Job Title: AI Engineer Experience: 6-12 Years Location: Bangalore, Gurugram (Work From Office – 5 Days) Employment Type: Full-Time Interested Candidates Apply Here :- https://forms.gle/h3pXgxc57kUB3UJX6 Job Description :We are looking for a seasoned AI Enginee r with experienc e in designing and deploying AI/ML solutions, with a strong focus on Generative AI (GenAI ) and Large Language Models (LLMs ). The ideal candidate should have deep expertise in Pytho n, machine learnin g, and artificial intelligenc e, along with a strong understanding of real-world AI productization .As part of our advanced tech team in Bangalor e, you will play a critical role in building and integrating AI-powered applications that solve real business problems .Key Responsibilities :Design, develop, and deploy AI/ML solutions with a focus on Generative A I and LLM s (e.g., GPT, BERT, Claude, etc. )Fine-tune and customize foundation models for specific domain or business requirement sDevelop intelligent systems using Pytho n and modern ML framework sCollaborate with cross-functional teams including product, data engineering, and design to integrate AI into core product sEvaluate, test, and implement third-party APIs, libraries, and models relevant to AI/ML/LLM task sOptimize model performance, latency, and scalability for production us eStay up to date with the latest advancements in AI, machine learning, and GenAI technologie sRequired Skills :9+ years of professional experience in AI/M L role sStrong expertise in Generative A I, LLM s, and natural language processing (NLP )Proficient in Pytho n and libraries like TensorFlow, PyTorch, Hugging Face Transformer sSolid background in machine learning algorithm s, deep learning, and model evaluation technique sExperience deploying and maintaining ML models in productio nStrong problem-solving skills and ability to handle ambiguity in requirement sGood to Have :Experience with prompt engineering and few-shot/fine-tuning technique sKnowledge of MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow )Familiarity with vector databases and retrieval-augmented generation (RAG) pipeline sCloud experience (AWS, GCP, or Azure ) Show more Show less

Thank you for your interest in working for our Company. Recruiting the right talent is crucial to our goals. On April 1, 2024, 3M Healthcare underwent a corporate spin-off leading to the creation of a new company named Solventum. We are still in the process of updating our Careers Page and applicant documents, which currently have 3M branding. Please bear with us. In the interim, our Privacy Policy here: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ continues to apply to any personal information you submit, and the 3M-branded positions listed on our Careers Page are for Solventum positions. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. Collaborate with Solventum "Solvers" Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so it’s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a diversity of people, global locations, technologies and products, Solventum is a place where you can collaborate with other "Solvers" to improve the outcomes of healthcare. This position provides an opportunity to transition from other private, public, government or military experience to a Solventum career. (Shalini - please replace/edit above with whatever standard language is appropriate) The Impact You’ll Make in this Role As an AI Engineer in Security Governance and Artificial Intelligence (AI), you will play a crucial role in evaluating Solventum AI use cases and facilitating robust testing and monitoring capabilities. Collaborating across the enterprise, you will work closely with Legal, Privacy, Compliance, and key business and R&D groups to establish repeatable practices that mitigate risks within the AI landscape. This position demands a unique combination of technical expertise, understanding of security controls, and experience in data governance. Your experience in global organizations will be instrumental in guiding the team through the evolving international AI regulatory environment. You will stay abreast of AI trends, technologies, and regulatory developments, continually introducing new ways to address risk. Under the AI umbrella, you will lead and collaborate on risk assessments designed to identify potential threats associated with AI applications and facilitate first of a kind protection solutions. Your Skills and Expertise To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications: Bachelor’s Degree or higher (completed and verified prior to start) from an accredited institution 4 years of experience in Information Technology and Information Security OR High School Diploma/GED or higher from a (completed and verified prior to start) and a minimum of eight (8) years of experience in Information Technology and Information Security Programming Skills: Proficiency in programming languages such as Python, Java, or C++ to integrate and model security tools and scripts. Experience with AI Tools and Platforms: Familiarity with AI development platforms (e.g., TensorFlow, PyTorch) and their security implications. Risk Assessment and Management: Ability to perform thorough risk assessments of AI use cases and implement mitigation strategies. Additional qualifications that could help you succeed even further in this role include: Advanced Degree: Master's or Ph.D. in Cybersecurity, AI, or a related field. Knowledge of AI Ethics: Familiarity with ethical considerations and guidelines for AI deployment. Experience in AI/ML Security: Proven experience in evaluating and securing AI and machine learning systems, including familiarity with adversarial attacks and defenses. Experience in healthcare or other highly regulated industry, preferably in a global organization CISSP strongly preferred, or equivalent experience across a broad spectrum of Information Security disciplines Knowledge of Development Lifecycles, either software or AI specific (SDLC), including experience with DevOps or similar highly integrated work environments. Experience in AI strategy, Data Governance, and/or a related role in technology, data science, or AI. An understanding of AI technologies, machine learning, or data analytics with a focus on technical and ethical considerations. 5+ years experience in Security Governance, Risk & Compliance with corresponding increase in skills and responsibilities. Communication Skills: Excellent verbal and written communication skills to convey security findings and recommendations to technical and non-technical stakeholders. Familiarity with potential AI related regulations (NIST AI RMF, ISO 42001, OECD AI Policy framework, and EU AI act with their implications for AI development and use. Understand the foundations and importance of a strong data security posture. Proven record of effectively leading successful initiatives, especially those without pre-defined solutions. Team Collaboration: Ability to work collaboratively with cross-functional teams, including developers, data scientists, and security professionals. Work location: Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com . Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms. Show more Show less

