Current jobs related to Director - Machine Learning - Houston TX United States - Slalom Consulting


  • Dallas, TX, United States Cornerstone TTS Full time

    Job Description We are looking for a talented Machine Learning Engineer to design, develop, and deploy machine learning models that drive innovation and deliver measurable results. The ideal candidate will have a strong foundation in machine learning algorithms, software engineering, and data analysis, with a passion for solving real-world challenges. Key...


  • Houston, Texas, United States Searce Inc Full time

    Searce Inc is a cutting-edge technology company that specializes in developing innovative AI-powered solutions. We are currently seeking a skilled MACHINE LEARNING ENGINEER to join our team.In this role, you will be responsible for designing and developing advanced machine learning models that can help us achieve our business objectives. You will work...


  • Houston, United States Trading Firm Full time

    The ML Platform is a critical component in increasing revenue at our firm. The role willrequire everything from high-level architecture design to performant implementation.Responsibilities include:• Build distributed systems supporting complex modeling over time series data• Lead design, development, and deployment of machine learning systems•...


  • Houston, United States Trading Firm Full time

    The ML Platform is a critical component in increasing revenue at our firm. The role willrequire everything from high-level architecture design to performant implementation.Responsibilities include:• Build distributed systems supporting complex modeling over time series data• Lead design, development, and deployment of machine learning systems•...


  • Houston, United States Trading Firm Full time

    The ML Platform is a critical component in increasing revenue at our firm. The role willrequire everything from high-level architecture design to performant implementation.Responsibilities include:• Build distributed systems supporting complex modeling over time series data• Lead design, development, and deployment of machine learning systems•...


  • Dallas, TX, United States Harnham Full time

    INFOSenior Machine Learning EngineerDallas-Fort Worth (DFW) Area / Remote (East or Central Time Zones)$175,000 - $200,000 + Bonus Company: The company builds advertising marketplaces that allow publishers to monetize their inventory while helping advertisers achieve their performance goals, with a focus on enhancing the customer experience.They are seeking a...


  • Houston, Texas, United States Trading Firm Full time

    The Trading Firm's Machine Learning Platform plays a crucial role in driving revenue growth. As Machine Learning Engineer, you will design and implement high-performance machine learning systems that cater to complex time series data.This demanding role involves:Designing distributed systems for large-scale modeling over time series dataLeading the...


  • Houston, United States Searce Inc Full time

    As an Machine Learning Intern, you will help develop and enhance the algorithms and technology that powers our unique system. This role covers a wide range of challenges, from developing new models using pre-existing components to enable current systems to be more intelligent.Roles and Responsibilites:Understanding business objectives and developing models...


  • Houston, Texas, United States Understanding Recruitment Full time

    MLOps Engineer Job OpportunityAre you passionate about building innovative machine learning solutions?We are seeking an experienced MLOps Engineer to join our team at Understanding Recruitment.In this role, you will be responsible for designing, developing and deploying large-scale machine learning systems.Key responsibilities include:Designing and...


  • Houston, Texas, United States Attis Full time

    AI Engineer Role">We are seeking an experienced AI engineer to join our team at Attis. The ideal candidate will have a strong background in machine learning, with experience in developing and deploying models using graph neural networks or reinforcement learning.">Responsibilities:">Develop and deploy machine learning models, with a focus on graph neural...


  • Houston, United States Attis Full time

    AI Engineer - Graph Neural Networks (GNN) or Reinforcement Learning (RL)Hybrid in Houston, TX$150k-$180k annually, plus options package*Industry regulations mean you must be a US Citizen, or Permanent US Resident to be eligible*AI Engineer required for a rapidly growing tech start-up, with a strong commercial background in either Graph Neural Networks (GNN)...


  • Houston, United States Attis Full time

    AI Engineer - Graph Neural Networks (GNN) or Reinforcement Learning (RL)Hybrid in Houston, TX$150k-$180k annually, plus options package*Industry regulations mean you must be a US Citizen, or Permanent US Resident to be eligible*AI Engineer required for a rapidly growing tech start-up, with a strong commercial background in either Graph Neural Networks (GNN)...


