Senior ML Engineer (AI Product)

5 - 9 years

0 Lacs

Posted:19 hours ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As an experienced ML professional, you will be responsible for developing and implementing ML solutions in enterprise environments. Your role will involve utilizing your expertise in Computer Vision, Natural Language Processing, Time Series Analysis & Forecasting, and MLOps & Model Deployment. Additionally, you will leverage your strong Python programming skills and proficiency in Deep Learning frameworks to build and deploy ML models on cloud platforms such as Azure/AWS. Your key responsibilities will include: - Leading AI discovery workshops with enterprise clients to identify opportunities for ML applications. - Designing and architecting scalable ML solutions that align with business objectives. - Evaluating technical environments and assessing data readiness for AI adoption. - Developing proof of concepts and prototypes for AI/ML models. - Building, optimizing, and deploying ML models using best practices in MLOps. - Collaborating with cross-functional teams to ensure seamless AI integration into enterprise workflows. - Providing technical expertise and strategic guidance in client-facing situations. Qualifications required for this role include: - 5+ years of experience developing and implementing ML solutions in enterprise environments. - Strong expertise in Computer Vision and/or Natural Language Processing, Time Series Analysis & Forecasting, and MLOps & Model Deployment. - Hands-on experience with data processing pipelines and cloud platforms (Azure/AWS). - Strong Python programming skills and proficiency in Deep Learning frameworks. - Understanding of data privacy, security regulations, and enterprise compliance requirements. - Excellent communication and presentation skills in English. - Ability to translate complex ML concepts into business-friendly insights. - Strong problem-solving and analytical thinking skills. - Passion for learning and staying up-to-date with AI trends and emerging technologies. It is nice to have an understanding of enterprise architecture and large-scale AI solution design.,

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