5480 Deep Learning Jobs - Page 2

Position: Sr. AI/ML Engineer (OCR Solutions) Exp: 5+ years Location: Remote Salary: up to 40 LPA ~ Notice Period should be max. 1 month Key Responsibilities: Build and improve OCR solutions capable of handling diverse languages, scripts, and complex layouts. Train, fine-tune, and deploy machine learning models for text recognition across multiple languages and character sets , including low-resource languages. Evaluate & Improve Accuracy: Implement model evaluation metrics to continuously improve the accuracy and performance of OCR systems. 5Scaling OCR Solutions: Design scalable OCR models that can efficiently handle large volumes of data in real-time applications. Focus on optimizing model performance for both cloud-based and edge environments. Collaboration: Work with cross-functional teams, including product managers, software engineers, and UX designers, to integrate OCR functionality into products. Deployment & Scalability: Ensure that the OCR models are scalable and optimized for deployment in production environments (cloud and edge devices). Implement and manage CI/CD pipelines for smooth deployment. Requirements: Experience in AI/ML engineering with at least 3 years of experience in building OCR solutions. Expertise: Strong knowledge of OCR technologies, including Tesseract, EasyOCR, PaddleOCR, or custom deep learning-based OCR systems Languages: Experience with multiple languages and character sets (e.g., Latin, Cyrillic, Chinese, Japanese, Arabic, Devanagari, etc.) Deep Learning: Proficiency with machine learning frameworks like TensorFlow, PyTorch, Keras, or MXNet NLP Skills: Experience in natural language processing (NLP) techniques for post-processing OCR outputs. Programming Languages: Strong programming skills in Python and familiarity with ML libraries (scikit-learn, OpenCV, etc.). Proven experience in scaling AI/ML models for production environments and containerizing applications using Docker for easier deployment and scalability. Cloud & DevOps: Experience deploying OCR models in cloud environments (AWS, GCP, or Azure) and working with CI/CD pipelines. Preferred Qualifications: Experience with low-resource or less common languages. Familiarity with handwriting recognition and scene text recognition. Knowledge of transformer-based models like Vision Transformers (ViTs) or hybrid approaches. Experience with Docker, Kubernetes, and container orchestration for AI/ML model deployment. Contributions to open-source OCR projects

Position: Sr. AI/ML Engineer (OCR Solutions) Requirements: •Strong knowledge of OCR technologies, including Tesseract, EasyOCR, PaddleOCR or custom deep learning-based OCR systems. •Proficiency in frameworks like TensorFlow, PyTorch, Keras, or MXNet Required Candidate profile •5+ years in AI/ML engineering with 3 years of experience in building OCR solutions. •Familiarity with handwriting recognition and scene text recognition •Contributions to open-source OCR projects.

Job Title: AI/ML Engineer Experience: 4 To 8 Years Location: Bangalore Key Responsibilities Design, build, and optimize AI/ML solutions for enterprise applications. Develop Generative AI applications with workflows such as RAG Build and deploy AI agents using frameworks like LangGraph, Crew, or PydanticAI . Implement LLM integration and optimize Prompt Engineering workflows (Eg ., GPT, Claude, LLaMA). Collaborate with cross-functional teams to integrate AI solutions into production systems. Utilize Databricks, REST APIs, WebSockets, and event-driven architectures for scalable deployments. Ensure adherence to SDLC best practices, CI/CD pipelines (Jenkins), and Git-based workflows. Leverage AI-augmented development tools for rapid prototyping. Knowledge of enterprise security, compliance, and governance in AI systems. Familiarity with model lifecycle and code management best practices . Required Skills 35 years of experience in Machine Learning/Artificial Intelligent. Experience in Generative AI application development. Strong proficiency in Python and modern software development practices. Hands-on experience with LLMs and prompt engineering . Experience in cloud-native deployment strategies . Strong understanding of agile methodologies and collaborative development . Exposure to MLOps/LLMOps workflows and model monitoring .

