Intello Group, Inc.’s Post

Hello LinkedIn Connections!!! We are hiring Python Developer Profile : Python Developer Experience : 5-8 years Location : Remote Job Description : Python Programming: Proficiency in Python, Working with libraries like TensorFlow, PyTorch,Transformers,NLTK,Pandas,sklearn, and other related libraries used in NLP tasks and finetuning language models. Experience with building comperehnsive python modules for NLP tasks like tokenization, word embeddings,classifications etc… Proficiency in data preprocessing techniques such as text cleaning, tokenization, normalization,handling of special characters is essential for preparing data for finetuning language models. Knowledge of machine learning concepts like neural networks, optimization algorithms, model evaluation techniques.  Deep learning expertise w.r.t NLP Expertise on adapting pre-trained langugae models to specific tasks and domains Experience with hyperparameter tuning methods such as grid search, random search, or Bayesian optimization for optimizing model performance during finetuning. Experience in financial lending domain customer onboarding, loan servicing, collections. Experise with tools and frameworks for handling large datasets. Ability to evaluate model performance using appropriate metrics and interpret model predictions  Awareness of ethical considerations related to language models, such as bias mitigation, privacy preservation, and responsible AI practices Ability to work with existing customer systems. Interested Candidates share your Resume on : [email protected] #PythonDeveloper #RemoteJob #NLP #MachineLearning #DeepLearning #DataPreprocessing #TensorFlow #PyTorch #Transformers #NLTK #Pandas #ScikitLearn #NeuralNetworks #OptimizationAlgorithms #ModelEvaluation #HyperparameterTuning #FinancialLending #CustomerOnboarding #LoanServicing #Collections #LargeDatasets #ModelPerformance #EthicalAI #ResponsibleAI #JobOpening

Hello LinkedIn Connections!!! We are hiring Python Developer Profile : Python Developer Experience : 5-8 years Location : Remote Job Description : Python Programming: Proficiency in Python, Working with libraries like TensorFlow, PyTorch,Transformers,NLTK,Pandas,sklearn, and other related libraries used in NLP tasks and finetuning language models. Experience with building comperehnsive python modules for NLP tasks like tokenization, word embeddings,classifications etc… Proficiency in data preprocessing techniques such as text cleaning, tokenization, normalization,handling of special characters is essential for preparing data for finetuning language models. Knowledge of machine learning concepts like neural networks, optimization algorithms, model evaluation techniques.  Deep learning expertise w.r.t NLP Expertise on adapting pre-trained langugae models to specific tasks and domains Experience with hyperparameter tuning methods such as grid search, random search, or Bayesian optimization for optimizing model performance during finetuning. Experience in financial lending domain customer onboarding, loan servicing, collections. Experise with tools and frameworks for handling large datasets. Ability to evaluate model performance using appropriate metrics and interpret model predictions  Awareness of ethical considerations related to language models, such as bias mitigation, privacy preservation, and responsible AI practices Ability to work with existing customer systems. Interested Candidates share your Resume on : [email protected] #PythonDeveloper #RemoteJob #NLP #MachineLearning #DeepLearning #DataPreprocessing #TensorFlow #PyTorch #Transformers #NLTK #Pandas #ScikitLearn #NeuralNetworks #OptimizationAlgorithms #ModelEvaluation #HyperparameterTuning #FinancialLending #CustomerOnboarding #LoanServicing #Collections #LargeDatasets #ModelPerformance #EthicalAI #ResponsibleAI #JobOpening

🎯 What we are looking for: We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will play a pivotal role in developing and implementing machine learning solutions to address complex problems and enhance our products. Your expertise in programming, data processing, and machine learning frameworks will be critical in driving innovation and delivering high-quality AI models. 🔥Key Responsibilities: 1️⃣ Develop and implement machine learning solutions in Python and C . 2️⃣ Apply various machine learning algorithms to solve real-world problems. 3️⃣ Utilize TensorFlow, Keras, PyTorch, and Scikit-learn to build and optimize models. 4️⃣ Master data processing with Numpy, Pandas, and Dask for efficient data manipulation. 5️⃣ Create data visualizations with Matplotlib for insightful model evaluation. 6️⃣ Apply mathematics (probability, statistics, calculus, linear algebra) for model optimization. 7️⃣ Understand and apply various AI models (e.g., Regression, Classification, KNN, Naive Bayes) effectively. 📑Qualifications We are looking for: 1️⃣ around 1 years of working experience in the ML/AI engineer field. 2️⃣ Proficient in Python and C . 3️⃣ Working knowledge of TensorFlow, Keras, PyTorch, and Scikit-learn. 4️⃣ Skilled in Numpy, Pandas, and Dask for data processing. 5️⃣ Competent with Matplotlib for data visualization. 6️⃣ Strong grasp of fundamental mathematics (probability, statistics, calculus, linear algebra). 7️⃣ Familiarity with various AI models (Regression, Classification, KNN, Naive Bayes). 8️⃣ Proficiency in machine learning algorithms and frameworks (KNN, Linear Regression, Naive Bayes, Keras, PyTorch). 📑Employment Type: 1. Full-Time (8 Hours a Day, 5 Days of the Week) [we won't track your time, we only care about your contribution] 2. The First 3 months will be counted as a probation period. (if you can prove yourself in the first month, then we’ll not wait 3 months for sure) 📑Salary: 💵35,000 - 45,000 BDT. [we will value your talent, no worries] 🗓️ During the probation period, you will only receive your salary; after probation, you will receive other benefits. 🗺️ Job Location: Remote (Meaning You can do this job from anywhere) 🎁Exciting parks waiting you: 🎉 2 festival bonuses a year 💪 1 performance-based bonus 🌎 Team tours and remote meals 🔍 Annual salary review 🩺 Healthcare package 🎂 Birthday surprise 🎆 New Year's gift 🍼 New parent surprise 🌴 Unlimited leaves (honesty expected) 📚 Paid courses for learning 💻 After the 3-months probation period, you will be given 2,000 taka for internet and device bills every month, from the very beginning we will provide you with professional headphone and camera. 🔗Apply by following this link:  https://lnkd.in/geRfUDUB 🗓️ Application Deadline: Oct 31

