1800 Computer Vision Jobs - Page 22

Responsibilities: * Develop ML models using Python, TensorFlow & PyTorch. * Implement NLP techniques with focus on natural language understanding. * Collaborate with cross-functional teams on CV projects.

Skills: 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge Skills : - LLM/ML ,application development, Data Handling,Data processing,Data engineering,Dataset creation, LLM performance metrics, fine-tuning, prompt engineering, Image/Video Processing, Generative AI, OpenAI, Claude, Prompt Engineering, autogen, agentic framework

Requesting only candidates with relevant experience to apply for the position. We are looking for candidates who can join us immediately or 30 days of official Notice Period Role & responsibilities: You would be required to Identify, develop and implement the appropriate statistical techniques, algorithms and Deep learning / ML Models to create new, scalable solutions that address business challenges across industry domains. Define, develop, maintain and evolve data models, tools and capabilities. Communicate your findings to the appropriate teams through visualizations Collaborate and communicate findings to diverse stakeholders Provide solutions for but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering , Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization, Gen AI and LLMs. Follow/maintain an agile methodology for delivering on project milestones. Preferred candidate profile Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree. 6 plus years total experience with minimum of 5 years of experience in a related position, as a data scientist building Predictive analytics, Computer Vision, and NLP solutions for various types of business problems. Advanced knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Keras, Pytorch Programming background and expertise in building models using at least one of the following languages: Python, R , C, C++

Skills Required: Proficiency in Python, SQL, Natural Language Processing (NLP), and strong data management skills, Artificial Intelligence Machine Learning, integrate AI/ML models into existing systems, delivering AI/ML projects from inception to deployment. Responsibilities: -Develop and implement AI/ML solutions to address business challenges -Collaborate with cross-functional teams to integrate AI/ML models into existing systems -Conduct research and stay updated with the latest advancements in AI/ML technologies -Proven track record of delivering AI/ML projects from inception to deployment -Strong problem-solving skills and ability to work independently and in teams. Minimum 5 years of hands-on experience in Artificial Intelligence/Machine Learning .

Good Programming Knowledge - Python, C++ Python Libraries -Numpy, Pandas DL framework - Pytorch, Keras Tensorflow, Scikit Learn AI Concepts - Strong fundamentals & working experience in o Machine Learning (ML) o Deep Learning (DL) o Model Tuning, Optimization & Verification o Transfer Learning Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, backpropagation, and optimizers. Tools Git Docker Collaboration tools (Ex. Confluence, Jira) Build Audio ML/DL models for given requirement Build models from scratch wherever required Must be able to code relevant research papers independently Tune to improve accuracy and latency Support to satisfy the deployment requirements of the product Apply transfer learning wherever required Must have skills Audio AI Modelling and tuning experience Audio AI concepts, ML/DL working experience in Pytorch/Tensorflow framework. Variations of CNN, Auto Encoders Proficiency in machine learning/audio preprocessing libraries/frameworks such as Librosa, Kaldi, sklearn, python speech features. Signal Processing fundamentals Experience in Acoustic models for speech recognition systems. Good to have Audio AI Audio related certification Tools for creating Synthetic data Experience working in Edge devices

Skills: 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge Skills : - LLM/ML ,application development, Data Handling,Data processing,Data engineering,Dataset creation, LLM performance metrics, fine-tuning, prompt engineering, Image/Video Processing, Generative AI, OpenAI, Claude, Prompt Engineering, autogen, agentic framework

