Senior AI/ML Engineer

Senior Machine Learrning Engineer

Rapid Labs is a dynamic leader in the AI revolution, dedicated to crafting groundbreaking solutions that redefine industries such as Retail, Healthcare, Legal, and Finance. With expertise in technologies like Computer Vision, Natural Language Processing, and AI-powered Chatbots, we aim to elevate user experiences and streamline business operations. Join us on our mission to leverage artificial intelligence for impactful change and a better tomorrow!

Job Overview:

We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our team during the night shift. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and systems that will enhance our product offerings. This role requires a deep understanding of machine learning algorithms, data processing techniques, agentic-ai and software development.

Key Responsibilities:

• Lead the design and implementation of machine learning models and algorithms.
• Collaborate with data scientists, engineers, and product managers to integrate models into production systems.
• Optimize and scale machine learning models for performance and reliability.
• Conduct data analysis, preprocessing, and feature engineering to support model development.
• Stay up-to-date with the latest research and advancements in machine learning and AI.
• Mentor junior engineers and contribute to the overall growth of the ML team.
• Work during night hours to support global teams and ensure timely delivery of projects.

Required Skills & Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field.
• Experience: Minimum of 5 years of experience in machine learning, data science, or a related field.
• Technical Skills: Proficiency in programming languages such as Python
• Strong knowledge of machine learning frameworks
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Hands-on experience on agentic frameworks such as LangChain, LangGraph, and MCP servers.
• LLM and Agentic Applications evaluation techniques and stacks
• Solid understanding of data structures, algorithms, and software engineering principles.
• Expertise in model deployment and monitoring.

Soft Skills: Strong problem-solving and analytical skills.

• Excellent communication and teamwork abilities.
• Ability to work independently with minimal supervision.
• Adaptability to night shift working hours.

Salary & Benefits

• Competitive salary and fringe benefits.
• Paid Time off
• Leaves encashment
• EOBI
• Company-sponsored courses for continuous learning and career growth
• Professional Development
• Career Advancement
• Team Building Activities
• Innovative Work Environment
• Work-Life Balance
• Company trips
• Wellness Programs
• Performance based promotion

Location: Blue Area Islamabad

Office Hours: 05:00 PM to 02:00 AM (Monday to Friday) – US Shift

Job Type: Full-time

Application Question(s):

• How many years of full-time professional experience do you have working as an AI/ML Engineer?
• What is your current salary?
• What is your expected salary?
• How many days of notice period are you required to serve with your current employer?
• Do you have hands-on experience deploying AI/ML models into production environments?
• Have you used containerization or orchestration tools (e.g., Docker, Kubernetes) for ML model deployment?
• Do you have experience deploying models on cloud platforms such as AWS, Azure, or GCP?
• Have you managed the end-to-end lifecycle of an ML model (training, deployment, monitoring)?
• Do you have experience with CI/CD pipelines for ML model deployment?

Education:

• Bachelor's (Preferred)

Language:

• English fluently (Preferred)

Location:

• Islamabad (Preferred)

Work Location: In person