Lead end-to-end design, development, and deployment of AI / ML models
Work closely with stakeholders to identify business problems that can be solved using AI / ML
Architect scalable ML solutions and guide the team through experimentation, prototyping, and production deployment
Conduct code reviews, mentor junior engineers, and ensure best practices in ML workflows and software engineering
Collaborate with data scientists, software developers, and product managers to deliver high-impact solutions
Stay up to date with the latest research and advancements in the AI / ML ecosystem
Ensure performance, accuracy, and reliability of deployed models through monitoring and continuous improvement
Own project delivery timelines and manage sprint planning, resource allocation, and task Qualifications :
Bachelors in Computer Science, Engineering, Data Science, or a related field
48 years of experience in building and deploying ML models in real-world applications
Proficient in Python and ML libraries / frameworks like TensorFlow, PyTorch, scikit learn, etc.
Solid understanding of algorithms in supervised, unsupervised, and deep learning
Experience with data preprocessing, feature engineering, and model evaluation
Familiarity with cloud platforms (AWS, GCP, or Azure) and ML Ops practices
Strong problem-solving and leadership skills with the ability to take to Have :
Experience with NLP, computer vision, or time-series analysis
Knowledge of containerization (Docker, Kubernetes) and model deployment pipelines
Contributions to open-source projects or published research
Experience managing a team or leading cross-functional projects
(ref : hirist.tech)
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Artificial Learning • Hyderabad
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