ai research scientist

Jinendra infotech pvt ltd.

e are hiring for Senior Data Scientist (Generative AI)Position: Senior Data Scientist (Generative AI) Experience: 3.5 &ndash; 7 yearsLocation: RemoteNotice Period: Immediate to 15 daysMandatory Skills:Python, PyTorch, TensorFlow, JAX, LangChain, HuggingFace, Kubeflow, MLflow, Azure ML, YOLO, RAG, LlamaIndex, LangGraph, TensorRT, ONNX RUNTIME. (Tech Stack)TechnologyCategoryExpRatingPythonProgramming Language PyTorchDeep Learning Framework TensorFlowDeep Learning Framework JAXML/Math Framework LangChainLLM Orchestration HuggingFaceML/LLM Ecosystem KubeflowMLOps Platform MLflowMLOps Tool Azure MLCloud ML Platform YOLOComputer Vision Model RAGLLM Technique LlamaIndexLLM Data Framework LangGraphLLM Workflow Engine TensorRTInference Optimizer ONNX RuntimeInference EngineJOB DESCRIPTIONAs a Senior Data Scientist (Generative AI), you will lead the design, research, and implementation of advanced AI solutions to address complex business challenges. You will work across the full ML lifecycle&mdash;from ideation and experimentation to scalable deployment&mdash;developing and fine-tuning models such as LLMs, diffusion models, and multi-agent systems.Responsibilities:<ul><li>Build, fine-tune, and deploy generative AI and LLM-based solutions using frameworks like LangChain, HuggingFace, and PyTorch.</li><li>Develop, test, and optimize RAG pipelines, diffusion models, and AI agents for real-world use cases.</li><li>Collaborate with engineering teams to productionize ML solutions with MLOps tools (MLflow, Kubeflow, W&amp;B).</li><li>Apply deep statistical and ML theory to create efficient, robust, and scalable models.</li><li>Stay current with advancements in AI research, contributing to innovation and model improvement.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Data Science, or related field.</li><li>3.5&ndash;7 years of hands-on experience in AI/ML model development and deployment.</li><li>Strong foundation in ML/DL architectures, optimization, and fine-tuning techniques.</li><li>Experience in production-grade LLMs, RAG, and generative AI systems.</li></ul>Job Types: Full-time, PermanentPay: &#8377;900,000.00 - &#8377;1,200,000.00 per yearWork Location: Remote

Senior Data Scientist (Generative AI)

CVJ-Centre for Synthetic Biology and Biomanufacturing

POSITION OVERVIEWWe are seeking a highly motivated Scientist in Bio AI to join our cutting-edge research and innovation team at the intersection of biology, artificial intelligence, and data-driven discovery. The ideal candidate will apply AI/ML methods to accelerate insights in genomics, systems biology, synthetic biology, and biomanufacturing. This role offers the opportunity to work in a highly interdisciplinary environment, driving innovation in healthcare, sustainability, and the bioeconomy.KEY RESPONSIBILITIESThe responsibilities of the scientist would include, but are not limited to, the following1. Conduct high-impact translational research using classic computational tools, AI, and quantum tools to design novel molecules and pathways for health, food, and environmental applications.&middot; Integrate multi-omics data to model virtual pathways and cells.&middot; Build AI/ML models for genomics, proteomics, metabolomics, imaging, and multi-omics integration.&middot; Develop predictive and generative models for protein design, pathway optimization, drug discovery, and biomanufacturing.&middot; Collaborate with experimental teams to validate AI-driven predictions in the lab.&middot; Create knowledge graphs and data pipelines to structure biological insights.&middot; Drive innovation through high-impact publications and intellectual property (patents, algorithms, pipelines).2. Publish research findings in good journals and present at international conferences.3. Participate in grant writing and fundraising activities.4. Foster collaborations with global academic institutions and industry leaders.5. Contribute to the academic mission by designing courses, teaching and mentoring students in bio-AI, computational biology, and data-driven biodesign.QUALIFICATIONS AND EXPERTISE&middot; PhD or equivalent in Computational Biology, Bioinformatics, Computer Science, AI/ML, Systems Biology, or related fields.&middot; Strong expertise in machine learning, deep learning, or generative AI, with applications in biology or chemistry.&middot; Proven experience in handling large-scale biological datasets (genomic, proteomic, imaging, multi-omics).&middot; Proficiency in programming (Python, R, TensorFlow, PyTorch, or equivalent).&middot; Strong understanding of molecular biology, biochemistry, or systems biology.&middot; Track record of scientific publications and/or patents.&middot; Excellent communication skills and ability to thrive in a collaborative, interdisciplinary team.BENEFITS AND OPPORTUNITIES&middot; Opportunity to work at the frontier of AI and life sciences, shaping the future of biomanufacturing and healthcare.&middot; Access to state-of-the-art computational and experimental facilities.&middot; Competitive salary and benefits package.&middot; Career growth through publications, patents, and translational projects with industry partners.&middot; Be part of an internationally connected ecosystem, with collaborations spanning academia, startups, and industry leaders.&middot; A dynamic workplace that values innovation, interdisciplinary collaboration, and societal impact.APPLICATION PROCESS&middot; A cover letter outlining Research Plan, Teaching Statement&middot; A detailed CV, including publication record&middot; Contact details of three professional references&middot; Applications will be accepted until the position is filledSubmit application to: connect@cvjsynbio.orgNote: All applications will be thoroughly reviewed - only shortlisted candidates will be contacted for an interview.Job Type: Full-timeWork Location: In person