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description What you get to do in this role: Generate and evaluate synthetic data tailored to improve the robustness, performance, and safety of machine learning models, particularly large language models (LLMs). Train and fine-tune models using curated datasets, optimizing for performance, reliability, and scalability. Design and implement evaluation metrics to rigorously measure and monitor model quality, safety, and effectiveness. Conduct experiments to validate model behavior and improve generalization across diverse use cases. Collaborate with engineering and research teams to identify risks and recommend AI safety mitigation strategies. Participate in the development, deployment, and continuous improvement of end-to-end AI solutions. Contribute to architectural and technology decisions related to AI infrastructure, frameworks, and tooling. Promote modern engineering practices including continuous integration, continuous delivery, and containerized workflows. Qualifications Key qualifications: 5+ years of experience in machine learning, deep learning, and AI systems. Proficiency in Python and frameworks like PyTorch, TensorFlow, and NumPy. Experience in synthetic data generation, model training, and evaluation in real-world environments. Solid understanding of LLM fine-tuning, prompting, and robustness techniques. Knowledge of AI safety principles and experience identifying and mitigating model risks. Hands-on experience deploying and optimizing models using platforms such as Triton Inference Server. Familiarity with CI/CD, automated testing, and container orchestration tools like Docker and Kubernetes. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license. Show more Show less

Company Size Large-scale / Global Experience Required 3 - 5 years Working Days 6 days/week Office Location Viman Nagar, Pune Role & Responsibilities Agentic AI Development: Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities. Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures. Build negotiation-capable bots with real-time context adaptation and recursive feedback processing. Generative AI & Model Optimization: Fine-t une LLMs/SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.). Apply distillation and quantization for efficient deployment on edge devices. Benchmark LLM/SLM performance on server vs. edge environments for real-time use cases. Speech And Conversational Intelligence: Implement contextual dialogue flows using speech inputs with emotion and intent tracking. Evaluate and deploy advanced Speech-to-Speech (S2S) models for naturalistic voice responses. Work on real-time speaker diarization and multi-turn, multi-party conversation tracking. Voice Biometrics & AI Security: Train and evaluate voice biometric models for secure identity verification. Implement anti-spoofing layers to detect deepfakes, replay attacks, and signal tampering. Ensure compliance with voice data privacy and ethical AI guidelines. Self-Learning & Autonomous Adaptation: Develop frameworks for agents to self-correct and adapt using feedback loops without full retraining. Enable low-footprint learning systems on-device to support personalization on the edge. Ideal Candidate Educational Qualifications: Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience Required: 3–8 years of experience, with a mix of core software development and AI/ML model engineering. Proven hands-on work with Conversational AI, Generative AI, or Multi-Agent Systems. Technical Proficiency: Strong programming in Python, TensorFlow/PyTorch, and model APIs (Hugging Face, LangChain, OpenAI, etc.). Expertise in STT, TTS, S2S, speaker diarization, and speech emotion recognition. LLM fine-tuning, model optimization (quantization, distillation), RAG pipelines. Understanding of agentic frameworks, cognitive architectures, or belief-desire-intention (BDI) models. Familiarity with Edge AI deployment, low-latency model serving, and privacy-compliant data pipelines. Desirable: Exposure to agent-based simulation, reinforcement learning, or behavioralmodeling. Publications, patents, or open-source contributions in conversational AI or GenAI systems. Perks, Benefits and Work Culture Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India. Skills: intelligence,python,tensorflow,pytorch,conversational ai,llm fine-tuning,edge ai deployment,optimization,speech,model optimization,llm,speech-to-speech (s2s),privacy-compliant data pipelines,generative ai,speaker diarization,speech emotion recognition,multi-agent systems Show more Show less

Job Title: Computer Vision Engineer Location: Coimbatore, Work from office role Experience Required: 2+ years Employment Type: Full-Time, Permanent Company: Katomaran Technologies About Us Katomaran Technologies is a cutting-edge technology company building real-world AI applications that span across computer vision, large language models (LLMs), and AI agentic systems. We are looking for a highly motivated Senior AI Developer who thrives at the intersection of technology, leadership, and innovation. You will play a core role in architecting AI products, leading engineering teams, and collaborating directly with the founding team and customers to turn vision into scalable, production-ready solutions. Key Responsilbilities Architect and develop scalable AI solutions using computer vision, LLMs, and agent-based AI architectures. Collaborate with the founding team to define product roadmaps and AI strategy. Lead and mentor a team of AI and software engineers, ensuring high code quality and project delivery timelines. Develop robust, efficient pipelines for model training, validation, deployment, and real-time inference. Work closely with customers and internal stakeholders to translate requirements into AI-powered applications. Stay up to date with state-of-the-art research in vision models (YOLO, SAM, CLIP, etc.), transformers, and agentic systems (AutoGPT-style orchestration). Optimize AI models for deployment on cloud and edge environments. Required Skills and Qualifications Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related fields. 2+ years of hands-on experience building AI applications in computer vision and/or NLP. Strong knowledge of Deep Learning frameworks (PyTorch, TensorFlow, OpenCV, HuggingFace, etc.). Proven experience with LLM fine-tuning, prompt engineering, and embedding-based retrieval (RAG). Solid understanding of agentic systems such as LangGraph, CrewAI, AutoGen, or custom orchestrators. Ability to design and manage production-grade AI systems (Docker, REST APIs, GPU optimization, etc.). Strong communication and leadership skills, with experience managing small to mid-size teams. Startup mindset – self-driven, ownership-oriented, and comfortable in ambiguity. Nice to have Experience with video analytics platforms or edge deployment (Jetson, Coral, etc.). Experience with programming skills in C++ will be an added advantage Knowledge of MLOps practices and tools (MLflow, Weights & Biases, ClearML, etc.). Exposure to Reinforcement Learning or multi-agent collaboration models. Customer-facing experience or involvement in AI product strategy. What we offer Medical insurance Paid sick time Paid time off PF To Apply: Send your resume, GitHub/portfolio, and a brief note about your most exciting AI project to hr@katomaran.com. Show more Show less

