ml researcher

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)

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

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>8 years of experience in software development.</li>
<li>7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).</li>
<li>5 years of experience with design and architecture, and testing/launching software products.</li>
<li>2 years of experience with GenAI techniques (e.g., LLMs, Multimodal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field.<br>
</li>
<li>8 years of experience with data structures/algorithms.</li>
<li>5 years of experience in a technical leadership role leading project teams and setting technical direction.<br>
</li>
<li>3 years of experience working in an organization involving cross-functional, or cross-business projects.</li>
<li>Ability to build relationships globally, ensuring effective collaboration between local and US-based teams to deliver AI-driven solutions.</li>
<li>Ability to work with distributed teams across multiple time zones, fostering strong communication, collaboration, and a sense of shared purpose even in a remote work environment.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.</p></div><div><h2 class="jobSectionHeader"><b><br>
Responsibilities</b></h2><ul>
<li><div>Grow and manage a high-performing team of 12+ Software Engineers, ML Engineers and ML Researchers for the AirStream and the Sensor Intelligence team.</div></li>
<li>Build capabilities in production that allow for the seamless and performant interaction between on-device, cloud LLMs or LLMs in a private sealed environment.</li>
<li>Productionize architecture that seamlessly spans devices and servers, while remaining adaptable to various compute and power capabilities.</li>
<li>Productionize horizontal technology, building the necessary infrastructure and pathways, driving customer onboarding, and owning the upstreaming of user feedback and data back to AIR and GDM teams for Hybrid, in context learning, Nano and Private Inference.</li>
<li>Collaborate with researchers and translate research findings from sensor data into practical applications for fitness and health.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Staff Software Engineer, AirStream, Sensors Intelligence

Overland AI

<div>
 <strong>
  About Overland AI
  <br/>
  <br/>
 </strong>
 Founded in 2022 and headquartered in Seattle, Washington, Overland AI is transforming land operations for modern defense. The company leverages over a decade of advanced research in robotics and machine learning, as well as a field-test forward ethos, to deliver combined capabilities for unit commanders. Our OverDrive autonomy stack enables ground vehicles to navigate and operate off-road in any terrain without GPS or direct operator control. Our intuitive OverWatch C2 interface provides commanders with precise coordination capabilities essential for mission success.
 <br/>
 <br/>
 Overland AI has secured $42M in funding, including a Series A led by 8VC, and built trusted partnerships with DARPA, the U.S. Army, Marine Corps, and Special Operations Command. Backed by eight-figure contracts across the Department of Defense, we are strengthening national security by iterating closely with end users engaged in tactical operations.
 <br/>
 <br/>
 We are looking for machine learning experts to join our team to advance the state of off-road autonomy.
 <br/>
 <br/>
 <em>
  Experienced, well-qualified remote candidates able to work during Pacific Time Zone business hours will be considered.
  <br/>
  <br/>
 </em>
 <strong>
  In this role, you will:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, prototype, and deploy machine learning algorithms related to perception, state estimation, and behavior planning (Python).
  </li>
  <li>
   Identify, implement, and respond to meaningful metrics that affect vehicle behavior.
  </li>
  <li>
   Serve as a technical expert for the team balancing short-term deliverables and long-term directions.
  </li>
  <li>
   Collaborate closely with experts across disciplines to work across the entire stack to improve the reliability and performance of the system.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   MS/PhD with publications in top-tier ML/CV venues (ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV), OR equivalent years of industry experience in an applied research setting working on multi-year problems.
  </li>
  <li>
   Expert in a relevant ML topic such as sequential prediction, structured prediction, inverse reinforcement learning, transformers, deep learning optimization, etc.
  </li>
  <li>
   Excellent linear algebra, probability theory, and optimization knowledge.
  </li>
  <li>
   Extensive experience in Python and a deep learning framework such as Pytorch, JAX, Tensorflow, etc.
  </li>
  <li>
   You excel in a small-team atmosphere, taking ownership of problems and working with your colleagues to solve problems across disciplines.
  </li>
  <li>
   Ability to obtain and maintain a DOD Security Clearance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Knowledgeable in any related technologies such as C++, CUDA, ROS, etc.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 Overland AI believes in creating a work environment that you look forward to embracing every day.
 <br/>
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   The salary range for this position is $120K to $300K annually
  </li>
  <li>
   Equity compensation
  </li>
  <li>
   Best-in-class healthcare, dental and vision plans.
  </li>
  <li>
   Unlimited PTO
  </li>
  <li>
   401k with company match
  </li>
  <li>
   Parental leave
  </li>
 </ul>
</div>


