ai/ml specialist

Snowflake

<div>
 At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
 <br/>
 <br/>
 <strong>
  Position Overview:
 </strong>
 We are seeking an exceptional individual to join our team as an AI/ML Specialist looking after the META region in the Applied Field Engineering team. The ideal candidate will combine deep technical expertise with outstanding interpersonal skills to drive sales and innovation, align technical solutions with customer needs, and foster collaboration across teams. This position demands a thought leader who is equally comfortable discussing technical architectures and shaping strategic decisions.
 <br/>
 <br/>
 KEY RESPONSIBILITIES:
 <br/>
 <br/>
 <ul>
  <li>
   Solution Selling:
  </li>
  <ul>
   <li>
    The role will be aligned to the sales engineering organisation, and hence the successful candidate should be skilled in technical sales.
   </li>
  </ul>
  <li>
   Strategic Leadership:
  </li>
  <ul>
   <li>
    Act as a trusted advisor to customers and internal stakeholders, guiding them on how our solutions align with their business goals.
   </li>
   <li>
    Support the adoption of features, best practices and technologies in the broader Snowflake ecosystem to maintain a competitive edge.
   </li>
  </ul>
  <li>
   Technical Expertise:
  </li>
  <ul>
   <li>
    Influence the design and implementation of complex AI/ML solutions, ensuring scalability, performance, and security.
   </li>
   <li>
    Provide hands-on technical guidance to AI/ML teams during critical projects.
   </li>
   <li>
    Stay updated on industry advancements, identifying opportunities to integrate cutting-edge technologies into our offerings.
   </li>
  </ul>
  <li>
   Customer Engagement:
  </li>
  <ul>
   <li>
    Deliver compelling technical presentations, workshops, and demonstrations to customers and partners.
   </li>
   <li>
    Troubleshoot and resolve customer challenges, leveraging a deep understanding of their workloads.
   </li>
  </ul>
  <li>
   Team Collaboration:
  </li>
  <ul>
   <li>
    Collaborate with product teams, fostering a culture of innovation, learning, and excellence.
   </li>
   <li>
    Team up with sales, marketing, and the wider snowflake team as well as GSIs, CSPs and ISVs to ensure alignment on customer objectives.
   </li>
   <li>
    Contribute to thought leadership through blog posts, white papers, quickstarts and industry events.
    <br/>
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 TECHNICAL REQUIREMENTS:
 <br/>
 <br/>
 <ul>
  <li>
   Essential
  </li>
  <ul>
   <li>
    Generative AI: Experience or understanding of using LLMs and related technology (e.g. vector dbs, embeddings etc.) for either chat assistants or unstructured data processing. Interest in emerging trends in the field such as Agents
   </li>
   <li>
    Machine Learning: Experience in the standard Python stack including but not limited to pandas, numpy, sklearn, matplotlib, pytorch etc.
   </li>
   <li>
    Programming: Demonstrated ability to code working AI/ML prototypes in Python (and, ideally, Snowpark Python)
   </li>
   <li>
    Solution Design: Demonstrated ability to architect complex, scalable solutions across diverse industries
   </li>
  </ul>
  <li>
   Highly Desirable
  </li>
  <ul>
   <li>
    Snowflake Experience: experience with the Snowflake AI/ML ecosystem
   </li>
   <li>
    Data Engineering: while not strictly part of the role, experience in the adjacent/overlapping discipline is beneficial
   </li>
   <li>
    ML Ops: Experience in ML Ops including feature stores, model registries, observability
   </li>
   <li>
    DevOps and CI/CD: Experience of DevOps practices and CI/CD pipelines
    <br/>
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 PERSONAL ATTRIBUTES:
 <br/>
 <br/>
 <ul>
  <li>
   Visionary Thinking: Ability to anticipate industry trends and align technical sales strategies accordingly.
  </li>
  <li>
   Exceptional Communication: Skilled at translating complex technical concepts into accessible language for diverse audiences.
  </li>
  <li>
   Customer-Centric: Deeply invested in understanding and addressing customer needs.
  </li>
  <li>
   Collaborative Leadership: Proven ability to inspire, mentor, and unify cross-functional teams.
  </li>
  <li>
   Resilience: Comfortable navigating ambiguity, making tough decisions, and adapting to rapid changes.
  </li>
  <li>
   Integrity and Empathy: Embodying transparency, honesty, and understanding in all professional interactions.
  </li>
  <li>
   Internal Motivation: Demonstrates self-drive, passion, and a proactive approach to achieving goals and continuous improvement.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us?
 </strong>
 This is a rare opportunity to shape the future of our product initiatives while having a meaningful impact on our customers and the industry. If you are a passionate technologist with a strategic mindset and a people-first approach and enjoy selling, we invite you to bring your expertise and vision to our team.
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 <br/>
 Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
 <br/>
 <br/>
 How do you want to make your impact?
 <br/>
 <br/>
 For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
</div>


