1125 Computer Vision Jobs - Page 37

Who you are & how you can contributeWe are seeking a Chemistry expert with a BSc 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 doingAnnotate 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

Who you are & how you can contributeWe are seeking a Chemistry expert with a BSc 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 doingAnnotate 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

Who you are & how you can contributeWe are seeking a Chemistry expert with a BSc 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 doingAnnotate 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

Who you are & how you can contributeWe are seeking a Chemistry expert with a BSc 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 doingAnnotate 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

Who you are & how you can contributeWe are seeking a Chemistry expert with a BSc 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 doingAnnotate 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

Who you are & how you can contributeWe are seeking a Chemistry expert with a BSc 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 doingAnnotate 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

Exclusive Opportunity for Indias MLOps Experts! Soul AI (by Deccan AI) is hiring top-tier MLOps Engineers for high-paying contract & freelance roles What You Get: Market-leading compensation Flexible contracts (2"“12 months) Remote & hybrid work options Collaborate with AI leaders on cutting-edge projects Your Responsibilities: Build & automate ML pipelines (Kubeflow, MLflow, Airflow) Develop & optimize CI/CD workflows Deploy ML models at scale with Docker, Kubernetes, cloud ML platforms Implement monitoring & governance frameworks Must-Have Skills: Python, TensorFlow, PyTorch AWS, GCP, Azure ML expertise CI/CD, monitoring, data versioning knowledge Join our Expert Community & unlock premium AI job opportunities!

Hiring for Python AI Developer with one of the service based organization. Location- Pan India Role & responsibilities Mandate Skills:- Must have hands on experience fine tuning LLMs using project specific data and experience training complex models such a deep learning model. Responsibilities / Duties: Training AI models using OCR and LLMs Follow AWS Well-Architected Framework Following internal best practices for code monitoring and testing Ensure data confidentiality and HIPAA compliance Collaborate with other data scientist and divide work to finish the projects within the timeline Meet deadlines for weekly/bi-weekly meetings Collaborate with software engineers to deploy models in production Robust testing of models to ensure accuracy Create visualizations to communicate results to non-technical stakeholders QA/Application testing Testing and implementing NER models Compare feasibility of different models Skills: Big data Data cleaning Python Experience training complex models and fine tuning models AWS SageMaker Bedrock Lambda S3 API gateway Textract API CI/CD Version control Jenkins SQL OCR NER models LLMs Fine tuning (mistral, llama, and other open source models) Prompt tuning Familiar with huggingface packages Computer vision models for object detection and segmentatio What we seek: Able to code in python Have used AWS services like Sagemaker and Textract Knowledge of Gen AI and experience fine-tuning models Good understanding of Machine learning basics (know what metrics to use, and when) Good understanding of deep learning basics so they can tweak the models during fine-tuning Good understanding of NLP concepts, such as Named-Entity Recognition If interested kindly share your updated resume on asawari.kerkar@prodcon.com . Best Regards, Asawari Kerkar Training & Talent Acquisition Specialist Prodcon Tech Services Unlocking potential!

Summary: We are seeking skilled 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 creating 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 Work Experience 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

Summary Were seeking an experienced MLOps Engineer to build and maintain our computer vision infrastructure on AWS. The ideal candidate will develop model training pipeline, a comprehensive image data lake with advanced search capabilities, implement active learning pipelines for efficient annotation, and create frameworks enabling customers to deploy their own deep learning models. This role combines MLOps expertise with data engineering to create scalable, production-ready computer vision systems. Responsibilities: Design and implement end-to-end computer vision ML training pipelines on AWS SageMaker for model training, validation, deployment, and monitoring Architect and build a scalable image data lake solution enabling multi-modal search capabilities (structured metadata, image-to-image, text-to-image) along with data upload capability from edge devices Develop vector embedding pipelines for visual content using AWS services and deep learning frameworks Create APIs for seamless integration with third-party annotation services and automated dataset creation Implement active learning pipelines that intelligently select high-value images for annotation, optimizing annotation ROI Build data quality and validation frameworks to ensure consistency across the annotation lifecycle Develop infrastructure automation using AWS CloudFormation/CDK for scalable deep learning workflows Establish monitoring systems for data drift, annotation quality, and model performance Create skeleton frameworks and templates enabling customers to deploy their own deep learning models Optimize storage and retrieval mechanisms for large-scale image repositories Work Experience Requirements: Bachelors or Masters degree in Computer Science, Engineering, or related field 5+ years of experience in MLOps or ML Engineering with focus on computer vision applications Experience building data lakes or large-scale data repositories for unstructured data Strong understanding of vector databases, embedding models, and similarity search algorithms Hands-on experience with AWS services (S3, SageMaker, Lambda, Step Functions, Glue) Proficiency in Python and experience with PyTorch or TensorFlow Experience implementing active learning systems for optimizing annotation workflows Knowledge of RESTful API design and integration with third-party services Familiarity with annotation tools and workflows for computer vision datasets Experience with containerization (Docker) and orchestration (Kubernetes/EKS) Understanding of data governance and security best practices for sensitive image data

