Logo for Omni Reach

Junior AI & Data Engineer

Omni Reach

Role overview

Qualifications

  • Strong Python skills (pandas, NumPy, basic scikit‑learn)
  • Good understanding of Statistics (mean, variance, correlation, regression)
  • Basic knowledge of Linear Algebra (vectors, matrices)
  • Exposure to SQL and relational databases

Responsibilities

  • Assist in data collection, cleaning, transformation, and analysis for AI/ML projects
  • Write clean and efficient Python code for ETL pipelines and feature engineering
  • Support development of basic ML models (regression, classification, clustering) under guidance
  • Create dashboards, reports, and visualizations for data insights

Key facts

Hard skills

Other skills

  • Curiosity
  • Accountability
  • Communication
  • Teamwork
  • Problem Solving

About the company

Omni Reach logo

Omni Reach

Digital Transformation Consulting

Welcome to Omni Reach - Your Gateway to SAP Cloud Commerce Excellence!At Omni Reach, we stand as a pioneering force, dedicated to propelling e-commerce businesses through their pivotal growth stage with our unmatched SAP Commerce Cloud services. From the enchanting beaches of Florida, US, to the vibrant tech hub of Bangalore, India, our global footprint allows us to extend our exceptional solutions to clients across the world.Our dynamic team of SAP Commerce Cloud Professionals breathes life into the digital realms of commerce. We are more than just a company; we are a collective of visionaries who have mastered the art of turning possibilities into achievements.Navigating the ever-evolving landscape of e-commerce demands more than just innovation – it requires a symphony of precision and insight. Here at Omni Reach, we've orchestrated a team of trailblazers who hold the compass to commerce's future. Our professionals are not merely skilled; they are connoisseurs of transformation, armed with the wisdom to sculpt digital ventures into success stories.At the heart of our endeavor lies our commitment to empowering businesses with unparalleled SAP Commerce Cloud expertise. Our services encompass a spectrum of support, consultation, and guidance, all meticulously designed to optimize your commerce journey. We understand that every digital footprint is unique, which is why our solutions are crafted like pieces of art – distinct, impactful, and tailor-made.As you step into the world of Omni Reach, you're not just accessing services; you're unlocking a realm of digital metamorphosis. Join hands with us to redefine your e-commerce trajectory. Let's soar to new heights together, harnessing the power of SAP Commerce Cloud, and scripting the future of digital success.Welcome to Omni Reach – where commerce meets its digital zenith.

Company details

Company typeScaleup
IndustryDigital Transformation Consulting
Company size51 - 200

Links

Website LinkedIn See all jobs

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

This is a remote position.

We are hiring smart, analytical freshers and early‑career engineers for a Junior AI & Data Engineer role. This is a developmental position focused on building strong fundamentals in Data Science, Machine Learning, and Data Engineering.

You will support real‑world AI/ML initiatives and data pipelines under the mentorship of senior engineers and data scientists.


Key Responsibilities
  • Assist in data collection, cleaning, transformation, and analysis for AI/ML projects
  • Write clean and efficient Python code for ETL pipelines and feature engineering
  • Support development of basic ML models (regression, classification, clustering) under guidance
  • Create dashboards, reports, and visualizations for data insights
  • Document workflows, pipelines, and learnings
  • Learn and apply SQL best practices and cloud fundamentals (AWS/GCP/Azure)

Requirements

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

Good to Have / Preferred Skills
  • Exposure to cloud platforms (AWS, GCP, Azure)
  • Experience with ML models or Kaggle competitions
  • Familiarity with Jupyter Notebooks and basic REST APIs
  • Strong interest in mathematics + programming + problem‑solving

Soft Skills
  • Curiosity and eagerness to learn
  • Ownership and accountability
  • Ability to take feedback and improve rapidly
  • Clear communication and teamwork
  • Structured problem‑solving mindset

Benefits

  • Competitive compensation as per industry standards
  • Strong mentorship‑driven learning environment
  • Hands‑on exposure to enterprise AI & data problems
  • Clear growth path toward AI Engineer, ML Engineer, or Data Engineer roles
  • Collaborative, global, innovation‑focused culture

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Data Engineer Related jobs

WorldwideData Engineer

Other jobs at Omni Reach

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.