Role & responsibilities Experience: 8 - 14 years Primary Skills: Data Science Secondary Skills: Data Engineering/Data Analytics Overview: The role requires a skilled and versatile Data Scientist with strong experience in Natural Language Processing (NLP), Time Series Forecasting, and a working knowledge of Computer Vision (CV) techniques. The candidate will be working on cutting-edge AI applications with tangible business impact and collaborate with a diverse team of engineers, analysts, and domain experts and help us build holistic, multi-modal solutions. Required Skills: Minimum 5 years in a Data Science or ML role with direct experience in NLP and forecasting. Proficient in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA. Strong understanding of model development lifecycle: from data ingestion to deployment. Hands-on experience with SQL and data visualization (e.g., Seaborn, Matplotlib, Tableau). Experience handling retail-specific data (ideally Apparel/Footwear) with seasonality, inventory, and sales nuances. Familiarity with cloud platforms like AWS, GCP, or Azure for scalable model training and deployment. Good to have: Experience or interest in Computer Vision: object detection, OCR, or visual product search. Familiarity with OpenCV, YOLO, CNNs, or OCR tools like Tesseract, EasyOCR. Exposure to multi-modal ML systems (combining text, image, and tabular data). Knowledge of API development (FastAPI, Flask) to expose ML models for product use. Understanding of MLOps practices (e.g., CI/CD for ML, model monitoring). Previous experience in fine-tuning LLMs or applying transfer learning in domain-specific NLP tasks.

Role: In this role, you'll be programming in Python to create the core software that powers advanced computer vision and modeling applications. These tools use complex math to interpret and generate visual data, like images or 3D models You'll get to work with the latest research in fields like artificial intelligence, computer vision (helping users see” and understand images), and computer graphics (generating images or animations). The ideal candidate will have a proven track record of success in machine learning projects, a strong technical background, and excellent communication skills. We are agnostic to your choice of development environment; however, we need a convincing demonstration that you will be able to self-support in the environment of your preference. Responsibilities include, but not limited to: Implement, in Python, core deep-learning/computer vision and (inverse-) procedural modeling algorithms, with varying levels of oversight. These algorithms rely on mathematical techniques from linear, algebra, probability, and geometry. Apply cutting-edge research in machine learning, computer vision, and computer graphics. Work closely with leadership to understand high-level product vision and customer requirements. Utilize Git for effective source code management. Deploy and test your code on large scale geospatial datasets (and ultimately generate 3D content that will be available to users) This requires you to interact with remote machines via a Unix shell. Qualifications: degree in Computer Science, Engineering, Mathematics, or a related field 3+ years of relevant industry experience in a fast paced, high growth tech environment. Proficiency in Python Experience training artificial neural networks or adjacent experience (e.g. gradient descent / nonlinear optimization / classical machine-learning) Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm and willingness to learn new methods, tools, practices and skills Strong communication skills with the ability to translate complex technical concepts into clear, accessible language for non-technical stakeholders. Hands-on experience with Tensor Flow and Keras (or similar frameworks) in developing, training, and deploying deep learning models. Desired Characteristics: Familiarity with modern C++ will allow you to better interface with other portions of our data ingestion and product pipeline. Experience with Git is preferred. A mathematical background covering linear algebra, probability, multivariate calculus, geometry, and numerical methods. Our development and production environments are Linux and macOS based. Confidence in a Unix shell environment (e.g. bash) is essential for working in our setup. Problem-solving skills, attention to detail, and the ability to thrive in a fast-paced environment.

Job Title: AI Prompt Engineer Internship Company: Pranathi Software Services Pvt Ltd Location: Hyderabad, Telangana Employment Type: Internship (Full-time / Part-time) Duration: 3 Months Start Date: Immediate / As per availability About the Role: We are looking for enthusiastic and detail-oriented AI Prompt Engineering Interns with a strong foundation in AI concepts and excellent English communication skills. As an intern, you will work closely with our AI and product teams to develop, test, and refine prompts that optimize the performance of large language models (LLMs) like ChatGPT, GPT-4, and similar tools. This internship offers hands-on experience in one of the most in-demand AI roles in the industry. Requirements: Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, English, or related fields. Basic understanding of AI/ML concepts, large language models (LLMs), and natural language processing (NLP). Excellent command of written and spoken English. Strong analytical thinking, creativity, and attention to detail. Ability to work independently as well as part of a collaborative team. Interested can share your resume at giribabu@pranathiss.com