Scientist BioAI

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Alexa+ is Amazon&rsquo;s next-generation, AI-powered assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalized, and effective experience. The Trust CX Innovations team is looking for an Applied Scientist with strong background in Generative AI space to build solutions that help in upholding customer trust for Alexa+. 
 
As an Applied Scientist in Trust CX innovations, you will be at the forefront of developing innovative solutions to critical challenges in AI trust and privacy. You'll lead research in trust-preserving machine learning techniques. We are working on revolutionizing the way Amazonians work and collaborate. You will help us achieve new heights of productivity through the power of advanced generative AI technologies. 
 
 
 
Key job responsibilities 
<ul><li>Lead research initiatives in generative AI, focusing on LLMs, multimodal models, and frontier AI capabilities</li><li>Develop innovative approaches for model optimization, including prompt engineering, few-shot learning, and efficient fine-tuning</li><li>Pioneer new methods for AI safety, alignment, and responsible AI development</li><li>Design and execute sophisticated experiments to evaluate model performance and behavior</li><li>Lead the development of production-ready AI solutions that scale efficiently</li><li>Collaborate with product teams to translate research innovations into practical applications</li><li>Guide engineering teams in implementing AI models and systems at scale</li><li>Author technical papers for top-tier conferences</li><li>File patents for novel AI technologies and applications</li></ul> 
A day in the life 
You will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve our trust-preserving experiences. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership. 
 
About the team 
Who We Are: 
Trust CX Innovations is a strategic innovation team within Amazon Devices &amp; Services that focuses on advancing AI technology while prioritizing customer trust and experience. Our team operates at the intersection of artificial intelligence, privacy engineering and customer-centric design. 
 
Our Mission: 
To pioneer trustworthy AI innovations that delight customers while setting new standards for privacy and responsible technology development. We aim to transform how Amazon builds AI products by creating solutions that balance innovation with customer trust.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in professional software development</li><li>Direct experience with leading generative AI models (e.g., GPT architectures, diffusion models)</li><li>Background in AI safety and alignment research</li></ul> 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Applied Scientist, Trust CX Innovations (TCI)

Microsoft

<div>We are seeking a passionate and technically skilled Senior Data Scientist to join the Commerce &ndash; Platforms, Data, and Experiences (PDX) team. This team plays a pivotal role in shaping Microsoft&rsquo;s commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.
As a Senior Data Scientist in PDX, you will be responsible for conducting applied research and development in the areas of anomaly detection, forecasting, recommendation systems and privacy preserving AI and build prototypes as well as take the algorithms all the way to production &ndash; this covers all the ML engineering aspects end-to-end including algorithm development, coding and building prototypes as well as the production-grade ML sub-systems.<h2 class="jobSectionHeader">
Responsibilities</h2><ul><li>
Conduct original research into the areas of forecasting, anomaly detection, recommendation systems as well as privacy preserving ML/AI and agentic AI. Disseminate the research findings by publishing in top conferences such as NeurIPS, AAAI, CVPR, ICML, ICLR, etc.</li><li>
Build scalable machine learning models as part of the Commerce Platform that would act as the foundation for insights across the Commerce Platform.</li><li>
Define the scientific vision for ML/AI in the commerce platform.</li><li>
Partner with engineering and product teams to deliver business impact powered by ML Models, ensuring the models built are operable, scalable, extensible and performant.</li><li>
Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets.</li><li>
Lead experimentation efforts to evaluate new features, forecasting, data quality, and anomaly detection systems.</li><li>
Be a champion of responsible AI development and ensure the necessary guardrails are put in place to ensure fairness, accountability and transparency of AI/ML models</li><li>
Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree (PhD preferred) in Computer Science, Statistics, Mathematics, or related field from top institutes in India or abroad.</li><li>
12 years of experience (for Bachelor&rsquo;s degree) in applied machine learning R&amp;D or in allied areas such as statistics, andAI, 9 years for Masters and 5 years for PhD.</li><li>
Top tier publications in ML &ndash; conferences such as NeurIPS, AAAI, ICML, ICLR, CVPR etc.</li><li>
Experience with ML frameworks, cloud platforms (Azure preferred) and big data technologies.</li><li>
Strong understanding of statistical modeling, predictive analytics, and experimentation design.</li><li>
Excellent communication and stakeholder management skills.</li><li>
Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.</li></ul><div></div><div> 
#CPXJOBS</div>
Microsoft is an equal opportunity employer. Consistent with applicable law, 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>

