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SEI-Atlanta is hiring for the Data and Analytics Consultant role https://boards.greenhouse.io/seisandbox/jobs/4087465005

We are looking to hire for below positions at Ai India Innovations Centre, Pune. - *AI Architect* ( 12 + years deep exp in AI and real use on GEn AI architecture/development/delivery experience) - *AI Lead* : ( 8+ years experience in AI, with GEN AI development and delivery experience). We are seeking a highly skilled AI Engineer to join our dynamic team. The ideal candidate will have a strong background in Machine Learning, Deep Learning, Natural Language Processing, and experience with various AI frameworks and tools. This role requires hands-on experience in developing and deploying AI models, along with proficiency in programming and cloud technologies. *Key Responsibilities:* * Design, develop, and implement AI and machine learning models using supervised and unsupervised algorithms, including regression, classification, ensemble models, RNN, LSTM, and GRU. * Utilize deep learning algorithms and artificial neural networks to develop predictive and prescriptive analytics solutions. * Apply natural language processing (NLP) techniques for text analytics, document AI, OCR, sentiment analysis, entity recognition, and topic modeling. * Leverage LangChain and Open LLM frameworks for tasks such as summarization, classification, named entity recognition, and question answering. * Develop generative AI techniques, including prompt engineering and working with Vector DB, and various large language models (LLMs) like OpenAI, LlamaIndex, Azure OpenAI, and other open-source LLMs. * Gain hands-on experience with Generative AI technologies, including Retrieval-Augmented Generation (RAG) architecture, fine-tuning techniques, and inferencing frameworks. * Work with big data technologies and frameworks to manage and analyze large datasets. * Utilize Microsoft Azure for building and monitoring CI/CD pipelines, ensuring efficient and reliable deployment of AI models and applications. * Collaborate with cross-functional teams to understand business requirements and deliver AI solutions that meet organizational needs. * Stay updated with the latest advancements in AI and machine learning technologies, and implement best practices. *Qualifications:* * Strong proficiency in programming languages Python and SQL. * Minimum of +3 years of experience in predictive and prescriptive analytics, including machine learning and deep learning algorithms. * At least 2 years of experience in NLP, text analytics, document AI, OCR, sentiment analysis, entity recognition, and topic modeling. * 1+ years of experience in using LangChain and Open LLM frameworks for various NLP tasks. * Proficiency in generative AI techniques and tools, including prompt engineering, Vector DB, and large language models. * Hands-on experience with generative AI technologies such as RAG architecture, fine-tuning, and inferencing frameworks. * Familiarity with big data technologies and frameworks. * Sound knowledge of Microsoft Azure, particularly in building and monitoring CI/CD pipelines. * Excellent problem-solving skills and the ability to work independently and as part of a team. Interested candidates should submit their resume hr@aiindia.ai

OnDirect is hiring for below positions 1. Demand Generation Executives 2. Research Analyst 3. Market Research Executive Fresher Graduate and Undergraduates are welcome. Job Location: Pune Submit your CVs to hiring@ondirect.in

Company – Workassist Role – Cloud Data Engineer (AWS) Exp. – 1-9 yrs Apply Here – https://workassist.in/job-details/aws-data-engineer

Company – BharatPe Role – Data Scientist - GenAI Exp. – 1-2 yrs Apply Here – https://www.linkedin.com/jobs/view/3999657393

Company – EstateDekho Role – Machine Learning Specialist Exp. – 1+ yrs Apply Here – https://www.linkedin.com/jobs/view/3999659089

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Accenture is hiring! Position: Data Science Experience: Freshers/ Experienced https://www.accenture.com/in-en/careers/jobdetails?src=LINKEDINJP&id=R00221899_en

