6009 Tensorflow Jobs - Page 30

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Mumbai, Maharashtra, India; Hyderabad, Telangana, India; Bengaluru, Karnataka, India; Gurugram, Haryana, India Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience 10 years of experience in Big Data, Data Warehouse, Data Modelling, Data Mining and Hadoop Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow Experience in GCP Preferred qualifications: Experience in Big Data, information retrieval, data mining, or Machine Learning Experience with IaC and CICD tools like Terraform, Ansible, Jenkins etc Experience architecting, developing software, or Big Data solutions in virtualized environments Experience with encryption techniques like symmetric, asymmetric, HSMs, and envelop Ability to implement secure key storage using Key Management System About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business ? all with technology built in the cloud Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware Our teams are dedicated to helping our customers ? developers, small and large businesses, educational institutions and government agencies ? see the benefits of our technology come to life As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners As a Data and Analytics Consultant, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform You will work on data migrations and modernization projects, and with customers to design data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges You will have an understanding of data governance and security controls, and will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers You will work with Product Management and Product Engineering teams to build and drive excellence in products Google Cloud accelerates every organizations ability to digitally transform its business and industry We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems Responsibilities Interact with stakeholders to translate customer requirements into recommendations for appropriate solution architectures and advisory services Engage with technical leads, and partners to lead high velocity migration and modernization to Google Cloud Platform (GCP) Help Google cloud customers with current infrastructure assessment, design and architect goal infrastructure, develop a migration plan, and deliver technical workshops to educate them on GCP Participate in technical and design discussions with technical teams to speed up the adoption process and ensure best practices during implementation Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form

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 worlds most important challenges We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives AMD together we advance_ The Role The AI Models team is looking for exceptional machine learning scientists and engineers to explore and innovate on training and inference techniques for large language models (LLMs), large multimodal models (LMMs), image/video generation and other foundation models You will be part of a world-class research and development team focussing on efficient and scalable pre-training, instruction tuning, alignment and optimization As an early member of the team, you can help us shape the direction and strategy to fulfill this important charter The Person This role is for you if you are passionate about reading through the latest literature, coming up with novel ideas, and implementing those through high quality code to push the boundaries on scale and performance The ideal candidate will have both theoretical expertise and hands-on experience with developing LLMs, LMMs, and/or diffusion models We are looking for someone who is familiar with hyper-parameter tuning methods, data preprocessing & encoding techniques and distributed training approaches for large models Key Responsibilities Pre-train and post-train models over large GPU clusters while optimizing for various trade-offs Improve upon the state-of-the-art in Generative AI model architectures, data and training techniques Accelerate the training and inference speed across AMD accelerators Build agentic frameworks to solve various kinds of problems Publish your research at top-tier conferences, workshops and/or through technical blogs Engage with academia and open-source ML communities Drive continuous improvement of infrastructure and development ecosystem Preferred Experience Strong development and debugging skills in Python Experience in deep learning frameworks (like PyTorch or TensorFlow) and distributed training tools (like DeepSpeed or Pytorch Distributed) Experience with fine-tuning methods (like RLHF & DPO) as well as parameter efficient techniques (like LoRA & DoRA) Solid understanding of various types of transformers and state space models Strong publication record in top-tier conferences, workshops or journals Solid communication and problem-solving skills Passionate about learning new stuffs in this domain as well as innovating on top of it Academic Credentials Advanced degree (Masters or PhD) in machine learning, computer science, artificial intelligence, or a related field is expected Exceptional Bachelors degree candidates may also be considered 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 applicantsneeds under the respective laws throughout all stages of the recruitment and selection process

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience Experience in distributed data processing frameworks and modern age Google Cloud Platform (GCP) analytical and transactional data stores like BigQuery, CloudSQL, AlloyDB etc, and experience in one Database type to write SQLs Experience in distributed data processing frameworks and modern age GCP analytical and transactional data stores like BigQuery, CloudSQL, AlloyDB etc, and experience in one Database type to write SQLs Experience in GCP Preferred qualifications: Experience in working with/on data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools, environments, and data structures Experience with encryption techniques like symmetric, asymmetric, HSMs, and envelop, and ability to implement secure key storage using Key Management System Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments Experience in Big Data, information retrieval, data mining, or Machine Learning Experience with IaC and CICD tools like Terraform, Ansible, Jenkins etc About The Job The Google Cloud Platform team helps customers transform and build what's next for their business ? all with technology built in the cloud Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware Our teams are dedicated to helping our customers ? developers, small and large businesses, educational institutions and government agencies ? see the benefits of our technology come to life As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform You will work on data migrations and modernization projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product tests You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers Additionally, you will work with Product Management and Product Engineering teams to build and drive excellence in our products Google Cloud accelerates every organizations ability to digitally transform its business and industry We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems Responsibilities Interact with stakeholders to translate customer requirements into recommendations for appropriate solution architectures and advisory services Engage with technical leads, and partners to lead high velocity migration and modernization to Google Cloud Platform (GCP) Design, Migrate/Build and Operationalize data storage and processing infrastructure using Cloud native products Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data Take various project requirements and organize them into clear goals and objectives, and create a work breakdown structure to manage internal and external stakeholders Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form

Minimum qualifications: Bachelor's degree or equivalent practical experience 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree 2 years of experience with data structures or algorithms 1 year of experience with ML infrastructure (e g , model deployment, model evaluation, optimization, data processing, debugging) 1 year of experience with GenAI concepts (Large Language Model, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields Experience developing accessible technologies Experience in Machine Learning and in Generative AI Experience in large scale data systems Experience with Python, Notebooks, ML Frameworks (e g Tensorflow) About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another Our products need to handle information at massive scale, and extend well beyond web search We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward Google Cloud accelerates every organizations ability to digitally transform its business and industry We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems Responsibilities Explore and execute on GenAI technology Take initiative, and be adept at navigating ambiguity Facilitate alignment within the team Manage project priorities, deadlines, and deliverables Design, develop, test, deploy, maintain, and enhance large scale software solutions Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form