As an Applied AI ML Lead within our Applied AI organization, you will ensure the smooth operation and optimization of our LLM-aided AI products. Collaborate with cross-functional teams to foster innovation and deliver scalable solutions. Job Responsibilities Combine vast data assets with cutting-edge AI, including LLMs and Multimodal LLMs. Bridge scientific research and software engineering, requiring expertise in both domains. Collaborate closely with cloud and SRE teams while leading the design and delivery of production architectures. Required Qualifications, Capabilities, and Skills PhD in a quantitative discipline, e. g. , Computer Science, Mathematics, Statistics. Experience in an individual contributor role in ML engineering. Proven track record in building and leading teams of experienced ML engineers/scientists. Solid understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms. Hands-on experience in implementing distributed / multi-threaded / scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc. ). Ability to understand and align with business expectations, and write clear and concise OKRs (Objectives and Key Results). Experience as a "Responsible Owner" for ML services in enterprise environments. Preferred Qualifications, Capabilities, and Skills Experience in designing and implementing pipelines using DAGs (e. g. , Kubeflow, DVC, Ray). Ability to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints. Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models. Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.

Position: Senior AI/ML Engineer GCP Location: Hyderabad/Bangalore/Pune Work Mode: Hybrid About the Company: Relanto is a global advisory, consulting, and technology services partner, empowering customers to accelerate innovation by harnessing the power of Data and AI, Automation, NextGen Planning, and Cloud Solutions. Overview: We're seeking an experienced individual (5-10 years) specializing in AI/ML to build and deploy cloud-based machine learning solutions. You'll work with Google Cloud Platform services to create scalable AI systems and APIs that integrate with various ML models. What You'll Do: Design and implement end-to-end ML pipelines in GCP Build and optimize AI models for production deployment using Vertex AI Develop RESTful APIs for ML model serving Implement vector search capabilities using BigQuery ML Create automated testing and deployment pipelines for ML models Set up model monitoring and performance tracking Optimize model inference and serving capabilities Must Have Skills: Strong Python programming with ML frameworks (PyTorch, TensorFlow) Experience with large language models and prompt engineering Proficiency in GCP AI services (Vertex AI, Cloud ML Engine) Vector search implementation (BigQuery ML, Matching Engine) RESTful API development with FastAPI/Flask Container orchestration with Docker and Google Kubernetes Engine (GKE) CI/CD pipeline experience for ML workflows Why Join Us: Competitive salary and benefits. Opportunities for professional growth and development. Collaborative and inclusive work culture. Flexible working arrangements for work-life balance. Exposure to innovative data analytics and visualization projects.

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

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: CPU architecture team is driving the core math libraries needed for ML/AI acceleration. This position/s will expose you to Qualcomm’s cutting edge SoC and ML/AI platforms in the industry. Participate in Optimizing the core ML kernels using the latest advancements like SME, SVE of the ARM CPU architecture and enhance the performance of the ML models on the CPU of the QCOM Soc Required Skills== 3+ experince with Understanding of ARM CPU architecture fundamentals and ARM Arch64 ISA Optimizing kernels for vector Processors Understanding of the basic linear algebra functions used in AI/ML Algorithm design (logic, critical thinking) Performance Evaluation and Optimization of the applications for ARM architecture Inferencing of the ML models written in Pytorch/TensorFlow/Keras Understanding of the typical Open-Source Library framework design Preferred Skills=== Strong Programming skills and deep understanding of the ARM ISA understanding of the algorithms suitable for Vector and matrix accelerators Strong Analytical and debugging skills Good understanding of Optimizing the Linear Algebra algorithms Performance evaluation using QEMU, Simulators, Emulators and on Real Hardware Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm 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. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. General Summary As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. In this position you will be responsible for assisting with the software design and development of the Qualcomm AI Stack, SDKs and associated tools, targeting Snapdragon platforms. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills. Responsibilities Software development of the AI orchestration framework, engine, and tools to develop agentic workflows and execution of the latest Neural Networks on Snapdragon chips. Validate the performance and accuracy of your software through detailed analysis and test of the use cases. Minimum Qualifications 7+ years software development experience using C/C++ and/or Python Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.) Experience in developing applications using Inter-Process Communication (IPC), like AIDL or SOME/IP. Strong communication skills (verbal, presentation, written) Preferred Qualifications Experience in developing embedded applications with low level interactions between operating systems (e.g., Linux, Android, Windows, QNX) and Hardware. Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT) Experience with LLM, LVM, LMM models, and other NN architectures. Experience with Machine Learning frameworks (e.g., Tensor Flow, Pytorch, Keras). Software development experience with Java Ability to collaborate across a globally diverse team and multiple interests Education RequiredBachelor's degree in Engineering, Information Systems, Computer Science, or related field. PreferredBachelor's Computer Science, Computer Engineering, or Electrical Engineering

