Senior Machine Learning Engineer
Company
EPAM Systems
Location
Ankara, Turkey
Type
Full Time
Job Description
We are seeking a Senior Machine Learning Engineer with expertise in implementing Python-based data applications in AWS.
You will be responsible for building and deploying CI/CD pipelines for Natural Language Processing and LLM-based applications, ideally using LLM orchestration frameworks. Your experience in the evaluation and monitoring of LLM-based applications will be crucial for the success of our projects.
#LI-DNI
Responsibilities
- Collaborate with internal teams to design and implement Python-based data applications in AWS
- Build and deploy CI/CD pipelines for Natural Language Processing and LLM-based applications
- Evaluate and monitor LLM-based applications for performance and accuracy
- Develop and deploy GenAI applications for language modeling
- Contribute to the design and implementation of MLOps / AIOps for efficient ML model deployment and management
- Utilize SQL for data querying and manipulation
- Stay updated with the latest developments in the field of Machine Learning Engineering
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- At least 3 years of experience in Machine Learning Engineering with a strong focus on Python-based data applications in AWS
- Proven track record of building and deploying CI/CD pipelines for Natural Language Processing and LLM-based applications
- Solid understanding and practical experience with MLOps / AIOps for efficient ML model deployment and management
- Proficiency in SQL for data querying and manipulation
- Experience in developing and deploying GenAI applications for language modeling
- Familiarity with LangChain and/or Llama-index for LLM orchestration
- Ability to evaluate and monitor LLM-based applications for performance and accuracy
- Fluency in English language (B2+ or higher) for effective communication within the team and with stakeholders
- Experience in LLM Application Development and Deployment
- Knowledge of LLM Orchestration Frameworks such as Langchain, llama-index, or HuggingFace
- Previous industry experience in Life Sciences & Healthcare
- CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT:
- Diversity of tasks and projects
- Assessment center for objective review of competency level
- Personal development plan
- Mentoring programs and leadership development
- Certification and professional development support
- Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses
- English courses taught by certified teachers
- CORPORATE BENEFITS:
- Extra leave days
- Referral bonuses
- COMPENSATION PACKAGE:
- Competitive compensation paid in USD
- Regular salary and performance reviews
- MEDICAL & HEALTHCARE:
- Private health insurance
- Well-being events
- WORKING ENVIRONMENT:
- Recreation areas and kitchens
- Tea, coffee, and snacks
- Well-being events
- Sports equipment and game consoles
- IT Equipment
- Microsoft's Software Assurance Home Use Program (HUP)
Date Posted
11/10/2024
Views
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