2251 Deep Learning Jobs - Page 30

Analyze large datasets and develop machine learning models to derive actionable insights for businesses. Focus on using statistical techniques, data visualization, and predictive analytics to optimize decision-making.

Job Title: Lead / Senior/ Data Scientist Experience: 8 to 15 years - Min 5+ Years in Data Science Location: Hyderabad, Hybrid Working hours: 12.00pm to 9.00pm Must Have: Gen AI, ML, Deep Learning, NLP, ML Ops, Data Model Developments and Deployments Key Responsibilities: Provide thought leadership, strategic insight, and clear communication on Data Science and execution for complex problems. Plan, coordinate, and oversee all technical aspects of our AI projects. Ensure that project goals align with the company's objectives and meet the needs of our stakeholders. Design and implement data-driven solutions using Microsoft Azures tools and services, such as Azure Machine Learning, Azure Databricks, Azure Data Factory and Azure databases or Fabric implementation. Ensure these solutions are scalable, reliable, and secure. Develop and implement sophisticated AI models to solve complex business problems. Use these models to generate actionable insights that drive strategic decision-making. Lead a talented team of data scientists working in multiple regions. Foster a collaborative environment that encourages innovation and professional growth. Work closely with cross-functional teams to understand their needs and challenges. Leverage your expertise to provide data-driven AI solutions that address these issues. Leverage large volumes of data from various sources to extract meaningful insights. Present these insights in a clear and concise manner to stakeholders. Drive feedback loop for the models implemented in production using metrics to ensure our whole ML Ops pipeline is effective and continuously refreshed with the right data set and algorithms. Stay updated with the latest trends and advancements in data science, machine learning, GenAI space and cloud computing.

We are looking for passionate and motivated Python / AI Developers to join our growing team. This is an excellent opportunity for freshers or junior developers to work on exciting AI projects and enhance their technical skills.

HIRING FRESHERS OPENINGS BE B.TECH CSE,IT,ECE,EEE,MCA 2023,24,25 Passout With Good Communication Immidiate Joiner Only

Primary Skill Genai, Langchain, Python, SQL Location –Bengaluru Experience – 3 Years to 6 Years Work Mode – Hybrid (3-4 Days work from office) Notice Period – Immediate to 30 Days Official

