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Here's what you need to know about hiring a senior AI development team🤖 ✅Roles & salaries ✅Technical & non-technical skills ✅Key AI technologies, tools, frameworks ✅Internal hiring vs outsourcing Ready to build your AI team? 📙Read here: https://lnkd.in/gZb3_QeV #ai #genai #software #devs #engineers #hiring #people #tech

According to Gartner data, the lack of a structured team blocks 50% of AI projects at the proof-of-concept stage. Let’s look at critical roles in #AdTech and #MarTech AI development that can set you up for success in building AI projects: 🔸 AI/ML engineers deploy, maintain, and scale machine learning models 🔸 Data analysts apply large datasets to solving business problems through a range of analytical and statistical tools 🔸 Data scientists align with business stakeholders on high-priority issues 🔸 Data engineers build and test ETL pipelines Learn best practices for hiring skilled AI engineers for your project in a new #Xenoss blog post by Valery Sverdlik, our Delivery Director. 💬See the link in the comments! #engineering #itjobs #techcareers #ai #machinelearning #hiring

🤖 AI is becoming an integral part of both our daily lives and the tech industry. 🟢 What should you focus on when hiring for AI roles? Discover the key skills and recruitment tips in our latest article. Don't miss out if you're looking to hire AI Architects, Data Scientists, ML Engineers, and more! ➜ Read more here: https://lnkd.in/dHNedUtH #AIRecruitment #ArtificialIntelligence #ITRecruitmentinPoland #ITRecruitmentAgency #Outsourcing

Hello Folks, We are looking for experienced #Generativeartificalengineer you will be responsible for developing and implementing cutting-edge generative AI models to solve complex problems. Position:- #Generativeartificalengineer Location:- #Mumbai Experience:- #2years CTC:- Upto 15 LPA Notice Period:- Immediate to 30 days Key Roles and Responsibilities : • Define, build and deploy enterprise focused Generative AI solutions on Microsoft Azure cloud services. • Comfortable working in the cloud and high-performance computing environments -Azure/ GCP. • Utilize off-the-shelf Azure (OpenAI) services, to integrate LLM capabilities into applications, and collaborate with the business and IT teams. • Create, Modify and deploy code libraries, accelerators (GitHub) programming languages such as Python, R. • Build Rapid prototypes and do proof of concepts (PoC) in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification, tracking, etc. • Apply prompt-engineering techniques to specific use cases and types of models. • Stay informed about the latest advancements in Gen AI, machine learning, and AI technologies to optimize our technical stack. • Co-ordinate for Tech Support and Continuous improvements. Skills required :- • The ideal candidate will have a strong background in generative AI and experience working with LLM (Large Language Models) in particular. • 2-3yrs experience with AI technology and Azure cloud services, Cognitive services (AI, ML, LLM, algorithm), Python, NLP, Generative AI. • Strong understanding of Open AI (Chat GPT, GPT, Chatbot) • Good understanding on fine-tuning with Azure OpenAI distributed OpenAI models such as DaVinci, curie, Babbage, ADA. • You are proficient in Python and have experience with various machine learning libraries and frameworks with necessary Azure cloud experience of configurations, troubleshooting etc. • Good communication skills and basic customer management. Relevant applicant can share your resume on manager@hr360d.com #greatopportunity #mumbaijobs #machinelearning #artificalintelligence #data #analysis #engineering #image #processing #programming #languages #domain #knowledge #technology #computing #algorithms #frameworks #neural #networks #innovation #natural #language #communication #skill #problemsolving #generativeAI #connections #opentojob #references