If I was hiring an AI Engineer position here is what I would look for in an ideal candidate: - Strong knowledge of Python & OOP - Able to work with Pandas to manipulate data from various sources and produce train, validation, test set splits using off-the-shelf libraries - Can identify basic data leakage issues - Proficient in Linux and terminal usage - Able to write unit and integration tests and apply mocking - Experience with version control, branching, pull requests, code review in a team setting - Ability to configure Github Actions / Azure Dev Ops pipelines to perform automated testing and deployment - Ability to leverage Docker to containerize applications and dependencies - Able to leverage off-the-shelf machine learning frameworks (scikit-learn, HuggingFace Transformers) to train models for common AI/ML tasks - Working knowledge of which metrics apply to which tasks - Ability to work with the OpenAI API in Python and write basic code structure for handling message formatting, conversation loops, function calling - Able to apply the concepts of templating (Jinja2), unit/integration testing, and mocking to Large Language Model Applications - Able to build demo UIs for AI applications using Gradio - Learn how to leverage Large Language Models for traditional ML tasks such as classification, regression, & text generation and how to adapt LLM solutions such that their performance can be measured with common ML metrics - Articulate the pitfalls of utilizing text metrics such as edit distance, ROUGE, & BLEU - Be able to apply in-context learning to solve problems with large language models - Able to utilize frameworks such as Axolotl to adapt pre-trained large language models using continued pretraining, LoRA, & QLoRa - Able to estimate GPU memory requirements for training LLMs based on token count and parameters - Able to code a basic training loop using PyTorch utilizing autograd to solve - Able to use HuggingFace transformers to leverage the ecosystem of existing pretrained LLMs and architectures and adapt them to new tasks either via continue pretraining, LoRA, & QLoRa but also via transfer learning

LDAPP SOLUTIONS (Lab of Digital Apps) is looking for immediate joiners who are willing to work in growing startups Requirements: AI - Deep learning with Pose Estimation Experience : 2 to 5 years Job description: Model Development: Design, develop, and fine-tune machine learning models using Python libraries (e.g., scikit-learn, TensorFlow, PyTorch). Deep Learning Architectures: Implement and train deep learning models for complex tasks like image recognition, natural language processing, or time-series forecasting. Pose Estimation: Develop and refine pose estimation models using deep learning techniques, leveraging frameworks such as OpenPose, MediaPipe, or custom solutions. Data Preparation: Collect, preprocess, and augment datasets for training and evaluating machine learning and deep learning models. Feature Engineering: Perform feature extraction and selection to enhance model performance and interpretability. Model Evaluation: Evaluate model performance using appropriate metrics (accuracy, precision, recall, etc.) and fine-tune hyperparameters. Deployment: Deploy models into production environments, ensuring scalability and performance, using tools like Docker and Kubernetes. API Development: Develop and maintain APIs for integrating machine learning models with applications. Performance Optimization: Optimize model performance and efficiency, including speed and memory usage. Documentation: Document model architecture, training procedures, and performance evaluations for reproducibility and collaboration. Collaboration: Work with data engineers, software developers, and domain experts to align machine learning solutions with business requirements. Continuous Learning: Stay updated with the latest advancements in machine learning, deep learning, and pose estimation technologies. Testing and Validation: Conduct rigorous testing and validation of models to ensure robustness and reliability in diverse scenarios. Data Visualization: Create visualizations to communicate model results, insights, and impact to stakeholders. Ethics and Compliance: Ensure models adhere to ethical guidelines and compliance standards, particularly regarding data privacy and fairness. candidates share your updated CV/Resume to [email protected] #experience #java #requirements #reactjs #urgentrequirements #nodejs #ai #immediatejoiners #hiring #poseestimation

