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Associate Director, MLOps (Staff AI / ML Engineer) - Hybrid

Hbap Fa Us1 Oraclecloud Com CX 1 · Waltham, MA, United States · Hybrid · Deleted · $158,000–$180,000 / week · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyHbap Fa Us1 Oraclecloud Com CX 1
TitleAssociate Director, MLOps (Staff AI / ML Engineer) - Hybrid
Normalized title-
Department / teamCorporate Functions
LocationWaltham, MA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$158,000–$180,000 / week
Statusdeleted
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-03-25 / 2026-05-31
Changed / last seen2026-06-18 / 2026-06-16

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Company jobsActive postings from Hbap Fa Us1 Oraclecloud Com CX 1.Open
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City jobsActive postings in Waltham.Open
Department jobsActive postings in Corporate Functions.Open
Work model jobsActive Hybrid postings.Open
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Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyHbap Fa Us1 Oraclecloud Com CX 1
Sourcec9a1af55-d1aa-41d7-bb8e-0bf8dc082d85
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description Position Summary As an Associate Director, MLOps (Staff AI / ML Engineer) - Indigo AI Innovation Lab, you will play a pivotal role in the advancement of machine learning and AI capabilities across the Alkermes enterprise. You will work closely with our business and technical stakeholders to develop and scale generative AI and ML products and solutions within Alkermes. Your role will involve driving innovation in generative models, designing scalable AI/ML solutions, and collaborating with diverse teams. By architecting and delivering AI and ML products across the enterprise, you will ensure Alkermes' investments in these technologies translate into versatile capabilities for various business needs. Additionally, you will work with internal technical leadership to support Alkermes' AI strategy and technical investments, while contributing to best practices in software engineering and product management. You will support the strategic direction of the AI Innovation Lab and Alkermes’ enterprise data science strategy, and contribute to the development of best practices, standards, and frameworks for data science within the organization. This position will work a hybrid weekly schedule in our Waltham office. Responsibilities Essential Areas of Responsibility Work with cross-functional teams to architect and implement AI products that are scalable, performant, secure, and manage technical debt Demonstrate ownership of the technical delivery of product end to end, from collecting business requirements to architecting, implementing, and testing a solution Develop and maintain AI and ML platforms to expedite the development of ML/AI products and solutions, ensuring that they meet both current and future business needs, support large-scale data and model training, and maintain performance Work closely with product managers, PMs, Researchers, Data Scientists, development teams, and stakeholders to align end to end technical solutions with product and business objectives Research state-of-the art AI solutions and approaches to address a wide variety of use cases and platform needs Integrate solutions across a robust enterprise infrastructure stack including Docker, Snowflake, AWS, IaS, and JFrog Provide guidance and mentorship to development teams, improving overall team capability with respect to software engineering, data engineering, and generative AI application development Contribute to a culture of belonging, respect, team-focus, individual ownership, and performance within innovation lab Qualifications Basic Qualifications: Minimum Education & Experience Requirements: MS, PhD, or equivalent degree in related field with minimum 7y of work experience in Data Science / Machine Learning – OR – BS or equivalent degree in related field with minimum 10y or work experience in Data Science or Machine Learning Related degree fields include Data Science, Computer Science, Statistics, Mathematics, Engineering, Physical Sciences Experience in the Life Sciences industry preferred, though not required Technical Knowledge/Skills: Expert-level proficiency in Python, including production software development Expert-level experience developing deploying and maintaining production software and data products using tools in orchestration (e.g. Airflow, Prefect), containerization / virtual environments (e.g. Docker), version control (e.g. Github), CI/CD (e.g. Github Actions), observability (e.g. DataDog) and Cloud Architectures (e.g. AWS, GCP) Proficiency in working with common Generative AI frameworks and related tools including LangGraph, Pydantic, FastAPI, Snowflake Cortex, and related Strong knowledge of OLAP-style columnar SQL databases (i.e. Snowflake) and data models. Strong understanding of data pipeline, ETL processes and technologies (e.g. DBT). Experience with distributed big-data frameworks such as Spark are a plus Competencies: Experience working in agile product development methodologies, iterative and prioritization-based development using the 80-20 rule, and incorporating user feedback into technical features for development Ability to work in cross-functional technical teams in an enterprise environment to implement technical solutions Experience influencing and mentoring junior team members as an informal technical leader Preferred Qualifications: Personal Attributes: Self-starter with the ability to work with minimum supervision Business engagement experience with the ability to manage evolving business priorities and demands Ability to multitask – effectively manage simultaneous work requests across departments, IT, and other cross-functional organizations Willingness to learn new applications, tools, and approaches as additional needs arise Strong work ethic, with a proven track record in successfully achieving goals Proactive communication style Excellent verbal and written communication skills with the ability to present to and interact with a diverse group of executives, managers, and subject matter experts Ability to work 2-3 days a week in our Waltham office. The annual base salary for this position ranges from $158,000 to $180,000. In addition, this position is eligible for an annual performance pay bonus. Exact compensation may vary based on skills, training, knowledge, and experience. Alkermes offers a competitive benefits package. Additional details can be found on our careers website: www.alkermes.com/careers#working-here