Job Title:AI/ML EngineerDepartmentTechLocation:GurgaonTravel Required:NoJob Description Tagbin Services Pvt. Ltd. Company Profile Tagbin is an experience-driven technology service company established in 2013 by IIT Roorkee Alumni, to design and engineer digital experiences for Government and various Industries. We develop experiential and interactive digital museums, enriched by virtual, kinetic installations, including the magic of 360-degree immersive experiences. We have expertise in developing futuristic cultural theme parks, experience centers, and cultural-historical centers with a smart blend of creativity and technology. Preserving our rich cultural heritage, our innovative projects also include interesting and entertaining projection mapping shows, drone shows, light and sound shows, water projection, and the magical experience of immersive Augmented Reality buses. Embracing the trinity of knowledge, art, and technology, we work meticulously to create well-researched content, which is prudently translated into exclusive pieces of creativity and presented through the most modern and captivating technology. Our projects include digital museums, projection mapping shows, interpretation centers, and innovative tourist-attracting projects for the heritage, culture, and tourism sectors. Brands leverage the combination of creative and technology services of our company for their business growth through brand digital experience centers and digitization of showrooms. With the right mix of creative and technical expertise of the team, Tagbin successfully delivered multiple innovative projects in PAN India, UK, the Middle East, and Asia for the last 11 years. Our main projects include the Prime Ministers Museum, New Delhi, Jyotisar Theme Park (on Mahabharat & Geeta), Valmiki Ram Teerth (Amritsar), Babasaheb Bhimrao Ambedkar Museum (Kapurthala), Sathya Sai (Bangalore), IFFI and Azadi ka Amrit Mahotsav, India@75 to name a few. Our Team is our biggest strength, and we work incessantly to expand our horizons by strengthening our team and capabilities. So, if you are the one who holds the zeal to become a part of such an enthusiastic, ever-evolving team, you may find your space in Tagbin Services Pvt. Ltd. Job Description: We are seeking a talented and motivated AI/ML Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, data analysis, and software development, and will be responsible for developing and implementing innovative AI solutions to solve complex problems. Key Responsibilities: Design, develop, and fine-tune deep learning based models for the task Text2SQL, TTS and Image generation. Implement and optimize Generative AI models using architectures like GPT, BERT, T5, Anthropic Claude, and similar LLMs Hands-on experience with GANs such as Wav2Lip and LipSync for audio-visual synthesis Must have knowledge of NVIDIA frameworks like Triton,Omniverse etc. Work on the integration of AI models into applications, ensuring scalability and performance Fine-tune models for specific industries or use cases, focusing on improving accuracy and efficiency Research and implement the latest advancements in machine learning and natural language processing (NLP) techniques, and diffusion models for image generation for fashion industry. Deploy, monitor, and maintain AI systems in production environments Ensure that the AI models adhere to ethical standards and are free from bias Develop and implement Retrieval-Augmented Generation (RAG) based systems to enhance model performance and knowledge retrieval Work with various types of databases including vector databases and graph databases to support AI applications Apply basic computer vision and image processing techniques to relevant projects Conduct benchmarking of AI models using industry-standard metrics and datasets to evaluate and improve performance across various tasks Implement and evaluate retrieval systems using state-of-the-art benchmarks Assess and improve the performance of generative AI models using appropriate benchmarks Collaborate with data scientists, software engineers, and domain experts to align AI models with business requirements Design custom benchmarks for specific retrieval and generative AI tasks relevant to business needs Design and implement object detection pipelines using state-of-the-art models such as YOLOv8, Faster R-CNN, and SSD Skills and Qualifications: 5+ years of experience in AI engineering, with a focus on LLMs and Generative AI Proficiency in programming languages such as Python, C++, Javascript Experience with deep learning frameworks including PyTorch, TensorFlow, and Keras for building, training, and deploying neural networks Expertise in training and fine-tuning LLMs and knowledge of their architecture Hands-on experience with NLP techniques and Deep Learning frameworks Strong understanding of transformer models and their applications Familiarity with cloud platforms like AWS, GCP, Azure for model deployment Ability to work with large datasets and optimize models for performance Strong analytical and problem-solving skills Knowledge of ML Ops is a plus Excellent communication and teamwork skills Experience with Retrieval-Augmented Generation (RAG) systems and their corresponding knowledge bases Proficiency in working with various database types, including relational databases, vector databases (e.g., Pinecone, Faiss), and graph databases (e.g., Neo4j, Amazon Neptune) Knowledge of computer vision and image processing techniques and libraries (e.g., OpenCV, PIL) In-depth knowledge of Convolutional Neural Networks (CNNs) and their applications in deep learning tasks Practical experience in object detection using models such as YOLO, SSD, and Faster R-CNN Strong hands-on experience with PyTorch for building and deploying deep learning models Familiarity with Agentic AI frameworks and libraries such as LangGraph, CrewAI, AutoGen Proficiency in building and deploying APIs using Flask and FastAPI for serving AI/ML models Experience with WebSocket communication for real-time data exchange and interactive AI applications Benchmarking Expertise: Comprehensive understanding of AI benchmarking methodologies and familiarity with popular benchmarks for various AI tasks, including: Natural Language Processing: GLUE, SuperGLUE, SQuAD Machine Translation: WMT, BLEU score Text Summarization: ROUGE Image Classification: ImageNet Object Detection: COCO, Pascal VOC General Language Understanding: MMLU (Massive Multitask Language Understanding) Ability to design and implement custom benchmarks for specific use cases and industries

As a TA Intern, you will play a crucial role in helping us scale our teams by supporting bulk hiring efforts, coordinating recruitment processes, and assisting with end-to-end recruitment tasks. This role is ideal for someone looking to gain hands-on experience in recruitment and HR processes.. Selected Intern's Day-to-day Responsibilities Include. Assisting the recruitment team in sourcing and screening potential candidates through job boards, social media, and professional networks. Conducting initial phone interviews to assess candidates' qualifications, experience, and cultural fit. Coordinating and scheduling interviews between candidates and hiring managers. Maintaining and updating the applicant tracking system (ATS) with candidate information, job postings, and hiring statuses. Posting job openings on internal and external platforms, including the company website, job portals, and social media.