Senior Data Scientist

Stealth Company

AI Researcher &ndash; Computer Vision Location: Chandigarh Experience: 3&ndash;7 years Department: AI Research &amp; Innovation Employment Type: Full-timeAbout the Role We are looking for a passionate AI Research Scientist with expertise in Computer Vision and Video Understanding to join our AI Research Team. You will work on developing deep learning&ndash;based solutions that help machines interpret, analyze, and understand complex video content. The role focuses on applied research, model development, and prototyping of scalable AI solutions that can be deployed across enterprise use cases.Key Responsibilities <ul><li>Research and prototype deep learning models for video understanding, including:</li><li>Action and gesture recognition</li><li>Object tracking and temporal event detection</li><li>Video summarization and scene understanding</li><li>Deepfake and manipulated content detection</li><li>Implement and optimize architectures such as 3D CNNs, Vision Transformers, and Temporal Models.</li><li>Contribute to dataset design, annotation, and preprocessing pipelines for video-based training.</li><li>Conduct experiments to benchmark and improve model accuracy, robustness, and inference performance.</li><li>Collaborate with senior researchers and engineering teams to integrate research outputs into production systems.</li><li>Stay updated on the latest research in video AI, multimodal learning, and transformer architectures, and evaluate their practical applications.</li><li>Document methodologies, publish internal reports, and contribute to patents or external publications where applicable.</li></ul>Required Qualifications <ul><li>Master&rsquo;s degree or higher in Computer Science, Electrical Engineering, or related field.</li><li>3&ndash;7 years of experience in computer vision or deep learning research, with a focus on video data.</li><li>Strong programming skills in Python and experience with PyTorch or TensorFlow.</li><li>Hands-on experience with spatio-temporal models such as I3D, SlowFast, or TimeSformer.</li><li>Solid understanding of feature extraction, self-supervised learning, and transformer-based architectures.</li><li>Experience working with video datasets like Kinetics, Something-Something, or DFDC.</li><li>Proven ability to run experiments end-to-end &mdash; from data preparation to evaluation and reporting.</li><li>Strong analytical thinking and communication skills.</li><li>Should have published papers or patents or invented new architectures for model enhancements.</li></ul>Preferred Qualifications <ul><li>Experience in multimodal AI (vision + audio + text) or generative video modeling.</li><li>Exposure to video forensics or media authenticity detection.</li><li>Experience with distributed training, GPU optimization, or MLOps pipelines.</li><li>Familiarity with open-source frameworks such as Hugging Face, OpenMMLab, or PyTorch Lightning.</li></ul>Job Types: Full-time, PermanentPay: &#8377;397,020.86 - &#8377;1,745,814.57 per yearWork Location: In person

AI Researcher – Computer Vision

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.
 
 
 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.
 
 
 
 Benefits
 
 
 
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 This is a full-time or part-time REMOTE position
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 You&rsquo;ll be able to choose which projects you want to work on
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 You can work on your own schedule
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 Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
 
 
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 Responsibilities
 
 
 
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 Give AI chatbots complex physics problems and evaluate their outputs
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 Evaluate the quality produced by AI models for correctness and performance
 
 
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 Qualifications
 
 
 
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 Fluency in English (native or bilingual level)
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 Detail-oriented
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 Strong grasp of classical mechanics, E&amp;M, thermodynamics, and basic quantum concepts
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 A current, in progress, or completed Master's and/or PhD is preferred but not required
 
 
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 </ul>
 
 Notes
 
 
 
 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.
 
 
 #physics
</div>

Energy Research Scientist

Inception

<div>
 
 Overview
 
 
 
 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.
 
 
 The opportunity
 
 
 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.
 
 
 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.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 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.
 
 
 <ul>
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 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.
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 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.
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 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.
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 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.
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 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
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 Provide pre-sales and post-sales technical support to the business development team.
 
 
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 </ul>
 
 Qualifications
 
 
 
 Skills and attributes for success
 
 
 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.
 
 
 To qualify, you must have
 
 
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 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.
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 Minimum 8 years of experience in developing AI algorithms for various modalities
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 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
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 Ideally, you&rsquo;ll also need
 
 
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 A highly curious and inquisitive approach to problem-solving
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 In-depth knowledge of the latest developments in AI and machine learning
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 Excellent communication skills
 
 
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 What we look for
 
 
 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.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Senior Applied Scientist

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