machine learning manager

Apple

<div>Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create, we deliver is the result of us making each other&rsquo;s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It&rsquo;s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you&rsquo;ll do more than join something - you&rsquo;ll add something.
 
Product Engineering International, part of the esteemed Software Engineering Organization, is looking for a highly motivated and experienced manager to lead a team focused on developing cutting-edge generative models for a diverse range of international languages for Apple Intelligence. In this pivotal role, you will be at the forefront of natural language processing, designing and implementing end-to-end solutions that will: 
<ul><li>Drive Innovation in Generative Modeling: Focus exclusively on building and optimizing generative models for international languages.</li><li>Full-Stack Language Expertise: Own the entire generative modeling pipeline, from data preprocessing and model architecture design to training, evaluation, and deployment.
</li><li>Language Diversity: Prioritize working with a variety of popular international languages, ensuring our models are culturally and linguistically adaptable.</li></ul> 

Description 
As a Manager of our ML team, you will lead all aspects of ML architecture, NLP technologies selection, model training, fine-tuning, ablation studies, and productization.
 
This role requires strong technical expertise, leadership skills, and the ability to collaborate across teams. The ideal candidate has a proven track record in managing teams, delivering production grade ML models across cloud and on-device environment, and making informed decisions that balance performance, privacy, security, and power constraints. A passion for mentoring and fostering team growth is essential, as you&rsquo;ll guide engineers to excel in their careers. If you thrive in dynamic environments and excel at leading teams and projects, we want to hear from you. Additionally, you will be encouraged to contribute to the broader research community by publishing in top-tier AI/ML journals. 
 
Preferred Qualifications 
Master's degree in AI, Machine Learning, Computer Science, Mathematics, or a related field. 
Experience in structuring software development teams. Experience in building scalable and maintainable software operating on large datasets
 
Excellent problem-solving and project management skills. Ability to interact with parties with varying levels of technical proficiency. 
Comprehensive understanding of the machine learning pipeline, encompassing data processing, training, and performance analysis.
 
Experience of multi-modal modeling, presenting plans, progress, and results or demos regularly and concisely 
Hands-on experience in NLP modeling for Indian languages is desired. 
 
Minimum Qualifications 
Minimum of 5+ years of experience as an Engineering Manager for software features focused towards machine learning components including processing large, complex data sets. 
Solid grasp of foundational generative technologies, including LLMs and diffusion models, as well as a deep understanding of NLP algorithms in general.
 
Strong analytical and problem-solving skills, with emphasis on software debugging of complex ML code basis.
 
High fluency in Python and ability to navigate in C/C++/Objective-C/Swift code bases. Familiar with frameworks like TensorFlow or PyTorch&quot;,&quot;internalDetails&quot;:null,&quot;eeoContent&quot;:null</div>

Machine Learning Manager, Apple Intelligence

Egen Solutions Inc

<div><div><div>Job Description :</div><div></div><div> 
We are seeking a highly motivated and experienced ML Manager/Lead Data Scientist to join our growing ML/GenAI team.</div><div></div><div> 
You will play a key role in designing, developing and productionalizing ML/GenAI applications by evaluating models, training and/or fine tuning them. As a lead, you require a deep understanding of both machine learning algorithms and software architecture. You need to take ownership of projects from conception to deployment, collaborating with engineers and stakeholders to ensure successful project delivery.</div></div><div><div><h3 class="jobSectionHeader">
What we're looking for:</h3><ul><ul><li>
At least 5 years of experience in designing &amp; building ML/AI applications for customer and deploying them into production</li><li>
At least 8 years of Software engineering experience in building Secure, scalable and performant applications for customers.</li><li>
At least 2 years of experience leading and mentoring ML/data science teams( 4+ team members)</li><li>
Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI.</li><li>
Design, develop, and operationalize existing ML models by fine tuning, personalizing it.</li><li>
Evaluate machine learning models and perform necessary tuning.</li><li>
Develop prompts that instruct LLM to generate relevant and accurate responses.</li><li>
Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation.</li><li>
Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance.</li><li>
Lead the end-to-end design and architecture of scalable, reliable, and cost-effective Generative AI solutions. This includes designing RAG (Retrieval-Augmented Generation) pipelines, agentic workflows, and model fine-tuning strategies.</li><li>
Hands on customer experience with RAG solution or fine tuning of LLM model.</li><li>
Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools.</li><li>
Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment.</li><li>
Act as the senior-most developer, writing clean, high-quality, and scalable code. This includes building core components for prompt engineering, vector search, data processing, model evaluation, and inference serving.</li><li>
Proven experience building and deploying machine learning models in production environments for real life applications</li><li>
Good understanding of natural language processing, computer vision or other deep learning techniques.</li><li>
Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain).</li><li>
Familiarity with Google Cloud or any other Cloud Platform and its machine learning services.</li><li>
Excellent communication, collaboration, and problem-solving skills.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader">
Good to Have
</h3><ul><ul><li>Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent.</li><li>
Experience of working with one or more public cloud platforms - namely GCP, AWS or Azure.</li><li>
Experience with AutoML and vision techniques.</li><li>
Master&rsquo;s degree in statistics, machine learning or related fields.</li></ul></ul></div></div><div><div>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Engineering Manager-AI/ML