AI Specialist

Sagility

<div><h2 class="jobSectionHeader"><b>About Sagility</b></h2>
<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>Sagility combines industry-leading technology and transformation-driven BPM services with decades of healthcare domain expertise to help clients draw closer to their members. The company optimizes the entire member/patient experience through service offerings for clinical, case management, member engagement, provider solutions, payment integrity, claims cost containment, and analytics. Sagility has more than 25,000 employees across 5 countries.</p>
</div></div></div></div></div></div></div></div></div></div></div></div></div></div>&quot;To lead data science projects, provide advanced insights, and mentor junior team members.
<br>
Senior Data Scientists oversee the technical aspects of data science projects and contribute to decision-making processes.&quot;
<p></p><div><div><div><div><div><div><div><p><b>Job title:</b></p>
</div></div></div></div></div></div></div>Sr Data Scientist
<p></p><div><div><div><div><div><div><div><p><b>Job Description:</b></p>
</div></div></div></div></div></div></div><div><p><b>Job Description | Data Science</b></p>
</div><p><b>About Sagility</b></p>
<p>Sagility is a tech-enabled BPM services provider, a thought partner providing a broad spectrum of transformational services, to enable our clients provide efficient and hi-quality care across the healthcare system.</p>
<p>Sagility&trade;️ combines industry-leading technology and transformation-driven BPM services with decades of healthcare domain expertise to help clients draw closer to their members. We optimize the entire member/patient experience through service offerings for clinical, case management, member engagement, provider solutions, payment integrity, claims cost containment, and analytics.</p>
<p>Leading industry analyst firms have consistently cited our service excellence, breadth of offerings, and ability to execute. The most recent being recognized as a leader for Healthcare Payer Operations in 2022 as a part The Healthcare Payer Operations PEAK Matrix&reg; Assessment report by Everest Group. To learn more about our recognitions please visit our AWARDS SECTION</p>
<p>We have 28,000+ employees in 15 cities across 5 countries &ndash; India, Philippines, USA, Jamaica, and Colombia.</p>
<p><b>About Sagility Technology
</b></p><p>We are the technology wing of Sagility, providing a complete solution that encompasses people, process, and technology platform improvements. Equipped with a strategic solutions mindset, our core focus is on what most benefits the client. Sagility Technology uses a holistic consulting approach to identify the root causes of healthcare payer and provider pain points, analyze the issues and create custom solution roadmap to improve efficiency, engagement, data management, and overall processes.</p>
<p></p><p><b>About Sagility Care Management</b></p>
<p>A technology-enabled care management services arm of Sagility focused on applying whole-person interventions to improve healthcare outcomes, reduce costs, and increase satisfaction.</p>
<p></p><p><b>Job Details
</b></p><p><b>Description</b></p>
<p><b>Details</b></p>
<p><b>Job Title
</b></p><p><b>Manager/Sr Manager - DS</b></p>
<p><b>Reporting to
</b></p><p><b>Associate Director/Director - Provider - AI ML A
</b></p><p><b>Location
</b></p><p>Hyderabad/Hybrid</p>
<p><b>Working Hours/ Days
</b></p><p>5 days</p>
<p><b>Shift
</b></p><p>Day/Afternoon</p>
<p></p><p><b>Company URL
</b></p><p>www.sagilityhealth.com</p>
<p><b>Minimum Tech Skills
</b></p><p>1.Should have worked on minimum 6 academic projects and 2 Real world AI-ML Projects which are deployed in production &ndash;
<br>
2.Qualification, Skills &ndash; 1st Preference &ndash; Math, Stats Science/Arts Graduates with Any programming language ( R/Py/Ruby/C+) Knowledge and practical implementation of Statistical Modelling and Machine Learning, conceptual clarity of Math and Stats application in real world .</p>
<p>Modelling &ndash; Supervised &amp; Unsupervised , Classification and Regression, Boosting, Data Mining ( core exploratory data mining ) tasks , Survival Modelling, Loss Forecasting ( Insurance) . machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. Etc. Deep Learning Models Programming Skills &ndash; Python, hands on experience in handling big data, writing programs, classes, functions. Statistics &ndash; Good applied statistical skills, including Measue of dispertion, variation, sampling, correlation and causatrion, knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.<b> Proficiency in statistics is essential for this role</b> Needs to have academic or practical experience of formulating a DS project. Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data</p>