Join our Trustworthy Shopping Experience Operations Tech (TSE Ops Tech) team in building next generations of global compliance product through the integration of software engineering fundamentals and latest generative AI technologies. You will work with an international team of product managers and stakeholders, tackling complex software architecture design challenges and building highly scalable AI-first to create safer, more intelligent marketplace experiences for both sellers and customers. Key Focus Areas: Developing AI-powered systems for automated product safety assessment and compliance verification Building intelligent catalog management solutions using natural language processing and computer vision Creating generative AI tools to enhance seller safety and compliance processes Designing scalable architectures that combine traditional services with AI/ML capabilities The Ideal Candidate Will Have: Strong software engineering fundamentals and experience with distributed systems Knowledge of machine learning frameworks and generative AI technologies (e.g., transformers, LLMs) Experience with AI model deployment, optimization, and monitoring in production environments Ability to tackle complex problems through data-driven experimentation What We Offer: Opportunity to work with state-of-the-art AI technologies and shape their application in e-commerce Exposure to global markets and diverse technical challenges Full-stack development experience across AI and traditional systems Collaboration with international teams of applied scientists, engineers, and product managers Innovation-focused environment with emphasis on continuous learning and experimentation Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software About the team Trustworthy Shopping Experience (TSE) org is part of SPS and strives to guarantee customers a trustworthy shopping and ordering experience so they can shop with confidence on Amazon. TSE Ops org caters to the operational needs of TSE. TSE Ops Tech team is part of the TSE Ops. Within TSE Ops it focuses on the needs of the Regulatory Intelligence, Safety and Compliance (RISC) programs. COMS Team owns Medux, Human In The Loop (HITL) system that facilitates Operations teams with automated work allocation, skill management and dynamic work execution interfaces to facilitate manual action catering to multiple compliance requirements. 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience Experience programming with at least one software programming language 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent

We are looking for a talented and driven Generative AI Engineer with 3 years of experience to join our AI team. You will work on designing, developing, and optimizing cutting-edge generative models for a variety of applications, including text, images, and audio Proficiency in Python and relevant ML/AI libraries (TensorFlow, PyTorch, Hugging Face, etc.),GANs, VAEs, Transformers, and Diffusion Models,NLP,computer vision, or audio synthesis,AWS, GCP, Azure,MLOps Develop and optimize generative models (e.g., GANs, VAEs, Diffusion Models, Transformer Models) for various use cases. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Python Programming: Proficiency in Python, Working with libraries like TensorFlow, PyTorch,Transformers,NLTK,Pandas,sklearn, and other related libraries used in NLP tasks and fine tuning language models. Experience with building comprehensive python modules for NLP tasks like tokenization, word embeddings,classifications. Evaluating and selecting the open source and/or commercial LLMs suitable for financial lending domains Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

As a Research Analyst, youll collaborate with experts to develop cutting-edge ML solutions for business needs. Youll drive product pilots, demonstrating innovative thinking and customer focus. Youll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. Youll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements Dive deep to drive product pilots, demonstrate think big and customer obsession LPs to steer the product roadmap Build scalable solutions in partnership with Applied Scientists by developing technical intuition to write high quality code and develop state of the art ML models utilizing most recent research breakthroughs in academia and industry Coordinate design efforts between Sciences and Software teams to deliver optimized solutions Ability to thrive in an ambiguous, uncertain and fast moving ML usecase developments. Familiar with ML models and work independent. About the team Retail Business Services Technology (RBS Tech) team develops the systems and science to accelerate Amazon s flywheel. The team drives three core themes: 1) Find and Fix all customer and selling partner experience (CX and SPX) defects using technology, 2) Generate comprehensive insights for brand growth opportunities, and 3) Completely automate Stores tasks. We work to solve problems related to entity extraction for Catalog completeness and consistency, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision. RBS Sciences team has grown to 11+ Applied Scientists and created multi-million dollar impact by developing foundational models for these business problems. Team has also contributed significantly in innovation space by publishing research papers (both internal Amazon and external conferences) and Patents over last 3 years. Basic Qualifications Bachelors degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) 1+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Strong analytical thinking Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. Preferred Qualifications Masters degree with specialization in ML, NLP or Computer Vision preferred 1+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) Diverse experience will be favored eg. a mix of experience across different roles In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service Technical expertise, experience in Data science, ML and Statistics

