product applications scientist

Microsoft

<div></div><div><h1 class="jobSectionHeader"><b>Principal Applied Scientist</b></h1><div><div><p>
Noida, Uttar Pradesh, India</p></div></div><p></p><div><div><div><div><br>
Date posted</div><div><b>
Oct 16, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1894344</b></div></div></div><div><div><div>
Work site</div><div><b>
3 days / week in-office</b></div></div></div><div><div><div>
Travel</div><div><b>
0-25</b><b> </b><b>%</b></div></div></div><div><div><div>
Role type</div><div><b>
Individual Contributor</b></div></div></div><div><div><div>
Profession</div><div><b>
Research, Applied, &amp; Data Sciences</b></div></div></div><div><div><div>
Discipline</div><div><b>
Applied Sciences</b></div></div></div><div><div><div>
Employment type</div><div><b>
Full-Time</b></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>
Overview</b></h3><div><div>
Are you passionate about creating innovative solutions that empower users to achieve more with Office applications? Do you have a strong background in natural language processing, generative AI, and engineering? If so, we are looking for a <b>Principal Applied Scientist</b> to join our team of data and applied science engineers working at the intersection of generative AI and engineering for Office. In this role, you will drive cutting-edge projects, contribute to the Copilot ecosystem, and help shape the Agentic future with one of the most widely used software products in the world.</div><div><br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><div><b>
Required Qualifications:</b></div><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
<ul><li>OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
</li><li>OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
</li><li>OR equivalent experience.</li></ul></li><li>
6+ years of industry experience in applied machine learning or data science roles.</li><li>
Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow). Experience with NLP, generative models, or content understanding is highly desirable.</li><li>
Demonstrated ability to tackle open-ended problems and deliver practical, scalable solutions.</li><li>
Solid written and verbal communication skills. Ability to explain complex technical concepts to non-technical stakeholders.</li></ul><div><b>
Preferred Qualifications:</b></div><div><ul><li>
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
<ul><li>OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
</li><li>OR equivalent experience.</li></ul></li><li>
5+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).</li><li>
Hands-on experience with modern LLM evaluation techniques, including LLM-as-a-Judge, agentic evaluations, and RAG assessments.</li><li>
3+ years experience developing and deploying large language models (LLMs), including agentic systems, supervised fine-tuning, and Reinforcement Learning (RLHF)</li><li>
3+ years experience designing, implementing, and optimizing Retrieval-Augmented Generation (RAG) pipelines and advanced context engineering.</li><li>
Experience contributing to research publications, patents, or open-source projects.</li><li>
Hands-on experience deploying ML models in production environments.</li><li>
Familiarity with the full product lifecycle, from ideation to deployment and iteration.</li></ul></div></div></div></div><div></div><div><div><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><div><ul><li>
Applied Research &amp; Development: Design and implement machine learning models and algorithms that improve search, summarization, and content understanding in Office applications. Stay current with advancements in NLP and generative AI to inform product innovation.</li><li>
Model Development &amp; Deployment: Build and optimize ML/DL models using frameworks like PyTorch or TensorFlow. Contribute to the deployment of models in production environments, ensuring scalability and performance.</li><li>
Cross-Functional Collaboration: Work closely with engineering, product, and research teams to define goals, align on priorities, and deliver impactful features. Translate business needs into technical solutions.</li><li>
Experimentation &amp; Evaluation: Conduct experiments to evaluate model performance, analyze results, and iterate on solutions. Use data-driven insights to improve precision, recall, and user satisfaction.</li><li>
Innovation &amp; Impact: Explore new signals, data sources, and modeling techniques to enhance intelligent systems. Contribute to the evolution of the Copilot ecosystem and agentic experiences in Office.</li></ul></div></div></div></div><div></div><div><div><div>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</div></div><div><div><div>
&#60116;</div>Industry leading healthcare</div><div><div>
&#59326;</div>Educational resources</div><div><div>
&#59628;</div>Discounts on products and services</div><div><div>
&#60157;</div>Savings and investments</div><div><div>
&#63586;</div>Maternity and paternity leave</div><div><div>
&#59927;</div>Generous time away</div><div><div>
&#60241;</div>Giving programs</div><div><div>
&#61396;</div>Opportunities to network and connect</div></div></div><div></div><div><div><div>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div></div></div></div><p></p>

