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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.

Role Purpose The purpose of this role is to provide significant technical expertise in architecture planning and design of the concerned tower (platform, database, middleware, backup etc) as well as managing its day-to-day operation More than 5 years of relevant Experience in the required areas (virtualization/server OS) Required: Expert knowledge of maintenance & troubleshooting of physical or virtual servers Expert knowledge of Microsoft Hyper-V and VMWare Hands on experience on PowerShell Scripting Administration of MS Windows Servers Should be proficient in VMWare vSphere and should have hands on experience on ESXi 7 Troubleshooting ESXi issues related to storage, network and performance. Good knowledge on High Availability, DRS, V-Motion, Distribution Switch, Capacity planning, Storage Migration, Cross V-center Migration, and Upgrades. Desired: Experience in HPE ProLiant DL systems, Synergy Blades Firmware and Server Patch management Knowledge of Networking Knowledge of SQL SCCM/Chef knowledge Good to have knowledge on Install, Configure and manage Linux Flavors (e.g Redhat, Ubuntu, CentOS) Good to have knowledge on managing linux based Cloud Management Platforms like Cloudstack, Openstack Work experience in an international environment. Software Industry experience strongly preferred. Do Provide adequate support in architecture planning, migration & installation for new projects in own tower (platform/dbase/ middleware/ backup) Lead the structural/ architectural design of a platform/ middleware/ database/ back up etc. according to various system requirements to ensure a highly scalable and extensible solution Conduct technology capacity planning by reviewing the current and future requirements Utilize and leverage the new features of all underlying technologies to ensure smooth functioning of the installed databases and applications/ platforms, as applicable Strategize & implement disaster recovery plans and create and implement backup and recovery plans Manage the day-to-day operations of the tower Manage day-to-day operations by troubleshooting any issues, conducting root cause analysis (RCA) and developing fixes to avoid similar issues. Plan for and manage upgradations, migration, maintenance, backup, installation and configuration functions for own tower Review the technical performance of own tower and deploy ways to improve efficiency, fine tune performance and reduce performance challenges Develop shift roster for the team to ensure no disruption in the tower Create and update SOPs, Data Responsibility Matrices, operations manuals, daily test plans, data architecture guidance etc. Provide weekly status reports to the client leadership team, internal stakeholders on database activities w.r.t. progress, updates, status, and next steps Leverage technology to develop Service Improvement Plan (SIP) through automation and other initiatives for higher efficiency and effectiveness Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Train direct reportees to make right recruitment and selection decisions Talent Management Ensure 100% compliance to Wipros standards of adequate onboarding and training for team members to enhance capability & effectiveness Build an internal talent pool of HiPos and ensure their career progression within the organization Promote diversity in leadership positions Performance Management Set goals for direct reportees, conduct timely performance reviews and appraisals, and give constructive feedback to direct reports. Ensure that organizational programs like Performance Nxt are well understood and that the team is taking the opportunities presented by such programs to their and their levels below Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Proactively challenge the team with larger and enriching projects/ initiatives for the organization or team Exercise employee recognition and appreciation Deliver NoPerformance ParameterMeasure1Operations of the towerSLA adherence Knowledge management CSAT/ Customer Experience Identification of risk issues and mitigation plans Knowledge management2New projectsTimely delivery Avoid unauthorised changes No formal escalations Mandatory Skills: VMware Server Admin. Experience5-8 Years.

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

Skills : Python AI/ML & ML Ops Practices Machine Learning and deep Learning Cloud - GCP/AWS/Azure AI/Ml,NLP,LLM DevOps - Docker, Kubernetes, and Git Frontend development and API integration We are seeking a talented and experienced AI Engineer to join our dynamic team. Theideal candidate will have a strong background in Python programming, with extensiveexperience in API development, microservices, and working with both SQL and NoSQLdatabases. Familiarity with Python frameworks such as Flask and FastAPI is essential. Thisrole involves developing high-quality, scalable, and robust applications and services,contributing to a range of projects that make a real impact. Key Responsibilities: Design, build, and maintain efficient, reusable, and reliable Python code. Develop and maintain RESTful APIs and services. Work with SQL and NoSQL databases to store and manipulate data effectively. Build scalable microservices and integrate them into larger application ecosystems. Collaborate with cross-functional teams to understand user requirements andprovide technical solutions. Contribute to all phases of the development lifecycle, from concept to deploymentand maintenance. Troubleshoot, test, and maintain the core product software to ensure strongoptimization and functionality. Keep up-to-date with the latest industry trends and technologies in Pythondevelopment.

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Python and R for AI/ML Development, employing robust languages like JavaScript, HTML/CSS on the frontend, with a deep-seated expertise in Python and R on the backend, complemented by a practical exposure to Java backend Required Candidate profile Design, Devlop and deploy AI/ML models, machine learning algorithms using transformative principles of Artifical Intelligence, data analysis, manage datasets, employ machine learning alogorithms

Role & responsibilities Preferred candidate profile

Immediate Openings on Network Security - Zscaler _ Hyd/Bangalore_Contract Skill: Network Security - Zscaler Notice Period: Immediate . Employment Type: Contract Job Description Zscaler ZIA ZPA is primary - must have worked in zscaler for atleast 3 years SIEM Exabeam AA and DL as Secondary Skills.