1134 Computer Vision Jobs - Page 20

About Soul AI:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact.. Who you are & how you can contribute?. We are seeking a Physics expert with a PhD degree. The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques. This fully remote position allows for flexible work hours while contributing to AI’s advancement.. What you will be doing?. Annotate Physics-related data to improve AI comprehension.. Provide feedback on AI-generated responses to ensure scientific accuracy.. Assist in developing problem sets and solutions for AI training.. Collaborate with AI researchers to refine AI capabilities in the field of Physics.. Must Required Traits:. Strong academic background in Physics.. Experience in Physics education, research, or content creation preferred.. Familiarity with AI, machine learning, or data annotation is a plus.. Excellent problem-solving and analytical skills.. Why join us?. Fully remote and flexible work schedule.. Opportunity to work on cutting-edge AI technology.. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions!. Show more Show less

About Soul AI:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact.. Who you are & how you can contribute?. We are seeking a Biology Expert. The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques. This fully remote position allows for flexible work hours while contributing to AI’s advancement.. What you will be doing?. Annotate Biology-related data to improve AI comprehension.. Provide feedback on AI-generated responses to ensure scientific accuracy.. Assist in developing problem sets and solutions for AI training.. Collaborate with AI researchers to refine AI capabilities in the field of Biology.. Must Required Traits:. Strong academic background in Biology.. Experience in Biology education, research, or content creation preferred.. Familiarity with AI, machine learning, or data annotation is a plus.. Excellent problem-solving and analytical skills.. Why join us?. Fully remote and flexible work schedule.. Opportunity to work on cutting-edge AI technology.. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions!. Show more Show less

Commitment: 10-20 hours/week for 1–2 months (with potential extension).. Compensation: Among the highest in the industry, aligned with experience and expertise.. Who should apply. We are not looking for general translators, freelancers, or content writers. We are looking for the top 1% of academic and cultural experts who meet all the following:. Native fluency in one or more of the following (reading and writing):. Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Tamil, Telugu, or Punjabi. Strong command of English (for prompt interpretation and evaluation). Deep academic or research expertise in History or Literature & Linguistics. PhD, MPhil, or Master’s degree is preferred, but credible, extensive experience in the field is also valued.. Passion for precision, language, and cultural nuance. Based in the respective state/region where the language is natively spoken. Comfortable using AI tools like ChatGPT, Claude, Gemini, etc.. Your Role? Challenge and Teach AI Models to Understand the Depth of Indian History and Literature in Your Language. Design advanced, historically and culturally rooted prompts in your regional language that challenge state-of-the-art AI models. Evaluate model outputs for factual accuracy, literary nuance, historical context, tone, and regional relevance. Identify blind spots and weaknesses in current AI understanding within your domain. Collaborate with an international team shaping how AI understands Indian languages, history, literature, and knowledge systems. This is not a translation or content-writing gig. We're seeking true experts to shape the next generation of language models.. Show more Show less