  • Houston, United States Attis Full time

    AI Engineer - Graph Neural Networks (GNN) or Reinforcement Learning (RL)Hybrid in Houston, TX$150k-$180k annually, plus options package*Industry regulations mean you must be a US Citizen, or Permanent US Resident to be eligible*AI Engineer required for a rapidly growing tech start-up, with a strong commercial background in either Graph Neural Networks (GNN)...


  • Houston, Texas, United States HCC Full time

    About the JobWe are seeking a highly qualified and experienced instructor to teach artificial intelligence and related courses at Houston Community College (HCC). As an integral part of our instructional faculty, you will play a critical role in shaping the educational experience of our students.Job Summary- Teach courses in artificial intelligence and...


  • Austin, TX, United States GQR Global Markets Full time

    Job Title: Machine Learning Performance EngineerLocation: Austin, Texas or New York, New YorkJob Description: We are seeking a Machine Learning Performance Engineer to join our team, focusing on a pivotal AI initiative. This role offers the opportunity to significantly impact Machine Learning infrastructure, training, and inference challenges to advance...


  • Denver, CO, United States Slalom Consulting Full time

    Who You'll Work WithAt Slalom Build we co-create modern technology and software products with clients who are ready to accelerate their digital transformation. We choose to imagine things made better, and then set out on a journey to realize what's possible. By blending design, product engineering, analytics, and automation, we build the custom-built...


  • Atlanta, GA, United States Slalom Consulting Full time

    Who You'll Work WithAt Slalom Build we co-create modern technology and software products with clients who are ready to accelerate their digital transformation. We choose to imagine things made better, and then set out on a journey to realize what's possible. By blending design, product engineering, analytics, and automation, we build the custom-built...


  • United States Cherokee Federal Full time

    Machine Learning Engineer The Machine Learning (ML) Engineer supports the Department of Labor. This 100% remote role collaborates with the Office of the Chief Information Officer to drive innovative Artificial Intelligence (AI) and Machine Learning (ML) solutions. You'll work closely with technical leads to develop, deploy, and optimize ML models while...


  • Houston, United States MD Anderson Center Full time

    MD Anderson is expanding our Enterprise MLOps and Analytics Platform capabilities to enhance support for MLOps and ModelOps, facilitating the operationalization, monitoring, and management of in-house and third-party AI solutions. This expansion is integral to strengthening our overall AI Governance framework. We are actively seeking a Principal MLOps...


  • Houston, Texas, United States Acceler8 Talent Full time

    Data Science Opportunities">We're partnering with a leading organization to build a new data science team, offering unparalleled ownership and growth opportunities for experienced Data Scientists.">Responsibilities">Lead high-impact projects, designing and implementing advanced machine learning algorithms and analytics solutions.Collaborate closely with...

Director - Machine Learning

2 weeks ago


Houston TX United States Slalom Consulting Full time
Who You'll Work With

At Slalom Build we co-create modern technology and software products with clients who are ready to accelerate their digital transformation. We choose to imagine things made better, and then set out on a journey to realize what's possible. By blending design, product engineering, analytics, and automation, we build the custom-built software and data products of tomorrow. Slalom Build is looking for an entrepreneurial, progressive leader to grow and ensure the success of our Machine Learning practice in North America. The Machine Learning practice designs and delivers innovative Machine Learning solutions as part of intelligent products on Amazon Web Services, Azure and Google Cloud using core cloud data science tools, MLOps components, and other big data related technologies. As a Director, you will ultimately be accountable for the overall quality and execution of projects across Machine Learning.

We offer a flexible working environment to balance the need to work independently, with some days that may require in-person collaboration at our office.