JOB DESCRIPTION: Bachelors / Masters degree in Engineering, Applied Mathematics or related field Strong analytics skills: ability to assess data, drive insights, and make recommendations. Strong experience in manipulating data sets and building statistical models. Strong problem-solving skills with an emphasis on product development. Chemical engineers with APC/APM experience shall be added advantage Experience supporting fast-paced startup engineering teams In-depth understanding of the latest trends and developments in AI and ML, especially in generative models and LLM (both Cloud and OnPrem). Proficiency in programming languages & libraries o Cloud: AWS, Azure. o Languages: Advanced Python, pySpark o Framework: Lambda , Django, Express. o Database: Postgres, Mongo, ES Hands on experience in Design and development including Automated Unit testing (pyTest) with strong technical background to create performant & extendible applications Minimum 3 years of relevant experience in data science related product development Interested candidates share your updated Cv to the below mail Id. saloni_k@trigent.com

What We're Looking For Bachelors degree or final year students can also apply Good analytical and problem solving skills Good knowledge of Python and analytical tools/libraries Responsibilities Apply statistical methods and techniques to analyze data and derive meaningful insights. Conduct hypothesis testing, correlation analysis, and regression analysis using Pythons statistical libraries Create reports, dashboards, and data visualizations using tools like Tableau, Power BI, or Dash. Automate report generation and scheduling using Python scripts. Ensure the accuracy, completeness, and reliability of data through data validation and quality assurance processes. Identify and address data anomalies, errors, and inconsistencies. Collaborate with cross-functional teams including data engineers, business analysts, and stakeholders to understand business requirements and deliver actionable insights. Communicate analysis findings and recommendations effectively to technical and non-technical audiences.

We are currently seeking a AI Data Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job Title: Data Science & AIML, GenAI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain. #GenAI

Python Developer Job Description Template As a Senior Python Developer, you will be responsible for designing, developing, and maintaining efficient and reliable Python applications. You will work collaboratively with cross-functional teams to deliver high-quality software solutions, ensure code quality, and provide technical guidance to other team members. Responsibilities Design and develop robust, scalable Python applications Collaborate with cross-functional teams to define and implement software solutions Mentor and guide junior developers to ensure adherence to coding standards Participate in code reviews to maintain high-quality codebase Identify and resolve performance and scalability issues Contribute to continuous improvement of development processes and practices Qualifications Bachelor's degree in Computer Science, Engineering, or related field 3 To 5 years of professional Python development experience Experience skills with Python, AI, Ml & LLM. Proven track record of delivering high-quality software solutions Strong understanding of software architecture and design principles Experience with version control systems such as Git Excellent problem-solving and analytical skills Strong communication and teamwork abilities knowledge of AWS will be added advantage. Skills Python Django Flask RESTful APIs SQL and NoSQL databases Git Docker AWS Deep Learning Test-driven development (TDD) CI/CD pipelines LLM AI Ml

Design, develop deploy GenAI based scalable apps Work with deep learning frameworks- TensorFlow, PyTorch, Scikit-learn or Keras Optimize GenAI models for performance, scalability, real-time processing Work with GenAI - OpenAI/Gemini/Perplexity & Grok Required Candidate profile Min 5 yrs development exp & last 2+ yrs into GenAI based Development Exp in Python, JavaScript for GenAI based app development Exp in ML Ops for deployment Exp in eComm / Digital Commerce is preferred

