Role Description - Writing effective, scalable code. - Knowledge of OpenCV. - Knowledge of machine learning libraries e.g. Tensorflow, Keras, Numpy, Matplotlib, Pandas, Dask etc. - Knowledge of data analysis in Python, Predictive analysis, Correlation, Regression, Factor Analysis, NLP etc. - Knowledge of data modelling, categorisation. - Knowledge of image classification, object detection, recommending system. Qualifications - 5+ years of experience as Python Developer/Python Engineer. - Strong Problem solving ability. - Experience handling gigabyte and terabyte size datasets. - You are & remain aware of the latest tools and technologies. - Experience working with retail or e-commerce data. - Experience in Python scripting. - Object-oriented programming skills. - Experience with version control systems (Git). - Experience deploying machine learning models.

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we're making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world. Job Summary The Machine Learning Revenue (MLR) Architect is a senior leadership role responsible for leading and coordinating the strategic development of MLR solutions. This position requires a blend of business understanding, critical thinking skills along with expertise in Machine Learning (ML) methodologies, business process and systems architecture design. Key duties include designing how algorithms embed within broader systems, leading engineers, data scientists and analysts, and collaborating with business stakeholders to ensure efforts drive economic growth. Job Description - Opportunity Definition Work with business and operational teams to understand the problem, the operational and system constraints, the available data, and decision points. Communicate this to the team to ensure team members have a clear understanding of the problem. Define how opportunities fit within the long-term evolution of the systems. - Define Project KPIs and Analytics Strategies : Based on the problem and the - available data, determine how we can measure success and monitor system - outcomes/dynamics. - Solutions design: Define and drive the evolution of the solution, identifying points of high leverage, and phases/evolution of the system. Determine whether and how 3rd party capabilities can be integrated into the solution. Solutions may include changes to data, operational processes, and software systems. - Project stewardship: Evolve plans and direction as we iteratively gather feedback and learn about solution effectiveness. Identify and resolve roadblocks, miscommunication, and misunderstanding, and, as needed, adapt plans to meet target timelines. - Stakeholder management: Collaborate with cross-functional leaders to identify opportunities, communicate and evaluate solutions, and gather feedback. - Team leadership: Mentor of data scientists and analysts, fostering a collaborative and high-performing environment. Passionate about solving problems, and inspires similar spirit in team members. - Technical direction: Provide technical guidance, set standards, and ensure the team uses appropriate tools and methodologies. - Innovation: Stay current with emerging trends in data science, AI, and big data - technologies to drive innovation and maintain a competitive advantage. - Consistent exercise of independent judgment and discretion in matters of significance. - Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary. - Other duties and responsibilities as assigned. Required skills and qualifications - Education: A Master's or PhD in a quantitative field such as Management Science, Computational Economics, Statistics, or Computer Science, or equivalent industry experience. - Experience: Extensive experience in Advertising Technology, with a proven track record of delivering business results. - Business acumen: Strong understanding of how math can be leveraged to solve business problems and drive growth. Strong understanding of digital advertising - ecosystem and technologies. Exceptional problem-solving and critical thinking skills. - Technical proficiency: Strong expertise in statistical analysis, machine learning, data mining, and data visualization. - Programming: Proficiency in languages like Python or R, and experience integrating solution into the enterprise infrastructure - Big data: Experience with big data technologies such as Hadoop and Spark. - Leadership: Proven experience in leading and managing teams of technical professionals - Communication: Excellent communication and presentation skills to translate complex data into actionable business strategies for various audiences. Employees at all levels are expected to: - Understand our Operating Principles; make them the guidelines for how you do your job. - Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. - Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. - Win as a team make big things happen by working together and being open to new ideas. - Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. - Drive results and growth. - Support a culture of inclusion in how you work and lead. - Do what's right for each other, our customers, investors and our communities. Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Comcast will consider for employment applicants with arrest or conviction records in accordance with the requirements of applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Please note that federal state, or local laws and regulations may restrict or prohibit Comcast from hiring individuals convicted of certain crimes. Additionally, an applicant's criminal history may have a direct, adverse, and negative relationship on the job duties of this position, which may result in the withdrawal of a conditional offer of employment. Skills: Leadership; Mathematics Modeling; Critical Thinking; Analytics Salary: National Pay Range: $192,396.16 USD-$450,928.49 USD Illinois Pay Range: $204,420.92 USD - $396,817.07 USD Colorado Pay Range: $216,445.68 USD - $414,854.21 USD Hawaii Pay Range: $252,519.96 USD - $378,779.93 USD Washington DC Pay Range: $276,569.48 USD - $414,854.21 USD Maryland Pay Range: $228,470.44 USD - $414,854.21 USD Minnesota Pay Range: $216,445.68 USD - $378,779.93 USD New York Pay Range: $228,470.44 USD - $450,928.49 USD Washington Pay Range: $216,445.68 USD - $432,891.35 USD New Jersey Pay Range: $240,495.20 USD - $432,891.35 USD Vermont Pay Range: $228,470.44 USD - $360,742.79 USD Massachusetts Pay Range: $240,495.20 USD - $432,891.35 USD California Pay Range: $216,445.68 USD - $400,825.32 Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 15 Years +