Hello Folks, We are looking for experienced #Generativeartificalengineer you will be responsible for developing and implementing cutting-edge generative AI models to solve complex problems. Position:- #Generativeartificalengineer Location:- #Mumbai Experience:- #2years CTC:- Upto 15 LPA Notice Period:- Immediate to 30 days Key Roles and Responsibilities : • Define, build and deploy enterprise focused Generative AI solutions on Microsoft Azure cloud services. • Comfortable working in the cloud and high-performance computing environments -Azure/ GCP. • Utilize off-the-shelf Azure (OpenAI) services, to integrate LLM capabilities into applications, and collaborate with the business and IT teams. • Create, Modify and deploy code libraries, accelerators (GitHub) programming languages such as Python, R. • Build Rapid prototypes and do proof of concepts (PoC) in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification, tracking, etc. • Apply prompt-engineering techniques to specific use cases and types of models. • Stay informed about the latest advancements in Gen AI, machine learning, and AI technologies to optimize our technical stack. • Co-ordinate for Tech Support and Continuous improvements. Skills required :- • The ideal candidate will have a strong background in generative AI and experience working with LLM (Large Language Models) in particular. • 2-3yrs experience with AI technology and Azure cloud services, Cognitive services (AI, ML, LLM, algorithm), Python, NLP, Generative AI. • Strong understanding of Open AI (Chat GPT, GPT, Chatbot) • Good understanding on fine-tuning with Azure OpenAI distributed OpenAI models such as DaVinci, curie, Babbage, ADA. • You are proficient in Python and have experience with various machine learning libraries and frameworks with necessary Azure cloud experience of configurations, troubleshooting etc. • Good communication skills and basic customer management. Relevant applicant can share your resume on manager@hr360d.com #greatopportunity #mumbaijobs #machinelearning #artificalintelligence #data #analysis #engineering #image #processing #programming #languages #domain #knowledge #technology #computing #algorithms #frameworks #neural #networks #innovation #natural #language #communication #skill #problemsolving #generativeAI #connections #opentojob #references

#hiring-through-hackathon From Struggle to Triumph: The Fractal Story What started as a small, passionate team in Bangalore, navigating the uncertainties of the early data science world, has now become a global leader in AI and analytics. Fractal’s journey wasn’t easy. In the early days, the team faced skepticism, tight budgets, and a market not yet ready for the power of data-driven insights. But with relentless determination and belief in their vision, they turned challenges into opportunities. Fast forward to today, Fractal is transforming industries with cutting-edge AI, machine learning, and analytics solutions. From boosting sales for global brands to redefining decision-making with data, Fractal is now at the forefront of innovation. And the journey doesn’t stop here. Fractal is searching for top Data Scientists with 3+ years of experience to join their global team! Apply now on HackerEarth and be part of a leader in AI & Analytics. Don’t miss the chance to shape the future with us! Link in the comment! #Fractal #AI #DataScience #Innovation #Careers #hiring #hackathon

Beyond Hiring Data Scientists: Driving Real Business Value with MLOps It's tempting to think that hiring a team of brilliant data scientists is the key to unlocking AI/ML success. In reality, without a solid MLOps foundation and a business-first mindset, even the most talented minds can struggle to deliver tangible impact. ❌ What MLops ISN'T: • 𝗝𝘂𝘀𝘁 𝗵𝗶𝗿𝗶𝗻𝗴 𝗱𝗮𝘁𝗮 𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁𝘀 𝗮𝗻𝗱 𝗵𝗼𝗽𝗶𝗻𝗴 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁: Organizations need a supportive infrastructure that understands the unique challenges of AI/ML development and deployment. • 𝗢𝗻𝗹𝘆 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗯𝗲𝘀𝗽𝗼𝗸𝗲 𝗔𝗜/𝗠𝗟 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: While custom solutions can be valuable, they're not always necessary or the most efficient way to achieve business goals. Teams need to be agile and focus on delivering value quickly. • 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗶𝗻 𝘀𝗶𝗹𝗼𝘀: Collaboration between data scientists, engineers, and business stakeholders is crucial for MLOps success. ✅ How to Accelerate Business Value with AI/ML: • 𝗔𝗹𝗶𝗴𝗻 𝗔𝗜/𝗠𝗟 𝗶𝗻𝗶𝘁𝗶𝗮𝘁𝗶𝘃𝗲𝘀 𝘄𝗶𝘁𝗵 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗼𝗯𝗷𝗲𝗰𝘁𝗶𝘃𝗲𝘀: Start by identifying the key pain points and opportunities where AI/ML can make the biggest difference. Don't chase technology for its own sake. • 𝗕𝘂𝗶𝗹𝗱 𝗮 𝗿𝗼𝗯𝘂𝘀𝘁 𝗠𝗟𝗢𝗽𝘀 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Invest in the tools and processes needed to streamline development, deployment, monitoring, and continuous improvement of your models. This includes version control, automated testing, and CI/CD pipelines. • 𝗘𝗺𝗯𝗿𝗮𝗰𝗲 𝗮 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗳𝗶𝗿𝘀𝘁 𝗺𝗶𝗻𝗱𝘀𝗲𝘁: Design solutions with scalability, reliability, and maintainability in mind from the beginning. Ensure your models can handle real-world data and integrate seamlessly into existing systems. • 𝗙𝗼𝘀𝘁𝗲𝗿 𝗮 𝗰𝘂𝗹𝘁𝘂𝗿𝗲 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Encourage teams to test new ideas, iterate quickly, and learn from both successes and failures. This agility is key to staying ahead in a rapidly evolving field. • 𝗣𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝘇𝗲 𝗲𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝘁𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝗰𝘆: Build trust in your AI/ML solutions by ensuring they are understandable and accountable. This is especially important in regulated industries and when making decisions that impact people's lives. 🚀 MLOps is the bridge between AI/ML potential and tangible business outcomes. By adopting a strategic, collaborative, and production-focused approach, organizations can truly unlock the power of AI/ML to drive innovation and growth. #MLOps #MachineLearning #AI #DataScience #BusinessValue #Innovation