Join Innodatas global Data Science team as an LLM Research Data Scientist and drive innovation in Multimodal Large Language Models and Agentic Workflows. In this position, you’ll contribute across the full LLM lifecycle, from data collection and post-training to evaluation and benchmarking. Collaborate closely with our data engineering teams to translate data into client-facing insights. Enjoy the freedom to publish scientific work and contribute to open-source initiatives. Key Responsibilities Analyze existing workflows and data pipelines to extract insights, identify areas of improvement, and propose recommendations. Collaborate with internal teams and clients to operationalize findings. Specialize in one of the following focus areas: oData: Collection, curation, and synthetic data creation oModeling: Multimodal post-training and agentic workflow creation oEvaluation: LLM and Agent benchmarking and performance analysis What We Look For Strong communication and collaboration skills across technical and non-technical audiences Ability to work autonomously, self-motivated, ambitious Client-facing mindset: active listening, clear articulation of findings and recommendations Willingness to help upskill teammates in data science and generative AI fundamentals Qualifications Master’s degree in Data Science, Computer Science or a related field 10+ years of experience in data science and client-facing roles High proficiency with AI tools (e.g., Copilots, GenAI platforms) and applying them to complex real-world use cases Expert-level Python skills, with deep familiarity with LLM frameworks for data manipulation, post training and evaluation

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key Skillsnatural language processing,BERT,GPT,LSTMs,machine learning,Data Science*

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key Skillsnatural language processing,lstm,machine learning,bert,gpm,deep learning,machine learning algorithms,algorithms,information extraction,python,tensorflow,keras,artificial intelligence,Data Science*

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key SkillsNLP,machine learning,bert,gpm,deep learning,text analytics,sentiment analysis,machine learning algorithms,information extraction,python,TensorFlow,keras,artificial intelligence,Data Science*

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key Skillsnatural language processing,machine learning,deep learning,text analytics,machine learning algorithms,information extraction,tensorflow,keras,artificial intelligence,Data Science*

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key Skillsnatural language processing,machine learning,deep learning,text analytics,sentiment analysis,machine learning algorithms,algorithms,information extraction,BERT,GPT,LSTM,NLP*

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 Mandatory Key Skillspython,deep learning,chatbot,machine learning,artificial intelligence,algorithms,natural language processing,tensorflow,data science,keras,computer vision,neural networks,opencv,django,image processing,r,data analytics,flask,AI chatbot solutions*

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. Mandatory Key Skillspython,deep learning,machine learning,artificial intelligence,algorithms,natural language processing,tensorflow,data science,keras,computer vision,neural networks,opencv,django,image processing,predictive modeling,r,data analytics,flask,Chatbot*

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skillsmachine learning,artificial intelligence,data science,python,deep learning,natural language processing,AI research,AI development*

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key SkillsAI-driven business models,innovation strategies,regulatory compliance,AI research,data science,AI adoption*

Role : Computer Vision Engineer/Sr. Engineer- (IVA/AI) Function: Software Development - IVA / Computer Vision Work Location : Vadodara, Gujarat Who are you You are a dynamic and solution driven Software Engineer specializing in Intelligent Video Analytics, with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. Experience : 2+ Years Qualification : B.E/B.tech/M.E/ M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE)or related field Technical Skills Required : Good experience of Deep Learning/Computer Vision projects. Working exposure with Neural networks, CNN i.e. Convolutional Neural Network (Design, Training, Inference). Experience building and optimizing libraries for fast computer vision Experience curating data, creating and optimizing models, and running experiments Expert knowledge of the principles, algorithms, and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc. Experience with one or more deep learning frameworks such as Tensorflow, PyTorch or Keras Experience porting and optimizing models and algorithms for different hardware platforms Superhuman thirst for learning including scouting for ideas and keeping up-to-date with advancements in the field Good to have skills : Good to have programming skills using Python and C++ Any exposure to projects like Object Detection/Motion Detection/Face Recognition is good to have. Experience working with multiple video streams for simultaneous integration into machine learning algorithms Experience optimizing deep learning models for embedded form factors. How your day might look like The Engineer- Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. This team partners with our hardware, software, and platforms teams to help bring our products and solutions to life. An ideal candidate for this role will lead in the creation of systems, algorithms, and optimizations for all things computer vision This includes leading and mentoring a team of engineers who help with different aspects of the task. Collaborate with the team to understand project requirements and objectives. Design and implement algorithms using C/C++, OpenCV, and TensorFlow. Integrate video analytics solutions with existing systems or platforms. Participate in design reviews and brainstorming sessions with cross-functional teams. Execute AI algorithms using various platform specific frameworks like TensorRT, TensorFlow Lite etc. Formulate program specifications and basic prototypes. Efficiently Develop PoC on Algorithms Performance Centric implementation practices. Implement low cost algorithm modules as per need. Troubleshoot issues and provide technical support during integration and deployment phases. Research new technologies and methodologies to enhance video analytics capabilities. Document your work, including writing code documentation or preparing technical reports. What we offer Opportunity to work for an Indian Tech Company creating incredible products for the world, right from India Be part of a challenging, encouraging, and rewarding environment to do the best work of your life Competitive salary and other benefits Generous leave schedule of 21 days in addition to 9 public holidays, including holiday adjustments to convert weekends into long weekends 5-day workweek with 8 flexi-days months, allowing you to take care of responsibilities at home and work Company-paid Medical Insurance for the whole family (Employee+Spouse+Kids+Parents). Company paid Accident Insurance for the Employee On-premise meals, subsidized by the company