We are seeking individuals with advanced expertise in Machine Learning (ML) to join our dynamic team. As an Applied AI ML Lead within our Corporate Sector, you will play a pivotal role in developing machine learning and deep learning solutions, and experimenting with state of the art models. You will contribute to our innovative projects and drive the future of machine learning at AI Technologies. You will use your knowledge of ML tools and algorithms to deliver the right solution. You will be a part of an innovative team, working closely with our product owners, data engineers, and software engineers to build new AI/ML solutions and productionize them. You will also mentor other AI engineers and scientists while fostering a culture of continuous learning and technical excellence. We are looking for someone with a passion for data, ML, and programming, who can build ML solutions at-scale with a hands-on approach with detailed technical acumen. Job responsibilities Serve as a subject matter expert on a wide range of machine learning techniques and optimizations. Provide in-depth knowledge of machine learning algorithms, frameworks, and techniques. Enhance machine learning workflows through advanced proficiency in large language models (LLMs) and related techniques. Conduct experiments using the latest machine learning technologies, analyze results, and tune models. Engage in hands-on coding to transition experimental results into production solutions by collaborating with the engineering team, owning end-to-end code development in Python for both proof of concept/experimentation and production-ready solutions. Optimize system accuracy and performance by identifying and resolving inefficiencies and bottlenecks, collaborating with product and engineering teams to deliver tailored, science and technology-driven solutions. Integrate Generative AI within the machine learning platform using state-of-the-art techniques, driving decisions that influence product design, application functionality, and technical operations and processes Required qualifications, capabilities, and skills Formal training or certification on AI/ML concepts and 5+ years applied experience Hans on experience in programming languages, particularly Python. Manage to apply data science and machine learning techniques to address business challenges. Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs). Expertise in deep learning frameworks such as PyTorch or TensorFlow, and advanced applied ML areas like GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, and RAG (Similarity Search). Manage to complete tasks and projects independently with minimal supervision, with a passion for detail and follow-through. Excellent communication skills, team player, and demonstrated leadership in collaborating effectively with engineers, product managers, and other ML practitioners Preferred qualifications, capabilities, and skills Exposure with Ray, MLFlow, and/or other distributed training frameworks. MS and/or PhD in Computer Science, Machine Learning, or a related field. Understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Familiar in Reinforcement Learning or Meta Learning. Understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Exposure building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Machine Learning Engineer Job Location: Hyderabad More details below: Join a new and growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities. See your work directly impact billions of mobile devices around the world. In this position, you will be responsible for the development and commercialization of ML solutions like Snapdragon Neural Processing Engine (SNPE) and AI Model Efficiency Toolkit (AIMET) on Qualcomm SoCs. You will have expert knowledge of design, improvement, and maintenance of large AI software stacks using best practices. Work Experience: 1. 8-12 years of relevant work experience in software development 2. Live and breathe quality software development with excellent analytical and debugging skills. Strong understanding of Deep Learning and Machine learning theory and practice. 3. Experience with Deep learning model development. Data transformations, model training, model design, model optimization. 4. Familiarity with various deep learning architectures and problem domains like Computer Vision, Speech recognition, NLP etc. 5. Strong development skills in Python and C++. Experience with at least one machine learning framework like TensorFlow, ONNX, Pytorch, etc. 6. Understanding of software development and debugging in embedded environments. 7. Excellent communication skills (verbal, presentation, written) 8. Ability to collaborate across a globally diverse team and multiple interests. Preferred Qualifications 1. Familiarity with neural network operators and model formats including PyTorch, ONNX, and Tensorflow. 2. Familiarity with neural network optimization techniques like graph optimization, quantization, pruning, knowledge distillation, network architecture search etc. 3. Strong understanding about embedded systems, system design fundamentals. 4. Well versed in version control tools like git 5. Experience with machine learning accelerators, optimizing algorithms for hardware acceleration cores, working with heterogeneous or parallel computing systems. Educational Requirements Bachelor's/Master’s/PhD in Computer Science, Computer Engineering, or Electrical Engineering

