ai research scientist

Pozent Corporation

<div>
 Skill Sets: Deep Learning, GenAI, Agentic AI, Publications/Prototyping
 <br/>
 <br/>
 Role Overview
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 <br/>
 Develop and deploy deep learning, generative AI, and agentic AI solutions for drug discovery and pharmaceutical research.
 <strong>
  Onsite position
 </strong>
 .
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build deep learning models for molecular design, drug discovery, and protein analysis
  </li>
  <li>
   Develop generative AI systems for molecule generation and lead optimization
  </li>
  <li>
   Create agentic AI solutions to automate scientific workflows
  </li>
  <li>
   Prototype and deploy AI applications for pharmaceutical challenges
  </li>
  <li>
   Collaborate with chemists and biologists; publish/present findings
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Bioinformatics, Data Science, or related field
  </li>
  <li>
   Strong expertise in deep learning (PyTorch/TensorFlow)
  </li>
  <li>
   Hands-on experience with generative AI (LLMs, diffusion models, transformers)
  </li>
  <li>
   Experience building agentic AI systems and autonomous agents
  </li>
  <li>
   Track record of publications OR prototyping/deployment
  </li>
  <li>
   Proficiency in Python and ML frameworks
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in pharma/biotech or life sciences
  </li>
  <li>
   Knowledge of cheminformatics or molecular modeling
  </li>
  <li>
   Familiarity with GNNs and molecular representations
  </li>
 </ul>
</div>


AI Research Scientist

Peraton

<div><b>About Peraton</b><br>
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.<br>
<br>
<b>Program Overview</b><br>
<br>
<b>About The Role</b><br>
<br>
<b>**Position is Contingent Upon Award**</b><br>
<br>
Join Peraton in advancing the safety, efficiency, and modernization of the National Airspace System (NAS) through the FAA's Brand New Air Traffic Control System (BNATCS) contract. As a trusted partner to the Federal Aviation Administration, Peraton helps deliver the systems and services that keep our nation's skies safe and connected.<br>
<br>
We're looking for innovative professionals who thrive in mission-critical environments and are passionate about shaping the future of air traffic management. This is your chance to make an impact on one of the world's most vital transportation infrastructures, working alongside leaders in aviation, engineering, data science, and systems integration.<br>
<br>
At Peraton, you won't just support the mission - you'll define it.<br>
<br>
Join a team dedicated to protecting the safety and integrity of U.S. air travel. Peraton is seeking a AI Research Scientist to join our team of qualified, diverse individuals. The ideal candidate will influence national strategies and policies by guiding decisions on integrating next-generation technologies like Artificial Intelligence (AI), satellite navigation, and unmanned aircraft systems (UAS). Whether you're supporting safety validation efforts or leading teams on major FAA programs, your work will directly impact the millions of passengers and aviation professionals who rely on safe, efficient airspace operations every day. The AI Research Scientist will work with senior research scientists and managers to perform research and development of AI/ML technologies such as natural language processing and generative AI.<br>
<br>
The AI/ML Research Scientist will work with project leads and managers to perform research and development of AI/ML technologies, with primary focus on generative AI. Candidates are expected to work with R&amp;D teams to customize and apply developed technologies to address problems of interest to customers. Candidates are expected to possess ability and experience to perform cutting-edge AI/ML research under the supervision of managers.
<br>
<br>
<b>Qualifications</b><br>
<br>
<b>Required:</b>
<br>
<br>
<ul><li>U.S. Citizenship Required.
</li><li>Must have the ability to obtain / maintain a Public Trust clearance
</li><li>Bachelor's degree and 8+ years, Master's degree and 6+ years, or PhD and 3+ years in Engineering, Computer Science, Physics, or a related technical field of experience
</li><li>Demonstratable AI/ML research experience, academic research publications in peer-reviewed international AI/ML conferences are required, unless similar qualifications can be demonstrated
</li><li>Expertise in one or more programming languages: C, C++, Python, Javascript
</li><li>Hands-on development experience in AI/ML model building and tuning
</li><li>Hands-on development experience of agentic AI
</li><li>Demonstratable proficiency in working with state-of-the-art large language models at the API level (During interviews on MS Teams, candidates are expected to use VSCode to execute tasks through programmatic interactions with OpenAI tool/function calling API)
</li><li>Modern software development practices and toolsets (Git, CI/CD toolchains)
</li></ul><br>
<b>Desired:</b>
<br>
<br>
<ul><li>Machine learning libraries, such as TensorFlow, PyTorch, etc
</li><li>Anthropic's Model Context Protocol (MCP)
</li><li>End-to-end machine learning model and generative AI agent development experience
</li><li>Linux, containers such as Docker, and orchestration tools such as Kubernetes
</li><li>Hands-on AI/ML development experience in cloud environments, such as AWS Bedrock
</li><li>Full stack programming experience
</li><li>Azure cloud working experience
</li></ul><br>
<b>SCA / Union / Intern Rate or Range</b><br>
<br>
<b>Details</b><br>
<br>
Target Salary Range: $135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
<br>
<br>
<b>EEO:</b> Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.</div>