Job Description : We are seeking a passionate and skilled AI Engineer ( Male) with 2–3 years of professional experience in Artificial Intelligence, Machine Learning, and Deep Learning. The ideal candidate will have hands-on knowledge of ML algorithms, NLP techniques, DL frameworks, and Computer Vision, along with a strong understanding of modern tools like Langchain, Ollama, and RAG architecture. This role offers the opportunity to work on cutting-edge AI applications, contribute to real-time system design, and collaborate with a team of talented engineers and researchers. Key Responsibilities: ● Design, develop, and deploy AI/ML models in production. ● Implement NLP pipelines including text preprocessing, tokenization, and sentiment analysis. ● Develop and optimize CNNs and RNNs/LSTMs for computer vision and time-series applications. ● Work on generative AI models including GANs, transformers, and LLMs. ● Conduct hyperparameter tuning and performance optimization. ● Collaborate with cross-functional teams to integrate AI solutions into existing systems. ● Prepare technical documentation and research reports. Required Skills & Knowledge : ● Proficiency in Python, along with NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch. ● Understanding of ML techniques: supervised, unsupervised, and reinforcement learning. ● Strong grasp of bias-variance tradeoff, overfitting, bagging vs boosting, and feature scaling. ● Experience with CNNs, RNNs, LSTMs, transfer learning, dropout, and batch normalization. ● Knowledge of NLP workflows, tokenization, stop words handling, and text classification. ● Exposure to Computer Vision: image classification, object detection, filters/kernels, face recognition. ● Hands-on experience or knowledge of tools such as MediaPipe, Langchain, RAG, Ollama, and Prompt Engineering. ● Experience using Git and issue-tracking tools like JIRA. Preferred Qualifications: ● B.Tech / M.Tech in Computer Science, AI, Data Science, or related fields. ● Experience with cloud-based AI/ML deployment (AWS, Azure, GCP). ● Familiarity with vector databases and face embedding techniques. ● Understanding of Generative AI, LLM hallucinations, and Agentic AI concepts. Share your resume to hr@nesasoftware.com or 7306377006 Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Work Location: In person

We are seeking a passionate and skilled AI Engineer with 2-3 years of professional experience in Artificial Intelligence, Machine Learning, and Deep Learning. The ideal candidate will have hands-on knowledge of ML algorithms, NLP techniques, DL frameworks, and Computer Vision, along with a strong understanding of modern tools like Langchain, Ollama, and RAG architecture. This role offers the opportunity to work on cutting-edge AI applications, contribute to real-time system design, and collaborate with a team of talented engineers and researchers. Key Responsibilities: ● Design, develop, and deploy AI/ML models in production. ● Implement NLP pipelines including text preprocessing, tokenization, and sentiment analysis. ● Develop and optimize CNNs and RNNs/LSTMs for computer vision and time-series applications. ● Work on generative AI models including GANs, transformers, and LLMs. ● Conduct hyperparameter tuning and performance optimization. ● Collaborate with cross-functional teams to integrate AI solutions into existing systems. ● Prepare technical documentation and research reports. Required Skills & Knowledge: ● Proficiency in Python, along with NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch. ● Understanding of ML techniques: supervised, unsupervised, and reinforcement learning. ● Strong grasp of bias-variance tradeoff, overfitting, bagging vs boosting, and feature scaling. ● Experience with CNNs, RNNs, LSTMs, transfer learning, dropout, and batch normalization. ● Knowledge of NLP workflows, tokenization, stop words handling, and text classification. ● Exposure to Computer Vision: image classification, object detection, filters/kernels, face recognition. ● Hands-on experience or knowledge of tools such as MediaPipe, Langchain, RAG, Ollama, and Prompt Engineering. ● Experience using Git and issue-tracking tools like JIRA. Preferred Qualifications: ● B.Tech / M.Tech in Computer Science, AI, Data Science, or related fields. ● Experience with cloud-based AI/ML deployment (AWS, Azure, GCP). ● Familiarity with vector databases and face embedding techniques. ● Understanding of Generative AI, LLM hallucinations, and Agentic AI concepts. Share your resume hr@nesasoftware.com or 7306377006 Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person

About the Roles As a Technical Lead, you will play a pivotal role in guiding the development and deployment of cutting-edge AI solutions within our organization. You will lead a high-performing team of AI/ML engineers and collaborate closely with cross-functional stakeholders to deliver innovative generative AI, NLP, and intelligent automation capabilities. Your expertise will ensure technical excellence, scalable architecture, and successful delivery of strategic AI initiatives aligned with organizational goals. Lead the development and deployment of cutting-edge AI solutions within the organization. Guide and mentor a high-performing AI/ML engineering team. Architect scalable, reliable, cloud-native AI solutions adhering to industry standards. Drive end-to-end development of flagship AI projects, including POCs and prototypes. Collaborate with cross-functional teams to define requirements and ensure technical feasibility. Lead R&D initiatives to explore emerging Gen AI, NLP, and automation technologies. Ensure best practices in Agile, DevOps, and CI/CD are adopted across the team. Oversee the deployment of AI models on cloud platforms like AWS, Azure, or GCP. Optimize, tune, and validate ML/NLP models for production readiness. Maintain high standards for technical documentation, reporting, and knowledge sharing. Act as the technical interface for stakeholders, communicating project progress and risks. About You Possess 5 to 8 years of AI/ML experience, with 2+ years in a leadership or senior role. Have proven expertise in designing and deploying cloud-native AI applications. Proficient in Python and libraries such as TensorFlow, PyTorch, and NLP tools. Deep understanding of AI/ML concepts, including agentic AI, Gen AI, OCR, NLP, and retrieval tasks. Strong leadership skills with the ability to motivate and guide technical teams. Experienced in creating scalable architectures, workflows, and process flows. Skilled in troubleshooting, analytical thinking, and problem-solving. Excellent communicator capable of explaining complex concepts to non-technical stakeholders. Stay updated with industry trends and lead innovative R&D efforts in AI and automation. Candidate should be graduate /post-graduate with strong academic record and minimum of 9-10 years of experience with 4-6 years working as Technical Lead. Experience in .Net and SQL skills at minimum 2-3 years. Engineering from a Tier-1/Tier-2 institute will be preferred. #LI-AD1 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

