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AI Platform Engineer

Bengaluru Job No. atci-4221998-s1623330 Full-time
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Please be informed that at any given point in time, you can only have one "Active" application.

Please be informed that at any given point in time, you can only have one "Active" application.

Job Description

Project Role : AI Platform Engineer
Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing.
Must have skills : Machine Learning
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : BE

Summary: As an AI Platform Engineer, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with machine learning, deep learning, neural networks, chatbots, and natural language processing to create innovative solutions. Roles & Responsibilities: Data Analysis: Lead analytics projects using statistical and ML methods. Client Engagement: Partner with clients for analytics solutions; translate data insights into business strategies. Strategy: Boost growth by identifying new analytics capabilities. Mentorship: Guide junior data scientists; promote continuous learning. Collaboration: Work with IT and analysts to integrate data insights. R&D: Stay updated in data science; drive team innovation. Solution: Create scalable data science solutions aligned with client goals. Technical Experience: - Minimum 5 years hands on experience as a Data Scientist - Proficient in Python, SQL; libraries and framework like Tensorflow, PyTorch, Pandas. - Expertise in statistical modeling, ML, deep learning. Knowledge in Decision Tree, Random Forest, SVM, XGBoost, etc. - Proficient in using deep learning techniques in NLP, Computer Vision - Experience visualization tools like Matplotlib, Tableau. - Proficient in at least one cloud IBM, AWS, Azure, or GCP platforms Educational Qualification : - Bachelor’s or master’s degree in Computer Science, Statistics, or a related discipline. Good to have skills: Familiarity with big data technologies (e.g., Spark, Hadoop) and graph databases (e.g., Stardog, Neo4j). Understanding of generative AI tools and techniques. Familiarity with IBM WatsonX and related technologies. Additional Information : Excellent communication, problem-solving skills & ability to work in a collaborative environment.

Qualifications

BE

Please be informed that at any given point in time, you can only have one "Active" application.

Please be informed that at any given point in time, you can only have one "Active" application.

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