Full job record

Job ID7d108daf520efcac487e7bf890aa45d09db5fcc7
Org IDd831e3c2-6a79-44af-a2cf-903b76ab4731
Source IDc9a1af55-d1aa-41d7-bb8e-0bf8dc082d85
Board IDc9a1af55-d1aa-41d7-bb8e-0bf8dc082d85
Provideroracle_hcm
Provider Job Key13920
TitleAssociate Director, MLOps (Staff AI / ML Engineer) - Hybrid
Normalized Title—
Statusdeleted
Activeno
Location TextWaltham, MA, United States
DepartmentCorporate Functions
Team—
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionMA
CityWaltham
Salary RawDescription Position Summary As an Associate Director, MLOps (Staff AI / ML Engineer) - Indigo AI Innovation Lab, you will play a pivotal role in the advancement of machine learning and AI capabilities across the Alkermes enterprise. You will work closely with our business and technical stakeholders to develop and scale generative AI and ML products and solutions within Alkermes. Your role will involve driving innovation in generative models, designing scalable AI/ML solutions, and collaborating with diverse teams. By architecting and delivering AI and ML products across the enterprise, you will ensure Alkermes' investments in these technologies translate into versatile capabilities for various business needs. Additionally, you will work with internal technical leadership to support Alkermes' AI strategy and technical investments, while contributing to best practices in software engineering and product management. You will support the strategic direction of the AI Innovation Lab and Alkermes’ enterprise data science strategy, and contribute to the development of best practices, standards, and frameworks for data science within the organization. This position will work a hybrid weekly schedule in our Waltham office. Responsibilities Essential Areas of Responsibility Work with cross-functional teams to architect and implement AI products that are scalable, performant, secure, and manage technical debt Demonstrate ownership of the technical delivery of product end to end, from collecting business requirements to architecting, implementing, and testing a solution Develop and maintain AI and ML platforms to expedite the development of ML/AI products and solutions, ensuring that they meet both current and future business needs, support large-scale data and model training, and maintain performance Work closely with product managers, PMs, Researchers, Data Scientists, development teams, and stakeholders to align end to end technical solutions with product and business objectives Research state-of-the art AI solutions and approaches to address a wide variety of use cases and platform needs Integrate solutions across a robust enterprise infrastructure stack including Docker, Snowflake, AWS, IaS, and JFrog Provide guidance and mentorship to development teams, improving overall team capability with respect to software engineering, data engineering, and generative AI application development Contribute to a culture of belonging, respect, team-focus, individual ownership, and performance within innovation lab Qualifications Basic Qualifications: Minimum Education & Experience Requirements: MS, PhD, or equivalent degree in related field with minimum 7y of work experience in Data Science / Machine Learning – OR – BS or equivalent degree in related field with minimum 10y or work experience in Data Science or Machine Learning Related degree fields include Data Science, Computer Science, Statistics, Mathematics, Engineering, Physical Sciences Experience in the Life Sciences industry preferred, though not required Technical Knowledge/Skills: Expert-level proficiency in Python, including production software development Expert-level experience developing deploying and maintaining production software and data products using tools in orchestration (e.g. Airflow, Prefect), containerization / virtual environments (e.g. Docker), version control (e.g. Github), CI/CD (e.g. Github Actions), observability (e.g. DataDog) and Cloud Architectures (e.g. AWS, GCP) Proficiency in working with common Generative AI frameworks and related tools including LangGraph, Pydantic, FastAPI, Snowflake Cortex, and related Strong knowledge of OLAP-style columnar SQL databases (i.e. Snowflake) and data models. Strong understanding of data pipeline, ETL processes and technologies (e.g. DBT). Experience with distributed big-data frameworks such as Spark are a plus Competencies: Experience working in agile product development methodologies, iterative and prioritization-based development using the 80-20 rule, and incorporating user feedback into technical features for development Ability to work in cross-functional technical teams in an enterprise environment to implement technical solutions Experience influencing and mentoring junior team members as an informal technical leader Preferred Qualifications: Personal Attributes: Self-starter with the ability to work with minimum supervision Business engagement experience with the ability to manage evolving business priorities and demands Ability to multitask – effectively manage simultaneous work requests across departments, IT, and other cross-functional organizations Willingness to learn new applications, tools, and approaches as additional needs arise Strong work ethic, with a proven track record in successfully achieving goals Proactive communication style Excellent verbal and written communication skills with the ability to present to and interact with a diverse group of executives, managers, and subject matter experts Ability to work 2-3 days a week in our Waltham office. The annual base salary for this position ranges from $158,000 to $180,000. In addition, this position is eligible for an annual performance pay bonus. Exact compensation may vary based on skills, training, knowledge, and experience. Alkermes offers a competitive benefits package. Additional details can be found on our careers website: www.alkermes.com/careers#working-here
Salary Min158,000
Salary Max180,000
Salary CurrencyUSD
Salary Periodweek
Source URLhttps://hbap.fa.us1.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/13920
Apply URLhttps://hbap.fa.us1.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/13920
First Seen At2026-05-31 18:10:58Z
Last Seen At2026-06-16 11:33:59Z
