Azure ML Engineer

Job#: 2020424

Job Description:
Azure Machine Learning Engineer
Position Summary

We are seeking a highly skilled and experienced Sr. Machine Learning Engineer to join our dynamic Data Science and AI team. In this role, you will be instrumental in transforming data into actionable insights and innovative solutions, driving forward our business strategy. You will leverage advanced machine learning, statistical techniques, and analytical prowess to solve complex business challenges, collaborating closely with cross-functional teams to design, develop, and deploy scalable AI-driven models and algorithms.Key Responsibilities

• Engage in the ideation and prototyping of new solutions to meet emerging business requirements.
• Design, develop, and implement end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
• Utilize advanced machine learning techniques (e.g., deep learning, NLP, computer vision, reinforcement learning) to create innovative solutions.
• Collaborate with data architects, data engineers, and software developers to ensure effective data collection, processing, and storage.
• Perform exploratory data analysis to identify patterns, insights, and communicate findings.
• Optimize model performance, addressing issues such as overfitting, underfitting, and bias.
• Stay abreast of the latest in machine learning research, applying new methods to enhance model performance.
• Contribute to the creation and improvement of reusable machine learning libraries, tools, and frameworks.

Desired Skills and Experience

Required Skills:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field, with 5 years of relevant experience.
• Expertise in Python and proficiency in ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Deep understanding of ML algorithms (supervised, unsupervised learning, and deep learning) and their applications.
• Strong problem-solving, critical thinking, and analytical capabilities.

Technical Proficiency:

• Proficiency in cloud platforms such as Azure Synapse Analytics, Azure Machine Learning, AWS, and Google Cloud Platform for deploying big data and ML solutions.
• Applied knowledge in specialized areas such as NLP, computer vision, reinforcement learning, and Generative AI, including Large Language Models.
• Experience with both relational and non-relational databases, time-series data, graph databases, and knowledge representation techniques.
• Experience or familiarity with data network visualization techniques to analyze complex data relationships and patterns.
• Fluency in advanced analytics tools, demonstrating a robust ability to perform complex quantitative analysis.

Preferred Experiences:

• Demonstrated ability in data cleansing, preparation, featurization, and employing Agile development methodologies.
• A track record of innovation and collaboration in developing data-driven solutions and insights.

Communication and Collaboration:

• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders clearly and effectively.
• A strong team player mindset, capable of working collaboratively within diverse teams and contributing to an inclusive work environment.

Continuous Learning:

• A pronounced passion for continuous learning and staying ahead of the curve in AI and ML fields, with enthusiasm for applying new technologies to solve real-world problems.

Why Join Us:

Join our cutting-edge Data Science & AI team and contribute to the future of AI/ML technology! In this role, youll leverage Azure to drive innovation and operational excellence in our AI/ML initiatives.
Heres what you can expect:

• Be at the forefront of AI/ML advancements, applying your skills to solve real-world problems.
• Collaborate with a talented team of Data Scientists, ML Engineers, and cloud experts.
• Work in a fast-paced environment that fosters continuous learning and growth.
• Make a significant impact on the companys success through the power of AI/ML.

if interested please send your resumes to

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.