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OmniReach Junior AI & Data Engineer Jobs 2025 | Remote | Freshers & Early Career

February 9, 2026

OmniReach is hiring Junior AI & Data Engineers for a fully remote, full-time role. This opportunity is ideal for freshers and early-career engineers (0–1 year) who are passionate about data, mathematics, Python programming, and machine learning fundamentals.

The role is designed as a developmental pathway where you’ll work on real-world data problems, support AI/ML solutions, and build data pipelines under the mentorship of experienced engineers and data scientists—while collaborating on global projects across multiple regions.


Quick Job Overview – OmniReach Junior AI & Data Engineer

Table 1: Job Details

CategoryDetails
CompanyOmniReach
Job RoleJunior AI & Data Engineer
Experience0–1 Year (Freshers Eligible)
LocationRemote
Work ModelFully Remote
Employment TypeFull-Time
IndustryArtificial Intelligence & Analytics
DepartmentAI / Data Engineering
Role CategoryEntry-Level AI & Data Engineering

Table 2: Education & Eligible Batches

CriteriaDetails
Minimum QualificationBachelor’s Degree
Eligible DegreesEngineering / Computer Science / Data / Mathematics or Related
Eligible BatchesRecent Graduates & Final-Year Graduates
Ideal BackgroundStrong interest in Math, Data, Python & Problem Solving

Role Overview – Junior AI & Data Engineer at OmniReach

As a Junior AI & Data Engineer, you’ll assist in building data pipelines and machine learning solutions while strengthening your fundamentals in data science, ML, and data engineering. This role emphasizes hands-on learning, structured mentorship, and exposure to cloud-based and analytics-driven systems used in real production environments.


Key Responsibilities

  • Assist in data collection, cleaning, transformation, and analysis
  • Write clean and efficient Python code for ETL, feature engineering, and data prep
  • Support development of basic machine learning models (regression, classification, clustering)
  • Create dashboards, reports, and simple visualizations for insights
  • Document workflows, processes, and technical learnings
  • Learn and apply SQL best practices and cloud fundamentals (AWS / GCP / Azure)

Required Skills

  • Strong Python skills (pandas, NumPy, basic scikit-learn)
  • Solid understanding of Statistics (mean, variance, correlation, regression)
  • Basic Linear Algebra concepts (vectors, matrices)
  • Exposure to SQL and relational databases
  • Strong analytical and logical thinking
  • Willingness to learn Machine Learning, MLOps, and Data Engineering
  • Ability to work independently in an agile, fast-paced environment

Preferred (Nice-to-Have) Skills

  • Exposure to AWS, GCP, or Azure
  • Experience with ML projects or Kaggle competitions
  • Familiarity with Jupyter Notebooks and REST APIs
  • Strong interest in mathematics + programming + problem solving

Why Join OmniReach?

OmniReach delivers digital transformation and commerce enablement through Cloud, Microservices, AI, Data Science, and Security. Employees gain exposure to global projects, modern technologies, and a strong learning-focused culture—making it an excellent launchpad for a long-term career in AI and data engineering.


FAQs – OmniReach Junior AI & Data Engineer Jobs 2025

1. Is this role open to freshers?
Yes. This role is specifically designed for freshers and candidates with up to 1 year of experience.

2. Is this a remote job?
Yes. The Junior AI & Data Engineer position is fully remote.

3. What programming language is most important for this role?
Python is the primary language, especially for data analysis, ETL, and basic machine learning tasks.

4. Are advanced machine learning skills required?
No. Only basic ML concepts are required. You’ll learn and grow into advanced ML and MLOps practices over time.

5. Is cloud experience mandatory?
Cloud experience is not mandatory, but basic exposure to AWS, GCP, or Azure is a plus.

6. What educational background is preferred?
Candidates with degrees in engineering, computer science, data-related fields, or mathematics are preferred.

7. What type of projects will I work on?
You’ll support real-world data and AI projects, including data pipelines, analytics, and entry-level ML models.

8. What growth opportunities does OmniReach provide?
OmniReach offers mentorship, global project exposure, and a structured learning path toward Data Engineer, ML Engineer, or AI Engineer roles.


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Experience
0 - 1
Work Level
Entry-Level, Experienced, Fresher, Mid-Level
Employment Type
Full Time, Work-from-Home
Salary
6 - 10 LPA
Omni Reach
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