Principal Applied Scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br>
<br>
Key job responsibilities<br>
The Principal Applied Scientist will drive transformative innovation in Sponsored Products and Brands (SPB) auction design across non-search surfaces, including product detail pages, the home page, and specialty stores. This role will be pivotal in rethinking how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. The key responsibilities include but are not limited to:<br>
<br>
Auction Mechanics and Optimization: The Principal Scientist will reimagine auction mechanisms to holistically consider business drivers and shopper needs. This involves developing new auction functions that considers ad relevance, order product sales, ads revenue, cost-to-serve, and advertiser demand, while remaining sensitive to seasonality, holidays, and bespoke shopping experiences (e.g., premium or grocery shopping). The scientist will entail the design and testing of auction models and simulations to improve multiple objectives. Specifically, they will estimate how different auction parameters perform under varying shopper cohorts (e.g., first-time versus repeat shoppers), product categories, seller types (e.g., vendors versus sellers), and regional demand profiles, setting the foundation for adaptive auction strategies that maximize value for both shoppers and advertisers.<br>
<br>
Ad Inventory Management from a Customer-Centric Perspective: The Principal Scientist will lead initiatives to redefine how we manage ad inventory allocation across non-search pages, focusing on how the amount of ads shown and how ads content blend with organic recommendation align with the intent and needs of shoppers in various contexts. Leveraging large-scale machine learning (ML) and large language models (LLMs), the scientist will design, prototype, and iterate models that predict, measure, and improve the efficiency and effectiveness of ad inventory allocation that consistently delivers a clear customer value proposition.<br>
<br>
Advancing Scientific and Technical Capabilities: As a senior leader, the Principal Scientist will play a critical role in elevating the team&rsquo;s scientific and technical rigor, identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. They will establish a long-term vision for continued scientific innovation, setting strategic goals to future-proof the organization&rsquo;s technical stacks and ML/LLM frameworks to support new and emerging business objectives. Additionally, the scientist will mentor and guide junior scientists and engineers, fostering a culture of excellence and continuous learning to enhance the organization&rsquo;s ability to solve complex problems in advertising science.<br>
<br>
Through his/her work, the Principal Applied Scientist will directly impact key business metrics by improving ad relevance and auction efficiency, ultimately contributing to revenue growth, improved customer satisfaction, and differentiated shopper experiences.<br>
<br>
About the team<br>
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of hands-on work in predictive modeling and analysis experience</li><li>PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field</li><li>Experience working in predictive modeling and analysis</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>10+ years of relevant work in industry or academia experience</li><li>Knowledge of problem solving, algorithm design and complexity analysis</li><li>Experience creating novel algorithms and advancing the state of the art</li><li>Have peer-reviewed scientific contributions in premier journals and conferences</li><li>Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives</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>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Principal Applied Scientist, Sponsored Products and Brands Off-Search

Medispec (I) Ltd

<p><b>Job description</b></p><p>Medispec is seeking a Field Application Scientist (FAS) to provide expert-level training, support, and application optimization for our advanced range of instruments, including Surface Plasmon Resonance (SPR), Flow Cytometers, Seahorse XF Analyzers, Imaging &amp; Multimode Microplate Readers (MMR), and iCIEF systems.</p><p>This role is ideal for professionals who are passionate about cutting-edge scientific instrumentation, problem-solving, and working closely with researchers, scientists, and sales teams to drive innovation in research and diagnostics.</p><p>Role and Responsibilities</p><p>Conduct on-site training and optimization for end-users and the sales team on advanced scientific instruments.</p><p>Provide scientific and technical support to customers, sales teams, and product management.</p><p>Develop expert-level proficiency in instrument software and stay updated on emerging assays.</p><p>Lead customer demonstrations, optimizing experimental workflows and troubleshooting assays.</p><p>Assist in data generation for Application Notes on new and emerging applications.</p><p>Represent Medispec at industry conferences, vendor shows, and scientific seminars.</p><p>Maintain detailed reports in CRM systems to track customer interactions, training sessions, and field activities.</p><p>Qualifications and Experience</p><p>Education and Experience:</p><p>Advanced degree in Molecular Biology, Biochemistry, or a related field.</p><p>Minimum two years of experience in an imaging core lab, flow cytometry lab, or high-content screening (HCS) environment.</p><p>Technical Skills:</p><p>Expertise in Flow Cytometers, Microscopy, Imaging, and HCS instrumentation.</p><p>Strong knowledge of SPR, fluorescent imaging, widefield and confocal microscopy.</p><p>Experience with fluorescence and luminescence-based assays (TRF, FRET, AlphaScreen, FP, etc.).</p><p>Proficiency in image analysis software (ImageJ, CellProfiler, or similar).</p><p>Strong troubleshooting skills for instrumentation and assay optimization.</p><p>Advanced computer and data analysis skills, with experience in LIMS preferred.</p><p>Travel Requirements: Willingness to travel up to 50% for customer training and support.</p><p>Job Type: Full-time</p><p>Pay: &#8377;30,000.00 - &#8377;80,000.00 per month</p><p>Benefits:</p><ul><li>Health insurance</li></ul><p>Work Location: In person</p>