About the Role We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Required Skills & Qualifications Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. What You'll Gain Be part of a forward-thinking team working on cutting-edge AI/ML technologies. Collaborate with a diverse, highly skilled team in a fast-paced environment. Opportunity to work on impactful projects with real-world applications. Competitive salary and career growth opportunities Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Work Location: In person

Preferred Qualifications: * Experience with Agentic Frameworks such LangGraph, AutoGen, CrewAI * Experience with cloud-based AI platforms, such as AWS or Azure * Knowledge of containerization technologies, such as Docker * Familiarity with agile development methodologies, such as Scrum or Kanban * Experience with AI-related tools and frameworks, such as TensorFlow or PyTorch * Strong understanding of software design patterns, principles, and best practices * Experience with DevOps practices, including continuous integration and continuous deployment (CI/CD) * Certification in AI, machine learning, or related fields, such as Certified Data Scientist or Certified AI Engineer Job Responsibilities: * Lead the development of Gen AI solutions, including design, implementation, and deployment of AI models and systems * Collaborate with cross-functional teams to identify business problems and develop AI-powered solutions to drive growth and efficiency * Design and implement scalable and efficient AI solutions, leveraging technologies such as LangChain, Agentic AI, RAG, Event driven architecture using Kafka etc. * Develop and maintain large-scale AI systems, ensuring high performance, reliability, and security * Lead and mentor a team of AI developers, providing guidance and expertise to ensure high-quality deliverables * Stay up-to-date with the latest advancements in Gen AI, Prompt Engineering, and related technologies, applying this knowledge to drive innovation and improvement * Develop and maintain technical documentation, including architecture diagrams, design documents, and technical guides * Participate in code reviews, ensuring high-quality code and adherence to coding standards and best practices Required Qualifications: * Bachelor's or Master's degree in Computer Science, Engineering, or related field (B.E/B.Tech/M.E/M.Tech/MCA) * At least 5-8 years of experience in software development, with a minimum of 2 years of experience in Gen AI * Strong proficiency in LangChain, Python, Gen AI, Agentic AI, and Prompt Engineering * Excellent communication, teamwork, problem-solving, and leadership skills Show more Show less

Job Description Lead development of robust short / mid / long term industry and segment forecasts for specific regions around the world Conduct analysis of various factors that influence vehicle sales as well as Powertrain adoption (industry, macroeconomic, consume behavior, demographics, competitive cycle plan, regulatory trends etc.) Develop insightful reports and dashboards on various KPIs impacting vehicle sales and Powertrain growth using new age tools Develop new and/or enhance existing analytical tools and processes to improve volume-forecasting Support Business and Sales Planning Analytics activities and interactions with business customers in region Responsibilities Segmentation forecasts Segmentation forecasting models for key markets Short / mid-term forecasts Comprehensive segmentation analysis for key markets identifying drivers and trends Development/Maintenance of Sales Dashboards Qualifications 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 5+ years automotive experience in Marketing, Finance, Planning, Product Development and/or Sales Experience with statistical forecasting and / or developing statistical / Mathematical / AI models as well as hands on experience working on AI tools and cloud technologies Demonstrated ability to interface with personnel in diverse markets and/or functions as well as effectively and succinctly present analysis and recommendations to a diverse audience Show more Show less

Job Description – Data Science Trainer Location: Baner, Pune Job Description : Minimum 2-3 years of trining or Industry experiance About the Role: We are looking for a passionate and experienced Data Science Trainer to join our team full-time. In this role, you will be responsible for delivering high-quality training sessions in data science, machine learning, and AI to students or working professionals. Your goal is to equip learners with the skills and knowledge to thrive in data-driven roles. Key Responsibilities: Deliver live instructor-led training sessions on topics such as Python, SQL, Data Analysis, Machine Learning, Deep Learning, NLP, and AI. Create engaging training materials, assignments, quizzes, and capstone projects. Mentor learners through 1-on-1 or 1 to many doubt-solving sessions and project guidance. Stay up-to-date with the latest trends and technologies in data science and incorporate them into the curriculum. Assess learner performance and provide feedback for improvement. Contribute to curriculum design and development based on industry needs. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field. 2-3+ years of hands-on experience in data science, analytics, or a related domain. Prior experience in teaching/training (online or classroom) preferred. Proficiency in Python, Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, SQL, and ML concepts. Strong communication and presentation skills. Experience with tools like Jupyter Notebook, Google Colab, and cloud platforms is a plus. Nice to Have: Familiarity with deep learning frameworks like TensorFlow or PyTorch. Experience working on industry projects or consulting in data science. Ability to explain complex concepts in a simple and relatable manner. Perks Access to cutting-edge learning resources and certifications Collaborative team culture Opportunities for career advancement in the EdTech/training indust Job Type: Full-time Pay: ₹40,000.00 - ₹50,000.00 per month Schedule: Day shift Weekend availability Supplemental Pay: Commission pay Performance bonus Experience: Training & development: 2 years (Preferred) Work Location: In person

