Senior AI Engineer
- Innoplexus
- 6 - 8 years
- Pune
- 4 days ago
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Job Description
About the Role
We are looking for a Senior AI Engineer to join our AI Team. In this role, you will lead a small sub-team and drive the development of production-grade AI solutions, with a heavy focus on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). You will own the full project lifecycle, ensuring that complex clinical data is structured and accessible through cutting-edge AI methodologies.
Key Responsibilities
- Technical Leadership: Direct a small sub-team of engineers and scientists, overseeing project delivery, code reviews, and technical mentorship in an Agile environment.
- LLM & RAG Implementation: Architect and deploy advanced RAG pipelines and LLM-based solutions, including instruction fine-tuning and prompt engineering.
- Advanced Modeling: Implement Deep Learning and NLP models to extract insights and structure clinical data from vast, unstructured datasets.
- System Architecture: Design high-performance data pipelines and manage large-scale NoSQL/Graph databases (e.g., MongoDB, Elastic Search, Neo4J).
- Strategic Collaboration: Partner with medical experts and commercial teams to integrate AI into healthcare digitization and contribute to company IP (patents/whitepapers).
Requirements
- Experience: 6+ years in Data Science or Data Engineering with experience leading technical sub-teams.
- AI Expertise: Deep proficiency in LLMs, RAG architectures, and Deep Learning frameworks (PyTorch or TensorFlow).
- Python Mastery: Superior coding skills with deep knowledge of data structures, algorithms, and software design principles.
- Data Infrastructure: Hands-on experience with NoSQL/Graph DBs, async/parallel processing, and information retrieval.
- Engineering Rigor: Experience with software development best practices, unit testing, and deployment using Docker/Kubernetes.
- Education: Degree (Master/PhD preferred) in Computer Science, Mathematics, Physics, or Engineering.
- Language: Professional proficiency in both English and German is compulsory.
Nice-to-Have
- Experience with Scrapy and distributed web crawling at scale.
- Familiarity with Big Data tools like Hadoop, Spark, or Kafka.
- Previous exposure to the Atlassian suite (JIRA) and Agile methodologies
Job Classification
Industry: Pharmaceutical & Life SciencesFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: InnoplexusLocation(s): Pune
Keyskills: Pytorch NoSQL Retrieval Augmented Generation Python Tensorflow Docker System Architecture Graph Databases Kubernetes
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