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Senior Machine Learning Engineer

2 months ago

Bengaluru, India Quantiphi Full time
Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

Some company highlights:

- Quantiphi has seen 2.5x growth YoY since its inception in 2013.- Winner of the "Machine Learning Partner of the year" award from Google for two consecutive years - 2017 and 2018.- Winner of the "Social Impact Partner of the year" award from Google for 2019.- Headquartered in Boston, with 700+ data science professionals across different offices.

For more details, visit: our Website or our LinkedIn Page

Job Description:

Role : Senior Machine Learning Engineer

Experience In Years : 3-6

Work location : Mumbai/ Bangalore/ Trivandrum (Hybrid)

As a Senior Machine Learning Engineer at Quantiphi, you will be responsible for designing and developing advanced machine learning models and algorithms to solve complex business problems. You will work on optimizing and deploying these models on AWS infrastructure, ensuring scalability and reliability.

Responsibilities:

● 4+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS.

● Hands-on experience working with (Retrieval Augmented Generation) RAG architecture.

● Hands-on experience fine-tuning large language models( LLM) and and Generative AI (GAI), specifically LLama2.

● Strong familiarity with higher-level trends in LLMs and open-source platforms.

● Should have experience with Deep Learning Concepts. Transformers, BERT, Attention models

● Design, develop, and deploy Gen AI models and systems at scale, with a focus on real-world applications

● Implement and manage MLOps principles and best practices for Gen AI models

● Hands-on experience on AWS Machine Learning services. Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs.

● Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.

● Proven experience in leveraging large sets of structured and unstructured data

● Knowledge of a variety of machine learning techniques (Supervised/unsupervised etc.) (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks

● Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.

● Ability to think creatively and work well both as part of a team and as an individual contributor

Good to have Skills :

● Experience of working for customers/workloads in the Edtech domain with use cases.

● Experience with Recommender systems

What’s in it for you?

● The experience of working in a category defining high growth startups in the transformational AI, Decision Science and Big Data Domain.

● The opportunity of getting on boarded to the phenomenal growth journey and helping the customers take the next big leap in digital transformation

● The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients.

● Flexible working options available to foster productivity and work/life balance