<p></p><p><b>Your life with us</b></p>
<p></p><p>Sagility believes in Doing Right by its People.</p>
<p></p><p>Here&rsquo;s a refined <b>Job Description</b> for a <b>Data Science Manager / Senior Manager</b> with a strong emphasis on <b>technical leadership</b> and <b>machine learning expertise</b>:</p>
<div></div><p><b>Job Title: Data Science Manager / Senior Manager &ndash; Technical Leadership in ML</b></p>
<p><b>Location</b>: [Insert Location]
<br>
<b>Department</b>: Data Science &amp; AI
<br>
<b>Reporting To</b>: VP / Director of Data Science</p>
<div></div><p><b>Role Summary</b></p>
<p>We are looking for a technically strong and visionary <b>Data Scientist / Senior DS </b>to lead a team of data scientists in building scalable, production-grade AI solutions. This role demands deep expertise in machine learning, hands-on technical leadership, and the ability to architect and guide complex data science initiatives from ideation to deployment.</p>
<div></div><p><b>Key Responsibilities</b></p>
<p><b>Technical Leadership</b></p>
<ul><li>Core expertise in statistical and mathematical modelling.</li>
<li>Experience and knowledgfe in pretrained model frameworks.</li>
<li>Architect and oversee the development of advanced ML models including supervised, unsupervised, and deep learning approaches.</li>
<li>Drive best practices in model development, validation, deployment, and monitoring.</li>
<li>Lead code reviews, model audits, and ensure reproducibility and scalability of solutions.</li>
<li>Champion MLOps practices and CI/CD pipelines for ML workflows.</li>
</ul><p><b>Team Management</b></p>
<ul><li>Mentor and grow a team of data scientists and ML engineers.</li>
<li>Foster a culture of technical excellence, ownership, and continuous learning.</li>
<li>Set clear goals, provide feedback, and support career development.</li>
</ul><p><b>Strategic Execution</b></p>
<ul><li>Translate business problems into data science solutions with measurable impact.</li>
<li>Prioritize projects based on ROI, feasibility, and strategic alignment.</li>
<li>Collaborate with cross-functional teams including engineering, product, and domain experts.</li>
</ul><p><b>Innovation &amp; Thought Leadership</b></p>
<ul><li>Stay ahead of the curve on emerging ML techniques, tools, and frameworks.</li>
<li>Evaluate and integrate cutting-edge technologies into the team&rsquo;s workflow.</li>
<li>Represent the data science function in technical forums and leadership discussions.</li>
</ul><div></div><p><b>Required Qualifications</b></p>
<ul><li>Exerptise in Computer Science, Machine Learning, Statistics, or related field. Min Graduate</li>
<li>8+ years of experience in data science, with 3+ years in a technical leadership role.</li>
<li>Proven track record of deploying ML models in production environments.</li>
<li>Strong programming skills in Python (preferred), R, or Scala.</li>
<li>Deep understanding of ML frameworks (e.g., PyTorch, TensorFlow, XGBoost, scikit-learn).</li>
<li>Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).</li>
<li>Familiarity with MLOps tools (MLflow, Airflow, SageMaker, etc.).</li>
</ul><p></p><p>We believe in providing strong growth opportunities, multiple training programs to support your learning curve, exposure to large international clients and access to advanced technologies and solutions at your disposal - so that you can focus on making a difference through your role.</p>
<p>We are an inclusive, open, and welcoming organization where our people are at the heart of everything that we do. We believe in giving back to the local communities in which we operate. We have strong rewards and recognition platforms, programs where your ideas can turn into reality.</p>
<p>We respect the need for a composite life and to encourage the same, we have employee friendly leave policies for the much needed down time and a lot more. Our medical insurance coverage is one of the best in class, covering you and your family when you need it. Last but not the least, we have lots of fun everyday through our wellbeing programs, talent shows, engagement activities - it&rsquo;s an endless list!</p>
<p></p><div><div><div><div><div><div><div><p><b>Location:</b></p>
</div></div></div></div></div></div></div>HyderabadIndia</div></div>