We aspire to be world-leader in innovative telecom and security solutions by offering cutting-edge, high-performance telecom and security solutions to business customers. Our Mission is simple. To prove that Indian engineers can design, develop, and manufacture world-class technology products for customers across the world, right from India. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! Why work at Matrix Matrix fully integrates software and hardware across its products. Engineers here collaborate more effectively to create solutions that solve real problems and make an impact. We are responsible for every nut, bolt, and line of code in our products! As an engineer, your involvement will be critical in the entire lifecycle of a product - right from ideation-development-production-deployment. Get to feel the sense of accomplishment that comes with creating something that solves a real and pressing problem and is used by scores of customers. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! Role SME- IVA Function Software Development - IVA / Computer Vision Work Location Vadodara, Gujarat Who are you You are a dynamic and solution driven Software Engineer specializing in Intelligent Video Analytics, with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products You will remain rooted as an engineer, a designer, and a technologist while leading a team.You take complete ownership of timely product delivery with impeccable software quality. You have the ability to navigate the teams through fast changing market needs. You possess strong people leadership skills in mentoring the young engineers Experience 4+ Years Qualification B.E/B.tech/M.E/ M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE)or related field Technical Skills Required : Hands on with C++, OOPS, Computer Vision, OpenCV, TensorFlow, Web Orientation, Web Development, OpenCV, Image Processing. Hands-on experience of Deep Learning/Computer Vision projects. Working exposure with Neural networks, CNN i.e. Convolutional Neural Network (Design, Training, Inference). Experience building and optimizing libraries for fast computer vision Experience curating data, creating and optimizing models, and running experiments Expert knowledge of the principles, algorithms, and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc. Experience with one or more deep learning frameworks such as Tensorflow, PyTorch or Keras Experience porting and optimizing models and algorithms for different hardware platforms Strong programming skills using Python and C++ Superhuman thirst for learning including scouting for ideas and keeping up-to-date with advancements in the field Good to have skills : Any exposure to projects like Object Detection/Motion Detection/Face Recognition is good to have. Experience working with multiple video streams for simultaneous integration into machine learning algorithms Experience optimizing deep learning models for embedded form factors What your day might look like (Role) The SME - Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. This team partners with our hardware, software, and platforms teams to help bring our products and solutions to life. An ideal candidate for this role will lead in the creation of systems, algorithms, and optimizations for all things computer vision This includes leading and mentoring a team of engineers who help with different aspects of the task. Collaborate with the team to understand project requirements and objectives. Design and implement algorithms using C/C++, OpenCV, and TensorFlow. Integrate video analytics solutions with existing systems or platforms. Participate in design reviews and brainstorming sessions with cross-functional teams. Execute AI algorithms using various platform specific frameworks like TensorRT, TensorFlow Lite etc. Formulate program specifications and basic prototypes. Efficiently Develop PoC on Algorithms Performance Centric implementation practices. Implement low cost algorithm modules as per need. Troubleshoot issues and provide technical support during integration and deployment phases. Research new technologies and methodologies to enhance video analytics capabilities. Document your work, including writing code documentation or preparing technical reports. What do we offer Opportunity to work for an Indian Tech Company creating incredible products for the world, right from India Be part of a challenging, encouraging, and rewarding environment to do the best work of your life Competitive salary and other benefits Generous leave schedule of 21 days in addition to 9 public holidays, including holiday adjustments to convert weekends into long weekends 5-day workweek with 8 flexi-days months, allowing you to take care of responsibilities at home and work Company-paid Medical Insurance for the whole family (Employee+Spouse+Kids+Parents). Company paid Accident Insurance for the Employee On-premise meals, subsidized by the company If you are an Innovative Tech-savvy individual. Look no further. Click on Apply and we will reach out to you soon!

Assist in the design, development, and deployment of AI solutionsutilizing machine learning, natural language processing (NLP), and computervision techniques. - Collaborate with cross-functional teams, including data scientists andsoftware engineers, to seamlessly integrate AI solutions into existing productsand services. - Support data collection, processing, and automation tasks to enhance andrefine AI models. - Contribute to the testing, debugging, and optimization of AI solutions toensure high-quality, reliable outcomes. - Stay abreast of the latest trends in AI and machine learning, continuouslyintegrating new advancements to improve solutions. . Requirements What Does It Take? (SkillsRequired): - Educational Background: A degree in Computer Science, AI, Machine Learning,or a related technical field. Fresh graduates are encouraged to apply. - Programming Knowledge: Basic proficiency in Python, with familiarity in AI/MLframeworks. - API Integration Skills: Knowledge of Fast API and an understanding of how tointegrate APIs with other platforms (or a willingness to learn). - API & Automation: Familiarity with Fast API architecture, databasemanagement (MySQL, Chrome DB/Pinecone), and automation tools. - Machine Learning Proficiency: Experience with data preprocessing, featureengineering, and model evaluation techniques essential for AI/ML projects. - Problem-Solving: A creative mindset focused on solving technical challenges. - Team Player: Strong communication skills with the ability to collaborateeffectively within a team. - AI & NLP Familiarity: Exposure to working with LLMs, VLMs, or relatedtechniques (such as transformers and deep learning models). - Transformers Knowledge: Basic understanding of transformer models and howthey are applied in LLMs and VLMs (e.g., BERT, GPT, CLIP). Preferred Qualifications: - Internship experience in AI, machine learning, NLP, or computer vision. - Hands-on experience with AI projects (personal or academic), especially thoseinvolving LLMs, VLMs, or transformers. - Contribution to open-source AI projects or participation in AI competitionsis a plus

Bachelor's or masters degree in computer science, AI/ML, Data Science, or related field. 5+ years of experience in AI/ML solution design and development. Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong programming skills in Python, R, or Java. Hands-on experience with cloud platforms (AWS, Azure, GCP). Solid understanding of data engineering concepts and tools (Spark, Hadoop, Kafka, etc.). Experience with MLOps practices, including CI/CD for AI models. Strong problem-solving, communication, and leadership skills. Preferred Qualifications AI/ML certifications (AWS Certified Machine Learning, Google Professional ML Engineer, etc.) Experience in natural language processing (NLP) or computer vision. Knowledge of AI governance and ethical AI practices. Familiarity with AI model explainability and bias detection.

