Software Engineer-MLE

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?

As a Software Engineer – MLE , you will build and maintain scalable Python-based applications while preparing to grow into the Machine Learning Engineering (MLE) space. This role is a great opportunity for software engineers who want to strengthen their engineering expertise and develop skills in AI and ML through structured training and hands-on experience.

You will work closely with data, AI, and platform engineering teams to build systems that are efficient, secure, and ready for AI integration.

Your Key Responsibilities :

• Build and maintain scalable applications using Python frameworks such as Django or Flask.
• Design and develop RESTful APIs and microservices that support modular and reusable architectures.
• Deploy and manage applications on cloud platforms (AWS, GCP, or Azure) using CI / CD pipelines, Docker, and Kubernetes.
• Write clean, efficient, and testable code; contribute to reviews and continuous improvement.
• Work in agile teams to deliver high-quality features quickly and reliably.
• Collaborate with data and AI teams to prepare applications for ML integration.
• Participate in guided learning programs to develop into the Machine Learning Engineering track.

What we are looking for :

You are important to us, let’s stay connected!

Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable / unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.