Key Responsibilities. Architect, build, and deploy AI/ML models for SaaS products at scale.. Lead the end-to-end lifecycle of AI projects from data exploration, model development, validation, and deployment, to monitoring and maintenance.. Collaborate with Product Management, Engineering, and Design teams to integrate AI capabilities into product offerings.. Implement and optimize Retrieval Augmented Generation (RAG) systems, Large Language Models (LLMs), and other emerging AI/ML techniques.. Define and uphold best practices in AI model development, MLOps, and scalable deployment.. Mentor and guide a team of AI/ML engineers, setting technical direction and fostering a culture of innovation and excellence.. Partner with stakeholders to define AI strategies aligned with overall technology roadmaps and business objectives.. Stay abreast of advancements in AI and contribute thought leadership internally and externally.. Required Skills & Experience. 10 to12 years of experience in AI/ML engineering, with a strong record of working in SaaS and product-based environments.. Expertise in Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and/or Generative AI.. Hands-on experience with frameworks like TensorFlow, PyTorch, Hugging Face Transformers, etc.. Solid experience in designing scalable AI architectures and deploying models in production environments (AWS, GCP, Azure, etc.. Strong programming skills in Python; familiarity with other languages like Java, Go, or Scala is a plus.. Deep understanding of MLOps, CI/CD for machine learning pipelines, containerization (Docker, Kubernetes).. Experience with LLM fine-tuning, prompt engineering, vector databases (e., Pinecone, FAISS) is highly desirable.. Has experience is having trained a SLM (or Medium Language Model), for a particular vertical.. This includes pre-training and fine-tuning.. Strong problem-solving skills and ability to navigate ambiguous technical challenges.. Excellent communication, leadership, and stakeholder management skills.. Preferred Qualifications. Master's or Ph.in Computer Science, Machine Learning, Data Science, or a related field.. Experience in Go-to-Market Strategy for AI-powered products.. Experience integrating AI into customer-facing SaaS products with measurable outcomes..

Job Summary We are seeking skilled and motivated Data Scientists with 4+ years of experience in data science with good domain understanding. The ideal candidate will have a strong foundation in data science concepts, proficiency in analytical tools, and the ability to translate data insights into actionable business recommendations. This role requires a blend of technical expertise and business acumen, preferable in financial (credit, risk) fields, to drive data-driven decision making. This will be an individual contributor role or lead for a small team (if relevant experience is present). Qualifications. Education :. Bachelor of Engineering or master's in quantitative areas.. It is mandatory that the ideal candidate should be from tier 1 institutes.. Experience. 4+ years of experience in data science and business analytics projects.. The ideal candidate should exposure in Credit risk analytics.. Proven experience in data handling, analytics with good exposure to statistical analysis and machine learning.. Technical Skills. Expertise in programming languages such as Python and SQL.. Expertise in machine learning algorithms.. Soft Skills. Strong analytical and problem-solving skills.. Excellent communication and interpersonal skills.. Ability to lead a team.. (ref:hirist.tech). Show more Show less

The candidate should at minimum show proficiency in: • Strong Python and intermediate SQL skills • Experience building, deploying, and evaluating ML/NLP/GenAI systems. • Experience with ML system design • Very strong (including written) communication skills and ability to break down and articulate complex tasks into implementation strategies • Software engineering best practices, including testing, OOP, etc. • Knowledge of cloud systems, especially azure preferred. • A more traditional ML perspective, some knowledge and understanding of mathematical optimizers, how to select the best ones for purpose and set parameters Must Have: • Experience working closely with other data scientists, data engineers software engineers, data managers and business partners. • Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. • Can carry out data analyses to yield actionable business insights. • Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. • Applied knowledge of data science tools and approaches across all data lifecycle stages. • Thorough understanding of underlying mathematical foundations of statistics and machine learning. • Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) • Advanced SQL knowledge. • Knowledge of experimental design and analysis. • Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Strong software engineering and ML system design experience. Experience with system designs like kNN model, NLP algorithms

