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📢📢 :: WE ARE HIRING :: 📢📢 Role: GenAI Engineer Location: Irving TX  (Onsite)(Hybrid) Position : W2  Visa : USC,GC,EAD Please reach me at salman@teksky.com Skills Required:   Job Description: As a GenAI Engineer with a focus on Python, you will play a pivotal role in researching, designing, and developing cutting-edge general artificial intelligence systems that possess the ability to understand, learn, and adapt to various tasks and environments. You will leverage your expertise in Python programming, machine learning, and AI technologies to drive the creation of intelligent and adaptive AI solutions. Responsibilities: AI solution development: Design and develop AI-based solutions using Python, machine learning algorithms, and natural language processing (NLP) to address complex business challenges and enhance operational efficiencies. Algorithm design and implementation: Design and implement machine learning algorithms and cognitive models using Python to enable general artificial intelligence systems to learn and adapt in diverse and complex scenarios. Cognitive reasoning and decision-making: Develop AI systems capable of cognitive reasoning, context-aware decision-making, and adaptive problem-solving using Python-based AI frameworks. Performance monitoring and enhancement: Monitor the performance of AI systems, analyze results, and implement enhancements to improve accuracy, efficiency, and scalability. Collaboration and innovation: Collaborate with cross-functional teams, including AI researchers, data scientists, and software engineers, to drive innovation and integrate cutting-edge AI solutions into real-world applications. Requirements: Python programming: Proficiency in Python programming with a strong understanding of relevant libraries and frameworks for AI development, such as TensorFlow, Keras, scikit-learn, and pandas. AI and machine learning expertise: In-depth knowledge and practical experience in machine learning, neural networks, and cognitive computing for the development of general artificial intelligence systems using Python. Cognitive modeling: Strong understanding of cognitive modeling, reasoning, and decision-making processes in AI systems, with a focus on creating adaptive and autonomous intelligence using Python-based frameworks. Research mindset: A passion for exploring and pushing the boundaries of AI research, with a commitment to staying updated on the latest advancements in the field. Collaboration and communication: Excellent collaboration and communication skills, with the ability to work effectively in cross-functional teams and articulate complex AI concepts to diverse audiences. #Fulltime #GC #USC #GenAI

#Immediate Requirement #New Opening Role: Machine Learning Engineer Exp 6+years IST Timezone Remote Job JD: 1. Has the candidate worked in LLMs, RAGs and GenAI in general? If so, what is their understanding level in it, as in are they aware of different types of searches and parameters that can affect retrieval and generation or they know RAGs just from tutorials? 2. Is the candidate aware of how transformer based Language models work and how do transformers differ from earlier models like RNNs and LSTMs? I expect them to discuss shortcomings of those and how transformers at core function to overcome those shortcomings. 3. What other domains of AI and ML have candidates worked on apart from NLP? Expectation is at least some work on vision based tasks and classical ML based tasks like decision trees etc. 4. Is the candidate able to solve simple NLP based tasks like coming up with vector representation of a small sentence? (Doesn't have to be accurate, just so as to check how they approach the task) 5. Is the candidate able to ask questions related to classical ML algos like Regression and Decision tree etc? 6. Is the candidate inclined more towards research or towards implementation? 7. Does the candidate have any relevant publications in the ML domain? 8. Has the candidate worked on the system design side of things as well along with ML? (A candidate who has ability to picture end-to-end systems and explain his design decision rationale accordingly is preferred). 9. Is the candidate good at doing basic programming tasks in python? (We give a small problem involving clever use of data types and iteration logic. These are small problems one could solve within 10-15 mins but do have a lot of edge cases involved, we use those to test the ability of the candidate to deal with those.) 10. What is the biggest technical problem that candidate faced in his previous projects and how did he approach it? If you are interested please share ur CV to mooga.braincranx@gmail.com

Summary Breakdown: Decoding Tech Talent Trends: Insights from Flexiple's Survey Flexiple's survey of 1,000+ hiring managers and engineers sheds light on evolving skillset demands: Data Scientists: 28% AI Engineers: 26.5% Frontend Engineers: 24.5% Backend Engineers: 12.3% DevOps Specialists: 8.8% Adarsh Khandelwal, Director at SGN Software, highlights the surge in demand for specialized expertise: Artificial Intelligence (AI) Machine Learning Data Science Natural Language Processing Computer Vision Blockchain Development These niche skills not only command higher salaries but also offer resilience against automation, signaling a shift away from traditional coding tasks towards specialized domains driving innovation in the tech industry. #ArtificialIntelligence #AI #MachineLearning #ML #DataScience #NaturalLanguageProcessing #NLP #ComputerVision #CV #BlockchainDevelopment #TechTalent #SoftwareEngineering #Programming #Developer #Engineering #TechIndustry #FutureOfWork #SkillsOfTheFuture #TechJobs #Innovation #DeepLearning #BigData #TalentAcquisition

