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AI Engineering
Senior Consultant – Machine Learning / AI Engineer Undefined
Why Spur Reply:
What You’ll Do
At Spur Reply, our mission is to turn every interaction our clients have into a go-to-market advantage. We are a consultancy whose objective is to drive results that matter. As the leading authority on go-to-market solutions, we act as an extension of our client teams, providing the support, tools, and strategies to achieve important outcomes. If you tackle challenges with unmatched persistence and believe learning is critical to ongoing growth, we want you on our team.
Moreover, we focus on delighting our clients and creating the absolute best workplace for every person in the firm. We are a group of passionate, smart, and experienced consultants who strive to be their best selves every day and focus on driving value for our clients. Our size allows us to be large enough to scale but small enough to create a personalized journey and offer meaningful support as our consultants grow. The firm’s culture, which is built on teaming and teaching, empowers our professionals to support each other in their career development.
Our focus on our people is evident in the compelling benefits we offer
- Hybrid with a competitive salary and Total rewards package
- Premium paid by company – 80% Health, 100% Dental, and Vision benefits for you and your family
- Opportunity to participate in 401k with up to 4% company match
- Generous paid vacation
- Optional cell phone monthly plan
- Monthly company lunches, company parties, and fully stocked kitchens
- A world-class community experience with our Employee Resource Groups
Must be located in one of 2 areas (Irvine or Los Angeles) due to being a hybrid role with an expectation of 3 days per week in office.
About the Role & What You’ll Do:
Spur Reply is looking for a Senior Consultant – Machine Learning / AI Engineer to join our Ecosystem Engineering team. As a Machine Learning / AI Engineer, you are well-versed in developing and implementing large language models and have a solid understanding of the intersection between machine learning, software engineering, and product development.
What You’ll Do
- Develop, implement, and maintain scalable and efficient machine learning and AI models, with a focus on large language models
- Collaborate with cross-functional teams to understand requirements and identify opportunities for leveraging company data to drive business solutions
- Be actively involved in the full model development lifecycle, including conception, creation, tuning, testing, and deployment
- Utilize AWS SageMaker for building, tuning, and enhancing machine learning models to ensure optimal performance
- Develop robust test datasets and validation frameworks to ensure the reliability and robustness of models
- Work closely with the ML Ops and software engineering teams to productionize machine learning models and integrate them into company products and services
- Proactively identify areas of improvement and innovation in our product portfolio and work closely with the product team to enhance our offerings
- Maintain a current understanding of industry trends, advancements, and best practices in machine learning and artificial intelligence to drive organizational excellence
What you’d bring to Spur:
- Solid experience with AWS SageMaker or equivalent platforms for building, tuning, and enhancing machine learning models
- Proven experience in productionizing and deploying scalable machine learning models
- Strong programming skills in Python, Java, or another programming language
- Proficient in ML Ops practices and tools to deploy and monitor models in production
- A strong understanding of machine learning algorithms, processes, tools, and platforms
- Demonstrated ability to identify the intersection of ML and software engineering and possessing strong product intuition to contribute to product development
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
- Solid experience with Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG)
What you’ll need (Requirements):
- Bachelor’s degree in Computer Science, Engineering or a related field. Master’s degree or higher is a plus
- 3+ years experience in machine learning and AI, with a focus on implementing large language models
- Proficiency in requirements gathering techniques, process modeling tools, and data analysis
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal abilities
- Familiarity with ML frameworks like TensorFlow or PyTorch. (preferred)
- Experience with Agile development methodologies
- Team player with a collaborative mindset
Additional Information:
Spur Reply (Formerly The Spur Group) is a consulting firm based in Bellevue, WA. In our hybrid working environment, our general working hours are 8 a.m. to 5 p.m. PT, Monday through Friday. While we strive for work/life harmony, client work may extend beyond these hours and may require flexibility in work arrangements.
The base compensation range for this full-time position is between $120,000-$150,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications, and, as applicable, other required qualifications. If you have questions regarding compensation, a Talent Acquisition Partner can provide relevant details during the interview process.
Spur Reply is committed to a diverse and inclusive workplace. Spur Reply is an equal opportunity employer and does not discriminate based on race, origin, gender, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at hr.support.us@reply.com. Visit our website to learn more about our open roles.
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