AIML Engineer

Job opening at Remote Job

Location

Remote Job

Address

Remote Job

Employment

Full Time

Qualification

Any Graduate

Payment

10000 to 3000000

Date Posted

2024 Sep,20

HR

Shivansh

Contact

shivanshwhiteforce@gmail.com

Mobile

8770594707


Job description




AI/ML Engineer- India
Join a dynamic and forward-thinking team that is at the forefront of developing cutting-edge
solutions in the healthcare industry. In this role, you will be responsible for
designing and implementing advanced machine learning models with a focus on
deep learning, particularly using frameworks like PyTorch and TensorFlow. You
will work on Natural Language Processing (NLP) projects that will require your
expertise in Python, scikit-learn, and XGBoost. Additionally, you will
collaborate closely with business stakeholders, ensuring that technical
solutions align with business goals.
Required Skills
- Minimum 6 years of experience in machine learning with a strong focus on Python, scikitlearn, and XGBoost.
- Proficiency in deep learning modeling using PyTorch (preferred) and TensorFlow.
- Hands-on experience with NLP techniques and tools.
- Excellent communication skills with the ability to interface effectively with business
stakeholders.
Bonus Skills
- Previousexperience in insurance or risk modeling.
- Familiarity withgenerative AI/LLM technologies.
- Experience with UI development using Streamlit or similar frameworks.
- MLOps, deployment,or full-stack development experience.
https://www.droisys.com/
https://www.linkedin.com/company/droisys


Job requirements

  • Experience: 6 to 8 Year.
  • Education : Any Graduate
  • Specilization : b.com...
  • Skills :
    1 -Minimum6yearsofexperienceinmachinelearningwithastrongfocusonPython
    2 scikitlearn
  • Industry Type : IT-Software / Software Services
  • Status : Not Disclose.

Company Name : Droisys

Website

About Company

Droisys is an innovation technology company, with a reputation of delivering top engineering projects and teams to meet, execute, and solve complex business challenges Read more