#directclientrequirements #directclient Please share at Rajat@addsource.ca Role - Machine Learning Engineer Duration - Long term Location - 100% remote Type - C2C Visa - Any Exp. - 10+ Years Responsibilities: Design, develop, deploy, and enhance production-grade near-real-time scalable machine learning and statistical predictive models, as well as Natural Language Processing (NLP) applications from near-real-time call transcripts and utterances. Develop innovative algorithms and models using cutting-edge techniques, such as deep learning neural networks (auto-encoders, feedforward networks, RNNs/CNNs, etc.), and employ NLP model architectures and algorithms including BERT (and derivatives like BioBERT, RoBERTa, ALBERT, etc.), BiLSTM, XLNet, T5, ELECTRA, PaLM, and more. Collaborate with cross-functional teams, comprehend problems, identify opportunities for leveraging advanced analytics and machine learning, and then design, develop, deploy, and monitor those ML solutions. Inform ML infrastructure decisions based on an understanding of ML modeling techniques and issues, encompassing model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation. Design, implement, deploy, and maintain deep learning and ML models using cloud technologies, such as Azure Databricks, MLFlows, and Azure ML. Develop production-ready modeling code capable of scaling to handle millions of calls and users.

Hello Everyone, My name is Mahesh Kumar Sahoo. I have completed BCA and MCA, also I have 1-2 years of experience in projects in Software Development, Application Development, Machine Learning (Supervised and Unsupervised) and Deep Neural Networks. Also, I am a Machine Learning Engineer with internship experience in designing machine learning solutions based on predictive modeling. Apart from this I have 10 months of working experience in Machine Learning and Deep Learning field. My proficiency spans a wide range of technologies, including Python, Artificial Intelligence, Machine Learning (Regression models, Boosting Techniques, Decision Trees, Clustering Techniques, Random Forest, PCA, SVM), Deep Learning (ANN, CNN, RNN), Data Analysis, Computer Vision, Image Processing, Natural language processing (NLP), Large language models (LLM). Humble requesting to all my LinkedIn family "please give me interview regarding these above job designation on junior level or entry level profile ". Kindly reach out to me if any of my LinkedIn family member get my resume and profile suitable regarding these above job designation on entry level profile. Here is My Resume Link -https://lnkd.in/de3QqE_G This below project is 30 yrs Stock Market Data Analysis by using #pandas #numpy #seaborn #matplotlib #dataanalysis #statisticalanalysis #calculations #linearregression #machinelearning  GitHub Link: https://lnkd.in/dqwmwwGA

Prompt Engineering: The Hottest New Tech Job? _________________________________________________________________________________ As AI tools become increasingly integrated into business operations, a new role has emerged at the forefront of this technological revolution: "the prompt engineer". Let's dive into the current landscape of this exciting career path. Global Demand: Job postings for "prompt engineer" have surged by 300% year-over-year on major job platforms [1] The role is particularly in demand in tech hubs: San Francisco, New York, London, Singapore, and Tel Aviv [2] Salary Insights: Average salaries range from $120,000 to $200,000 USD annually Some top tech firms are offering up to $335,000 for senior positions [3] Industries Leading Adoption: Technology Finance and Banking Healthcare E-commerce Media and Entertainment The rapid growth in these sectors is driven by the need to optimise AI interactions for specific business contexts [4]. Skills in High Demand: Natural Language Processing (NLP) and Large Language Model (LLM) expertise Creative writing and communication Data analysis and interpretation Programming skills (Python) Domain-specific knowledge Understanding of ethics and bias in AI [5] Challenges and Opportunities: Prompt engineers play a crucial role in improving AI efficiency, potentially saving companies millions in computational costs [6] The field is evolving rapidly, requiring continuous learning and adaptation There's a growing emphasis on developing prompts that ensure ethical AI outputs and mitigate biases [7] Education and Training: While formal degree programs in prompt engineering are still rare, several online courses and certifications have emerged. Many professionals are transitioning from backgrounds in computer science, linguistics, and data science [8]. Is your company hiring prompt engineers? What skills do you think are most crucial for this emerging role? Share your thoughts! Follow Aditya Gadkari on Data, AI, Analytics #AIJobs #PromptEngineering #TechCareers #FutureOfWork __________________________________________________________________________________ References: [1] LinkedIn Workforce Report, 2024 [2] "Global AI Talent Report" by Element AI, 2024 [3] Glassdoor Salary Data, 2024 [4] "The State of AI in Enterprise" by Deloitte, 2024 [5] "Prompt Engineering: Skills for the AI Age" by O'Reilly Media, 2023 [6] "The ROI of Effective Prompt Engineering" by McKinsey & Company, 2024 [7] "Ethics in AI: The Role of Prompt Engineering" by MIT Technology Review, 2024 [8] "Emerging Careers in AI" by World Economic Forum, 2024

#hiring Kindly share resumes to abhinav.p@saranshinc.com Senior MLOps Engineer Remote Full-Time Required Skills: Overall 7+ yrs as a MLOps Engineer Natural Language Processing (NLP) - 3 Years of Experience TensorFlow OR PyTorch - 1 Year of Experience Pandas OR SciPy OR NumPy - 1 Year of Experience #MLOps #Machinelearning #NLP #NaturalLanguageProcessing #TensorFlow #PyTorch #Pandas #NumPy #SciPy #MLFlow #TFMA #Modelservers #Fulltime #FTE #Remote