Company Description Rayblaze Global Private Limited is a technology-driven solution provider that empowers businesses to streamline operations, enhance customer experiences, and achieve digital transformation. With a focus on tailored IT solutions since 2016, we offer web and mobile app development, custom CMS, e-commerce platforms, ERP systems, IoT solutions, SEO, and digital marketing. Our approach is guided by understanding our client's business goals, challenges, and budget to deliver impactful solutions across industries. Role Description This is a full-time on-site role for a Machine Learning Engineer located in Trivandrum. The Machine Learning Engineer will be responsible for developing algorithms, implementing neural networks, applying statistics, and utilizing pattern recognition techniques. The role will involve working on projects that optimize and innovate various business processes using machine learning technologies. Qualifications Skills in Pattern Recognition and Neural Networks Proficiency in Computer Science and Algorithms Knowledge of Statistics and its application in machine learning Strong analytical and problem-solving skills Experience in developing machine learning models and algorithms Ability to work collaboratively in a team environment Master's degree in Computer Science, Statistics, or related field Job description * Collect, clean, and prepare data. * Build and optimize machine learning models. * Use tools like TensorFlow and Scikit-learn. * Conduct data analysis and statistical assessments. * Deploy models and ensure performance. * Proficient in Python, SQL, and machine learning concepts. * Experience with cloud platforms and large datasets. * Familiarity with AWS SageMaker (preferred, not mandatory). Show more Show less

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 : Machine Learning Good to have skills : NA Minimum 15 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 designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities: - Expected to be a Subject Matter Expert with deep knowledge and experience. - Should have influencing and advisory skills. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities and understanding of AI technologies. - Evaluate and recommend new tools and technologies that can improve the efficiency and effectiveness of AI solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Experience with cloud-based AI services and deployment strategies. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with data preprocessing and feature engineering techniques. - Ability to design and implement neural network architectures for various applications. Additional Information: - The candidate should have minimum 15 years of experience in Machine Learning. - This position is based at our Mumbai office. - A 15 years full time education is required. 15 years full time education

Bangalore,Karnataka,India Job ID 766481 Join our Team About this Opportunity The complexity of running and optimizing the next generation of wireless networks, such as 5G with distributed edge compute, will require Machine Learning (ML) and Artificial Intelligence (AI) technologies. Ericsson is setting up an AI Accelerator Hub in India to fast-track our strategy execution, using Machine Intelligence (MI) to drive thought leadership, automate, and transform Ericsson’s offerings and operations. We collaborate with academia and industry to develop state-of-the-art solutions that simplify and automate processes, creating new value through data insights. What you will do As a Senior Data Scientist, you will apply your knowledge of data science and ML tools backed with strong programming skills to solve real-world problems. Responsibilities: 1. Lead AI/ML features/capabilities in product/business areas 2. Define business metrics of success for AI/ML projects and translate them into model metrics 3. Lead end-to-end development and deployment of Generative AI solutions for enterprise use cases 4. Design and implement architectures for vector search, embedding models, and RAG systems 5. Fine-tune and evaluate large language models (LLMs) for domain-specific tasks 6. Collaborate with stakeholders to translate vague problems into concrete Generative AI use cases 7. Develop and deploy generative AI solutions using AWS services such as SageMaker, Bedrock, and other AWS AI tools. Provide technical expertise and guidance on implementing GenAI models and best practices within the AWS ecosystem. 8. Develop secure, scalable, and production-grade AI pipelines 9. Ensure ethical and responsible AI practices 10. Mentor junior team members in GenAI frameworks and best practices 11. Stay current with research and industry trends in Generative AI and apply cutting-edge techniques 12. Contribute to internal AI governance, tooling frameworks, and reusable components 13. Work with large datasets including petabytes of 4G/5G networks and IoT data 14. Propose/select/test predictive models and other ML systems 15. Define visualization and dashboarding requirements with business stakeholders 16. Build proof-of-concepts for business opportunities using AI/ML 17. Lead functional and technical analysis to define AI/ML-driven business opportunities 18. Work with multiple data sources and apply the right feature engineering to AI models 19. Lead studies and creative usage of new/existing data sources What you will bring Required Experience - min 7 years 1. Bachelors/Masters/Ph.D. in Computer Science, Data Science, AI, ML, Electrical Engineering, or related disciplines from reputed institutes 2. 3+ years of applied ML/AI production-level experience 3. Strong programming skills (R/Python) 4. Proven ability to lead AI/ML projects end-to-end 5. Strong grounding in mathematics, probability, and statistics 6. Hands-on experience with data analysis, visualization techniques, and ML frameworks (Python, R, H2O, Keras, TensorFlow, Spark ML) 7. Experience with semi-structured/unstructured data for AI/ML models 8. Strong understanding of building AI models using Deep Neural Networks 9. Experience with Big Data technologies (Hadoop, Cassandra) 10. Ability to source and combine data from multiple sources for ML models Preferred Qualifications: 1. Good communication skills in English 2. Certifying MI MOOCs, a plus 3. Domain knowledge in Telecommunication/IoT, a plus 4. Experience with data visualization and dashboard creation, a plus 5. Knowledge of Cognitive models, a plus 6. Experience in partnering and collaborative co-creation in a global matrix organization. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?

