13 days ago
Pune, IndiaMid Level
Responsibilities
- Build conversational, non-conversational, multimodal, and agentic AI applications using LLMs and agent frameworks.
- Design AI workflows involving reasoning, planning, tool use, memory, grounding, external integrations, and knowledge graphs.
- Develop scalable AI APIs and microservices and deploy, monitor, and optimize them across cloud platforms.
- Build and optimize transformer-based and multimodal models using fine-tuning, alignment, LoRA/QLoRA, pruning, and evaluation pipelines.
- Develop information retrieval, ranking, predictive modeling, feature engineering, and large-scale ML data pipelines.
- Collaborate cross-functionally with engineering, data science, CX, MLOps, and product teams to deliver enterprise AI solutions.
- Document models, experiments, evaluation frameworks, and deployment processes, mentor junior engineers, and contribute to reusable components and R&D initiatives.
Requirements
- At least 3–4 years of hands-on software development experience, including building and deploying machine learning models in production.
- At least 2 years of experience with deep learning, generative AI, or transformer-based architectures.
- Demonstrated experience building generative AI applications beyond simple RAG, such as agents, multimodal systems, or custom LLM fine-tuning.
- Advanced Python and SQL skills with experience in API development and data engineering.
- Experience with backend frameworks including Flask, FastAPI, or Django.
- Experience with deep learning, predictive modeling, optimization, embeddings, vector search, model evaluation, and generative AI systems.
- Hands-on experience deploying and scaling AI systems on AWS, Azure, or GCP.
- Experience with Apache Spark, Hadoop, MongoDB, data pipelines, and large-scale data processing.
- Strong foundations in linear algebra, probability, and statistics.
- Experience integrating AI systems into enterprise-grade environments and communicating complex concepts to non-technical stakeholders.
Benefits
- Full-time permanent employment.
- Hybrid work structure requiring at least two days per week in the office for collaboration and knowledge exchange.
- Location: DGS India, Pune, Indiqube Orchid; Brand: Merkle.
Tech Stack
Apache HadoopApache SparkAWSAzureDjangoDockerFastAPIFlaskGoogle Cloud PlatformMongoDBPythonPyTorchSQLTensorFlow
Categories
About Dentsu
Dentsu is a global advertising and marketing services group that plans and buys media, develops creative campaigns, and builds data- and technology-led customer experiences for brands. It earns revenue from agency fees and media services across a network that includes Carat, iProspect, and Merkle. Founded in 1901 and headquartered in Tokyo, Dentsu is publicly traded in Japan and serves clients across many sectors worldwide.