Sr Data Scientist

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
</div><div><p>** Onsite Only , New York City **</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Your Role</b></h2><br>
</div><div><div><br>
<br>
<ul><li>Push boundaries of what is possible with AI (Traditional AI, Gen AI, Agentic AI)
</li><li>Stay current on AI technology trends and evangelize
</li><li>Evaluate and pilot third-party AI solutions for fit, scalability, and business value
</li><li>Prototype solutions that inform future productization
</li><li>Collaborate on data preparation and synthetic data generation strategies to support experimentation
</li><li>**Validate AI (model) performance, safety and operational readiness before hand-off to production teams**
</li><li>Contribute to AI system architecture
</li><li>**Deploy and manage AI workflows in cloud environments**
</li><li>Collaborate with AI Business Partners<br>
</li></ul><br>
<br>
</div></div></div><div><div><h2 class="jobSectionHeader"><b>Required Skill and Expereince</b></h2>
</div><div><div>**Programming &amp; Frameworks - Python, APIs, ML frameworks, AI orchestration tools (LangChain, ADK etc)**
<br>
- **AI/ML systems - LLMs, embeddings, vector databases**
<br>
<ul><li>**Building and managing APIs and integrations**
</li><li>**Prompt Engineering**
</li><li>Model Evaluation &amp; Design
</li><li>AI Architecture Design
</li><li>Data preparation &amp; generation
</li><li>Cloud services (AWS, GCP)'</li></ul></div>
</div></div></div><p>The base compensation range for this role in the posted location is: $110,000 -$ 170,000</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><br>
<p></p><p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><br>
<p></p><p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p>Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law</p><br>
<p></p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div><p></p>

