may vary by Aramark location based on client requirements and business needs. Note: This client location requires all individuals working on site to be fully vaccinated against COVID-19. Location: Methodist Charlton Medical Center in Dallas, TX. Job Responsibilities • Ensure guest satisfaction by maintaining all dishes, pots, pans, silverware, glasses, equipment, and kitchen utensils are cleaned and sanitized • Maintains dishwashing station, three compartment sink and related areas cleaned • Ensures equipment is clean and in working condition; reports any issues to management • Performs other light maintenance and custodial tasks • Maintains excellent customer service and positive attitude towards
guest, customers, clients, co-workers, etc.
• Adheres to Aramark safety policies and procedures including proper food safety and sanitation • Ensures security of company assets At Aramark, developing new skills and doing what it takes to get the job done make a positive impact for our employees and for our customers.
In order to meet our commitments, job duties may change or new ones may be assigned without formal notice. Qualifications • Demonstrates an understanding of basic sanitation procedures • Must be able to follow basic safety procedures due to exposure to hazardous chemicals • Must be available to work flexible hours including evenings and weekends This role may have
physical demands including, but not limited to, lifting, bending, pushing, pulling and/or extended walking and standing.
This role may also require uniforms and/or usage of Personal Protective Equipment (PPE). About Aramark Our Mission Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet. At Aramark, we believe that every employee should enjoy equal employment opportunity and be free to participate in all aspects of the company. We do not discriminate on the basis of race, color, religion, national origin, age, interaction, gender, pregnancy, disability, interactionual orientation, gender identity, genetic information, military status, protected veteran status or other characteristics protected by applicable law.
About Aramark The people of Aramark proudly serve millions of guests every day through food, facilities, and uniform services in 19 countries around the world. Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet. We believe a career should develop your talents, fuel your passions, and empower your professional growth. So, no matter what you're pursuing - a new challenge, a sense of belonging, or just a great place to work - our focus is helping you reach your full potential.
Learn more about working here at http: // or connect with us on Facebook , Instagram and Twitter.
hiring across the stack: front-end web and mobile, full-stack, and backend engineering. We're using the best available technologies to deliver modern, engaging, reliable, and scalable experiences to meet the needs of our growing audience. Our digital solutions are growing in popularity and adoption--like Curbside and Home Delivery--so you'll get the opportunity to define the user experience for millions of customers and hundreds of thousands of Partners.
If you're someone who enjoys taking on new challenges, working in a rapidly changing environment, learning new skills, and applying it all to solve large and impactful business problems, we want you as part of our team. We are seeking
an experienced and dynamic individual to lead our MLOps team as a MLOps Team Manager. The ideal candidate will have 3-5 years of hands-on experience managing MLOps teams, possessing a strong background in Data Science or AI teams with exposure to MLOps practices.
This position offers a unique opportunity to contribute to our innovative approach in Site Reliability Engineering for Machine Learning while collaborating closely with Data Scientists and their leadership. Our Partners thrive The H-E-B Way. As a Senior Manager, of Data Solutions, Machine Learning Operations, you have a.HEART FOR PEOPLE. you have a passion for mentorship and guidance, and love for the direct person-to-person
interactions that create strong bonds between teams HEAD FOR BUSINESS.
you have an ownership mentality and a consistent track record of timely delivery of high-quality software PASSION FOR RESULTS. the ability to guide the discussion, remove roadblocks, and provide guardrails for your team as they identify challenges and propose solutions What You'll Do Lead and manage the MLOps team, fostering a collaborative and high-performance culture. Collaborate with Data Scientists and their leadership as key stakeholders/customers, providing support and aligning technical strategies with business goals. Drive the implementation and optimization of MLOps practices to ensure seamless integration of machine learning models into production environments.
Oversee the end-to-end ML lifecycle, including data preprocessing, feature engineering, model training, validation, and deployment. Utilize your expertise in ML concepts (supervised, unsupervised, semi-supervised, and reinforcement learning) to guide the team's decisions and strategies. Ensure the team's cloud expertise by leveraging 3-5 years of experience with AWS (preferred), Azure, and/or Google Cloud Platform (GCP). Manage direct reports within the team, fostering their professional growth and development.
Collaborate with cross-functional teams to establish best practices, standards, and continuous improvement processes. Who You Are Bachelor's degree in Computer Science, Data Science, Engineering, or related field (advanced degree preferred). 5-7 years of experience managing MLOps teams, or comparable experience leading Data Science or AI teams with a focus on MLOps. Strong understanding of Site Reliability Engineering (SRE) principles and their application in machine learning contexts. Proficiency in cloud platforms, with hands-on experience in AWS, Azure, and/or GCP. Deep understanding of machine learning concepts including supervised, unsupervised, semi-supervised, and reinforcement learning.
Proven track record of successfully deploying machine learning models into production environments. Strong grasp of the end-to-end ML process including data preprocessing, feature engineering, model training, validation, and deployment. Excellent communication skills with the ability to collaborate effectively across technical and non-technical teams. Experience managing direct reports and fostering their growth. Strong problem-solving skills and ability to adapt to a fast-paced, evolving environment.
