AI/ML Developer

Job Description
Location: Salem (Onsite)Department: EngineeringReports To: Director of AI / Chief Technology OfficerType: Full-time

About the Role
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, pre-processing, information extraction, and summarization.
• Fine-tune transformer-based models (e.g., BERT, Bio BERT, Clinical BERT, 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.

Requirements:
Minimum Qualifications:

• Bachelor's or Master’s 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).

Preferred Qualifications:

• Bachelors/Masters Degree or equivalent research/industry experience.
• Experience with clinical NLP tools (e.g., cTAKES, MedSpaCy, Meta Map).
• 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.

Tools & Technologies You May Use:
Languages/Libraries: Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face, SpacyCloud & MLOps: AWS/GCP, Docker, Kubernetes, MLflowHealthcare-Specific: FHIR, HL7, DICOM, Bio BERT, Clinical BERTData Handling: Pandas, SQL, Spark, DVC, Airflow

Benefits:

• Competitive salary with performance-based bonuses
• Health insurance
• Annual learning & development budget
• Opportunities to work on real-world healthcare problems that impact live

Job Types: Full-time, Permanent

Benefits:

• Health insurance
• Life insurance
• Provident Fund

Location Type:

• In-person

Schedule:

• Day shift
• Monday to Friday

Work Location: In person

Speak with the employer
+91 7845174222