Senior AI Engineer

2 days ago

Taguig, National Capital Region, Philippines DXC Technology Full time ₱900,000 - ₱1,200,000 per year

Job DescriptionProject Description:As an AI Engineer, you will be responsible for designing, developing, deploying, and maintaining AI models and systems. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and reliable AI solutions. The ideal candidate should have a strong background in machine learning, software development, and a passion for innovation.

Responsibilities:Develop, train, and validate machine learning models. Experiment with different algorithms and architectures to solve complex problems. Fine-tune models for optimal performance.

Apply techniques such as regularization, cross-validation, and hyperparameter tuning. Data Preparation and Pre-processing:Collect, clean, and preprocess raw data. Conduct exploratory data analysis.

Transform data into a format suitable for training AI models. Deploy trained models into production environments. Integrate models into existing systems and implement APIs for model inference.

Monitor and maintain deployed models. Performance Monitoring and Optimization:Monitor the performance of deployed models. Identify and fix issues related to model performance.

Optimize models for speed, accuracy, and resource utilization. Implement A/B testing to evaluate model changes. Work closely with cross-functional teams, including software engineers, data scientists, and domain experts, and communicate effectively with non-technical stakeholders.

Participate in code reviews and design discussions. Additional Responsibilities:Develop and optimize Langchain-heavy applications for various LLM-driven workflows. Design, build, and maintain API endpoints written in Flask to expose LLM models.

Integrate LLMs (Huggingface, OpenAI, etc.) into scalable applications. Work with vector databases (ChromaDB, Redis) for RAG processes. Implement prompt engineering strategies to improve model performance.

Deploy and manage models/projects on AWS (EC2) and/or Openshift using Docker containers. Mandatory Skills:6+ years of relevant experience. Bachelor's/Master's/Ph.

D. in Computer Science, Engineering, Mathematics, or related fields. Proven experience in developing and deploying machine learning models. Proficiency in Python and frameworks such as TensorFlow, PyTorch, or scikit-learn.

Strong understanding of data structures, algorithms, and statistical techniques. Experience with cloud platforms like AWS, Azure, or Google Cloud Platform. Excellent problem-solving, analytical, communication, and collaboration skills.

Preferred Qualifications:Experience with Docker, Kubernetes, Hadoop, Spark, Kafka. Experience with data engineering and creating data pipelines. Familiarity with software development best practices, including version control, testing, and CI/CD.Publications related to AI and machine learning are a plus.

RequirementsPlease refer to the detailed job description above. Additional skills include communication, problem solving, adaptability, time management, teamwork, attention to detail, critical thinking, organization, creativity, and customer service. Working Location28 Upper McKinley Rd, Intellectual Property Center Building, Taguig, National Capital Region, PHPlease be vigilant against job scams, especially if asked to work overseas or if the employer exhibits suspicious behavior such as withholding IDs or requesting guarantees or property.

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