Role & Company Overview
📋 Role Overview & Responsibilities
Skill: Machine Learning Python Developer
Candidate should have practical experience in implementing machine learning project end to end. They should be able to clearly explain the problem, machine learning solution and how it effectively addresses the issue. What was their specific role?Experience with tensor flow, kafka would be a huge plus. Candidate to demonstrate sound understanding of the implementation. This LOB has no machine learning implementation, but opportunities do exist to leverage machine learning to make various processes efficient. Candidate should be able to work independently, understand bank’s process and get things moving. Customer is not expecting this candidate to learn on the job. Proven experience as a Machine Learning Engineer or similar role. Understanding of data structures, data modeling and software architecture. Deep knowledge of math, probability, statistics and algorithms. Ability to write robust code in Python, Java and R.Familiarity with machine learning frameworks (like Keras or PyTorch ) and libraries (like scikit-learn). Excellent communication skills. Ability to work in a team. Outstanding analytical and problem-solving skills.
Frequently Asked Questions
How do I apply for the Developer position at Tata Consultancy Services? ▼
Click the “Apply for this Position” button on this page to submit your application directly to Tata Consultancy Services without recruitment intermediary fees.
Is this position eligible for remote work or visa sponsorship? ▼
This position is located in New York, NY with potential relocation and sponsorship assistance depending on candidate qualifications.
Are there any candidate fees on Hirely? ▼
No. Hirely is completely free for candidates. We never charge registration fees or placement fees.
Legitimate employers will never ask you to transfer funds, purchase equipment from unauthorized vendors, or pay application/visa fees. Hirely rigorously monitors listings, but always verify communication is from official corporate email domains.
Learn how to protect yourself against employment fraud