Senior Machine Learning Engineer

Job DescriptionJob Description

About Client:
The client is a leading digital transformation consultancy and engineering services company that specializes in driving digital transformation for Fortune 1000 enterprises. The company provides a comprehensive range of services, including cloud migration, big data analytics, machine learning, artificial intelligence, and DevOps. It is known for its deep technical expertise and innovative solutions that help businesses optimize operations, improve customer experience, and accelerate time-to-market. The company operates globally, with development centers and offices across the United States, Europe, and Latin America.

Salary Range: $200K-$210K/Annum

Job Description:

• We are seeking a highly skilled ML Engineer to join our team. You will work on creating robust and scalable systems, enhancing our project code base, and ensuring seamless integration pipeline.

Essential Functions:

• Design and implement complex LLM applications for enterprise-scale solutions
• Lead LLM quality evaluation initiatives, including developing metrics and automated testing frameworks
• Drive LLM/VLM fine-tuning projects, including dataset preparation and optimization
• Develop and maintain ML pipelines following MLOps best practices
• Collaborate with cross-functional teams to integrate ML solutions
• Mentor team members on ML engineering best practices
• Contribute to architectural decisions for ML systems
• Evaluate and implement new ML technologies and frameworks
• Document technical designs and maintain engineering standards

Qualifications:

• 5+ years of experience in Machine Learning Engineering
• Deep expertise in designing and implementing complex LLM applications, including multimodal, RAG, and agent-based systems
• Proven experience with LLM quality evaluation, including metric design and automation frameworks
• Strong background in LLM/VLM fine-tuning and distributed training frameworks (Ray or similar)
• Expert-level Python programming skills with focus on ML/data applications
• Solid understanding of MLOps and LLMOps principles and best practices
• Experience with production ML systems and scalable data processing pipelines
• MS/PhD in Computer Science, Machine Learning, or related field

About ApTask:
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-certified company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Candidate Data Collection Disclaimer:
At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

If you have any concerns or queries about your personal information, please feel free to contact our compliance team at businessexcellence@aptask.com .

Applicant Consent:
By submitting your application, you agree to ApTask's (www.aptask.com) Terms of Use and Privacy Policy , and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or help@aptask.com. Message frequency may vary. Msg & data rates may apply.