Remote Machine Learning Engineer

1 week ago


Hyderabad, Telangana, India SRISAN GROUP INC Full time
# ; Hiring: AI/ML Engineer @ Apple – Offshore Team (Remote, Full-Time, Hyderabad, Telangana)

Location: Hyderabad, Telangana (Remote within India)

Client: Apple (Offshore team)

Compensation: ₹25 LPA – ₹48 LPA (depends on experience)

Experience: 3+ years (Multiple Positions)

Minimum Qualifications

Bachelors or M.S. in Computer Science (or related fields) or equivalent experience

Expert in Python programming and tensor operations, including

Expert in at least one ML framework (PyTorch preferred but TensorFlow or JAX are also fine), including flash-attention, efficient kv-caching, DDP and FSDP

Hands-on experience in establishing ML benchmarks (data, models, metrics)

Involvement with open-source projects and experience with collaborative software development

Excellent communication skills

Readiness to encounter unforeseen challenges and to solve them

Preferred Qualifications

Bachelors or M.S. in Computer Science (or related fields) or equivalent experience

Expert in Python programming and tensor operations, including

Expert in at least one ML framework (PyTorch preferred but TensorFlow or JAX are also fine), including flash-attention, efficient kv-caching, DDP and FSDP

Hands-on experience in establishing ML benchmarks (data, models, metrics)

Active development in open-source projects and experience with collaborative software development

Experience with CUDA programming, and/or High-Performance Computing and/or distributed computing

Excellent communication skills

Readiness to encounter unforeseen challenges and to solve them

Past research experience

C++ programming is a plus

MLX experience is a plus

Description

Work with researchers on the team to build high-performance and scalable software addressing novel ML research algorithms. Apply solid software engineering skills, leverage experience to deal with the unexpected, explore research software solutions and pave the way to future Machine Learning toolboxes. Be part of a small team dedicated to advancing ML algorithms and techniques — Is this you? If so, we'd love to hear from you

(Compensation range is indicative and will vary based on years of experience and skill fit.)

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