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Principal / Senior Systems Performance Engineer Micron Data Center and Client Workload Engineering in Hyderabad, India, is seeking a senior/principal engineer to join our dynamic team. The successful candidate will primarily contribute to the ML development, ML DevOps, HBM program in the data center by analyzing how AI/ML workloads perform on the latest MU-HBM, Micron main memory, expansion memory and near memory (HBM/LP) solutions, conduct competitive analysis, showcase the benefits that workloads see with MU-HBM’s capacity / bandwidth / thermals, contribute to marketing collateral, and extract AI/ML workload traces to help optimize future HBM designs. Job Responsibilities: The Job Responsibilities include but are not limited to the following: Design, implement, and maintain scalable & reliable ML infrastructure and pipelines. Collaborate with data scientists and ML engineers to deploy machine learning models into production environments. Automate and optimize ML workflows, including data preprocessing, model training, evaluation, and deployment. Monitor and manage the performance, reliability, and scalability of ML systems. Troubleshoot and resolve issues related to ML infrastructure and deployments. Implement and manage distributed training and inference solutions to enhance model performance and scalability. Utilize DeepSpeed, TensorRT, vLLM for optimizing and accelerating AI inference and training processes. Understand key care abouts when it comes to ML models such as: transformer architectures, precision, quantization, distillation, attention span & KV cache, MoE, etc. Build workload memory access traces from AI models. Study system balance ratios for DRAM to HBM in terms of capacity and bandwidth to understand and model TCO. Study data movement between CPU, GPU and the associated memory subsystems (DDR, HBM) in heterogeneous system architectures via connectivity such as PCIe/NVLINK/Infinity Fabric to understand the bottlenecks in data movement for different workloads. Develop an automated testing framework through scripting. Customer engagements and conference presentations to showcase findings and develop whitepapers. Requirements: Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience in data preparation: cleaning, splitting, and transforming data for training, validation, and testing. Proficiency in model training and development: creating and training machine learning models. Expertise in model evaluation: testing models to assess their performance. Skills in model deployment: launching server, live inference, batched inference Experience with AI inference and distributed training techniques. Strong foundation in GPU and CPU processor architecture Familiarity with and knowledge of server system memory (DRAM) Strong experience with benchmarking and performance analysis Strong software development skills using leading scripting, programming languages and technologies (Python, CUDA, C, C++) Familiarity with PCIe and NVLINK connectivity Preferred Qualifications: Experience in quickly building AI workflows: building pipelines and model workflows to design, deploy, and manage consistent model delivery. Ability to easily deploy models anywhere: using managed endpoints to deploy models and workflows across accessible CPU and GPU machines. Understanding of MLOps: the overarching concept covering the core tools, processes, and best practices for end-to-end machine learning system development and operations in production. Knowledge of GenAIOps: extending MLOps to develop and operationalize generative AI solutions, including the management of and interaction with a foundation model. Familiarity with LLMOps: focused specifically on developing and productionizing LLM-based solutions. Experience with RAGOps: focusing on the delivery and operation of RAGs, considered the ultimate reference architecture for generative AI and LLMs. Data management: collect, ingest, store, process, and label data for training and evaluation. Configure role-based access control; dataset search, browsing, and exploration; data provenance tracking, data logging, dataset versioning, metadata indexing, data quality validation, dataset cards, and dashboards for data visualization. Workflow and pipeline management: work with cloud resources or a local workstation; connect data preparation, model training, model evaluation, model optimization, and model deployment steps into an end-to-end automated and scalable workflow combining data and compute. Model management: train, evaluate, and optimize models for production; store and version models along with their model cards in a centralized model registry; assess model risks, and ensure compliance with standards. Experiment management and observability: track and compare different machine learning model experiments, including changes in training data, models, and hyperparameters. Automatically search the space of possible model architectures and hyperparameters for a given model architecture; analyze model performance during inference, monitor model inputs and outputs for concept drift. Synthetic data management: extend data management with a new native generative AI capability. Generate synthetic training data through domain randomization to increase transfer learning capabilities. Declaratively define and generate edge cases to evaluate, validate, and certify model accuracy and robustness. Embedding management: represent data samples of any modality as dense multi-dimensional embedding vectors; generate, store, and version embeddings in a vector database. Visualize embeddings for improvised exploration. Find relevant contextual information through vector similarity search for RAGs. Education: Bachelor’s or higher (with 12+ years of experience) in Computer Science or related field. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India . Minimum qualifications: Bachelor's degree or equivalent practical experience. 1 year of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 1 year of experience managing projects and defining project scope, goals, and deliverables. Preferred qualifications: 2 years of experience in the Payments industry, working on risk or fraud management and in one or more of the following areas: statistical analysis and machine learning libraries (e.g., R, Scikit-learn,Tensorflow), programming languages (e.g., Python, C/C++), Large Language Models (LLMs) or Generative AI. Experience in innovation, technology and Google products. Ability to interact with internal and external stakeholders with attention to detail in an ever-changing environment. Ability to identify workflow pain points, optimize, automate and scale processes. Excellent communication, problem-solving and critical thinking skills. About the job Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. In this role, you will work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed, in order to ensure a safe and secure Payments ecosystem for our users. You will identify and solve problems and have technical skills to optimize our processes and tools. You will be proactive, motivated, organized, reliable, and able to work well in a fast-paced, global, cross-functional, and team-oriented environment to get things done. You will promote users trust in Google and ensure the highest levels of user safety. At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages. Responsibilities Investigate fraud and abuse incidents, identify patterns and trends in order to generate risk management solutions. Promote user trust and safety by managing and mitigating payment fraud, scams and abuse on Google products and services. Perform statistical analysis using payments and risk data warehouse, collaborate with engineering and product teams to create and enhance tools, develop signals, improve system functionality, accuracy and efficiency. Facilitate and manage operations programs, working closely with Google engineers, product managers and vendor operations to develop and track project schedules and timelines. Use technical experience to drive and implement automation opportunities. Perform end-to-end assessment of the associated risk and vulnerability of products and features. Respond to escalations from internal and external parties within designated service levels. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Role & responsibilities: Strategy & Roadmap: Build and define Brainlabs global Data Science capability roadmap, focused on advanced media optimisation and marketing effectiveness Product Development : Work through all stages of product development: defining capability, crafting business solutions, gathering/structuring data, building ML/DL/AI models, and communicating business impact. Innovation : Research and bring innovations to develop next-generation solutions in marketing & media analytics, incorporating advancements like GPT, LLMs, Agentic AI and multimodal data pipelines Team Leadership: Grow and mentor a high-performing data science team, driving thought leadership, R&D culture, and global collaboration. Pre-sales Support: Estimate project efforts, creating detailed proposals, and developing Statements of Work (SOWs). respond to Requests for Proposals (RFPs) with innovative, tailored analytics solutions. Client/Stakeholder Communication: Engage with diverse stakeholders, including clients, team members, and management. Organizational Initiatives: Lead key organizational initiatives focused on enhancing operational efficiency, service quality, and employee engagement. Analysis: Ability to analyze data and prescribe model-based recommendations/actions for the end users. Process Management: Manage projects in an Agile environment. Preferred candidate profile: Experienced: A visionary leader with 12-15 years in Data Science projects, 4+ years in Marketing Analytics Educated : Bachelors/Masters degree in relevant field (Math, Statistics, Analytics, Operational Research or related disciplines) Technically Skilled: Experience building ML/DL/NLP/AI models (Python, R, Scala). Experienced with frameworks like TensorFlow, PyTorch, YOLO as well as marketing specific models like Meridian, Robyn and PyMC LLM & AI Specialist: Deep understanding of Agentic AI frameworks (AutoGPT, BabyAGI, OpenAgents) and LLMs (GPT, Claude, Gemini, LLaMA) Cloud & MLOps Fluent: Familiar with MLOps, ML safety and building scalable architectures on AWS, GCP, Azure, or Nvidia stack

