Data Engineer

3 days ago


Karachi, Sindh, Pakistan 1 Sol Digital Services (SMC) Pvt Ltd. Full time

20 hours ago Be among the first 25 applicants

Company: 1Sol Digital Services (SMC-Pvt) Ltd

Experience: 3–5 years

Open Positions: 3–5

Salary Range: PKR 100,000 to 350,000 or above (based on experience and skillset)

Note: This is a full-time, on-site role based in Karachi (Shahrah-e-Faisal) . Candidates from outside Karachi are welcome to apply if they are willing to relocate at their own expense . The company does not cover relocation costs .

Job Title: Data Engineer (LLM / Vertex AI Focus)

Company: 1Sol Digital Services (SMC-Pvt) Ltd

Location: On-site (Shahrah-e-Faisal, Karachi)

Timings: 6 PM – 3 AM Pakistan Time

Experience: 3–5 years

Open Positions: 3–5

Salary Range: PKR 100,000 to 350,000 or above (based on experience and skillset)

Note: This is a full-time, on-site role based in Karachi (Shahrah-e-Faisal) . Candidates from outside Karachi are welcome to apply if they are willing to relocate at their own expense . The company does not cover relocation costs .

Why Join Us

At 1Sol Digital Services, we deliver cutting-edge digital solutions in collaboration with a leading U.S.-based technology firm specializing in AI, machine learning, and cloud platforms. As part of our team, you'll work on advanced AI/ML projects using the latest in large language models (LLMs) and Google Cloud Platform (GCP), building impactful, scalable solutions that push the boundaries of innovation.

  • Work directly with a top-tier U.S.-based client on high-impact, real-world projects.
  • Gain deep hands-on experience with Vertex AI, BigQuery, Dataflow, and enterprise-grade AI infrastructure.
  • Be part of a skilled, collaborative team in a fast-paced and innovation-driven environment.
  • Access career growth opportunities through advanced AI/ML project exposure.
Job Description

We are seeking a highly skilled Data Engineer with 3–5 years of experience in building data pipelines, managing cloud infrastructure, and working with AI/ML workflows. This role requires hands-on experience with LLM tuning and GCP's Vertex AI platform for deploying production-grade AI solutions.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines for AI/ML workflows.
  • Fine-tune and train LLM models to meet business-specific objectives.
  • Build and manage data processing systems for both batch and real-time streaming.
  • Deploy and monitor models using Vertex AI , including Model Monitoring and Explainable AI.
  • Develop and optimize ETL/ELT processes.
  • Ensure data quality, governance, and integrity across large datasets.
  • Collaborate with cross-functional teams (ML engineers, software developers, data scientists).
  • Enhance model and pipeline performance using GCP-native tools like BigQuery and Cloud Storage.
Required Skills & Qualifications
  • Bachelor's/Master's in Computer Science, Data Engineering, ML, or related field.
  • 3+ years in data engineering roles focused on scalable pipeline and cloud deployments.
  • Expertise in Python, SQL, and Apache Spark.
  • Strong hands-on experience with GCP (especially Vertex AI, BigQuery, and Dataflow).
  • Experience in fine-tuning and deploying LLMs.
  • Knowledge of cloud data governance, compliance, and security best practices.
  • Familiarity with ML frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
Nice to Have
  • Experience with Docker, Kubernetes (GKE), and Terraform.
  • Familiarity with LangChain, RAG (Retrieval-Augmented Generation), and vector databases.
  • Understanding of LLM architectures and optimization methods.
  • Previous experience building enterprise AI solutions.

Apply Now:

If you're passionate about data engineering and AI, and excited about working with cutting-edge technologies like LLMs and Vertex AI — we want to hear from you

Send your resume to:manahil.shehzad@1solpk.com

Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionInformation Technology
  • IndustriesSoftware Development

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