Software Engineer, Machine Learning (All levels)

Genpact

<div>
 <p>
  Inviting applications for the role of
  <strong>
   Data Scientist
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The role involves Designing and Implementing complex machine learning and Artificial Intelligence model. Solving business problems using Analytical and Big data tool. The role will require the candidate to work independently with research business and Vendors on analyzing and defining problem statements, and work closely with development team on designing and implementing the solutions and managing the delivery of various products.
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Work Location: Mumbai &amp; Bangalore
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Designing and implementing complex machine learning and Artificial Intelligence model
  </li>
  <li>
   Work closely with development team on designing and implementing the solutions and managing the delivery of various products
  </li>
  <li>
   Participate in training sessions.
  </li>
  <li>
   Stay informed about the developments in AI and LLMs.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Qualifications we seek in you!
 </p>
 <p>
  <br/>
 </p>
 <p>
  Minimum Qualifications / Skills
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   5+ years of experience in designing and implementing AI/ML models in the following areas:
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ol>
  <li>
   Supervised and Unsupervised learning
  </li>
  <li>
   Deep Learning (CNN, RNN, LSTM, Transformers)
  </li>
  <li>
   Prompting, RAG and fine-tuning experience with OpenAI models and Open Source LLMs
  </li>
  <li>
   Natural language Processing (Sentiment Analysis, Embedding, Summarization, Chatbot etc.) Entity identification / extraction and Knowledge discovery from structured and unstructured content
  </li>
 </ol>
 <ul>
  <li>
   Expert in python, R, Spark, Tensor, Flow, Snowflake, Databricks and Other machine learning / LLM tools
  </li>
  <li>
   Familiar with NoSQL and vector databases
  </li>
  <li>
   Experience in CPU/GPU cloud environment
  </li>
  <li>
   PhD or master&rsquo;s degree in mathematics, Statistics, Data Science, Computer Science or Other related fields
  </li>
 </ul>
 <p>
 </p>
</div>


Data Scientist

GoDaddy

<div><div><ul><li>R022476
</li></ul></div><div><ul><li>Gurugram, Haryana, India
</li></ul></div><div></div><div><ul><li>Engineering
</li></ul></div><div><ul><li>Regular</li></ul></div></div><div></div>
<br><div><p><b>Location Details:</b><b> </b>Gurugram (Hybrid)</p>
<p>
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
</p><p><b>Hybrid:</b> This is a hybrid position. You&rsquo;ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team.</p>
<p><b>
Join our Team&hellip;</b></p>
<p>
If you are passionate about machine learning and want to make a difference for millions of small businesses, join our DnAI (Data and Artificial Intelligence) team at GoDaddy as a Senior Machine Learning Scientist. You will have the opportunity to build cutting-edge machine learning models and Generative AI solutions to build intelligent software that delight our customers. You will work with highly skilled engineers in building comprehensive solutions to challenging business problems in customer experience, personalization; as well as solve technical problems in model evaluation, simulation and more.</p>
<p><b>
What you'll get to do...</b></p>
<ul>
<li>Develop and implement advanced machine learning algorithms.</li>
<li>Build Intelligent Software using Large Language Models (AI Agents).</li>
<li>Design and refine ML models to enhance their performance, scalability, and robustness.</li>
<li>Assess, design and curate comprehensive evaluations for open-ended GenerativeAI problems.</li>
<li>Collaborate with cross-functional teams to integrate ML solutions within broader product and platform initiatives.</li>
<li>Drive the exploration and adoption of cutting-edge ML technologies to maintain our competitive edge in the industry.</li>
</ul>
<p><b>Your experience should include...</b></p>
<ul>
<li>6+ years of overall experience in machine learning related roles.</li>
<li>Strong knowledge of machine learning algorithms, tools, and techniques, such as supervised and unsupervised learning, deep learning, computer vision, natural language processing, etc.</li>
<li>Familiarity with AI assisted coding tools like Cursor, Claude Code or VS Code.</li>
<li>Proficient in Python programming language with familiarity with software engineering best practices, such as version control, code review, CI/CD, etc.</li>
<li>Proficiency with prompt engineering and large language models (LLM) and Natural Language Processing (NLP).</li>
</ul>
<p><b>You might also have...</b></p>
<ul>
<li>Experience building conversational systems.</li>
<li>Experience in designing comprehensive evaluations and verification methods.</li>
<li>Proficiency in Typescript is a plus.</li></ul><br>
<p></p>
<p><b>
We've got your back...</b><b> </b>We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy&rsquo;s benefits vary based on individual role and location and can be reviewed in more detail during the interview process.</p>
<p>
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.</p>
<p><b>
About us... </b>GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.</p>
<p>
At GoDaddy, we know diverse teams build better products&mdash;period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that&rsquo;s not enough to build true equity and belonging in our communities. That&rsquo;s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day&mdash;focusing not only on our employee experience, but also our customer experience and operations. It&rsquo;s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.</p>
<p><i>
GoDaddy is proud to be an equal opportunity employer</i><i>. </i><i>GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.</i> <i>Refer to our full</i> <i>EEO policy.</i></p>
<p>
Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com.</p>
<p><b>
GoDaddy doesn&rsquo;t accept unsolicited resumes from recruiters or employment agencies.</b></p></div>

Senior Machine Learning Scientist

Indian School of Business

<p></p><div><div><div><div><div><div><div><p><b>Number of Positions: </b>1</p>
<p><b>
Location: </b>Hyderabad</p>
<p><b>
Reports to Position: </b>PI/Co-PI</p>
<p><b>
Reportees to Position: </b>None</p>
<p><b>
Band: </b>FT</p></div></div></div></div></div></div><div></div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>
About the Institute</b></h2>
<p>
Max Institute of Healthcare Management is an interdisciplinary research centre at ISB that provides insights on healthcare delivery and management to policymakers, public institutions, and corporates to enable the creation of better health systems through integrated elements of research, education and outreach.</p></div></div></div></div></div></div><div></div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>
Job Description</b></h2>
<h4 class="jobSectionHeader"><b>Job</b></h4>
<p>
Behavioral Science Researcher position offers an excellent opportunity to apply behavioral and human-centered research methods to understand how healthcare workers, patients, and organisations engage with AI solutions in practice.</p>
<h4 class="jobSectionHeader"><b>
Job Purpose</b></h4>
<p>
The Behavioral Science Researcher offers an excellent opportunity to apply advanced analytical and technical skills in evaluating and deploying AI models within real-world healthcare settings.</p>
<p>
The Researcher will be responsible for</p>
<p>
(i) Evaluating user interactions and interface design of AI tools</p>
<p>
(ii) Conducting field studies to assess usability, comprehension, and adoption patterns</p>
<p>
(iii) Measuring user trust, learning curves, and behavioral responses over time</p>
<p>
(iv) Identifying cognitive and organizational factors that influence sustained use</p>
<p>
(v) Assessing ethical and social implications of AI deployments</p>
<p>
(vi) Designing and executing mixed-method studies combining qualitative and quantitative insights</p>
<p>
(vii) Translating behavioral evidence into actionable design and policy recommendations</p>
<p>
(viii) collaborating closely with clinical, ML, and operations teams to refine deployment strategies</p></div></div></div></div></div></div><div></div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>
Job Specifications</b></h2>
<h4 class="jobSectionHeader"><br>
<b>Knowledge / Education:</b></h4>
<ul><li>MS/PhD in Human&ndash;Computer Interaction, Behavioral Science, Digital Society or related field</li>
</ul><h4 class="jobSectionHeader"><b>Specific Skills:</b></h4>
<ul><li>Excellent communication and facilitation skills to work across technical, clinical, and social science teams</li>
<li>Excellent project management and organizational skills<br>
a. Meticulous attention to detail<br>
b. Ability to work independently and to carry out assignments to completion within parameters of instructions given, prescribed routines, and standard accepted practices<br>
c. Capability to manage multiple tasks efficiently</li>
<li>Demonstrated ability to manage relationships with partner organizations</li>
<li>Willingness to frequently travel to study sites to support pilot deployments</li>
</ul><h4 class="jobSectionHeader"><b>Mandatory Experience:</b></h4>
<ul><li>Minimum 3 years of experience in usability research, task analysis, or behavioral studies related to technology adoption</li>
<li>Demonstrated experience with qualitative and quantitative evaluation methods (e.g. system usability, cognitive walkthroughs) classification, natural language processing, or computer vision applications</li>
<li>Strong understanding of behavioral frameworks, social theory, and human factors in digital interventions</li>
</ul><div><div><div><div><b>Job Interface / Relationships</b></div>
</div><br>
<div><div><b>Internal</b></div>
<div>
<p><b>External</b></p></div></div><br>
<div>
<div><ul><li>MIHM Research and Admin team</li>
<li>Other departments including Grants, Finance, Legal, and IT</li>
</ul>
</div><div><ul><li>Grantor research/programme team</li>
<li>Vendors &amp; Consultants</li>
<li>Sub-grantees/data collection agencies</li>
<li>IRB Boards, governments, other stakeholders</li></ul></div><br>
</div><br>
</div></div><p></p><h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>Evaluate AI solutions through a combination of desk-review and on-site travel.</li>
<li>Assess user interactions with AI solution interfaces; provide evidence-based recommendations on output design.</li>
<li>Evaluate user experience across different user types (e.g. learning curve, ease of use, uptake, retention, abandonment).</li>
<li>Assess cognitive fit and interpretability of AI outputs (comprehension rate, heuristic alignment, actionability).</li>
<li>Quantify user trust and reliability in AI-solutions over time.</li>
<li>Evaluate behavioral drivers influencing adoption at individual and organizational levels (e.g. incentives, reputation, professional identity, peer norms).</li>
<li>Evaluate organizational and system-level structures that facilitate or hinder sustained use of AI solutions.</li>
<li>Assess the ethical, political, and social dimensions of AI deployments.</li>
<li>Collaborate with operations, clinical, and ML teams to translate findings into actionable design and deployment improvements.</li>
</ul><h3 class="jobSectionHeader"><b>How to Apply?</b></h3>
<p>
Send an email to maxinstitute@isb.edu with the subject line &ldquo;Behavioral Science Researcher&rdquo; with a copy of your CV. Any evidence of written work and references by academics would be a strong positive. Applications will be reviewed until the position is filled. You will be contacted only in case you are shortlisted for an interview.</p></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div><div>
Hyderabad Campus</div><div><p>
Indian School of Business</p>
<p>
Gachibowli, Hyderabad - 500111</p></div></div><p></p><div><div><br>
Timings : Monday- Friday, 08:00 AM IST to 06:00 PM IST</div><ul><li><p>
040 23187777</p></li><li><p>
0172 4591800</p></li><li><p>
careers_hyderabad@isb.edu</p></li><li><p>
careers_mohali@isb.edu</p></li><li><p>
careers_ra@isb.edu</p></li></ul></div></div><div><div><div>
Mohali Campus</div><div><p>
Indian School of Business</p>
<p>
Knowledge City</p>
<p>
Sector 81, SAS Nagar ,Mohali - 140 306</p></div></div></div></div></div></div></div></div></div><div></div>

Behavioral Science Researcher (Digital Interventions)

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