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Apply advanced statistical techniques, data science methodologies, and AI practices, including generative AI using GPT models Design, develop, and implement cutting-edge generative AI models and systems Perform data mining, cleaning, and aggregation to prepare datasets for analysis Manage and query data while ensuring high standards of data quality and integrity Communicate complex insights through compelling data storytelling and visualizations using Power BI Leverage ML Ops practices to deploy and manage machine learning models in production environments Collaborate in an agile team setting, actively participating in sprint planning, reviews, and retrospectives Adhere to company policies, employment terms, and evolving business directives, including flexibility in work location, team assignments, and work arrangements Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: 5+ years of experience in data science with a strong foundation in machine learning, statistics, and data science methodologies 1+ years of hands-on experience applying AI to real-world technology solutions Experience fine-tuning LLM hyperparameters and optimizing model configurations for performance and client impact Hands-on experience with ML Ops and deploying models in production Familiarity with embeddings and other advanced data science techniques Proficiency in Python, TensorFlow, NLP, and deep learning frameworks Demonstrated ability to collaborate with cross-functional teams to prototype, build, test, and scale GenAI/LLM-powered solutions Solid background in REST API development, NoSQL and RDBMS design, and performance optimization Proficiency in cloud platforms such as GCP, Microsoft Fabric, Azure Stack, and Azure ML Proven expertise in generative AI and GPT-based model development Proven advanced skills in data storytelling and visualization using Power BI Proven excellent communication and collaboration skills, especially with non-technical stakeholders Proven agile mindset with a proven ability to contribute effectively in agile teams Preferred Qualifications: Master’s degree in Data Science, Statistics, Computer Science, or a related field Experience working with healthcare data and a solid understanding of the healthcare industry At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. #Nic

Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose. Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege. Information Technology & Digital In IT&D, you'll be a force for good, whether you're championing cyber security, defining how we harness the power of technology to improve our business, or working with data to guide the innovation of consumer loved products. Working globally across functions, you'll own your projects and process from start to finish, with the influence and visibility to achieve what needs to be done. And if you're willing to bring your ideas to the table, you'll get the support and investment to make them happen. Your potential will never be wasted. You'll get the space and support to take your development to the next level. Every day, there will be opportunities to learn from peers and leaders through working on exciting, varied projects with real impact. And because our work spans so many different businesses, from Research and Product Development to Sales, you'll keep learning exciting new approaches. About the role The IT&D function is responsible for the digital transformation of the organization with the objective of driving commercial value and business growth. We use technology as a strategic asset to deliver a competitive edge to our business to outperform in the market. Data-led insights and decision-making is a key pillar that enables this objective. We are on the lookout for a rockstar data scientist & analytics lead who brings the expertise of mining information and using cutting-edge AI/ML capabilities to deliver invaluable business insights. Your responsibilities This role will be responsible for the below key job specifications: 1. Lead Reckitt South Asia’s data stack evolution and strategy to enhance our reporting and analytics capabilities. 2. Manage enterprise data model, data integrity, availability, and information confidentiality as its chief custodian. 3. Collaborate with cross-functional teams to understand business needs & identifying opportunities and integrate analytics-driven solutions into their business processes. 4. Leverage a profound understanding of mathematical & statistical principles in collaboration with sophisticated machine learning and decision-science algorithms and programming to solve key business challenges to deliver commercial value. 5. Stay abreast with industry trends, emerging technologies and best practices in data science, bringing innovative ideas to improve organizational performance. 6. As the regional product manager for data solutions, collaborate with the global product management to ensure strict adherence to guidelines, processes and templates and cross-pollination of best-practices. 7. As member of the South Asia IT&D team strive to bring together our cross-functional experts through data and by constantly striving to improve the data literacy of the overall function. The experience we're looking for 3-6years of experience post-qualification with significant experience in consumer goods/ durables/ retail/ food & beverages/ electronics/ retail industry with proven experience in using data science techniques for resolving business needs and challenges Demonstrated experience of industry, organizational and functional processes especially sales, supply and marketing. Comprehensive understanding of regression and classification algorithms with mathematical expertise. Proficiency in Python with relevant libraries and frameworks to address specific business problems (e.g., TensorFlow, PyTorch, scikit-learn). Experience in data modelling, visualization and building/managing data pipelines with automations (ETL/power automate) will be essential. Great problem-solving skills and depth of business understanding is a key consideration. Demonstrated ability to manage multiple stakeholders, partner to influence outcomes, building convincing narratives and driving multiple initiatives is essential. The skills for success Data Science, Analytics, Power BI, statistical Analytics, Predictive Analytics, ML, NLP, FMCG, Mix Market Modelling, Customer Segmentation. What we offer With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy. Equality We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.

Machine Learning Architect Location: Pune & Remote Experience: 8+ Years Job Summary: We are hiring a Machine Learning Architect with expertise in cloud-native ML deployment, optimization using Gurobi, and advanced decision systems on Google Cloud. Key Responsibilities: Design scalable ML solutions using GCP (Vertex AI, AutoML) Develop optimization models using Gurobi and Google OR Build automated ML pipelines Collaborate with business and engineering teams Qualifications: Bachelor's/Master’s in Computer Science, AI, or Data Science 5+ years in ML architecture Proficient in TensorFlow, PyTorch, Gurobi, BigQuery, Apache Spark Preferred: PhD or experience in Reinforcement Learning MLOps & CI/CD pipelines familiarity Apply Now! Job Types: Full-time, Permanent Pay: ₹2,160,000.00 - ₹2,280,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): What is your current CTC? What is your expected CTC? What is your official notice period/last working day? Experience: Total: 8 years (Required) ML Architecture: 5 years (Required) Work Location: In person

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 1st July 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

