AI ML Engineer

4 days ago

Ahmedabad, Gujarat, India Shivohm Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Company Profile :

30+ Years old South Western, USA Based Company
 who has started operations in India since October 2018 with a current team of 
180+ members
 and offering best-in-class salary along with several employee-friendly policies such as:

  • 5 Days a week
  • Flexi Timings
  • Flexi Basket (Design your own salary)
  • Group Personal Accident Policy (20 Lakh Rupees)
  • Family Mediclaim (5 Lakh)
  • Free Tea, Snacks & Refreshments
  • Annual Appraisals
  • Employee Referral Policy
  • 24 Paid Leaves (Annual)
  • Skill Development Training
  • Friendly Team Environment
  • Several Employee Reward Programs
  • 10 Public Holidays
  • Recreation Facility (Table Tennis, Chess, Snooker, Carrom Board, etc.)
  • And Many More....

 
Weblink:
 

A detailed personal discussion on the role and benefits would give you a better understanding about the company. It would be much appreciated if you can revert back with your availability in order to discuss the position in detail.

Job Description:
AI
/
ML
Engineer

Experience Required:
 3+ years of relevant working experience

Key Responsibilities:

  • Design, develop, and deploy scalable 
    AI
    /
    ML
     models for real-world business applications.
  • Work on data preprocessing, feature engineering, model training, and optimization.
  • Collaborate with cross-functional teams (Product Owners, Data Engineers, Architects) to integrate 
    ML
     solutions into production systems.
  • Implement deep learning, natural language processing (NLP), or computer vision models based on project requirements.
  • Optimize 
    ML
     pipelines for scalability and performance in cloud/on-prem environments.
  • Research and evaluate emerging 
    AI
    /
    ML
     frameworks, tools, and methodologies.
  • Monitor and maintain deployed models, ensuring performance and accuracy over time.
  • Create technical documentation, reports, and model explainability artifacts.

Technical Skills Required:

  • Proficiency in 
    Python
     and 
    ML
     libraries such as 
    TensorFlow, PyTorch, scikit-learn, Keras
    .
  • Strong understanding of 
    Machine Learning, Deep Learning, and Data Science principles
    .
  • Experience with 
    NLP, Computer Vision, or Recommendation Systems
     is a plus.
  • Hands-on experience with 
    SQL/NoSQL databases
     and writing complex queries.
  • Knowledge of 
    API development and integration
     for 
    ML
     services.
  • Exposure to 
    cloud platforms (AWS, Azure, GCP)
     for 
    ML
     model deployment.
  • Good understanding of 
    ML
    Ops, CI/CD pipelines, and containerization (Docker, Kubernetes)
    .
  • Strong problem-solving and analytical skills with attention to detail.

Soft Skills:

  • Ability to understand business requirements and translate them into technical solutions.
  • Strong communication skills, both verbal and written.
  • Self-directed, motivated, and able to work in a collaborative team environment

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