Metas Solutions · 1 week ago
Machine Learning Engineer
Wonder how qualified you are to the job?
Insider Connection @Metas Solutions
Responsibilities
Being as part of customer success team, assist, develop, and collaborate in ML models and algorithms, specifically focusing on integrating Azure OpenAI services and Large Language Models.
Utilize Databricks for large-scale data processing and model training, ensuring efficient data manipulation and transformation.
Develop and deploy web applications and APIs using Streamlit, Flask, and FastAPI to enable interactive data visualization and real-time model interaction.
Collaborate with cross-functional teams to define problem statements, gather requirements, and deliver ML-driven solutions that align with business goals.
Implement and maintain machine learning solutions within Azure cloud environments, ensuring scalability, performance, and security.
Optimize machine learning pipelines for performance and scalability using LangChain for natural language processing tasks.
Conduct A/B testing and other experimental designs to validate models against business objectives.
Document all processes and models in detail to ensure reproducibility and compliance with industry standards.
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field.
Strong programming skills in Python and extensive experience with machine learning libraries and frameworks.
Proven experience with Azure and its AI capabilities, including the use of Azure OpenAI and LLMs.
Experience with Databricks for data engineering and exploratory data analysis.
Proficient in building and deploying web applications using Streamlit, Flask, and FastAPI.
Familiarity with the deployment of scalable machine learning models in a production environment.
Strong problem-solving skills and ability to work collaboratively in a fast-paced, team environment.
Preferred
Experience with other cloud platforms like Azure or AWS
Familiarity with additional programming languages such as .Net, C#, Java
Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
Experience in applying machine learning techniques to real-world business problems.
Benefits
Medical
Dental
Vision
Life Insurance
Paid Time Off (PTO)
401K with company match
Growth and promotion opportunities