and Prefect to ensure scalable and reliable ML delivery. Incorporate CI/CD pipelines (using Jenkins, GitHub Actions, or similar) to automate testing, packaging, and deployment of ML workloads. Containerize applications using Docker and orchestrate scalable deployments via Kubernetes . Integrate LLMs with APIs and external systems using LangChain, Vector Databases (e.g., FAISS, Pinecone), and prompt engineering best practices. Collaborate closely with data engineers to access, prepare, and transform large-scale structured and unstructured datasets for ML pipelines. Build monitoring and retraining workflows to ensure models remain performant and robust in production. Evaluate and integrate third-party GenAI APIs or foundational models where appropriate to accelerate delivery. Maintain rigorous experiment tracking, hyperparameter tuning, and model versioning. Champion industry standards and evolving practices in ML lifecycle management , cloud-native AI architectures , and responsible AI. Work across global, multi-functional teams, including architects, principal engineers, and domain experts. Essential Skills / Experience: 4-7 years of hands-on experience in developing, training, and deploying ML/DL/GenAI models . Strong programming expertise in Python with proficiency in machine learning , data manipulation , and scripting . Demonstrated experience working with Generative AI models and Large Language Models (LLMs) such as GPT, LLaMA, Claude, or similar. Hands-on experience with deep learning frameworks like TensorFlow , Keras , or PyTorch . Experience in LangChain or similar frameworks for LLM-based app orchestration. Proven ability to implement and scale CI/CD pipelines for ML workflows using tools like Jenkins , GitHub , GitLab , or Bitbucket Pipelines . Familiarity with containerization (Docker) and orchestration tools like Kubernetes . Experience working with cloud platforms (AWS, Azure, GCP) and relevant AI/ML services such as SageMaker , Vertex AI , or Azure ML Studio . Knowledge of MLOps tools such as MLflow , Kubeflow , DVC , Weights & Biases , Airflow , and Prefect . Strong understanding of data engineering concepts , including batch/streaming pipelines, data lakes, and real-time processing (e.g., Kafka ). Solid grasp of statistical modeling , machine learning algorithms , and evaluation metrics. Experience with version control systems (Git) and collaborative development workflows. Ability to translate complex business needs into scalable ML architectures and systems. Desirable Skills / Experience: Working knowledge of vector databases (e.g., FAISS , Pinecone , Weaviate ) and semantic search implementation. Hands-on experience with prompt engineering , fine-tuning LLMs, or using techniques like LoRA , PEFT , RLHF . Familiarity with data governance , privacy , and responsible AI guidelines (bias detection, explainability, etc.). Certifications in AWS, Azure, GCP, or ML/AI specializations. Experience in high-compliance industries like pharma , banking , or healthcare . Familiarity with agile methodologies and working in iterative, sprint-based teams. Work Environment & Collaboration: You will be a key member of an agile, forward-thinking AI/ML team that values curiosity, excellence, and impact. Our hybrid work culture promotes flexibility while encouraging regular in-person collaboration to foster innovation and team synergy. You'll have access to the latest technologies, mentorship, and continuous learning opportunities through hands-on projects and professional development resources.

Role & Responsibilities: Should be able to code in Python and work with simple to complex SQL Work as independent contributor in building AI solutions using latest tech stack. Should be able to research, learn and implement latest models in AI and GenAI Identify, analyse, and interpret trends or patterns in complex datasets. Collaborate with team, to prioritize business and information needs. Serve as a consultant for clients nationwide. Identify and define process improvement opportunities. Excellent problem-solving ability and verbal communication. Experience Atleast 3 years of relevant experience in Building AI solutions. Proficiency in programming languages such as Python, FastAPI, SQL or PySpark(good to have) Experience in developing conversational AI or virtual assistant applications. Proven experience in building and deploying applications using LLMs like OpenAI GPT-4o, Claude, Llama, Grok, Gemini or similar Hands-on experience in building GenAI Applications. Good to have working experience in building Agentic AI applications. Familiarity with acquiring and managing huge and complex data from various sources, including structured and unstructured data sources. Extensive experience with Cloud platforms, particularly Microsoft Azure. Knowledge of natural language processing (NLP) and information retrieval Have knowledge and hands-on experience with LangChain Framework, Azure OpenAI, Azure AI Search Service, Indexing, and Embedding techniques Good to have Application development experience using AI models and API integrations. Hands-on experience in AI, ML and Deep Learning algorithms like Regression, Decision Trees, Neural networks Experience in working with Azure Cosmos DB, Azure Blobs, Azure Functions, and App Service

