Aventior - Senior Artificial Intelligence Engineer

4 weeks ago

Pune, India Aventior Digital Private Limited Full time

Job Title : Senior AI Engineer (Clinical Research)

Required Experience : 3+ years

Location : Pune

Job Description :

We are seeking a highly skilled and experienced Senior AI Engineer to lead the development and deployment of advanced artificial intelligence and machine learning solutions for clinical research initiatives.

This role will drive innovation in clinical data extraction, patient cohort analysis, protocol optimization, and predictive modeling to support better decision-making and operational efficiencies in clinical trials.

This position requires a strong combination of technical expertise, leadership skills, and business acumen.

Key Responsibilities :

AI/ML Development & Deployment :


- Develop and deploy machine learning models for extracting, classifying, and analyzing structured and unstructured clinical data (e.g., EMRs, CRFs, protocols).

- Apply NLP techniques for entity recognition, relationship extraction, summarization, and semantic search of clinical trial texts.

- Build predictive models for trial success, patient recruitment, dropout risk, and adverse event detection.

- Lead the development of GenAI workflows, including LLM/SLM/VLM-based pipelines and multi-modal AI applications.

- Implement computer vision and OCR/IDP models for clinical document processing and imaging.

RAG (Retrieval-Augmented Generation) & LLM Engineering :


- Design and optimize RAG workflows, including embedding and retrieval pipelines.

- Work with Gemini Flash 2.5 or similar models (e.g., GPT-4, Claude) for LLM-based clinical data tasks.

- Fine-tune prompt engineering, context window optimization, and chunking strategies.

- Integrate and manage vector stores such as FAISS, Chroma, or Vertex AI Matching Engine.

Data Engineering & Pipelines :


- Collaborate with data engineers to build scalable pipelines for ingesting and transforming clinical and biomedical data (e.g., PubMed, CT.gov, EHR, imaging).

- Handle data cleansing, harmonization, annotation, and transformation for ML readiness.

- Develop ingestion processes for structured and unstructured sources: PDF, SCORM, HTML, internal documents.

Evaluation, Monitoring & Regulatory Compliance :


- Evaluate models using domain-specific metrics (e.g., precision@k, response confidence) and build continuous feedback loops.

- Ensure transparency, explainability, and reproducibility in model design.

- Maintain compliance with HIPAA, GDPR, and GxP/ISO 13485 standards.

Leadership & Collaboration :


- Lead and mentor a team of junior data scientists and ML engineers.

- Define and drive AI strategy aligned with clinical and regulatory objectives.

- Collaborate with clinical scientists, statisticians, product managers, and regulatory teams to translate clinical goals into technical AI solutions.

Project & Technical Ownership :


- Own end-to-end execution of AI projects: scoping, design, development, deployment, monitoring.

- Provide technical direction in deep learning (CNNs, Capsule Networks, Variational Autoencoders, Graph Neural Networks).

- Ensure MLOps best practices, including CI/CD, monitoring, logging, and governance in cloud environments.

Technical Skills & Experience :

Must-Have :

- Proficiency in Python (FastAPI/Flask), LangChain, HuggingFace, and vector database integrations.

- Experience with embedding techniques and vector similarity (cosine, dot product, top-k retrieval).

- Hands-on experience with GenAI models (e.g., Gemini Flash 2.5, GPT-4, Claude).

- Knowledge of biomedical ontologies (UMLS, SNOMED CT, MeSH) and EDC systems.

- Familiarity with CDISC, HL7 FHIR, and OMOP CDM standards for clinical data.

- Proven experience in deploying AI models on cloud platforms: AWS SageMaker, GCP Vertex AI, or Azure ML.

Desirable :


- Exposure to MLOps, scientific ML, and data visualization tools.

- Experience with Google Cloud (AlloyDB, Vertex AI APIs, secure deployments).

- Working knowledge of LMS content ingestion (PDFs, SCORM, HTML).

- Familiarity with frameworks like LlamaIndex or Haystack.

Qualifications :


- Bachelors or Masters in Computer Science, Biomedical Engineering, Data Science, or related field.

- PhD preferred.

- 3+ years of AI/ML experience, with 1+ years in clinical research or healthcare.

- Strong leadership, communication, and stakeholder management skills.

- Demonstrated success in translating complex clinical problems into deployable AI solutions.

Company Overview :


Aventior is a leading provider of innovative technology solutions for businesses across a wide range of industries.

At Aventior, we leverage cutting-edge technologies like AI, ML Ops, DevOps, and many more to help our clients solve complex business problems and drive growth.

We also provide a full range of data development and management services, including Cloud Data Architecture, Universal Data Models, Data Transformation & and ETL, Data Lakes, User Management, Analytics and visualization, and automated data capture (for scanned documents and unstructured/semi-structured data sources).

Our team of experienced professionals combines deep industry knowledge with expertise in the latest technologies to deliver customized solutions that meet the unique needs of each of our clients.

Whether you are looking to streamline your operations, enhance your customer experience, or improve your decision-making process, Aventior has the skills and resources to help you achieve your goals.

We bring a well-rounded, cross-industry, and multi-client perspective to our client engagements.

Our strategy is grounded in design, implementation, innovation, migration, and support.

We have a global delivery model, a multi-country presence, and a team well-equipped with professionals and experts in the field.
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