Tiger Analytics
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Chennai · On-site · 5-8 Yrs · Oct 5
Business consulting · 1001 to 5000 Employees · Santa Clara, US
Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. Our 5000+ technologists and consultants e are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Come work with us to provide certainty to shape a better tomorrow. We are Great Place to Work-Certified™ (2022-26) and have been consistently ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times, Analytics India Magazine, etc. In India, our offices are located in Chennai, Hyderabad and Bangalore. Website: www.tigeranalytics.com
Hiring: Engineering
What employees say
+ There is Good pay and work can be challenging, providing a lot of learning opportunity. Mentorship and training programs are helpful.
− There is less work life balance
More reviews on the company profile.
Interview experience · Lead Engineer
The interview process consists of four rounds: two technical rounds focused on assessing technical knowledge and problem-solving skills, one behavioral round to evaluate communication and teamwork, and one HR round cover
Difficult difficulty · India · 428 reports
More interview insightsJob description
Overview
AIML Engineer-ML/DS+Agentic AI
Responsibilities
- We are looking for an experienced AIML Engineer with strong expertise across classical Machine Learning, Data Science, Generative AI, and Agentic AI. The ideal candidate will have a strong software engineering background and hands-on experience building and deploying production-grade AI/ML solutions.
- You will work on solving complex business and technical problems by designing scalable ML solutions, developing GenAI/agentic applications, and partnering with engineering and business stakeholders to take AI solutions from concept to production.
- Design, develop, and deploy production-grade AI/ML solutions across classical ML, deep learning, GenAI, and Agentic AI.
- Apply machine learning and statistical modeling techniques to solve complex business problems.
- Build LLM-powered applications, including RAG, prompt engineering, AI agents, and multi-agent workflows.
- Design and implement agentic AI solutions and multi-LLM orchestration for enterprise use cases.
- Develop scalable and maintainable Python-based AI/ML applications with strong software engineering practices.
- Work with large datasets using SQL, Spark, and cloud-based data platforms.
- Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
- Drive AI solutions through experimentation, development, validation, deployment, and continuous improvement.
- Communicate technical solutions, insights, and outcomes effectively to senior stakeholders and non-technical audiences.
- Mentor engineers and contribute to technical architecture and best practices at the Staff level.
Qualifications
- 5–6+ years of professional experience in AI/ML Engineering, Data Science, or a related field, with strong hands-on development experience.
- Strong foundation in classical ML, Deep Learning, and statistical modeling.
- Strong programming skills in Python and solid software engineering fundamentals.
- Hands-on experience with PyTorch and/or TensorFlow.
- Strong experience with SQL and familiarity with distributed computing frameworks such as Apache Spark.
- Hands-on experience building and deploying production AI/ML systems.
- Experience with Generative AI, LLMs, prompt engineering, RAG, and AI application development.
- Experience building AI agents / Agentic AI workflows and working with multiple LLMs.
- Experience with cloud platforms, preferably Azure, and modern data/Lakehouse platforms such as Databricks.
- Strong problem-solving, stakeholder management, and communication skills.
- Experience with MLOps, including MLflow, model versioning, CI/CD, monitoring, retraining, and model drift detection.
- Experience with vector databases, embeddings, semantic search, and retrieval architectures.
- Experience with multi-agent frameworks and LLM orchestration.
- Knowledge of semiconductor manufacturing, NAND Flash, storage technologies, or hardware/electronics.
- Cloud certifications across Azure, AWS, or GCP.
- Python,Machine Learning,Data Science,generative ai,Agentic Ai
- 4 to 6 years
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Job application FAQ
Last updated 26 October 2026
- How do I apply for AIML Engineer-ML/DS+Agentic AI at Tiger Analytics?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Tiger Analytics may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AIML Engineer-ML/DS+Agentic AI role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AIML Engineer-ML/DS+Agentic AI remote or on-site in Chennai, Tamil Nadu?
- This listing is marked on_site with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this AIML Engineer-ML/DS+Agentic AI role at Tiger Analytics?
- This is a mid-level AIML Engineer-ML/DS+Agentic AI role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.