We are seeking a highly skilled Quality Engineer Data to ensure the reliability, accuracy, and performance of data pipelines and AI/ML models within our SmartFM platform . This role is critical to delivering trusted data and actionable insights that drive smart building optimization and operational efficiency. Key Responsibilities: Design and implement robust QA strategies for data pipelines , ML models , and agentic workflows . Test and validate data ingestion and streaming systems (e.g., StreamSets , Kafka ) for accuracy, completeness, and resilience. Ensure data integrity and schema validation within MongoDB and other data stores. Collaborate with Data Engineers to proactively identify and resolve data quality issues. Partner with Data Scientists to validate ML/DL/LLM model performance, fairness, and robustness. Automate testing processes using frameworks such as Pytest , Great Expectations , and Deepchecks . Monitor production pipelines for anomalies, data drift , and model degradation . Participate in code reviews , QA audits, and maintain comprehensive documentation of test plans and results. Continuously evaluate and improve QA processes based on industry best practices and emerging trends. Required Technical Skills: 510 years of QA experience with a focus on data validation and ML model testing . Strong command of SQL for complex data queries and integrity checks. Practical experience with StreamSets , Kafka , and MongoDB . Proficient in Python scripting for automation and testing. Familiarity with ML testing metrics , model validation techniques, and bias detection . Exposure to cloud platforms such as Azure , AWS , or GCP . Working knowledge of QA tools like Pytest , Great Expectations , and Deepchecks . Understanding of Node.js and React-based applications is an added advantage. Additional Qualifications: Excellent communication , documentation , and cross-functional collaboration skills. Strong analytical mindset and high attention to detail. Ability to work with cross-disciplinary teams including Engineering, Data Science, and Product. Passion for continuous learning and adoption of new QA tools and methodologies. Domain knowledge in facility management , IoT , or building automation systems is a strong plus.

Promote products through field visits, manage client relations, identify new opportunities, collaborate with the team, travelling atleast 4 days in a week and ensure accurate sales reporting. Perks and benefits Salary 15k-20k & expense reimbursement on actuals.

You will be responsible for the role of Collection Executive. The ideal candidate should be up to 30 years old and possess any degree or have completed 12th grade. It is mandatory to have a valid Driving License (DL) or Learner's License (LLR). Candidates who can join immediately will be given preference. This is a full-time and permanent position. As a Collection Executive, you will be entitled to benefits such as health insurance, paid time off, and Provident Fund. The work schedule will be during day shift hours. In addition to the base salary, you will have the opportunity to earn performance bonuses on a quarterly and yearly basis. The preferred education requirement for this role is Higher Secondary (12th Pass), and having a total work experience of 1 year is an advantage. The work location will be in person. If you meet the qualifications and are looking for a challenging role in collections, this opportunity may be the right fit for you.,