The AI Revolution: In-Demand Engineers and Essential Skills The AI revolution is transforming industries and creating unprecedented opportunities for engineers. As AI advances, the demand for skilled engineers who can design, develop, and implement AI systems is skyrocketing. But finding the right talent to fill these roles can be a challenge. That's where we come in. At Ingenium Search, we are a boutique specializing in software engineering recruitment, connecting top engineering talent with innovative companies driving the AI revolution. Our expertise lies in identifying and placing skilled engineers in high-demand roles, including: 1. Machine Learning Engineers Skills: Python, TensorFlow, PyTorch, Keras, linear algebra, calculus, probability, and statistics 2. Natural Language Processing (NLP) Engineers Skills: Python, NLTK, spaCy, scikit-learn, linguistics, and machine learning 3. Computer Vision Engineers Skills: Python, OpenCV, TensorFlow, PyTorch, computer graphics, and image processing 4. Data Scientists Skills: Python, R, SQL, data visualization, statistical modeling, and machine learning 5. Robotics Engineers Skills: C++, Python, ROS, robotics, and control systems 6. Cloud AI Engineers Skills: Cloud computing platforms (AWS, GCP, Azure), DevOps, and distributed systems We are expert technical recruiters and entrepreneurs with a deep understanding of AI, engineering landscape, and start-ups. This allows us to identify and attract top talent quickly for your business. Whether you're looking to build a team from scratch or augment your existing team with specialized skills in the USA, Canada, or LaTam, we've got you covered. If you are an engineer seeking new ideas or looking to hire engineering talent, get in touch at alfonso@ingeniumsearch.com or dani@ingeniumsearch.com. #AIRevolution #Engineering #MachineLearning #NLP #ComputerVision #DataScience #Robotics #CloudAI #TechnicalRecruitment #RecruitmentAgency #HiringSolutions #Innovation #startups #engineeringlatam

Today again i was reading the truly inspirational history of AI, from 1943 when 1st AI Model "Artificial Neurons" was created, then 1949, when Hebbian learning rule got evolved after then Turing machine evolved after then 1st Artificial Intelligence Program "Logic Theorist" was written in 1955, then 1st Chatbot Eliza was created in 1966 & from that time till now AI is continuously evolving and emerging in across every Industries. Even Cognitive Computing and Generative AI is continuously evolving from more than 9 decades.....their history and their present is truly motivational, it shows the extreme capability of logical thinking of human brain, which is still evolving day by day..... In last 6 months, as part of global technical recruitment, i was only able to go through the basics of Data Engineering Life Cycle, specially the scratch/ base level of Data Science, including ML, NLP, Computational Linguistic, Neural Networks & Cognitive Computational & AI Products including Generative AI also. Even Generative AI tools are also continuously evolving: DALL-E 2 Artbreeder Gaugan2 for Image Generations GPT Jasper Quillbot for text generation & many more....... No doubt AI, Data Engineering, Data Science is just like an endless ocean which is continuously evolving..... I believe Technical Recruiters who are hiring in Product Specific Recruitment in AI, Data Science & other Data Engineering tools: Classical Data Applications, Hadoop, Cloud from scratch level, must learn at least basics of these technologies...It will be truly helpful for all of you, recruitment people to manage End to End recruitment in these Advanced Technologies very effectively....

Data Science Job Seeker: Analytical Mind & Deep Learning Enthusiast! Hi everyone, I'm thrilled to announce I'm actively seeking a new data science challenge! The past 15 months as a data science intern have ignited my passion for the field. I've not only developed a strong foundation in machine learning, tackling projects like sentiment analysis (Twitter data!), CO2 emission prediction, and demand forecasting, but I've also delved into the fascinating world of Natural Language Processing (NLP). Here's what fuels my data science journey: Analytical Mind: I thrive on dissecting data, uncovering hidden patterns, and transforming insights into actionable strategies. Machine Learning Expertise: My journey began with core machine learning principles, and I'm eager to continue applying them to solve complex challenges. Deep Learning Expertise: My knowledge of deep learning frameworks allows me to tackle complex problems and build powerful models. Natural Language Processing (NLP): My passion for NLP led me to explore chatbot development using Botpress and attempt building a ChatGPT-like model utilizing NLP concepts and LLM frameworks (e.g., Transformers) on a dataset of 8 books. What I'm looking for: An opportunity to leverage my analytical mind and deep learning skills on cutting-edge projects. A collaborative environment where I can learn from experienced professionals and continuously expand my knowledge base. A chance to make a real impact by delivering data-driven solutions that solve real-world problems. Are you looking for a skilled and passionate data scientist? Let's connect! I'm particularly interested in opportunities focusing on Natural Language Processing(NLP) ,Machine learning engineering ,Data Science ,Deep learning. #DataScience #MachineLearning #DeepLearning #NLP #OpenToWork #Machinelearning #Jobseeking #Microsoft #Wipro #IBM #Numerator #engineering #python #machinelearning #GoogleCareers #careerchat #recruiting #dreamjob #nowhiring