Senior Machine Learning Engineer / MLOps

Tiger Analytics is a global AI & analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modeled around expertise and mutual respect with a team first mindset. Working at Tiger, you’ll be at the heart of this AI revolution. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. 

We are headquartered in the Silicon Valley and have our delivery centers across the globe. The below role is for our Chennai or Bangalore office, or you can choose to work remotely.

About the role:

We are looking for a senior ML Engineer who will work on a broad range of cutting-edge data analytics and machine learning problems across a variety of industries. More specifically, you will

Engage with clients to understand their business context

Lead a team of data scientists and engineers to embed AI and analytics into the business decision processes.

Perform a role that involves a combination of hands-on contribution and customer engagement.

Switch between roles of an Individual Contributor, team member and solution architect as demanded by each project

Desired Skills, Competencies & Experience:

8+ years exp of which 3-5 years of relevant data science experience and at least 3 years of software development experience.

Experience in

Devising creative analytical approaches to solve business problems

Developing and enhancing algorithms and models to solve business problem

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.

Proficient in

Structured programming language is a must - such as Python, C/C++, Java is mandatory.

Cloud concepts and significant hands-on experience with at least one cloud provider. Should be knowledgeable about the pros and cons of the various services and comfortable discussing the tradeoffs with stakeholders.

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

B. Tech from Tier-1 college / M.S or M. Tech is preferred

Designation will be commensurate with expertise/experience. Compensation packages among the best in the industry.