Mandatory Skill : Gen AI, LLM, GPT-3, RAG, Lang chain, Llama, AI/ML, DL, NLP or Computer Vision, Python, Tensorflow, Pytorch, Django, Keras, Pandas, NumPy Preferred Skill: AWS or GCP or Azure Cloud, MLOps, GPT-4, SQL, Scikit-learn, Matplotlib, Seaborn, Hadoop, Spark, or Apache Flink, Banking exposure Required Skill Programming Languages: Proficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc. Machine Learning: Strong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning. Data Science: Experience with data analysis, data visualization, and statistical modeling. Proficiency in using tools like Pandas, NumPy, Matplotlib, and Seaborn. Big Data Technologies: Familiarity with big data processing frameworks like Hadoop, Spark, or Apache Flink. Cloud Platforms: Experience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions. Natural Language Processing (NLP): Knowledge of NLP techniques and tools such as NLTK, SpaCy, or GPT-3. Computer Vision: Experience with computer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN. Problem-Solving: Strong analytical and problem-solving skills with the ability to think critically and creatively. Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Team Collaboration: Ability to work effectively in a collaborative team environment and contribute to team success.

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client"s challenges of today and tomorrow.Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your role As a Senior Data Scientist, you are expected to develop and implement Artificial Intelligence based solutions across various disciplines for the Intelligent Industry vertical of Capgemini Invent. You are expected to work as an individual contributor or along with a team to help design and develop ML/NLP models as per the requirement. You will work closely with the Product Owner, Systems Architect and other key stakeholders right from conceptualization till the implementation of the project. You should take ownership while understanding the client requirement, the data to be used, security & privacy needs and the infrastructure to be used for the development and implementation. The candidate will be responsible for executing data science projects independently to deliver business outcomes and is expected to demonstrate domain expertise, develop, and execute program plans and proactively solicit feedback from stakeholders to identify improvement actions. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams. The role also requires the candidate to collaborate on ML asset creation and eager to learn and impart trainings to fellow data science professionals. We expect thought leadership from the candidate, especially on proposing to build a ML/NLP asset based on expected industry requirements. Experience in building Industry specific (e.g. Manufacturing, R&D, Supply Chain, Life Sciences etc), production ready AI Models using microservices and web-services is a plus. Programming Languages Python NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud Azure/AWS/GCP Your Profile Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Model Deployment ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Required Qualifications Masters degree in a quantitative field such as Mathematics, Statistics, Machine Learning, Computer Science or Engineering or a bachelors degree with relevant experience. Good experience in programming with languages such as Python/Java/Scala, SQL and experience with data visualization tools like Tableau or Power BI. Preferred Experience Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. Presupposition High Impact client communication The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

Job Area: Engineering Group, Engineering Group > Systems 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 Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. 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. Candidate should have 10+ years of experience Experience in C/C++, Computer vision/ Image processing is must Experience in camera technology, ML/DL is good to have Experience in Embedded/arm programming is good to have but not necessary Responsibilities The job responsibilities may include a subset of the following Designing computer vision /image processing for mobile devices Designing and evaluating algorithms to be implemented in hardware on software prototypes Developing or Optimizing image processing and computer vision algorithms for HW acceleration Support product teams for commercialization, such as solution optimization, performance profiling and benchmarking. Test regression and release support Preferred Qualifications: Exposure or working experience in Vision or Multimedia accelerators Working experience with image processing algorithms. Knowledge/working experience in computer vision algorithms Strong knowledge in data structures and working experience with C/C++ programming Software optimizations experience in various SIMD and multi-threading Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

