Machine Learning Engineer

Reposted 19 Days Ago
Hiring Remotely in United States
Remote
Mid level
Big Data • Analytics • Business Intelligence • Big Data Analytics
The Role
The Machine Learning Engineer will develop scalable ML systems, create APIs, and write production-quality code while collaborating with cross-functional teams to deliver business solutions.
Summary Generated by Built In
Description

Tiger Analytics is looking for experienced Machine Learning Engineers with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

  • Providing solutions for the deployment, execution, validation, monitoring, and improvement of MLE solutions
  • Creating Scalable Machine Learning systems .
  • Building reusable production data pipelines for implemented machine learning models
  • Writing production-quality code and libraries that can be packaged as containers, installed and deployed

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

MLE Skillsets needed:

•          Good exposure to Model development and deployment

•          Experience developing API’s

•          Python based application using CICD

•          AWS or Google cloud environment experience

Required Skills:

•          Proficiency in SQL, Python, and MLOps.

•          Experience with AWS services, including SageMaker

•          Familiarity with DevOps concepts and cloud based CI/CD tools

•          Knowledge of Snowflake and Oracle databases.

•          Experience with GitHub for version control.

•          Strong understanding of Agile methodologies.

Preferred Qualifications:

•          Passion for learning and staying updated with new technologies.

•          Persistent and proactive approach to problem-solving.

•          Strong analytical mindset.

•          Knowledge of the insurance industry is a plus.

•          Exposure to GenAI and LLMOps(Large Language Model Operations) a differentiator, but not required.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Top Skills

Agile
AWS
Ci/Cd
Git
GCP
Oracle
Python
Snowflake
SQL
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The Company
Bengaluru, Bengaluru
5,000 Employees
Year Founded: 2011

What We Do

Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare.

We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

In India, our offices are located in Chennai, Hyderabad and Bangalore.

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