informatics scientist

FullThrottle Labs Pvt Ltd

Position SummaryAs a Computational Materials Discovery Scientist, you will work at the intersection of materials science, computational chemistry, condensed matter physics, quantum computing, and AI/ML. You will contribute to first-principles simulations, molecular and mesoscale modeling, materials informatics pipelines, and hybrid quantum&ndash;classical algorithms for accelerated discovery of materials, catalysts, semiconductors, polymers, and functional systems.This role is ideal for candidates who want to solve real scientific and industrial problems using DFT, MD, multiscale modeling, machine learning, and emerging quantum computing techniques, fully integrated with QpiAI&rsquo;s AI and quantum computing platforms.RequirementsCore Technical Skills*&nbsp;*1. Computational &amp;amp; Quantum Mechanical Methods*&nbsp;*Electronic Structure &amp;amp; Quantum Methods- Density Functional Theory (DFT)&nbsp;- Ab initio Molecular Dynamics (AIMD)- Time-dependent DFT (TDDFT) for excited states- DFT+U for strongly correlated systems- Hybrid functionals&nbsp;- Hartree&ndash;Fock and post-HF methods (MP2, CCSD(T))Molecular &amp;amp; Statistical Simulations- Classical Molecular Dynamics (MD)- Force-field development and validation- Monte Carlo (MC) simulations- Kinetic Monte Carlo (kMC) for surface reactions- Machine Learning Force Fields ( Fairchem, Universal Forcefield, MACE)Multiscale &amp;amp; Mesoscale Modeling- Hierarchical nano &rarr; micro &rarr; meso &rarr; macro modeling- QM&ndash;MM and QM&ndash;continuum coupling- Microkinetic modeling and reaction networks- Phase-field modeling- Free energy methods (umbrella sampling, metadynamics)2. Materials Simulation &amp;amp; Electronic Structure Modeling- Bulk and surface DFT calculations- k-point convergence, basis set testing- Band structure, DOS, PDOS- Phonons and lattice dynamics- Elastic constants, thermal &amp;amp; mechanical properties- Defect formation energies- Phase stability &amp;amp; convex hulls- Slab models and adsorption energies- Reaction pathways using NEB / CI-NEBBenchmarking &amp;amp; Validation- Cross-code benchmarking across:- DFT engines: VASP, Quantum ESPRESSO, CP2K, GPAW, CASTEP, Gaussian, ORCA- MD engines: LAMMPS, GROMACS, NAMD- ML potential3. Materials Informatics &amp;amp; AI/ML- Build ML models for materials &amp;amp; catalyst property prediction:- Fairchem, Universal Forcefield, CGCNN, MEGNet, SchNet, e3nn, NequIP- Transformer &amp;amp; foundation models for materials- Curate datasets from:- Materials Project, OQMD, NOMAD, JARVIS- Develop ML surrogates for:- Energy &amp;amp; force prediction- Bandgap estimation- Thermal &amp;amp; mechanical properties- Catalyst screening &amp;amp; ranking- Integrate ML pipelines with:- DFT / MD workflows- Quantum simulation pipelines4. Simulation Workflow Engineering- Build reproducible, automated workflows in Python for:- High-throughput materials screening- DFT&ndash;MD&ndash;CG-Mesoscale simulation pipelines- Data extraction &amp;amp; post-processing- Develop modular tools for:- Structure parsing (CIF, POSCAR, XYZ, PDB)- Geometry builders &amp;amp; surface generators- Parameters generations&nbsp;- Visualization (band structure, DOS, phonons, trajectories)- Deploy workflows on:- HPC clusters- Cloud platforms (AWS, GCP)- Containerized environments (Docker)5. Research, Collaboration &amp;amp; Documentation- Conduct literature reviews in:- Computational materials- Catalysis- Semiconductors- Alloy and Ceramics- Polymers- Quantum algorithms- Design, execute, and analyze numerical experiments- Prepare:- Technical reports- Internal whitepapers- Presentations and datasets- Collaborate closely with:- Quantum hardware teams- Algorithm developers- AI/ML engineersSpecialization Tracks&nbsp;*&nbsp;*A. DFT &amp;amp; Electronic Structure Specialization- Advanced XC functional selection &amp;amp; benchmarking- Strongly correlated systems (DFT+U, Hubbard models)- Excited-state calculations (TDDFT, GW &ndash; exposure preferred)- Defects, surfaces, and interfaces- Electronic transport &amp;amp; conductivity modelingB. Molecular Dynamics &amp;amp; Classical Simulations- Classical MD simulations (LAMMPS, GROMACS)- Force-field parameterization &amp;amp; validation- Free energy calculations- Reactive force fields (ReaxFF)- ML-accelerated MD workflows- Parameter generation for coarse-grained simulationsC. Catalysis Specialization- Heterogeneous, homogeneous &amp;amp; electro-catalysis- Reaction pathway identification- Transition state searches (NEB, CI-NEB)- Adsorption energies &amp;amp; surface thermodynamics- Microkinetic modeling- Applications:- OER, ORR, HER- Photocatalysis- Single-atom &amp;amp; nanocluster catalystsD. Polymers &amp;amp; Soft Matter Specialization- DFT-based parameter extraction for polymers- Multiscale polymer modeling (DFT, AA, CG)- Dissipative Particle Dynamics (DPD)- Monte Carlo Simulations- Polymer blends, Polymer nanocomposites, surfactants, colloids- Polymerization, degradation, crosslinking, morphology and aging studies- Integration of DFT &rarr; MD &rarr; DPD&rarr;Phase field simulations pipelinesE. Quantum Computing for Materials Simulation- Map materials Hamiltonians to qubits:- Jordan&ndash;Wigner, Bravyi&ndash;Kitaev, parity mappings- Work on quantum algorithms including:- VQE for correlated materials- Subspace Quantum Diagonalization (SQD)- qEOM for excited states- Quantum Phase Estimation- QITE / Quantum Monte Carlo- Analyze:- Qubit requirements- Circuit depth- Noise &amp;amp; error budgets- Design material-specific ans&auml;tze for NISQ devices and simulators*&nbsp;*Software &amp;amp; Programming Skills- DFT Codes: VASP, QE, CP2K, Gaussian, ORCA, CASTEP, ADF- MD Codes: LAMMPS, GROMACS, NAMD, AMBER- Visualization: VMD, VESTA, OVITO, Materials Studio, ASE- Programming: Python (mandatory), Bash- ML: PyTorch, TensorFlow, scikit-learn- Infrastructure: HPC, MPI, Docker, Git, AWS / GCPSoft Skills- Strong analytical and first-principles thinking- Ability to design reproducible scientific workflows- Clear scientific communication- High ownership and curiosity-driven research mindsetEducational Qualifications- PhD (or pursuing PhD for intern role) in:- Chemistry- Materials Science- Chemical Engineering- Physics- Computational Science or related STEM field- Strong foundation in:- Physical chemistry- Quantum mechanics- Statistical mechanics &amp;amp; thermodynamics- Specialization in computational chemistry / materials modeling strongly preferredPreferred Qualifications- Publications or strong computational project portfolio- Experience with HPC &amp;amp; large-scale simulations- Prior work in:- Materials discovery- Catalysis- Semiconductor- Polymer modeling- ML-driven materials science- Exposure to quantum algorithms or hybrid quantum&ndash;classical workflowsJob Type: Full-timePay: ₹1,200,000.00 - ₹1,800,000.00 per yearWork Location: In personSpeak with the employer +91 9008078505