As an AI/ML Engineer (Python) at Telepathy Infotech, you will be responsible for building and deploying machine learning and GenAI applications in real-world scenarios. You will be part of a passionate team of technologists working on innovative digital solutions for clients across industries. We value continuous learning, ownership, and collaboration in our work culture. To excel in this role, you should have strong Python skills and experience with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. Experience in GenAI development using APIs such as Google Gemini, Hugging Face, Grok, etc. is highly desirable. A solid understanding of ML, DL, NLP, and LLM concepts is essential along with hands-on experience in Docker, Kubernetes, and CI/CD pipeline creation. Familiarity with Streamlit, Flask, FastAPI, MySQL/PostgreSQL, AWS services (EC2, Lambda, RDS, S3, API Gateway), LangGraph, serverless architectures, and vector databases like FAISS, Pinecone, will be advantageous. Proficiency in version control using Git is also required. Ideally, you should have a B.Tech/M.Tech/MCA degree in Computer Science, Data Science, AI, or a related field with at least 1-5 years of relevant experience or a strong project/internship background in AI/ML. Strong communication skills, problem-solving abilities, self-motivation, and a willingness to learn emerging technologies are key qualities we are looking for in candidates. Working at Telepathy Infotech will provide you with the opportunity to contribute to impactful AI/ML and GenAI solutions while collaborating in a tech-driven and agile work environment. You will have the chance to grow your career in one of India's fastest-growing tech companies with a transparent and supportive company culture. To apply for this position, please send your CV to hr@telepathyinfotech.com or contact us at +91-8890559306 for any queries. Join us on our journey of innovation and growth in the field of AI and ML at Telepathy Infotech.,

Job Description: As an AI / ML / DL Domain Expert with 5 to 15 years of experience, your primary responsibility will be to explore various areas where machine learning technology can be applied effectively. You will be tasked with developing measures for collecting data for model learning and evaluation purposes. This will involve data collection, data pre-processing, and feature extraction algorithms development based on data characteristics, as well as modeling and pattern recognition algorithm development. You will need to optimize data analysis software, design performance evaluation measures, and evaluate the effectiveness of the developed applications. Your role will also include analyzing data collected in real-world scenarios using software, measuring processes, and assessing the potential impact of applying machine learning technology. Additionally, you will be responsible for collecting and managing training data to train machine learning algorithms effectively. Furthermore, you will be required to develop data pre-processing algorithms to ensure that collected data features are utilized efficiently and unnecessary complexities are minimized. Implementing suitable machine learning models or algorithms based on the application's requirements will be crucial. You will also need to develop performance evaluation measures to assess and maintain the efficiency of the applications developed. Moreover, your role will involve securing and managing large-scale computing resources, particularly computing servers necessary for algorithms that demand substantial computing resources such as deep learning and extensive data processing. Additionally, as a seasoned professional in this field, you are expected to have a profound understanding of the job and apply your knowledge and skills to complete a wide range of tasks independently. You will often work on moderately difficult assignments that require your judgment in issue resolution and decision-making. You are expected to work with minimal supervision on your daily tasks, while receiving general instructions for newly introduced assignments. Your expertise in AI, ML, and DL domains will be instrumental in driving innovations and solutions within the organization.,

The Spec Analytics Intmd Analyst role is a developing professional position that requires dealing with problems independently and having the latitude to solve complex issues. It involves integrating specialty area knowledge with industry standards and practices, understanding team integration for accomplishing objectives, and applying analytical thinking and data analysis tools. Attention to detail is crucial for making judgments and recommendations based on factual information, along with professional judgment when interpreting data. The role involves communicating information in a systematic manner, utilizing communication and diplomacy skills, and impacting business activities closely. The quality and timeliness of service provided will affect the effectiveness of the team and closely related teams. The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience, and Sales functions within the global Treasury & Trade Services business. The team focuses on enhancing client experience, driving acquisitions, cross-sell, and revenue growth by extracting relevant insights, identifying business opportunities, and using big data tools and AI/ML techniques to achieve data-driven business outcomes. As a Spec Analytics Intmd Analyst (C11) in the TTS Analytics team, the role involves working on multiple analyses throughout the year on various business problems across client experience for the TTS business. This includes leveraging different analytical approaches, tools, and techniques, working with multiple data sources, and providing data-driven insights to business partners. Endless curiosity, ideation on analytical projects, and working with large and complex data sets are essential aspects of the role. The incumbent will work with internal and external data sets, recommend business strategies, document data requirements, perform data collection/processing/cleaning, explore data analysis, and assess risk for business decisions. Building partnerships with cross-functional leaders and ensuring compliance with applicable laws and regulations are also key responsibilities of the role. Qualifications for this position include 5-8 years of relevant experience in data science, substantial experience in resolving business problems, utilizing text data for deriving business value, working with Python and SQL extensively, and having a master's degree in Engineering, Technology, Statistics, Economics, or similar quantitative disciplines. Strong analytical skills, proficiency in converting business problems into analytical tasks, hands-on experience with data retrieval and manipulation, and expertise in tools like Python, SQL, and PySpark are required. Good to have skills include prior experience in the Customer experience domain, working on developing Agentic AI solutions, and experience with Tableau. This job description offers a high-level overview of the work performed, and additional job-related duties may be assigned as needed.,

