What are the responsibilities and job description for the AI/ML Engineer || W2 Only || REMOTE (but interview on-site to Dallas,TX and Hartford, CT.) position at Xlysi?
MLE JD:
Position Summary
We are seeking a Machine Learning Engineer to design and implement robust AI/ML applications that drive innovation and business insights. You will collaborate closely with data scientists, software engineers, and product managers to integrate ML capabilities into our products and services, ensuring high performance and scalability. Strong Python programming skills is essential, must have prior experience working on GCP and Vertex AI, as well as working with BigQuery and NoSQL databases like MongoDB.
Required Qualifications
- Proven experience as a Machine Learning Engineer (5 years)
- Proficiency in Python programming language
- Experience with RDBMS & NoSQL databases (e.g., MongoDB, BigQuery)
- Experience with data preprocessing, feature engineering, and model evaluation
- Experience with cloud platforms (Google Cloud, Azure)
- Understanding of machine learning concepts and workflows
Preferred Qualifications
- Familiarity with Vertex AI & Azure OpenAI
- Experience working with LLMs and RAGs in a production environment
- Knowledge of natural language processing (NLP)
- Experience working with Kubernetes (GKE), Docker, and or DataFlow
- Familiarity with big data technologies (Apache Spark, Ray, Dask)
- Experience with streaming data technologies (e.g., Apache Kafka, PubSub)
- Familiarity with version control systems (e.g., Git)
- Strong problem-solving skills and attention to detail
- Ability to work collaboratively in a team environment
Education- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field
- Relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) are a plus
Position Summary
We are seeking a Machine Learning Engineer to design and implement robust AI/ML applications that drive innovation and business insights. You will collaborate closely with data scientists, software engineers, and product managers to integrate ML capabilities into our products and services, ensuring high performance and scalability. Strong Python programming skills is essential, must have prior experience working on GCP and Vertex AI, as well as working with BigQuery and NoSQL databases like MongoDB.
Required Qualifications
- Proven experience as a Machine Learning Engineer (5 years)
- Proficiency in Python programming language
- Experience with RDBMS & NoSQL databases (e.g., MongoDB, BigQuery)
- Experience with data preprocessing, feature engineering, and model evaluation
- Experience with cloud platforms (Google Cloud, Azure)
- Understanding of machine learning concepts and workflows
Preferred Qualifications
- Familiarity with Vertex AI & Azure OpenAI
- Experience working with LLMs and RAGs in a production environment
- Knowledge of natural language processing (NLP)
- Experience working with Kubernetes (GKE), Docker, and or DataFlow
- Familiarity with big data technologies (Apache Spark, Ray, Dask)
- Experience with streaming data technologies (e.g., Apache Kafka, PubSub)
- Familiarity with version control systems (e.g., Git)
- Strong problem-solving skills and attention to detail
- Ability to work collaboratively in a team environment
Education- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field
- Relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) are a plus