Sr ML Engineer

Key Skills

Aartificial intelligence, Algorithms, Azure, Business Intelligence, Data science techniques, Generative AI, IT, Large data sets, Machine learning techniques, OpenCV, PowerBI, PyTorch, Scikit-learn, TensorFlow

Job Description

We are seeking a talented and experienced Machine Learning Engineer with a strong background in developing and implementing machine learning solutions. The ideal candidate will have a minimum of 2 years of real-time experience, demonstrating expertise in machine learning algorithms, model deployment, and a solid understanding of cloud platforms, particularly Azure.

SUMMARY OF RESPONSIBILITIES

• Develop, implement, and optimize machine learning models to address business challenges and improve processes.
• Collaborate with cross-functional teams to gather requirements, understand business objectives, and translate them into actionable ML solutions.
• Stay updated with the latest advancements in traditional AI and Gen AI, machine learning and contribute innovative ideas to enhance our data science capabilities.
• Build, train, and deploy ML models at scale, ensuring efficient integration into production environments.
• Work closely with data engineers to pre-process and clean data for model training and validation.
• Evaluate and select appropriate tools, technologies, and frameworks for machine learning development in an Azure environment.

KEY QUALIFICATIONS

• Minimum of 2 years of real-time experience as a Machine Learning Engineer.
• Solid understanding of machine learning algorithms, including supervised and unsupervised learning techniques.
• Proficient in programming languages such as Python, with experience in libraries like OpenCV, TensorFlow, PyTorch, or Scikit-learn.
• Hands-on experience with Azure Machine Learning services and tools.
• Strong knowledge of cloud platforms, particularly Azure, and experience in deploying machine learning models to cloud environments.
• Familiarity with best practices in model evaluation, validation, and monitoring in production environments.
• Experience with data pre-processing, feature engineering, and working with large datasets.
• Excellent problem-solving skills and a proactive approach to addressing challenges.
• Good to have: Familiarity with Business Intelligence (BI) technologies such as Power BI, SSIS, etc.

QUALIFICATIONS

• To perform this job successfully, an individual must meet expectations of each essential duty. The requirements listed below are representative of the knowledge, skills and abilities required.

EDUCATION:

• Bachelor’s or master’s degree in computer science, Machine Learning, Data Science, or related field.

EXPERIENCE:

• 5 Years IT with 2 years ML