Required Skills & Qualifications: 5+ years of experience as a Data Scientist or ML Engineer, working on real-world AI/ML projects. Strong expertise in Machine Learning, Deep Learning, NLP, and Computer Vision techniques. Hands-on experience with Generative AI models (LLMs, VLMs, MLLMs), and an understanding of multi-modal neural networks and Transformer architectures. Proficiency in Python, R, and key ML/DL libraries (Scikit-learn, Pandas, TensorFlow, PyTorch, etc.). Strong knowledge of SQL-based and NoSQL databases (MySQL, PostgreSQL, Oracle, MongoDB). Experience with statistical tools and platforms like WEKA, KNIME, Power BI, etc. Working experience with Big Data technologies HDFS, Spark, Hive, Sqoop, MapReduce. Good understanding of cloud platforms (AWS, Azure, or GCP) – any hands-on experience is a plus. Excellent analytical, problem-solving, and communication skills. Domain experience in Automotive, Manufacturing, E-commerce, Aviation, or Digital Platforms is highly desirable. Ability to work both independently and within a team setting with a proactive mindset. Preferred Qualifications: Education: A bachelor's degree in computer science, computer engineering, information technology, or a related field is typically the minimum requirement. Preferred a master's degree in data science, or a related field for advanced roles. Experience: Data Scientist requires 5+ years of experience in related fields such as database administration, data engineering, programming

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key Skillsnatural language processing,machine learning,deep learning,text analytics,sentiment analysis,machine learning algorithms,algorithms,information extraction,python,data science,tensorflow,keras,artificial intelligence,NLP modelling*

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skillsmachine learning,data science,deep learning,natural language processing,predictive modeling,data analytics,predictive analytics,Artificial intelligence*

Key Responsibilities:Provide strategic guidance on AI adoption, ethics, and governance within the organization.Advise on AI-driven business models, innovation strategies, and regulatory compliance.Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth.Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning.Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skillsmachine learning,artificial intelligence,data science,AI research,AI development,AI adoption*