We are seeking a Computational Linguist with exceptional analytical capabilities, a solid foundation in linguistics, and extensive expertise in language technology to contribute to the enhancement and development of language products. As a Computational Linguist, your primary responsibility will involve collaborating closely with engineers, researchers, and language experts. Key Requirements: - Educational background in natural language processing, computational linguistics (CL), linguistics, or related disciplines at the Bachelors/Masters/PhD level. - Minimum of 2 years of hands-on experience in the industry. - Profound comprehension of English grammar and style. - Demonstrated passion for problem-solving and a relentless drive to explore innovative solutions. - Prior experience in Natural Language Processing (NLP) and Computational Linguistics (CL). - Familiarity with Deep Learning (DL) and Machine Learning (ML). - Proficiency in programming languages such as Java, C, C++, or Python. - Desirable to have authored publications in reputable NLP or AI conferences. If you are enthusiastic about this opportunity, please send us an email at hr@crimsoni.ai.,

The Specialized Analytics Intermediate Analyst role at Citi is a developing professional position that involves dealing with problems independently and having the flexibility to solve complex issues. This role requires integrating specialized knowledge with industry standards and practices, understanding how the team collaborates with others to achieve objectives, and applying analytical thinking along with data analysis tools. Attention to detail is crucial for making judgments and recommendations based on factual information, and dealing with variable issues with potential business impact. The TTS Analytics team at Citi provides analytical insights to various functions within the global Treasury & Trade Services business, such as Product, Pricing, Client Experience, and Sales. The team focuses on enhancing client experience, driving acquisitions, cross-sell, and revenue growth by extracting relevant insights, identifying business opportunities, and using big data tools and AI/ML techniques to achieve data-driven business outcomes in collaboration with business and product partners. As a Specialized Analytics Intermediate Analyst (C11) in the TTS Analytics team, the role involves working on multiple analyses throughout the year to address business problems related to client experience. This includes leveraging various analytical approaches, tools, and techniques, working with multiple data sources, and providing data-driven insights to business partners and stakeholders. The role requires endless curiosity, working with large and complex data sets, evaluating, recommending, and supporting the implementation of business strategies. Key responsibilities include ideation on analytical projects, working with structured and unstructured data, documenting data requirements, data processing, cleaning, exploratory data analysis, statistical models/algorithms, data visualization techniques, and assessing risks when making business decisions. Building partnerships with cross-functional leaders is also essential. Qualifications for this role include 5-8 years of relevant experience in data science, substantial experience in resolving business problems in the financial services industry, utilizing text data for business value using NLP and LLM, developing analytical tools, applying ML, DL, and Gen AI techniques, working with complex data sources, and proficiency in Python and SQL. Skills required include strong analytical skills, logical reasoning, problem-solving ability, formulating analytical methodology, identifying trends and patterns, and manipulating data from big data environments. A Master's degree in Engineering, Technology, Statistics, Economics, or similar quantitative disciplines is preferred. Proficiency in Python, SQL, PySpark, MS Excel, and PowerPoint is essential, with experience in Tableau considered a plus. This job description provides an overview of the work performed, and additional job-related duties may be assigned as required.,