Project Role : Cloud Migration Engineer Project Role Description : Provides assessment of existing solutions and infrastructure to migrate to the cloud. Plan, deliver, and implement application and data migration with scalable, high-performance solutions using private and public cloud technologies driving next-generation business outcomes. Must have skills : Cloud Migration Planning Good to have skills : Microsoft Azure IaaS, VMWare Cloud AdministrationMinimum 7.5 year(s) of experience is required Educational Qualification : Graduate Post Graduate BE B Tech MSC IT M Tech M Sc CS Summary :As a Cloud Migration Engineer, you will provide a comprehensive assessment of existing solutions and infrastructure to facilitate their migration to the cloud. Your typical day will involve planning, delivering, and implementing application and data migration strategies that leverage both private and public cloud technologies. You will focus on creating scalable and high-performance solutions that drive next-generation business outcomes, ensuring that the migration process aligns with organizational goals and enhances operational efficiency. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Develop and maintain comprehensive migration plans that outline timelines, resources, and risk management strategies.- Facilitate training and knowledge transfer sessions to ensure team members are equipped with the necessary skills for cloud technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Cloud Migration Planning.- Good To Have Skills: Experience with Microsoft Azure IaaS, VMWare Cloud Administration.- Strong understanding of cloud architecture and deployment models.- Experience with data migration tools and techniques.- Familiarity with security best practices in cloud environments. Additional Information:- The candidate should have minimum 7.5 years of experience in Cloud Migration Planning.- This position is based at our Bengaluru office.- A Graduate Post Graduate BE B Tech MSC IT M Tech M Sc CS is required. Qualification Graduate Post Graduate BE B Tech MSC IT M Tech M Sc CS

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Prompt Engineering, Manual Testing Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that may encompass deep learning, neural networks, chatbots, and image processing technologies. Your role will require a proactive approach to problem-solving and a commitment to continuous learning in the rapidly evolving field of artificial intelligence. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of AI-driven applications and systems.- Collaborate with team members to identify and resolve technical challenges. Professional & Technical Skills: - Must To Have Skills: Proficiency in Prompt Engineering.- Strong understanding of AI tools and cloud services.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques.- Knowledge of software development best practices and version control systems. Additional Information:- The candidate should have minimum 3 years of experience in Prompt Engineering.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

We are seeking a highly skilled AI Engineer with a strong foundation in backend development and cloud technologies, particularly within the Microsoft ecosystem. The ideal candidate will have experience in AI/ML domains such as Natural Language Processing (NLP), Computer Vision , Video Processing, Text Extraction, Dubbing, and Translation, and be proficient in building scalable, production-ready systems using modern cloud platforms. ________________________________________ Responsibilities: • Design and develop advanced backend components, data systems, pipelines, and microservices for AI-driven applications. • Engineer and implement production-ready, cloud-native infrastructures (or on-premise), from databases to serverless architectures. • Integrate and deploy AI models and services, including NLP, computer vision, and video processing solutions. • Utilize Azure AI Services , Cognitive Services, and other cloud-native AI tools to build intelligent applications. • Collaborate with cross-functional teams to deliver scalable and maintainable AI solutions. • Follow best practices in software engineering, including CI/CD, testing, and documentation. ________________________________________ Requirements: • Bachelors or Master’s degree in Computer Science, Engineering, or a related field. • Proven experience as a senior software or data engineer, with a strong backend focus. • Advanced proficiency in Python, demonstrated through real-world projects. • Practical experience with backend technologies and frameworks. • Strong knowledge of CI/CD frameworks and DevOps practices. • Expertise in Microsoft Azure, including Azure AI Services and Cognitive Services. • Familiarity with AWS, AWS AI Services, and Google Cloud Platform (GCP) is a plus. • Experience with Docker and Kubernetes for containerization and orchestration. • AI/ML experience, especially in NLP, Computer Vision, Video Processing, Text Extraction, Dubbing, and Translation, is highly desirable. • Data engineering experience is a strong advantage.

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

Responsibilities Develop and deploy call flow applications (aka Interactive Voice Response applications) that have an impact to the customer and a support or sales agents experiences Partner with internal teams to define and implement solutions that improve support experiences Maintain highest levels of development practices including technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, writing clean, modular and self-sustaining code. Qualification 3+ years IVR / Speech Recognition experience The ability to design callflows from requirements documentation and workshops Expert knowledge of 1 or more IVR development environments, such as Genesys composer, Avaya AOD, Voice Objects / CXP etc. A working knowledge of IVR environments and operating systems, including administration of UNIX and Linux A working knowledge of telephony technologies including call routing, SMS, VOIP State Machine Experience & Knowledge Unix/shell scripting (Bash, Powershell or any other shell) Application support experience Nice to have JavaScript, Java If you are interested, please Share below details and Updated Resume Matched First Name Last Name Date of Birth Pass Port No and Expiry Date Alternate Contact Number Total Experience Relevant Experience Current CTC Expected CTC Current Location Preferred Location Current Organization Payroll Company Notice period Holding any offer

About the Role: Grade Level (for internal use): 10 Responsibilities: To work closely with various stakeholders to collect, clean, model and visualise datasets. To create data driven insights by researching, designing and implementing ML models to deliver insights and implement action-oriented solutions to complex business problems To drive ground-breaking ML technology within the Modelling and Data Science team. To extract hidden value insights and enrich accuracy of the datasets. To leverage technology and automate workflows creating modernized operational processes aligning with the team strategy. To understand, implement, manage, and maintain analytical solutions & techniques independently. To collaborate and coordinate with Data, content and modelling teams and provide analytical assistance of various commodity datasets To drive and maintain high quality processes and delivering projects in collaborative Agile team environments. : 7+ years of programming experience particularly in Python 4+ years of experience working with SQL or NoSQL databases. 1+ years of experience working with Pyspark. University degree in Computer Science, Engineering, Mathematics, or related disciplines. Strong understanding of big data technologies such as Hadoop, Spark, or Kafka. Demonstrated ability to design and implement end-to-end scalable and performant data pipelines. Experience with workflow management platforms like Airflow. Strong analytical and problem-solving skills. Ability to collaborate and communicate effectively with both technical and non-technical stakeholders. Experience building solutions and working in the Agile working environment Experience working with git or other source control tools Strong understanding of Object-Oriented Programming (OOP) principles and design patterns. Knowledge of clean code practices and the ability to write well-documented, modular, and reusable code. Strong focus on performance optimization and writing efficient, scalable code. Nice to have: Experience working with Oil, gas and energy markets Experience working with BI Visualization applications (e.g. Tableau, Power BI) Understanding of cloud-based services, preferably AWS Experience working with Unified analytics platforms like Databricks Experience with deep learning and related toolkitsTensorflow, PyTorch, Keras, etc. About S&P Global Commodity Insights At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value. Were a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights coverage includes oil and gas, power, chemicals, metals, agriculture and shipping. S&P Global Commodity Insights is a division of S&P Global (NYSESPGI). S&P Global is the worlds foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the worlds leading organizations navigate the economic landscape so they can plan for tomorrow, today.For more information, visit http://www.spglobal.com/commodity-insights . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Location - Bengaluru,Noida,Uttarpradesh,Hyderabad

