AI / ML Engineer (Python, Applied AI, Production Systems)

We are seeking a hands-on AI/ML Engineer who enjoys transforming real-world business problems into intelligent, scalable solutions. This role is ideal for someone who understands that AI is not just about models, but also about data pipelines, deployment, performance, and impact.

At Bizinso, you’ll work on real-world AI use cases across domains like ERP, CRM, finance, operations, analytics, automation, and decision intelligence—not toy projects or academic experiments.

Key Responsibilities

• Design, build, and optimise machine learning and AI models for real production use

• Develop and maintain end-to-end ML pipelines (data ingestion → training → evaluation → deployment)

• Work extensively with Python to implement AI/ML solutions

• Apply supervised, unsupervised, and semi-supervised learning algorithms

• Implement NLP, recommendation systems, forecasting, classification, clustering, and anomaly detection models

• Collaborate with backend and frontend teams to integrate AI models into live products

• Optimise models for performance, scalability, and reliability

• Conduct model validation, tuning, monitoring, and retraining

• Document model logic, assumptions, and performance for business and technical stakeholders

• Stay updated with the latest trends in AI/ML, LLMs, and applied data science

Required Skills & Qualifications (SEO-Optimised)

Core Technical Skills for an AI/ML Engineer

• Strong proficiency in Python for AI/ML development

• Having a minimum 3-4 years of experience.

• Solid understanding of machine learning algorithms:

  • Linear & Logistic Regression

  • Decision Trees, Random Forest, Gradient Boosting

  • SVM, KNN

  • Clustering (K-Means, DBSCAN, Hierarchical)

  • Dimensionality Reduction (PCA, t-SNE)

• Hands-on experience with ML libraries & frameworks:

  • NumPy, Pandas, Scikit-learn

  • TensorFlow / PyTorch (at least one)

• Experience working with structured and unstructured data

• Strong grasp of statistics, probability, and data analysis

AI / Advanced Capabilities (Good to Have)

• Experience with Natural Language Processing (NLP)

• Familiarity with Large Language Models (LLMs) and prompt engineering

• Experience with recommendation engines or predictive analytics

• Understanding of MLOps concepts (model deployment, monitoring, retraining)

• Exposure to REST APIs for model serving

• Knowledge of Docker, cloud platforms (AWS/GCP/Azure/DigitalOcean) is a plus

Data & Backend Exposure

• Experience working with SQL databases (MySQL, PostgreSQL)

• Familiarity with NoSQL / analytical databases (optional but valuable)

• Understanding of data pipelines, ETL processes, and data validation

• Ability to work closely with backend systems (Java / Laravel / Node / Python APIs)

What We’re Really Looking For

• Someone who thinks beyond notebooks and understands production realities

• Strong problem-solving mindset, not just model fitting

• Ability to explain complex AI concepts in simple business language

• Ownership mindset—you build it, you improve it, you scale it

• Curiosity, learning agility, and a passion for applied AI

Why Join Bizinso?

• Work on real, high-impact AI projects (not demos)

• Exposure to enterprise-grade platforms (ERP, CRM, finance, analytics)

• Opportunity to shape AI strategy and architecture, not just code

• Collaborative, growth-focused environment

• Direct interaction with founders, architects, and decision-makers

• Learn how AI actually drives business outcomes

How to Apply

Send your resume and/or GitHub/portfolio to: careers@bizinso.com
(or apply directly through our careers page)