477 Image Processing Jobs

Job description Company Description Doozy Robotics designs flexible and intelligent autonomous mobile robots for the industry. The company offers Humanoid and Autonomous Robots that assist in both commercial and industrial applications. Doozy Robotics is at the forefront of innovation, developing advanced robotics solutions tailored to enhance efficiency and productivity. As a fast-growing leader in the robotics field, Doozy Robotics provides cutting-edge technologies and solutions to meet the evolving needs of various industries. Role Description Key Responsibilities Perception System Development: Design and implement perception algorithms for object detection, tracking, and scene understanding using data from cameras, LiDAR, radar, and other sensors. Sensor Fusion: Develop sensor fusion techniques to integrate data from multiple sources, enhancing the accuracy and reliability of environmental perception. Computer Vision: Apply computer vision methodologies for real-time image processing, feature extraction, and pattern recognition in dynamic environments. AI/ML Model Development: Build and train machine learning models for tasks such as semantic segmentation, depth estimation, and anomaly detection. Robotics Integration: Collaborate with robotics engineers to integrate perception systems into autonomous platforms, ensuring seamless operation in real-world scenarios. Collaboration: Work closely with cross-functional teams to develop AI-powered vision systems, contributing to the advancement of autonomous technologies. Qualifications Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field. Experience: 3+ years of hands-on experience in AI/ML development, computer vision, and sensor fusion. Technical Skills: Proficiency in programming languages such as Python, C++, and ROS. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Familiarity with sensor technologies (e.g., LiDAR, radar, cameras) and their integration. Knowledge of SLAM, 3D reconstruction, and path planning algorithms. Soft Skills: Strong problem-solving abilities, effective communication, and a collaborative mindset.

Educational Background: PhD in Computer Vision, Machine Learning, Artificial Intelligence, or a related field. Preference will be given to candidates from reputed institutions such as IITs, IISc, or equivalent.

Embedded system design and development Required Candidate profile Experience with Pitorch, AI, Machine learning, Machine vision, C/C++ Programming,

Backend/Annotator International Process Salary-: - 25 K CTC / Experience - 20 K CTC/ Fresher Perks and Benifits-: -Both side Cabs -5 Day working -Salary Increament after every 6 Months -Incentive Required Candidate profile -Immediate Joiners -Knowledge of Data Annotation preffered -Graduate can only apply(no result awaied) -Confortable working Rotational shifts -Team Player -Confortable in Reloaction -BCA/MCA Preffered

Annotator International Process Salary-: - 25 K CTC / Experience - 20 K CTC/ Fresher Assessment:- Data Annotation assessment Operations Round Perks and Benifits-: -Both side Cabs -5 Day working -Salary Increament after every 6 Months -Incentive Required Candidate profile -Immediate Joiners -Good Knowledge of Data Annotation -Graduate can only apply(no result awaied) -Confortable working Rotational shifts -Team Player -Confortable in Reloaction -BCA/MCA Preffered

Job Title: Sr. Full Stack Engineer (React / Node.js / Nest.js / AWS / Fabric.js) Location: Remote (CET time zone overlap required) Notice Period: Immediate Type: Full-Time, Long-Term iSource Services is hiring for one of their USA based client for the position of Sr. Full Stack Engineer (React / Node.js / Nest.js / AWS / Fabric.js). About the Role - We are seeking an experienced Senior Full Stack Engineer for a long-term engagement on a functioning SaaS product in the manufacturing domain. The ideal candidate will have a strong foundation in both frontend and backend development and be comfortable working independently within a remote setup. This position provides an exciting opportunity to contribute to real-world AI and computer vision applications while working with a funded product that has already boarded a solid customer base. Project Overview A functional SaaS product operating in the manufacturing industry The platform has onboarded customers and secured initial funding Involvement in computer vision tasks integrated into real-world use cases Opportunity to work on a full-stack architecture and gain exposure to AI challenges Required Skills & Qualifications: Strong expertise in React.js (minimum 3 years in production-level projects) Advanced knowledge of Node.js and Nest.js (back-end frameworks) Practical experience with AWS (such as EC2, S3, Lambda, etc.) Relevant hands-on experience using Fabric.js for canvas-based UI Exposure to Python for computer vision (e.g., OpenCV, image processing) Strong version control practices using GitHub (GitHub profile required) Communication: Good command of English, both written and verbal Ability to communicate clearly in a remote environment Skills : - Full stack engineer,React.js,Node.js, nest.js,AWS, saas product ,AI application, computer vision, Full Stack Engineer, React.js, Node.js, Nest.js, AWS (EC2, S3, Lambda, etc.), Fabric.js (canvas-based UI), Python, GitHub, Frontend and backend development, SaaS product experience, AI application, computer vision.

