Bhargav Jagtap’s Post

Hello LinkedIn Network! 👋 I am a Machine Learning Engineer with a strong interest in data and over 2 years of experience in the tech industry. 🖥️💡 I have a specialized skill set in Natural Language Processing (NLP) and am proficient in using Machine Learning tools such as Pytorch, Keras, Tensorflow, and Scikit-learn. Besides, I am also skilled in backend development, data visualization, and data management. Recently, I've been deepening my understanding at the Sarah Academy, honing my data science skills, SQL, Tableau, and further enhancing my Python abilities. 📚📈 I am starting my LinkedIn journey to connect with like-minded professionals, share insights, and explore opportunities to apply my skills while learning more. Excited to learn, grow, and build meaningful connections here!🤝 #JobSeeker #DataScience #MachineLearningEngineer #NLP #ContinuousLearning #ProfessionalGrowth

Data Scientist Job Market in 2024: What Skills Are in Demand? The 2024 data science job market

New Team Member at ConSol - Andrew Jones - The AI/ML specialist Candidates please reach out if your looking for new opportunities across Europe in the AI/ML space. OR... if you're a hiring manager looking to build out any teams or make key hires around : AI/ML, Data Science, Deep Learning Natural Language Processing (NLP) Reinforcement Learning (RL) Generative Adversarial Networks (GANs) AutoML (Automated Machine Learning) Explainable AI (XAI) Federated Learning Edge AI Projects in: Supervised Learning Unsupervised Learning Semi-supervised Learning Transfer Learning Online Learning Anomaly Detection Model Interpretability and Explainability Technologies used: Programming Languages: Python, R Development Environments: Jupyter Notebooks, Integrated Development Environments (IDEs) like PyCharm, Visual Studio Code Machine Learning Libraries: scikit-learn, TensorFlow, PyTorch, Keras Data Visualization Tools: Matplotlib, Seaborn, Plotly Data Processing and Analysis Tools: Pandas, NumPy Model Deployment and Serving: Flask, Django, TensorFlow Serving, FastAPI Cloud Platforms and Services: Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure #MachineLearningjobs #PyTorch #DeepLearning #DataScience

Data Scientist Job Market in 2024: What Skills Are in Demand? The 2024 data science job market Reflects a strong demand for technical expertise, particularly in machine learning (ML), natural language processing (NLP), and cloud computing. ML skills, including proficiency in frameworks such as PyTorch and TensorFlow, are highlighted in over 69% of job postings. There is also a growing emphasis on AI competencies, with a notable increase in NLP and deep learning requirements. Companies prioritise specialized skills in areas like data engineering and advanced analytics, often seeking professionals capable of developing and deploying complex AI models. As data-driven decision-making becomes more integrated into business strategies, data scientists with a solid foundation in programming languages (Python, R, SQL) and big data tools (Apache Spark, Hadoop) are highly valued. The trend towards specialization over generalization underscores the need for continuous upskilling in this rapidly evolving field. #DataScience #MachineLearning #NLP #CloudComputing #AI #BigData #NexmoveJobs

🚀 Data Scientists, Let's Connect! 🚀 I'm expanding my network and looking to connect with more professionals in the field. 🌟 Roles are Hybrid in Windsor Mill, Maryland. 🌟 If you have at least 8 years of experience as a Data Scientist, let's discuss opportunities. 💼 Ideal candidates will have experience with IBM AI Fairness 360 (AIF360) – preference; Machine Learning (ML); Natural Language Processing (NLP); spaCy and NLTK, as well as language models like BERT and RoBERTa. Knowledge of TensorFlow, PyTorch, scikit-learn, NLTK, Azure ML (optional), and Amazon Web Services EC2 is desired. 🔗 Connect with me to explore new opportunities! #DataScientist #MachineLearning #NLP #IBMAIF360 #spaCy #NLTK #BERT #RoBERTa #TensorFlow #PyTorch #ScikitLearn #AzureML #AWS #ITJobs #Networking #OnsiteRoles #TechCareers #WindsorMill #Maryland

#Hiring Alert 👩💻 ODIO is looking for below profile : 👨🎓 👩🎓 B.Tech/B.E is must. 🔹 Data Scientist : 3 - 5 Years #Experience #Required_Skills - Machine Learning, Deep Learning, NLP, LLM, Generative AI. #Location - #Gurugram Share your resume at preeti.rai@ezeiatech.com. If have any #referral kindly comment. #ML #LLM #NLP #datascientist #generativeAI #deeplearning #llm