Amazon

<div>
 
 Description
 
 
 
 Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud?
 
 
 Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems?
 
 
 Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you enjoy collaborating in a diverse team environment?
 
 
 If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention (BRP) Machine Learning group. We are looking for a Sr. manager of Applied Science who can lead a team of talented scientists to build advanced algorithmic systems that help manage the safety of millions of transactions every day. You will also spearhead initiatives to leverage Generative AI technologies to revolutionize our fraud detection capabilities and create next-generation risk prevention solutions
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Lead a team of scientists in developing machine learning and statistical techniques to create scalable risk management systems, including exploration of GenAI applications
 </li>
 <li>
 Guide team strategy in analyzing Amazon's historical business data to identify risk patterns and trends that inform business decisions
 </li>
 <li>
 Partner with senior leaders to frame business problems, establish scientific vision, and execute strategic roadmaps across the organization
 </li>
 <li>
 Direct research initiatives in novel machine learning approaches and ensure successful implementation of promising solutions
 </li>
 <li>
 Oversee the design, development, and evaluation of highly innovative risk management models
 </li>
 <li>
 Build and maintain strategic partnerships with software engineering teams to ensure successful real-time model implementations and new feature creations
 </li>
 <li>
 Develop and maintain relationships with operations staff to optimize risk management operations
 </li>
 <li>
 Drive the establishment of scalable, efficient, automated processes for large-scale data analyses, model development, validation, and implementation
 </li>
 <li>
 Provide clear, compelling management reporting on team progress, model performance, and business impact.
 </li>
 <li>
 Hire, grow, and develop excellent scientific and analytic talents within the BRP Payment Risk team.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 A Master in Computer Science, Machine Learning, Statistics, Operations Research or relevant field
 </li>
 <li>
 8+ years of building models for business application experience
 </li>
 <li>
 Experience programming in Java, C++, Python or related language
 </li>
 <li>
 Good written and spoken communication skills
 </li>
 <li>
 Experience of building/developing teams, direct and shape the team plan, culture and strategy.
 </li>
 <li>
 Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 A PhD in Computer Science, Machine Learning, Statistics, Operations Research or relevant field
 </li>
 <li>
 10+ years of industry experience in predictive modeling and analysis as a scientist or science manager
 </li>
 <li>
 Experience in managing managers
 </li>
 <li>
 Machine Learning breadth and depth
 </li>
 <li>
 Ability to think creatively and solve complex business and technical problems
 </li>
 <li>
 Skills in SQL/Python/R (or similar)
 </li>
 <li>
 Demonstrated track record of cultivating effective working relationships and driving collaboration across multiple technical and business teams
 </li>
 <li>
 Experience in managing cross-functional projects
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - BLR - DTA
 