Machine Learning Study Plan: 2024 |-- Week 1: Introduction to Machine Learning | |-- ML Fundamentals | | |-- What is ML? | | |-- Types of ML | | |-- Supervised vs. Unsupervised Learning | |-- Setting up for ML | | |-- Python and Libraries | | |-- Jupyter Notebooks | | |-- Datasets | |-- First ML Project | | |-- Linear Regression | |-- Week 2: Intermediate ML Concepts | |-- Classification Algorithms | | |-- Logistic Regression | | |-- Decision Trees | |-- Model Evaluation | | |-- Accuracy, Precision, Recall, F1 Score | | |-- Confusion Matrix | |-- Clustering | | |-- K-Means | | |-- Hierarchical Clustering | |-- Week 3: Advanced ML Techniques | |-- Ensemble Methods | | |-- Random Forest | | |-- Gradient Boosting | | |-- Bagging and Boosting | |-- Dimensionality Reduction | | |-- PCA | | |-- t-SNE | | |-- Autoencoders | |-- SVM | | |-- SVM | | |-- Kernel Methods | |-- Week 4: Deep Learning | |-- Neural Networks | | |-- Introduction | | |-- Activation Functions | |-- (CNN) | | |-- Image Classification | | |-- Object Detection | | |-- Transfer Learning | |-- (RNN) | | |-- Time Series | | |-- NLP | |-- Week 5-8: Specialized ML Topics | |-- Reinforcement Learning | | |-- Markov Decision Processes (MDP) | | |-- Q-Learning | | |-- Policy Gradient | | |-- Deep Reinforcement Learning | |-- NLP and Text Analysis | | |-- Text Preprocessing | | |-- Named Entity Recognition | | |-- Text Classification | |-- Computer Vision | | |-- Image Processing | | |-- Object Detection | | |-- Image Generation | | |-- Style Transfer | |-- Week 9-11: Real-world App and Projects | |-- Capstone Project | | |-- Data Collection | | |-- Model Building | | |-- Evaluation and Optimization | | |-- Presentation | |-- Kaggle Competitions | | |-- Data Science Community | |-- Industry-based Projects | |-- Week 12: Post-Project Learning | |-- Model Deployment | | |-- Docker | | |-- Cloud Platforms (AWS, GCP, Azure) | |-- MLOps | | |-- Model Monitoring | | |-- Model Version Control | |-- Continuing Education | | |-- Advanced Topics | | |-- Research Papers | | |-- New Dev | |-- Resources and Community | |-- Online Courses (Coursera, 365datascience) | |-- Books (ISLR, Introduction to ML with Python) | |-- Data Science Blogs and Podcasts | |-- GitHub Repo | |-- Data Science Communities (Kaggle) Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624 Credits: https://t.me/datasciencefun Like if you need similar content 😄👍 ENJOY LEARNING 👍👍

Check out this job at McKinsey & Company: https://www.linkedin.com/jobs/view/3918419227

Granicus is hiring Data Scientist About the Role: We're looking for candidates who have: * 4-7 years of experience in data science, machine learning, or a relevant field. * Proficiency in Python and extensive experience with libraries such as TensorFlow, PyTorch, and Scikit-learn. * A proven track record of delivering production-ready AI/ML solutions. * Strong expertise in machine learning and deep learning algorithms and techniques. * Proficiency in data manipulation, analysis, and visualization using Python libraries (e.g., Pandas, NumPy, Matplotlib). * Experience with cloud platforms and big data technologies (e.g., AWS). * Experience with Generative AI Apply here: https://jobs.lever.co/granicus/6a7ee63e-0ff4-40b7-8a3c-7a32a115147c

Support Star Corporate Services Pvt Ltd Hiring for Data Engineer.(Kindly Share who have 7+ years of exp only ) Skills - PySpark & Azure Databricks Python And SQL Exp - 7 to 12 Years Work Location - Bangalore Work Mode - Hybrid Please share profiles at jasneet@supportstar.in || jasneet.sscs@gmail.com

Brillio is hiring for ML Engineer Expected Salary: 8-12 LPA Apply here: https://jobs.lever.co/brillio-2/390c2eaf-f820-461d-b119-388c0078afa5/

Company: Novartis Role: Expert Data Science Exp: 1-3 yrs Apply Now: https://www.novartis.com/careers/career-search/job/details/req-10012872-expert-data-science

Turing is hiring for Python Data Science Analyst- Remote Experience: 2 - 3 years Expected salary: 12 LPA - 20 LPA Apply Link: https://unstop.com/o/my8xn16?lb=8eEx09ow&utm_medium=Share&utm_source=shortUrl

Company: Amgen Role: Data Scientist Exp: 3-5 yrs Apply Now: https://careers.amgen.com/en/job/-/-/87/68581883200?src=Linkedin