#hiring - Experienced AI consultant or #IT Company to help us harness the power of AI. .Let's connect if you're ready to innovate and drive our AI projects forward!#AI #MachineLearning #AIConsultant #TechInnovation #Hiring #AI #MachineLearning #AIConsultant #TechInnovation #ArtificialIntelligence #DataScience #DeepLearning #NLP #BigData #Analytics #Hiring #DataAnalytics #AIExpert #TechJobs #Innovation #Python #DataEngineer #AIProjects #TechCareers #Consulting

⭐ Machine Learning Engineer Seeking New Opportunities ⭐ As a passionate Machine Learning Engineer with a solid Artificial Intelligence and Data Science foundation, I’m actively looking for a role where I can contribute my skills, determination, and problem-solving mindset. 📌 Key Expertise: - Machine Learning: Computer Vision, Facial Recognition Systems, Hyperspectral Image Analysis - NLP: Fine-tuning Large Language Models (LLMs), Sentiment Analysis, Language Translation Models - Advanced Techniques: Retrieval-Augmented Generation (RAG), Data Augmentation, Synthetic Data Generation using OpenAI APIs - Programming: Python, PostgreSQL, and tools like Visual Studio Code, Jupyter, and Google Colab - Skilled in crafting precise and effective prompts to optimize AI model performance I have hands-on experience developing face recognition systems, building automated report generation solutions, and integrating genre-specific advertisements into media content using multimodal machine learning models. What sets me apart is my ability to think critically and approach complex challenges from different angles. Whether it’s fine-tuning LLMs or creating innovative solutions for media content, I thrive on finding the right answers. I'm constantly learning and staying updated on the latest advancements in AI. I’m excited to apply my knowledge and expertise to solve real-world problems in AI and machine learning. I’m always eager to connect with professionals in the AI and machine learning space and would appreciate any leads or introductions to new opportunities. Your support means a lot during this challenging time. 🙌 #OpenToWork #MachineLearning #AI #DataScience #ArtificialIntelligence #Hiring #ML #NLP #ComputerVision #JobSearch

📢#hiring - Senior #machinelearningengineer #torontojobs - #hybridworking | #contractstaffing #contractrole *Must be a PR or Citizen to apply for the role* Position: Senior Machine Learning Engineer Location: #toronto, ON - Hybrid Duration: 253 Workdays #contract Deadline: March 28, 2024 Must have: ✅Deep Understanding of Machine Learning Concepts: Proficiency in fundamental machine learning concepts, algorithms, and techniques. ✅Expertise in Natural Language Processing (NLP): Knowledge of NLP techniques and models, especially BERT and other transformer-based models, for tasks like text classification, sentiment analysis, and language understanding. ✅Experience with Deep Learning Frameworks: Proficiency in deep learning libraries such as TensorFlow or PyTorch. Experience with implementing, training, and fine-tuning BERT models using these frameworks is crucial. ✅Data Preprocessing Skills: Ability to perform text preprocessing, tokenization, and understanding of word embeddings. ✅Programming Skills: Strong programming skills in Python, including experience with libraries like NumPy, Pandas, and Scikit-learn. ✅Model Optimization and Tuning: Skills in optimizing model performance through hyperparameter tuning and understanding of trade-offs between model complexity and performance. ✅Understanding of Transfer Learning: Knowledge of how to leverage pre-trained models like BERT for specific tasks and adapt them to custom datasets. Apply here: https://lnkd.in/dCp6M-dE

💡 Data Scientist vs Data Analyst vs AI Engineer: What's the Difference? As the demand for data-driven decision-making continues to rise, understanding the roles of a Data Scientist, Data Analyst, and AI Engineer is crucial. This infographic clearly outlines the key responsibilities and skills that differentiate these roles: 🔬 Data Scientist Focus on machine learning, statistical modeling, and programming (Python/R). Their primary goal is to derive insights from complex data and build predictive models. Key skills: Data Wrangling, Programming, Visualization. 📊 Data Analyst Specializes in data cleaning, descriptive statistics, and business intelligence tools like Tableau and Power BI. Analysts focus on interpreting data to generate actionable insights and support decision-making processes. Key skills: SQL, Dashboarding, Statistical Analysis. 🤖 AI Engineer Focus on building AI solutions, developing algorithms, and working on deep learning and NLP. AI Engineers work to deploy cutting-edge technology in real-world applications. Key skills: Natural Language Processing (NLP), Computer Vision, Software Engineering. This visual guide highlights the overlapping and distinct skills among these data-centric roles. Whether you're exploring a new career path or looking to upskill, understanding these distinctions is key! #DataScience #AI #MachineLearning #DataAnalysis #ArtificialIntelligence #CareerGrowth #BigData #TechCareers #Python #DeepLearning