Senior Data Scientist

American Modern Insurance Group

<div><div><b>Location</b> Amelia, United States <b>Job type</b> Full-Time <b>Work mode</b> Remote <b>Job level</b> Professional <b>Job ID</b> 12724 <b>Company</b> American Modern Insurance Group <b>Employment type</b> Regular <b>Area of expertise</b> Data, BI &amp; Analytics</div></div><p></p>
<br><div><b>All locations</b> Amelia, United States; Akron, United States; Carmel, United States; Cincinnati, United States; Cleveland, United States; Columbia, United States; Dayton, United States; Durham, United States; Indianapolis, United States;
<div><div><div>Drive the future of AI‑powered decision‑making by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes.</div></div><p></p><p>
American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property &ndash; such as manufactured homes and specialty dwellings &ndash; and the recreational market, including boats, personal watercraft, classic cars, and more. We provide specialty product solutions that cover what the competition often can&rsquo;t. We write admitted products in all 50 states and have a premium volume of $2.2 billion.</p><p></p><p>
Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of Munich Re&rsquo;s Global Specialty Insurance division. Our employees receive boundless opportunity to grow their careers and make a difference every day - all in a flexible environment that helps them succeed both at work and at home.</p><p></p><p>
Join our innovative Predictive Analytics team as a Principal Data Scientist and play a key role in shaping and executing our Artificial Intelligence and Machine Learning (AI/ML) strategy. As a member of the AI/ML Predictive Analytics team, you will be responsible for driving the development and deployment of cutting-edge AI/ML models that drive business growth, inform strategic initiatives, and revolutionize business decision-making across domains in the organization. You will have the opportunity to make a significant impact on our organization, develop and implement new analytics methodologies and best practices, and mentor and guide junior team members. We are looking for a data scientist with proven expertise in executing AI/ML strategy, developing and deploying complex models, and driving business outcomes through data-driven decision-making.</p><p></p><p><b>
Purpose:</b></p><p>
Use data and statistical analysis to drive business decisions and target improved results across various functional areas.</p><p></p><p><b>
Roles &amp; Responsibilities:</b></p><ul><li>
Execute AI/ML strategy, with the ability to contribute to strategy development as well.</li><li>
Develop, deploy, monitor, and maintain predictive models using Python, with a focus on AI and machine learning techniques to drive business outcomes.</li><li>
Utilize expertise in Large Language Models (LLMs) to develop innovative solutions for natural language processing and text analysis tasks.</li><li>
Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.</li><li>
Work closely with data engineering teams to design and implement data pipelines and architectures.</li><li>
Prepare and complete predictive analytics analysis and modeling with general guidance on very complex projects.</li><li>
Participate in the development of predictive analytics and modeling presentations and present results/topics to stakeholders and management as requested.</li><li>
Concentrate on loosely defined problems which require application of creative approaches. Contribute to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and profitability.</li><li>
Complete required data preparation, including data input with guidance. Identify data anomalies and seek guidance on necessary adjustments.</li><li>
Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques.</li><li>
Document and communicate assumptions, results, and alternatives to team members and internal customers with guidance.</li><li>
Create and maintain modeling best practices and new techniques in coordination with internal and external business partners.</li><li>
Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand stakeholders&rsquo; requests and hidden issues and explain possible solutions in their language.</li><li>
Schedule and prioritize workload demands. Maintain very good organization skills. Complete technical peer reviews as needed.</li><li>
Maintain strong interpersonal skills - listen deeply, ask correct questions, take notes, complete professional oral and written business communications (including email communications), presentations, and build business relationships in order to better understand insurance company processes and functions. Established relationships with multiple areas of interaction.</li></ul><p></p><p><b>
Required Technical Skills</b></p><ul><li>
Expert-level proficiency in Python, with experience in popular libraries such as NumPy, pandas, and scikit-learn.</li><li>
Deep understanding of and experience building AI and machine learning models, as well as experience deploying GenAI solutions.</li><li>
Experience with big data platforms is highly desirable.</li><li>
Familiarity with cloud-based data platforms, such as AWS or Azure, is a plus.</li><li>
Strong understanding of data structures, algorithms, and software design patterns.</li><li>
Experience working in an agile team environment, with familiarity with Scrum or Kanban methodologies.</li><li>
Strong commitment to testing, validation, and continuous improvement of models and workflows.</li><li>
Experience with MLflow, including model management, versioning, and deployment.</li></ul><p></p><p><b>
Skills / Knowledge / Experience:</b></p><ul><li>
Develop and project manage modeling projects and statistical analyses.</li><li>
Effectively communicate results to business partners and help drive business decisions.</li><li>
Participate in creation and discussion of best practices and propose new techniques.</li><li>
Mentor junior team members.</li><li>
Six (6) or more years of data science/predictive analytics experience in insurance or Eight (8+) or more years predictive modeling experience in another industry.</li><li>
Please note, this is not a managerial role but has the potential to develop into one over time.</li></ul><p></p><p><b>
Education, Certifications &amp; Designations:</b></p><ul><li>
Master&rsquo;s degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and Operation Research double major</li></ul><p></p><p>
We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits:</p><ul><li>
Two options for your health insurance plan (PPO or High Deductible)</li><li>
Prescription drug coverage (included in your health insurance plan)</li><li>
Vision and dental insurance plans</li><li>
Short and Long Term Disability coverage</li><li>
Supplemental Life and AD&amp;D plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children)</li><li>
Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity)</li></ul><p></p><p>
In addition to the above insurance offerings, our employees also enjoy:</p><p></p><ul><li>
A robust 401k plan with up to a 5% employer match</li><li>
A retirement savings plan that is 100% company funded</li><li>
Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries</li><li>
Eligibility to receive a yearly bonus as a Munich Re employee</li><li>
A variety of health and wellness programs provided at no cost</li><li>
A hybrid environment that gives you a choice in where and how you get work done</li><li>
A corporately subsidized on-site cafeteria as well as a We Proudly Serve coffee shop</li><li>
An on-site complimentary workout facility as well as walking trails on campus grounds</li><li>
On-site wellness center complete with nurse practitioner</li><li>
Financial assistance for adoptions and infertility treatment</li><li>
Paid time off for eligible family care needs</li><li>
Tuition assistance and educational achievement bonuses</li><li>
Free parking</li><li>
A corporate matching gifts program that further enhances your charitable donation</li><li>
Paid time off to volunteer in your community</li></ul><p></p><p>
At American Modern, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.</p><p></p><p>
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p><p></p><p>
Applicants requiring employer sponsorship of a visa will not be considered for this position.</p><p></p><p>
Salary range: $150-170K base</p><p></p><p>
#LI-SF1</p></div></div><p></p>
<br><div><div><div><h2 class="jobSectionHeader"><b>Your Benefits</b></h2>
<p>With us, you get more than just an exciting job. Enjoy a wide range of employee benefits tailored to your wellbeing and development. Please note that regional differences may apply.</p>
</div><div><div><p>Competitive Salary</p>
<p>We provide fair and competitive compensation that reflects your performance and commitment.</p>
</div><div><p>Company performance-based Incentives</p>
<p>In addition to your salary, our variable compensation approach allows you to share in Munich Re's success.</p>
</div><div><p>Recognition and Special Rewards</p>
<p>We recognise outstanding individual contributions through a variety of targeted rewards and incentives.</p>
</div><div><p>Retirement Planning</p>
<p>We support your long-term financial wellbeing with retirement solutions aligned with local regulations.</p>
</div><div><p>Inclusive Workplace Culture</p>
<p>We foster a respectful, inclusive, and values-driven environment.</p>
</div><div><p>Learning &amp; Development</p>
<p>We offer tailored learning opportunities with a strong focus on core skills and business-critical knowledge.</p>
</div><div><p>Work-Life-Balance</p>
<p>Supporting your ability to balance family, leisure, and your career.</p>
</div><div><p>Health &amp; Wellbeing</p>
<p>We support your physical and mental health through a range of programs and activities in each location.</p></div></div></div></div>