Job Description: As an AI/ML/DL Domain Expert with 5 to 15 years of experience, you will explore various areas to apply machine learning technology. Your responsibilities will include developing measures for collecting data used for model learning and evaluation. You will also be involved in data collection, data pre-processing, and feature extraction algorithms development, as well as modelling and pattern recognition algorithm implementation by reflecting data characteristics. Your expertise will be crucial in optimizing data analysis software, developing performance evaluation measures, and evaluating the effectiveness of the models. You will be supporting the analysis of collected data using software in real-world situations, measuring processes, and determining the feasibility and impact of integrating machine learning technology. Additionally, you will play a key role in collecting and managing training data that is essential for training machine learning algorithms effectively. Your tasks will involve developing data pre-processing algorithms that leverage the features of the collected data, simplifying unnecessary complexities. You will also contribute to developing modelling and pattern recognition algorithms tailored to the specific application requirements. Furthermore, you will be responsible for creating performance evaluation measures to assess and maintain the efficacy of the developed applications. In this role, you will manage large-scale computing resources, ensuring the efficient utilization of computing servers for algorithms that demand substantial computational resources, such as deep learning and processing massive datasets. Additional Job Description: As a seasoned professional in the field, you are expected to have a deep understanding of the job requirements and utilize your knowledge and skills to tackle a wide range of tasks. You will be assigned moderately challenging tasks that may require your judgment in issue resolution or recommendations. Typically, you will work with minimal supervision on daily tasks and receive general guidance on new assignments. Your ability to apply your expertise effectively will be essential in accomplishing the tasks at hand.,

Key Responsibilities: Contact customers via phone, email, or field visits to follow up on overdue loans. Maintain records of all communications and payments. Negotiate and arrange repayment plans or settlements when needed. Coordinate with the legal team for accounts requiring litigation. Investigate and resolve discrepancies or customer complaints related to loans. Monitor aging reports and take timely action on delinquent accounts. Conduct field visits as necessary to recover dues. Ensure adherence to company policies and regulatory requirements. Prepare and submit periodic reports to management regarding recovery status and KPIs. Recommend loans for write-offs or legal action where applicable. Qualifications and Skills: Strong negotiation and communication skills. Ability to work under pressure and handle difficult clients professionally. Field collection experience is an advantage. Fluency in Hindi Interested candidates kindly share your updated resume - amrita.singh@manpower.co.in

Min Exp -8+years Domain - Pharmaceutical Location - Pan India Overview We are looking for a Deputy Manager/Group Manager in Advanced Analytics for the Lifesciences/Pharma domain. The person will lead a dynamic team focused on assisting clients in Marketing, Sales, and Operations through advanced data analytics. Proficiency in ML & DL Algorithms, NLP, Generative AI, Omni Channel Aalytics and Python/R/SAS is essential. Roles and Responsibilities summary: Partner with the Clients Advanced Analytics team to identify, scope, and execute advanced analytics efforts that answer business questions, solve business needs, and add business value. Examples include estimating marketing channel effectiveness or estimating sales force sizing. Maintain a broad understanding of pharmaceutical sales, marketing and operations and develop analytical solutions in these areas. Stay current with respect to statistical/mathematical/informatics modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected. POC development for building internal capabilities and standardization of common modeling processes. Lead & guide the team independently or with little support to implement & deliver complex project assignments. Provide strategic leadership to the team by building new capabilities within the group and identifying business opportunities. Provide thought leadership by contributing to whitepapers and articles at the BU and organization level. Developing and delivering formal presentations to senior clients in both delivery and sales situations Additional Information: - Interpersonal communication skills for effective customer consultation - Teamwork and leadership skills - Self-management skills with a focus on results for timely and accurate completion of competing deliverables - Make the impossible possible in quest to make life better. - Bring Analytics to life by giving it zeal and making it applicable to business. - Know, learn, and keep up-to-date on the statistical and scientific advances to maximize your impact. - Bring an insatiable desire to learn, to innovate, and to challenge yourself for the benefit of patients. Eligibility Criteria : Required Experience - Minimum of 4-10 years of experience in data analytics - 2-4 years of relevant experience in Healthcare/ Lifesciences/ Pharmaceutical domain would be an add-on. Technical Skills: Proficient in Python or R for statistical and machine learning applications. Expertise in a wide range of techniques, including Regression, Classification Decision Trees, Text Mining, Natural Language Processing, Bayesian Models, and more. Build & train neural network architectures such as CNN, RNN, LSTMs, Transformers. Experience in Omni Channel Analytics for predicting the Nest Best Action using the Advanced ML/DL/RL algorithms and Pharma CRM data Hands-on experience in NLP & NLG, covering topic modeling, Q&A, chatbots, and document summarization. Proficient in LLMs (e.g., GPT, Lang chain, llama index) and open-source LLMs Cloud PlatformsHands-on experience in Azure, AWS, GCP, with application development skills in Python, Docker, and Git. Good to have Skills: Exposure to big data technologies such as Hadoop, Hive MapReduce etc. Qualifications Basic Qualifications: .Tech / Masters in a quantitative discipline (e.g. Applied Mathematics, Computer Science, Bioinformatics, Statistics; Ops Research, Econometrics) Job Location

