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.
| Category | Details |
|---|---|
| Company | OmniReach |
| Job Role | Junior AI & Data Engineer |
| Experience | 0–1 Year (Freshers Eligible) |
| Location | Remote |
| Work Model | Fully Remote |
| Employment Type | Full-Time |
| Industry | Artificial Intelligence & Analytics |
| Department | AI / Data Engineering |
| Role Category | Entry-Level AI & Data Engineering |
| Criteria | Details |
|---|---|
| Minimum Qualification | Bachelor’s Degree |
| Eligible Degrees | Engineering / Computer Science / Data / Mathematics or Related |
| Eligible Batches | Recent Graduates & Final-Year Graduates |
| Ideal Background | Strong interest in Math, Data, Python & Problem Solving |
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.
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.
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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