
AI/ML Engineer
2 weeks ago
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Develop and deploy scalable AI/ML models and applications (NLP, computer vision, recommendation systems, generative AI).
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Build robust data pipelines for training and inference.
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Work with data scientists and engineers to move research prototypes into production.
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Optimize models for performance, latency, and scalability in real-world environments.
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Integrate AI capabilities into products, platforms, or customer-facing applications.
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Conduct experiments, model evaluation, and A/B testing to validate performance.
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Collaborate on MLOps and CI/CD practices for seamless deployment and monitoring.
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Stay up to date with AI/ML research and emerging technologies, applying them where relevant.
Requirements
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Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field.
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3–6 years of professional experience in AI/ML engineering or related roles.
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Strong programming skills in Python (preferred) and experience with frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn.
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Experience in NLP, computer vision, or generative AI (LLMs, transformers, diffusion models).
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Proficiency with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes).
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Understanding of MLOps practices, model lifecycle management, and deployment at scale.
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Solid knowledge of data structures, algorithms, and software engineering best practices.
Benefits
In-house Training and Development.
Convenient IPD insurance plan.
Fitness encourages gym reimbursements.
Freshly made in-house daily lunch meals.
A facilitating system of 25 paid leaves every fiscal year.
A profitable leave Encashment procedure.
Maternity/Paternity Leaves.
Network expanding referral bonus.
Interactive and classy annual trips/dinners.
Recreational activities.
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