We are looking for a Machine Learning Engineer to help us create advance image processing and artificial intelligence products. Design, Develop , Research and implement appropriate ML algorithms and tools, Run tests

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

The future of open source AI starts with you. At Red Hat, were looking for engineers who want to become an integral part of democratizing Al technology, making open source AI available and accessible to all. Al Engineering is a newly formed team where you'll have the scope and impact to make your mark and get your ideas into people's hands. Red Hat's open culture fosters collaboration and allows the best ideas to grow. You will have the opportunity to actively participate in communities like KServe, Kubeflow, and VLLM, and be part of a team that values and expects contributions from all levels. Here, you'll have freedom to innovate, and to focus on challenging, high-impact work that makes a difference. Were looking for experienced Senior and Principal Machine Learning Engineers across two teams InstructLab and OpenShift AI. In this role, you will build, optimize, and scale machine learning models while contributing to innovative AI-driven solutions, and assisting users in understanding ML predictions. During the hiring process, we'll work with you to determine the best team placement based on your background and interests. While the core job requirements remain consistent, your day-to-day responsibilities will align with your chosen team's objectives. Successful applicants must reside in a country where Red Hat is registered to do business. What you will do Specific responsibilities will vary based on team placement, but may include: Design and implement machine learning systems Develop and optimize ML models for production use Create and maintain ML infrastructure and pipelines Ensure ML systems are scalable and maintainable Collaborate with data scientists to productionize models Collaborate closely with researchers, software developers, and upstream AI/ML communities Mentor and guide other team members What you will bring Experience in AI development, deep learning, machine learning libraries (e.g. pytorch, scikit-learn), prompt engineering, and/or fundamental mathematics Experience in feature engineering Experience in Go or Python development Experience in Kubernetes, OpenShift, Docker, or other cloud-native technologies Experience in agile development, Jira, and Git Ability to quickly learn and use new tools and technologies Excellent written and verbal communication skills The following skills are valued and may influence team placement: Masters or PhD in Machine Learning (ML) or Natural Language Processing (NLP) Active participation in KServe, TrustyAI, Kubeflow, or other open source communities Specialized expertise in specific AI domains (NLP, Computer Vision, MLOps, etc.) #AI-HIRING About Red Hat Red Hat is the worlds leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hats culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com . General inquiries, such as those regarding the status of a job application, will not receive a reply.

The IT Technical Engineer Act as a technical software expert, accountable for software development including the research, design, programming, and testing of operating or new software. Supporting business and IT to adapt digital technologies faster and to improve application or solution performance. Skills Required: Typically 1-2 years of professional experience. . Programming Languages Python Widely used for machine learning, automation, and data analysis tasks. R Popular for data analysis and statistics, commonly used in machine learning. 2. Machine Learning Concepts Supervised, Unsupervised, and Reinforcement Learning Understanding these core techniques is essential. Model Evaluation Metrics Knowledge of metrics like accuracy, precision, recall, F1-score, ROC-AUC, etc. Model Overfitting and Underfitting Understanding how to test for and mitigate these issues. Feature Engineering Knowledge of how to create meaningful features for ML models. 3. Testing Knowledge Test Automation Proficiency in creating test scripts for AI/ML models to validate the functionality, performance, and accuracy of models. Unit Testing Writing unit tests for machine learning pipelines and algorithms. Integration Testing Ensuring the integration of different components like data processing pipelines, model training, and prediction services work as expected. Regression Testing Ensuring that new code does not break existing functionality. Performance Testing Validating the efficiency of models and ensuring that they perform well in real-world environments. Responsibilities : Design, implement, and execute test cases for AI/ML models. Conduct performance, stress, and regression testing for models. Ensure data quality and validation for training and testing datasets. Test model robustness to ensure reliability in various edge cases. Collaborate with Data Scientists and AI Engineers to ensure the quality of model outputs. Implement automated testing frameworks specific to AI/ML applications. Conduct ongoing monitoring and reporting of model performance post-deployment. Validate the fairness and compliance of models with ethical and regulatory standards.