Hello, Urgent job openings for Data Science(Gen AI & LLM) :- Data Science : Team Lead/ Senior Data Scientist @ GlobalData(Hyd) Looking for candidates with experience in Gen AI, LLM, RAG frameworks Job Description given below please go through to understand the requirement. if requirement is matching to your profile share your updated resume @ mail id (m.salim@globaldata.com). Mention Subject Line :- Applying for Data Science(Gen AI/LLM) - Lead/SSE @ GlobalData(Hyd) Share your details in the mail :- Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Current CTC : Expected CTC : Notice Period : Current Location/willing to relocate to Hyd? : Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana-500081. Job Description: Senior Engineer/Lead - Gen AI/LLM Position Overview:- We are seeking a talented Lead/Senior Engineer AI/LLM Developer to join our team and drive the development of cutting-edge artificial intelligence solutions using large language models. In this role, you will design, build, and optimize LLM-based applications that solve complex business problems while maintaining high standards of performance, scalability, and reliability. Key Responsibilities:- Design and implement sophisticated AI applications leveraging state-of-the-art LLM technologies Develop efficient solutions for LLM integration, fine-tuning, and deployment Optimize model performance, latency, and resource utilization Build and maintain robust data pipelines for training and inference Implement advanced prompt engineering techniques and retrieval-augmented generation (RAG) Develop evaluation frameworks to measure AI system performance and output quality Collaborate with cross-functional teams to understand requirements and deliver solutions Mentor junior developers and share AI/LLM knowledge across the organization Participate in code reviews and ensure adherence to best practices Role Requirement :- 5+ years of software development experience with at least 3 years focused on AI/ML technologies Strong experience working with transformer-based models and LLM APIs Proficiency in Python and relevant AI/ML frameworks (PyTorch, TensorFlow, Hugging Face) Experience with vector databases and semantic search technologies Solid understanding of prompt engineering, RAG, and fine-tuning techniques Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment Strong problem-solving skills and attention to detail.' Experience with LLM optimization techniques like quantization and distillation Knowledge of AI evaluation metrics and benchmarking methodologies Understanding of multimodal AI systems (text, image, audio) Experience with containerization and orchestration tools (Docker, Kubernetes) Contributions to open-source AI projects or research publications Familiarity with AI ethics and responsible AI development Qualifications:- Bachelors degree in computer science, AI, Machine Learning, or related field Master's in AI, B,Tech,MCA, or related field Thanks & Regards, Salim (Human Resources)

About the Role: We are seeking a passionate and skilled AI/ML Engineer to join our team and lead the development of a smart passenger counting system for public transport using camera-based detection, face recognition, and re-identification (Re-ID) techniques. You will design and deploy models that detect, track, and identify passengers to provide accurate in/out counts while preventing duplicate recognition. Key Responsibilities: Develop computer vision models for real-time passenger detection and tracking on moving buses. Implement face detection, facial feature extraction, and re-identification algorithms to count passengers without double-counting. Optimize models for edge devices (e.g., Jetson Nano, Raspberry Pi + Coral TPU, etc.). Train and fine-tune custom datasets for face recognition and Re-ID under varying lighting and motion conditions. Work with hardware and software teams to integrate your solutions into an onboard system (camera, processor, storage). Build privacy-compliant data pipelines and anonymization logic for onboard or cloud processing. Benchmark and evaluate model performance (FPS, accuracy, latency, power usage). Collaborate with frontend/backend engineers to feed analytics into dashboards or APIs. Must-Have Skills: Strong background in Computer Vision, Deep Learning, and Machine Learning. Proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, or ONNX. Experience with OpenCV, face detection libraries (e.g., MTCNN, Dlib, FaceNet), and object tracking (SORT/Deep SORT/ByteTrack). Knowledge of face re-identification and metric learning (Siamese/Triplet networks). Experience deploying models on edge devices (Jetson, Pi, Coral TPU, etc.). Understanding of data privacy and GDPR compliance in facial recognition systems. Nice to Have: Experience with YOLO, ByteTrack, MMDetection, DeepStream SDK, or GStreamer. Hands-on with video analytics, RTSP streaming, and camera sensor calibration. Knowledge of hardware interfacing, embedded Linux, or IoT deployments. Familiarity with passenger flow analytics, transportation systems, or smart surveillance solutions. Qualifications: Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or related field. 2+ years of hands-on experience in building and deploying AI-powered vision systems. Strong analytical, debugging, and communication skills. What We Offer: Opportunity to work on cutting-edge smart transportation solutions. Competitive salary and flexible working hours. Cross-functional collaboration in a growing tech-driven environment. Freedom to innovate and bring your ideas into production.