Our Client Currently looking for AI/ML Engineer – Generative AI
Objectives of role :
– Develop cutting-edge GenAI solutions, incorporating the latest techniques from Mosaic AI research to solve business problems
– Own production rollouts of consumer and internally facing GenAI applications
– Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap
Required /Proven experience with the following :
– Experience in building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine- tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
– Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
– Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
– Experience in building production-grade machine learning deployments on AWS, Azure, or GCP
– Graduate degree in a quantitative discipline like Computer Science or equivalent practical experience Passion for collaboration, life-long learning, and driving business value through AI
[Preferred] Experience in using the Databricks Intelligence Platform and Apache Spark? to process large-scale distributed datasets
We require fluency in English and willingness to work across time zones.
Ideal Candidate :
– Strong AI/ML Engineer Profile
– Mandatory (Experience) : Must have 3+ years of experience in software engineering with at least 1+ years in GenAI application development and production deployment
– Mandatory (GenAI Application Development) : Must have proven experience building GenAI applications covering RAG pipelines, multi-agent systems, Text2SQL, and fine-tuning
– Mandatory (Production GenAI Deployment) : Must have expertise deploying production-grade GenAI applications including model evaluation, optimisation, and ownership of full production rollouts
– Mandatory (ML & Data Science Tooling) : Must have strong hands-on experience with core ML and data science tools including pandas, scikit-learn, and PyTorch
– Mandatory (Cloud ML Infrastructure) : Must have experience building and deploying production-grade ML workloads on at least one of AWS, Azure, or GCP
– Mandatory (Communication) : Must have strong English communication skills with the ability to work across time zones and collaborate cross-functionally with product, engineering, and business stakeholders
– Mandatory (Note 1) : Role is Hybrid, WFH flexibility as well upto 6 days a month
– Mandatory (Note 2) : CTC is inclusive of 10% variable
– Mandatory (Note 3) : Candidates should be available to join within May 31st or June first week max
Preferred (Education) :
– Must hold a graduate degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline or equivalent practical experience
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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