Tiger Analytics
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Bengaluru · On-site · 5-8 Yrs · Sep 19
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
As a Senior/Lead specializing in Generative AI and Machine Learning Engineering (MLE), you will be at the forefront of AI innovation.
Responsibilities
- Generative AI, NLP & MLE: Design, develop, deploy, and scale cutting-edge applications leveraging Generative AI models (e.g., GPT, LLaMA, Mistral), NLP techniques, and MLE/MLOps best practices.
- Model Customization & Fine-Tuning: Fine-tune and customize LLMs using techniques like LoRA and PEFT to create domain-specific, deployable models aligned with real-world business use cases.
- ML Engineering & Deployment: Build and maintain end-to-end ML pipelines—including data preprocessing, model training, versioning, testing, and deployment—using MLflow, Docker, Kubernetes, and CI/CD methodologies.
- Innovative Problem Solving: Apply advanced AI and ML methodologies to solve practical business problems, delivering measurable impact.
- Scalable AI Solutions: Collaborate with platform and data engineering teams to ensure robust model deployment, monitoring, and retraining in production environments.
- Data-Driven Insights: Analyze structured and unstructured data to uncover trends, optimize model performance, and guide strategic decisions.
- Cross-Functional Collaboration: Partner with Consulting, Engineering, and Platform teams to integrate AI/ML solutions into enterprise architectures and business strategies.
- Client Engagement: Interact directly with clients to understand requirements, present customized AI solutions, and advise on the adoption and operationalization of Generative AI and ML technologies.
Qualifications
- Generative AI Expertise: Deep expertise in designing and deploying LLM-based solutions using frameworks like HuggingFace, LangChain, Transformers, etc.
- MLE & Production Readiness: Proven track record of building scalable, reliable, production-grade ML models and pipelines.
- Deployment & Best Practices: Hands-on experience with containerization (Docker), orchestration (Kubernetes), model tracking (MLflow), and deployment on cloud platforms (AWS, GCP, Azure).
- Development Proficiency: Strong coding skills in Python, with experience using web frameworks like Django or Flask.
- API & Cloud Architecture: Deep understanding of APIs, microservices, and cloud-native deployment strategies.
- Innovation & Curiosity: A strong passion for staying up to date with the latest advancements in Generative AI, LLMs, and ML engineering.
- Communication: Ability to translate complex technical concepts into clear, business-focused insights and actionable recommendations.
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Job application FAQ
Last updated 30 September 2026
- How do I apply for MLOps & GenAI - Senior/Lead 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.
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- Is MLOps & GenAI - Senior/Lead remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this MLOps & GenAI - Senior/Lead role at Tiger Analytics?
- This is a lead MLOps & GenAI - Senior/Lead role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.