37 Job openings found

Must have: Docker, Machine Learning, AWS/Azure cloud services, Python, Kubernetes, 9+ years of experience of commercial software development with at least 3+ years working within the Machine Learning / AI space, Experience working with Python, Docker, Kubernetes. Experience with Kubeflow, Seldon, Spark and AWS / Azure cloud service experience is a plus. Salary: ...

  Experience Range: 5 to 12 yrs (min 4 years relevant) Responsibilities: Enable Model tracking, model experimentation, Model automation Develop ML pipelines to support  Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubeflow, DataRobot, HopsWorks, Dataiku or any relevant ML E2E PaaS/SaaS. Work ...

AI Developer job brief Copy We are seeking a skilled AI Developer to join our team and lead the development of innovative artificial intelligence solutions. Your expertise in machine learning, deep learning, and data analysis will be critical in creating intelligent and transformative AI applications. You will work closely with cross-functional teams ...

  Please find the details below   Position : Data Scientist Location : Work from home Experience requirement : 3+ Years Joining Date : Immediate to 30 days      Job Description We are seeking a highly skilled and experienced Data Scientist to join our dynamic team. As a Data Scientist, you will play a critical role in analysing complex data sets, developing cutting-edge ...

We are hiring for the profile- Data Scientist  Skills Required Skills:Data Science, Machine Learning, Deep Learning, Python, NLP Desired Skills: Computer Vision Roles and responsibilities Experience in Data Modelling, R, Python, SQL, Data Science, Machine Learning, Deep Learning,NLP, Statistics Have ability to solve Business problems using Data Should possess extensive knowledge of and experience in applying data ...

Key Responsibilities  Model Development & Training  ○ Design, train, and fine-tune deep learning and machine learning models (transformers, CNNs, RNNs, gradient boosting, etc.).  ○ Implement data preprocessing pipelines, feature extraction, and  augmentation techniques.  ○ Conduct hyperparameter optimization and experiment management. ● Evaluation & Optimization  ○ Run model evaluations, benchmark against baselines, and perform ablation studies.  ○ ...

Position- ML Engineer Role & responsibilities-Requirements and Responsibility? Participate in discovery processes collaborating with key stakeholders to identify businessrequirements and expected outcomes.? Develop Neural Network models for information extraction from mortgage documentsusing Computer Vision and NLP techniques.? Deliver high-quality software based on best practices for data collection, modeling, andsoftware development? Design ...

Requirements: Overall 6+ years of work experience in relevant hands on experience handling data driven decisions Experience in various statistical and machine learning models, data mining, unstructured data analytics in corporate or academic research environments Must have strong of programming experience in R/Python Experience in machine learning techniques and algorithms, such as like-Classification, ...

Position Overview  We are seeking a skilled and versatile Full Stack AI Engineer with 7+ years of professional experience in software engineering with end-to-end application development and minimum 2+ years of artificial intelligence. The ideal candidate will play a key role in designing, developing, and deploying robust AI-powered applications, working across ...

Role : Application Developer  Role Description : Design, build and configure applications to meet business process and application requirements.  Must have Skills : Artificial Intelligence  Good to Have Skills :  No Technology Specialty  Job Requirements : A:Responsibilities  1:Work with business owners to map business requirements into technical solutions  2:Work with ...