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Urgent! AI Developers & Data Engineers Job Opening In Mumbai – Now Hiring Trigyn Technologies

AI Developers & Data Engineers



Job description

Job Description:

Job Description

Key Responsibilities:

• Design, develop, and maintain scalable, efficient, and reliable systems to support GenAI and machine learning-based applications and use cases

• Lead the development of data pipelines, architectures, and tools to support data-intensive projects, ensuring high performance, security, and compliance

• Collaborate with other stakeholders to integrate AI and ML models into production-ready systems

• Work closely with non-backend expert counterparts, such as data scientists and ML engineers, to ensure seamless integration of AI and ML models into backend systems

• Ensure high-quality code, following best practices, and adhering to industry standards and company guidelines

Hard Requirements:

• Senior backend engineer with a proven track record of owning the backend portion of projects

• Experience collaborating with product, project, and domain team members

• Strong understanding of data pipelines, architectures, and tools

• Proficiency in Python (ability to read, write and debug Python code with minimal guidance)

Mandatory Skills:

• Machine Learning: experience with machine learning frameworks, such as scikit-learn, TensorFlow, or PyTorch

• Python: proficiency in Python programming, with experience working with libraries and frameworks, such as NumPy, pandas, and Flask

• Natural Language Processing: experience with NLP techniques, such as text processing, sentiment analysis, and topic modeling

• Deep Learning: experience with deep learning frameworks, such as TensorFlow, or PyTorch

• Data Science: experience working with data science tools

• Backend: experience with backend development, including design, development, and deployment of scalable and modular systems

• Artificial Intelligence: experience with AI concepts, including computer vision, robotics, and expert systems

• Pattern Recognition: experience with pattern recognition techniques, such as clustering, classification, and regression

• Statistical Modeling: experience with statistical modeling, including hypothesis testing, confidence intervals, and regressions


Required Skill Profession

Computer Occupations



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