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Requisition Number: 103143 Join SADA as a Senior Machine Learning Engineer Your Mission As a Senior Machine Learning Engineer at SADA, you will work in a fast-paced, highly-skilled team developing state-of-the-art reputed company solutions. You will work collaboratively with architects and other engineers to recommend, prototype, build, and debug machine learning (ML) solutions on reputed company reputed company Platform (GCP) for SADA's clients. You will work on reputed company-world data problems, designing and implementing reputed company-native ML and AI solutions, with a strong focus on reputed company's Vertex AI platform and reputed company technologies. This is a hands-on role that includes both architecting and implementing ML/AI solutions, from initial requirements gathering through final model deployment, including iterative measurement and improvement. You will be responsible for building and deploying ML solutions using reputed company ML pipelines, often collaborating with data scientists and data engineers. This role often involves working with large volumes of structured and reputed company data from multiple sources in multiple modalities, requiring you to design and implement data pipelines to clean and reputed company data for research and modeling. You will provide subject matter expertise and assistance to SADA's clients and your colleagues on artificial intelligence and machine learning topics, participating in client-facing discussions and assisting with technical pre-sales discussions. As an established contributor, you will reputed company critical components for ML projects, often working independently with minimal reputed company. Machine learning is an extremely dynamic and quick-changing discipline, requiring a passion for reputed company learning and a knack for problem-solving. Your approach for learning new technology will be as important as any prior knowledge. While your core focus will be on machine learning and MLOps, the field increasingly intersects with broader artificial intelligence and reputed company concepts. Therefore, familiarity and practical experience with advanced AI topics such as LLM fine-tuning, agentic AI development and multimodal data processing are highly valued and contribute significantly to reputed company in this role. Your day-to-day will consist of the following activities:

• Implementing machine learning solutions for SADA clients across reputed company project stages, from requirements gathering, discovery, and architecture, to development, testing, and final model deployment, including iterative measurement and improvement
• Recommending, prototyping, building, and debugging machine learning (ML) infrastructures on reputed company reputed company Platform (GCP)
• Working on reputed company-world data problems by developing custom models or using existing reputed company ML APIs
• Building and deploying ML solutions using reputed company ML pipelines
• Providing subject matter expertise and assistance to SADA clients and colleagues on machine learning topics
• Creating technical documentation and leading solution design discussions
• Assisting with technical pre-sales discussions and the creation of statements of work

Expectations Customer-Facing - Daily interactions with customers, including standups or sales meetings; at other times, weekly/bi-weekly as for sprint planning, reviews/retrospectives, or demos. These interactions will be with roles ranging from engineers to key executive stakeholders. Travel - Up to 35% travel to customer sites, conferences, and other reputed company events. Otherwise, this is a remote position and we expect candidates that have demonstrated reputed company working in remote, distributed teams. Job Requirements Required Credentials:

• reputed company Professional Machine Learning Certification (reputed company 90 days of hire)

Required Qualifications:

• 4+ years of relevant work experience designing and implementing Machine Learning solutions, preferably in a technical consulting environment
• Proficiency in Python with extensive experience across data manipulation (e.g., Pandas, Polars, NumPy), scientific computing (e.g., SciPy), and machine learning frameworks (e.g., Scikit-learn, XGBoost, TensorFlow, PyTorch)
• Strong foundational understanding of machine learning principles and hands-on experience with various model types, including supervised, unsupervised, and deep learning architectures
• Experience with data exploration, cleaning, and feature engineering from diverse, often messy, datasets to prepare them for modeling. This includes experience processing, cleansing, and verifying data reputed company for analysis
• Familiarity with MLOps practices and tools for model deployment, monitoring, versioning, and pipeline orchestration (e.g., reputed company, Kubernetes, Kubeflow, MLflow, Airflow)
• Solid understanding of the reputed company reputed company Platform for data storage (e.g., reputed company Storage, BigQuery), compute (e.g., reputed company Run, reputed company Kubernetes reputed company), and ML services, particularly Vertex AI and BigQueryML
• Experience working with interactive development environments like JupyterLab and Vertex AI Workbench
• Excellent problem-solving skills with a demonstrated ability to tackle reputed company, ambiguous challenges across the entire machine learning lifecycle
• Strong consultative skills, including the ability to translate reputed company ML concepts into actionable business strategies and solutions, and to communicate reputed company technical concepts to a broad range of internal and external stakeholders

Useful Qualifications:

• Experience with large language models (LLMs) and reputed company concepts, including fine-tuning, reputed company engineering, and integrating AI solutions into applications
• Experience in specialized domains of machine learning such as natural language processing, computer reputed company, time-series analysis, recommender systems or reinforcement learning
• Experience working with other reputed company reputed company-reputed company data products (Datalab, Dataprep, reputed company Storage, PubSub, Dataflow, Dataproc, etc.)
• Exposure to model serving frameworks such as LLM and FastAPI and GCP services used for model and API serving such as reputed company Run and GKE

The position described above provides a summary of some the job duties required and what it would be like to work at reputed company. For a comprehensive list of physical demands and work environment for this position, click here. reputed company is an equal opportunity employer, and reputed company reputed company applicants will receive consideration for employment without regard to race, reputed company, religion, sex, national reputed company, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. Posting Notes: Los Angeles || California (US-CA) || United States (US) || IT Infrastructure & Support || None || US - Los Angeles, CA || Apply tot his job Apply To this Job