Field Application Scientist

<div><div><div><div><div><div><div><div><div>Company Overview</div></div></div></div></div></div></div></div>
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&amp;D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world&rsquo;s leading technology providers to accelerate the delivery of tomorrow&rsquo;s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.<div></div><div><div><div><div><div><div><div><div>
Group/Division</div></div></div></div></div></div></div></div>
With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA&rsquo;s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The Broadband Plasma Division (BBP) provides market-leading patterned wafer optical inspection systems for leading-edge IC manufacturing. Logic, foundry, and memory customers depend on BBP products to detect yield-critical defects for process debug and excursion monitoring at advanced process nodes. BBP flagship products include the 29xx and 39xx series which leverage Broadband Plasma technology to capture a wide range of defects with ultimate sensitivity at the optical inspection speeds needed for inline defect monitoring.<div></div><div>
Job Description/Preferred Qualifications</div><div>
Application Development Engineer</div><div></div><div>
Responsibilities:</div><div></div><ul><li>
Customer support: Product value demonstration during beta testing, Head-to-Heads (H2H) and tools in the ramp phase, thereby enabling product penetration/adoption at world-wide customers. This includes-investigating semiconductor manufacturing yield issues and providing inspection solutions; creating &amp; sharing product value statements and use-cases with engineering, marketing and sales groups; training customers and other applications engineers.</li><li>
Product Demonstration: Provide specific product demonstrations on all aspects of highly complex products to customers and assess potential applications to meet customer needs</li><li>
Product Characterization: Work on test plan development and execute detailed characterization of the tool/algorithm performance and provides clear feedback to the Engineering teams for product improvement, especially during Alpha/Beta tests.</li><li>
Problem Diagnosis/Troubleshooting: Respond to customer requests and perform routine to moderately complex problem diagnosis and problem resolution.</li><li>
Customer Relationship: Interacts with customers to educate and coordinate activities. Good working knowledge of customer use case and is expected to understand customer needs and improve customer relations.</li><li>
Training: Conduct customer product demonstrations and technical training including on-site training of Field Applications Engineers and end users.</li><li>
Documentation: Document all test results and lessons learned in BKMs (Best Known Methods), training documents, Demo reports, or, Alpha/Beta test reports and transfer product knowledge to Field Applications teams.</li><li>
Presentation/Communication Skills: Generate demo and test reports and strong presentation skills for internal and customer review.</li></ul><div></div><div>
Requirements:</div><div></div><ul><li>
We are looking for high energy, self-driven and motivated engineers who are interested in working in High Tech. The semiconductor space is a fast paced, high stress environment that gives applications engineers a lot of autonomy to work and drive projects on their own. Ideal candidates appreciate the opportunity to have high levels of accountability, working well with limited supervision and thrive in a work environment where they can drive projects on their own.</li><li>
Candidate must have Master&rsquo;s or bachelor's degree in Engineering, Physics, Material Science, or related fields.</li><li>
Must have excellent oral and written communication, organizational, analytical, and interpersonal skills.</li><li>
Candidate must be a strong team player.</li></ul><ul><li>
&gt;50% travel will be required</li></ul><div></div><div>
Minimum Qualifications</div>
Master's Level Degree or work experience of 0 years , Bachelor's Level Degree or work experience of 1 years<div></div><div><i>
We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.</i></div><div></div><div><i>
KLA is proud to be an equal opportunity employer</i></div><div></div><div>
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched <div>KLA&rsquo;s Careers website</div> for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to <div>talent.acquisition@kla.com</div> to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.</div></div>

