Job Overview
Company
Digivance Solution
Category
Computer Occupations
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Job Description
<p><p><b>Description :</b></p><br/><p><br/>We are seeking a highly skilled and experienced AI/ML Engineer to join our dynamic team.
The ideal candidate will have a strong background in developing, deploying, and optimizing machine learning models, with hands-on experience in cutting-edge AI/ML frameworks and tools.
You will work closely with cross-functional teams, including data engineering, to build scalable and efficient ML solutions that drive business value.<br/><br/><b>Key Responsibilities :</b></p><p><b><br/></b></p><br/><p>- Design, develop, and deploy robust AI/ML models tailored to solve complex business problems.<br/><br/>- Build and maintain machine learning pipelines for real-time and batch processing of data.<br/><br/>- Implement model optimization, monitoring, and troubleshooting strategies to ensure high performance in production environments.<br/><br/>- Collaborate closely with data engineering teams to integrate ML models with data platforms and streaming tools like Kafka.<br/><br/>- Utilize TensorFlow, PyTorch, and scikit-learn frameworks for model development.<br/><br/>- Ensure code quality, maintainability, and scalability in AI/ML solutions.<br/><br/>- Stay updated with the latest trends and best practices in AI/ML technologies and tools.<br/><br/>- Participate in architectural discussions and contribute to the continuous improvement of AI/ML infrastructure and workflows.<br/><br/><b>Required Skills & Qualifications :</b></p><p><b><br/></b></p><br/><p>- Minimum 7 years of hands-on experience in AI/ML model development and deployment.<br/><br/>- Strong programming skills in Python with experience in building and maintaining ML pipelines.<br/><br/>- Proficiency with AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn.<br/><br/>- Experience with real-time data processing tools, especially Kafka.<br/><br/>- Proven track record of productionizing, optimizing, and monitoring machine learning models at scale.<br/><br/>- Ability to collaborate effectively with data engineering and other cross-functional teams.<br/><br/><b>Preferred Skills (Good to Have) :</b></p><p><b><br/></b></p><br/><p>- Familiarity with object storage systems such as MinIO or AWS S3.<br/><br/>- Experience working with cloud-based AI platforms like AWS SageMaker or equivalent.<br/><br/>- Understanding of cloud infrastructure and deployment best practices for AI/ML workloads.</p><br/></p> (ref:hirist.tech)
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