What You'll Do
  • You will be accountable for the growth of the practice, including driving sales, recruiting, account management, consulting, and all operational aspects.
    • Practice Building - Drive growth of the Machine Learning practice by participating in business development, oversight of delivery work, and thought leadership. Assemble best practices and develop case studies and other core deliverables to grow solution offerings.
    • Business Development - Relationship building with executive-level, client stakeholders and expand Slalom's client portfolio. Guide business development activities, partnering with Slalom leadership to pursue new and existing client relationships.
    • Team & Individual Development - Lead by example to build a team of leaders and engineers and create a passionate, team-player environment. Provide technical thought leadership in the Machine Learning space. Support recruiting, on-boarding of new employees, and the development of leaders.
    • Engagement Management - Handle engagement risk, project economics including planning and budgeting, carefully defining deliverable content, and ensuring consensus of proposed solutions from top management levels at the client.
  • Cultivate a sense of community and encourage a culture of collaboration and curiosity by taking part in and coordinating opportunities, such as presenting at technical conferences, community groups, writing blog articles, and contributing to partner-coordinated workshops
  • Build trust in Slalom's brand as an AI and Machine Learning market leader, highlighting industry and technical expertise, client success stories, and unique offerings in the market
  • Advance the craft by developing and sharing Machine Learning thought leadership and vision, internally and to clients.
  • Recommend and implement architecture to deploy machine leaning pipelines and CI/CD processes at scale for some of our most challenging engagements
  • Stay abreast of new tools, packages, and Machine Learning techniques, while consistently pushing the limit of what is possible to deliver the best solutions for clients
  • Collaborate with Product Owners to apply Slalom's Agile processes and be responsible for the initiation, delivery, and transition of projects for your team in a client-facing role
  • Support pre-sales conversations with client's most technical Machine Learning staff
  • Collaborate with a variety of stakeholders across the Slalom organization and our clients to discuss their project needs
  • Support pre-sales conversations with client's most technical Machine Learning staff
  • Ensure the delivery of successful outcomes for staffed teams
  • Staff, lead, and mentor machine learning practitioners and engineers
  • Share learnings and project findings with the wider Slalom Machine Learning Community
  • Be a trusted partner to clients and uphold Slalom's values
  • Willingness to travel up to 50%, at peak times

What You'll Bring
  • Expert in cloud-based engineering, Artificial Intelligence, Machine Learning, and Agile delivery
  • Deep experience with leading people, including technical and professional mentorship for ML Engineers and Architects
  • Demonstrated professional growth and the proven ability to work cross-functionally
  • Shown history of leveraging and growing existing client base; organic business development responsibilities, i.e. growing new account/clients from the ground up
  • Ability to shape and lead a product delivery team from architecture to inception
  • Excellent verbal and written communication skills to audiences of all levels including client facing skills

Must be able to speak articulately, support teams and communicate with clients on the following topics:
  • Experience acting as a project manager and leading technical project delivery teams
  • Experience with implementing ML solutions with two, or more, cloud frameworks (e.g., AWS Sagemaker, Azure ML Studio, Google Cloud Vertex AI)
  • Experience implementing machine learning models in production
  • Experience developing models and other data science work utilizing Python
  • Familiarity, or strong desire to work with and gain an understanding of Generative AI, such as working with foundation models (GPT-3/4, Gemini, Mixtral, Llama, etc.)
  • Experience with building computer vision models - Preferred
  • Ability to lead exploratory data analysis within new subject matters or new data structures
  • Familiarity with Agile project delivery (Scrum, Kanban, SAFe, XP, and Lean)
  • Experience with designing and engineering MLOps pipelines or CI/CD implementations
  • Two or more of the following other languages: Python, SQL, Java, C#, R, JavaScript, Go, Spark

About Us

Slalom Build is a highly scalable, high-velocity Build as a Service firm. We work with clients in a flexible, collaborative, and repeatable methodology to create custom technology solutions for their most impactful initiatives and to accelerate their digital transformation journey. Over 1500 Builders strong, distributed across eleven dynamic cities, our innovation hubs attract the type of people who contribute to thriving teams. By placing builders in close proximity to clients - as well as their cultural and technology cohorts - we can assure the quality, versatility, and speed that product delivery demands, along with the elasticity and scale to tailor to individual client needs.

Slalom Build leverages a foundation of innovation inherited from Slalom, a Seattle-based firm that set out in 2001 to disrupt and redefine management consulting. Now 13,000+ professionals strong around the globe, Slalom is deeply engaged with some of the world's most influential, change-making enterprises. Learn more at slalombuild.com

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. 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.

EEO and Accommodations

Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. 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 if you require accommodations during the interview process.RequiredPreferredJob Industries
  • Other