Videonetics Technology Pvt Ltd. is looking for Computer Vision Research Engineer to join our dynamic team and embark on a rewarding career journey Conduct research and development activities in the assigned field. Design and execute experiments and analyze data. Develop prototypes and test new technologies. Prepare technical reports and documentation. Collaborate with other researchers and stakeholders on projects.

Flexible to work in shifts General knowledge about the AI models Good knowledge in integrating UiPath with external libraries Good knowledge in MS Power Platform 6 months of development exp in Power Automate (Mandatory) & Ui PathExperience with any RDBMS and good knowledge on DML and DDL commands Exp in anyone programming language(Js,C# Net, Java,VB,Python) Expertise in automating remote based ,web based and windows applications Good knowledge in computer vision and OCR Able to work independently and deploy the bot using orchestrator/Power Automate Cloud Experience in using Queues workflow Perform Proof of concept to show the efficacy of the automation solution

We are seeking seasoned Python developers to assist in a large-scale code conversion project. The project involves transforming a legacy codebase of image processing and deep learning computer vision algorithms from MATLAB to Python. The initial conversion has been performed using state-of-the-art AI capabilities (LLMs), and we now require human expertise to create a working code base. Duties and Responsibilities: Review and compare LLM converted Python code against original MATLAB code Debug syntax errors and correct logical inconsistencies in the Python code Ensure output consistency between MATLAB and Python implementations Implement proper error handling and logging mechanisms Develop comprehensive unit tests and integration tests Create clear and concise documentation for the converted code Optimize code for performance and readability wherever necessary Collaborate with team members to ensure end-to-end functionality Prepare code for containerization using Docker Adhere to best practices in software development and version control Minimum Qualifications: (To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.) Knowledge, Skills and Abilities: Strong proficiency in Python programming with 6+ years of experience Familiarity with MATLAB syntax and conventions Strong problem-solving and debugging skills Experience with version control systems (e.g., Git) Familiarity with Docker and containerization concepts Experience in code conversion projects Familiarity with scientific computing libraries (e.g., NumPy, SciPy) Knowledge of software testing frameworks (e.g., pytest) Experience with continuous integration and deployment (CI/CD) pipelines Understanding of software development best practices and design patterns Implement proper logging mechanisms for easier debugging and monitoring Create comprehensive unit tests and integration tests to ensure code reliability Develop clear and concise documentation, including inline comments and README files Optimize code for performance, considering Python-specific best practices Ensure code adheres to PEP 8 style guidelines Implement type hinting for improved code readability and maintainability Create requirements.txt files for each repository to manage dependencies Participate in code reviews to maintain high code quality standards Provide regular progress reports and participate in team meetings Optional requirements: Experience with image processing and computer vision libraries (e.g., OpenCV, scikit-image) Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) Understanding of mathematical concepts related to image processing and computer vision Matlab, Python

8+ years of total experience with 5+ years of professional experience in AI, ML or a related field. Master's or PhD in Computer Science, Mathematics, AI or a related field. Good mathematical understanding of machine learning and deep learning algorithms. Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability. Experience with Natural Language Processing, Deep Learning, and Computer Vision techniques. Proficiency in programming languages such as Python or Scala, along with experience using DL frameworks like TensorFlow, PyTorch etc. Experience working with large data sets and writing efficient code capable of processing large data streams at speed. Experience in program leadership, governance, and change enablement Understand client challenges and propose solutions based on AI/GenAI capabilities. Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards. Work on functional design, process design, prototyping, testing, training, and defining support procedures, in collaboration with data engineering team and executive leadership. Train and deploy AI models to solve complex business problems or automate processes. Convert AI/ML models into APIs to be used in other applications. Manage a team in implementing AI solutions and developing products. Collaborate with external partners, such as research institutions or universities, to explore innovative AI approaches and foster collaborative research projects. Ensure compliance with data privacy regulations and ethical guidelines while working with sensitive and confidential data. Stay up to date with the latest developments in machine learning and AI. Experience working with Azure Data & AI services. Experience with MLOps tools like MLFLow, Azure MLOps or similar tools. High level of ownership and creative problem solving under resource constraints. Excellent verbal and written communication skills. Ability to interact with C-Level executives