Job Title: Data Scientist Location: Pune (Work From Office) Experience Level: 3–5 Years Positions Available: 5 Job Description: We are seeking a highly motivated and analytically strong Data Scientist to join our team. The ideal candidate should have experience in building and deploying machine learning models, working with large-scale data processing tools, and delivering actionable insights in real-time systems. Key Responsibilities: Develop, train, and deploy ML models using Python , Scikit-Learn , TensorFlow , and PyTorch Perform real-time inference , anomaly detection , and unsupervised learning techniques on high-volume data Build and manage data pipelines using Spark , Airflow , and messaging systems like Kafka Work with modern data architectures including ClickHouse , SQL , PostgreSQL , and analytical databases Implement and optimize risk engines , credit scoring models , and payment system analytics Collaborate with cross-functional teams to integrate data science solutions into production Skills Required: Languages & Libraries: Python, Pandas, Scikit-Learn, TensorFlow, PyTorch Techniques: Real-Time Inference, Anomaly Detection, Unsupervised Learning Tools & Frameworks: Spark, Airflow, Kafka Databases: ClickHouse, SQL, PostgreSQL, Analytical Databases Domain Knowledge: Risk Engines, Credit Scoring, Payments Job Types: Full-time, Permanent Pay: ₹483,299.97 - ₹1,000,000.00 per year Benefits: Provident Fund Schedule: Day shift Monday to Friday Application Question(s): How soon you can join? What is your current CTC & expected CTC? Experience: Scikit-Learn: 5 years (Preferred) TensorFlow: 5 years (Preferred) Pandas: 5 years (Preferred) Kafka: 5 years (Preferred) Work Location: In person

Job Title: Lead AI/ML Engineer / Data Scientist (GIS & Image Processing) Location: Pune Experience: 4+ Years Employment Type: Full-Time Highly motivated and experienced Lead AI/ML Engineer or Data Scientist with deep expertise in GIS and/or Image Processing to architect and drive our AI initiatives. You will lead a team of engineers and data scientists, define technical direction, and deliver scalable, production-grade solutions for image and geospatial intelligence applications. Key Responsibilities: Lead the design, development, and deployment of AI/ML models for image and geospatial data processing. Architect end-to-end pipelines, from data ingestion and preprocessing to model deployment and monitoring. Work hands-on with geospatial datasets (satellite imagery, drone data, maps) and apply advanced image processing and computer vision techniques. Guide and mentor a team of junior and mid-level engineers/data scientists. Collaborate with product managers, domain experts, and stakeholders to align technical solutions with business goals. Review and improve model performance, scalability, and robustness through continuous evaluation and tuning. Ensure best practices in coding, model management, MLOps, and documentation. Stay up to date with the latest trends in AI, GIS, and image analytics, and bring innovative ideas into the team. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Geoinformatics or related fields. PhD is a plus. 6+ years of experience in AI/ML or Data Science roles with a strong focus on image processing or GIS. Proficient in Python, ML/DL frameworks (TensorFlow, PyTorch), and image processing libraries (OpenCV, scikit-image, PIL). Hands-on experience with geospatial tools and libraries (QGIS, GDAL, Geopandas, ArcGIS, rasterio). Proven track record in leading AI/ML projects and delivering production-grade systems. Experience with cloud infrastructure (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes). Strong understanding of geospatial data formats, coordinate systems, and remote sensing concepts. Preferred Skills : Experience with deep learning models for segmentation (e.g., UNet, Mask R-CNN) or object detection (YOLO, Faster R-CNN). Knowledge of satellite/drone data sources and preprocessing workflows. Familiarity with MLOps practices and tools like MLflow, Airflow, or Kubeflow. Exposure to data privacy, ethical AI, and regulatory compliance in geospatial applications. Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,400,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Experience: AI/ML: 6 years (Preferred) Work Location: In person

We are seeking a highly skilled AI & Machine Learning Instructor to deliver online training sessions. The ideal candidate should have expertise in AI, Machine Learning, Deep Learning, Python, and relevant frameworks such as TensorFlow, PyTorch, and Scikit-Learn. Responsibilities: Conduct live, interactive online classes on AI, Machine Learning, and related topics. Develop high-quality training materials, assignments, and quizzes. Guide and mentor students, providing support in practical implementation. Stay updated with the latest advancements in AI & ML and incorporate them into training. Requirements: Bachelor's/Master’s/PhD in Computer Science, AI, Data Science, or a related field. Proven experience in teaching AI & ML online or offline. Proficiency in Python, TensorFlow, PyTorch, Scikit-Learn, and NLP tools. Strong communication and presentation skills. Job Type: Part-time Pay: From ₹15,000.00 per month Expected hours: No less than 6 per week Schedule: Day shift Supplemental Pay: Commission pay Work Location: In person Expected Start Date: 01/07/2025