Summary: We are seeking skilled 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 creating 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 Work Experience 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

An AI Engineer designs, develops, and implements artificial intelligence systems and applications that can simulate human intelligence processes through the creation and validation of algorithms, neural networks, and other machine learning techniques

Job Overview We are looking for a Senior Computer Vision Machine Learning Engineer to lead the development of real-time CV/ML systems, with an emphasis on deploying models on edge platforms like the NVIDIA IGX Orin. The ideal candidate will have experience in designing robust vision pipelines, training and optimizing deep learning models, and working closely with hardware platforms for deployment. Responsibilities Lead the design, development, and deployment of end-to-end computer vision and deep learning models Optimize and deploy CV/ML pipelines on edge platforms, particularly NVIDIA IGX (Orin preferred) Work with cross-functional teams to integrate models into real-time applications (e.g., robotics, safety systems, industrial inspection) Develop and maintain datasets, perform data augmentation, and ensure quality training inputs Leverage NVIDIA SDKs (e.g., DeepStream, TensorRT, TAO Toolkit, CUDA) for performance and acceleration Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints Stay up to date with the latest research and techniques in computer vision, edge AI, and embedded ML Requirements Bachelors or Masters degree in Computer Science, Electrical Engineering, or related field 5+ years of experience in Computer Vision and Machine Learning (deep learning emphasis) Proficiency in Python, C++, TensorFlow, PyTorch Strong understanding of model optimization techniques for edge deployment Hands-on experience with NVIDIA platforms IGX, Jetson, or Xavier (IGX Orin highly preferred) Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit) Solid knowledge of vision tasks: object detection, tracking, classification, segmentation Familiarity with containerization (Docker), CI/CD pipelines, and version control (Git) Preferred Qualifications Experience in industrial AI, medical imaging, or robotics Exposure to RTOS, safety-critical systems, or IEC 61508/ISO 26262 environments Familiarity with ONNX, OpenCV, ROS, or GStreamer What We Offer Opportunity to work on cutting-edge AI/edge technology with real-world impact Collaborative and fast-paced engineering culture Flexible working hours and remote work options Competitive salary and benefits package Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Job description Job title: Consultant - Data Scientist- Computer Vision Location: Bangalore (Hybrid) Years of Experience: 5+ Preferred - Immediate Joiners Primary Skills: Computer Vision (YOLO, PaddleOCR, Video/Image Analytics, number plate identification, parking spot detection, detecting speed of vehicles from videos) Secondary Skills: Neural Networks, Computer Vision, Deep Learning Key Responsibilities: AI/ML Model Development & Optimization Design, develop, and train deep learning models, including CNNs, RNNs, Transformers, and hybrid models for audio-video data fusion. Optimize models for performance, including reducing inference times and memory footprint for deployment on resource-constrained devices. Data Collection & Preprocessing Collect, preprocess, and augment large-scale datasets, particularly for audio and video, ensuring high-quality input for model training. Implement data fusion techniques to combine multimodal data sources (audio, video) to create richer, more accurate models. Edge Computing & Deployment Deploy AI/ML models onto edge devices such as Raspberry Pi, NVIDIA Jetson, or Intel Movidius, ensuring real-time, efficient operation. Perform hardware-aware optimizations like quantization, pruning, and model compression to enable efficient edge deployment. Real-time AI Applications Develop real-time AI applications using computer vision and deep learning techniques for tasks such as object detection, gesture recognition, and video analysis. Ensure high accuracy and low latency for real-time performance, both in cloud and on-device environments. Collaboration with Cross-Functional Teams Collaborate with software engineers, hardware engineers, and data scientists to integrate AI models into embedded systems, ensuring smooth deployment and functionality on edge devices. Work closely with product teams to translate business requirements into AI solutions, ensuring the models meet end-user needs. Model Evaluation & Monitoring Evaluate the performance of deployed models using standard metrics (accuracy, precision, recall, F1 score) and real-world feedback to improve model performance over time. Continuously monitor and troubleshoot models post-deployment to ensure optimal performance and scalability. Research & Innovation Stay up-to-date with the latest advancements in AI/ML, computer vision, and edge computing, and explore new techniques to improve the efficiency and effectiveness of models. Experiment with novel architectures, including fusion models and multi-task learning, to solve complex problems in multimodal environments.

