Sr. AI/ML Engineer

Accelyst is an innovative AI Consultancy that leverages a unique catalog of industry-specific Agents and leading-edge AI platforms to deliver tangible, integrated, secure and ROI-optimized solutions. We combine deep industry and technical expertise to enable rapid deployment of innovative AI-driven capabilities to augment and automate client workflows for employees, customers, prospects, and investors.

Why Accelyst?

Join Accelyst to be part of a dynamic team that leverages AI-driven technology to make a positive impact. Our leadership, with Big Four Consulting experience, fosters a nimble, client-focused environment, minimizing bureaucracy to enhance delivery and professional growth. You'll work on complex AI projects that challenge and inspire, meeting high client expectations. Additionally, benefit from our profit-sharing model, reflecting our commitment to respect and integrity for all employees.

Job Summary:

Accelyst is seeking a highly skilled and innovative Senior AI/ML Engineer to join our dynamic team. In this role, you will be responsible for developing and deploying cutting-edge AI and machine learning solutions, with a strong focus on Generative AI, Large Language Models (LLMs), and NLP-based applications. You will collaborate closely with cross-functional teams to design, implement, and optimize AI-driven solutions that enhance business processes and user experiences.

Responsibilities:

• Design, develop, and optimize machine learning and deep learning models to solve complex business challenges.
• Implement and fine-tune Generative AI models, LLMs, and NLP/NLU-based systems for automation and intelligent applications.
• Develop and maintain efficient data pipelines for processing and analyzing large-scale datasets.
• Utilize advanced mathematical and algorithmic techniques to enhance model accuracy and performance.
• Apply AI security principles to safeguard models and data against adversarial threats.
• Integrate AI models into production environments using MLOps and DevOps best practices.
• Leverage cloud platforms (AWS, Azure, GCP) for scalable AI/ML deployment.
• Collaborate with software engineers, data scientists, and business teams to ensure seamless AI implementation.
• Continuously research and evaluate emerging AI technologies to drive innovation.

Qualifications:

• Candidates must have hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn this is a non-negotiable requirement.
• Strong understanding of neural network architectures, particularly for Generative AI and Large Language Models (LLMs).
• Experience with NLP, NLU, and AI-driven automation frameworks.
• Solid knowledge of data processing, feature engineering, and model optimization.
• Understanding of AI security principles to ensure robust model deployment.
• Experience with cloud services (AWS, Azure, GCP) for AI/ML applications.
• Familiarity with MLOps, DevOps, and CI/CD pipelines for AI model deployment.
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Excellent communication and analytical skills to translate complex AI concepts into business insights.