AI/ML Engineer

About Client: The client provides information technology (IT) services, including business outsourcing, infrastructure technology, and application services. The application service offered by the company includes application development, maintenance, and support. The markets served by the company are financial services and insurance, healthcare, manufacturing, government, transportation, communications, and consumer and retail industries. Rate Range: $70-$75/hr C2C | $65/hr W2 without Benefits Salary: $140k per annum Benefits Job Description: Responsibilities: Develop and implement AI/Client models and algorithms to solve business problems. Collaborate with cross-functional teams to understand requirements and translate them into technical solutions. Train and evaluate AI/Client models using large datasets. Train and evaluate AI/Client models to help design test cases , automate coding , design self healing codes , predict defects, identify optimized regression cases, etc. Apply advanced statistical and Client techniques, including predictive modeling, time series analysis, and optimization algorithms, to extract insights from complex data sets. Optimize and fine-tune AI/Client models for performance and accuracy. Design and develop data pipelines to preprocess and transform data for AI/Client models. Continuous Learning: Stay updated with the latest trends and advancements in data science, machine learning, and related fields, and actively seek opportunities to enhance skills and knowledge. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 6-9 years of demonstrated experience in applied AI/Client engineering. Strong programming skills in Python, with experience in developing and maintaining production-level code. Proficiency in working with large datasets and data preprocessing. Solid understanding of Software Testing and SRE practices Solid understanding of AI/Client algorithms and techniques, including deep learning, time series forecasting and natural language processing. Experience with cloud platforms, such as AWS for deploying and scaling AI/Client models. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Knowledge of infrastructure operations Preferred Qualifications: Experience in backend development, including databases (SQL/NoSQL/Graph), programming languages (Python/Java/Node.js), web frameworks, APIs, and microservices and possess front-end development skills, including HTML, CSS, and JavaScript Experience in Automated software testing and Test Automation Frameworks Knowledge of large language models (LLMs) , Generative AI and accompanying toolsets the LLM ecosystem (e.g. Langchain, Vector databases, CHATGPT) Assess and choose suitable LLM tools and models for diverse tasks including but not limited to curating custom datasets and fine-tune LLM with a focus on parameter-efficient, mixture-of-expert, and instruction methods designing and developing advanced LLM prompts, Retrieval-Augmented Generation (RAG) solutions, and Intelligent agents for the LLMs and executing experiments to push the capability limits of LLM models and enhance their dependability. 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 businessexcellenceaptask.com.