Languages/Frameworks : Python, SQL, TensorFlow, PyTorch, Scikit-learn Cloud & Infrastructure : AWS, Azure, GCP, Docker, MLOps principles AI Focus Areas : LLMs, Prompt Engineering, Neural Networks, NLP, NLU, RAG, GraphQL, Graph Databases House rent allowance Travel allowance Health insurance Maternity policy Annual bonus Performance bonus Job/soft skill training Course reimbursements

As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility. This role includes the following responsibilities and requirements: Architecture, design, development, debugging, documentation, and operation of large-scale systems designed for AWS, Full Stack, AI and Machine Learning. Location- Karnal,Mohali,Remote

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- High Tech Title :- I&F Decision Science Practitioner Job location :- Bangalore, Gurgaon, Hyderabad, Kolkata About S&C - Global Network :- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? We are seeking a skilled and experienced Senior Data Scientist to join our Hi-Tech practice. The ideal candidate should have hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, medical technology. As a Senior Data Scientist, you will be responsible for developing AI models/applying GenAI techniques in areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products. You will be leading design and delivery on client projects. What you would do in this role Develop and implement AI models and GenAI applications to address business challenges in semiconductors, enterprise technology, consumer technology, medical technology and related industries. Collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments. Create industry-leading points-of-view in the client domains you are working on that ensures our positioning as a value-partner Design and implement GenAI based solutions through contextual prompt engineering and prompt tuning and supporting solution architects on the design of GenAI-powered solutions/assets. Utilize your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions. Design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques. Architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems. Leverage cloud platforms, with preference for Azure/GCP, and experience with AWS is also valued. Stay updated on emerging technologies and industry trends, contributing to continuous improvement initiatives within the organization. Qualifications Who we are looking for? Bachelors or masters degree in computer science/MBA in a quant discipline in Data Science, Engineering, Industrial or related field. 7-11 years of hands-on experience in data science, with a focus on industries mentioned above. Prior experience in leading teams that develop data science/GenAI solutions will be preferred. Proven track record of developing AI models in areas such as channel analytics, marketing & customer experience, supply chain analytics, predictive maintenance, production optimization, and connected products. Strong proficiency in Python programming, with experience in NLP and Computer Vision. Exposure to PLM/ERP/CRM systems and understanding of their integration with AI solutions. Experience with cloud platforms, preferably Azure/GCP, and familiarity with AWS. Knowledge of LLM exposure and experience with tools such as ChatGPT, Llama 2, Claude 2, Hugging Face, etc. for prompt engineering, prompt tuning, etc will be an advantage.

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 : Google Cloud Machine Learning Services Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : BTech Summary :As an AI/ML Engineer,, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks. Creation of agents in Agent builder and integrating them into end end to pipeline. Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Ensure proper cloud application pipeline with production-ready quality. Professional & Technical Skills: Must To Have Skills:CCAI hands on experience and generative AI understanding. Good To Have Skills:Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms and techniques. Experience with chatbot , generative AI models, prompt Engineering Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 3 - 5 years of experience in Google Cloud Machine Learning Services.and overall Experience around 5 - 7 years The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office. Qualifications BTech

Candidate should have strong expertise in Node.js and React.js, and will be responsible for building and integrating RESTful APIs with front-end technologies (React).Working with cloud services (Azure) & implementing CI/CD pipelines.