MTS Software System Design Eng. Bangalore, India Engineering 66200 Job Description WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ MTS SOFTWARE SYSTEM DESIGN ENGINEER THE ROLE: We are seeking an engineer to join our team that will thrive in a fast-paced work environment, using effective communication, problem-solving and prioritization skills. Individuals that are well organized, show great attention to detail, and employ critical thinking are well-suited for our team. THE PERSON: This AMD (Advanced Micro Devices) team is looking for a senior level person that can help guide the team, mentor upcoming developers, provide long range strategy, and is willing to jump in to help resolve issues quickly. You will be involved in all areas that impact the team including performance, automation, and development. The right candidate will be informed on the latest trends and become prepared to give consultative direction to senior management. KEY RESPONSIBILITIES: Diagnose, troubleshoot, and resolve complex issues related to GPU communication, performance bottlenecks, and scalability. Enhance and maintain RCCL (Radeon Collective Communication Library). Collaborate with hardware engineers and other software developers to optimize performance across various interconnects. Work closely with data scientists and AI teams to integrate RCCL with major deep learning frameworks like TensorFlow and PyTorch. Contribute to the improvement of documentation and user guides for RCCL and associated software components. Stay informed of the latest advancements in GPU technologies, collective communication strategies, and HPC (High-Performance Computing) trends. Mentor engineers and technical leaders, fostering a culture of innovation and excellence. Help develop the next generation of leaders through coaching, training, and feedback. PREFERRED EXPERIENCE: 7+ years of Total experience and Deep expertise with distributed programming models (MPI, SHMEM), and the implementation and optimization of collective communication algorithms Deep expertise with RoCE, RDMA, and network topologies Experience with system software development in C/C++, and GPU software development, parallel programing and GPU architectures. Strong programming skills in C++, CUDA, HIP, MPI, OpenMP or similar parallel computing languages. Familiarity with ROCm ecosystem and open-source development processes is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent written and verbal communication skills. ACADEMIC CREDENTIALS: Bachelor’s or Master’s in Computer Science, or a closely related field #LI-SK4 AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Job Description Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth and expense reduction in partnership with the businesses. The role of C12 (Individual Contributor) AVP is within Fraud Analytics team in Citi AIM. The primary area of focus for this position is to analyze transaction data, understand fraud pattern , develop fraud loss mitigation strategies with the objective of overall business goal of minimizing fraud losses as well as minimizing customer impact. The person will also be responsible for monitoring strategy performance, collaborate with strategy implementation team for strategy implementation, proactively come up with fraud loss mitigation measure leveraging new data sources, advanced analytics techniques wherever applicable. Job Description Summary: The individual is expected to be hands-on with analysis on regular and / or ad hoc basis, extract different data sources not only limited to transactions depending upon business objective, generate fraud risk insights , recommend business solution as well as regular monitoring of strategy performance , optimize existing rules to improve rule performance. The individual should be able to work on Logistic Regression/ ML Model development irrespective of development environment regardless of the programming language, provide thought leadership for all data solution that includes designing, developing and implementing Machine Learning solutions Individual should be able to have a holistic view of different retail banking products, best practices and integrating analytical thinking and knowledge of business along with data analysis tools and methodologies to develop client centric solutions and recommendations. Analytics experience preferably in BFSI domain with proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling.Comfortable in decision tree (CHAID/CART), Logistic Regression, exploratory data analysis. Strong in SAS,SQL,Hive,Impala and Excel. Knowledge in Python is desirable. Prior experience in Fraud Analytics is preferrable. Knowledge in Tableau or any other data visualization tool is preferrable. Experience in stakeholder management across various functions and regions. Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies and communicate clearly and effectively to business partners and senior leaders. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Presentation Skills : Delivering clean and clear presentations to share the thoughts, the solutions or the problem for business stakeholders and senior management. Project Management – Should have skillset to manage project in terms of creating project plan, assigning responsibilities amongst junior team members, and completion of projects in timely fashion and escalating managing and reporting control issues with transparency. Own and deliver multiple and complex analytic projects. This would require an understanding of business context, conversion of business problems in business solutions and/or modeling and implementing such solutions to create economic value. The individual is expected to support regulatory/audit activities and /or other risk and control activities whenever needed. Qualifications: 8+ years of analytics experience including model development, prior experience in Fraud analytics preferrable Good knowledge of Python, SQL, and Big Data. Working knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.) Advanced analytical and business strategy skills Effective communication skills Ability to present to business partners and/or leaders to gain approvals. Project and process management skills Excellent written and verbal communications skill Experience with a prior focus in financial services analytics. Solid organizational skills and ability to manage multiple projects at one time. Self-starter who also has a demonstrated ability to work successfully in team environment and drive. Education: Bachelors/University degree or equivalent experience. Master’s degree is preferable. - Job Family Group: Decision Management - Job Family: Specialized Analytics (Data Science/Computational Statistics) - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Overview: WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ Responsibilities: THE ROLE: We are seeking an engineer to join our team that will thrive in a fast-paced work environment, using effective communication, problem-solving and prioritization skills. Individuals that are well organized, show great attention to detail, and employ critical thinking are well-suited for our team. THE PERSON: This AMD (Advanced Micro Devices) team is looking for a senior level person that can help guide the team, mentor upcoming developers, provide long range strategy, and is willing to jump in to help resolve issues quickly. You will be involved in all areas that impact the team including performance, automation, and development. The right candidate will be informed on the latest trends and become prepared to give consultative direction to senior management. KEY RESPONSIBILITIES: Diagnose, troubleshoot, and resolve complex issues related to GPU communication, performance bottlenecks, and scalability. Enhance and maintain RCCL (Radeon Collective Communication Library). Collaborate with hardware engineers and other software developers to optimize performance across various interconnects. Work closely with data scientists and AI teams to integrate RCCL with major deep learning frameworks like TensorFlow and PyTorch. Contribute to the improvement of documentation and user guides for RCCL and associated software components. Stay informed of the latest advancements in GPU technologies, collective communication strategies, and HPC (High-Performance Computing) trends. Mentor engineers and technical leaders, fostering a culture of innovation and excellence. Help develop the next generation of leaders through coaching, training, and feedback. PREFERRED EXPERIENCE: 12+ years of Total experience and Deep expertise with distributed programming models (MPI, SHMEM), and the implementation and optimization of collective communication algorithms Deep expertise with RoCE, RDMA, and network topologies Experience with system software development in C/C++, and GPU software development, parallel programing and GPU architectures. Strong programming skills in C++, CUDA, HIP, MPI, OpenMP or similar parallel computing languages. Familiarity with ROCm ecosystem and open-source development processes is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent written and verbal communication skills. ACADEMIC CREDENTIALS: Bachelor’s or Master’s in Computer Science, or a closely related field #LI-SK4 Qualifications: Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Job Description: Prwatech is seeking a passionate and knowledgeable Data Science Trainer to deliver hands-on training sessions to students and professionals. The ideal candidate should have a solid understanding of data science concepts, practical experience with tools and technologies, and a desire to guide learners toward success in the field. Key Responsibilities: Conduct classroom and online training sessions in Data Science and Machine Learning. Deliver content on Python, SQL, Data Analysis, Machine Learning, Deep Learning, and related tools. Guide students through real-time projects and capstone assignments. Develop and update training material and practice exercises. Resolve queries and provide one-on-one mentoring support. Assist in evaluating student performance and providing feedback. Stay current with industry trends and update content accordingly. Required Skills: Strong knowledge of Python, NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch. Good command over SQL and data visualization tools (Matplotlib, Seaborn). Understanding of statistics, data preprocessing, and model evaluation. Excellent communication and presentation skills. Passion for teaching and mentoring. Eligibility: Bachelor’s/Master’s in Computer Science, Statistics, Data Science, or a related field. Freshers with strong knowledge and project work are welcome. Prior experience in teaching or corporate training is an added advantage. Job Types: Full-time, Permanent, Fresher Pay: ₹230,000.00 - ₹240,000.00 per year Schedule: Day shift Work Location: In person

