Senior AI/ML Developer

Job Description

Job Title: Senior AI/ML Developer Work Mode: On-site Work Environment & Schedule: Full-time | Day Shift: Monday to Friday (No weekends or on-call duties) The position offers a modern, ergonomic workspace equipped with adjustable seating and proper lighting to support comfort and productivity throughout the day. Screen setups are optimized to ensure a healthy and comfortable working experience. Position Overview We are seeking a highly skilled Senior AI/ML Developer to lead the development of advanced machine learning solutions focused on medical data summarization. You will build systems that convert complex, unstructured healthcare data such as electronic health records (EHRs), clinical notes, and imaging reports into accurate, structured summaries that improve decision-making and streamline patient care. Key Responsibilities Design, train, and deploy NLP and ML models for summarizing medical records, physician notes, lab data, and radiology reports. Develop end-to-end ML pipelines for medical data ingestion, preprocessing, information extraction, and summarization. Fine-tune transformer-based models (e.g., BERT, BioBERT, ClinicalBERT, GPT, LLaMA) for domain-specific NLP tasks. Apply techniques such as named entity recognition (NER), relation extraction, summarization, and prompt engineering. Collaborate with clinical informatics experts, data engineers, and product managers to ensure models are clinically relevant and accurate. Evaluate model performance with healthcare-specific metrics (e.g., ROUGE, BLEU, clinical accuracy). Ensure solutions meet HIPAA and other healthcare data privacy and security standards. Mentor junior team members and review code and ML solutions for performance and compliance. Skills Required Bachelors/Masters Degree or equivalent research/industry experience. Experience with clinical NLP tools (e.g., cTAKES, MedSpaCy, MetaMap). Familiarity with MLOps tools and workflows (MLflow, DVC, Airflow). Publications or contributions to open-source projects in medical AI. Prior work on medical summarization, LLM fine-tuning, or clinical decision support systems. Education and Experience Bachelor's or Masters in Computer Science, Data Science, Biomedical Engineering, or a related field. 3+ years of experience in machine learning, with a focus on NLP or medical AI. Proficiency in Python and ML libraries such as PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers. Experience with healthcare data formats and standards (e.g., HL7, FHIR, ICD-10, SNOMED CT). Strong foundation in deep learning, transformers, and sequence models. Experience deploying models to production environments (cloud, containers, APIs). Familiarity with privacy and compliance frameworks (HIPAA, GDPR in medical contexts). Benefits Paid Sick leave, Casual leave, compensatory leave and Fixed Week offs Statutory Benefits (PF),Health Insurance and Employee Reward Program Paid Parental leaves based on the company norms (Maternity & Paternity) To help Employees Children Education support Holidays based on India & US Certification assistance and career growth opportunities Opportunities to work on real-world healthcare problems that impact lives At LezDo , youll be part of a supportive and collaborative team environment that values communication, teamwork, and shared accountability in delivering high-quality results. Why Join Us At LezDo, were committed to supporting our employees professional growth and well-being. Join a team that values precision, collaboration, and compassion. Ready to Apply? If you're passionate about healthcare data accuracy and want to make a meaningful impact, we encourage you to apply today. LezDo is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.