AI Architect AI/ML Engineer

7 days ago

Karachi, Sindh, Pakistan HR Ways - Hiring Tech Talent Full time 2,000,000 - 2,500,000 per year

Key Responsibilities

  • 1. Cross Disciplinary Solution Design
  • Engage with stakeholders to understand product requirements and architect endtoend solutions incorporating data ingestion, model training, deployment and monitoring.
  • Design systems that combine traditional software components with AI/ML models and modern data engineering practices.
  • 2. HandsOn Development
  • Write and maintain production-quality code across backend services, data pipelines and model inference layers, primarily using Python and at least one other language (e.g., .Net, Java).
  • Build RESTful or gRPC APIs to expose AI functionality and integrate with the frontend and other microservices.
  • 3. Data Engineering & Pipeline Construction
  • Develop and manage data pipelines for ingestion, transformation and storage (using tools such as Apache Spark, Kafka, Airflow, SQL/NoSQL
    databases).
  • Work with vector databases and embedding stores for retrieval-augmented systems.
  • Ensure data quality, schema management and robust ETL processes that support model training and inference.
  • 4. Advanced AI/ML & LLM Expertise
  • Train, finetune and deploy machinelearning and deeplearning models, including large language models (LLMs) and transformer architectures (e.g., GPT, Llama, Mistral).
  • Implement embedding techniques (e.g., sentence and document embeddings), retrievalaugmented generation (RAG) pipelines and hybrid search (vector + keyword).
  • Build customised pipelines using frameworks like LangChain, LLamaIndex or similar to integrate models with diverse data sources.
  • 5. System Optimisation & Scalability
  • Optimise model performance (latency, throughput and accuracy) for production workloads, using techniques such as model quantisation, batching and caching.
  • Scale services using containerisation (Docker) and orchestration (Kubernetes) on cloud platforms (AWS, Azure, GCP).
  • 6. Collaboration & Mentorship
  • Collaborate with software engineers, data scientists and DevOps teams to deliver cohesive solutions.
  • Mentor junior engineers and share best practices in software development, data engineering and AI/ML.
  • 7. Monitoring & Maintenance
  • Implement observability for data pipelines and AI services (logging, metrics, model drift detection).
  • Continuously monitor and iterate models and pipelines based on feedback and new data.
  • Requirements & Qualifications
  • Bachelors or Masters degree in Computer Science, Data Engineering, Artificial Intelligence or related field.
  • Experience: Minimum 6 to 8 years in software development and data engineering, with at least 3 years of handson AI/ML experience.
  • Proficiency in Python and deep familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikitlearn) and LLM libraries (e.g., Hugging Face Transformers, LangChain).
  • Handson experience building and deploying large language models, embeddings, RAG pipelines and vectordatabasepowered applications.
  • Strong knowle dge of data engineering tools (Spark, Kafka, Airflow), relational and NoSQL databases, and proficiency inSQL.
  • Experience designing and operating microservices, APIs and containerised applications on cloud platforms.
  • Solid understanding of MLOps best practices (CI/CD for ML, model versioning, automated testing, monitoring).
  • Strong problem solving and communication skills; ability to translate business requirements into technical designs.

Experience :

5 + years

Work Timings:

(Monday to Friday: 11:00
AM - 7:30 PM)

Work Mode:

Onsite Karachi

Work Days :

Monday- Friday

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