Confirmed on the employer's own hiring board on Nov 6, 2026. First seen by Alion on Nov 4, 2026.
Job Title :Senior AIML Engineer-GenAI+DS
Experience: 6-8 yrs.
Location : Chennai, Hyderabad, Bangalore
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?
We are looking for an experienced Senior AIML Engineer with 6+ years of experience in Artificial Intelligence, Machine Learning, Generative AI, and Data Science. The ideal candidate should have strong technical expertise across GenAI and traditional ML solutions, coupled with mandatory experience in customer-facing roles.
The candidate will be responsible for designing, developing, and implementing scalable AI/ML solutions, translating business requirements into technical solutions, and collaborating with customers and stakeholders to deliver measurable business outcomes.
Key Responsibilities
- Design, develop, and implement AI/ML solutions leveraging Generative AI, Machine Learning, and Data Science techniques.
- Build and deploy traditional ML models for predictive analytics, classification, forecasting, and other business use cases.
- Develop GenAI-based solutions leveraging LLMs and modern AI architectures to solve real-world business problems.
- Work closely with customers to understand business challenges, gather requirements, and translate them into AI/ML solutions.
- Lead technical discussions, solution presentations, and customer-facing engagements.
- Collaborate with cross-functional teams to drive AI/ML initiatives from ideation and POC to production deployment.
- Evaluate model performance, optimize algorithms, and ensure scalability and reliability of AI solutions.
- Stay updated with emerging AI/ML and GenAI technologies and identify opportunities to leverage them.
- Mentor team members and contribute to technical best practices and solution architecture.
Required Skills & Experience
- 6-8+ years of experience in AI/ML, Data Science, and related domains.
- Strong hands-on experience in Generative AI and Traditional Machine Learning.
- Good understanding of Data Science concepts, statistical modelling, and analytical techniques.
- Proven experience in customer-facing roles is mandatory.
- Ability to engage with business stakeholders, understand customer requirements, and provide technical solutions.
- Strong problem-solving, analytical, and communication skills.
- Ability to independently drive technical discussions and solution delivery.
Good to Have
- Experience in Retail / CPG (Consumer Packaged Goods) domain.
- Exposure to Customer Analytics and customer-centric AI/ML use cases.
- Experience working on AI/ML solutions for customer segmentation, customer behaviour analysis, personalization, and predictive analytics.
- Experience in leading teams or driving technical initiatives.
Educational Qualification
- Bachelor's / Master's degree in Statistics, Mathematics, Data Science, Computer Science, or a related discipline.
- Candidates with a strong academic background in Statistics or Mathematics are preferred.

