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Bizinso
AI / ML Engineer (Python, Applied AI, Production Systems)
Bizinso
Mumbai•On-site•3-6 Yrs•Jun 29
Job description
Overview
What are the benefits We provide cutting-edge solutions, excellent services right from consultation to deployment.
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
Qualifications
- 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
- 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)
- Strong grasp of statistics, probability, and data analysis
- AI / Advanced Capabilities (Good to Have)
- Familiarity with Large Language Models (LLMs) and prompt engineering
- 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
- 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 Were 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 mindsetyou 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)