Lead Machine Learning Architect

Company: Harnham
Location: Boston, Massachusetts, United States
Type: Full-time
Posted: 03.SEP.2021
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Lead Machine Learning Architect Salary: $150,000 - $175,000 + 12% bonus Company: Are you interested in helping to lead a digital transforma...


Lead Machine Learning Architect
Salary: $150,000 - $175,000 + 12% bonus

Are you interested in helping to lead a digital transformation and be in charge of the organizational direction? Do you have an interest in working with Energy and Electric services? Here is a chance to work with grid technology and solar power to be of service to the community around you. As a company passionate about optimizing their workflows to customers and internal stakeholders, this is a chance to learn more about the energy industry. They are going through a digital transformation, looking to expand their investments into the IT of their business to have better results and to have data analytics be driving force of the business. Their hope is to help clients make smarter decisions, and increase energy efficiency and grid planning.

Overview of role:
Joining this Data & Analytics Office, they are seeking a Senior Machine Learning Architect to be an integral part of the Digital Transformation. The ideal candidate is expected to have good understanding of machine learning, artificial intelligence and big data analytics solutions and should be able to analyze and optimize machine learning workloads on advanced hardware and software platforms. He/she will be instrumental in architecting highly scalable Machine Learning frameworks as part of our Data & Analytics Platform. You will be working cross-functionally with the Data Scientists, Data Engineers, and business groups and lead the architecture, design and development of Advanced Analytics within our Data Platform. You will use your deep technical experience in working with technologies related to Machine Learning and AI frameworks and use this knowledge to implement best practices. It will be a crucial role to create and implement a well-informed Advanced Analytics strategy. Be able to communicate to technical and non-technical audience and guide more junior team members in creating and execution the developed vision.

Primary Responsibilities

  • Lead the end-to-end architecture of Machine Learning (ML) and Artificial Intelligence (AI) solutions for our data platform.
  • Implement machine learning algorithms into services and pipelines to be consumed at scale.
  • Work with our business stakeholders across the organization to understand their business needs and translate those needs to design solutions using ML/AI.
  • Hands-on in creating architectural prototypes and design implementation to demonstrate your vision in ML/AI solutions and lead the way from concept to realization.
  • Own and drive contemporary best practices in applying and deploying data science at scale.
  • As a trusted leader and hands-on architect, you will share recommendations around best practices, cost trade-offs, security, performance and reliability in bringing ML models to production.
  • Collaborate with Data Scientists, Data Engineers, and Platform developers across the organization in an Agile environment in crafting and implementing your technical vision.
  • Thought Leadership: Evangelize and drive best practices in ML/AI development life cycle, production deployment and governance.
  • Enjoy working in a collaborative team with data scientists, data engineers, architects, Product Owners/Product Managers from other business units and/or customers, to develop high-value solutions for our most complex data-based challenges.
Basic Qualifications
  • Bachelor's in Computer Science or related field.
  • Demonstrate years of programming experience in large scale production systems, in languages such as Python, Java, Scala etc.
  • Proven industry experience in Cloud environments such as Azure/AWS and at least 3+ years of experience in services in these environments related to ML/AI.
  • Many years of experience in architecting and deploying and operating ML/AI models (ML Ops) in production in cloud and edge environments; Experience in designing, deployment and management scalable data pipelines.
  • Experience with a variety of ML and AI techniques (multivariate/logistic regression models, cluster analysis, predictive modeling, neural networks, deep learning, pricing models, decision trees, ensemble methods, etc.).
  • Advanced skillset building models and performing analysis using scripting languages (Python, R, Scala, etc).
  • Advanced knowledge of relational and non-relational databases (SQL, NoSQL)
  • Proficient in large-scale distributed systems (Hadoop, Spark, etc.).
  • Experience with designing and presenting compelling insights using visualization tools (PowerBI, Tableau etc).
  • Experience with wrangling, exploring, transforming, and analyzing datasets of varying size and complexity.
  • Experience working using Agile-based principles and tools.
  • Stay current with AI/ML trends and research; be a thought leader in AI area.
  • Strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level.
  • Excellent written and verbal communication skills and team player attitude.
Additional Requirements
The company reserves the right to determine if this position will be assigned to work on-site, remotely, or a combination of both. Assigned work location may change. In the case of remote work, physical presence in the office/on-site may be required to engage in face-to-face interaction and coordination of work among direct reports and co-workers.

Preferred Qualifications
1. Master's in Computer Science or related field.
2. Microsoft Azure Certifications.

Healthcare package
Bonus structure of 12% up to 200% of base pay dependent on company and individual performance

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