nlp scientist

NLP PEOPLE

<p>NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence</p><p>The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.</p><p>The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated.</p><p>Job Responsibilities<br>• Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community<br>• Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems<br>• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production<br>• Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business</p><p>Required qualifications, capabilities, and skills<br>• Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods<br>• PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field<br>• Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)<br>• Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals<br>• Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.<br>• Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments<br>• Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems</p><p>Preferred qualifications, capabilities, and skills<br>• Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development<br>• Knowledge in search/ranking, Reinforcement Learning or Meta Learning<br>• Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code<br>• Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal</p><p>About MLCOE<br>The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning</p><p>For more information about the MLCOE, please visit To learn about how we're using AI/ML to drive transformational change, please read this blog: </p><p>The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.</p> Company: <p>Chase- Candidate Experience page</p> Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): <p>Senior (5+ years of experience)</p><p>Tagged as: Big Data , Industry , Natural Language Processing , NLP , Speech Recognition , United Kingdom </p><img src="https://www.jobg8.com/Tracking.aspx?Ju8ovp2JVQHH5b0Wvhj8gtSh3v%2bbyQjen" width="0" height="0" />

NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence

Intuit

<div><p>Category Data</p>
<p>Location Bangalore, India
</p><p>Job ID 17065</p></div>
<br><div><div><p>Company Overview</p>
<div><p>Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.</p>
</div></div><div><p>Job Overview</p>
<p>Come join the Intuit Data Exchange (IDX) team as part of the Intuit as a Principal Scientist. We are looking for creative problem solvers with a passion for innovation to join our team and revolutionize the way the world does business. You will be deploying AI/GenAI solutions to simplify acquisition of data and documents from &lsquo;000s of providers WW while maintaining trust. The structured data acquired is used in workflows from Personal Finance, Taxes and running businesses, thus powering prosperity around the world. Your job includes the following:</p><p><b><br>
Responsibilities</b></p><div><ul><li>
 Drives architecture decisions, influences and contributes to ML platform architecture and strategy
 </li></ul></div><div><ul><li>Creates a multi-year vision that connects product strategy with technology strategy
 </li></ul></div><div><ul><li>Practices excellent leadership and communication skills to influence and lead teams and evangelize AI across the organization and the larger company
 </li></ul></div><div><ul><li>Leads team&rsquo;s work in one or more of ML, NLP, Statistics, or Optimization, and performs hands-on work in these domains.
 </li></ul></div><div><ul><li>Weighs ROI considerations of general and tailored capabilities for projects in the team</li></ul></div><div>
 <ul><li>Creates new capabilities and technology shifts that solve critical business problems</li></ul></div><div>
 <ul><li>Pushes the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends
 </li></ul></div><div><ul><li>Influences business leaders and architects around the company to shape mission-critical projects</li></ul></div><div>
 <ul><li>Leads team and partners to the successful delivery and integration of ML solutions</li></ul></div><div>
 <ul><li>Conducts design reviews, and holds teams to technical and operational rigor.
 </li></ul></div><div><ul><li>Acts as an advisor in overseeing and mentoring the work of colleagues toward the building of a vibrant practice community</li></ul></div><p><b><br>
Qualifications</b></p><ul><li>
PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field or equivalent work experience
</li><li>Solid knowledge of statistical techniques</li><li>
 3+ years as either a lead in a data science role or a management position in data science
</li><li>Strong communication skills and proven experience as an influencer at the executive level
</li><li>Hands-on programming experience in one or more of: ML, NLP, Statistics, or Optimization
</li><li>6+ years&rsquo; experience manipulating large datasets and using databases (e.g. R, SQL, S-Plus, etc.)
</li><li>6+ years&rsquo; experience with a general-purpose programming language (e.g. Python, Scala, etc.)</li></ul><p><b>
Strongly Preferred:</b></p><ul><li>
 PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
</li><li>Expert knowledge and hands-on experience in one or more of: ML, NLP, Statistics, or Optimization
</li><li>Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns
</li><li>Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
</li><li>Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code
</li><li>Proven track record of influencing business leaders to shape mission-critical projects
</li><li>Proven track record of leading teams to successful delivery of ML solutions
</li><li>Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p></div></div><p></p>