Responsibilities: Develop and Propose the solution architecture for Generative AI (especially LLMs), advanced Conversational AI chatbots & cloud AIaaS. Develop and implement applications leveraging advanced Generative AI models such as OpenAI GPT, Anthropic Clude, Meta Llama2 and Google Gemini focusing on enhancing developer and business productivity. Develop, Train, Finetune, and Deploy large language models to perform the domain specific tasks. Apply instruction tuning, reinforcement learning from human feedback (RLHF), and parameter efficient finetuning such as, adaptors, LoRA, and so on to improve LLMs for different use cases. Architect solutions incorporating advanced techniques like Retrieval Augmented Generation (RAG), Transformer Architectures, Lanchain, Sqlchain ensuring optimal model performance and scalability. Hands on experience in RAG system, LLM fine tuning and Vector DB is must Measure and benchmark of the various LLMs and application performance. Drive end-to-end implementation and deployment with extensive knowledge of Azure and AWS services Stay abreast of emerging trends, complex patterns, data dependencies, and advancements in AI architecture, contributing to the refinement and innovation of application development processes. Qualifications: Bachelor Degree or Masters degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence. Excellent programming skills in Python with strong fundamentals in programming, optimizations and software design Strong knowledge of ML/DL techniques, algorithms, and tools with exposure to CNN, RNN (LSTM), Transformers (BERT, BART, GPT/T5, Megatron, LLMs) Hands-on experience on conversational AI Technologies like Natural Language Understanding, Natural Language Generation, Dialog systems (including system integration, state tracking and action prediction), Information retrieval and Question and Answering, Machine Translation etc. Experience with Training BERT, GPT and Megatron Models for different NLP and dialog system tasks using “PyTorch” Deep Learning Frameworks and performing NLP data wrangling and tokenization Understanding of MLOps life cycle and experience with MLOps workflows & traceability and versioning of datasets including knowhow of database management and queries (in SQL, MongoDB etc) Experience using end-to-end MLOps platform such as Kubeflow, MLFlow, AirFlow Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment.

AEREO (earlier known as Aarav Unmanned Systems) is India s leading drone solution tech startup in the commercial segment. We provide end to end solutions to government and private enterprises in the field of mining & metals, urban planning, large infrastructure, irrigation, agriculture and energy. We are early starters and market leaders in the Indian drone industry. Our belief is to solve real problems and use drone technology as a revolution. Our strength is our perseverance, clarity, collaborative approach, innovation and our team. We are funded by some of the well-known Indian VCs in our growth journey so far. However, our business is already self-sustaining and growing at a fast pace. We love machines, especially aerial robots and believe that drones are shaping the future of the world. Aereo is actively looking for self-driven and process-oriented individuals who would be interested in joining team Aereo in this fascinating growth journey and be an early contributor to the drone ecosystem of the country which is growing at a very exciting and fast pace. The role pertains to the Platform Team in Aereo whose charter is to build and maintain our cloud-based enterprise SaaS platform, Aereo Cloud. Aereo Cloud is a powerful platform which enables organizations to store, manage, visualize and analyze their drone-based geospatial data at PB-scale and generate critical and actionable business insights based on this data. About the Role The Data Science Team is looking for a Data Science Intern to support the development and deployment of scalable 2D/3D computer-vision algorithms and AI agents across mapping, surveying, mining, and infrastructure applications. You ll work alongside Data Scientists, MLOps engineers, and Platform developers to take models from prototype to production. Duration: 6 months Location: Bangalore (In-office) Key Responsibilities Pipeline Development: Assist in building end-to-end ML workflows data ingestion, model inference, post-processing, and visualization. Model Prototyping: Prototype and benchmark CNN, Transformer, or multi-modal architectures for detection, segmentation, and 3D reconstruction. Data Preparation: Collect, clean, and annotate imagery and 3D point-cloud data for training and validation. Optimization: Learn and apply quantization, pruning, and other techniques for low-latency, high-throughput inference. AI Agents: Contribute to intelligent agents that automate data pipelines, trigger alerts, and assist non-technical users. Documentation & Communication: Write clear code comments, README files, and present progress in team meetings. Requirements Currently enrolled in (or recently graduated from) a B.Tech/M.Tech/MS/ME program in CS, EE, Remote Sensing, or related field Proficient in Python and familiar with ML frameworks (PyTorch, TensorFlow) Coursework or projects in computer vision, 3D vision, or robotics (e.g., image segmentation, point-cloud processing) Solid grasp of ML fundamentals (CNNs, optimization, metrics) Strong analytical and problem-solving skills, with a proactive learning attitude Preferred Skills Experience with OpenCV, PCL, or similar vision/3D libraries Exposure to cloud platforms (AWS, GCP, Azure) or containerization (Docker, Kubernetes) Interest or experience in geospatial data (GIS, satellite imagery, LiDAR) Familiarity with MLOps concepts (model versioning, CI/CD, monitoring) Excellent written and verbal communication

