Senior software engineer AI/Ml/Python

17 hours ago

Lahore, Punjab, Pakistan Devsinc Full time

Direct message the job poster from Devsinc

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Develop and maintain scalable, secure AI and machine learning applications utilizing Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and cloud services.

Design and implement machine learning models and algorithms to support various AI-driven client applications, focusing on user interface interactions and AI-driven features.

Integrate third-party AI/ML APIs and services into existing web applications.

Promote a data-driven and machine learning approach with a commitment to delivering valuable AI enhancements consistently.

Deep understanding of open-source LLMs. Focus on NLP use cases including writing assistance, summarization, and concept extraction.

Lead and participate in NLP and computer vision model development, providing constructive feedback to foster continuous improvement among team members.

Qualifications
  • Bachelor's degree in Computer Science or a related field.
  • Proven experience as a Machine Learning Engineer with at least 4 years of experience.
  • Active coder with proficiency in Python 3.x, strong OOP skills, and familiarity with modern Python features.
  • Proven experience in NLP and Computer Vision (CV).
Required Skills
  • In-depth knowledge of Python libraries such as numpy, pandas, scikit-learn, TensorFlow, PyTorch, Keras, Transformers, etc.
  • Experience with cloud environments (AWS, Azure, GCP, Databricks) and Linux, including Lambda/Serverless, SQS, SNS, S3, EC2.
  • Experience deploying Transformer-based models into production.
  • Proficiency in Django or Flask is a plus.
  • Strong expertise in source control, code review, and repository management using Git.
  • Familiarity with software engineering principles and design patterns like Dependency Injection, SOLID, Service Containers.
  • Experience with Docker and containerization technologies.
  • Knowledge of building distributed AI systems, microservices architecture, message brokers.
  • Experience with testing methodologies: unit, integration, performance, load testing.
  • Familiarity with data visualization, monitoring, alerting tools.
  • Excellent knowledge of Relational Databases, SQL, ORM technologies such as SQLAlchemy.
  • Knowledge of LLMs, including fine-tuning and deployment integration with web apps.
Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Engineering and Information Technology

Industries

IT Services and IT Consulting

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