AI Engineer

Job Description: AI Engineer

We are seeking a highly skilled AI Engineer with expertise in developing and deploying Generative AI and Machine Learning solutions. The ideal candidate will excel in designing scalable AI platforms on enterprise on-premises and cloud platforms such as GCP, AWS, and Azure.

Key Responsibilities:

• Design and implement advanced AI/ML models, including LLMs, for enterprise applications.
• Automate model deployments and inferencing on cloud platforms (GCP Vertex AI, AWS Bedrock, Azure ML).
• Build and manage vector databases, data pipelines, and ETL processes using Python, Spark, and BigQuery.
• Develop robust APIs using Python and FastAPI for seamless integration.
• Collaborate with cross-functional teams to define and deliver end-to-end AI/ML solutions.
• Utilize MLOps practices for streamlined deployment and monitoring of AI/ML models.
• Create real-time analytics frameworks and dashboards for actionable insights.
• Leverage advanced NLP techniques for chatbots, sentiment analysis, and data extraction.

Qualifications:

• Proficiency in AI tools like TensorFlow, LangChain, and GPT-based models.
• Expertise in cloud technologies (AWS, Azure, GCP) and Big Data tools (Spark, Hadoop).
• Strong experience in Python programming and API development.
• Advanced knowledge in prompt engineering, NLP, and vector databases.
• Proven track record of deploying AI-driven solutions in production environments.
• Hands-on experience with Docker, Kubernetes, Terraform, and CI/CD pipelines.

Preferred:

• Master's degree in Business Analytics, Information Technology, or related field.
• Strong problem-solving skills with experience in exploratory data analysis and statistical modeling