Agoda is an online travel booking platform that connects travelers worldwide with a vast network of 4.7M hotels, holiday properties, flights, activities, and more. As part of Booking Holdings and with 7,100+ employees from 95+ nationalities, Agoda fosters a diverse, creative, and collaborative work environment. Through a culture of experimentation and ownership, we strive to enhance our customers" ability to experience the world. At Agoda, our purpose is to bridge the world through travel, allowing people to enjoy, learn, and experience the amazing world we live in. Travel brings individuals and cultures closer, fostering empathy, understanding, and happiness. Our team consists of skilled, driven individuals from across the globe, united by a passion to make a meaningful impact. By leveraging innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. The Data department at Agoda is responsible for managing all data-related requirements for the company. We strive to enable and enhance the use of data through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We recruit top talent globally to tackle this challenge, providing them with the necessary knowledge and tools for personal growth and success while upholding our culture of diversity and experimentation. The role of the Data team is crucial as various stakeholders depend on us to empower their decision-making processes and improve the customer search experience. We are committed to enhancing customer experience, accelerating search results, and safeguarding against fraudulent activities. We are currently seeking ambitious and agile data scientists to join our Data Science and Machine Learning (AI/ML) team. In this role, you will work on challenging machine learning and big data platforms, processing 600B events daily and making 5B predictions. You will tackle real-world challenges such as dynamic pricing, real-time customer intent prediction, search result ranking optimization, content classification, personalized recommendations, and more. You will have the opportunity to work with one of the world's largest ML infrastructure, utilizing GPUs, CPU cores, and memory to drive innovations and improve user experiences. As a Data Scientist at Agoda, you will design, code, experiment, and implement models and algorithms to enhance customer experience, business outcomes, and infrastructure readiness. You will analyze vast amounts of customer data, user-generated events, supplier data, and pricing information to derive actionable insights for continuous improvements and innovation. Collaboration with developers and various business stakeholders is crucial for delivering high-quality results on a daily basis. Additionally, you will be tasked with researching, discovering, and implementing new ideas that can make a significant difference. To succeed in this role, you should have at least 4 years of hands-on data science experience, a strong understanding of AI/ML/DL and Statistics, proficiency in coding using open-source libraries and frameworks, and excellent skills in SQL, Python, PySpark, or Scala. The ability to lead, work independently, and collaborate in a multicultural environment is essential. A background in Computer Science, Operations Research, Statistics, or other quantitative fields is preferred, along with experience in NLP, image processing, recommendation systems, and data engineering. We welcome both local and international applications for this role, with full visa sponsorship and relocation assistance available for eligible candidates. Agoda is an equal opportunity employer committed to creating a diverse and inclusive workplace.,

