AI Engineer

Job Description US Work Authorization Requirement: Candidates must be legally authorized to work in the United States without employer sponsorship. This includes, but is not limited to, U.S. Citizens, Permanent Residents, and other individuals with valid U.S. work authorization. Role Overview: We are seeking a highly experienced AI Engineer to design, develop, and deploy scalable AI and machine learning solutions in production environments. The ideal candidate will have a strong background in building intelligent systems, optimizing models, and integrating AI capabilities into enterprise applications. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models for real-world business use cases Build and maintain scalable data pipelines and AI-driven microservices using Python Implement model training, evaluation, tuning, and performance optimization techniques Integrate AI/ML solutions into enterprise applications through APIs and cloud platforms Support MLOps practices including CI/CD pipelines, deployment automation, and production monitoring Ensure model reliability, scalability, and performance in production environments Collaborate with engineering, data, and business teams to translate requirements into AI solutions Required Skills & Experience: 12+ years of overall experience in software engineering, AI, or machine learning Strong expertise in Python, including NumPy, Pandas, and FastAPI Hands-on experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn Proven experience deploying and maintaining ML models in production environments Strong understanding of cloud platforms such as AWS, Azure, or GCP Experience with Docker, Kubernetes, and containerized deployments Solid knowledge of RESTful APIs and microservices architecture Experience with MLOps, CI/CD pipelines, and model monitoring  Preferred Skills: Experience with NLP, Large Language Models (LLMs), or Generative AI Familiarity with enterprise-scale, distributed systems and data platforms Apply Online Your Name * Your Phone Number * Your Email Address * Job id What is your current U.S. visa or immigration status? * SelectU.S. Citizen (USC)Lawful Permanent Resident (Green Card holder)H1BF1-OPT/Stem-OPT/CPT EADH4-EADL-2SGC-EADOther Valid Visa Where are you currently located at? * W2 or C2C * SelectW2C2C How many years of total experience do you have? * How many years of relevant experience do you have? * Do you require H1B sponsorship? * YesNo Do you require sponsorship? * NoYes – H-1B transferYes – Green Card sponsorshipYes – Both H-1B transfer and Green Card sponsorship Upload Resume * Δ US Work Authorization Requirement: Candidates must be legally authorized to work in the United States without employer sponsorship. This includes, but is not limited to, U.S. Citizens, Permanent Residents, and other individuals with valid U.S. work authorization. Role Overview: We are seeking a highly experienced AI Engineer to design, develop, and deploy scalable AI and machine learning solutions in production environments. The ideal candidate will have a strong background in building intelligent systems, optimizing models, and integrating AI capabilities into enterprise applications. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models for real-world business use cases Build and maintain scalable data pipelines and AI-driven microservices using Python Implement model training, evaluation, tuning, and performance optimization techniques Integrate AI/ML solutions into enterprise applications through APIs and cloud platforms Support MLOps practices including CI/CD pipelines, deployment automation, and production monitoring Ensure model reliability, scalability, and performance in production environments Collaborate with engineering, data, and business teams to translate requirements into AI solutions Required Skills & Experience: 12+ years of overall experience in software engineering, AI, or machine learning Strong expertise in Python, including NumPy, Pandas, and FastAPI Hands-on experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn Proven experience deploying and maintaining ML models in production environments Strong understanding of cloud platforms such as AWS, Azure, or GCP Experience with Docker, Kubernetes, and containerized deployments Solid knowledge of RESTful APIs and microservices architecture Experience with MLOps, CI/CD pipelines, and model monitoring  Preferred Skills: Experience with NLP, Large Language Models (LLMs), or Generative AI Familiarity with enterprise-scale, distributed systems and data platforms [contact-form-7 id="ac31dcc" title="Job Apply Form"]