The AI job market is heating up more than your laptop after a 12-hour Zoom marathon 🔥 Here is our jobs weekly snapshot. Reach out to myself or Venquis' Data Dream Team to learn more! Matija Rosić Stephen Allen Lead AI Advisory Consultant Generative AI Solution Architect Generative AI Fullstack Engineer Generative AI Business Development Manager Backend AI Engineer - Chatbots AI Project Manager Senior AI Governance / Regulatory Consultant #hiring #ai #generativeai #data

**Career progression in AI: "Unlock Your Future in AI: Career Progression Pathways! As AI continues to transform industries and revolutionize the way we work, the demand for skilled professionals is skyrocketing! Whether you're just starting out or looking to upskill, here are some exciting career progression pathways in AI: 1. Data Analyst → Data Scientist → Senior Data Scientist → AI Researcher 2. Software Developer → AI/ML Engineer → Technical Lead → AI Architect 3. Business Analyst → AI Consultant → Senior AI Consultant → AI Strategist 4. Researcher → AI Research Scientist → Senior AI Research Scientist → AI Director To succeed in AI, focus on: - Building a strong foundation in math, stats, and programming - Staying up-to-date with industry trends and breakthroughs - Developing soft skills like communication, collaboration, and problem-solving - Networking with professionals and joining AI communities Unlock your potential and thrive in the AI era! #AI #CareerProgression #FutureOfWork #MachineLearning #DeepLearning #DataScience #AIJobs #CareerAdvice"

XILLIGENCE is looking for AI Engineer who has experience with AI engineers to develop, test & deploy software. Years of experience: 4+Years Location: Bangalore Notice period: 0-15Days Job Description: AI Engineer   Required Experience: ·        Worked with a team of AI engineers to develop, test & deploy software. ·        Hands on experience with python. ·        Experience with numpy, pandas, scikit learn, Keras & Tensorflow. ·        Label encoding, Data cleaning, feature extraction & finding correlation across feature set. ·        Hypothesis Testing, Data visualization. ·        Extensive experience with any one of the RDBMS. ·        Collaborated with cross-functional teams to gather requirements, to build ML models from scratch. ·        Data extraction from cloud/on-premise IT systems. ·        Building AI/ML models from scratch for any given business scenarios. ·        Has built clustering/prediction models end to end. ·        Worked extensively with Core AI models for classification/prediction. ·        Extensive knowledge of Linear & Logistic regression. ·        ANN : Worked with Artificial neural networks, CNN & Transfer learning. ·        Has implemented classification/prediction models using ANN/RNN for complex data distribution patterns. ·        GenAI: Worked on at least one Generative AI based solutions. ·        Implemented GenAI solutions such as Text to Sql. ·        Worked with at least one of the LLM. ·        Worked with AI/ML/GenAI solutions/toolset from at least one cloud provider. ·        Deployed fully functional ML models as working services on cloud/on-premise infra. ·        Security: Has ensured the data security while implementing/deploying/run Models in Cloud environments.   Roles & Responsibilities: ·        Extract data from legacy/modern IT systems. Perform Feature engineering. ·        Perform Hypothesis testing. ·        Data visualization using any of the open source tools. ·        Implement AI/ML model end to end using python. ·        Extensively work with numpy, pandas, matplotlib, Keras & TensorFlow. ·        Deploy ML model on cloud or on premise. i.e ensure that the built model is usable either directly or via by other APIs. ·        Train model on on-premise or on cloud infrastructure. ·        Design & develop AI Models. ·        Create AI models for automotive Usecases. ·        ANN: Implement ML models end to end for complex data distribution patterns. Those who are interested share your profiles to anusha.rv@xilligence.com #Immediatehirings #AIEngineer #DataScientist #Python #Panda #Numpy #Tensorflow #AI #ML #CNN #RNN #ANN #GenAI #HypothesisTesting #Datavisualization #cloud #clustering #prediction #hiringnow #immediatejoiner #hiringalert #lookingforjobchange #bangalore