About the Role: OSTTRA India The RoleAssociate I AI Engineer The Team The OSTTRA Technology teamis composed of Capital Markets Technology professionals, who build,supportand protect the applications that operate our network. The technology landscapeincludeshigh-performance, high-volume applications as well as compute intensive applications,leveragingcontemporary microservices, cloud-based architectures. The Impact Together, we build, support, protect and manage high-performance, resilient platforms that process more than 100 million messages a day. Our services are vital to automated trade processing around the globe, managing peak volumes and working with our customers and regulators to ensure the efficient settlement of trades and effective operation of global capital markets. Whats in it for you We are seeking a highly motivated and talented Entry Level AI Engineer to join our growing team. In this role, you will have the exciting opportunity to work at the forefront of both traditional machine learning and cutting-edge generative AI. You will contribute to the development and implementation of AI solutions that address real-world challenges in the financial services industry. This role requires a strong foundation in AI/ML principles, software engineering skills, and a collaborative mindset. This is an excellent opportunity to be part of a team based out of Gurgaon and to work with colleagues across multiple regions globally. Responsibilities: Develop and implement machine learning modelsDesign, build, and train traditional machine learning models (e.g., regression, classification, clustering) for tasks such as risk assessment, fraud detection, trade prediction, and operational efficiency. Explore and apply generative AI techniquesResearch, experiment with, and implement generative AI models (e.g., transformers, large language models) for applications like data augmentation, synthetic data generation, anomaly detection, and natural language processing in financial contexts. Collaborate on AI solutionsWork closely with experienced AI engineers, data scientists, and software developers to integrate AI models into Osttra's existing systems and build new AI-powered applications. Contribute to software developmentParticipate in the full software development lifecycle, including design, coding, testing, and deployment, adhering to best practices and industry standards. Analyze and interpret dataAnalyze large datasets, identify patterns and trends, and derive insights to inform model development and business decisions. Stay current with AI advancementsContinuously learn and keep abreast of the latest research and trends in both traditional machine learning and generative AI. Communicate effectivelyClearly communicate technical concepts and findings to both technical and non-technical audiences. What Were Looking For: EducationBachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Technical Skills: Strong understanding of fundamental AI/ML concepts (e.g., supervised/unsupervised learning, deep learning, natural language processing). Experience with Python and relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Familiarity with generative AI models and frameworks (e.g., transformers, GPT). Proficiency in software engineering principles and practices. Knowledge of data structures, algorithms, and databases. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Ability to work independently and as part of a team The Location: Gurgaon, India About Company Statement: About OSTTRA Candidates should note that OSTTRAis an independentfirm, jointly owned by S&P Global and CME Group. As part of the joint venture, S&P Global providesrecruitmentservices to OSTTRA - however, successful candidates will be interviewed and directly employed by OSTTRA, joiningour global team of more than 1,200 posttrade experts. OSTTRA was formed in 2021 through the combination of four businesses that have been at the heart of post trade evolution and innovation for the last 20+ yearsMarkitServ, Traiana, TriOptima and Reset. OSTTRA is a joint venture, owned 50/50 by S&P Global and CME Group. Joining the OSTTRA team is a unique opportunity to help build a bold new business with an outstanding heritage in financial technology, playing a central role in supporting global financial markets.Learn more atwww.osttra.com. Whats In It For You Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf -----------------------------------------------------------

The Role and Responsibilities We have open positions ranging from Associate Data Scientist to Director, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Target Tech Overview: Every time a guest enters a Target store or browses Target.com, they experience the impact of Targets investments in technology and innovation. Were the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guestsand we do so with a focus on diversity and inclusion, experimentation and continuous learning. Pyramid OverviewEnterprise Tech We create technology solutions for Target at an enterprise scale, unlocking value for our team members, guests, and suppliers. Team Members rely on us to manage $108B+ in revenue, care for our team of 450k+ (pay and benefits), enable 3M+ candidates applying to Target, access to every Target facility, and resolve challenges through our service centers. Guests rely on us every day to quickly and efficiently help them with inquiries such as credit card statements, finding a product, price match, returns, and much more. We ensure guests can leverage their Circle Card to get exclusive benefits. Guests and B2B clients also rely on us to buy gift cards for that special occasion. Suppliers rely on us to assist with financial management, sourcing and procurement processes, compliance and risk assessment processes, coordinating visits for field engineers, providing support for Target+ and Roundel Partners, as well as supporting revenue growth to accelerate vendor acquisition and onboarding for partners. Position Overview: Lead Development of Generative AI ApplicationsArchitect and develop advanced generative AI solutions that support business objectives, ensuring high performance and scalability. Performance Tuning & OptimizationIdentify bottlenecks in applications and implement strategies to improve performance. Optimize machine learning models for efficiency in production environments. Collaborate Cross-FunctionallyWork closely with data scientists, product managers, and other stakeholders to gather requirements and transform them into robust technical solutions. Mentor Junior EngineersProvide guidance and mentorship to team members on best practices in coding standards, architectural design, and machine learning techniques. Research & InnovationStay abreast of the latest advancements in the field of Artificial Intelligence. Propose new ideas that could lead to innovations within the organization. Deployment & Scaling StrategiesLead the deployment process of applications on cloud platforms while ensuring they are scalable to handle increasing loads without compromising performance. Documentation & Quality AssuranceDevelop comprehensive documentation for projects undertaken. Implement rigorous testing methodologies to ensure high-quality deliverables. About You: Bachelors degree in Computer Science, Engineering or a related field (Master's degree preferred). Over 6 years of professional experience working with Python programming language in an enterprise setting. Strong expertise in Machine Learning frameworks such as TensorFlow, PyTorch or similar libraries; experience with Generative Adversarial Networks (GANs) is highly desirable. Proven track record of optimizing machine learning models for performance improvements across various platforms including cloud services (AWS, Google Cloud Platform). Deep understanding of system architecture principles related to scalability and robust application design. Excellent problem-solving skills combined with strong analytical abilities. Proven leadership skills with experience mentoring junior engineers effectively. Know More Here: Life at Target- Benefits- Culture-

