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MABASA / LINKEDIN

AI Engineer

Viraaj HR Solutions Private Limited

Location
Pune Division, Maharashtra, India
Work type
fulltime
Source publication date
Original publication date not confirmed
Source closing date
Not supplied — check original advert

Job description from the source

**About The Opportunity** A fast\-growing technology firm in the AI \& SaaS sector, we build and deploy enterprise\-grade machine learning and generative AI solutions that automate workflows, enhance customer intelligence, and drive decision\-making at scale. Our engineers work across the full AI lifecycle—from data ingestion and model training to deployment, monitoring, and continuous improvement—using modern tooling and cloud\-native architectures to deliver real business value. **Role \& Responsibilities** * Design, train, and deploy scalable ML models using frameworks like TensorFlow, PyTorch, and scikit\-learn for production environments. * Develop and optimize AI\-powered pipelines for classification, regression, NLP, or recommendation systems based on business use cases. * Collaborate with data scientists and software engineers to productionize models using MLOps practices on cloud platforms (AWS/Azure/GCP). * Integrate AI models into enterprise applications via REST/gRPC APIs and ensure low\-latency, high\-availability performance. * Monitor model drift, implement retraining workflows, and contribute to model explainability and fairness initiatives. * Write clean, maintainable code and document AI systems for scalability, compliance, and team knowledge sharing. **Skills \& Qualifications** * Must\-Have * Python * TensorFlow * PyTorch * scikit\-learn * MLflow * Docker * Git * REST API * Preferred * LangChain * FastAPI * Azure ML **Benefits \& Culture Highlights** * Opportunity to own high\-impact AI projects from concept to production. * Collaborative, fast\-paced engineering culture with mentorship from senior AI leads. * On\-site role in India with modern infrastructure and innovation\-focused work environment. Skills: scikit\-learn,ml,python,docker,git,tensorflow,pytorch

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