AI/ML Research Scientist

Brillio LLC

<div><h1 class="jobSectionHeader"><b>Principal Data Scientist - R01556906</b></h1>
<p></p><div><b>Principal Data Scientist</b></div><h6 class="jobSectionHeader"><b>
Primary Skills</b></h6><ul><li><b>
Agentic AI</b>, <b>Large Language Models (LLMs)</b>, and <b>enterprise-grade AI/ML systems</b>. The ideal candidate will lead the design, experimentation, and deployment of <b>autonomous, multi-agent AI systems</b> leveraging <b>LLMs</b>, <b>knowledge graphs</b>, and <b>reasoning frameworks</b>.
</li></ul><h6 class="jobSectionHeader"><b>Specialization</b></h6><ul><li>
Agentic AI and LLM with framework</li></ul><h6 class="jobSectionHeader"><b>
Job requirements</b></h6><ul><li>
Brillio is the partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Backed by Bain Capital private equity, and growing at nearly 60% YoY since its inception, Brillio is one of the fastest growing digital technology service providers. We help clients harness the transformative potential of the four superpowers of technology &ndash; cloud computing, internet of things (IoT), artificial intelligence (AI), and mobility. Born digital in 2014, we apply Customer Experience Solutions, Data Analytics and AI, Digital Infrastructure and Security, and Platform and Product Engineering expertise to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance.
</li><li>With delivery locations across the United States, Romania, Canada, Mexico, and India, our growing global workforce of over 6,000 Brillians blends the latest technology and design thinking with digital fluency to solve complex business problems and drive competitive differentiation for our clients. Brillio was awarded &lsquo;Great Place To Work&rsquo; in 2021 and 2022. Learn more www.Brillio.com</li></ul><div></div><div><br>
We are seeking a highly accomplished <b>Principal Data Scientist</b> with extensive experience in <b>Agentic AI</b>, <b>Large Language Models (LLMs)</b>, and <b>enterprise-grade AI/ML systems</b>. The ideal candidate will lead the design, experimentation, and deployment of <b>autonomous, multi-agent AI systems</b> leveraging <b>LLMs</b>, <b>knowledge graphs</b>, and <b>reasoning frameworks</b>. This is a strategic and hands-on role at the intersection of <b>data science, AI research, and engineering leadership</b>.</div><div></div><div><b><br>
Key Responsibilities</b></div><ul><li>
Lead the <b>architecture, experimentation, and fine-tuning</b> of <b>LLMs</b> (e.g., GPT, Claude, Mistral, LLaMA, Falcon) for business-specific applications.</li><li>
Drive <b>Agentic AI POCs and production implementations</b> using frameworks such as <b>LangGraph, LangChain, CrewAI, AutoGen, or Semantic Kernel</b>.</li><li>
Design and implement <b>multi-agent systems</b> with human-in-the-loop decision-making, contextual reasoning, and memory management.</li><li>
Collaborate with cross-functional AI engineering, data platform, and product teams to <b>operationalize LLM-based solutions</b>.</li><li>
Develop <b>fine-tuning and RAG pipelines</b> using open-source and proprietary foundation models.</li><li>
Lead <b>research and evaluation</b> of emerging AI/LLM technologies for internal innovation and client solutions.</li><li>
Mentor data scientists and ML engineers on <b>prompt engineering, model alignment (RLHF/RLAIF),</b> and scalable AI system design.</li><li>
Partner with business stakeholders to translate complex business problems into <b>data-driven, AI-enabled strategies</b>.</li><li>
Publish internal whitepapers and drive <b>AI Center of Excellence (CoE)</b> initiatives within the organization.</li></ul><div></div><div><b><br>
Required Skills &amp; Experience</b></div><ul><li><b>
14&ndash;22 years</b> of overall experience with at least <b>4+ years in advanced AI/LLM/GenAI research or engineering.</b></li><li>
Deep expertise in <b>Agentic AI</b> and building <b>multi-agent workflows</b> using <b>LangGraph, LangChain, AutoGen, CrewAI, or Haystack.</b></li><li>
Strong hands-on programming skills in <b>Python</b>, with working proficiency in <b>R</b> or <b>Scala</b>.</li><li>
Proven experience with <b>LLM fine-tuning</b>, <b>adapter methods (LoRA, QLoRA, PEFT)</b>, <b>RAG pipelines</b>, and <b>vector databases</b> (e.g., Pinecone, FAISS, Weaviate, Milvus).</li><li>
Strong understanding of <b>transformer architectures</b>, <b>tokenization</b>, <b>prompt optimization</b>, and <b>model evaluation metrics</b>.</li><li>
Experience integrating <b>LLMs with enterprise data systems</b>, APIs, and orchestration pipelines (Databricks, AWS, Azure ML, Vertex AI).</li><li>
Demonstrated success leading <b>POCs and production-grade implementations</b> in <b>Agentic AI</b> use cases (knowledge assistants, automation, data analysis, etc.).</li><li>
Familiarity with <b>data engineering, MLOps/LLMOps</b>, and <b>cloud-native AI deployment</b>.</li><li>
Excellent analytical, communication, and leadership skills with a track record of <b>mentoring teams and driving innovation</b>.</li></ul><div></div><div><b><br>
Preferred Qualifications</b></div><ul><li>
Advanced degree (Ph.D./M.Tech/M.S.) in <b>Computer Science, AI, Machine Learning, Data Science</b>, or a related field.</li><li>
Publications, patents, or conference presentations in <b>AI, NLP, or LLM</b> domains.</li><li>
Experience in <b>Generative AI governance</b>, <b>ethics</b>, or <b>AI system reliability</b>.</li><li>
Hands-on experience with <b>open-source LLM frameworks</b> and <b>custom dataset curation</b> for fine-tuning.</li></ul></div><p></p>

