Machine Learning Engineering Manager
4 weeks ago
Tiger Analytics is a global leader in AI and analytics, serving Fortune 1000 companies by solving their most challenging issues. We provide full-stack AI and analytics services & solutions empowering businesses to achieve real outcomes and value at scale.
Our mission is to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively.
Our Purpose
To provide certainty and shape a better tomorrow.
About Our Team
We have a team of 4000+ technologists and consultants based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across various sectors.
Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.
Awards and Recognition
We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG, and others.
We have been ranked among the Best and Fastest Growing analytics firms lists by Inc., Financial Times, Economic Times, and Analytics India Magazine.
What We Expect
We seek a talented Senior/Lead ML Engineer with 6+ years of experience in relevant data science and software development fields, including 3+ years of relevant data science experience and at least 3 years of software development experience.
The ideal candidate should have experience in devising creative analytical approaches to solve business problems, developing and enhancing algorithms and models, maintaining all models along with development and updating of code and process documentation, designing a solution approach, leading a team to deploy and maintain it in production, proficiency in structured programming languages, cloud concepts, strong SQL skills, good knowledge of data science approaches, machine learning algorithms, and statistical methods, ETL and Data Engineering pipelines using Spark/PySpark, workflow orchestration tools like Airflow, excellent written and verbal communication skills, and B.Tech from Tier-1 college/M.S or M.Tech preferred.
Benefits and Compensation
This role offers an estimated salary of $140,000 - $170,000 per year, commensurate with expertise and experience, and provides competitive benefits including health insurance, virtual wellness platform, and knowledge communities.
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