Requirement for Data Scientist. Exp Level 7-15 Yrs. Hands on NLP, Machine learning, Python, AI, computer vision, deep learning. Work at office Chennai location Shriram Gateway. Quick Joiners Preferred. Interested suitable candidates please be in touch with roopashree.ry@sutherlandglobal.com JD We are seeking a skilled and experienced Machine Learning Engineer specialized in Natural Language Processing (NLP) and Computer Vision to join our team. The ideal candidate should have a strong foundation in ML and AI principles, coupled with a proven track record of developing and deploying a minimum of 20+ models in these domains. Responsibilities: • Develop and implement state-of-the-art machine learning algorithms and models for NLP and computer vision applications. • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. • Conduct thorough data analysis, pre-processing, and feature engineering to extract meaningful insights from structured and unstructured data. • Design and implement scalable and efficient machine learning pipelines for training, evaluation, and inference. • Experiment with various deep learning architectures, hyperparameters, and optimization techniques to improve model performance. • Stay updated with the latest advancements in ML and AI research and evaluate their potential applications in our domain. • Work closely with software engineers to integrate ML models into production systems and ensure their robustness and scalability. • Perform rigorous testing and validation of models to ensure their accuracy, reliability, and generalization capability. • Continuously monitor and maintain deployed models, and implement necessary updates and enhancements as required. • Document code, methodologies, and findings effectively, and contribute to internal knowledge sharing initiatives. • Bachelor's/Masters/Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field. • Strong theoretical understanding of machine learning algorithms, deep learning frameworks, and statistical modeling techniques. • Proficiency in programming languages such as Python, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. • Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects. • Solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc. • Familiarity with computer vision concepts such as image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow. • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. • Excellent problem-solving skills, attention to detail, and ability to work independently as well as part of a team. • Strong communication and interpersonal skills, with the ability to effectively collaborate with stakeholders across different functional areas. • Join us in revolutionizing the way [Company Name] harnesses the power of machine learning and artificial intelligence to drive innovation and create impactful solutions.

Develop and deploy advanced AI solutions using the latest Generative AI techniques including: - Retrieval-Augmented Generation (RAG) pipelines. - Designing and building Agentic AI systems to automate complex decision-making workflows. - Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain specific content

Dear Candidate, We are hiring an AI Research Engineer to develop novel algorithms and prototype cutting-edge AI models. Ideal for professionals with a strong background in deep learning and experimental development. Key Responsibilities: Research and implement new AI/ML architectures (transformers, GANs, RL, etc.) Prototype and benchmark models for performance and generalization Contribute to technical papers, open-source projects, or patents Work with compute-intensive infrastructure and large datasets Required Skills & Qualifications: Strong coding skills in Python and frameworks like PyTorch or TensorFlow Solid foundation in mathematics, deep learning, and optimization techniques Experience with distributed training and GPU acceleration Bonus: Publication record or contributions to academic/industry AI research Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