Company: Marsh Description: We are seeking a talented individual to join our Data Analytics team at Marsh McLennan. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Principal Engineer Data Science We will count on you to: Design and implement data analytics products to solve complex business problems and drive strategic outcomes. Utilize strong conceptual skills to explore Art of the Possible" in analytics, integrating data, market trends, and cutting-edge technologies to inform business strategies. Manage and manipulate large datasets from diverse sources, ensuring data quality through cleaning, consolidation, and transformation into meaningful insights. Conduct exploratory data analysis (EDA) to identify patterns and trends, reporting key metrics and synthesize disparate datasets for comprehensive insights. Perform rigorous quality assurance (QA) on datasets, ensuring accuracy, logical consistency, and alignment with analytical dashboards. Automate data capture processes from various sources, streamlining data cleaning and insight generation workflows. Apply knowledge of insurance claims, policies terminologies to enhance analytical models and insights. Develop Automation Solution for generating reports using tools such as Python, GenAI and ChatGPT APIs ensuring efficient and optimized code. Communicate complex data-driven solutions clearly and effectively, translating technical findings into actionable business recommendations. Having knowledge around Power BI/LLM/RAG will be preferred What you need to have: Bachelors degree in engineering / Analytics or Masters Degree in Statistics/Computer Applications/ IT/Analytics /any discipline related to Data visualization / Analytics. 1-6 years of progressive experience in Data Science Hands-on exp. in Python (advance knowledge), GenAI, Excel - Intermediate and good understanding of BI tools Power BI Technical expertise with data models, data mining, and segmentation techniques Strong consulting experience and stakeholder management Basic to intermediate visualization experience in Power BI Excellent with data understanding, transformation and EDA Keenness and urgency to learn about the Marsh and the business units business, and insurance industry in general What makes you stand out Should have aspiration to learn and grow. Strong communication skills with an ability to work in a team. Should be able to work as a Team-player and adopt changes without hesitation. A commercial sense to apply proportionality to the depth of analytics used versus desired output. Ability to take initiatives to strive for improvement in analytics techniques, process and output. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh, a business of Marsh McLennan (NYSEMMC), is the worlds top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

#GenerativeAI Experts ready for AI race, this is for you! Announcing Hexaware conducting Walkin Drive for AI Engineer and Lead Data Scientist (GenAI)-Pune Location-12th July 2025(Saturday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer/Lead Data Scientist (GenAI) AI Engineer Experience- 3+years Lead Data Scientist (GenAI) Experience- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- Pune Date of drive- 12th July 2025(Saturday) Must have Experience: LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Strong Experience in Data Scientist (GENAI) 2. Proficiency with Generative AI models like GANs, VAEs, and transformers 3. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 4. Strong Python Fast API experience, SDA based implementations for all the APIs 5. Knowledge of Agentic AI concepts and applications

