Senior Machine Learning Applications Developer

2 weeks ago

Islamabad, Islamabad, Pakistan beBee Careers Full time

Unlock Your Full Potential as a Senior Machine Learning Engineer

We're seeking a talented Senior Machine Learning Engineer to join our team and contribute to the development of cutting-edge software products. As a key member of our engineering team, you will help us create and enhance our portfolio by leveraging exceptional skills in programming, data science, big data, and software engineering.

Responsibilities:

  • Develop scalable, efficient, and high-performance software using classical Machine Learning and Data Science techniques to augment our data analytics platform, expanding its reporting and analytics capabilities.
  • Benchmark and maintain frameworks and services for our Machine Learning services, systems, and dashboards.
  • Interact with business users, other development, and testing teams to drive project success.
  • Foster coding best practices - Unit testing, design/code reviews, code coverage, documentation, etc.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Respond promptly to bug fixes and enhancement requests and be able to take directions and complete tasks on-time with minimal supervision.
  • Collaborate with and help implement data models created by data scientists.

Requirements:

  • Proven experience with Traditional ML, DS, NLP, and Gen AI.
  • Mastery of machine learning algorithms to drive data-driven decisions.
  • Leverage advanced statistical models to uncover hidden insights and patterns.
  • Apply unsupervised learning techniques to explore and cluster complex datasets.
  • Implement robust machine learning solutions using state-of-the-art frameworks.
  • Tap into the power of big data technologies to process and analyze massive datasets.
  • Transform and visualize data to create compelling, actionable insights.
  • Deploy scalable ML solutions on leading cloud platforms for enhanced performance.
  • Integrate ML operations to streamline the deployment and management of machine learning models.
  • Apply deep learning methodologies to solve intricate and high-dimensional problems.
  • Leverage Python's versatility and libraries to build and deploy efficient ML applications.
  • Experience working with NLP and ML packages and frameworks such as spaCy, NLTK, SciPy, etc.
  • Understanding of text processing and feature extraction, text embedding, text classification, and sequence-to-sequence models.
  • Proficiency with a deep learning framework such as TensorFlow, Keras, or PyTorch.
  • Proficiency with Python language is required.
  • Expertise in visualizing and manipulating big datasets (pulling from AWS, GCP, etc).
  • Experience with data noise removal, data augmentation, dataset truthing, and construction.
  • Familiarity with Linux.
  • Proficiency with languages like JavaScript and SQL is a plus.
  • Excellent interpersonal, communication and organizational skills are required. Excellent analytical and troubleshooting skills are necessary.
  • Strong written communication skills are preferred.

Why This Role Matters:

This role offers a unique opportunity to work on cutting-edge projects, collaborate with industry experts, and deliver client value through your work. You will have the chance to build a career in a dynamic and innovative environment where you can grow professionally and personally.

We are an equal opportunity employer, and we value diversity. We do not discriminate based on any legally protected status.

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