AI Jobs Map

TESCRA · Indonesia

Senior Machine Learning Engineer

Remoteseniorfull timePosted 2 days ago
Apply on LinkedInOpens the original posting. AI Jobs Map never asks for your details.

Stack mentioned

machine-learningartificial-intelligencegenerative-ainlpllmdeep-learningprompt-engineeringragvector-databasesdockerkubernetesmlopsawsazuregcpci/cddevopsfastapi.netmongodb

ML Technical Lead

Location: Remote | Employment: Full-time

Experience: 8+ years overall, including 4+ years in a Technical Lead role

About the Role:

ACHNET India is looking for an experienced ML Technical Lead to lead the development and deployment of scalable AI/ML and GenAI solutions. The role combines hands-on technical work with team leadership and mentorship.

Key Responsibilities:

- Lead the end-to-end ML/GenAI lifecycle - data, development, validation, deployment, and monitoring.

- Design and develop scalable ML, NLP, LLM, and Deep Learning applications.

- Build LLM solutions using prompt engineering, RAG, and vector databases.

- Deploy and scale applications using Docker, Kubernetes, and cloud platforms.

- Lead, mentor, and guide engineers through technical planning, code reviews, and best practices.

- Work closely with cross-functional teams to deliver AI/ML solutions.

- Research and evaluate emerging AI/ML and GenAI technologies.

Must-Have Skills:

- 8+ years of relevant experience with 4+ years in technical leadership.

- Strong Machine Learning, NLP, LLM, and Deep Learning expertise.

- Strong understanding of DSA and problem-solving.

- Experience with end-to-end ML/MLOps pipelines.

- Hands-on experience with LLM applications, RAG, prompt engineering, and vector databases.

- Experience with Docker, Kubernetes, and AWS/Azure/GCP.

- Experience with CI/CD and DevOps for ML applications.

- Proven experience leading and mentoring technical teams.

Good to Have:

- FastAPI / .NET

- MongoDB / Elasticsearch

- RabbitMQ

- LoRA / QLoRA / PEFT

- Agentic AI applications

Education:

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Equivalent practical experience is also considered.

If you enjoy building production-grade AI/ML solutions while leading a technical team, we’d like to hear from you.

More jobs at TESCRA