SDE 3 Backend AI Engineer About Teachmint: At Teachmint, we believe that education moves the world forward and deserves the best technology in this pursuit. We are a global classroom technology company empowering educators, students and institutions in over 50 countries. At the forefront of classroom innovation, Teachmint is transforming how education is delivered through its proprietary solutions—Teachmint X, an AI-powered connected classroom device; EduAI, an intelligent AI companion that empowers educators and learners to become self reliant; and our interactive AI whiteboard technology, designed to blend intelligence with usability and elevate every moment of classroom interaction. We are redefining education infrastructure. Whether you're architecting backend systems, designing intuitive front-end experiences, improving deployment pipelines, driving business growth and brand visibility, or scaling user impact—your work here directly shapes the future of education. If you’re excited by the idea of building smart, scalable, and meaningful solutions in education, come create with us. Learn more: http://teachmint.com About the Role: Teachmint is seeking a highly skilled AI/ML engineer with strong backend experience to join our team. You'll be responsible for designing, developing, and maintaining scalable and efficient backend AI systems. You'll work closely with cross-functional teams to integrate AI capabilities into our products and services Key Responsibilities: Expertise on Agentic AI and hands on experience with multimodal LLMs. Design and develop backend AI systems: Create scalable and efficient backend systems that integrate AI capabilities, such as machine learning models, natural language processing, and computer vision. Develop and deploy AI models: Work with data scientists to develop and deploy AI models that meet business requirements. Ensure system reliability and performance: Design and implement systems that ensure high availability, scalability, and performance. Collaborate with cross-functional teams: Work closely with frontend engineers, product managers, and other stakeholders to integrate AI capabilities into products and services. Mentor junior engineers: Share knowledge and expertise with junior engineers and help them grow in their roles. Preferred requirements: Bachelor's or Master's degree in Computer Science or related field 5+ years of experience in backend development Strong proficiency in programming languages, such as Python, Java, or C++ Experience with AI frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn Strong understanding of computer science fundamentals, including data structures, algorithms, and software design patterns Experience with cloud platforms, such as AWS, GCP, or Azure Strong problem-solving skills and attention to detail Nice to Have: Experience with containerization (Docker) and orchestration (Kubernetes). Knowledge of testing frameworks (e.g., Pytest, Unittest). Familiarity with CI/CD pipelines. Disclaimer: Kindly note that Teachmint Technologies is an equal-opportunity employer. We are committed to providing equal opportunities throughout employment including in the recruitment, training and development of employees (including promotion, transfers, assignments and beliefs). Teachmint Technologies prohibits discrimination in the workplace whether on grounds of color, disability, marital status, nationality, race, religion, sex, sexual orientation, national or ethnic origins, religious belief, disability or age.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India . Minimum qualifications: Bachelor's degree or equivalent practical experience. 1 year of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 1 year of experience managing projects and defining project scope, goals, and deliverables. Preferred qualifications: 2 years of experience in the Payments industry, working on risk or fraud management and in one or more of the following areas: statistical analysis and machine learning libraries (e.g., R, Scikit-learn,Tensorflow), programming languages (e.g., Python, C/C++), Large Language Models (LLMs) or Generative AI. Experience in innovation, technology and Google products. Ability to interact with internal and external stakeholders with attention to detail in an ever-changing environment. Ability to identify workflow pain points, optimize, automate and scale processes. Excellent communication, problem-solving and critical thinking skills. About the job Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. In this role, you will work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed, in order to ensure a safe and secure Payments ecosystem for our users. You will identify and solve problems and have technical skills to optimize our processes and tools. You will be proactive, motivated, organized, reliable, and able to work well in a fast-paced, global, cross-functional, and team-oriented environment to get things done. You will promote users trust in Google and ensure the highest levels of user safety. At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages. Responsibilities Investigate fraud and abuse incidents, identify patterns and trends in order to generate risk management solutions. Promote user trust and safety by managing and mitigating payment fraud, scams and abuse on Google products and services. Perform statistical analysis using payments and risk data warehouse, collaborate with engineering and product teams to create and enhance tools, develop signals, improve system functionality, accuracy and efficiency. Facilitate and manage operations programs, working closely with Google engineers, product managers and vendor operations to develop and track project schedules and timelines. Use technical experience to drive and implement automation opportunities. Perform end-to-end assessment of the associated risk and vulnerability of products and features. Respond to escalations from internal and external parties within designated service levels. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Job Title: AI/ML Engineer – Generative AI Specialist Experience: 7-9 Years Location: Chennai/On-site Job Type: Full-Time About the Role: We are looking for a highly motivated AI/ML Engineer with 3–5 years of experience to join our growing team. This role focuses on building and optimizing solutions using Generative AI . You’ll work at the intersection of AI research and real-world application development, helping us deliver next-generation intelligent systems for enterprise use cases. Responsibilities: • Design, build ML models with a focus on LLMs and Generative AI. • Conduct research that contributes to the state-of-the-art in LLM architectures. • Expertise in full and parameter-efficient fine-tuning (LoRA, QLoRA, Adapter, Prefix Tuning), instruction tuning, RLHF, and multi-task learning. • Proficient in model compression (AWQ, GPTQ, GPTQ-for-LLaMA) and optimized inference engines (vLLM, DeepSpeed, FP6-LLM). • Develop and maintain scalable APIs to serve model outputs in production environments. • Collaborate with cross-functional teams (product, data and engineering) to identify AI opportunities and deliver solutions. • Implement Retrieval-Augmented Generation (RAG) pipelines and integrate vector databases (e.g., FAISS, Pinecone). • Database Knowledge: Experience with PostgreSQL. • Research and apply the latest techniques in prompt engineering, model compression, and optimization. • Monitor, evaluate, and continuously improve model performance and reliability. Required Skills & Experience: • Bachelor's or Master’s degree in Computer Science, Data Science, AI, or a related field. • 7-9 years of hands-on experience in AI/ML development and Expertise in Agentic approach. • Strong programming skills in Python and experience with ML frameworks such as Proficiency in TensorFlow, PyTorch, Keras • Experience in distributed training, NVIDIA AI platforms, and cloud/on-premise infrastructure. • Familiarity with integrating MCP-based architectures into broader system workflows, ensuring semantic consistency and interoperability. • Experience with performance tuning, caching strategies, and cost optimization, particularly in the context of production-grade LLM deployments. • Experience with LLMs, including fine-tuning, prompt engineering, and using frameworks like Hugging Face Transformers. • Familiarity with GenAI techniques and tools such as LangChain, LangGraph, LLMOps, LoRA, and PEFT. • Experience deploying models using FastAPI, Flask, Docker, or on cloud platforms (AWS/GCP/Azure). • Understanding of NLP concepts, deep learning architectures, and transformer models. Preferred Qualifications: • B Tech or MTech in AI -Data Science - Gen AI -Computer Science, Data Science with Real Gen AI Project/Product Development Experience/Fine Tuned LLM Experience is added advantage • Knowledge of AI guardrails, compliance frameworks (e.g., Microsoft AI Guidance), and responsible AI practices. • Previous work on chatbots, copilots, or AI assistants. • Publications, contributions to open-source projects, or participation in AI competitions.