Computational Materials Discovery Scientist

Alkermes, Inc.

<div>This position will support ongoing efforts within Research to advance the integration of modern machine learning models into Alkermes&rsquo; broader modeling and informatics architecture. The role is focused on building, evaluating, and improving predictive models trained on chemical assay data, with an emphasis on robust performance characterization and decision-making in chemically relevant space. The individual will work closely with Modeling &amp; Informatics scientists to develop reproducible, interpretable machine learning workflows that directly support medicinal chemistry programs.-making in chemically relevant space. The individual will work closely with Modeling &amp; Informatics scientists to develop reproducible, interpretable machine learning workflows that directly support medicinal chemistry programs.</div>
 <div><div><div>Why join Team Alkermes?
Alkermes applies its decades of deep neuroscience expertise to develop medicines designed to help people living with complex and difficult-to-treat psychiatric and neurological disorders. A global biopharmaceutical company, headquartered in Ireland with U.S. locations in Massachusetts and Ohio, we seek to make a meaningful difference in the way people manage their diseases. We have a portfolio of proprietary commercial products for the treatment of alcohol dependence, opioid dependence, schizophrenia, bipolar I disorder and narcolepsy, and a pipeline of clinical and preclinical candidates in development for various psychiatric and neurological disorders.
We are proud to have been recognized as an employer of choice by many national organizations. In 2024 and 2025, we were certified as a Great Place to Work in the U.S. and named one of Massachusetts&rsquo; Top Places to Work by the Boston Globe, a Best Place to Work in Greater Cincinnati by the Cincinnati Business Courier and recognized as a Best Place to Work in BioPharma by Fortune Magazine.
</div><div>Alkermes, Inc. is an equal employment opportunity employer and does not discriminate against any qualified applicant or employee because of race, creed, color, age, national origin, ancestry, religion, gender, sexual orientation, gender expression and identity, disability, genetic information, veteran status, military status, application for military service or any other characteristic protected by local, state or federal law. Alkermes also complies with all work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Alkermes is an E-Verify employer.</div></div></div>
 Degree LevelHigh School Diploma / GED