Agoda is an online travel booking platform that connects travelers with a vast global network of 4.7M hotels, holiday properties, flights, activities, and more. As part of Booking Holdings and based in Asia, Agoda's diverse team of 7,100+ employees from 95+ nationalities in 27 markets fosters an environment rich in diversity, creativity, and collaboration. At Agoda, innovation is driven by a culture of experimentation and ownership to enhance the customer experience of exploring the world. The Data department at Agoda, headquartered in Bangkok, is responsible for overseeing all data-related requirements within the company. The primary objective is to enable and enhance the use of data through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. The Data team at Agoda consists of bright minds from around the world who are equipped with the necessary knowledge and tools to support the company's culture of diversity and experimentation. The team plays a critical role in empowering decision-making processes for business users, product managers, engineers, and other stakeholders, while also focusing on improving the search experience for customers and safeguarding against fraudulent activities. Agoda is seeking ambitious and agile data scientists to join the Data Science and Machine Learning (AI/ML) team in Bangkok. The role involves working on challenging machine learning and big data platforms, processing approximately 600B events daily and making 5B predictions. As part of this team, you will tackle real-world challenges such as dynamic pricing, customer intent prediction, personalized recommendations, and more. The role offers the opportunity to work with one of the world's largest ML infrastructure, employing advanced technologies like GPUs, CPU cores, and memory for innovation and user experience enhancement. In this role, you will have the opportunity to design, code, experiment, and implement models and algorithms to maximize customer experience, business outcomes, and infrastructure readiness. You will analyze vast amounts of data to derive actionable insights for driving improvements and innovation, collaborating with developers and various business owners to deliver high-quality results. Successful candidates will have hands-on data science experience, a strong understanding of AI/ML/DL and Statistics, proficiency in coding languages like Python, PySpark, and SQL, and excellent communication skills for multicultural teamwork. Preferred qualifications include a PhD or MSc in relevant fields, experience in NLP, image processing, recommendation systems, data engineering, and data science for e-commerce or OTA. Agoda welcomes applications from both local and international candidates, offering full visa sponsorship and relocation assistance for eligible individuals. Agoda is an Equal Opportunity Employer and keeps applications on file for future vacancies. For further information, please refer to the privacy policy on our website. Agoda does not accept third-party resumes and is not responsible for any fees related to unsolicited resumes.,

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: The Advanced Tech R&D team is looking for a research engineer with a passion for machine learning applied to generative audio, video, and natural language use cases. You will be working with a team of machine learning experts to develop advanced technology and solutions for mobile phones, headsets, and variety of IoT devices as well as cloud outlets. The team includes and works with algorithm, hardware and software engineers across company to develop, port newly designed solutions to real live prototypes shown at tradeshows and other customer events, and support commercialization activities in upcoming products. Responsibilities Develop innovative machine learning algorithms for Audio and speech generative models,; file corresponding papers and patent disclosures; achieve state-of-the-art performance and beyond in various /audio/NLP applications Combine features from multi-modalities such as video, audio, sensors, and location After successful demos to technical and business audiences, work with commercialization teams to transfer and deploy newly developed solutions onto Qualcomm platforms and customer devices Minimum Qualifications R&D experience of audio and speech generative networks, audio/speech synthesis, speech restoration, text to speech kind of models Familiarity with recent trends in machine learning (diffusion models, U-Nets, Transformer, BERT, BART, etc.) and traditional statistical modeling/feature extraction techniques Preferred Qualifications R&D experience developing generative models in audio and speech Proficiency in designing, implementing and training DL algorithms in high-level languages/frameworks (e.g. PyTorch, TensorFlow) Willingness to engage in hands-on R&D in modeling of audio/speech/text data Working in cross disciplinary, geographically-dispersed teams Education RequiredMaster's degree in Computer Engineering / Computer Science / Electrical Engineering PreferredDoctorate, Computer Engineering / Computer Science / Electrical Engineering 2+ years of R&D experience in Computer Vision/image/NLP/multimodal applications in academic/industry Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field.