Dear Candidate, We are hiring a Data Science Engineer to build production-ready data science pipelines and models. Ideal for professionals who blend software engineering with applied ML skills. Key Responsibilities: Design and develop ML pipelines for training, evaluation, and deployment Engineer data preprocessing and feature extraction systems Integrate models into applications and monitor post-deployment performance Collaborate with data scientists, engineers, and product teams Required Skills & Qualifications: Proficiency in Python, pandas, scikit-learn, and MLflow Experience with Spark, Airflow, or cloud ML pipelines Strong grasp of statistics, data structures, and ML model optimization Bonus: Exposure to MLOps tools and model versioning frameworks Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Company: Blubridge Technologies Pvt Ltd Role: Data Scientist - R&D Vacancies: 15 Year of Passing Out: 2025, 2024, 2023 Education: Bachelors or Masters degree in Computer Science, IT, AI, Electronics & Communication, Data Science, etc. Job Location: Mandaveli, Chennai Analyze and preprocess large-scale datasets to ensure data quality and reliability. Develop and implement statistical and machine learning models, including transformer-based algorithms. Conduct exploratory data analysis to derive meaningful insights for research projects. Systematically explore and optimize hyperparameters and scaling laws to enhance model accuracy and efficiency. Collaborate with cross-functional teams to develop and refine experimental workflows. Implement comprehensive data collection strategies, scraping publicly available multi-domain sources for diverse content. Perform advanced preprocessing and deduplication, ensuring data is cleaned, normalized, and consistent. Design and manage rigorous quality assurance pipelines to validate data quality, diversity, and representativeness. Employ innovative multilingual tokenization and document packing techniques for efficient and cohesive context learning. Document methodologies, results, and contribute to research publications. Stay updated on the latest research methodologies, tools, and techniques in data science and AI. Requirements: Strong foundation in mathematics and statistics, including calculus, linear algebra, probability, and statistical inference. Excellent analytical and logical reasoning skills. Bachelors/Masters/PhD in Data Science, Statistics, Computer Science, AI, Machine Learning, or related fields. Added Advantage: Proficiency in Python and familiarity with relevant data science libraries (NumPy, Pandas, SciPy, Matplotlib, Scikit-learn). Good understanding of machine learning concepts and techniques. Demonstrated ability to work effectively within a collaborative research environment. Experience or familiarity with deep learning frameworks such as PyTorch, TensorFlow, or Hugging Face. Knowledge of distributed computing and optimization for GPU-based environments. Prior research experience or publications in data science or related fields. What We Offer: A dynamic and innovative work environment in a cutting-edge AI research team. Opportunities for professional growth, mentorship, and learning. Competitive salary and benefits. Access to high-performance computing resources for data analysis and modeling. Access to the latest tools and technologies in AI.

Company: Blubridge Technologies Pvt Ltd Role: AI Solutions Architect - R&D Vacancies: 12 Year of Passing Out: 2025, 2024, 2023 Education: Bachelors or Masters degree in Computer Science, IT, AI, Electronics & Communication, Data Science, etc. Job Location: Mandaveli, Chennai Key Responsibilities: Architect scalable transformer-based AI model infrastructures. Collaborate with researchers to translate cutting-edge research into robust, scalable architectures. Evaluate existing AI infrastructures, propose enhancements, and optimize model deployments for performance, efficiency, and scalability. Design and implement robust AI pipelines and workflows from prototyping through experimentation phases. Develop novel frameworks and algorithms tailored to specific research goals. Systematic exploration of scaling laws and hyperparameter configurations to optimize model performance and efficiency. Provide technical leadership and mentorship on AI infrastructure and architectural decisions. Stay abreast of the latest AI technologies, research developments, and emerging frameworks. Required Skills and Qualifications: Strong logical reasoning and analytical skills. Solid foundation in Mathematics including calculus, probability, statistics, and linear algebra. Proficiency or willingness to learn programming languages such as Rust and CUDA for high-performance implementations. Excellent problem-solving, analytical, and communication skills. Demonstrated ability to work in a collaborative, fast-paced research-driven environment. What We Offer: A dynamic and innovative work environment in a cutting-edge AI research team. Opportunities for professional growth, mentorship, and learning. Competitive salary and benefits. Hands-on access to state-of-the-art hardware and server systems, such as H200 and RTX6000 Ada. Access to the latest tools and technologies in AI.