AI Data Scientist

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Application deadline: May 12, 2026<br>
<br>
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.<br>
<br>
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You&rsquo;ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.<br>
<br>
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.<br>
<br>
Key job responsibilities<br>
As an experienced Senior AI/ML Consultant, you will be responsible for:
<br>
Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs<br>
<br>
Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services<br>
<br>
Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies<br>
<br>
Acting as a trusted advisor to customers on industry trends and emerging technologies<br>
<br>
Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts<br>
<br>
About the team<br>
About AWS:<br>
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Why AWS? Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture - Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship &amp; Career Growth - We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>5+ years of machine learning, statistical modeling, data mining, and analytics techniques experience</li><li>3+ years of customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies experience</li><li>4+ years of working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience</li><li>3+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies</li><li>Experience communicating technical concepts to diverse audiences in pre-sales environments</li><li>Experience building and operating a cloud-based architecture</li><li>Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CO, Denver - 153,600.00 - 207,800.00 USD annually<br>
USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually<br>
USA, IL, Chicago - 153,600.00 - 207,800.00 USD annually<br>
USA, NJ, Jersey City - 169,000.00 - 228,600.00 USD annually<br>
USA, NY, New York - 169,000.00 - 228,600.00 USD annually<br>
USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually<br>
USA, TX, Houston - 153,600.00 - 207,800.00 USD annually<br>
USA, VA, Herndon - 153,600.00 - 207,800.00 USD annually<br>
USA, WA, Bellevue - 153,600.00 - 207,800.00 USD annually<br>
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually</div><p></p>