Engineer, Product Applications

Anika

<div>
 <strong>
  Position Scope:
  <br/>
  <br/>
 </strong>
 The Scientist is responsible for providing support to R&amp;D and Manufacturing teams under the supervision of the Director of R&amp;D. We are seeking a candidate who is energetic and can carry out development projects with minimal supervision. A hands-on scientist that is a problem-solver, who can provide imaginative solutions to issues as they arise.
 <br/>
 <br/>
 <strong>
  Specific Tactical Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and carry out experiments to investigate Chemical/Material/Biological properties of candidate materials for use in applications in Orthopedics and General Surgery
  </li>
  <li>
   Develop prototypes and processes at the lab-scale.
  </li>
  <li>
   Develop Analytical methods as necessary for product testing and process development.
  </li>
  <li>
   Provide technical support for manufacturing, marketing, and regulatory as needed.
  </li>
  <li>
   Prepare R&amp;D Reports and file Patent Applications for any inventions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Supervisory Responsibilities:
  <br/>
  <br/>
 </strong>
 None
 <br/>
 <br/>
 <strong>
  Required Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ph.D. in Biomaterials Science, Polymer Science, Pharmaceutical Science, Materials Science, Chemistry, or related field.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Experience, Knowledge, and Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with Polymer-based Biomaterials.
  </li>
  <li>
   Experience in Formulation of gels and emulsions.
  </li>
  <li>
   Knowledge of Hyaluronic Acid and/or Polysaccharide chemistry.
  </li>
  <li>
   Experience with Formulation of active ingredients in pharmaceutical applications.
  </li>
  <li>
   Experience with Chemical Synthesis, Analytical Chemistry methods, Physical/Rheological characterization, or Cell-based Biological assays.
  </li>
  <li>
   Experience with Quality System requirements for Class III Medical Devices.
  </li>
 </ul>
</div>


Scientist I

Varshney Infotech Pvt Ltd

<p><b>Gen AI Data Scientist</b></p><p><b>Location - Remote</b></p><p><b>Job Type - Contract (12 months)</b></p><p><b>Company - Varshney Infotech Pvt Ltd</b></p><p>We are looking for a Data Scientist/ Senior Data Scientist for our Advanced Analytics and Big Data</p><p>team. The scope of the team is to generate insights for data-driven decision in the domain of product</p><p>development using methods of systematical data analysis. The main task is to identify suitable</p><p>problem statements and develop sustainable solutions in an international and diverse environment.</p><p>Our methods are based on state of the art technology such as artificial intelligence, cloud computing</p><p>and agile software development in order to provide groundbreaking insights for vehicle development.</p><p>Responsibilities &amp;amp; Key Deliverables</p><p>Artificial Intelligence &amp;amp; Machine Learning</p><p>&#61623; Cognitive AI Applications &amp;amp; Chatbots</p><p>&#61623; Full stack development &amp;amp; product Management (Web, Mobile): Hardcore Full Stack Data</p><p>Scientist with end to end single-handed multi hat role to work on building an AI Conversation</p><p>Voice Chatbot, NLP, NLU, Multilingual, Speech Recognition, Text to Speech and Speech to</p><p>Text Conversion, Audio/Video analytics, Facial Recognition, Eye Tracking, ANN, CNN, RNN,</p><p>deep learning to solve the specific complex problem in Auto sector as single-handed doer or</p><p>in a small Data Science Team with full end to end ownership of delivery</p><p>&#61623; Machine Learning - Classification and prediction for intuitive results at scale. Strong</p><p>experience in Deep Learning Algorithms. Needs to have statistical, mathematical, predictive</p><p>modeling as well as business strategy skills to build the algorithms necessary to ask the right</p><p>questions and find the right answers.</p><p>Statistical Data Modelling, Big Data</p><p>&#61623; Recommend appropriate searching and indexing methods</p><p>&#61623; Use big data tools and platforms to access data and run models</p><p>&#61623; Big Data: Remove constraints on volume, variety and velocity of data</p><p>&#61623; Data Modelling: Identifying factors and relationships to make predictions for competitive</p><p>advantage</p><p>Data Management and Insight</p><p>&#61623; Data sourcing, integration, scaling and optimization. Ensure provenance and</p><p>&#61623; Clean data through statistical approaches, such as identifying outliers and transform data</p><p>into machine-readable formats</p><p>&#61623; Optimize performance of database queries/schema (basics such as adding indices etc.),</p><p>processing unstructured data (text, voice, image)</p><p>&#61623; Cleaning data, formatting data, Having the ability to query databases &amp;amp; perform statistical</p><p>analysis, build AI Data Modelling, validating the AI Model and deployment</p><p>Business Understanding and Project Management</p><p>&#61623; Use subject matter knowledge in the areas of business operations (HR, Manufacturing,</p><p>Supply Chain, Sales &amp;amp; Marketing etc.) in order to understanding business requirement</p><p>effectively. Manages projects effectively ensuring objectives, deadlines and budgets are met</p><p>by team members under own control.</p><p>Internal</p><p>General Experience</p><p>&#61623; 3 to 7 years of strong experience in applied AI ML &amp;amp; Deep Learning Data Science</p><p>&#61623; End to end single-handed hands-on full-stack Data Scientist / Sr. Data Scientist.</p><p>&#61623; Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-5 good Applied AI-</p><p>oriented Applied Research Projects &amp;amp; Industry Projects applications</p><p><b>Note - Candidates must have their own Laptop</b></p><p>Can share resume to <b>samiksha.kesharwani@varshneyinfotech.net or kesharwanisameeksha07@gmail.com</b></p><p>Job Types: Full-time, Contractual / Temporary, Freelance<br/>Contract length: 12 months</p><p>Pay: &#8377;150,000.00 - &#8377;250,000.00 per month</p><p>Benefits:</p><ul><li>Work from home</li></ul><p>Work Location: In person</p>