JOB SUMMARY We are looking for a passionate and skilled PYTHON DEVELOPER with experience in AI/ML to join our growing engineering team. The candidate is required to look on building intelligent solutions, developing data pipelines and deploying machine learning models that power real-world applications. KEY RESPONSIBILITIES ◾Design, develop, and optimize Python-based backend systems and ML workflows. ◾Build and train machine learning models using libraries like Scikit-learn, TensorFlow, or PyTorch. ◾Work on data ingestion, cleaning, preprocessing, and model evaluation. ◾Implement RESTful APIs to serve AI/ML model outputs. ◾Collaborate with data scientists, frontend developers, and DevOps for model deployment. ◾Write clean, efficient, and scalable code with proper documentation. ◾Continuously improve system performance and accuracy via retraining, tuning, and feedback loops. REQUIRED SKILLS & QUALIFICATIONS ◾Bachelor’s or master’s in computer science, Engineering, or related field. ◾1-2 years of hands-on experience in Python development.Solid understanding of machine learning algorithms and data structures. ◾Experience with ML libraries like: ◾Knowledge of model deployment (Flask/Fast API, Docker preferred). ◾Experience working with version control (Git) and cloud services (AWS/GCP/Azure) is a plus. ◾Strong problem-solving and communication skills. ADDITIONAL PREFERRED SKILLS ✔ Experience with ML Ops or AutoML pipelines. ✔ Familiarity with NLP, computer vision, or time-series forecasting. ✔ Knowledge of SQL/NoSQL databases and data warehousing tools. ✔ Exposure to data visualization tools (e.g., Matplotlib, Seaborn, Plotly). Job Type: Full-time Pay: ₹25,000.00 - ₹35,000.00 per month Benefits: Flexible schedule Schedule: Day shift Fixed shift Monday to Friday Application Question(s): Immediate Joiner Work Location: In person

Job Description Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Google cloud build, cloud run, Vertex AI, Airflow, TensorFlow, etc., Experience in Train, Build and Deploy ML, DL Models Experience in HuggingFace, Chainlit, React Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end. Ability to adapt quickly with opensource products & tools to integrate with ML Platforms Building and deploying Models (Scikit learn, TensorFlow PyTorch, etc.) Developing and deploying On-Prem & Cloud environments Kubernetes, Tekton, OpenShift, Terraform, Vertex AI Experience in LLM models like PaLM, GPT4, Mistral (open-source models), Work through the complete lifecycle of Gen AI model development, from training and testing to deployment and performance monitoring. Developing and maintaining AI pipelines with multimodalities like text, image, audio etc. Have implemented in real-world Chat bots or conversational agents at scale handling different data sources. Experience in developing Image generation/translation tools using any of the latent diffusion models like stable diffusion, Instruct pix2pix. Expertise in handling large scale structured and unstructured data. Efficiently handled large-scale generative AI datasets and outputs. Familiarity in the use of Docker tools, pipenv/conda/poetry env Comfort level in following Python project management best practices (use of cxzsetup.py, logging, pytests, relative module imports,sphinx docs,etc.,) Familiarity in use of Github (clone, fetch, pull/push, raising issues and PR, etc.,) High familiarity in the use of DL theory/practices in NLP applications Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,) Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI, Good working knowledge on other open source packages to benchmark and derive summary Experience in using GPU/CPU of cloud and on-prem infrastructures Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs. Use of Dockers (experience in experimental docker features, docker-compose, etc.,) Familiarity with orchestration tools such as airflow, Kubeflow Experience in CI/CD, infrastructure as code tools like terraform etc. Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc., Ability to develop APIs with compliance, ethical, secure and safe AI tools. Good UI skills to visualize and build better applications using Gradio, Dash, Streamlit, React, Django, etc., Deeper understanding of javascript, css, angular, html, etc., is a plus. Responsibilities Design NLP/LLM/GenAI applications/products by following robust coding practices, Explore SoTA models/techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions, Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,) Converge multibots into super apps using LLMs with multimodalities Develop agentic workflow using Autogen, Agentbuilder, langgraph Build modular AI/ML products that could be consumed at scale. Qualifications Bachelor’s or Master’s Degree in Computer Science, Engineering, Have undergone any modern NLP/LLM courses or participation in open competitions are added advantage.

About TransFi: TransFi’s purpose is to power the world’s payments, helping businesses and individuals access better ways to move money. Combining industry-leading coverage of currencies and payment methods, we deliver compliant payouts, collections, and ramp services across Asia, Europe, LatAm, Africa, and North America. In our pursuit to advance economic prosperity through borderless finance, TransFi’s enterprise-grade, developer-friendly platform is quietly transforming global payments—making international money movement faster, less expensive, and more reliable than ever. Trans-Fi is remote first; we believe the best talent comes from all over the world. Our team is distributed over multiple countries and continents. We are building for the long term and look for strong owners, builders and big thinkers. Join us if you want to build the future of global finance. Key Responsibilities Design and develop Agentic AI solutions with advanced NLP capabilities. Lead end-to-end lifecycle of AI projects – from data exploration, model development, validation, deployment, to monitoring and maintenance . Define and implement AI strategies aligned with product roadmaps and organizational goals. Integrate AI features into product offerings in collaboration with Product and Engineering teams. Build and optimize Retrieval-Augmented Generation (RAG) pipelines, leverage LLMs (e.g., GPT, Claude, PaLM), and explore emerging AI/ML techniques. Ensure scalable deployment of models with a focus on performance, reliability, and continuous monitoring . Stay current with latest AI research and incorporate relevant findings into production-grade systems. Contribute to architecture design and technical decision-making around AI integration. Required Skills & Experience Proven expertise in Agentic AI , Natural Language Processing , and LLM-based systems . Strong hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, etc. Experience building Retrieval-Augmented Generation (RAG) systems and working with vector databases (e.g., FAISS, Pinecone, Weaviate). Proficient in model deployment , optimization, and real-time inference. Familiarity with ML Ops tools and best practices for model lifecycle management. Strong problem-solving and critical thinking skills with the ability to work independently. Solid programming skills in Python (plus optional: Go, TypeScript, or others). Excellent communication and collaboration skills. Why Join Us Work on cutting-edge AI systems with real-world impact Flexible remote-first culture Competitive compensation & equity options High ownership and autonomy in a fast-paced environment