International Process Salary - 22-23,000 In-Hand / Experience - 17,000 Fresher Assessment :- Data Annotation assessment Operations Round Graduate only Both side Cabs 5 Day working / Rotational shift / 2 day Rotational week off

AI Development: Design, develop, and deploy AI algorithms and machine learning models for safety systems, predictive analytics, and process optimization. Implement computer vision and NLP solutions for AR/VR applications and industrial safety scenarios. Data Analysis and Modelling: Collect, preprocess, and analyse large datasets from industrial systems and safety processes. Build predictive models, recommendation systems, and clustering algorithms to solve business challenges. Integration and Deployment: Integrate AI/ML models into existing software systems, AR/VR platforms, and training simulators. Develop APIs and tools to make AI capabilities accessible across platforms. Visualization and Reporting: Create intuitive dashboards and visualizations to present data insights to stakeholders. Generate detailed reports explaining analytical findings and model performance. Research and Innovation: Explore and experiment with new AI technologies and frameworks to improve safety and operational efficiency. Conduct feasibility studies for integrating emerging AI techniques into industrial solutions. Collaboration: Work closely with software developers, AR/VR teams, and business stakeholders to align AI solutions with company goals. Role & responsibilities Preferred candidate profile Experience: 5-7 years in AI, data science, or related fields with proven experience deploying machine learning models in production. Programming Skills: Proficiency in Python, R, or Java with experience using libraries like TensorFlow, PyTorch, Scikit-learn, or Keras. Data Tools: Strong knowledge of SQL/NoSQL databases, Hadoop, Spark, or other big data platforms. AI/ML Expertise: Hands-on experience with supervised, unsupervised, and deep learning techniques, as well as reinforcement learning. Analytics and Visualization: Expertise in tools like Tableau, Power BI, or Matplotlib for data visualization.

Videonetics Technology Pvt Ltd. is looking for System Integration Expert Computer Vision to join our dynamic team and embark on a rewarding career journey Design and integrate computer vision systems into enterprise applications Develop algorithms and ensure real-time data processing Collaborate with software, hardware, and AI teams Conduct system validation and performance tuning

Salary - 22,000 / Experience 17,000 / Fresher Assessment :- Data Annotation assessment Operations Round Graduate only 5 Day working / Rotational shift / 2 day Rotational week off

International Process Salary - 22,000 In-Hand / Experience - 17,000 In-Hand/ Fresher Assessment :- Data Annotation assessment Operations Round Graduate only Both side Cabs 5 Day working / Rotational shift / 2 day Rotational week off

Job Title: Data Scientist – OpenCV. Experience: 2–3 Years. Location: Bangalore. Notice Period: Immediate Joiners Only. Job Overview. We are looking for a passionate and driven Data Scientist with a strong foundation in computer vision, image processing, and OpenCV. This role is ideal for professionals with 2–3 years of experience who are excited about working on real-world visual data problems and eager to contribute to impactful projects in a collaborative environment.. Key Responsibilities. Develop and implement computer vision solutions using OpenCV and Python.. Work on tasks including object detection, recognition, tracking, and image/video enhancement.. Clean, preprocess, and analyze large image and video datasets to extract actionable insights.. Collaborate with senior data scientists and engineers to deploy models into production pipelines.. Contribute to research and proof-of-concept projects in the field of computer vision and machine learning.. Prepare clear documentation for models, experiments, and technical processes.. Required Skills. Proficient in OpenCV and image/video processing techniques.. Strong coding skills in Python, with familiarity in libraries such as NumPy, Pandas, Matplotlib.. Solid understanding of basic machine learning and deep learning concepts.. Hands-on experience with Jupyter Notebooks; exposure to TensorFlow or PyTorch is a plus.. Excellent analytical, problem-solving, and debugging skills.. Effective communication and collaboration abilities.. Preferred Qualifications. Bachelor’s degree in computer science, Data Science, Electrical Engineering, or a related field.. Practical exposure through internships or academic projects in computer vision or image analysis.. Familiarity with cloud platforms (AWS, GCP, Azure) is an added advantage.. What We Offer. A dynamic and innovation-driven work culture.. Guidance and mentorship from experienced data science professionals.. The chance to work on impactful, cutting-edge projects in computer vision.. Competitive compensation and employee benefits.. 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 Chemistry 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 Chemistry-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 Chemistry.. Must Required Traits:. Strong academic background in Chemistry.. Experience in Chemistry 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?. Competitive salary. 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

Minimum qualifications:. Bachelor’s degree or equivalent practical experience.. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.. 2 years of experience with data structures or algorithms.. 1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).. Preferred qualifications:. Master's degree or PhD in Computer Science or related technical fields.. Experience developing accessible technologies.. About The Job. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Write product or system development code.. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.. Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. 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 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

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!

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

- Job profile : Data Annotator - 5 Days working and 2 week offs - Rotational shifts and offs - Both side cabs as per international process - Salary : Freshers - 21k ctc, Experienced - 25k ctc - Rounds : Ops, Assessment Required Candidate profile - Decent english speaking candidates required - Graduation is mandatory to apply

- Job profile : Data Annotator - 5 Days working and 2 week offs - Rotational shifts and offs - Both side cabs as per international process - Salary : Freshers - 21k ctc, Experienced - 25k ctc - Rounds : Ops, Assessment Required Candidate profile - Decent english speaking candidates required - Graduation is mandatory to apply

- Job profile : Data Annotator - 5 Days working and 2 week offs - Rotational shifts and offs - Both side cabs as per international process - Salary : Freshers - 21k ctc, Experienced - 25k ctc - Rounds : Ops, Assessment Required Candidate profile - Decent english speaking candidates required - Graduation is mandatory to apply

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

Salary - 25,000 / Experienced 20,000 / Freshers Graduation mandatory 5 Day working / Rotation shift / 2 day Rotation week off Assessment :- Data Annotation assessment Operations Round

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