New Job Alert : AI/ ML Engineer - Post Link:- https://lnkd.in/gERiaAPQ Description:- Objectives of this role Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy Understand company and client challenges and how integrating AI capabilities can help lead to solutions Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant […] Esyconnect.com #Hiring #hiring, #jobsearch, #jobopening, #jobposting, #employment, #opportunity, #joblisting, #job, #recruiting, #career, #jobs, #job, #jobsearch, #recruitment, #careers, #career, #nowhiring, #business, #recruiting, #HR, #LinkedIn
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Stay ahead in the tech job landscape with up-to-date skills in AI and machine learning. While not all jobs require deep expertise in these areas, many jobs will consider knowledge in these areas a big plus when making hiring decisions. Read more here: https://buff.ly/3TwN9rh #techhiring #2024techjobs #techstaffing #AIjobs #machinelearning
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Stay ahead in the tech job landscape with up-to-date skills in AI and machine learning. While not all jobs require deep expertise in these areas, many jobs will consider knowledge in these areas a big plus when making hiring decisions. Read more here: https://buff.ly/3TwN9rh #techhiring #2024techjobs #techstaffing #AIjobs #machinelearning
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Careers in #Data and #AI do not have a clear path. Data and AI is a young and constantly changing field. There are so many different roles, it is easy to get lost in them. Especially because the definitions within different organizations are quite skewed. ?? In general, the more mature the organization is in Data and AI, the more specialized roles you have. As an example, if a mature company is hiring an ML engineer, the candidate is expected to have a lot of knowledge of #MLOps and model deployment and mainly focus on those points. An immature company might be looking for an unicorn. For me, it is a red flag: the company has no idea what is needed to bring models to production, and a lot of changes are required before you can accomplish anything. #career
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Valid point!! Effective collaboration and different skill set ensures in producing proper artifacts and streamlines different frameworks in AI product development lifecycle.
Careers in #Data and #AI do not have a clear path. Data and AI is a young and constantly changing field. There are so many different roles, it is easy to get lost in them. Especially because the definitions within different organizations are quite skewed. ?? In general, the more mature the organization is in Data and AI, the more specialized roles you have. As an example, if a mature company is hiring an ML engineer, the candidate is expected to have a lot of knowledge of #MLOps and model deployment and mainly focus on those points. An immature company might be looking for an unicorn. For me, it is a red flag: the company has no idea what is needed to bring models to production, and a lot of changes are required before you can accomplish anything. #career
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ML / GenAI Engineer @Logixsy Tech | Computer Vision | AI Enthusiast | ML| DL | NLP| NLU| GenAI|Fast Alumni
As AI is setting trends so wide it will surely take time to get settled with specialized domains.
Careers in #Data and #AI do not have a clear path. Data and AI is a young and constantly changing field. There are so many different roles, it is easy to get lost in them. Especially because the definitions within different organizations are quite skewed. ?? In general, the more mature the organization is in Data and AI, the more specialized roles you have. As an example, if a mature company is hiring an ML engineer, the candidate is expected to have a lot of knowledge of #MLOps and model deployment and mainly focus on those points. An immature company might be looking for an unicorn. For me, it is a red flag: the company has no idea what is needed to bring models to production, and a lot of changes are required before you can accomplish anything. #career
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AI is revolutionizing the workplace in Gurgaon, and it's creating exciting new job opportunities! ???? As AI continues to advance, it's automating tasks, improving efficiency, and driving innovation across industries. This means a surge in demand for professionals with expertise in: Machine Learning: Building and training AI models to solve complex problems. Data Science: Extracting insights from large datasets to inform decision-making. AI Engineering: Developing and deploying AI solutions at scale. Natural Language Processing: Creating AI that understands and interacts with human language. Gurgaon's thriving tech ecosystem offers ample opportunities for those looking to build a career in AI. If you're passionate about technology and want to be at the forefront of this exciting field, consider exploring these roles. #AIjobs #Gurgaon #TechCareers #MachineLearning #DataScience
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Do you tear into Ben’s and TLDR AI every morning? Within the first 500 people to dl the model of the week on ollama? (Or actually no because you’re og #huggingface?) Maybe you’re so post-#PLOPStack bc, you know, “langchain isn’t for prod”? Check out our job openings for AI engineers, backend devs, marketers, and product people and come solve hard problems with GenAI at Sixfold.