 
 Job ID: A3048678
</div>

Sr Manager, Applied Science, BRP Payment Risk ML

Cognizant Technology Solutions

<div></div><div>Job Summary
The Manager-Data Science will play a crucial role in driving data-driven decision-making processes within the organization. With a focus on leveraging machine learning and artificial intelligence the candidate will lead data science projects that enhance business operations. The role requires a strong foundation in Python and offers an opportunity to work in a hybrid model ensuring a balance between work and personal life. 
Responsibilities<ul><li>
Lead data science initiatives to support strategic decision-making and operational efficiency.</li><li>
Oversee the development and implementation of machine learning models to solve complex business problems.</li><li>
Collaborate with cross-functional teams to integrate AI solutions into existing systems.</li><li>
Provide insights and recommendations based on data analysis to improve business processes.</li><li>
Ensure the accuracy and reliability of data-driven models and algorithms.</li><li>
Develop and maintain scalable data pipelines and infrastructure.</li><li>
Monitor and evaluate the performance of data science projects to ensure alignment with business goals.</li><li>
Mentor and guide junior data scientists in best practices and advanced techniques.</li><li>
Stay updated with the latest trends and advancements in data science and AI.</li><li>
Foster a culture of innovation and continuous improvement within the team.</li><li>
Communicate findings and insights to stakeholders in a clear and concise manner.</li><li>
Utilize Python for data manipulation analysis and visualization tasks.</li><li>
Collaborate with investment banking teams to tailor data solutions to industry-specific needs.</li></ul> 
Qualifications<ul><li>
Possess a strong background in machine learning and artificial intelligence with practical experience.</li><li>
Demonstrate proficiency in Python programming for data science applications.</li><li>
Have experience in investment banking operations and brokerage as a nice-to-have skill.</li><li>
Exhibit excellent problem-solving skills and the ability to work in a fast-paced environment.</li><li>
Show strong communication skills to effectively convey technical concepts to non-technical stakeholders.</li><li>
Display leadership qualities to guide and mentor team members.</li><li>
Be adaptable to hybrid work models and manage time efficiently.</li></ul></div>

Manager-Data Science

eBay

<div>At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
Do you love data? Graphs? Machine Learning? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce!
Who Are We?
The Product Knowledge team is at the epicenter of eBay&rsquo;s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay&rsquo;s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow!
What Will You Do?
We are looking for seasoned Applied Researchers to join us and help lead improvements, automation, and scaling of our data-heavy processes. Our Senior Researchers tackle such diverse and challenging projects on Image Quality scoring; Automatic Taxonomy Improvement; Entity Resolution of rich, hierarchical Entities; and Conflict Resolution between different representations of the same Entity. Further, they help us design these separate projects and envision how they come together to create and power new experiences that surprise and delight our Customers. If you love a good challenge, and are good at handling complexity - we&rsquo;d love to hear from you!
eBay is an amazing company to work for. Being on the team, you can expect to benefit from:<ul><li>
A competitive salary - including stock grants and a yearly bonus</li><li>
A healthy work culture that promotes business impact and at the same time highly values your personal well-being</li></ul>
Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world&rsquo;s population, and takes every opportunity to make this clearly apparent
Job Summary
As a Manager of Applied Machine Learning, you will lead a high-impact team of scientists and engineers building state-of-the-art machine learning systems to solve critical problems that affect millions of eBay users. You will set the direction, nurture talent, and ensure excellence in execution and scientific rigor, while collaborating across product, engineering, and operations to deliver measurable customer and business impact.
Key Responsibilities<ul><li>
Drive Strategy &amp; Vision: Partner with senior leadership, product management, and other stakeholders to define and execute the machine learning roadmap aligned with business goals.</li><li>
Team Leadership: Lead, mentor, and grow a team of ML scientists and engineers. Create an environment that encourages innovation, high performance, and career development.</li><li>
Technical Oversight: Guide and review the development of machine learning models and data pipelines, ensuring scalability, scientific validity, and production readiness.</li><li>
Cross-Functional Collaboration: Collaborate with Product and Analytics teams to scope projects, prioritize initiatives, and ensure seamless data and model integration.</li><li>
Operational Excellence: Define project goals, success metrics, and delivery timelines. Ensure effective resource allocation and continuous improvement in team processes.</li><li>
Foster Scientific Rigor: Uphold high standards of experimentation, measurement, and peer review. Promote the use of reproducible research and robust evaluation practices.</li><li>
Data Strategy: Partner with the operations and data teams to ensure access to high-quality labeled data, and proactively shape data acquisition strategies where needed.</li><li>
Talent Development: Provide coaching and technical guidance to team members. Conduct performance reviews, identify skill gaps, and invest in team capability building.</li><li>
Hiring: Attract, interview, and hire top talent to grow the team and enhance its diversity of thought and background.</li></ul>
Minimum Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, or a related field with 6+ years of relevant industry experience, including 3+ years in people management.</li><li>
Proven experience leading machine learning teams in an applied industrial setting.</li><li>
Deep understanding of modern ML approaches including classification, regression, NLP, clustering, deep learning, and/or reinforcement learning.</li><li>
Strong programming background in Python, Java, or similar, with exposure to production-grade ML systems.</li><li>
Proficiency with big data processing frameworks such as Hadoop, Spark, and SQL.</li><li>
Excellent communication, storytelling, and stakeholder management skills.</li><li>
Demonstrated ability to translate business needs into scientific problems and to prioritize for impact.</li></ul> 
Additional Qualifications<ul><li>
Master&rsquo;s or Ph.D. in a relevant field (Computer Science, ML, Stats, etc.)</li><li>
Track record of impactful publications and/or patents in machine learning or related areas.</li><li>
Contributions to open-source ML tools or frameworks.</li><li>
Experience with modern large language models, graph-based ML, or knowledge graph construction.</li><li>
Strong presence in scientific communities through talks, panels, or organizing roles.</li></ul> 
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our Accessibility Statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. 
The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.</div>

