Sr. Machine Learning Engineer - Gcp (Remote)

Sr. Machine Learning Engineer | GCP

Kaizen Analytix LLC, an analytics products and services company that gives clients unmatched speed to value through AI/ML solutions and actionable business insights, is seeking qualified candidates for Senior Machine Learning Engineer who are highly skilled and experienced professionals responsible for designing, developing, and maintaining complex ML projects and managed data warehouses for hosting large datasets used in the models. The ideal candidate will have a strong understanding of deep learning, vector embeddings, and resolving the challenges of storing the embeddings; and using advanced data engineering principles and best practices, as well as work with massive datasets (100 GB+) that are unstructured, like video, audio images, and text. We seek candidates who can support AI projects with the requisite knowledge on Deep Learning, Embeddings, Data Engineering skills required for storing Deep Learning-based outcomes.

Responsibilities:

Analysis and Design

• Conducts fact-gathering sessions with users.
• Consult with Technical Managers and Business Owners to identify and analyze technological needs and problems.
• Performs data flow diagramming and/or process modeling (code architecture).
• Design, develop, and deploy Machine Learning models for a variety of tasks, such as classification, image recognition, natural language processing, and anomaly detection.
• Evaluate the performance of Machine Learning models and tune them for optimal performance.
• Design, develop and implement efficient ML Ops that are scalable and robust.
• Collect, clean, and prepare data for Machine Learning models.
• Collaborate with data scientists, engineers, and other stakeholders to define and prioritize Machine Learning projects.
• Stay up to date on the latest advancements in Machine Learning research and best practices.
• Work with stakeholders to gather requirements and define data models.
• Troubleshoot data issues and performance problems.
• Work with other engineers to develop and maintain the company's data infrastructure.
• Stay up to date on the latest data engineering technologies and trends, specifically on vector stores.

Strategy Alignment

• Works with the other technical team members to continually improve implementation strategies, development standards, documentation, and other departmental processes.
• Provides technical assistance and mentoring to subordinates.
• Communicates plans, status, and issues to management regularly.
• Adheres to department standards, policies, procedures, and industry best practices.

Job Requirements:

• Masters degree in Computer Science or a related field with course work relevant to Machine Learning/Deep Learning and Data Science
• 5+ years of experience in working and productionalizing Machine Learning products.
• Proven experience with Machine Learning frameworks such as TensorFlow, PyTorch, Keras, vector stores.
• Strong in Python programming and object-oriented programming paradigms.
• Strong understanding of data engineering principles and best practices.
• Strong understanding of Vertex AI and Vector Search.
• Experience with distributed computing technologies on Google Cloud Platform technologies, including BigQuery, Cloud Dataproc, Cloud Dataflow, and Cloud Data Fusion.
• Must be aware of CI/CD pipelines and well-versed in using any tools like Jenkins, Cloud Build, and TeamCity for creating required pipelines for CI/CD.
• Takes initiative and proposes solutions and workarounds; ready to work through strict deadlines.
• Troubleshoot key customer implementation issues and demonstrate the ability to drive to a successful resolution.
• Responsible for end-to-end Solution Design, Architecture, and best practices to integrate with the GCP ecosystem and infrastructure.
• Ability to partner with domain architects to develop the end-to-end solution architecture, including application, infrastructure, data, integration, and security domains.

Good to have:

• Requisite experience with social media data analytics involving high volume and high frequency data.
• Worked with any application development projects focused on data engineering activities using any of the programming languages (Python, SQL, Java).
• Good understanding of the Generative AI and LLMs landscape with a focus on vector store and retrieval techniques.