About Trulogik
Trulogik is transforming healthcare through AI-powered innovation. We offer a suite of pre-built products in Claims, Enrollment, and Care Management domains that optimize operations, improve care delivery, and reduce costs with AI-powered solutions. Our team leverages the latest advancements in AI and ML to tackle the toughest challenges in healthcare, focusing on practical applications that deliver meaningful insights and actionable results.
We combine actionable insights with smarter process automation using AI / ML, helping healthcare organizations automate repetitive tasks, proactively identify patients requiring intervention, and extract valuable insights from unstructured data sources like claims data, pre-authorization records, medical records, and patient surveys.
Position Overview
We are seeking an exceptional Senior Data Scientist to join our team in Hyderabad. This role is pivotal in advancing our healthcare AI / ML capabilities, with a focus on fine-tuning large language models, developing medical AI solutions, and driving innovation in clinical NLP and EHR data processing. You will work at the intersection of cutting-edge AI research and real-world healthcare applications, mentoring junior team members while collaborating closely with clinicians, product teams, and cross-functional stakeholders.
Location
Hyderabad, India (Onsite)
Experience Required
5-10 years of professional experience in Data Science, Machine Learning, or AI
Key Responsibilities
AI / ML Model Development & Fine-Tuning
- Design, develop, and fine-tune large language models (LLMs) including OpenAI models and medical-specific models like MedGemma for healthcare applications
- Implement advanced prompt engineering techniques to optimize model performance for clinical use cases
- Build and deploy medical AI / ML models focused on Clinical NLP and EHR data analysis
- Develop solutions for extracting insights from unstructured healthcare data including medical records, claims, pre-authorization documents, and patient surveys
- Optimize model performance, accuracy, and efficiency for production healthcare environments
Healthcare Domain Expertise
Apply deep understanding of Clinical NLP to solve complex healthcare challengesProcess and analyze Electronic Health Records (EHR) data to generate actionable insightsWork with healthcare data standards and ensure regulatory compliance (HIPAA, FHIR, HL7)Collaborate with clinical stakeholders to understand domain-specific requirements and translate them into AI solutionsDevelop AI systems for claims processing automation, utilization management, and care management applicationsTechnical Leadership & MLOps
Design and implement end-to-end ML pipelines from data ingestion to model deploymentEstablish MLOps best practices including model versioning, monitoring, and continuous improvementWork with cloud platforms (Azure, AWS, or GCP) to deploy scalable AI solutionsImplement data engineering workflows to handle large-scale healthcare datasetsEnsure model explainability, fairness, and responsible AI practices in production systemsTeam Leadership & Collaboration
Mentor and guide junior data scientists and ML engineersLead cross-functional collaboration with clinicians, product managers, and engineering teamsCommunicate complex AI concepts and model insights to both technical and non-technical stakeholdersDrive innovation through research, experimentation, and implementation of state-of-the-art techniquesContribute to building a culture of excellence, continuous learning, and ethical AI developmentRequired QualificationsEducation
Master's degree or PhD in Computer Science, Data Science, Machine Learning, Bioinformatics, or related field (preferred)Bachelor's degree with exceptional relevant experience will be consideredCore Data Science Skills
5-10 years of hands-on experience in data science, machine learning, and AI developmentStrong proficiency in Python and ML frameworks (TensorFlow, PyTorch)Expert knowledge of statistical analysis, experimental design, and model evaluationExperience with classical ML algorithms, deep learning architectures, and neural networksStrong foundation in data structures, algorithms, and software engineering principlesSpecialized Healthcare AI Skills
Proven experience fine-tuning large language models (LLMs) such as OpenAI GPT models, MedGemma, or similar medical AI modelsExpertise in Clinical NLP and natural language understanding for healthcare applicationsExperience working with EHR data, medical coding systems (ICD-10, CPT, HCPCS), and healthcare data formatsAdvanced prompt engineering skills for optimizing LLM performance in medical contextsKnowledge of medical AI model architectures and healthcare-specific ML applicationsMLOps & Infrastructure
Experience with MLOps practices including model deployment, monitoring, and lifecycle managementProficiency with cloud platforms (Azure, AWS, or GCP) for ML workloadsData engineering skills including ETL / ELT pipelines, data warehousing, and big data technologiesExperience with containerization (Docker, Kubernetes) and CI / CD for ML systemsFamiliarity with vector databases, model serving frameworks, and API developmentDomain & Regulatory Knowledge
Understanding of healthcare regulatory compliance requirements (HIPAA, GDPR)Knowledge of healthcare data standards (FHIR, HL7, DICOM)Awareness of Responsible AI, Explainable AI (XAI), and bias mitigation techniquesExperience with healthcare workflows in claims processing, care management, or clinical operationsLeadership & Communication
Demonstrated experience mentoring junior team members and leading technical initiativesExcellent communication skills with ability to explain complex AI concepts to diverse audiencesStrong collaboration skills for working with clinicians, product teams, and business stakeholdersTrack record of delivering production-grade AI solutions in healthcare or regulated industriesPreferred Qualifications
Publications or contributions to AI / ML research, particularly in healthcare or medical AIExperience with Hugging Face Transformers, LangChain, or similar LLM frameworksKnowledge of reinforcement learning from human feedback (RLHF) and model alignment techniquesFamiliarity with medical imaging AI, clinical decision support systems, or predictive analytics in healthcareExperience with real-time data processing and streaming analyticsContributions to open-source AI / ML projectsPrior experience in healthcare SaaS or health tech startupsWhat We Offer
Opportunity to work on cutting-edge AI technology that directly impacts healthcare outcomesCollaborative environment with talented engineers, data scientists, and healthcare domain expertsExposure to diverse healthcare AI challenges across claims, enrollment, and care managementProfessional development opportunities and access to latest AI / ML tools and technologiesChance to shape the future of healthcare through responsible and innovative AI solutionsWork with industry-leading healthcare and financial organizationsOur Commitment
At Trulogik, we are makers and dreamers committed to transforming the world one step at a time. We are dedicated to using AI responsibly, ensuring transparency, fairness, and ethical integrity through Explainable AI (XAI) and Responsible AI practices. We attract and retain the best talent in the industry, ensuring the speed and quality of our deliverables exceed expectation