24 Job openings found

Role : Technical Architect  Role Description : Review and integrate all application requirements, including functional, security, integration, performance, quality and operations requirements. Review and integrate the technical architecture requirements. Provide input into final decisions regarding hardware, network products, system software andsecurity.                                                                                                                                                                                                                         Must have Skills : Natural Language Processing (NLP), Machine Learning, IBM ...

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 ...

Qualification: Any Graduate, PG with min 3 yrs exp in Python, AI, ML & NLP.Working: Virtual / Freelancer Job description:Defining systems and application architecture.Defining the scope of the engagement and planning timelines.Must have prior experience in leading projects for Resume parser/Parsing.proficient in Python, AI, Natural language processing, Machine Learning.Development experience using ...

level 8  Role : AI/ML - R&D Developer PhD(Computers background) from premium institution only Corporate experience with team handling experience of 2-3 people Should have experience in delivering end to end AI project(with a team of 2-3 people) Excellent communication and presentation skills   Converting a business problem into tractable technical problems Design scalable architecture for technical ...

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 ...

      Roles and responsibilities ·        Enable the power of data analytics in the medical/healthcare domain. ·        Enable the power of data science in the Marketing/customer analytics domain. ·        Work with multiple business units to develop solutions and accelerators for high-performance and scalable AI.  ·        Discover customer and patient findings/potential insights using advanced analytics techniques such as NLP, statistical analysis, ...

  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 ...

Experience Range: 5 to 12 yrs (min 4 years relevant)   Required Qualifications:     2+ years of machine learning and data science experience   3+ years of experience with Python, classical ML methods and deep learning, including deep learning frameworks such as PyTorch or Tensorflow    2+ years leading projects with solid technical communication skills, including demonstrated technical ...

Job Description:VCS is seeking a talented and motivated Junior Machine Learning Engineer to join our team.As a Junior Machine Learning Engineer, you will work closely with our experienced datascientists and engineers to develop, implement, and deploy machine learning models andsystems. You will have the opportunity to work on exciting projects ...

- 5-7 years of professional experience in data science, with a proven track record ofdelivering impactful solutions in a business setting.- Strong proficiency in machine learning techniques and algorithms, including supervisedand unsupervised learning, deep learning, and reinforcement learning.- Extensive experience in natural language processing (NLP) techniques and frameworks,such as NLTK, ...