ML Engineer (Fullstack)
Hyderabad / Chennai / Bangalore (Hybrid)
Experience : 2.5 to 6 yrs
Who we are
Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack 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. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.
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.
Curious about the role What your typical day would look like
- Lead cross-functional technical teams across distributed systems, program management, app engineering and product teams while working on all aspects of design, development and delivery of machine learning enabled end-to-end pipelines and solutions.
- Design and architect microservices to support the full Machine learning Lifecycle right from Development to Deployment
- Build scalable micro services architectures than can handle high volume data requests and high concurrency
- Architect solutions for High Availability, Low Latency and High Throughput.
- Improve system reliability-Troubleshoot and investigate any identified issues
- Build reusable patterns, libraries, and perfect test cases to introduce highly reliable and scalable application platforms
- Writing high-performance, reliable, and maintainable code.
- Interface with various interactive services and clients including web and mobile applications.
What do we expect
Core
- Experience in leading a team as well as handling customer stakeholders
- Hands on experience in building scalable solutions using microservices & deployment of ML Algorithms in production
- Excellent programming skills in Python, a good understanding in Go is a plus.
- Experience in Test driven Development
- Expert knowledge of building and maintaining in Production
- Experience in cloud - AWS/Azure/Google is mandatory
Frontend
- Exposure to Front end frameworks like React/Angular having led teams and built applications
- Experience is creating reusable components and libraries
- Experience is optimizing the performance of the web applications
- Exposure to mobile application development is a plus
Database
- Proficient with SQL, RDBMS such as Postgres, MySQL, SQL Server, Oracle and/or experience with NoSQL DBMSs such as Mongo DB
- Familiarity with some ORM (Object Relational Mapper) libraries like SQLAlchemy
- Experience in optimizing the performance of the queries.
Backend
- Experience in server-side/back-end full cycle product development in a production environment in Python
- Hands on experience in python server frameworks like Django/Flask/Fast API
- Strong testing and debugging skills.
- Strong trouble-shooting skills that span systems (Linux), network, and application
- Understanding of the threading limitations of Python, and multi-process architecture.
CI/CD
- Good knowledge of software engineering practices like version control (GIT) and Dev ops
- Understanding of ML/AI Pipeline & Development life cycle & tools, ML Ops Knowledge
Project Management
- Leveraging Agile and Lean software development methodologies to drive reliability upstream into the product development life cycle.
Interested candidate Kindly share your updated resume to [Confidential Information]
Regards,
Prabu k
Technical Recruiter
9092631152