GEN AI Data Scientist

Kerry

<div>
 <p>
  <strong>
   About Kerry
  </strong>
 </p>
 <p>
  Kerry is the world's leading taste and nutrition company for the food, beverage and pharmaceutical industries. Every day we partner with customers to create healthier, tastier and more sustainable products that are consumed by billions of people across the world. Our vision is to be our customers' most valued partner, creating a world of sustainable nutrition. A career with Kerry offers you an opportunity to shape the future of food while providing you opportunities to explore and grow in a truly global environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What will you do?
  </strong>
 </p>
 <ul>
  <li>
   Conduct research including new product research and the development of foods.
  </li>
  <li>
   Develop new and improved methods and systems for food processing, production, quality control and packaging.
  </li>
  <li>
   Work in pilot plant and support production scale ups and commercialization's.
  </li>
  <li>
   Field customer requests both internal and external to satisfy project needs from a conceptual phase through commercialization and troubleshooting.
  </li>
  <li>
   &bull; Participate in ideation/brainstorming
  </li>
  <li>
   &bull; Develop gold standards while working with Culinary and subject matter experts (SMEs)
  </li>
  <li>
   &bull; Match competitive products
  </li>
  <li>
   &bull; Formulation Optimization
  </li>
  <li>
   &bull; Concept to Commercialization
  </li>
  <li>
   &bull; Execute internal processes
  </li>
  <li>
   &bull; Ability to understand and troubleshoot customer processes
  </li>
  <li>
   Be a strong part of customer facing team to deliver solutions that will &ldquo;Nourish and Delight&rdquo; our customers.
  </li>
  <li>
   Coordinate customer calls with sales/culinary representatives through presentations both technical and culinary based.
  </li>
  <li>
   Work with cross functional groups to optimize the strengths of Kerry and deliver the best Taste and Nutrition experience for our customers
  </li>
  <li>
   Develop and protect Intellectual Property by documenting research notes.
  </li>
  <li>
   Study methods to improve quality of foods such as flavor, color, texture, nutritional value, convenience, or physical, chemical, and microbiological composition of foods
  </li>
  <li>
   Complete project requests within the time frame required by the customer.
  </li>
  <li>
   Assist customers with technical issues that may arise.
  </li>
  <li>
   Travel to Kerry production plants and to customers.
  </li>
  <li>
   Must be able to taste and smell chemicals, flavors and food products.
  </li>
  <li>
   Must be able to stand for long periods of time in a laboratory setting and lift 50 pounds.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What will you need to be successful?
  </strong>
 </p>
 <ul>
  <li>
   BS/MS/PhD in Food Science/Engineering/related science or engineering field.
  </li>
  <li>
   3+ years of experience in Beverage Product Development.
  </li>
  <li>
   Knowledgeable about food chemistry, sensory, microbiology, food packaging systems and food engineering.
  </li>
  <li>
   Problem solving skills.
  </li>
  <li>
   Ability to work with cross-functional teams at multi levels within the organization.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Compensation Data
  </strong>
 </p>
 <p>
  <em>
   The typical hiring range for this role is $75,602 to $123,432 annually and is based on several factors including but not limited to education, work experience, certifications, location, etc. In addition to your pay, Kerry offers benefits such as a comprehensive benefits package, incentive and recognition programs, equity stock purchase and retirement contribution (all benefits and incentives are subject to eligibility requirements).
  </em>
 </p>
</div>


R&D Scientist / Beverage application

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