2 hours ago
Pune, IndiaStaff+
Responsibilities
- Build multimodal, conversational, non-conversational, and agentic AI applications using LLMs and agent frameworks.
- Design AI workflows incorporating reasoning, planning, tool use, memory, grounding, and external-system integrations.
- Develop knowledge-graph-assisted AI systems with entity extraction, entity linking, and knowledge-graph-augmented retrieval.
- Build and optimize transformer-based and multimodal models, including fine-tuning, alignment, LoRA/QLoRA, pruning, and evaluation pipelines.
- Develop hybrid dense-sparse retrieval, ranking, relevance optimization, predictive models, and end-to-end machine-learning pipelines.
- Transform models into scalable APIs and microservices and deploy, monitor, and optimize them in cloud environments.
- Collaborate with MLOps teams on model versioning, monitoring, CI/CD pipelines, automated evaluation, and model lifecycle automation.
- Work with Apache Spark, Hadoop, MongoDB, and large-scale data pipelines.
- Partner with CX, engineering, data science, and product stakeholders to translate business needs into 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 5-6 years of hands-on software development experience, including building and deploying machine-learning models into 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 robust API-development and data-engineering experience.
- Experience with Flask, FastAPI, or Django; Docker; and deployment on AWS, Azure, or GCP.
- Experience with PyTorch or TensorFlow and with predictive modeling, deep learning, optimization, embeddings, vector search, model evaluation, and knowledge graphs.
- Experience with Apache Spark, Hadoop, MongoDB, data pipelines, and large-scale processing.
- Understanding of linear algebra, probability, statistics, and deep-learning architectures including RNNs, LSTMs, and Transformers.
- Experience integrating AI systems into enterprise-grade environments and communicating complex concepts to nontechnical stakeholders.
- Strong collaboration, problem-solving, experimentation, and mentoring skills.
Benefits
- Permanent, full-time position based at DGS India, Pune, Kharadi EON Free Zone, with a hybrid work structure requiring at least two days per week in the office.
- Opportunities to work on customer-engagement AI systems, reusable components, knowledge exchange, and R&D initiatives.
Tech Stack
Apache HadoopApache SparkAWSAzureDjangoDockerFastAPIFlaskGoogle Cloud PlatformMongoDBPythonPyTorchSQLTensorFlow
Categories
About Dentsu
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next.