Role Overview We are seeking a highly skilled AI Engineer with 8-12 years of experience to lead the development of Generative AI (GenAI) and Machine learning solutions for internal projects. This role requires a self-driven leader with exceptional communication, strategic thinking, and expertise in data analytics and visualization to deliver innovative GenAI tools tailored to internal team needs while driving cross-functional collaboration. Key Responsibilities - GenAI Development: Design and develop advanced GenAI models (e.g., LLMs, DALL E models) and AI Agents to automate internal tasks and workflows. Exposure to LLMs: Utilize Azure Open AI APIs, experience on models like GPT4o, O3 , llama3 Enhance the existing RAG based application: In depth understanding of stages of RAG - chunking, retrieval etc. - Cloud Deployment: Deploy and scale GenAI solutions on Azure Cloud services (e.g., Azure Function App) for optimal performance. In depth understanding of ML models like linear regression, random forest, decision trees. In depth understanding on clustering and supervised models. - AI Agent Development: Build AI agents using frameworks like LangChain to streamline internal processes and boost efficiency. - Data Analytics: Perform advanced data analytics to preprocess datasets, evaluate model performance, and derive actionable insights for GenAI solutions. - Data Visualization: Create compelling visualizations (e.g., dashboards, charts) to communicate model outputs, performance metrics, and business insights to stakeholders. Stakeholder Collaboration: Partner with departments to gather requirements, align on goals, and present technical solutions and insights effectively to non-technical stakeholders. - Model Optimization: Fine-tune GenAI models for efficiency and accuracy using techniques like prompt engineering, quantization, and RAG (Retrieval-Augmented Generation). LLMOps Best Practices: Implement GenAI-specific MLOps, including CI/CD pipelines (Git, Azure DevOps) - Leadership: Guide cross-functional teams, mentor junior engineers, and drive project execution with strategic vision and ownership. Helicopters, strategic Thinking**: Develop innovative GenAI strategies to address business challenges, leveraging data insights to align solutions with organizational goals. - Self-Driven Execution: Independently lead projects to completion with minimal supervision, proactively resolving challenges and seeking collaboration when needed. - Continuous Learning: Stay ahead of GenAI, analytics, and visualization advancements, self-learning new techniques to enhance project outcomes. Required Skills & Experience - Experience: 8-12 years in AI/ML development, with at least 4 years focused on Generative AI and AI agent frameworks. - Education: BTech/BE in Computer Science, Engineering, or equivalent (Masters or PhD in AI/ML is a plus). - Programming: Expert-level Python proficiency, with deep expertise in GenAI libraries (e.g., LangChain, Hugging Face Transformers, PyTorch, Open AI SDK) and data analytics libraries (e.g., Pandas, NumPy), sk-learn. Mac - Data Analytics: Strong experience in data preprocessing, statistical analysis, and model evaluation to support GenAI development and business insights. - Data Visualization: Proficiency in visualization tools (e.g., Matplotlib, Seaborn, Plotly, Power BI, or Tableau) to create dashboards and reports for stakeholders. - Azure Cloud Expertise: Strong experience with Azure Cloud services (e.g., Azure Function App, Azure ML, serverless) for model training and deployment. - GenAI Methodologies: Deep expertise in LLMs, AI agent frameworks, prompt engineering, and RAG for internal workflow automation. - Deployment: Proficiency in Docker, Kubernetes, and CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for production-grade GenAI systems. - LLMOps: Expertise in GenAI MLOps, including experiment tracking (e.g., Weights & Biases), automated evaluation metrics (e.g., BLEU, ROUGE), and monitoring. Soft Skills: - Communication: Exceptional verbal and written skills to articulate complex GenAI concepts, analytics, and visualizations to technical and non-technical stakeholders. - Strategic Thinking: Ability to align AI solutions with business objectives, using data-driven insights to anticipate challenges and propose long-term strategies. - Problem-Solving: Strong analytical skills with a proactive, self-starter mindset to independently resolve complex issues. - Collaboration: Collaborative mindset to work effectively across departments and engage colleagues for solutions when needed. Preferred Skills - Experience deploying GenAI models in production environments, preferably on Azure Familiarity with multi-agent systems, reinforcement learning, or distributed training (e.g., DeepSpeek). - Knowledge of DevOps practices, including Git, CI/CD, and infrastructure-as-code. Advanced data analytics techniques (e.g., time-series analysis, A/B testing) for GenAI applications. - Experience with interactive visualization frameworks (e.g., Dash, Streamlit) for real-time dashboards. - Contributions to GenAI or data analytics open-source projects or publications in NLP, generative modeling, or data scien

ClanX is looking for Senior Machine Learning Engineer - Web3 to join our dynamic team and embark on a rewarding career journey Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing existing products or concepts to ensure compliance with industry standards, regulations, and company policies Preparing proposals for new projects, identifying potential problems, and proposing solutions Estimating costs and scheduling requirements for projects and evaluating results

We re hiring a Senior AI Engineer to lead the development and deployment of cutting-edge AI systems, with a focus on large language models (LLMs), real-time conversational agents, multimodal intelligence, and multilingual capabilities This role bridges deep ML expertise, system design, and hands-on implementation ideal for someone excited to turn AI innovation into real world product impact You ll work across open-source and commercial models, cloud platforms, and global user contexts to shape the future of AI-driven user experiences *** This is a hybrid position - working 3 days a week from our Bangalore office