DATA3232H-E-B Digital is seeking new team members (Partners)! Since our inception, we've been investing heavily in our customers' digital experience, reinventing how they find inspiration from food, how they make food decisions, and how they ultimately get food into their homes. This is an exciting time to join H-E-B Digital, and we're hiring across the stack: front-end web and mobile, full-stack, and backend engineering. We're using the best available technologies to deliver modern, engaging, reliable, and scalable experiences to meet the needs of our growing audience. Our digital solutions are growing in popularity and adoption--like Curbside and Home Delivery--so you'll get the opportunity to define the user experience for millions of customers and hundreds of thousands of Partners.
If you're someone who enjoys taking on new challenges, working in a rapidly changing environment, learning new skills, and applying it all to solve large and impactful business problems, we want you as part of our team. We are seeking an experienced and dynamic individual to lead our MLOps team as a MLOps Team Manager. The ideal candidate will have 3-5 years of hands-on experience managing MLOps teams, possessing a strong background in Data Science or AI teams with exposure to MLOps practices.
This position offers a unique opportunity to contribute to our innovative approach in Site Reliability Engineering for Machine Learning while collaborating closely with Data Scientists and their leadership. Our Partners thrive The H-E-B Way. As a Senior Manager, of Data Solutions, Machine Learning Operations, you have a. HEART FOR PEOPLE. you have a passion for mentorship and guidance, and love for the direct person-to-person interactions that create strong bonds between teams HEAD FOR BUSINESS.
you have an ownership mentality and a consistent track record of timely delivery of high-quality software PASSION FOR RESULTS. the ability to guide the discussion, remove roadblocks, and provide guardrails for your team as they identify challenges and propose solutions What You'll Do - Lead and manage the MLOps team, fostering a collaborative and high-performance culture. - Collaborate with Data Scientists and their leadership as key stakeholders/customers, providing support and aligning technical strategies with business goals. - Drive the implementation and optimization of MLOps practices to ensure seamless integration of machine learning models into production environments.
- Oversee the end-to-end ML lifecycle, including data preprocessing, feature engineering, model training, validation, and deployment. - Utilize your expertise in ML concepts (supervised, unsupervised, semi-supervised, and reinforcement learning) to guide the team's decisions and strategies. - Ensure the team's cloud expertise by leveraging 3-5 years of experience with AWS (preferred), Azure, and/or Google Cloud Platform (GCP). - Manage direct reports within the team, fostering their professional growth and development.
- Collaborate with cross-functional teams to establish best practices, standards, and continuous improvement processes. Who You Are - Bachelor's degree in Computer Science, Data Science, Engineering, or related field (advanced degree preferred). - 5-7 years of experience managing MLOps teams, or comparable experience leading Data Science or AI teams with a focus on MLOps. - Strong understanding of Site Reliability Engineering (SRE) principles and their application in machine learning contexts. - Proficiency in cloud platforms, with hands-on experience in AWS, Azure, and/or GCP.
- Deep understanding of machine learning concepts including supervised, unsupervised, semi-supervised, and reinforcement learning. - Proven track record of successfully deploying machine learning models into production environments. - Strong grasp of the end-to-end ML process including data preprocessing, feature engineering, model training, validation, and deployment. - Excellent communication skills with the ability to collaborate effectively across technical and non-technical teams. - Experience managing direct reports and fostering their growth. - Strong problem-solving skills and ability to adapt to a fast-paced, evolving environment. DATA3232
Texas location. DUTIES AND RESPONSIBILITIES: Develop new technical ideas from proof-of-concept, to prototype, to production-level beta unit, to finished product. Design training material or manuals as it relates to controls. Responsible for ongoing testing and code development of new products.
Travel to H&C factories to support the manufacturing challenges during initial launch of a new product. Support troubleshooting field issues that occur during a product launch. Travel to customer sites and trade shows. QUALIFICATIONS: Bachelor's degree in Electrical Engineering or equivalent field experience 5-10 years of experience programming PCL systems from scratch Knowledge of the workings
of system controls panels Experience in a continuous process environment Experience creating method statements and risk backssments. Food Industry experience a plus Able to travel domestically/internationally 20%.
Experience using Auto CAD and familiar with reading a drawing. Proficient with Word, Excel, and Power Point. Experience with SAP a plus. Benefits: 401K Employee Events Life Insurance Long Term Disability Maternity/Paternity Paid Leave Medical, Dental and Vision Paid Holidays Paid sick days Parking Vacation/paid time off Who We Are We are process and product technologists committed to advancing food, medical, and other industries with science and imagination. Whether you measure
success by flavor, efficiencies, improvement, or innovation, count on us to deliver results.
Founded in 1950 by five engineers that saw an opportunity to modernize processing equipment, Heat and Control has consistently pursued our founders' original passion for helping customers improve their products ever since and has been a leader in science, technology, and service from the start. Our organizational knowledge and experience allow us to approach a strategic solution most efficiently, and the level of our commitment to service and partnership is unmatched. Mission and Values Rising to the challenge, advancing processes, and helping to bring the best products to the world using science, technology, and creative thinking.
If you're interested in joining a growing industry leader, click apply now to learn more. PDN-9ac7a7fb-73f3-46a3-8e50-71686xyzxyz