• Design, train, and evaluate predictive ML models with a focus on forecasting and time-series applications • Conduct exploratory data analysis, feature engineering, and statistical modeling across large structured and unstructured datasets • Collaborate with Engineering to define ML infrastructure requirements, and deploy and integrate ML models into operational workflows and decision-support tools • Work cross-functionally with Camus teams to define problem statements and translate business objectives into ML solutions • Communicate model performance, uncertainty, and limitations clearly to both technical and non-technical audiences • Champion ML best practices around reproducibility, versioning, and testing

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are seeking an experienced, purpose-driven Staff, Talent Development to be at the forefront of our Global Talent Management transformation. In this pivotal role, you will have the opportunity to accelerate an integrated talent management strategy that prepares our workforce for the evolving demands of the business. You will work at the intersection of strategy and execution, collaborating with talent partners, business leaders, and cross-functional stakeholders to strengthen leadership and team effectiveness. If you thrive on making a measurable impact and bringing out the best in others, this is your opportunity to contribute at scale. Key Responsibilities: - Talent Development Strategy and Design: Lead the development of scalable leadership and talent management programs aligned to enterprise and business priorities. Apply neuroscience, and systems thinking to architect programs that drive measurable change in behavior and performance, with a strong interest in embedding AI as a learning amplifier. Program Execution and Reinforcement: Oversee the end-to-end delivery of global programs including curation of pre and post workshop learning journeys. Incorporate social, collaborative and tech-enabled learning tools - along with reinforcement and performance support practices as an integrated talent solution. Manage partnerships and internal resources to ensure quality and consistency across offerings. - Facilitation and Coaching: Facilitate leadership and team member development workshops, ensuring effective knowledge transfer and an engaging learner experience. Coach leaders and teams to achieve transformative impact. - Stakeholder Partnership: Work with talent partners and business leaders to diagnose and prioritize leadership development interventions. Provide clear, and tailored updates to keep stakeholders informed on our programs. - Measurement and Data-Driven Effectiveness: Develop measures and success metrics to assess learning effectiveness, applying these measures to drive progress in talent management and retention. - Best Practices and Relevancy: Leverage technology platforms, AI and digital tools to enhance learner experiences and effectiveness. Sense market shifts and convert business priorities into future skill maps that evolve with talent market trends and workforce expectations. Qualifications - Bachelor's or Master's degree in Human Resources Management, Organization Development, Psychology, Business Administration, or a relevant field. - Minimum of 8 years of directly related experience, with at least 5 years in a multinational company. What you'll need to succeed - Sound business acumen and enterprise thinking to derive insights and build effective talent development solutions that address organizational needs. - Exceptional stakeholder management with the ability to build trusted partnerships across all levels and influence with credibility and leadership presence. - A strong command of instructional design, learning and development models, frameworks, tools, and solutions for leadership and team effectiveness. - Curiosity and comfort with technology. Experienced in designing and implementing impactful leadership development solutions, including pre/post workshop journeys utilizing technology platforms for scalability and sustainability. - Strong facilitation and communication presence. Whether in a room with senior leaders or facilitating global workshops virtually, you can inspire, engage, and drive meaningful dialogue and workshop experience. - Proficient in deriving data-driven insights to measure learning effectiveness. - Skills in program management to scale global delivery and oversee change management during program revisions. - Collaborative in nature, a great teammate with demonstrated adaptability and the ability to thrive in a fast-paced and dynamic environment. - A strong passion for learning and fostering a positive culture. - Bias for action and a proactive attitude towards self-development. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities - from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_my@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.