Senior Machine Learning Engineer

4 weeks ago

Bengaluru, India Quantiphi Full time

About The Company:

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of the business. Quantiphi solves the toughest and most complex business problems by combining deep industry experience, disciplined cloud and data engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed. We are passionate about our customers and obsessed with problem-solving to make products smarter, customer experiences frictionless, processes autonomous, and businesses safer by detecting risks, threats, and anomalies. Together with partners and customers, we embark on a data and AI- led transformation journey that delivers impactful and measurable results.


Experience Level: 3 to 6 years

Location: Mumbai / Bangalore (hybrid)


Roles & Responsibilities:

● Work with development teams and product managers to ideate development solutions

● Understand the client-side/business needs and form appropriate user stories while converting them to technical features of the solution

● Contribute Building the end-to-end production grade ML applications

● Develop and manage well-functioning LLM/GenAI/ML/DL/NLP models and processes

● Write effective training and inference pipelines

● Test software/application to ensure responsiveness and efficiency

● Troubleshoot, debug and upgrade application

● Ideate and implement solutions to drive business impact through AI and cloud

● Build efficient applications in performance and computation.



Skills Required:

● 3 to 6 years of proven experience as a Machine Learning Engineer or similar role

● Experience developing GenAI/LLM/ML/AI/DL applications

● Strong technical and theoretical knowledge of AI/AL (Transformers, Distributed Training,

Large Language Models) and open source models like Llama, Mistral etc.

● Familiarity with common stacks

● Knowledge of multiple Deep Learning Framework and technologies (e.g. tensorflow, pytorch,

Sklearn etc.)

● Knowledge of NLP models such as BERT, GPT family, Transformers, etc.

● Experience developing production ready ML/AI solutions

● Excellent communication and teamwork skills

● Great attention to detail

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