Job description

AI/ML Engineer **** Please note:  This role is  not eligible   for 100% remote work. Employees must live within a commutable distance of a Slalom Office and must be willing to be onsite at the client and/or Slalom office when needed up to 3 days a week. **** Who You’ll Work With As a modern technology company, our Slalom Technologists are disrupting the market and bringing to life the art of the possible for our clients. We have passion for building strategies, solutions, and creative products to help our clients solve their most complex and interesting business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. Slalom's Data & AI capability focuses on next-level AI and Machine Learning solutions for clients. You'll join a diverse team of engineers, data scientists, and AI thought leaders. We work across modern AI platforms, develop novel AI solutions, and work with our technology partners to push their products into the future. What You’ll Do • Design, build, and deploy generative AI and machine learning solutions that solve business problems and improve how people work • Develop LLM-powered applications using RAG, agents, prompt engineering, tool and function calling, workflow automation, and fine-tuning where appropriate. • Apply Machine Learning, Deep Learning, and other relevant technologies to assist in building AI tools that solve real business problems. • Assist in the design, development, presentation, and delivery of traditional ML solutions in areas such as Computer Vision, NLP, Recommendation Systems, etc. • Stay updated on fundamental AI/ML concepts and emerging trends to contribute to solution discussions and development. • Contribute to the growth of the AI/ML community within the organization through learning, mentoring, and sharing knowledge. What You’ll Bring • 3+ years of experience implementing models or machine learning algorithms into production. • 2-4 years of professional Managed or IT Professional consulting experience. • Strong consultative and communication skills, and the ability to convey complex technical concepts to diverse stakeholders. • Solid technical foundation, combined with constant curiosity to stay on the creative edge of ML/AI solutions. • Technical and conversational fluency in AI, GenAI, Machine Learning and at least one of the major clouds (AWS, GCP, Azure) • Hands-on experience building generative AI solutions using LLMs, embeddings, vector search, RAG, agents, prompt engineering, fine-tuning or model adaptation, or similar techniques. • Experience with AI validation, evaluation, observability, and production quality metrics such as accuracy, groundedness, safety, latency, cost, and drift. • Experience deploying ML/AI into production, and ability to talk through best practices and pitfalls. • Understanding of validation frameworks for AI and ML tools, with knowledge of the production-ready offerings on the market for AI validation. • Excellent python, especially for ML/AI use cases. • Data Science and/or Data Engineering background preferred. • Nice to have: • Experience in a sales support role, within Data Science, Machine Learning, or AI. • Familiarity with leading data platforms like Databricks and Snowflake, and their basic services. • Experience implementing MLOps best practices and ML workflow tools, and the ability to translate this experience to creative LLMOps solutions. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact. What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges: • Boston, New Jersey, New York City, Washington DC, White Plains: • Consultant: $116,000-$145,000 • Senior Consultant: $145,000-$181,000 • All other locations: • Consultant: $106,000-$133,000 • Senior Consultant: $133,000-$166,000 In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: peopleone@slalom.com . EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team or contact accomodationrequest@slalom.com if you require accommodations during the interview process. Locations: Atlanta, GA; Boston, MA; Charlotte, NC; Hartford, CT; Miami, FL; New Brunswick, NJ; New York, NY; Philadelphia, PA; Raleigh, NC; Washington, DC; White Plains, NY

Requirements

Must-haves

AI/ML Engineer
Who You’ll Work With
What You’ll Do
Design, build, and deploy generative AI and machine learning solutions that solve business problems and improve how people work
Develop LLM-powered applications using RAG, agents, prompt engineering, tool and function calling, workflow automation, and fine-tuning where appropriate.
Apply Machine Learning, Deep Learning, and other relevant technologies to assist in building AI tools that solve real business problems.
Assist in the design, development, presentation, and delivery of traditional ML solutions in areas such as Computer Vision, NLP, Recommendation Systems, etc.
Stay updated on fundamental AI/ML concepts and emerging trends to contribute to solution discussions and development.
Contribute to the growth of the AI/ML community within the organization through learning, mentoring, and sharing knowledge.
What You’ll Bring
3+ years of experience implementing models or machine learning algorithms into production.
2-4 years of professional Managed or IT Professional consulting experience.
Strong consultative and communication skills, and the ability to convey complex technical concepts to diverse stakeholders.
Solid technical foundation, combined with constant curiosity to stay on the creative edge of ML/AI solutions.
Technical and conversational fluency in AI, GenAI, Machine Learning and at least one of the major clouds (AWS, GCP, Azure)
Hands-on experience building generative AI solutions using LLMs, embeddings, vector search, RAG, agents, prompt engineering, fine-tuning or model adaptation, or similar techniques.
Experience with AI validation, evaluation, observability, and production quality metrics such as accuracy, groundedness, safety, latency, cost, and drift.
Experience deploying ML/AI into production, and ability to talk through best practices and pitfalls.
Understanding of validation frameworks for AI and ML tools, with knowledge of the production-ready offerings on the market for AI validation.
Excellent python, especially for ML/AI use cases.
Familiarity with leading data platforms like Databricks and Snowflake, and their basic services.
Experience implementing MLOps best practices and ML workflow tools, and the ability to translate this experience to creative LLMOps solutions.

Nice-to-haves

Data Science and/or Data Engineering background preferred.
Nice to have: • Experience in a sales support role, within Data Science, Machine Learning, or AI.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningllmawsgcpazurepythonagile

Platform: slalom
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave