Applied AI /ML
JPMorganChase is hiring an Applied AI/ML Lead in Hyderabad to join their Commercial & Investment Bank Payments Technology team. The role focuses on delivering scalable machine learning models and data pipelines to optimize business results. Candidates must have strong expertise in ML frameworks, data structures, and programming in Java or Python. This position involves both individual technical contributions and leading a team of ML scientists.
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Experience
3+ years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
JPMorganChase is hiring an Applied AI/ML Lead in Hyderabad to join their Commercial & Investment Bank Payments Technology team. The role focuses on delivering scalable machine learning models and data pipelines to optimize business results. Candidates must have strong expertise in ML frameworks, data structures, and programming in Java or Python. This position involves both individual technical contributions and leading a team of ML scientists.
TAL's take
Strong role at a major global financial institution with clear leadership and technical impact requirements.
The JD clearly defines the team, the technical expectations, and the leadership responsibilities.
Salaries at JPMorganChase
24.4 LPA average
Based on 9 Grapevine salary entries for JPMorganChase.
Other roles
2 - 4 years | L1
20 LPA average
Range: 15 - 24 LPA
Other roles
4 - 6 years | 20.5 lpa
18 LPA average
Range: 15 - 21 LPA
Other roles
6 - 8 years | AVP
34 LPA average
Range: 34 - 34 LPA
Other roles
14 - 16 years | 602
35 LPA average
Range: 35 - 35 LPA
Must haves
- 3+ years of experience in computer science or related field
- Solid programming skills in Java, Python, or equivalent
- Expertise in ML frameworks like Tensorflow or PyTorch
- Experience with ETL pipelines and NoSQL databases
- Deep knowledge of algorithms, data structures, and statistics
Tools and skills
Nice to have: google cloud, amazon web service, azure, docker, kubernetes, hadoop, hive, spark, kafka, distributed system design.
About the company
Global financial institution with extensive engineering presence but not a pure-play tech unicorn.
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