Padmi

C Engineer

Delhi NCRPosted 3 months ago
Software engineeringMid-levelFull Time; Regular
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As an AI/ML Engineer at Gemtech PARAS, you will play a crucial role in turning cutting-edge research into production-ready reality. Your primary focus will be on building robust software engineering solutions infused with advanced machine learning capabilities. Here are the key responsibilities and qualifications required for this role: Key Responsibilities: - Advanced proficiency in Python, including NumPy, Pandas, scikit-learn, and PyTorch/TensorFlow. - Experience in backend service development using FastAPI. - Building and maintaining pipelines with vector infrastructure tools such as FAISS, AWS Open Search, or similar vector databases. - High proficiency in either AWS (SageMaker, Lambda, ECS, Step Functions) or Azure (Azure OpenAI, Functions, App Services) within cloud ecosystems. - Strong grasp of MLOps & DevOps practices, including monitoring, versioning (MLflow), and CI/CD pipelines (Jenkins, GitHub Actions). - Leading end-to-end ML/GenAI workflows, from data ingestion and preprocessing to deployment and inference. - Architecting robust GenAI systems, including API design, data pipelines, and scalable monitoring. - Collaborating with cross-functional teams to integrate AI capabilities into dynamic applications for seamless user experiences. - Writing high-quality, testable code and conducting rigorous unit/integration testing to ensure system reliability. - Resolving complex performance and reliability issues across diverse environments. Qualifications Required: - 4+ years of professional experience as an AI, ML, or Software Engineer, specifically focused on building production-grade applications. - Bachelors degree in Computer Science, Information Technology, or Software Engineering. - Strong software background with experience in version control (Git) and Agile development. At Gemtech PARAS, we are dedicated to revolutionizing how organizations discover, evaluate, and secure complex contracts. Join us in our mission to streamline the RFP analysis and bid execution process with speed, clarity, and control. As an AI/ML Engineer at Gemtech PARAS, you will play a crucial role in turning cutting-edge research into production-ready reality. Your primary focus will be on building robust software engineering solutions infused with advanced machine learning capabilities. Here are the key responsibilities and qualifications required for this role: Key Responsibilities: - Advanced proficiency in Python, including NumPy, Pandas, scikit-learn, and PyTorch/TensorFlow. - Experience in backend service development using FastAPI. - Building and maintaining pipelines with vector infrastructure tools such as FAISS, AWS Open Search, or similar vector databases. - High proficiency in either AWS (SageMaker, Lambda, ECS, Step Functions) or Azure (Azure OpenAI, Functions, App Services) within cloud ecosystems. - Strong grasp of MLOps & DevOps practices, including monitoring, versioning (MLflow), and CI/CD pipelines (Jenkins, GitHub Actions). - Leading end-to-end ML/GenAI workflows, from data ingestion and preprocessing to deployment and inference. - Architecting robust GenAI systems, including API design, data pipelines, and scalable monitoring. - Collaborating with cross-functional teams to integrate AI capabilities into dynamic applications for seamless user experiences. - Writing high-quality, testable code and conducting rigorous unit/integration testing to ensure system reliability. - Resolving complex performance and reliability issues across diverse environments. Qualifications Required: - 4+ years of professional experience as an AI, ML, or Software Engineer, specifically focused on building production-grade applications. - Bachelors degree in Computer Science, Information Technology, or Software Engineering. - Strong software background with experience in version control (Git) and Agile development. At Gemtech PARAS, we are dedicated to revolutionizing how organizations discover, evaluate, and secure complex contracts. Join us in our mission to streamline the RFP analysis and bid execution process with speed, clarity, and control.

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