Senior Applied Researcher

<div>
 
 📣We are looking for a
 
 Data Science Manager
 
 to join our Product &amp; Analytics team to continuously improve operational processes, increase efficiency, and implement new opportunities that support our business goals!
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Lead the management of data science projects across the business, contributing both technical expertise and business insight to planning, implementation, and performance tracking of deployed models.
 </li>
 <li>
 Provide day-to-day leadership of the Data Science team, including sprint planning, retrospectives, mentoring, and promoting a culture of continuous improvement and delivery excellence.
 </li>
 <li>
 Translate strategic goals into actionable data science projects and team roadmaps.
 </li>
 <li>
 Oversee the design, development, and deployment of predictive models, including recommendation engines, churn prediction, demand forecasting, and pricing optimization.
 </li>
 <li>
 Promote best practices in model governance, data quality, and reproducibility.
 </li>
 <li>
 Discover and prioritize new use cases where machine learning can drive measurable business impact, such as automating player segmentation or detecting promotional abuse.
 </li>
 <li>
 Partner closely with Data Engineering teams to ensure scalable and reliable model deployment, aligning solutions with the company&rsquo;s data infrastructure and operational flows.
 </li>
 </ul>
 
 
 
 
 
 Who You Are
 
 
 <ul>
 <li>
 8+ years of experience in data science or analytics, with at least 3 years managing a team.
 </li>
 <li>
 Proven experience in e-commerce, retail, or digital consumer businesses.
 </li>
 <li>
 Strong knowledge of machine learning, experimentation design, causal inference, and predictive modeling.
 </li>
 <li>
 Knowledge of Python / R and data modeling + experience in AI / ML, service connection skills with IT teams
 </li>
 <li>
 Strategic thinker who can translate business goals into actionable data projects.
 </li>
 <li>
 Passionate about mentoring and developing a high-performing team.
 </li>
 <li>
 Experience with recommendation systems, personalization engines, or large-scale e-commerce platforms.
 </li>
 <li>
 Professional competence in English language.
 </li>
 </ul>
 
 
 
 
 As n11.com, we care about your Personal Data Security. Please find the Personal Data Protection Information Notice from the link below.
 
