1163 Computer Vision Jobs - Page 39

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

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 : Snowflake Data Warehouse 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 Snowflake Data Warehouse.- Strong understanding of AI and ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Familiarity with chatbots and image processing. Additional Information:- The candidate should have a minimum of 5 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

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 engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that may encompass deep learning, neural networks, chatbots, and image processing technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the AI landscape. 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.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing processes and workflows to enhance team efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Prompt Engineering.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 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

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 : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. 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.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Evaluate and implement new technologies and methodologies to improve project outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud-based AI services and their integration.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

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 : Data Science 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 engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and image processing technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. 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.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and workflows. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Knowledge of programming languages such as Python or R. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

3-5 years of experience in company ofLabelling Data management & validation C++, python, pytorch, Tensorflow Hands on experience in C++, Python in development & validation. Professional SkillSW Domain Knowledge. Tool SkillPytorch & tensor flow Adaptability - Being able to adapt to changing environments and work processes What youll love about working here We recognize vendor by OEM Chennai as Capgemini employee. you will get an environment to maintain healthy work life balance. Have good experience in OEM experience. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Skills (competencies) C++

Develop anomaly detection apps using image libraries Create solution architecture, support sales/demos, mentor team Need Python/C++, object detection models, image processing, TensorFlow/PyTorch, edge deployment, cloud platforms, collaboration skills

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

Salary : 15 to 30 LPA Exp: 3 to 6 years Location :Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and GEN AI Interact with the client to understand their requirements and communicate / brainstorm solutions. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Text classification using any of the following : decision trees, knn classification, support vector machines or LDA Exp on SQL would be a plus

About the job: Key responsibilities: 1. Develop Windows desktop apps using C#, WPF, and XAML 2. Implement computer vision features using OpenCV (Emgu CV) 3. Work on real-time image/video processing and object detection 4. Integrate deep learning models (ONNX/TensorFlow) into applications 5. Optimise performance with multithreading and GPU acceleration 6. Collaborate on Python-based prototyping and scripting 7. Debug, test, and enhance application performance Who can apply: Only those candidates can apply who: are from Ahmedabad only are Computer Science Engineering students Salary: ₹ 2,16,000 - 2,76,000 /year Experience: 0 year(s) Deadline: 2025-06-28 23:59:59 Skills required: OpenCV, Python, Computer Vision and TensorFlow Other Requirements: 1. Bachelor's or Master's degree in Computer Science, Electronics, or a related discipline 2. 0–1 year of hands-on experience in C# programming and image processing technologies About Company: Engineering Services International (ESI) is an ISO-accredited engineering services company headquartered in Cochin, Kerala, with offices across India in Gujarat, Karnataka, Odisha, and Jamshedpur. Established in 1999, ESI serves major clients in the steel, cement, and aluminium sectors and aims to expand globally. We built and operate The Roboseum at Gujarat Science City, Ahmedabad, the world's largest robot-themed science centre. This unique project showcases innovations in humanoid, autonomous, and semi-autonomous robotics, including coordinated mobile robots, industrial automation, autonomous vehicles, and a fully automated robot cafe.

AI/ML Team Lead Job Summary: We are looking for an experienced AI/ML Engineer to lead our AI-driven projects and manage a team of engineers. The ideal candidate will have a strong background in artificial intelligence, machine learning, data science, and Python programming. As a Project Lead, you will be responsible for overseeing the development, implementation, and optimization of AI models, ensuring successful project execution, and guiding a team of AI/ML professionals. Key Responsibilities: • Lead AI/ML projects from ideation to deployment, ensuring timely delivery and quality output. • Manage and mentor a team of AI/ML engineers, fostering a culture of innovation and collaboration. • Design, develop, and optimize machine learning models, deep learning architectures, and data-driven solutions. • Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to define project requirements and deliverables. • Stay updated with the latest advancements in AI/ML, integrating relevant technologies and best practices. • Ensure scalability, efficiency, and reliability of AI models in production environments. • Develop and maintain technical documentation, reports, and presentations for both technical and non-technical audiences. • Conduct code reviews and enforce best coding practices for maintainable and efficient codebases. Required Skills & Qualifications: • Education: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • Experience: Minimum 5 years of hands-on experience in AI/ML, with at least 2 years in a leadership or project management role. • Technical Skills: o Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). o Strong understanding of supervised and unsupervised learning algorithms, deep learning, NLP, and computer vision. o Experience with data preprocessing, feature engineering, and model tuning. o Hands-on experience in deploying AI/ML models in production environments. o Knowledge of cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes). o Familiarity with big data technologies like Hadoop, Spark, or Databricks is a plus. AI/ML Team Lead • Leadership & Management Skills: o Proven experience in managing and mentoring AI/ML teams. o Ability to handle multiple projects and ensure alignment with business objectives. o Excellent problem-solving and decision-making skills. o Strong communication skills to convey complex AI concepts to non-technical stakeholders.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics