Role Overview
As businesses accelerate their digital transformation Dr Reddys Laboratories is seeking a Technical Lead or Architect with 6-12 years of experience in application development and expertise in AI/ML technologies. This role is crucial in shaping scalable AI-driven applications that deliver business value across various functions. You will lead the design and deployment of AI solutions ensuring performance reliability and compliance.
Responsibilities:
- Architect AI-Driven Digital Applications: Design and implement scalable applications utilizing AI/ML technologies including LLMs and GenAI ensuring robust architecture and integration with existing systems.
- Cloud Infrastructure Engineering: Architect end-to-end infrastructure for AI model deployment on cloud platforms (Azure AWS GCP) focusing on performance optimization and cost-effectiveness.
- Innovation and Reusability: Drive the development of reusable components and APIs that accelerate the delivery of AI applications fostering a culture of innovation within the team.
- Governance and Compliance: Establish and enforce standards for model fairness compliance (GxP GDPR HIPAA) and risk management ensuring responsible AI practices.
- Knowledge Transfer and Training: Lead workshops and training sessions to uplift team capabilities in AI/ML technologies including LLMs and GenAI applications.
- Cross-Functional Collaboration: Collaborate with product managers data scientists and software engineers to ensure alignment on project goals and successful implementation of AI solutions.
Qualifications :
- Mandatory Qualifications:
- Bachelors or masters degree in computer science Artificial Intelligence Data Engineering or a related technical field.
- 6-12 years of experience in application development with a focus on AI/ML technologies.
- 1-2 years of hands-on experience with GenAI/LLM applications including RAG and autonomous agents.
- Proven track record of designing and delivering enterprise-scale AI systems in regulated environments (e.g. healthcare finance).
- Preferred Qualifications:
- Familiarity with AI frameworks and tools such as OpenAI Hugging Face Transformers LangChain and Semantic Kernel.
- Experience with cloud platforms (Azure preferred) infrastructure-as-code (Terraform/CDK) and monitoring tools (Prometheus Grafana).
- Strong understanding of data privacy regulations (e.g. GDPR HIPAA) and their implications for AI systems.
- Excellent communication skills to convey complex concepts to diverse audiences and facilitate collaboration across teams.
Additional Information :
- Excellent leadership and team management skills with the ability to mentor and develop engineering leads and developers.
- Strong communication and presentation skills with the ability to articulate complex technical concepts to non-technical stakeholders.
- Strategic thinker with a problem-solving mindset and a focus on delivering business value.
- Proven experience in partner management development and capability management.
- Ability to work in a fast-paced environment and manage multiple projects simultaneously.
- Collaborative approach with a strong emphasis on cross-functional teamwork and stakeholder engagement.
Remote Work :
No
Employment Type :
Full-time
Role OverviewAs businesses accelerate their digital transformation Dr Reddys Laboratories is seeking a Technical Lead or Architect with 6-12 years of experience in application development and expertise in AI/ML technologies. This role is crucial in shaping scalable AI-driven applications that delive...
Role Overview
As businesses accelerate their digital transformation Dr Reddys Laboratories is seeking a Technical Lead or Architect with 6-12 years of experience in application development and expertise in AI/ML technologies. This role is crucial in shaping scalable AI-driven applications that deliver business value across various functions. You will lead the design and deployment of AI solutions ensuring performance reliability and compliance.
Responsibilities:
- Architect AI-Driven Digital Applications: Design and implement scalable applications utilizing AI/ML technologies including LLMs and GenAI ensuring robust architecture and integration with existing systems.
- Cloud Infrastructure Engineering: Architect end-to-end infrastructure for AI model deployment on cloud platforms (Azure AWS GCP) focusing on performance optimization and cost-effectiveness.
- Innovation and Reusability: Drive the development of reusable components and APIs that accelerate the delivery of AI applications fostering a culture of innovation within the team.
- Governance and Compliance: Establish and enforce standards for model fairness compliance (GxP GDPR HIPAA) and risk management ensuring responsible AI practices.
- Knowledge Transfer and Training: Lead workshops and training sessions to uplift team capabilities in AI/ML technologies including LLMs and GenAI applications.
- Cross-Functional Collaboration: Collaborate with product managers data scientists and software engineers to ensure alignment on project goals and successful implementation of AI solutions.
Qualifications :
- Mandatory Qualifications:
- Bachelors or masters degree in computer science Artificial Intelligence Data Engineering or a related technical field.
- 6-12 years of experience in application development with a focus on AI/ML technologies.
- 1-2 years of hands-on experience with GenAI/LLM applications including RAG and autonomous agents.
- Proven track record of designing and delivering enterprise-scale AI systems in regulated environments (e.g. healthcare finance).
- Preferred Qualifications:
- Familiarity with AI frameworks and tools such as OpenAI Hugging Face Transformers LangChain and Semantic Kernel.
- Experience with cloud platforms (Azure preferred) infrastructure-as-code (Terraform/CDK) and monitoring tools (Prometheus Grafana).
- Strong understanding of data privacy regulations (e.g. GDPR HIPAA) and their implications for AI systems.
- Excellent communication skills to convey complex concepts to diverse audiences and facilitate collaboration across teams.
Additional Information :
- Excellent leadership and team management skills with the ability to mentor and develop engineering leads and developers.
- Strong communication and presentation skills with the ability to articulate complex technical concepts to non-technical stakeholders.
- Strategic thinker with a problem-solving mindset and a focus on delivering business value.
- Proven experience in partner management development and capability management.
- Ability to work in a fast-paced environment and manage multiple projects simultaneously.
- Collaborative approach with a strong emphasis on cross-functional teamwork and stakeholder engagement.
Remote Work :
No
Employment Type :
Full-time
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