Machine Learning Scientist

Job description

Job Title: Data Scientist/Lead Data Scientist

Locations: Chennai | Hyderabad | Bangalore

NP : Immediate Joiner - 15 Days

Skills : Python, Data Science, ML Model building, GCP, Azure, AWS

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 6000+ 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 Data Scientist/Senior/Lead Data Scientist, you will be at the forefront of solving high-impact business problems using advanced machine learning, data engineering, and analytics solutions.

You will lead and contribute to projects involving the development, deployment, and monitoring of ML/AI models in GCP environment across industries.

The role demands a balanced mix of technical expertise, stakeholder management, and leadership.

Key Responsibilities

Lead and contribute to developing sophisticated machine learning models, predictive analytics, and

statistical analyses to solve complex business problems.

Demonstrate proficiency in programming languages such as Python, with the ability to write clean,

efficient, and maintainable code.

Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets,

and derive actionable insights that lead to impactful outcomes.

Take ownership of end-to-end model development—from problem definition and data exploration

to model training, validation, deployment, and monitoring—delivering scalable solutions in real-

world settings.

Work closely with clients to understand their business objectives, identify opportunities for

analytics-driven solutions, and communicate findings clearly and promptly.

Collaborate with cross-functional teams, including data engineers, software developers, and

business stakeholders, to integrate machine learning solutions into business processes, with an

emphasis on production-grade deployment.

Implement and scale AI/ML models on Google Cloud Platform using tools like Vertex AI

Workbench, Vertex AI Pipelines (Kubeflow), and BigQuery to accelerate development and

streamline production deployment.

Deploy, serve, and manage high-performance models using Vertex AI Endpoints, Cloud Run, and

Cloud Composer, ensuring resilience and observability via Vertex Model Monitoring, Cloud

Monitoring, and Logging.

What do we expect?

● 4–10 year’s experience in data science and ML model development

● A passion for writing high-quality, modular, and scalable code (Python), with hands-on involvement across end-to-end project execution.

● Solid understanding of regression, classification, and statistical methods

● Proven experience deploying machine learning models in production using Google Cloud Vertex AI (Training Jobs, Custom Training, Model Registry, Scoring Jobs, Experiment Tracking using

TensorBoard)

● Experience in orchestrating ML pipelines using Vertex AI Pipelines (Kubeflow) and/or Cloud

Composer (Apache Airflow)

● Hands-on exposure to GCP services like Vertex AI SDK, Cloud Storage, Cloud Run, and CI/CD

pipelines (GitHub Actions, Cloud Build)

● Experience with monitoring and maintaining ML models in production, using Vertex AI Model

Monitoring and related GCP tools

Good to Have

● Experience with Generative AI tools like Vertex RAG Engine, Agent Builder, Dialogflow CX, and

Google Agent Development Kit (ADK)

● Familiarity with API management (Apigee), VPC networking, load balancers, and GCP SDKs such

as Discovery Engine SDK, Reasoning Engine SDK, and GKE

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.

Note: The designation will be commensurate with expertise and experience.

Compensation packages are among the best in the industry.

Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.

Required Skill Profession

Mathematical Science Occupations