Hiring for AIML Engineer - Bangalore Job Summary: We are looking for a passionate and skilled AI/ML Engineer to join our team. You will be responsible for designing, developing, and deploying machine learning models and AI-driven solutions that solve real-world problems and add value to our products and services. Key Responsibilities: Design and implement machine learning models and algorithms for classification, regression, clustering, NLP, or computer vision tasks. Work with large datasets, perform data preprocessing, cleaning, and feature engineering. Collaborate with data scientists, software engineers, and product managers to integrate ML models into production systems. Continuously monitor and improve the performance of AI/ML solutions. Research and stay up to date with the latest trends and advancements in AI/ML. Write efficient, reusable, and well-documented code. Required Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. Strong knowledge of Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, or Keras. Experience with data manipulation tools like Pandas, NumPy, and SQL. Understanding of supervised, unsupervised, and reinforcement learning algorithms.

Design, develop, and deploy machine learning and deep learning models for real-world applications. Analyze large-scale datasets using Spark and SQL to uncover trends and patterns. Collaborate with data engineers, analysts, and business stakeholders to define data-driven strategies. Build and maintain robust data pipelines and model training workflows. Communicate complex findings clearly through visualizations, presentations, and reports. Continuously explore and implement the latest advancements in AI and data science. What you'll Bring: bachelors or masters degree in Computer Science, Data Science, Statistics, or a related field. 4+ years of experience in data science or machine learning roles. Strong proficiency in Python and its data science ecosystem (Pandas, NumPy, Scikit-learn, etc). Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch. Proficiency in Apache PySpark for distributed data processing. Advanced SQL skills for data manipulation and analysis. Solid understanding of machine learning algorithms, model evaluation, and deployment. Preferred Qualifications: Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with MLOps tools and practices. Experience with NLP, computer vision, or time-series forecasting. Strong analytical thinking and problem-solving skills

Ahmed Embassy is seeking a highly skilled and experienced AI/ML Lead to spearhead the development and implementation of cutting-edge artificial intelligence and machine learning solutions. The ideal candidate will have a strong background in AI/ML, a proven track record of leading successful projects, and the ability to mentor and guide a team of engineers and data scientists. This role requires a blend of technical expertise, leadership capabilities, and a strategic mindset to drive innovation and contribute to the companys overall objectives. Key Responsibilities: Lead the design, development, and deployment of AI/ML models and solutions. Oversee the entire lifecycle of AI/ML projects, from conception and data gathering to model training, evaluation, and deployment. Provide technical guidance and mentorship to the AI/ML team, fostering a collaborative and innovative environment. Stay up-to-date with the latest advancements in AI/ML technologies and identify opportunities for their application. Collaborate with cross-functional teams, including product management, engineering, and business stakeholders. Ensure the quality, performance, and scalability of AI/ML solutions. Manage project timelines, resources, and budgets effectively. Educational Qualifications: Masters or Doctoral degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Must-Have Skills: Strong proficiency in programming languages such as Python, R, or Java. Extensive experience with machine learning frameworks and libraries (eg, TensorFlow, PyTorch, scikit-learn). Deep understanding of machine learning algorithms, techniques, and best practices. Experience with data preprocessing, feature engineering, and model evaluation. Excellent communication, leadership, and problem-solving skills. Good-to-Have Skills: Experience with cloud computing platforms (eg, AWS, Azure, Google Cloud). Familiarity with big data technologies (eg, Hadoop, Spark). Experience in natural language processing (NLP) or computer vision. Experience with DevOps practices and model deployment.

