This role is a highly specialized business-facing AI team. We deliver professional AI products and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. We look for individuals with strong, unique specializations to improve the overall strength of the team. This role is the right fit for you if you love working with customers, teammates, and fuelling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly.

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 atleast 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
Preferred (Tools): Hands-on experience with the Databricks and Apache Spark
Preferred (Pharma/Life Sciences Domain): Good understanding of Pharma Quality Standards and Practices or prior experience in pharmaceutical or life sciences contexts is a meaningful plus.

Role & Responsibilities

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 atleast 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
Preferred (Tools): Hands-on experience with the Databricks and Apache Spark
Preferred (Pharma/Life Sciences Domain): Good understanding of Pharma Quality Standards and Practices or prior experience in pharmaceutical or life sciences contexts is a meaningful plus.

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About TalentXO

Founded :

2018

Type :

Product

Size :

20-100

Stage :

Profitable

About

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Company social profiles

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