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 : Large Language Models Good to have skills : NA Minimum 15 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 designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. 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. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and mentoring within the team to enhance overall performance. - Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of cloud-based AI services and their integration. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI solutions. Additional Information: - The candidate should have minimum 12 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full time education is required. 15 years full time education

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: This job will drive the strategic vision and development of cutting-edge machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description: Essential Responsibilities: Define and drive the strategic vision for machine learning initiatives at the organizational level. Lead the development and optimization of state-of-the-art machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Mentor and guide junior engineers and data scientists. Publish research findings and contribute to industry discussions. Represent the company at conferences and external engagements. Influence the direction of the company's AI/ML strategy and contribute to long-term planning. Minimum Qualifications: Minimum of 18 years of relevant work experience and a Bachelor's degree or equivalent experience. Deep expertise with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Extensive experience with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Recognized as an industry expert with a strong publication record. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

We are looking for a talented AI Engineer with 4 + years of experience to join our growing team. In this role, you'll focus on building and refining conversational AI and speech analytics systems , driving innovation in how we process, analyze, and understand voice interactions. Role Objectives: - Design and implement advanced conversational AI solutions - Develop intelligent agent assist features - Optimize real-time natural language understanding and generation - Enhance customer interaction quality through AI technologies Key Responsibilities: - Design and develop machine learning models for intent recognition - Create context-aware dialogue management systems - Implement real-time inference optimization techniques - Build robust natural language understanding pipelines - Develop and maintain speech recognition and synthesis components - Conduct performance testing and model evaluation - Collaborate with product and engineering teams Required Technical Skills: - Advanced proficiency in Python - Deep learning frameworks (TensorFlow/PyTorch/JAX) - Natural Language Processing techniques - Machine learning model development - Real-time system design - Experience with transformer models - Knowledge of dialogue systems architecture - Knowledge of distributed training strategies - Knowledge of model compression techniques Expertise in: - Conversational AI - Machine Learning - Speech recognition - Intent/entity extraction - Context tracking - Dynamic response generation Preferred Background: - Bachelor's or Master's in Computer Science, AI, Computational Linguistics - 4+ years professional experience in conversational AI Preferred Qualifications: - Published research or significant contributions in NLP/AI domains Soft Skills: - Strong problem-solving abilities - Excellent communication skills - Collaborative team player - Innovative thinking - Adaptability in rapidly evolving AI landscape Job Type: Full-time Pay: ₹4,000,000.00 - ₹4,700,000.00 per year Benefits: Flexible schedule Health insurance Leave encashment Paid sick time Paid time off Provident Fund Work from home Schedule: Evening shift Fixed shift Monday to Friday Weekend availability Supplemental Pay: Overtime pay Performance bonus Yearly bonus Work Location: In person

CDM Smith is seeking an Artificial Intelligence/Machine Learning Engineer to join our Digital Engineering Solutions team. This individual will be part of the Data Technology group within the Digital Engineering Solutions team, helping to drive strategic Architecture, Engineering and Construction (AEC) initiatives using cutting-edge data technologies and analytics to deliver actionable business insights and robust solutions for AEC professionals and client outcomes. The Data Technology group will lead the firm in AEC-focused Business Intelligence and data services by providing architectural guidance, technological vision, and solution development. The Data Technology group will specifically utilize advanced analytics, data science, and AI/ML to give our business and our products a competitive advantage. It includes understanding and managing the data, how it interconnects, and architecting & engineering data for self-serve BI and BA opportunities. This position is for a person who has demonstrated excellence in AI/ML engineering capabilities, experienced with data technology and processes, and enjoys framing a problem, shaping, and creating solutions, and helping to lead and champion implementation. As a member of the Digital Engineering Solutions team, the Data Technology group will also engage in research and development and provide guidance and oversight to the AEC practices at CDM Smith, engaging in new product research, testing, and the incubation of data technology-related ideas that arise from around the company. Key Responsibilities: Contributes to advanced analytics and uses artificial intelligence (AI) and machine learning (ML) solution techniques that address complex business challenges, particularly within the AEC domain. Apply state-of-the-art algorithms and techniques such as deep learning, NLP, computer vision, and time-series analysis for domain-specific use cases. Analyzes large datasets to identify patterns and trends. Participates in the testing and validation of AI model accuracy and reliability to ensure models perform in line with business requirements and expectations. Assist with AI/ML workflows optimization by implementing MLOps practices, including CI/CD pipelines, model retraining, and version control. Collaborate with Data Engineers, Data Scientists, and other stakeholders to design and implement end-to-end AI/ML solutions. Stay abreast of the latest developments and advancements, including new and emerging technologies & best practices and new tools & software applications and how they could impact CDM Smith. Assist with the development of documentation, standards, best practices, and workflows for data technology hardware/software in use across the business. Performs other duties as required. Skills and Abilities: Good understanding of the software development life cycle. Basic experience with building and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Basic experience with cloud-based AI/ML services, particularly in Microsoft Azure and Databricks. Basic experience with programming languages (ex: R, Python, Scala, etc.). Knowledge of MLOps practices, including automated pipelines, model versioning, monitoring, and lifecycle management. Knowledge of data privacy, security, and ethical AI principles, ensuring compliance with relevant standards. Excellent problem-solving and critical thinking skills to identify and address technical challenges effectively. Strong critical thinking skills to generate innovative solutions and improve business processes. Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Detail oriented with the ability to assist with executing highly complex or specialized projects. Minimum Qualifications Bachelor’s degree. 0 – 2 years of related experience. Equivalent additional related experience will be considered in lieu of a degree. Amount of Travel Required 0% Background Check and Drug Testing Information CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as “CDM Smith”) reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing. Agency Disclaimer All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee. Business Unit COR Group COR Assignment Category Fulltime-Regular Employment Type Regular