Principal Data Scientist – R01556906

NLP PEOPLE

Overview <p>We're looking for a<b>Research Scientist (Machine Learning)</b>to join an ambitious and interdisciplinary team applying AI to transform drug discovery and accelerate the development of life-changing medicines.</p><p>This is a chance to work on cutting-edge ML research with direct real-world impact, in a collaborative environment where innovation and creativity are encouraged.</p><p><b>This role will off you</b></p><ul><li>Work at the intersection of AI and life sciences with high-impact applications.</li><li>Hybrid working (3 days per week in the London office).</li><li>A collaborative, inclusive culture with opportunities for growth and leadership.</li></ul> What you'll do <ul><li>Design and develop novel ML models and algorithms.</li><li>Apply deep learning and generative modelling to complex scientific problems.</li><li>Collaborate with experts across biology, chemistry, physics, and engineering.</li><li>Analyse, tune, and optimise experimental results.</li><li>Depending on experience: lead projects, mentor others, and shape research strategy.</li></ul> What you'll bring <ul><li>PhD (or equivalent experience) in ML, computer science, or a related field.</li><li>Proven expertise in deep learning research and model development.</li><li>Strong knowledge of mathematics (linear algebra, calculus, statistics).</li><li>Experience with ML frameworks such as PyTorch, TensorFlow, or JAX.</li><li>A passion for applying ML to real-world scientific challenges.</li></ul> Nice to have <ul><li>Experience working with biological or chemical data.</li><li>Familiarity with large-scale deep learning, generative models, GNNs, RL, or computer vision.</li><li>Contributions to publications, research projects, or open-source ML.</li></ul><img src="https://www.jobg8.com/Tracking.aspx?3T4Xc8xAqRkMacEatShEH8vB88tUDqUZp" width="0" height="0" />

Research Scientist (Machine Learning)

DataAnnotation

<div>
 We are looking for an Energy Research Scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 <br/>
 <br/>
 In this role you will need to hold an expert level of physics. Other related fields include, but are not limited to: Physics and/or Applied Mathematics.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   This is a full-time or part-time REMOTE position
  </li>
  <li>
   You&rsquo;ll be able to choose which projects you want to work on
  </li>
  <li>
   You can work on your own schedule
  </li>
  <li>
   Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Give AI chatbots complex physics problems and evaluate their outputs
  </li>
  <li>
   Evaluate the quality produced by AI models for correctness and performance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fluency in English (native or bilingual level)
  </li>
  <li>
   Detail-oriented
  </li>
  <li>
   Strong grasp of classical mechanics, E&amp;M, thermodynamics, and basic quantum concepts
  </li>
  <li>
   A current, in progress, or completed Master's and/or PhD is preferred but not required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Notes
  <br/>
  <br/>
 </strong>
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 <br/>
 <br/>
 #physics
</div>


Energy Research Scientist

Microsoft

<div></div><div><h1 class="jobSectionHeader"><b>Senior 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 24, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1897599</b></div></div></div><div><div><div>
Work site</div><div><b>
Fully on-site</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 an applied scientist interested in leveraging advanced AI technologies to enhance Office products across all devices and platforms? We invite you to join the OSSE ML team, where we are transforming Office products and developing large-scale machine learning solutions. Based in Noida, our mission is to advance the capabilities of machine learning in order to create user experiences that are both effective and inclusive, enabling Microsoft customers to fully realise the value of our offerings.</div><div><br>
As a <b>Senior Applied Scientist</b> within the OSSE ML team, you will operate in a dynamic environment and collaborate with teams across Microsoft, including Microsoft Research and various product groups. You will have opportunities to develop sophisticated models and contribute to premier user experiences within the shared Office product infrastructure. This position plays a pivotal role in fostering innovation and delivering modern, inclusive, and intelligent solutions used by millions globally.<br>
<br>
Microsoft is committed to empowering individuals and organisations worldwide to achieve their potential. Our employees unite with a growth mindset, striving to innovate, enable success for others, and work collaboratively toward common objectives. We continually uphold our core values of respect, integrity, and accountability, cultivating a culture of inclusion that supports everyone&rsquo;s ability to thrive both professionally and personally.</div><div></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 4+ 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 3+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
</li><li>OR equivalent experience.</li></ul></li><li>
Proficiency in Python and relevant ML libraries (e.g., PyTorch).</li><li>
Experience with LLM/VLM/diffusion models (e.g., GPT, Deepseek-R1, Stable diffusion, Phi-V, Qwen).</li><li>
Technical background in coding and design, specifically in the development of AI models for scaled production services.</li><li>
Demonstrated success in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.</li></ul><div><b>
Preferred Qualifications:</b></div><div><ul><li>
Problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms.</li><li>
Leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members.</li><li>
Grounded in growth mindset, and advocate for diversity and inclusion.</li><li>
Customer obsessed and passionate about product impact.</li></ul></div></div></div></div><div></div><div><div><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><div><ul><li>
You will work on machine learning (ML) projects across various domains like natural language processing (NLP), Vision and harness LLMs, VLMs, and Diffusion models to deliver visual AI solutions for our customers.</li><li>
You will get the opportunity of working in a fast-paced environment developing algorithms and techniques leveraging text, and images for analyzing and transforming content to build solutions that have the potential to transform people&rsquo;s lives.</li><li>
You will work with engineering partner teams on the model integration/flight/maintenance.</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>

Senior Applied Scientist

Inception

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Inception is seeking a highly proficient and accomplished Sr. 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 Sr. 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 8 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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