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ML OPS Engineer

Perusahaan tidak menampilkan gaji
Kontrak · Kerja di lokasi
Minimal Sarjana (S1)
Pengalaman kurang dari 1 tahun

Persyaratan

Kerja di lokasi
Pengalaman kurang dari 1 tahun
Minimal Sarjana (S1)

Skills

Machine Learning

Data Mining

Redis

Pattern Recognition

Neural Network

Data Engineering

Artificial Intelligence

Deep Learning

Computer Vision

Natural Language Processing (NLP)

Loker ini dikelola oleh

RH
rafiqul Huda

Deskripsi pekerjaan ML OPS Engineer Pt Dua Empat Tujuh

Responsibilities

  • Develop and deploy AI/ML and Generative AI solutions.
  • Build and maintain data pipelines and MLOps workflows.
  • Support CI/CD automation and model deployment processes.
  • Assist in managing AI infrastructure and cloud environments.
  • Monitor model performance, security, and system reliability.

Requirements

  • Bachelor's Degree in Computer Science, Informatics, Data Science, or related field.
  • Fresh graduates are welcome to apply; up to 2 years of relevant experience is a plus.
  • Basic understanding of Machine Learning and Deep Learning concepts.
  • Familiarity with Generative AI, LLM, and RAG concepts. Knowledge of Python, SQL, and API Development.
  • Exposure to Data Engineering tools such as ETL/ELT, Spark, Kafka, or Airflow is a plus.
  • Familiarity with MLOps, CI/CD, Docker, and Kubernetes.
  • Understanding of Model Deployment and Monitoring concepts.
  • Knowledge of FastAPI, REST API, Microservices, and Vector Databases is a plus.
  • Strong analytical thinking, problem-solving, and willingness to learn new technologies.
Tentang Perusahaan
Pt Dua Empat Tujuh
Information Technology and Services
201 - 500 karyawan

SOLUSI247 is an ICT company established in 2000 focusing on large scale data processing applying RDBMS and massive parallel flat file processing. As the challenge of the incredible data growth considerably increases, we adopt the cutting edge technology of Big Data platform, called “Hadoop”.

Alamat kantor

Segitiga Emas Business Park Jalan Professor Doktor Satrio No.kav. 6 Unit 4 & 5, Jl. Karet Pedurenan, RT.4/RW.4, Kuningan, Karet Kuningan, Kecamatan Setiabudi, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta 12940

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