AI Engineer - Data and AI Tiger Analytics

2.0 - 6.0 years

0 Lacs

chennai, tamil nadu

On-site

As an AI Engineer at Tiger Analytics in the Data and AI team, you will have the opportunity to work on internal strategic initiatives as well as tackle complex AI/ML challenges for clients. Your role will involve collaborating closely with senior leadership, including one of the founders, to develop an innovative enterprise platform. This platform will serve as a digital twin of existing systems, functioning as an intelligent bot/platform that offers real-time insights and guidance on tasks. If you have a passion for Generative AI, LLMs, and cutting-edge technologies, and enjoy creating high-impact solutions, we invite you to join our team. Your responsibilities will include: - Working with leadership to grasp the vision, scope, and requirements of the enterprise platform. - Designing and constructing a smart, AI-driven platform that optimizes projects with real-time intelligence. - Utilizing advanced technologies like LLMs (Large Language Models) and Generative AI to develop transformative tools. - Integrating the platform seamlessly with existing organizational systems to ensure smooth operations. - Contributing to the development of scalable, reliable, and high-performance software solutions. - Engaging in peer reviews and promoting code quality within the team. The ideal candidate for this role should possess: - 2-6 years of experience in MLE/MLOps/AI Engineering. - Previous exposure to LLMs, Generative AI, or similar AI technologies. - Proficiency in backend development using Python (Django/Flask) or equivalent technologies. - A solid understanding of APIs and microservices architecture. - The ability to collaborate effectively with cross-functional teams in a dynamic environment. - A keen interest in learning and leveraging new technologies to address intricate challenges. At Tiger Analytics, we value diversity and inclusivity. We encourage individuals with varying skill sets and qualities to apply, even if they do not meet all the criteria for the role. We are committed to being an equal opportunity employer, fostering a culture where listening, trust, respect, and personal growth are prioritized. Please note that the job title and compensation will be determined based on your expertise and experience level. Additionally, our competitive compensation packages are designed to be among the best in the industry. In addition to your salary, we offer a range of benefits including health insurance for yourself and your family, access to a virtual wellness platform, and opportunities to engage with various knowledge communities.,

Posted 1 week ago

Apply

Data Science Manager (Architect exp. is mandatory) Spectrum Talent Management

9.0 - 12.0 years

40 - 45 Lacs

Noida, Bengaluru, Delhi / NCR

Work from Office

Mandatory skill set: Python, any cloud, MLE, Deep learning, NLP, MLOPS, {Gen AI (LLM,Langchain,RAG ,Open AI}

Posted 1 month ago

Apply

Senior / Lead AI (Gen AI, MLE) Tiger Analytics

5 - 9 years

15 - 30 Lacs

Hyderabad, Chennai, Bengaluru

Hybrid

Role & responsibilities As an AI lead specializing in Generative AI, and Machine Learning Engineering (MLE), you will be at the forefront of AI innovation. Your role will involve designing, deploying, and operationalizing sophisticated modelsincluding large language models (LLMs)—to solve complex business problems. You will work closely with cross-functional teams to create scalable, production-ready AI solutions that drive intelligent automation and creativity across industries. Your Key Responsibilities: Generative AI, NLP & MLE: Design, develop, deploy, and scale advanced applications using Generative AI models (e.g., GPT, LLaMA, Mistral), NLP techniques, and MLE/MLOps best practices to solve business challenges and unlock new opportunities. Model Customization & Fine-Tuning: Apply techniques such as LoRA, PEFT, and fine-tuning of LLMs to build domain-specific models aligned with business use cases, with a focus on making them deployable in real-world environments. ML Engineering & Deployment: Implement end-to-end ML pipelines—including data preprocessing, model training, versioning, testing, and deployment—using tools like MLflow, Docker, Kubernetes, and CI/CD practices. Innovative Problem Solving: Leverage cutting-edge AI and ML methodologies to solve practical business problems and deliver measurable results. Scalable AI Solutions: Ensure robust deployment, monitoring, and retraining of models in production environments, working closely with data engineering and platform teams. Data-Driven Insights: Conduct deep analysis of structured and unstructured data to uncover trends, guide decisions, and optimize AI models. Cross-Functional Collaboration: Partner with Consulting, Engineering, and Platform teams to integrate AI/ML solutions into broader architectures and business strategies. Client Engagement: Work directly with clients to understand requirements, present tailored AI solutions, and provide advisory on the adoption and operationalization of Generative AI and ML.

Posted 2 months ago

Apply

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.