Sr. Delivery Consultant - AI/ML, AWS Professional Services

MA'ADEN

<div><p><b>Job Purpose
</b></p><ul><li><div>The Lead Specialist, Data Science &amp; Analytics, acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across Maaden.
</div></li><li><div>The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
</div></li><li><div>Lead Specialist, Data Science &amp; Analytics is to analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems. By blending expertise in statistics, computer science, and business strategy, they not only analyze complex datasets but also build predictive models that improve operations and shape long-term decisions. With nearly every industry leaning on data today, the demand for skilled professionals continues to grow<br>
</div></li></ul><p></p><p><b>Key Accountabilities:
</b></p><p><b>1. Lead End-to-End Data Science Delivery
</b></p><ul><li>Developing, implementing and maintaining databases and data collection systems
</li><li>Own the full lifecycle of ML/AI initiatives - from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover.
</li><li>Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
</li><li>Performing statistical analysis to understand and interpret data insights
</li><li>Applying data mining techniques to identify patterns, trends, and relationships in large datasets
</li><li>Building predictive models and machine learning algorithms to forecast future outcomes
</li><li>Creating clear data visualizations and reports to communicate findings to stakeholders
</li><li>Working with cross-functional teams to understand business needs and provide data-driven solutions
</li><li>Design and maintain reliable data pipelines and models in partnership with data engineering to ensure data is accurate, timely, and trustworthy for downstream use
</li><li><div>Ensuring data security and compliance with relevant regulations
</div></li><li><div>Drive experimentation, model versioning, automated retraining, and continuous improvement.<br>
</div></li></ul><div></div><p><b>2. Translate Business Needs into AI/Analytics Solutions
</b></p><ul><li><div>Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions
</div></li><li><div>Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
</div></li><li><div>Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams.<br>
</div></li></ul><p></p><p><b>3. Industrialize AI/ML Models (ML Ops &amp; Architecture)
</b></p><ul><li>Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.
</li><li>Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance.
</li><li>Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins
</li>Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements<br>
<li>
</li></ul><p></p><p><b>4. Responsible AI, Quality &amp; Governance
</b></p><ul><li>Ensure compliance with Maaden&rsquo;s Responsible AI, data quality, and data governance frameworks.
</li><li>Promote reproducibility, documentation, lineage tracking, and auditability across all data science assets.
</li>Ensure transparency, explainability, and continuous model governance across production and enterprise environments<br>
<li>
</li></ul><p></p><p><b>5. Stakeholder Management &amp; Value Realization
</b></p><ul><li>Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization.
</li>Track value realization, adoption metrics, and operational impact to ensure measurable benefit.<br>
<li>
</li></ul><p></p><p><b>Minimum Qualification, Experience and Core Competencies:
</b></p><p><b>Minimum Qualifications:
</b></p><ul><li><p>Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.<br>
</p></li></ul><p></p><p><b>Minimum Experience:<br>
</b><br>
<br>
</p><ul><li><div><b>Minimum Experience:
</b></div></li><li><div>8 &ndash; 10 years&rsquo; experience in Data Science / Advanced Analytics with industrial, mining, or heavy-asset environments preferred. Including at least 2 years leading or mentoring analytics professionals
</div></li><li><div>Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
</div></li><li><div>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch , Azure, AWS) &ndash; Microsoft AI Factory
</div></li><li><div>Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.<br>
</div></li><li><br>
<b>Machine Learning &amp; Advanced Analytics
</b><ul><li>Hands-on experience developing and deploying <b>machine learning models </b>, including <b>time-series forecasting, predictive modeling, and optimization use cases
</b></li><li>Strong understanding of <b>model performance, validation, stability, and business impact
</b></li></ul></li><li><b>Generative AI &amp; AI Agents
</b><ul><li>Practical experience with <b>Generative AI solutions </b>, including <b>copilots, intelligent automation, and agent-based workflows
</b></li><li>Ability to embed GenAI capabilities into enterprise processes to improve decision-making and operational efficiency
<br>
<br>
Good to Have Capabilities
</li></ul></li><li><b>Data Engineering (IT + OT)
</b><ul><li>Experience designing and maintaining <b>data pipelines </b>across IT and OT environments
</li><li>Exposure to <b>sensor data, streaming / real-time data processing </b>, and industrial data sources
</li><li>Ability to collaborate with data engineering teams to ensure reliable, timely, and trusted data flows
</li></ul></li><li><b>MLOps / AgentOps
</b><ul><li>Experience in <b>model deployment and lifecycle management </b>, including:
<ul><li>Transition from model development to <b>production and scale
</b></li><li>Monitoring, retraining, versioning, and drift management
</li></ul></li><li>Familiarity with automation and operationalization of ML/AI workloads
<br>
<br>
Preferred Experience &amp; Platforms
</li></ul></li><li><b>Cloud &amp; Analytics Platforms
</b><ul><li>Experience working with enterprise cloud platforms, preferably:
<ul><li><b>Microsoft Azure Data Platform
</b></li><li><b>Databricks AI Platform
</b></li><li><b>Microsoft AI Foundry / Microsoft AI Factory
</b></li></ul></li>Understanding of cloud-native architectures for scalable analytics and AI solutions<br>
<li>
</li></ul></li></ul><div></div><p><b>Core Competencies:
</b></p><ul><li><p><b>Model Accuracy &amp; Reliability: </b>Performance, drift stability, and operational uptime.
</p></li><li><p><b>Adoption &amp; Business Impact: </b>Value realized, user adoption, integration success.
</p></li><li><p><b>Delivery Velocity: </b>Timeliness of development cycles and deployment readiness.
</p></li><li><p><b>Compliance &amp; Quality: </b>Alignment with Responsible AI, governance, and documentation standards.</p></li></ul></div><p></p>

