Data Scientist - Artificial Intelligence/Machine Learning Models

<p><p><b>Description:</b><br/><br/>- Design, develop, and maintain backend services and APIs to support AI/ML applications at scale.<br/><br/>- Productionize ML and deep learning models, ensuring efficiency, reliability, and low-latency inference.<br/><br/>- Build scalable microservices and REST/gRPC APIs for deploying AI solutions in enterprise environments.<br/><br/>- Optimize AI model serving using frameworks such as TensorRT, ONNX Runtime, Triton Inference Server, or FastAPI.<br/><br/>- Implement MLOps practices including model versioning, monitoring, and automated deployments.<br/><br/>- Collaborate with AI researchers, data scientists, and product managers to translate prototypes into production-ready systems.<br/><br/>- Ensure robustness, fault tolerance, and security in backend AI systems.<br/><br/>- Integrate AI services with enterprise data platforms, cloud systems, and third-party APIs.<br/><br/>- Contribute to architecture discussions, design reviews, and performance tuning.<br/><br/>- Mentor junior engineers and contribute to best practices in AI software engineering.<br/><br/><b>Educational & Experience requirements :</b><br/><br/>- Bachelors degree with at least 7 years of experience or Masters with at least 4 years of experience in Computer Science, Software Engineering, Data Science, or related fields.<br/><br/>- Preferred to have degree from a Tier-1/2 institute (IIT/IISc/NITs if studied in India) or a globally top-ranked university (as per QS).<br/><br/><b>Technical Requirements :</b><br/><br/>- Strong proficiency in Python and backend frameworks (FastAPI).<br/><br/>- Expertise in Prompt engineering and working with various LLMs.<br/><br/>- Experience in productionizing AI/ML models with efficient inference pipelines.<br/><br/>- Hands-on experience with model deployment frameworks (Triton, TensorRT, TorchServe, ONNX Runtime).<br/><br/>- Knowledge of cloud platforms (Azure, GCP) and container technologies (Docker).<br/><br/>- Strong experience with microservices architecture, CI/CD pipelines, and monitoring tools (Prometheus, Grafana).<br/><br/>- Familiarity with databases (SQL/NoSQL) and scalable data storage solutions.<br/><br/>- Exposure to LLMs, SLMs, and GenAI model integration into backend systems is a strong plus.<br/><br/>- Understanding of security, authentication, and performance optimization in large-scale systems.<br/><br/>- Experience with version control (Git) and Agile development practices.<br/><br/><b>Behavioral Requirements:</b><br/><br/>- Excellent problem-solving skills and attention to detail.<br/><br/>- Strong written and verbal communication skills in English.<br/><br/>- Ability to work collaboratively in cross-functional teams.<br/><br/>- Passion for building reliable backend systems that bring AI models into real-world impact.</p><br/></p> (ref:hirist.tech)