Data Scientist

At Cloud Raptor, we specialise in providing scalable and efficient solutions to businesses across

many industries. Focused on cloud technologies and technical expertise, we help organisations

navigate the ever-changing landscape of the digital era.

With dedicated Centres of Excellence across the globe, we are enabled to deliver

comprehensive, senior resourcing solutions of both onshore and offshore resources, allowing

our clients to achieve maximum ROI while staying on budget.

Our focus is on delivering amazing end-to-end customer experiences. From cost engineering

budgets to meeting time-sensitive deadlines, we strive to exceed expectations and add

excellence-grade value to our clients’ businesses

Role Overview:

Do you want to join a Machine Learning team committed to personalizing the experience for

hundreds of millions of users? The work we do delivers impactful insights to build an increasingly

dynamic and interactive experience! The Machine Learning Engineers within the platform

engineering group will deliver optimized interactions across, experiences and systems by designing,

coding, training, documenting, cost-effectively deploying and evaluating very large-scale machine

learning systems. We are looking for someone who can build delightful products and experiences

for millions, in an agile environment, collaborating with teams-across Engineering and Product.

Further, you will be immersed in ground-breaking ML technologies, tools, and processes, as you help to advance our technical objectives and architectural initiatives

We are looking for an experienced AI/ML Engineer, who can execute projects end to end and take

then to production pipeline. The candidate is expected to lead the AI/ML work across multiple

projects, working along with other Data Scientists, ensuring clear understanding and translation of

requirements for the team and proposing optimized solutions. He / She would also need to work

on Ad hoc time bound POC’s.

Responsibilities and Duties:

Primary :

1 Strong skills in Classic machine Learning ( Popular algorithms, their implementation etc.)

2 Strong foundational skills in Data science

3 Proficient and Work experience in ML ops ( Databricks / ML flow preferred but not mandatory )

4 Strong coding skills on python

Secondary Skills:

1 Deep learning (Must have the knowledge but may not have vast experience in this)

2 Gen AI : Good to have knowledge