Senior AI Engineer
New
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Enable Data IncorporatedHealthcare
Hyderabad, Telangana, IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 8+ years of experience in developing and implementing end-to-end solutions using Machine Learning and AI tools; 5+ years of hands-on experience in NLP, deep learning, and transformer-based models; 2+ years of practical experience building end-to-end Generative AI solutions; 2+ years of experience leading, mentoring, or managing high-performing data science teams.
- Required Skills
- PythonMachine LearningAzureDeep LearningNLPMLOpsGenerative AIPySpark
Requirements
- 8+ years of experience in developing and implementing end-to-end solutions using Machine Learning and AI tools.
- 5+ years of hands-on experience in NLP, deep learning, and transformer-based models.
- 2+ years of practical experience building end-to-end Generative AI solutions, including LLM workflows, fine-tuning, and RAG-based systems.
- Strong proficiency in Python and PySpark.
- Proven experience building and deploying production-grade ML or AI systems at scale.
- Strong business acumen with the ability to convert complex business problems into practical AI solutions.
- 2+ years of experience leading, mentoring, or managing high-performing data science teams.
- Excellent written and verbal communication skills.
- Experience working in a matrix organization.
- Healthcare domain experience preferred.
- Experience with Azure or Databricks preferred.
- Knowledge of MLOps, CI/CD for ML, and model governance preferred.
Responsibilities
- Design, build, and deploy end-to-end AI and machine learning solutions, with a focus on GenAI, NLP, and healthcare applications.
- Develop and productionize LLM-based workflows, including prompt engineering, evaluation frameworks, fine-tuning, and RAG systems.
- Translate ambiguous business and healthcare problems into structured data science solutions with clear success metrics.
- Own the full model lifecycle, including data preparation, experimentation, validation, documentation, deployment, and monitoring.
- Partner with product, engineering, business, clinical, and compliance stakeholders to ensure scalable and secure solutions.
- Lead, mentor, and develop a team of data scientists and AI engineers.
- Drive best practices in model development, code quality, reproducibility, and responsible AI.
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