AI/ML Engineer

Position/ TITLE: AI/ML Engineer
Location : onsite - US(NY/NJ/Dallas, TX)
Who are we looking For:
We are seeking a skilled and motivated AI/ML Engineer with 8 to 12 years of hands-on experience in building and deploying scalable machine learning solutions. The ideal candidate will have a deep understanding of the end-to-end ML lifecycle, MLOps practices, and cloud-native technologies. You will play a critical role in automating, scaling, and optimizing our clients' machine learning systems, and contribute to advancing MLOps maturity across the organization.
Key Responsibilities:
• Automate the deployment, monitoring, and retraining machine learning models across various environments.
• Design, develop, and deploy scalable ML tools and services for training and inference tailored to client needs.
• Identify and evaluate emerging technologies to enhance the performance, scalability, and reliability of ML systems.
• Drive continuous improvement of MLOps pipelines, ensuring alignment with industry best practices.
• Troubleshoot issues throughout the ML lifecycle-from data preprocessing to model serving-within MLOps frameworks.
• Implement monitoring and detection mechanisms for data drift and model drift.
• Contribute to internal research initiatives and best practice frameworks to elevate organizational MLOps maturity.
• Prepare documentation and deliver presentations on MLOps tools, processes, and enhancements.
Technical Skills - Must Have
• Bachelor's or master's degree in computer science, Data Science, or a related field.
• Strong programming skills in Python with hands-on experience in ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Expertise in Python: Design, develop, and maintain robust and scalable back-end APIs using Python and relevant frameworks.
• Experience with ML workflow orchestration tools like MLflow or Kubeflow.
• Solid understanding of data architecture, data engineering, and data management practices.
• Familiarity with tools and processes used by data scientists, with experience in software development and test automation.
• Proven ability to design and implement MLOps pipelines in cloud environments such as AWS, Azure, or GCP.
• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Strong analytical and problem-solving abilities to address complex system-level challenges.
• Excellent communication and interpersonal skills, with the ability to convey technical concepts to diverse stakeholders.
Technical Skills - Good to have
• Knowledge of additional languages like Java, C#, or Javascript is a plus.
Preferred Qualifications:
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
• A portfolio showcasing AI/ML and NLP projects.
Process Skills:
• General SDLC processes
• Understanding of utilizing Agile and Scrum software development methodologies
• Skill in gathering and documenting user requirements and writing technical specifications.
Behavioral Skills:
• Work closely with designers, Architects, data scientists, product managers, and other engineers to deliver comprehensive solutions.
• Strong problem-solving skills, with a creative approach to tackling complex challenges.
• Communicate effectively and share technical knowledge with the team.
• Be open to feedback and continuously learn and adapt to new technologies.
• Ability to work independently and as part of a team.
• Passion for learning and staying updated on the latest technologies.
• Good Attitude and Quick learner .
Certification (Good to have) :
• Cloud development certification (Any of GCP, Azure or AWS)
• AI/ML certification
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.