Principal Specialist, Data Science & Analytics

Binary Brix 

<p>Job Description:</p><p><b>Growth Specialist (IT Services &amp; SaaS)Role Title: Growth Specialist / Growth LeadDepartment: Growth &amp; Revenue</b></p><p><b>Work Model: Hybrid (depending on location)</b></p><p><b>Experience Required: 2&ndash;5+ years in growth, marketing, or revenue-focused roles in IT services, SaaS, or tech consulting companies.</b></p><p><b>ROLE PURPOSE</b></p><p>The Growth Specialist will own and scale Aegasis Labs&rsquo; sales and marketing engine. This includes pipeline growth, inbound + outbound campaigns, performance marketing, content strategy, partnerships, and revenue optimization. The ideal candidate deeply understands <b>IT services</b>, <b>AI &amp; engineering solutions</b>, <b>SaaS</b> funnels, and how to implement systems that consistently drive qualified leads.</p><p><b>KEY RESPONSIBILITIESSales &amp; Pipeline Growth</b></p><ul><li>Build and execute a complete <b>end-to-end growth strategy</b> (top of funnel &rarr; SQL &rarr; closed deals).</li><li>Design and manage outbound systems: cold email, cold calling, LinkedIn, lead scraping.</li><li>Optimize targeting for decision makers (CTOs, CEOs, Product Managers, Founders).</li><li>Build scalable outbound campaigns aligned with ICPs for AI, ML, SaaS &amp; engineering services.</li></ul><p><b>Marketing Leadership</b></p><ul><li>Own the full marketing roadmap: messaging, positioning, branding, content.</li><li>Develop and manage <b>SEO, social media, email marketing, and paid media campaigns</b>.</li><li>Lead website optimization and CRO initiatives to increase demo requests.</li><li>Create compelling case studies, landing pages, and digital assets.</li></ul><p><b>Content &amp; Community</b></p><ul><li>Build thought-leadership content (LinkedIn, X, blog, newsletter).</li><li>Develop social media systems focused on founders, tech leaders &amp; AI community.</li><li>Manage influencer partnerships, forums, niche groups &amp; communities.</li></ul><p><b>Analytics, Systems &amp; Automation</b></p><ul><li>Use data to track growth performance across channels.</li><li>Build automated workflows using HubSpot, Apollo, GoHighLevel, Zapier, etc.</li><li>Implement dashboards to monitor KPIs weekly, monthly, and quarterly.</li></ul><p><b>Partnerships &amp; Expansion</b></p><ul><li>Identify and close partnerships with agencies, consultants, and corporate alliances.</li><li>Explore and validate new service lines, geographies, and revenue opportunities.</li></ul><p><b>KPIs</b></p><ul><li><b>SQLs per week:</b> 10+</li><li><b>Pipeline value growth:</b> Monthly increase</li><li><b>Website demo conversion rate</b></li><li><b>Lead-to-SQL conversion %</b></li><li><b>Organic traffic &amp; ranking growth</b></li><li><b>Cost per lead &amp; cost per acquisition</b></li><li><b>Revenue contribution from growth initiatives</b></li></ul><p><b>REQUIRED SKILLS</b></p><ul><li>Proven experience scaling IT services, SaaS, or software companies.</li><li>Deep understanding of B2B funnels, outbound systems &amp; demand generation.</li><li>Strong analytical background with tools: GA4, Search Console, HubSpot, Apollo, LinkedIn Sales Navigator.</li><li>Excellent copywriting and messaging skills.</li><li>Strong understanding of AI services, ML engineering, CV, NLP &mdash; preferably experience marketing tech products.</li><li>Hands-on ability to execute strategy (not just manage).</li><li>Strong ownership mindset and ability to work independently.</li></ul><p><b>IDEAL CANDIDATE TRAITS</b></p><ul><li>Data-driven, KPI-focused, fast executor.</li><li>Highly entrepreneurial mindset.</li><li>Creative problem-solver with strong communication skills.</li><li>Comfortable working with minimal structure and growing systems from scratch.</li><li>Thrives in fast-paced environments.</li></ul><p>Pay: Rs150,000.00 - Rs200,000.00 per hour</p><p>Work Location: In person</p>

Growth Marketer / Senior Social Media Strategist

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