Principal AI 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

Nykaa

<div>
 <p>
  <strong>
   About the Team:
  </strong>
  Join the dynamic Nykaa Data Science team as a Machine Learning Scientist II. In this role, you will contribute to analyzing data and developing machine learning models that enhance the relevance and ranking of our search platforms. You will work closely with cross-functional teams to gather performance metrics, evaluate search outcomes, and optimize the user experience on Nykaa's platform. This position offers the opportunity to collaborate in a fast-paced environment and make a significant impact on our search functionalities.
 </p>
 <p>
  What are we looking for ?
 </p>
 <p>
  <strong>
   Education
  </strong>
  :
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s Degree in Data Science, Computer Science, Statistics, or a related field from a reputable institution.
  </li>
 </ul>
 <p>
  <strong>
   Experience
  </strong>
  :
 </p>
 <ul>
  <li>
   3+ years of industry experience in Data Science and building Machine Learning models.
  </li>
  <li>
   Demonstrated experience in building and deploying machine learning models that handle large datasets.
  </li>
  <li>
   Experience in Search Data Science, Natural Language Processing (NLP) tasks, or Vector Search is a plus.
  </li>
 </ul>
 <p>
  <strong>
   Technical Skills
  </strong>
  :
 </p>
 <ul>
  <li>
   Strong foundational knowledge in Probability Theory, Statistics, and Machine Learning.
  </li>
  <li>
   Proficiency with machine learning languages and frameworks such as Python, Numpy, Pandas, Scikit-Learn, PySpark, TensorFlow/PyTorch, XGBoost/LightGBM.
  </li>
  <li>
   Understanding of A/B testing methodologies and experience in designing, implementing, and analyzing experiments to evaluate search algorithm performance.
  </li>
  <li>
   Familiarity with best practices throughout all stages of the Data Science lifecycle, including data preprocessing, model training, evaluation, deployment and monitoring.
  </li>
 </ul>
 <p>
  <strong>
   Soft Skills
  </strong>
  :
 </p>
 <ul>
  <li>
   Demonstrated ownership and ability to deliver results on data-driven projects.
  </li>
  <li>
   Capability to manage multiple priorities in a fast-paced environment.
  </li>
  <li>
   Technical aptitude to quickly gr/asp complex technical issues and communicate effectively with both technical and non-technical teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Search Optimization
   </strong>
   : Analyze user behavior insights in search and develop high-quality machine learning algorithms to improve search relevance and ranking.
  </li>
  <li>
   <strong>
    Model Development
   </strong>
   : Lead and mentor other machine learning scientists to promote learning, growth, and success within the team.
  </li>
  <li>
   <strong>
    Continuous Learning:
   </strong>
   Stay updated on advancements in the field of Machine Learning and apply these learnings to improve search algorithms.
  </li>
  <li>
   <strong>
    Customer Focus
   </strong>
   : Understand customer needs and leverage technology to enhance the search experience on Nykaa&rsquo;s platform.
  </li>
  <li>
   <strong>
    Documentation and Reporting
   </strong>
   : Document models, experiments, and processes. Present findings and insights to stakeholders to inform decision-making.
  </li>
 </ul>
 <p>
 </p>
</div>


ML Scientist II - Search

Hays

<div>
 <p>
  <strong>
   Location:
  </strong>
  Abu Dhabi, United Arab Emirates
 </p>
 <p>
  <strong>
   Industry:
  </strong>
  Quantitative Research
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a highly motivated and experienced
  <strong>
   Lead Data Scientist
  </strong>
  to head our data science team in Abu Dhabi.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  As Lead Data Scientist, you will be responsible for defining and implementing advanced data science solutions, leading a team of 10 professionals. This role requires strong technical expertise, strategic leadership, and hands-on involvement in developing machine learning architectures and models.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Provide technical leadership to a team of data scientists and machine learning engineers.
  </li>
  <li>
   Design and implement data solutions for applications in BFSI, quantitative research, and asset management.
  </li>
  <li>
   Develop and optimize ML models, including LLMs and NLP pipelines, in multi-GPU environments.
  </li>
  <li>
   Define scalable and robust architectures for data processing and predictive modeling.
  </li>
  <li>
   Act as the team&rsquo;s technical reference, promoting best practices and continuous innovation.
  </li>
  <li>
   Communicate technical insights clearly to both technical and non-technical stakeholders.
  </li>
  <li>
   Collaborate with cross-functional teams to integrate data capabilities into products and workflows.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We&rsquo;re Looking For:
  </strong>
 </p>
 <ul>
  <li>
   7+ years of experience in applied data science within BFSI, quantitative research, or asset management.
  </li>
  <li>
   Proven experience in technical leadership and team management.
  </li>
  <li>
   Strong expertise in Machine Learning, LLMs, NLP, and foundational models.
  </li>
  <li>
   Hands-on experience with Python, TensorFlow, PyTorch, Scikit-learn, among others.
  </li>
  <li>
   Ability to work hands-on in complex technical environments.
  </li>
  <li>
   Excellent communication skills in English (written and verbal).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Academic Background:
  </strong>
 </p>
 <ul>
  <li>
   Master&rsquo;s or PhD in relevant fields, preferably from top-tier universities (Ivy League, Oxbridge, ETH, etc.)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We Offer:
  </strong>
 </p>
 <ul>
  <li>
   Competitive, tax-free salary.
  </li>
  <li>
   Visa sponsorship (if needed).
  </li>
  <li>
   Health insurance for you and your family.
  </li>
  <li>
   Annual return ticket to your home country.
  </li>
 </ul>
 <p>
 </p>
</div>


Lead Data Scientist

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

Inception

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Inception is seeking a highly proficient and accomplished Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 <br/>
 <br/>
 The opportunity
 <br/>
 <br/>
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 <br/>
 <br/>
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Your key responsibilities
 <br/>
 <br/>
 In the Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 <br/>
 <br/>
 <ul>
  <li>
   Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
  </li>
  <li>
   Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
  </li>
  <li>
   Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
  </li>
  <li>
   Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
  </li>
  <li>
   Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
  </li>
  <li>
   Provide pre-sales and post-sales technical support to the business development team.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Skills and attributes for success
 <br/>
 <br/>
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 <br/>
 <br/>
 To qualify, you must have
 <br/>
 <br/>
 <ul>
  <li>
   M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
  </li>
  <li>
   Minimum 6 years of experience in developing AI algorithms for various modalities
  </li>
  <li>
   Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
   <br/>
   <br/>
  </li>
 </ul>
 Ideally, you&rsquo;ll also need
 <br/>
 <br/>
 <ul>
  <li>
   A highly curious and inquisitive approach to problem-solving
  </li>
  <li>
   In-depth knowledge of the latest developments in AI and machine learning
  </li>
  <li>
   Excellent communication skills
   <br/>
   <br/>
  </li>
 </ul>
 What we look for
 <br/>
 <br/>
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 <br/>
 <br/>
 What working at Inception offers
 <br/>
 <br/>
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 <br/>
 <br/>
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 <br/>
 <br/>
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 <br/>
 <br/>
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 <br/>
 <br/>
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>


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