Senior Machine Learning Engineer (Remote)

Job Title: Full Stack Data Scientist / Machine Learning Engineer

Company: Advanced Datalytics

Location: Remote with a possibility of conversion to in-person in Islamabad

About Us:

Advanced Datalytics is collaborating with a promising startup in the sports sector to revolutionize the industry through innovative machine learning applications. We are seeking a highly skilled Full Stack Data Scientist / Machine Learning Engineer to design, develop, and implement machine learning solutions from scratch.

Key Responsibilities:

• Machine Learning Solution Development:
• Design, develop, and implement machine learning models and algorithms from the ground up.
• Apply supervised and unsupervised learning techniques to solve complex problems.

• Data Pipeline Engineering:
• Understand and enhance existing codebases to design and implement data pipelines.
• Curate and preprocess training data for optimal model performance.

• Business Integration:
• Collaborate with product teams to understand business use cases.
• Hypothesize and implement machine learning solutions that enhance user experience and drive business traction.

• Cloud and MLOps Expertise:
• Utilize cloud-based machine learning platforms (AWS, GCP, Azure) for scalable solutions.
• Implement MLOps practices for efficient deployment and monitoring of models.

• Cost-Effective Solutions:
• Design solutions with a focus on cost efficiency without compromising quality.

• Rapid Prototyping and Testing:
• Develop quick prototypes to test hypotheses and iterate based on feedback.

• Documentation:
• Document workflows, methodologies, and findings for knowledge sharing and reproducibility.

• Technical Expertise:
• Work with technologies like NLP, deep learning, reinforcement learning, and transfer learning.
• Utilize frameworks such as PyTorch, TensorFlow, Keras, and scikit-learn.
• Design and manage databases to support data storage and retrieval needs.

Qualifications:

• Education:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.

• Experience:
• Minimum of 5 years of experience in machine learning engineering or data science roles post graduation.
• Proven track record of building and deploying machine learning models in production.

• Technical Skills:
• Strong understanding of supervised and unsupervised machine learning algorithms.
• Proficiency in Python and related libraries (PyTorch, TensorFlow, Keras, scikit-learn).
• Experience with NLP, quantitative analysis, deep learning, reinforcement learning, and transfer learning.
• Solid understanding of cloud-based machine learning platforms (AWS SageMaker, Google AI Platform, etc.).
• Familiarity with MLOps tools and best practices.
• Experience in database design and management (SQL and NoSQL databases).

Soft Skills:

• Excellent problem-solving and analytical skills.
• Strong communication skills to explain complex concepts to non-technical stakeholders.
• Ability to work independently and collaboratively in a fast-paced environment.
• Detail-oriented with strong organizational skills.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge projects in the sports sector.
• Collaborative and innovative work environment.
• Professional development and growth opportunities.

How to Apply:

Interested candidates are invited to send their resume, cover letter, and any relevant portfolio or GitHub links to hr@advanceddatalytic.com. Include Job Designation in the subject Line

Advanced Datalytics is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.