3 plus years of Legit AI/ ML experience. Top technical "must haves" Understands how fine-tuning, context building, and prompt engineering influence the usefulness of responses, and knowledgeable of good practices associated with each element Experience implementing strategies aimed at cost management (hard $ & computational costs) of GenAI solutions, including limiting input and output tokens Understands how to safeguard proprietary IP/user data when leveraging both opensource & commercially
Greetings Who are we? For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 6000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check ;/p> Hiring Type : Full Time/ Contract Machine Learning Engineer (Infrastructure) Mountain View, CA / PST Time Zone Description : Experience in Machine Learning engineer or Infrastructure roles, w
Company Profile Quantiphi is an award-winning AI-first digital transformation engineering company driven by the desire to solve transformational problems at the heart of the business. We are passionate about our customers and obsessed with problem-solving. Quantiphi solves our clients toughest and most complex business problems by combining deep industry experience, disciplined cloud and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable busine
Hi, My client is looking Machine Learning Engineer (Banking), New York on urgent basis. If interested then please send your updated resume to renu dot sharma at vyzeinc dot com. Machine Learning Engineer (Banking), New York Location: EST Remote Role (New york Candidates prefrred) Duration: 6+ Months MOI: Skype MUST HAVE: MINIMUM 15 years of experienceMUST HAVE banking experienceExcellent communication skillsSubmissions with LinkedIn included and must have a picture Seeking a Senior Machine Lea
Position: Machine Learning Consultant with Azure Location of work : Redmond WA, Remote Duration: 12+ months Description: Object oriented programming using Python Programming with REST APIs using Python Programmatically deploying & managing ML Models/Model versions to Azure ML Registry using Python Creating & managing Build & Release pipelines using Azure DevOps Fundamental knowledge of: a. ML Model (, b. Spark MLFlow (, c. MLOps (, d. ML Registry (, e. Model Monitoring (
Job Title: Machine Learning Engineer Location: Will consider Remote, but prefer Hybrid out of Vienna, VA (two days/week onsite) Duration: 60+ Months Description: Requirements Build and enhance machine learning models through all phases of development including design, training, validation, and implementationUnlock insights by analyzing large scale of complex numerical and textual data and identifying trendsPartner with a cross-functional team of data engineers, data scientists, and data visual
Experience with Machine Learning, Data Science, Data Engineering principles and technologies such as R, Python, SQL. Experience delivering and managing AI/ML based software products. Experience with agile software development methodology. Proven experience with data engineering and ETL techniques using data from a wide variety of data sources. Rigorous understanding of statistics/machine learning and ability to discern appropriate analytics techniques to problem-solve. Knowledge of data warehous
Job Description: Job Title: AI/ML Engineer Location: Remote Position Type: W2 Contract Project Length: Long term Key Responsibilities: - Collaborate with cross-functional teams to understand business requirements and identify opportunities for AI/ML-driven solutions. - Develop and deploy AI/ML models using state-of-the-art techniques, with a focus on large language models in Generative AI. - Utilize your expertise in life sciences to enhance commercial analytics, pricing strategies, contract man
What you'll be doing is building ML solutions from start to finish, from data pipelines, modeling, training, to deployment and monitoring. You'll also cross-collaborate with the Product and Data Engineering teams. Ideal candidates will have hands-on experience delivering ML solutions using TensorFlow, PyTorch, or Scikit-learn. Experience with cloud environments is also a must. More importantly, they want individuals who have developed real-world AI/ML applications such as predictions, recommen
IT Risk Management Director (Technical ) - (AI/ ML , Robotics Process Automation) 6 Months contract ( C2H ) Location: Remote Job description: Notes : Focus would be on Artificial Intelligence, Machine Learning, and or Robotics Process Automation experience along with a Technical background (i.e.. have they been an engineer, developer, or coder?) They would need that technical knowledge, not just worked in a Risk Management space, but specifically can talk through the technology realm of things.
We are seeking to hire an experienced DevSecOps Engineer to join our team working on a multi-year project on a Federal Gov t program in the Washington, DC area. This role is 100% remote. Being a US Cit is REQUIRED for passing the Security Clearance to work on this program. This position pays a strong salary package with full benefits (including choice of healthcare plans, dental, vision, life insurance, 3 weeks PTO, 11 Paid Federal Holidays, and a matching 401k). An option for working on an hou
Note: W2 Contract, Please No OPT/CPT and C2C resume Build robust in-house ML models for recommendations and enable training, tuning and serving those ML models in a scalable way. This initiative is to migrate and enhance using relevant technology stack in AWS Sagemaker. The objective of this initiative is to develop right capabilities required for AI / ML pipelines to be migrated to sageMaker from existing legacy stack in databricks and help the current squad migrate faster and maintain ML mode
One of our prime clients is hiring a Azure ML Engineer in Remote. This is a full-time permanent position. Azure ML Engineer Full time Remote Responsibility: Focus on building the cloud infrastructure, productionize and operationalize the AI models Collaborate with data scientists to build and automate deploy end-to-end production grade machine learning models and systems Transform and productionize advanced machine learning models into scalable, reliable, secure, and maintainable, machine l
Role: CCAI Innovation Developer/AI/ML with CCAI Location: Remote Experience: 3 to 5yrs (with DialogFlow) Project Type : Contract Responsibilities: MUST, take ownership and personally feel personally accountable to Verizon as a whole in order to complete projects to the best of their abilities.MUST, be honest and proud to celebrate failures by sharing experience and lessons learned with all via WhitePapers.Take point on moving tasks to completion at the direction of PATL (Lenore, who has not sta
Insurance Domain knowledge Preferred Power Platform knowledge Must (in addition to the previous requirements) Please provide skill matrix and write-up with submission. Description: We are seeking a passionate and skilled ML Data Engineer to join our team in USA. You will play a pivotal role in building and maintaining the data infrastructure and pipelines for our cutting-edge Generative AI applications. You will collaborate closely with the Generative AI Full Stack Architect and MLOps Engineer
Position: ML Infrastructure Engineer Location: Mountain View, CA (Remote) Description: Experience in Machine Learning engineer or Infrastructure roles, with a focus on Machine Learning infrastructure. Proficiency in programming languages Python, Java Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure. Google Cloud Platform experience is strongly preferred. Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn). Knowl
Our customer is an American multinational technology company headquartered in San Ramon, California. Our customer is one of the world's largest technology companies based in Silicon Valley with operations all over the world. On this project, we are working with bleeding-edge big data technologies to develop a high-performance data analytics platform, which handles petabytes of data. Enhance fleet health data for evolving ML machine deployments through innovations like PRISM, SHAG, and Dark Sky.
About Us: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 9
We are looking for a machine learning engineer to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to execute tests and optimize the business' proprietary machine learning models and algorithms. Duties/Responsibilities: ? Design and develop machi
AI/ML Engineer 100% Remote 12+monthsContract Description: Design and develop real time AI - Neural Network solutions for railway maintenance equipment. Implementing appropriate ML algorithms. Write clean, documented code following best practices. Develop and implement communication protocols. Work independently and collaboratively with a motivated team. Generate requirements and design documentation. Plan for, design, and deliver testing, and tested products into the QA process. Apply communicat