Sr. Machine Learning Solutions Architect

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Job Overview

This position is for a Senior Machine Learning Solutions Architect at phData, a leading player in leveraging the modern data stack. PhData specializes in empowering global enterprises by addressing complex data challenges through innovative solutions. The organization partners with well-known cloud platforms like Snowflake, AWS, Azure, and more, offering a collaborative and growth-oriented work environment that embraces a remote-first policy.

Role and Responsibilities

As a Machine Learning Solutions Architect, the key responsibilities include delivering end-to-end architecture and solutions for machine learning and data for various enterprise clients. A significant part of the role involves closely working with clients and internal teams, ensuring that solutions align with business objectives while adhering to industry standards and best practices.

Key Responsibilities Include:

• Client Delivery: Taking ownership of the architecture and solution design for client projects, ensuring timely and effective delivery that yields measurable business value. Responsibilities include translating business and data science requirements into technical solutions, designing secure environments for model training, and ensuring the quality through operational testing strategies.

• Collaboration & Leadership: Leveraging cross-functional partnerships to foster successful client engagements while providing technical leadership during workshops and project delivery. The role emphasizes code reviews, documentation, and ensuring high-quality standards in deliverables.

• Practice & Firm Contribution: Participating in initiatives aimed at developing internal resources related to machine learning and operational efficiency. The position requires mentoring team members and influencing strategic decisions with senior stakeholders.

Required Skills and Qualifications

To qualify for this position, candidates should possess a comprehensive set of skills and experience:

Experience and Technical Skills:

• Professional Experience: A minimum of 6+ years in relevant roles such as Machine Learning Engineer or Data Engineer is expected, with hands-on involvement in deploying production-level data and machine learning solutions.

• Programming Proficiency: Proficient in programming languages such as Python, Scala, or Java, alongside experience in developing applications with frameworks like Flask and Django.

  

• Data Engineering Skills: Strong expertise in building data pipelines and handling large-scale data processing, specifically using technologies such as SQL, Spark, Snowflake, and Databricks.

• Cloud Architecture Understanding: Good grasp of cloud architecture, Linux operating systems, and relevant data platforms.

Consulting Skills:

Experience in a professional services environment is required, including pre-sales or project initiation. Effective communication skills are crucial, as this role involves interacting with various stakeholders to deliver customized solutions.

Preferred Qualifications

While not mandatory, several preferred qualifications can enhance a candidate's appeal:

• Experience in industry-specific areas where machine learning applications are implemented effectively, such as personalization or risk modeling.

• Familiarity with ML tools like AWS SageMaker and libraries such as TensorFlow and scikit-learn is advantageous.

• Previous contributions to open-source projects or technical communities can also set a candidate apart.

Work Environment

The role operates in a fully remote setting, allowing collaboration with global teams from the United States, Latin America, and India. PhData promotes a casual work culture while fostering professional growth and learning. Candidates should be prepared to manage multiple priorities and effectively collaborate with diverse team members.

Salary Expectations

While specific salary details are not provided, candidates can expect a competitive compensation package commensurate with their skill level, experience, and location. Generally, roles of this seniority in the data science field are accompanied by attractive salaries and benefits.

Conclusion

The position of Senior Machine Learning Solutions Architect at phData is ideal for those looking to leverage their extensive technical background and consulting skills to drive innovation within the machine learning domain. This challenging and rewarding role promises opportunities for professional growth while working on high-impact projects in a collaborative environment.

This job offer was originally published on jobicy.com