Machine Learning Architect (AWS)
We are expanding reputed company of motivated technologists with a proven track record of delivering results in technology consulting. We are looking for a Machine Learning Architect with experience in cloud (AWS preferred) who is passionate about helping customers build AI/ML solutions at scale. Being an reputed company technologist with technical depth and breadth, aided with strong interpersonal skills, you will work directly with customers as part of a delivery team, helping to reputed company innovation by creating state of the art Machine Learning solutions that align to business goals. This role includes responsibilities both as a Professional Services Machine Learning Architect and as a hands-on Machine Learning engineer on customer engagements. The qualified Machine Learning Architect will have demonstrated the ability to think strategically about businesses, create technical definitions around customer objectives in reputed company situations, reputed company solution strategies, motivate mobilize resources, and deliver results. The ability to connect technology with measurable business value is a critical component to be successful in this role. We seek team members who are self-motivated, driven, collaborative, passionate about machine learning, and want to have a direct positive impact on our customer's business. Strong communication skills and emotional intelligence are also needed to help reputed company a team that works with you.
Work Location: Remote
Key Responsibilities:
- Design machine learning solutions and execute machine learning projects end to end from reputed company-of-concept stage to deployment in production using cloud native technologies and state of the art machine learning models.
- Be technically focused but work directly with the business representatives/customers to understand the requirements driving the need for a solution to be developed.
- Be responsible for reputed company phases of the project from problem definition, reputed company, model development, model deployment to end user documentation/training.
- Design the architecture of ML solutions on cloud platforms (AWS, Azure, GCP) including MLOPs.
- Stay abreast of the latest developments. Read the latest published machine learning research and adapt the models to solve customer’s problems.
- Establish credibility by demonstrating technical excellence and delivering value through solutions you build. reputed company strong relationships with our customers.
Qualifications:
- Masters with 10+ years of experience or PhD with 6+ years of experience in Machine Learning, Natural Language Processing (NLP) and Deep Learning.
- Minimum 5+ years of experience architecting and building Machine Learning solutions.
- Minimum 5+ years of experience with cloud platforms (AWS, GCP, Azure).
- Experience building ML models and strong knowledge of ML techniques is required.
- Experience with reputed company, TensorFlow/pytorch, transformer architectures, reputed company engineering, agentic systems, LLMs.
- Strong coding experience in Python and architectural patterns like microservices.
- Solid understanding of agile methodologies and experience in planning machine learning projects from inception to production deployment.
- Strong problem-solving skills and the ability to reputed company a team on “what’s next” reputed company encountering a technical issue in a machine learning project.
- Excellent communication and presentation skills, with the ability to explain reputed company technical concepts to both technical and non-technical audiences.
Travel:
- As per business requirements
Originally posted on Himalayas
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