Machine Learning Engineer
Tata Consultancy Services is hiring a Machine Learning Engineer to work on various AI/ML projects based in Bhubaneswar. The role focuses on developing supervised and unsupervised models including NLP and computer vision tasks. The candidate will work extensively with Amazon SageMaker, Python, and modern ML frameworks like PyTorch and TensorFlow. This is an onsite position requiring hands-on experience in building and deploying inference services.
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Experience
3-12 years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Tata Consultancy Services is hiring a Machine Learning Engineer to work on various AI/ML projects based in Bhubaneswar. The role focuses on developing supervised and unsupervised models including NLP and computer vision tasks. The candidate will work extensively with Amazon SageMaker, Python, and modern ML frameworks like PyTorch and TensorFlow. This is an onsite position requiring hands-on experience in building and deploying inference services.
TAL's take
Role at a large scale IT services company with clear technical requirements, balanced by a broad experience range.
The JD clearly defines the required ML algorithms, model types, cloud infrastructure, and software frameworks.
Salaries at Tata Consultancy Services
9.2 LPA average
Based on 27 Grapevine salary entries for Tata Consultancy Services.
Other roles
0 - 2 years | C1Y
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2 - 4 years | C1Y
6 LPA average
Range: 3 - 14 LPA
Other roles
4 - 6 years | C1
6 LPA average
Range: 5 - 12 LPA
Other roles
6 - 8 years
11 LPA average
Range: 11 - 11 LPA
Must haves
- Strong understanding of supervised and unsupervised ML algorithms
- Experience with NLP, Computer Vision, or time-series models
- Amazon SageMaker (Studio, Pipelines, Endpoints, Model Monitor)
- Strong proficiency in Python
- Hands-on with scikit-learn, TensorFlow, PyTorch
- REST APIs, inference services using FastAPI / Flask
Tools and skills
About the company
TCS is a global IT services organization; while a major employer, it is categorized as Tier 2 due to its nature as a services/staffing firm.
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