TL;DR
Software Engineer II (AI/ML): Designing, developing, and deploying machine learning models and Generative AI solutions for a technology platform accelerating life and annuities growth with an accent on end-to-end ML pipelines, API development, and data optimization. Focus on integrating innovative AI approaches and solving complex problems using data and intelligent algorithms.
Location: Onsite in Hyderabad, India
Company
hirify.global is a leading technology platform dedicated to accelerating life and annuities growth through innovative enterprise solutions and data insights for insurance products.
What you will do
- Design, develop, and deploy machine learning models and Generative AI solutions.
- Work on end-to-end ML pipelines, from data ingestion and preprocessing to model deployment and monitoring.
- Collaborate with cross-functional teams to understand requirements and deliver AI-driven features.
- Build robust, scalable, and well-documented Python-based APIs for ML services.
- Optimize database interactions and ensure efficient data storage and retrieval for AI applications.
- Stay updated with the latest trends in AI/ML and integrate innovative approaches into projects.
Requirements
- Minimum 3 years of experience into ML/AI engineering.
- Strong hands-on experience with Python.
- Practical knowledge of supervised, unsupervised, and deep learning techniques.
- Experience working with LLMs or similar Generative AI technologies.
- Experience with RESTful APIs and integration of ML models into production services.
- Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, etc.).
Nice to have
- Familiarity with AWS, Azure, or Google Cloud Platform (GCP).
- Frontend or full-stack exposure for ML product interfaces (TypeScript/JavaScript).
- Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, etc.).
- Exposure to containerization (Docker) and orchestration (Kubernetes).
Culture & Benefits
- Collaborate with smart, creative professionals dedicated to delivering cutting-edge technologies.
- Work on deeper data insights and enhanced services to transform how insurance is done.
- Commitment to three core values: be bold, team up, deliver value.
- Opportunity to work for an Equal Opportunity employer committed to a diverse workforce.
- Contribute to a platform accelerating life and annuities growth.
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