Job Summary We are hiring a Junior AI Engineer to design and implement AI-driven automation solutions. Youll work with cross-functional teams to streamline operations and reduce manual tasks using machine learning, APIs, and scripting. Training will be provided , making this a great opportunity for candidates with a strong foundation and a desire to grow in AI and automation. Responsibilities Automate repetitive tasks using AI/ML or Python scripting. Integrate AI features into web apps with development teams. Connect ML models to systems like Frappe/ERPNext via APIs. Build and maintain clean, well-documented automation workflows. Prototype tools using speech-to-text , OCR , or computer vision . Stay updated on new AI tools and suggest improvements. Qualifications: Proficient in Python and basic scripting. Exposure to AI/ML through projects, coursework, or certifications. Familiar with OpenCV, Numpy, Pandas, or PyTorch. Experience or familiarity with Large Language Models (LLMs) and Generative AI technologies (e.g., GPT, Grok). Hands-on experience or understanding of LangChain and its applications in building LLM-powered workflows. Understanding of APIs and web integrations. Bachelor s degree (or pursuing) in Computer Science, Data Science, Engineering, or a related field. Strong problem-solving skills and eagerness to learn. Gender - Both Exp - Fresher Location - Bangalore

Roles & Responsibilities : Education and Work Experience Requirements: 5 to 8 years of experience as Data Science Architect 2 to 3 years of experience in Generative AI solution development Proven track record and experience with with GenAI technologies o Open source LLMs like Llama, Gemma, Mixtral etc o Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etc o Prompt Engineering/Tuning, RAG, RAFT, LLM finetuning such as PEFT(LoRA, QLoRA ..) o Understanding of SLMs such as Phi3,QWEN, BERT and Transformer architecture o Vector databases like Pinecone, Qdrant etc. Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model Expertise with the following scripting languages: o Python, R, Tensorflow, Keras, Pytorch o OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs Design and implement end-to-end Generative AI solutions, ensuring seamless integration with enterprise applications and workflows. Lead technical evaluations and POCs (Proof of Concepts) to assess new AI models, frameworks, and vector databases for RAG solutions. Develop scalable indexing and retrieval strategies to optimize search and generation performance in large-scale AI systems. Implement hybrid search techniques, including dense and sparse retrieval, for enhanced information retrieval accuracy. Define and enforce architectural standards, coding best practices, and performance benchmarks for RAG-based applications. Collaborate with business leaders to identify AI-driven opportunities and develop strategic roadmaps for AI product evolution. Drive the adoption of domain-specific AI solutions by tailoring RAG architectures to industry-specific requirements. Establish feedback loops and model monitoring mechanisms to ensure continuous improvement of AI-generated outputs. Utilize MLOps best practices to automate model deployment, monitoring, and retraining pipelines for Generative AI solutions. Optimize knowledge graphs and vector embeddings to enhance contextual awareness in Graph RAG implementations. Develop strategies for handling long-context retrieval and efficient chunking mechanisms for better AI response quality. Leverage fine-tuning and reinforcement learning with human feedback (RLHF) to improve generative AI model performance. Explore and integrate federated learning techniques to enable privacy-preserving AI model training and inference. Conduct AI ethics assessments and bias mitigation strategies to ensure responsible AI development and deployment. Engage with open-source AI communities and contribute to research publications or technical blogs on RAG advancements. Participate in technical panels, conferences, and industry events to showcase AI expertise and thought leadership. Support sales and pre-sales teams by providing technical guidance, solution demonstrations, and AI-driven business value assessments. Establish AI Centers of Excellence (CoE) within the organization to drive innovation, knowledge sharing, and AI capability building. Ensure compliance with enterprise security policies, data governance regulations, and responsible AI guidelines. Develop multi-modal AI capabilities that integrate NLP, Computer Vision, and Speech Recognition for advanced generative applications. Prior experience working on Mobility, Manufacturing or Healthcare domain will be a plus. Mandatory Skills: Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Strong understanding of LLMs, and asso Qualifications Educational qualification: BE/BTech or MCA Experience : 10-15 years <

Management Level: Ind & Func AI Decision Science Analyst Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills :Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 1-3 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 1-3 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus:Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 1-3 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

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 : Prompt Engineering Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Prompt Engineering.- Strong understanding of AI/ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Hands-on experience with chatbots and image processing. Additional Information:- The candidate should have a minimum of 5 years of experience in Prompt Engineering.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education