Job Description Summary The Senior NLP Data Scientist will work in teams addressing natural language processing, large language models (LLMs), and agentic AI problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of advanced NLP techniques, large language models, agentic AI systems, and semantic analysis methods for extracting and understanding structure in large text data sets. Job Description Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview Develop and implement state-of-the-art NLP models and algorithms, with a focus on large language models (LLMs) and agentic AI. Collaborate with cross-functional teams to identify and solve complex NLP problems in various domains. Design and conduct experiments to evaluate the performance of NLP models and improve their accuracy and efficiency. Deploy NLP models into production environments, ensuring scalability and robustness. Analyze large text data sets to uncover insights and patterns using advanced statistical and machine learning techniques. Stay up-to-date with the latest research and advancements in NLP, LLMs, and agentic AI, and apply this knowledge to ongoing projects. Communicate findings and recommendations to stakeholders through clear and concise reports and presentations. Mentor and guide junior data scientists and engineers in best practices for NLP and machine learning. Develop and maintain documentation for NLP models, algorithms, and processes. Collaborate with product managers and engineers to integrate NLP solutions into products and services. Conduct code reviews and ensure adherence to coding standards and best practices. Participate in the development of data collection and annotation strategies to improve model performance. Contribute to the development of intellectual property, including patents and publications, in the field of NLP and AI The Ideal Candidate Ideal candidate should have experience in Image Analytics, Computer Vision, Python and cloud platforms Required Qualifications Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with 5+ experience in data science Demonstrated skill in the use of Python and / or other analytic software tools or languages Demonstrated skill in guiding teams to solve business problems Strong communication, interpersonal and leadership skills Preferred Qualification Proven experience in developing and deploying NLP models, particularly large language models (LLMs) and agentic AI systems. Strong programming skills in Python and familiarity with NLP libraries and frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, Langchain, Langgraph and spaCy. Experience with cloud platforms and tools for deploying machine learning models (e.g., AWS, GCP, Azure). Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Experience with transfer learning, fine-tuning, and prompt engineering for LLMs. Knowledge of agentic AI principles and their application in real-world scenarios. Familiarity with big data technologies and tools such as Hadoop, Spark, and SQL. Publications or contributions to the NLP and AI research community. At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. Additional Information Relocation Assistance Provided: Yes Show more Show less

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About Yubi Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any and all capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset based securitization Spocto - Debt recovery & risk mitigation platform Corpository - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises So far, we have on-boarded over 17000+ enterprises, 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story. Job Summary: We are looking for a highly skilled Data Scientist (LLM) to join our AI and Machine Learning team. The ideal candidate will have a strong foundation in Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) , along with hands-on experience in building and deploying conversational AI/chatbots . The role requires expertise in LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph . You will work closely with cross-functional teams to drive the development and enhancement of AI-powered applications. Key Responsibilities: Develop, fine-tune, and deploy Large Language Models (LLMs) for various applications, including chatbots, virtual assistants, and enterprise AI solutions. Build and optimize conversational AI solutions with at least 1 year of experience in chatbot development. Implement and experiment with LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph . Design and develop ML/DL-based models to enhance natural language understanding capabilities. Work on retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to enhance LLM-based applications. Optimize and fine-tune transformer-based models such as GPT, LLaMA, Falcon, Mistral, Claude, etc. for domain-specific tasks. Develop and implement prompt engineering techniques and fine-tuning strategies to improve LLM performance. Work on AI agents, multi-agent systems, and tool-use optimization for real-world business applications. Develop APIs and pipelines to integrate LLMs into enterprise applications. Research and stay up to date with the latest advancements in LLM architectures, frameworks, and AI trends . Requirements Required Skills & Qualifications: 3-5 years of experience in Machine Learning (ML), Deep Learning (DL), and NLP-based model development. Hands-on experience in developing and deploying conversational AI/chatbots is Plus Strong proficiency in Python and experience with ML/DL frameworks such as TensorFlow, PyTorch, Hugging Face Transformers . Experience with LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph . Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and embedding models . Understanding of Prompt Engineering and Fine-tuning LLMs . Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale. Experience in working with APIs, Docker, FastAPI for model deployment. Strong analytical and problem-solving skills. Ability to work independently and collaboratively in a fast-paced environment. Good to Have: Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.) . Knowledge of Knowledge Graphs and Symbolic AI . Understanding of MLOps and LLMOps for deploying scalable AI solutions. Experience in automated evaluation of LLMs and bias mitigation techniques . Research experience or published work in LLMs, NLP, or Generative AI is a plus. Why Join Us? Opportunity to work on cutting-edge LLM and Generative AI projects . Collaborative and innovative work environment. Competitive salary and benefits. Career growth opportunities in AI and ML research and development. Show more Show less