Last Checked At2026-06-18 12:01:32Z
Last Changed At2026-06-18 12:01:32Z
Inactive At2026-06-18 12:01:32Z
Source Posted At2026-03-25 14:51:53Z
Source Updated At—
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Strong understanding of data pipeline, ETL processes and technologies (e.g. DBT). Experience with distributed big-data frameworks such as Spark are a plus</li></ul><p style=\"background-color: white; line-height: normal; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;\">&nbsp;</p><p>Competencies:&nbsp;&nbsp;&nbsp;&nbsp;</p><ul style=\"list-style-type: disc;\"><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Experience working in agile product development methodologies, iterative and prioritization-based development using the 80-20 rule, and incorporating user feedback into technical features for development</li><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Ability to work in cross-functional technical teams in an enterprise environment to implement technical solutions</li><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Experience influencing and mentoring junior team members as an informal technical leader</li></ul><p style=\"background-color: white; line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">&nbsp;</p><p style=\"background-color: white; line-height: normal; margin-bottom: 0in; vertical-align: baseline;\"><strong>Preferred Qualifications:</strong></p><p style=\"background-color: white; line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Personal Attributes:</p><ul style=\"list-style-type: disc;\"><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Self-starter with the ability to work with minimum supervision&nbsp;</li><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Business engagement experience with the ability to manage evolving business priorities and demands</li><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Ability to multitask – effectively manage simultaneous work requests across departments, IT, and other cross-functional organizations</li><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Willingness to learn new applications, tools, and approaches as additional needs arise</li><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Strong work ethic, with a proven track record in successfully achieving goals</li><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Proactive communication style</li><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Excellent verbal and written communication skills with the ability to present to and interact with a diverse group of executives, managers, and subject matter experts</li><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Ability to work 2-3 days a week in our Waltham office.</li></ul><p>&nbsp;</p><p style=\"font-family: Calibri; font-size: 11pt; margin: 0in;\">The annual base salary for this position ranges from $158,000 to $180,000. In addition, this position is eligible for an annual performance pay bonus. &nbsp;Exact compensation may vary based on skills, training, knowledge, and experience. Alkermes offers a competitive benefits package. &nbsp;Additional details can be found on our careers website:&nbsp;<a href=\"http://www.alkermes.com/careers\">www.alkermes.com/careers#working-here</a></p>",
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Experience with distributed big-data frameworks such as Spark are a plus</li></ul><p style=\"background-color: white; line-height: normal; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;\">&nbsp;</p><p>Competencies:&nbsp;&nbsp;&nbsp;&nbsp;</p><ul style=\"list-style-type: disc;\"><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Experience working in agile product development methodologies, iterative and prioritization-based development using the 80-20 rule, and incorporating user feedback into technical features for development</li><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Ability to work in cross-functional technical teams in an enterprise environment to implement technical solutions</li><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Experience influencing and mentoring junior team members as an informal technical leader</li></ul><p style=\"background-color: white; line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">&nbsp;</p><p style=\"background-color: white; line-height: normal; margin-bottom: 0in; vertical-align: baseline;\"><strong>Preferred Qualifications:</strong></p><p style=\"background-color: white; line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Personal Attributes:</p><ul style=\"list-style-type: disc;\"><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Self-starter with the ability to work with minimum supervision&nbsp;</li><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Business engagement experience with the ability to manage evolving business priorities and demands</li><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Ability to multitask – effectively manage simultaneous work requests across departments, IT, and other cross-functional organizations</li><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Willingness to learn new applications, tools, and approaches as additional needs arise</li><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Strong work ethic, with a proven track record in successfully achieving goals</li><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Proactive communication style</li><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Excellent verbal and written communication skills with the ability to present to and interact with a diverse group of executives, managers, and subject matter experts</li><li style=\"background-color: white; color: rgb(33, 33, 33); line-height: normal; margin-bottom: 0in; vertical-align: baseline;\">Ability to work 2-3 days a week in our Waltham office.</li></ul><p>&nbsp;</p><p style=\"font-family: Calibri; font-size: 11pt; margin: 0in;\">The annual base salary for this position ranges from $158,000 to $180,000. In addition, this position is eligible for an annual performance pay bonus. &nbsp;Exact compensation may vary based on skills, training, knowledge, and experience. Alkermes offers a competitive benefits package. &nbsp;Additional details can be found on our careers website:&nbsp;<a href=\"http://www.alkermes.com/careers\">www.alkermes.com/careers#working-here</a></p>",
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