?? Looking for a job where you can solve real problems with AI? Take a look at our current openings and see if there's a spot for you. Head over to our careers page ???https://lnkd.in/e7NyVU3f #Hiring #Insurtech #UnderwritingAI
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Co-founder @ Scalexperts ?? | AI Talent Acquisition, Search & Advisory | Educational AI Content Creator
At least 6 years commercial experience in AI engineering with exceptionally deep knowledge of GenAI needed! Was a job ad I saw yesterday! Please do your research before posting ads like this it does considerably more harm than good for your business! 1?? It shows you do not really have much of a clue of the space you are trying to hire, which is fine..... but speak to someone who does! 2?? If you do not understand what you are hiring for... do you really know what you are doing with AI internally? 3?? You are potentially putting off some great talent who could be a good fit. "AI engineering" has been around for a while but in many different disciplines/settings to a business looking for a GenAI whizz, research the market and understand what is possible. Understand the route to becoming an AI engineer and the backgrounds talent will likely come from! Hiring in AI starts with knowing exactly what you are doing internally and being able to portray that to the market. #ai #hiring #expectations
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???????????? ?????? ???? ???????? ???? ????????????????? ?????????? ???? ?????? ????????????! ?? ?? MLOps (Machine Learning Operations) is a set of practices that streamline the development, deployment, and management of machine learning models ?????? As businesses increasingly rely on AI, MLOps ensures models are scalable, reliable, and easy to maintain! ????????????????: 1. Standsdization of workflows ?? 2. Faster deployment ?? 3. Continuous performance monitoring ?? 4. Better collaboration across teams ?? 5. Reduced costs and resources use through automation ?? MLOps brings data scientists, engineers, and operations teams together, making AI solutions work better, faster, and smarter for everyone! ? #hr #hiring #working #work #AI #unlocking #power #mlops #tech #jobsearch
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Hii All, Greetings from Lucidspire !! Role: ML?Engineer? Experience: 3 to 5 years Notice Period: Immediate Joiners Location: Remote Duration : 6 months ? ?About Our Client: ?Our client is a top HR Tech Startup in India, uses AI-driven solutions to revolutionize hiring. Trusted by 1,000+ companies and institutions like MIT and Harvard, they’ve placed over 10,000 developers on contract, setting a new standard for precision and efficiency?in?recruitment. JD : Key Responsibilities: ?? Design, develop, and deploy deep learning models using Py Torch. ??Implement NLP solutions, particularly with transformers, using Hugging Face libraries. ??Manage and optimize machine learning workflows on AWS Sage Maker. ??Utilize Terraform for infrastructure management and automation. ??Collaborate with cross-functional teams to integrate?ML?models into production systems. ??Stay updated with the latest trends and advancements in AI/ML?technologies. Key Skills Required: ??Deep Learning:?Extensive experience in designing and deploying deep learning models. ??NLP:?Strong understanding and application of NLP techniques, with hands-on experience in transformers. ??Py Torch:?Proficiency in using Py Torch for model development. ??Hugging Face:?Experience with Hugging Face libraries for NLP. ??AWS Sage Maker:?Skilled in deploying and managing?ML?models on AWS Sage Maker. ??Terraform:?Ability to manage infrastructure as code using Terraform ?? Apply : [email protected] ?#DeepLearningExpert #NLPandTransformer #PyTorchSpecialist?#MachineLearningOnAWS #TerraformAndML #AIModelIntegration #HuggingFacePro #AWSMLWorkflow #AIInfrastructureManagement #MLInnovation