𝐖𝐞 𝐚𝐫𝐞 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫: Machine Learning Engineer to join our dynamic team. 🔥𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: 1️⃣ Develop and implement machine learning solutions in Python and C . 2️⃣ Apply various machine learning algorithms to solve real-world problems. 3️⃣ Utilize TensorFlow, Keras, PyTorch, and Scikit-learn to build and optimize models. 4️⃣ Master data processing with Numpy, Pandas, and Dask for efficient data manipulation. 5️⃣ Create data visualizations with Matplotlib for insightful model evaluation. 6️⃣ Apply mathematics (probability, statistics, calculus, linear algebra) for model optimization. 7️⃣ Understand and apply various AI models (e.g., Regression, Classification, KNN, Naive Bayes) effectively. 🔑 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬: 1️⃣ Around 2 to 5 years of working experience in the ML/AI engineer field. 2️⃣ Proficient in Python 3️⃣ Working knowledge of TensorFlow, Keras, PyTorch, and Scikit-learn. 4️⃣ Skilled in Numpy, Pandas, and Dask for data processing. 5️⃣ Competent with Matplotlib for data visualization. 6️⃣ Strong grasp of fundamental mathematics (probability, statistics, calculus, linear algebra). 7️⃣ Familiarity with various AI models (Regression, Classification, KNN, Naive Bayes). 8️⃣ Proficiency in machine learning algorithms and frameworks (KNN, Linear Regression, Naive Bayes, Keras, PyTorch). 📄𝐄𝐦𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐭𝐲𝐩𝐞: 1. Full-Time (8 Hours a Day, 5 Days of the Week) [we won't track your time, we only care about your contribution] 2. Part time (4 hours a day, 5 days of the week) [ evening hours 7-11 pm] 3. The First 3 months will be counted as a probation period. (if you can prove yourself in the first month, then we’ll not wait 3 months for sure) 💵 𝐒𝐚𝐥𝐚𝐫𝐲: (Depending on Skill and Experience) 💵 Full time (45K-100K), Part-time (25-50K). Salary is Negotiable. 🗓️ During the probation period, you will only receive your salary; after probation, 🗺️ 𝐉𝐨𝐛 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Remote (Meaning You can do this job from anywhere) 🎁 𝐄𝐱𝐜𝐢𝐭𝐢𝐧𝐠 𝐏𝐞𝐫𝐤𝐬 𝐀𝐰𝐚𝐢𝐭𝐢𝐧𝐠 𝐘𝐨𝐮: 🎉 2 festival bonuses a year 💪 1 performance-based bonus 🌎 Team tours and remote meals 🔍 Annual salary review 🩺 Healthcare package 🎂 Birthday surprise 🎆 New Year's gift 🍼 New parent surprise 🌴 Unlimited leaves (honesty expected) 📚 Paid courses for learning 💻 After the 3-months probation period, you will be given 2,000 taka for internet and device bills every month, from the very beginning we will provide you with professional headphone and camera. 📆𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐃𝐞𝐚𝐝𝐥𝐢𝐧𝐞: april 4, 2024 🔗𝐀𝐩𝐩𝐥𝐲 𝐛𝐲 𝐟𝐨𝐥𝐥𝐨𝐰𝐢𝐧𝐠 𝐭𝐡𝐢𝐬 𝐥𝐢𝐧𝐤: https://lnkd.in/g92PaWWN #newjobs #ml #ai #machinelearning #MLEngineer #remotejobs #workfromhome #newhiring

Looking for Search Specialist: Immediate to <= 1 month joiner. TechStack: HTML, CSS, Java Script, jQuery(Good to have), Java, XPATH, XML, Regular Expressions (Regex), Mustache Templates, Bootstrap, Search engine expertise. Role: The role of a Search Engineer typically involves designing, developing, and maintaining search systems and algorithms to improve the search experience for users within a specific platform or application. Below is a detailed description of the responsibilities and qualifications associated with this role:   Responsibilities:  Design and Development: Designing, developing, and implementing search algorithms, data structures, and ranking systems to improve the relevance and performance of search results.   System Architecture: Architecting and scaling search infrastructure to handle large volumes of data and user queries efficiently. This may involve working with distributed systems,  cloud services, and big data technologies.   Algorithm Optimization: Optimizing search algorithms for speed, accuracy, and scalability. This includes tuning parameters, improving indexing techniques,  and implementing caching strategies.   Data Processing: Processing and analyzing large datasets to extract insights and improve search relevance. This may involve data preprocessing, natural language processing (NLP),  machine learning, and information retrieval techniques.   Search Quality Evaluation: Evaluating the quality and relevance of search results through metrics, user feedback, and relevance judgments.  Identifying areas for improvement and iterating on search algorithms to enhance the overall search experience.   Search Infrastructure Maintenance: Monitoring and maintaining search infrastructure to ensure reliability, availability, and performance. Troubleshooting issues,  optimizing system performance, and implementing robust monitoring and alerting systems.   Cross-functional Collaboration: Collaborating with cross-functional teams such as product management, user experience design, software engineering,  and data science to understand user needs, prioritize features, and deliver impactful search solutions.   Research and Innovation: Staying abreast of latest research in search technology, information retrieval, and related fields. Experimenting with new algorithms,  techniques, and technologies to push the boundaries of search capabilities and drive innovation.