🏢 About Us We build cutting-edge, next-generation AI products designed to simplify and enhance everyday experiences. Our mission is to apply the latest in computer vision and deep learning to create seamless, intelligent tools that deliver real-world impact at scale. 🧠 Role Description We’re developing a powerful document scanning app and are looking for a talented Senior Computer Vision/OpenCV Engineer to help us build AI-driven document enhancement filters, similar to CamScanner’s Magic Pro Filter etc. This is an exciting opportunity for someone passionate about transforming traditional visual processing into lightweight, production-ready AI systems - especially for mobile platforms like Android/iOS. 🎯 Responsibilities As part of this role, you will: Remove document shadows Enhance brightness & contrast Preserve original colors where needed Output clean, high-quality black & white scans Build and optimize a TFLite model with inference time under 1.5 seconds Write efficient pre- and post-processing logic using OpenCV and lightweight ML Build more Ai models around document scanning enhancement usecases Deliver well-documented, clean code ready for mobile deployment Work closely with our Android team to support seamless integration ✅ Requirements 3+ years experience in Computer Vision, Image Processing, and OpenCV Solid background in building and deploying TensorFlow Lite (TFLite) models for Android Strong understanding of model optimization and mobile inference speed Ability to deliver visually sharp, fast, and robust filters Experience replicating or improving filters from apps like CamScanner is a strong plus 🌟 Nice to Have Android app integration experience (Java/Kotlin + native CV/ML) Experience with hybrid CV + CNN filter design Knowledge of GANs or advanced enhancement models Familiarity with OCR-related preprocessing pipelines 🔍 What We’re Looking For We’re aiming to develop the visual quality and real-time performance of CamScanner Magic Pro Filter - delivering clean, vibrant, and professional document scans. 🚀 Why Join Us? Be part of a fast-moving AI product team Solve real-world visual problems used by 300K+ users Work on cutting-edge vision pipelines and deploy at scale Flexible, remote-first collaboration 📩 Interested? If this sounds like a great fit, we’d love to connect! Please share your portfolio, GitHub, or any relevant past work you’ve done in this space.

Join a fast-paced, innovation-driven environment where you'll build intelligent software systems and receive direct AI/ML training . This is a unique opportunity for B.Tech graduates who are passionate about programming and eager to work on real-world AI solutions under world-class mentorship. Key Responsibilities Design and develop scalable Python-based applications Work closely with the AI team to build and integrate ML models Write clean, efficient, and maintainable code Participate in architecture and design discussions Debug, optimize, and improve existing systems Continuously learn and implement best practices in software engineering Required Qualifications B.Tech in Computer Science, IT, or related fields (Mandatory) Proficient in Python and strong understanding of OOP, data structures, and algorithms Familiarity with databases, REST APIs, and version control systems (e.g., Git) Bonus: Knowledge of AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn Eagerness to learn and grow in the AI domain Must be willing to work full-time on-site in Ahmedabad Why Join Us? Founded by a Google PhD (California) In-house AI/ML training and mentorship Work on live AI projects High learning curve and career growth Smart, ambitious team with a strong technical focus Job Details Job Type: Full-Time Location: Ahmedabad, Gujarat (On-Site Only) Experience Level: 0–4 years Education: B.Tech (Mandatory) Salary: Competitive, based on experience and skills Job Type: Full-time Pay: ₹200,000.00 - ₹500,000.00 per year Benefits: Flexible schedule Health insurance Location Type: In-person Schedule: Day shift Application Question(s): B.Tech Education: Bachelor's (Required) Experience: Python: 5 years (Required) total work: 6 years (Preferred) Location: Ahmedabad, Gujarat (Preferred) Work Location: In person

This role is for one of Weekday's clients Min Experience: 0 years Location: Bengaluru JobType: full-time Requirements About the Role: We are seeking a motivated and passionate Machine Learning Engineer to join our growing AI/ML team. This is an excellent opportunity for recent graduates or early-career professionals to work on real-world applications of Machine Learning (ML) , Artificial Intelligence (AI) , and Natural Language Processing (NLP) technologies. You'll be part of a team that builds intelligent systems to solve complex problems and deliver value to our customers across domains. If you're a self-starter who's eager to apply theoretical knowledge into practice, experiment with state-of-the-art tools like TensorFlow , and work collaboratively on challenging problems in NLP and AI, this role is for you. Key Responsibilities: Assist in the development, training, and evaluation of machine learning models using Python and libraries such as TensorFlow and Scikit-learn. Support data collection, preprocessing, and transformation tasks to build robust ML pipelines. Collaborate with data scientists, software engineers, and product teams to understand problem requirements and deliver ML-based solutions. Work on natural language processing tasks such as text classification, sentiment analysis, named entity recognition, and language modeling. Implement ML models into production environments and monitor model performance. Conduct research and stay updated with the latest developments in AI/ML and NLP. Optimize and tune models for accuracy, speed, and scalability. Prepare documentation, reports, and presentations to communicate results and findings to stakeholders. Required Skills: Basic understanding of machine learning concepts such as supervised/unsupervised learning, classification, regression, and clustering. Familiarity with Python programming and common ML libraries like TensorFlow, Keras, Scikit-learn, and Pandas. Exposure to natural language processing (NLP) tasks and basic algorithms. Understanding of data preprocessing, feature engineering, and model evaluation techniques. Enthusiasm to learn and work with deep learning models and frameworks. Strong analytical thinking and problem-solving skills. Good communication skills and the ability to work in a collaborative environment. Nice to Have: Internship or project experience in ML, AI, or NLP. Knowledge of neural networks, RNNs, CNNs, or transformer models like BERT or GPT. Experience working with large datasets or on cloud platforms such as AWS, GCP, or Azure. Understanding of version control (Git) and deployment tools (Docker, MLflow, etc.). Participation in ML competitions (e.g., Kaggle) or open-source contributions. Educational Qualification: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field.