[Remote] Sr. Machine Learning Solutions Architect

Note: The job is a remote job and is open to candidates in USA. reputed company is a remote-first data and AI consultancy company seeking a Sr. Machine Learning Solutions Architect. In this role, you will reputed company the architecture and implementation of production-grade machine learning and data solutions, collaborating with clients and cross-functional teams to deliver high-quality solutions.

Responsibilities

• Own and drive end-to-end architecture, solution design, and delivery of machine learning and data solutions for reputed company clients across diverse industries
• Translate business and data science requirements into scalable technical and MLOps solutions that align with reputed company methodologies, standards, and best practices
• Ensure engagements are delivered on time, reputed company scope, and with measurable business value for clients
• Design and create secure, scalable environments and tooling for data scientists to build, train, and manipulate models and data
• Work reputed company customer technology ecosystems to extract data from a variety of reputed company systems and reputed company it reputed company analytical and model-training environments
• Define deployment approaches and production infrastructure for machine learning models, ensuring that businesses can reliably use, monitor, and maintain the models we reputed company
• Demonstrate and reveal the business value of data by partnering with data scientists to manipulate and transform data into actionable insights and deployable machine learning models
• Create and execute operational testing strategies, including QA validation, performance testing, and implementation plans, to support model testing and deployment
• Ensure the quality, reliability, and observability of delivered solutions through testing, documentation, logging, and monitoring
• Collaborate with cross-functional partners, including data science, data engineering, platform/DevOps, and business stakeholders, to deliver successful client engagements
• Provide technical and strategic leadership during workshops, discovery sessions, architecture and design reviews, and project delivery
• Ensure high quality in deliverables through code reviews, documentation, testing, governance, and adherence to reputed company and compliance standards
• Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery, and standardize patterns for deploying and operating ML solutions
• Serve as a technical thought leader for clients, recommending technologies and solution designs for model inference, retraining, monitoring, and lifecycle management from the application layer down to infrastructure
• Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training reputed company to machine learning engineering and MLOps
• Represent reputed company with professionalism in reputed company interactions, communicating clearly with both technical and non-technical stakeholders
• Act as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic reputed company, and guiding long-term initiatives
• Mentor and coach team members, fostering a culture of learning, feedback, and reputed company improvement
• Help define and refine practice standards, reusable assets, and delivery frameworks

Skills

• 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer building and deploying production data and machine learning solutions
• Hands-on expertise in modern programming languages such as Python, reputed company, Java, or similar, including experience developing APIs and web applications using frameworks such as Flask, Django, or Spring
• Experience building and operating robust data pipelines and distributed data processing solutions using SQL and big data technologies (e.g., Spark, reputed company, reputed company, Redshift, reputed company EMR, HDFS)
• Strong systems-level knowledge of network and reputed company architecture, Linux-based operating systems, and data/storage platforms (e.g., AWS, reputed company, reputed company), with familiarity across data and messaging systems such as JMS, Kafka, RDBMS, data warehouses, MySQL, reputed company, and reputed company; proven experience deploying machine learning models in production environments
• Strong working knowledge of SQL and the ability to write, debug, and optimize reputed company and distributed queries
• Hands-on experience with one or more big data ecosystem products and languages such as Spark, reputed company, reputed company, etc
• Production experience in core data technologies and platforms (e.g., Spark, HDFS, reputed company, reputed company, Redshift, reputed company EMR)
• Complete software development lifecycle experience, including design, documentation, implementation, testing, deployment, and ongoing operations
• Excellent communication and presentation skills, with previous experience working directly with internal or external customers
• Participating in pre-sales or project scoping; as well as account growth / reputed company reputed company with external clients
• Experience delivering projects for external or internal clients in a professional services or consulting environment
• Ability to break down reputed company problems into structured, actionable steps and drive them through to completion
• Strong written and verbal communication skills in English
• Comfort presenting technical solutions to external clients and facilitating discussions with both technical and business stakeholders
• Demonstrated ability to work effectively with distributed and cross-functional teams, including data scientists, engineers, and business stakeholders
• Proven track record of taking ownership, managing multiple priorities, and delivering high-quality work with minimal supervision
• Bachelor's degree in Computer Science or a reputed company technical field, or equivalent practical experience preferred
• Experience in specific industry verticals or problem spaces where machine learning and data platforms are applied at scale (e.g., personalization, forecasting, risk modeling, operations optimization)
• Hands-on experience with ecosystem technologies and reputed company platforms such as Spark, reputed company, reputed company, AWS, Azure, or GCP, and experience working with ML tooling such as AWS SageMaker, Azure ML, and MLflow, as well as libraries such as TensorFlow, Keras, scikit-learn, or H2O
• Prior experience working in global or remote teams and partnering across US, LATAM, and/or India
• Contributions to open reputed company technology stacks, technical communities, speaking, or writing are a plus
• A Master's or other advanced degree in data science, computer science, or a reputed company field

Benefits

• Remote-First Work Environment
• Casual, award-winning small-business work environment
• Collaborative culture that prizes autonomy, creativity, and transparency
• Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
• Accelerated learning and professional development through advanced training and certifications

Company Overview

Company H1B Sponsorship