 
 
 
 
 https://n11scdn1.akamaized.net/custom/aydinlatma-metni/People-Aydinlatma-Metni.pdf
 
</div>

Data Science Manager

Amgen

<div>Join Amgen&rsquo;s Mission of Serving Patients
At Amgen, if you feel like you&rsquo;re part of something bigger, it&rsquo;s because you are. Our shared mission&mdash;to serve patients living with serious illnesses&mdash;drives all that we do.
Since 1980, we&rsquo;ve helped pioneer the world of biotech in our fight against the world&rsquo;s toughest diseases. With our focus on four therapeutic areas &ndash;Oncology, Inflammation, General Medicine, and Rare Disease&ndash; we reach millions of patients each year. As a member of the Amgen team, you&rsquo;ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you&rsquo;ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
What You Will Do
As Manager &ndash; V&amp;A Transformation Initiatives, you will be at the forefront of solving the US Value &amp; Access team&rsquo;s biggest challenges using cutting edge technology. The AIN Transformation team will be viewed as an &ldquo;innovation engine&rdquo;, constantly testing and refining analytics solutions to address customer needs and opportunities alongside business partners.
In your role as a manager, you&rsquo;ll be expected to combine a deep understanding of access data and analytics with experience in developing and deploying advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. Together with 2-4 associates you lead, you will be responsible for building and testing solutions for targeted business challenges. This will include application of advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets.
The ideal candidate for this position will understand the business challenges that US Value &amp; Access teams face and will have with a track record of success in applying that knowledge to build, deploy, and refine high impact advanced analytics tools.
This role will report to the Senior Manager, V&amp;A Transformation Initiatives and will work in close collaboration with leaders of the Strategy &amp; Innovation Team in the United States Access Analytics &amp; Insights organization in India.
Roles &amp; Responsibilities:<ul><li>
Accountable to drive full lifecycle of data science projects delivery and ability to guide data scientists in shaping the developing the solution and act as a subject matter expert in solving development and commercial questions</li><li>
Assume the role of business owner and manage the Proprietary AI engine built to optimize Copay</li><li>
Ensure models are trained with the latest data and meet the SLA expectations</li><li>
Manage AI tool&rsquo;s road map, working with a global cross functional team</li><li>
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.</li><li>
Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.</li><li>
Perform exploratory and targeted data analyses using descriptive statistics and other methods.</li><li>
Model/analytics experiment and development pipeline leveraging MLOps.</li><li>
Oversee efforts of 2-4 associates, including setting performance standards, managing their staffing, and monitoring performance</li><li>
Collaborate with technical teams to translate the business needs into technical specifications, particularly focusing on AI-driven automation and insights.</li><li>
Develop and integrate custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities to enhance decision-making and efficiency.</li></ul>
What We Expect of You
We are all different, yet we all use our unique contributions to serve patients.
Basic Qualifications:<ul><li>
8-13 years post degree in computer science, statistics or STEM majors with a minimum of 4 years of Information Systems experience</li><li>
Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings and other standard data sets including claims, prescription, EMR</li><li>
Experience with one or more analytic software tools or languages like R and Python</li><li>
Strong foundation in machine learning algorithms and techniques</li><li>
Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification</li></ul>
Preferred Qualifications:<ul><li>
Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)</li><li>
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)</li><li>
Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills</li><li>
Experience with data engineering and pipeline development</li><li>
Knowledge of NLP techniques for text analysis and sentiment analysis</li><li>
Experience in analyzing time-series data for forecasting and trend analysis</li><li>
Experience with AWS, Azure, or Google Cloud</li><li>
Experience with Databricks platform for data analytics and MLOps</li></ul>
Professional Certifications<ul><li>
Any AWS Developer certification (preferred)</li><li>
Any Python and ML certification (preferred)</li></ul>
Soft Skills:<ul><li>
Initiative to explore alternate technology and approaches to solving problems.</li><li>
Skilled in breaking down problems, documenting problem statements, and estimating efforts.</li><li>
Excellent analytical and troubleshooting skills.</li><li>
Strong verbal and written communication skills</li><li>
Ability to work effectively with global, virtual teams</li><li>
High degree of initiative and self-motivation.</li><li>
Ability to manage multiple priorities successfully.</li><li>
Team-oriented, with a focus on achieving team goals</li></ul>
What you can expect of us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we&rsquo;ll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
Apply now
for a career that defies imagination
Objects in your future are closer than they appear. Join us.
careers.amgen.com</div>

Manager, Value & Access Transformation Initiatives

Search 10000+ Machine learning manager jobs near you this November. New roles added regularly across leading industries. Apply today.