BTech/BE/MSc in Data Science/AI/Computer Science/IT 60% above in academics (10th, 12th, UG PG - No backlogs in any semester) Excellent English communication Good Presentation Skills Global internship/project experience in automotive industry is preferred for applications. Ready for 2 Year Trainee Agreement Ready for 2 Year Training agreement (Only if the training is scheduled in Germany for a designated period) Responsibility: The Trainee will support project tasks and learn various aspects of the product development process. Assist in project tasks, keeping the Team Leader / Team member / Cluster lead updated on progress and any arising issues adhering to quality. Prepare for and participate in technical reviews of assigned tasks. Enhance practical knowledge and experience in various processes and methods. Learn and understand organizational quality processes through agile methodologies. Participate in all training and skill development workshops and seminars. Understand the organizations vision, mission, and objectives. Collaborate with local and global team members on project tasks. Compile and present reports on assigned mini-project progress and outcomes. Requirements: Must have: - Good analytical skills - Strong Python and SQL programming skills - Sound knowledge of Machine learning - Continuous learning attitude - Good Communication Skills in English, Good to have: - Hands on experience on: Version control system, Docker, CI/CD pipelines, Big data analysis, Computer vision - Automotive data analysis knowhow - Front end development and dashboarding knowhow - German language skills (Not Mandatory)

We are looking for a highly skilled and experienced Generative AI Engineer to join our team at Assemblage Entertainment, with 3-8 years of experience in the field. Roles and Responsibility Design and develop generative AI models for various applications. Collaborate with cross-functional teams to integrate AI models into existing systems. Develop and implement data augmentation techniques to enhance model performance. Conduct research on new AI technologies and trends to stay updated. Optimize model performance using hyperparameter tuning and other techniques. Work closely with the development team to ensure seamless integration of AI models. Job Requirements Strong understanding of deep learning concepts, particularly in generative adversarial networks (GANs) and variational autoencoders (VAEs). Experience with programming languages such as Python, Java, or C++ is required. Familiarity with cloud platforms like AWS or Google Cloud for deploying AI models. Knowledge of agile development methodologies and version control systems like Git. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment.

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 : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a skilled Generative AI Engineer to build and deploy agentic systems leveraging LLMs and autonomous task execution. The role involves developing intelligent AI agents that perform reasoning, planning, and goal-directed behaviors. Roles & ResponsibilitiesDesign and develop intelligent AI agents using LLM frameworks such as LangChain, AutoGen, or AWS Agent Squad. Fine-tune and deploy large language models (LLMs) for task-specific applications Integrate tools, APIs, and external systems into agent workflows for enhanced functionality Implement context handling, memory modules, and retrieval-augmented generation (RAG) pipelines Develop robust backend systems for real-time agent inference and data processing Monitor, evaluate, and iteratively improve agent behavior, output quality, and latency Collaborate with cross-functional teams to translate business needs into AI capabilitiesRequired Skills and Qualifications:Proficiency in Python with experience in ML/AI libraries such as PyTorch or TensorFlow Hands-on experience with LLMs (GPT, Claude), prompt engineering, and embeddings Familiarity with vector databases (e.g., Weaviate, Pinecone) and RAG pipelines Experience in using LangChain, AutoGen, or similar agentic frameworks Exposure to Docker, REST APIs, and cloud platforms (AWS) Professional & Technical Skills: - Strong analytical and problem-solving skills- Ability to work independently in fast-paced, research-oriented environments- 4-8 years in AI/ML or software engineering, with 12 years working directly on GenAI or autonomous agents Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning.- Bachelors or masters degree in computer science, Artificial Intelligence, or a related field- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education