Job Description About Signify Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond, At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career, Join us, and together, well transform our industry, making a lasting difference for brighter lives and a better world You light the way, More About The Role Were looking for a Data Scientist to work on Deep learning, machine learning, data mining, and statistical modelingfor providing predictive and prescriptive enterprise analytics Successful candidates will be expected to guide a team of Data Scientists, investigate state of the art techniques in advanced machine learning and statistical modeling, and design, develop, and deploy state-of-art, scalable systems for innovative analytics applications across various functional areas (e-g Finance, Sales, Marketing, Supply Chain, etc ) Applicants will be expected to work with a diverse set of data sources, such as time series data, graph data, semi-structured and unstructured data, and build statistical / machine-learning / Deep Learning/Gen AI models in support of on-demand, real-time analytic services The applicant should also have strong skills in explaining the analytic models and outcomes to business stakeholders, Youll be part of the Signifys Enterprise Data & Analytics team, based in Bangalore, More About You Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field 4+ years of hands-on experience in data science or a related field with demonstrated history of delivering analytics models and solutions Strong programming skills in Python, PySpark or other statistical programming languages Strong foundation in machine learning and deep learning algorithms and expertise in natural language processing (NLP) and computer vision techniques Experience with popular deep learning frameworks such as TensorFlow and PyTorch Research and explore the latest advancements in generative AI, including techniques like natural language processing (NLP), computer vision, and machine learning Develop and implement generative AI models and algorithms to address specific business challenges Train and fine-tune generative AI models using large datasets and industry-specific knowledge to improve accuracy and efficiency Knowledge of cloud platforms like AWS, GCP, or Azure Strong problem-solving skills, communication skills and the ability to think creatively and strategically with a focus on business outco Everything well do for you Opportunity to work on some of the highly complex and challenging business problems across a variety of functional and business domains, Competitive salary depending on experience, Extensive set of tools to drive your career, such as a personalized learning platform, training and coaching You can grow a lasting career here Well encourage you, support you, and challenge you Well help you learn and progress in a way thats right for you, with coaching and mentoring along the way Well listen to you too, because we see and value every one of our 30,000+ people, We believe that a diverse and inclusive workplace fosters creativity, innovation, and a full spectrum of bright ideas With a global workforce representing 99 nationalities, we are dedicated to creating an inclusive environment where every voice is heard and valued, helping us all achieve more together,

Role & responsibilities: : Define and own the AI transformation strategy across the enterprise, aligned with business priorities and Group ITs digital roadmap. Identify, prioritize, and drive AI use cases that deliver measurable value across functions (e.g., R&D, supply chain, commercial, operations). Establish governance and standards for responsible AI development and usage (e.g., ethical frameworks, data privacy, model lifecycle management). Lead cross-functional teams to design, pilot, and scale AI solutionspartnering with data scientists, engineers, business analysts, and IT delivery teams. Act as a trusted advisor to senior leaders on AI trends, capabilities, and value potential, translating complex concepts into actionable insights. Develop and mature AI capabilities across the organization, including platform selection, talent development, and operating model evolution. Foster a culture of innovation and experimentation, championing AI literacy and embedding agile, data-driven thinking into the organization. Monitor industry trends and emerging technologies, bringing external perspective to shape internal AI innovation. Preferred candidate profile: Proven experience in leading AI, data science, or digital transformation programs at scale. Strong understanding of AI/ML technologies, enterprise IT environments, and data ecosystems. Demonstrated ability to bridge strategy and execution, with a track record of delivering business outcomes through AI. Excellent stakeholder management and communication skills, especially with non-technical audiences and executive leadership Experience in regulated industries (e.g., life sciences, finance, healthcare) is an advantage. Bachelor's or masters degree in computer science, Data Science, Engineering, or related field. MBA or equivalent business qualification is a plus.

Are you interested in improving the Digital Reading Experience. We are from Kindle Books Team looking for a Manager in Applied Science who will be managing the Applied Scientists. The team is looking to take the reading experience in Kindle to next level with a set of innovations! We are building a holistic team focused on leveraging advances in AI to improve the Reading experience for Kindle customers, and this role is specifically for a Manager, Applied Science who will focus on grooming the team, working with other science teams, influencing the product strategy & team vision and bringing the state-of the art innovations for improving Reading experience. The manager will be managing the Scientists to bring in state of the art solutions to improve Reading experience. You invent and design new solutions for scientifically-complex problem areas You design experiments and define the science approach to solve critical business use-cases for automating manual work that involves unstructured text, documents, images, symbols, etc. Your work focuses on ambiguous problem areas at the product level, where the business problem or opportunity may not yet be crisply defined. You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You provide a system-wide view and design guidance for solutions that can be brand new or evolve from existing ones. You apply and set the example for best practices in software engineering, and systematically peer review code written by your team members. You set standards and proactively drive components to use and improve on state-of-the-art techniques. You autonomously drive thoughtful discussions with customers, engineers, and scientist peers, and build consensus on larger projects and factor complex efforts into independent tasks that can be performed by you and others. You hire, groom and grow Applied Scientists & ML engineers. 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval and Analytics Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers