AI/ML Engineer

Job Title:  Machine Learning Engineer / Data Scientist Location: Reston VA (3 Days onsite Per week) Duration: 12+ Months Contract Job id – 175775 About the Role • We are seeking a highly skilled and motivated AI/ML Engineer to join our team and drive the development and optimization of AI solutions. This role is ideal for someone who thrives at the intersection of machine learning, large language models (LLMs), and cloud infrastructure. You will collaborate closely with business stakeholders to design, build, and refine intelligent systems that leverage cutting-edge technologies. Key Responsibilities • Collaborate with business teams to understand requirements and translate them into ML models and prompt-based solutions. • Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI. • Optimize and adapt prompt engineering strategies to improve model performance and relevance. • Integrate and deploy models using AWS services including Bedrock, S3, ECS, EC2, Lambda and other AI/ML related services. • Build and maintain scalable data pipelines and APIs to support ML workflows. • Monitor model performance and iterate based on feedback and metrics. • Stay current with advancements in AI/ML and cloud technologies to ensure our solutions remain cutting-edge. Required Qualifications • Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field. • 3+ years of experience in machine learning, data science, or AI engineering. • Hands-on experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering. • Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). • Deep experience with AWS services, especially Bedrock, S3, EC2, and Lambda • Familiarity with MLOps practices and tools for model deployment and monitoring. • Excellent problem-solving skills and ability to communicate technical concepts to non-technical stakeholders. • Strong programming skills in data analytics related languages and libraries, such as Python, R, Pandas, or JavaScript. • Experience with AWS SageMaker for model development and model deployment. • Understanding of quantitative/statistical/ML/AI modeling methodologies. • Experience in ML engineering, including hands-on experience with Generative AI/LLMs. • Experience with developing and deploying AI Agents for business problems. Preferred Qualifications • Experience with fine-tuning or customizing foundation models. • Knowledge of data privacy and security best practices in cloud environments. • Familiarity with containerization (Docker) and container orchestration is a plus. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: • Pay any fee to be considered for, submitted to, or selected for any opportunity. • Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. • Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $70-75/hr. The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com Add your LinkedIn Hashtag at end of the job description