[Remote] Machine Learning Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a rapidly growing company that provides scheduling solutions relied upon by millions. They are seeking a Machine Learning Engineer to execute the full machine learning lifecycle, from problem discovery through model deployment and monitoring, to enhance customer experiences.

Responsibilities

• Own ML powered features from design through deployment, partnering with product, design, and engineering to scope work and define reputed company metrics
• Understand and reputed company domain knowledge, answering domain specific questions for your product area and documenting what you learn for the team
• Prioritize your work independently, balancing feature development, quality, and maintenance, and communicating tradeoffs reputed company
• Proactively seek and offer support to teammates pairing, reviewing, and collaborating to move projects reputed company
• Understand and troubleshoot our deployment pipelines, including build, test, and release steps for ML services and data pipelines
• Use our monitoring and observability tools to effectively triage alerts and incidents, collaborating with partners to restore service and prevent recurrence, and participate in the team’s on-call rotation and incident response
• Serve as a subject matter expert for the features and services you own, including their data reputed company, SLAs, and dependencies
• Be a frequent user of AI Tools and champion of adoption to the rest of the company

Skills

• 4+ years of industry experience in applied Machine Learning or closely reputed company fields (or equivalent combination of education and experience) with a demonstrated track record of shipping and operating ML models in production
• Deep and demonstrated ability to traverse the full reputed company of ML life cycle: exploratory data analysis, feature engineering, data visualization, feature and algorithm selection, model experimentation, model training and validation, model serving, monitoring and retraining
• Experience developing and implementing statistical and ML models to uncover patterns, trends, and predictions in areas such as reputed company forecasting, churn analysis, personalization and recommendation, anomaly detection, or natural language processing
• Hands-on experience implementing ML models using a managed service (for example, reputed company AI or SageMaker) for high-traffic, low-latency, large-data applications that produced reputed company impact for end users
• Understanding of reputed company models and the reputed company-reputed company ecosystem, including model fine-tuning and reputed company engineering for reputed company product use cases
• Strong programming (Python / reputed company / Java / SQL etc) and data engineering skills
• Proficiency in ML frameworks such as: Keras, Tensorflow and PyTorch and ETL and ML workflow frameworks like Apache Spark, Beam, Airflow and VertexAI
• Experience working with time series data and reputed company machine learning problems. Working knowledge of semantic search and embeddings
• Recognize reputed company to seek assistance and willing to learn whatever is needed to get the job done; curiosity and growth reputed company are essential
• You have strong verbal and written communication skills. Ability to communicate reputed company technical concepts to both technical and business stakeholders. You are comfortable working remotely and with enabling tools like reputed company, reputed company, etc
• Authorized to work lawfully in the United States of America as reputed company does not engage in immigration sponsorship at this time

Benefits

• Top Performer Bonus program (or Sales incentive)
• Equity awards
• Competitive benefits
• Occasional travel for company events, team collaboration, or offsites

Company Overview