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Senior Data Scientist - Artificial Intelligence/Machine Learning Job Opening In Mumbai – Now Hiring Skyleaf


Job description

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

Required Skill Profession

Mathematical Science Occupations


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