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Looking for your next job? #AI is creating opportunities: 1. AI/ML Engineer 🤖 ✅ Skills: Strong foundation in computer science, math, and programming. 🔧 Role: Develop and deploy AI models, work with teams to identify and solve business challenges, and continuously optimize model performance. 2. Data Scientist 🔍 ✅ Skills: Expertise in statistical analysis, machine learning, and data visualization. 🔧 Role: Extract and analyze data to uncover patterns that inform strategy, work closely with engineers to refine AI models, and present findings to stakeholders. 4. AI Product Manager 🌐 ✅ Skills: Blend of technical understanding and business strategy. 🔧 Role: Guide the development of AI products from idea to market to ensure they meet user needs and business objectives, and analyze market data to enhance product offerings. 4. AI Ethicist ⚖️ ✅ Skills: Knowledge of ethics in tech, ability to identify risks and formulate mitigation strategies. 🔧 Role: Ensure AI technologies are developed and used responsibly, create guidelines for ethical AI implementation, address societal impacts of AI. __ BravoTECH's expert #recruiters can help you on your job hunt. 👀 Browse open roles at jobs.bravotech.com 👉 To apply, email jobs@bravotech.com #OpenToWork #Hiring #NowHiring

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

"Innovation is the ability to see change as an opportunity, not a threat." - Steve Jobs. We are looking for an Senior AI Engineer to join our team! In this role, you will be exposed to challenging business problems on a scale larger than life, pushing the boundaries of what's possible with state-of-the-art technology.Each day will present new opportunities for creativity and experimentation, whether it's diving into NLP one day or exploring cutting-edge technologies like Gen AI. You will have access to both traditional methodologies and more advanced approaches. In all, you will be solving real-world challenges using the power of AI. When it comes to innovation and AI development, we follow a scientific and methodical approach, ensuring intended impacts are realized. Our focus lies in tackling thought-provoking challenges, structured experimentation, clearly defined hypotheses, meticulous data analysis, and careful consideration at every step of the process, from model selection to fine-tuning. Sound like you? Share your resume at recruitment@thesmartq.com and get set to take SmartQ to new heights! #AIdeveloper #ai #hiring #hiringalert #openings #recruitment #SmartQ

AI hiring companies.. On your job descriptions… Instead of: 1. We are a growing business who offer a competitive salary and full benefits package. 2. We offer career progression, great projects and our work is recognized in the industry. How about: 1. We are a super-ambitious and passionate AI software company who grew 183% last year. We are offering a base salary of $150-200K, 20% annual bonus, stock options, unlimited PTO and we have a remote working policy. 2. The last software engineer that we hired was promoted after 14 months and many others have progressed quickly due to their hard work. You will be working on Generative AI projects that have a deep and meaningful impact in the Financial Services industry. One of our latest innovation projects in the insurance sector saved a customer $14m per year and increased efficiency by 33%. We won two prestigious industry awards last year for our work in Gen AI. It’s not difficult to make your job descriptions more interesting and your company more appealing…. Happy Thursday 😊 #hiring #ai #technology

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

#hiring Senior Machine Learning Engineer, Boston, United States, fulltime #jobs #jobseekers #careers #Bostonjobs #Massachusettsjobs #Engineering Apply: https://lnkd.in/gGQ3wEJW Exciting Senior Machine Learning Engineer role with rapidly growing Biotech on the cutting edge of protein design!This Jobot Job is hosted by: Coalter PowersAre you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.Salary: $125,000 - $175,000 per yearA bit about us: REMOTE OR HYBRID Our client, a cutting-edge biotech company recently announced a large partnership with Google Cloud to build a generative AI platform for engineering biology and for biosecurity.We are exclusively partnering with them on the build-out of the newly created Digital Tech / AI Enablement team. This is an excellent opportunity to get in early and be a part of it all.Why join us?The AI Enablement team is responsible for delivering the ML expertise required to make this happen. With nearly limitless compute capacity: CPU, GPU, or TPU; you will have the opportunity to partner with biologists, software and DevOps engineers, and data scientists to create the necessary ML infrastructure.As one of the first members of this new team, you will have a large role in molding our approaches to creating foundation models for biology, as well as creating fine-tuned and derived models for specific applications in bioengineering. Work remotely, hybrid, or in-office Competitive Compensation including industry leading equity program Nearly limitless AI/ML resources and capacity Unlimited opportunity for career development and growthJob DetailsWhile the main focus of your work will be on building and evaluating new ML models for biology, many other types of work will come your way. You may need to do data archaeology, create and debug pipelines in tools like Kubeflow or Flyte, quickly learn the basics of protein folding or codon optimization, become the company's expert on a new tool, debug odd results created by a production model for a project under a time crunch, contribute to brainstorming, planning and prioritization, make presentations, give feedback on others' proposals and code, and more.This is a new team, a significant company focus, and a rapidly evolving field. You will need to be able to handle ambiguity and uncertainty; on the flip side, you will be able to influence where things go and how they change.You will identify what needs to happen, bring it to the team's attention, and make it happen.You will not be expected to be an expert in "All The Things". You will be expected to have a high level of general technical competency, be a fast learner brimming with curiosity, and an expert in a few things - deep learning, in particular. Responsibilities Build, manage, and evolve a GCP-based platform for large scale