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries ofscience and engineering to make possiblethe next generations of technology, join us to Make Possible a Better Future. What We Offer Location: Bangalore,IND, Chennai,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. Were committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Youll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers.We empower our team to push the boundaries of what is possiblewhile learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. WhatYoullDo You will be responsible leading research, design, development and implementation of algorithmic modules. You will p erform algorithmic concept and feasibility for image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains. Your key responsibilities will be Demonstrates understanding of computer vision and machine learning / deep learning algorithms for image analysis, pattern recognition, metrology, and object detection. Prototyping algorithms approaches to solve complex problems and drive integration of new algo solutions to product. Algorithm optimization to reduce computational cost and influence hardware requirements. You will be a great fit if you have Strong background in computer vision, image processing, and DL technology Expertise in C/C++, Python, MATLAB and working experience with Tensor Flow, Pytorch or similar framework Academic background in Computer Vision; Deep Learning, Machine Learning, or Artificial Intelligence. Experience working in Semiconductor industry. Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills. Experience in managing teams, sets organizational priorities and allocates resources. Ph.D. or Masters in computer science/engineering or similar fields with 5+ years of experience Education: Bachelor's Degree/Master's Degree Years of Experience: 4 - 7 Years Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% of the Time Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Role : AI Research Engineer - AI Pair Programming About Us : We are developing a cutting-edge AI pair programming extension for VS Code, aimed at revolutionising the way developers write code. Our mission is to enhance developer productivity and code quality through advanced AI assistance. We're seeking an experienced AI Research Engineer to join our innovative team at PureCode AI and help push the boundaries of AI in software development. Position Overview : We are looking for an AI Research Engineer with a strong background in Large Language Models (LLMs) and their applications in code generation and understanding. The ideal candidate will contribute to our research efforts in contextual retrievals, rerankers, and vector databases, with a focus on optimising developer workflows. Key Responsibilities : - Conduct advanced research in AI and machine learning, specifically focusing on LLMs for code generation and comprehension - Implement or optimise state-of-the-art AI models to enhance our AI pair programming capabilities - Develop and refine algorithms for contextual code retrieval, reranking, and efficient use of vector databases - Collaborate with the development team to integrate research findings into our VS Code extension - Contribute to the improvement of developer workflow optimisation through AI-assisted coding - Evaluate and fine-tune models to ensure high-quality code suggestions and analysis - Stay abreast of the latest advancements in AI research and propose innovative applications for our product Qualifications : - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field - Minimum of 3 years of experience in AI engineering and research, with a focus on NLP and LLMs - Strong background in machine learning, deep learning, and natural language processing - Expertise in implementing and deploying AI models for code analysis and generation - Experience with contextual retrieval systems, rerankers, and vector databases - Proficiency in Python and familiarity with machine learning frameworks such as PyTorch or TensorFlow - Solid understanding of API development practices and tools, particularly in the context of Generative AI. - Familiarity with VS Code extension development is a plus Required Skills : - Strong problem-solving skills and ability to translate research into practical applications - Excellent programming skills and ability to write clean, efficient code - Good understanding of software engineering principles and best practices - Ability to work effectively in a collaborative team environment - Strong communication skills to explain complex AI concepts to both technical and non-technical stakeholders - Self-motivated with the ability to work independently on research projects Preferred Experience : - Previous work on AI-assisted coding tools or IDE plugins - Contributions to open-source AI or developer tool projects - Experience with large-scale machine learning model deployment and optimisation - Familiarity with MLOps practices and tools What We Offer : - Opportunity to work on cutting-edge AI technology that directly impacts developers worldwide - Collaborative and innovative work environment - Competitive salary and benefits package - Professional development opportunities and support for attending relevant conferences - Chance to publish and present research findings in academic and industry forums Location- Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad

Designing and implementing advanced state-of-the-art AI architectures, specializing in LLMs, SLMs, VLMs and MLLMs. Develop Gen AI workflows, fine tune and work with stakeholders. Perform scientific evaluation of NLP/LLM models, come up with new techniques for model validation, evaluation, trust and safety. Understand user behavior and requirements and develop accordingly. Write Generative AI pipelines to give contextual awareness of structured and unstructured data to LLMs. Develop MLOps (Machine Learning Operations) workflows for data preparation, deployment, monitoring and retraining. Create and own cloud native API to deploy ML models. Craft data warehousing strategy along with instrumenting ETL pipelines for maintaining quality data to be used for Model Training. Design and implement A/B experiments user segmentation, user classification, and tooling to support A/B experiments. Research and apply state-of-the-art techniques in Deep Learning and Generative AI Domain. Build and enhance NLP pipelines for hierarchical data.

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.