OMFYS Technologies India Pvt. Ltd.

AI/ML Engineer
Pune
April 10, 2026
Full Time Training

Job Description

About Company:

OMFYS is a one stop source for Digital Transformation solutions and services. OMFYS is a global IT company, has presence in India, UAE, UK and USA. OMFYS provides solutions and services for enterprise business processes digital transformation.
Key offerings of OMFYS includes; business rule engine automation, business process management workflow automation, predictive analytic platform, visualization solutions, digital assistant platform (AI ChatBot) solutions, RPA & Cognitive Solutions, middleware solutions, and other cutting edge technology Integration Solutions on Cloud.
OMFYS has highly skilled, well trained and motivated team ready to work cohesively to deliver business process digital transformation solutions and services across India, UK, US & APAC regions. The business operations across the globe are efficiently supported by the company’s development canters located in India, UK and US.

Company Name: OMFYS Technologies India Pvt. Ltd.

Experience: Fresher.

Role: AI/ML Engineer.

Job Location: Pune.

Eligibility Criteria:  

  • Qualification: BE/B. Tech(CS/IT/AI/Data Science),MCA.
  • Pass out Year: 2023/2024/2025.
  • Percentage Criteria: NA.
  • Any Bond: 2.5 Years.
  • Certificate(If Any): No.

Package Details:

  • Stipend During 6 Months of Training Period: Rs.10,000/- Per Month.
  • Approx. Package After 6 Months of Training Period: Rs.3,00,000/- Per Annum.

Roles & Responsibilities:

  1. Develop and implement AI/ML models for real-world applications
  2. Work on Generative AI and LLM-based solutions
  3. Build and optimize RAG pipelines
  4. Perform data preprocessing, analysis, and visualization
  5. Collaborate with cross-functional teams to deploy AI solutions
  6. Create interactive dashboards and reports using Tableau and Power BI

Required Skills:

  1. Excellent communication skills
  2. Strong understanding of Generative AI (Gen AI)
  3. Experience with Retrieval-Augmented Generation (RAG)
  4. Knowledge of Machine Learning (ML) concepts and techniques
  5. Familiarity with Large Language Models (LLMs)
  6. Good understanding of Data Science concepts
  7. Proficiency in Python libraries such as:
  • NumPy
  • Pandas
  1. Experience with Data Visualization tools:
  • Tableau
  • Power BI

9. Understanding of model development, training, and evaluation processes

Location

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