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

AI Engineer vs. ML Engineer: The ultimate showdown 🤖 Both AI Engineers and ML Engineers are crucial to the AI revolution, but their roles differ. AI Engineers focus on the broader applications of AI, such as: ✅ Designing and developing AI systems for various industries (e.g., healthcare, finance, automotive) ✅ Integrating AI into existing products and services ✅ Ensuring ethical and responsible AI development ML Engineers specialize in the development and deployment of machine learning models: ☑ Collecting and preparing data for training ML models ☑ Selecting and implementing appropriate ML algorithms ☑ Evaluating and optimizing model performance ☑ Deploying models into production environments Which role do you think would be a better fit for you? AI Engineer or ML Engineer? #AI #ML #MachineLearning #AIEngineer #MLEngineer #TechTalents

#everyone #connection #experiencejob #machinelearning #job #punejobs Senior Machine Learning Engineer 4-5 yrs Remote - Shift 10-7 / 11-8 " Location: Remote Type: Full-Time Job Summary: Your responsibilities will include collaborating with top-tier researchers, software engineers, and data scientists to enhance, develop, and implement advanced machine learning models, addressing some of the most challenging problems in the field. Key Responsibilities: Large Language Model (LLM) Mastery: • Advanced Model Architecture: Deep understanding and experience with LLM architectures including Transformers, GPT variants, BERT, etc. • Sophisticated LLM Deployment: Skilled in deploying advanced pre-trained models like GPT-4, BERT, etc. • Expert Fine-tuning: Proven track record in fine-tuning LLMs for specialized tasks. • Comprehensive Training from Scratch: Extensive experience in training LLMs from the ground up, including complex data handling, addressing computational challenges, model stability and innovation, and advanced hyperparameteroptimization. Research and Algorithm Development: • Lead and innovate in the design and implementation of machine learning algorithms, ensuring fairness and interpretability. • Oversee data management and perform advanced data preprocessing techniques. Model Implementation and Validation: • Develop scalable and efficient machine learning models using advanced frameworks. • Implement and oversee thorough validation processes to ensure model integrity. Optimization and Scaling: • Lead in model optimization for enhanced computational efficiency and accuracy. • Collaborate with infrastructure teams for large-scale model deployment. Deployment: • Convert research algorithms into production-level code, ensuring seamless integration into Qx Lab AI’s platforms. • Work with DevOps for cloud-based deployment, focusing on maintainability and robustness. Performance Monitoring and Maintenance: • Develop tools for continuous model performance monitoring. • Proactively address performance issues and update models based on metrics and new data. Required: • Bachelor’s Degree in Computer Science, Engineering, Statistics, or related field. • Advanced programming skills in Python, C++, or similar. • Extensive experience with TensorFlow, PyTorch, or similar frameworks. • Deep understanding of machine learning algorithms and principles. • Demonstrated expertise in LLMs. • Experience with cloud computing services (AWS, Azure, GCP, etc.). • Solid grasp of software engineering best practices. • Exceptional problem-solving skills. • Outstanding communication skills, both written and verbal. Preferred: • Master’s Degree or PhD in a related field. • Experience in NLP or computer vision. • Published research in machine learning, AI, or specifically LLMs. • Agile environment experience. Process: Key Details: Candidate should have their own laptops Notice Period: Immediate only Salary:- 85K Per Month

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