Intern, Molecular Modeling & Informatics

TikTok

Data analysis
 
TikTok Shop - Data Scientist - AI
 
Location
 :
 
San Jose
 
Employment Type
 :
 
Regular
 
Job Code
 :
 
A234833
 
Responsibilities
 
The Global E-commerce Data Science team aims to maximize the efficiency of e-commerce transactions, lead product decision-making iterations, and achieve sustainable growth in revenue with data and scientific methods, through quantitative techniques such as mathematical statistics and machine learning.
 
We are hiring a Data Scientist with strong hands-on experience in AI/LLM-powered systems to join our AI Enablement & Innovation team. This role will design and deploy scalable AI solutions that power internal DS enablement resources and high-impact, business-facing applications across horizontal domains.
 
Beyond execution, this role is expected to help shape our internal AI strategy, influencing architectural decisions, technical standards, and long-term direction for how AI systems are built and scaled across the organisation. As the team grows, there will be opportunities to expand into broader technical leadership.
 
What you will do?
 <ul>
<li>Design and deploy agentic workflows leveraging LLMs and modern AI architectures</li>
<li>Build and productionize AI systems and enablement resources for the global DS organization</li>
<li>Develop scalable AI-enabled applications that augment decision-making across multiple business teams</li>
<li>Contribute to defining the strategic roadmap for AI systems, architecture, and platform integration</li>
<li>Establish evaluation, observability, and governance standards for AI systems</li>
<li>Partner closely with Data Science, Data Engineering, Business, and Platform teams</li>
<li>Drive initiatives end-to-end from concept to production with strong product thinking</li>
</ul>
Qualifications
 
Minimum Qualifications: 
<ul>
<li>Bachelor and above degree in Mathematics, Statistics, Computer Science, or Analytics;</li>
<li>At least 5 years of experience in Data Science/Applied ML with deep hands-on AI experience;</li>
<li>To succeed in the role, you need to be a proactive, self-driven and impact-driven person;</li>
<li>Proven ability to independently lead complex, cross-functional technical initiatives;</li>
<li>Strong communication skills and stakeholder engagement capability.</li>
</ul>
Preferred Qualifications: 
<ul>
<li>Advanced Degree (MS, PhD.) in Mathematics, Statistics, Analytics, etc.</li>
<li>Strong Expertise in LLM systems, agentic orchestration frameworks, and model evaluation;</li>
<li>Experience integration AI systems with structured data platforms;</li>
<li>Entrepreneurial mindset and comfort operating in ambiguous, fast-moving environments.</li>
</ul>
Job Information
 
【For Pay Transparency】Compensation Description (Annually)
 
The base salary range for this position in the selected city is $201000 - $395280 annually.
 
​
 
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
 
​
 
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
 
​
 
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
 
​
 
For Los Angeles County (unincorporated) Candidates: 
​
 
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
 
​
 
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
 
​
 
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
 
​
 
3. Exercising sound judgment.
 
​
 
About TikTok
 
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
 
​
 
Why Join Us
 
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
 
​
 
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
 
​
 
​
 
Diversity & Inclusion
 
​
 
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
 
​
 
TikTok Accommodation
 
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
 
https://tinyurl.com/RA-request

TikTok Shop - Data Scientist - AI

Marc

<div>MARC for Medical Services and Scientific Research is an integrative research center that aims to advance science by conducting research in interdisciplinary disease areas. Our goal is to conduct high-priority and ethical basic, preclinical and clinical research, bridging the gap between science and community to improve health and quality of life.
MARC is looking to have an experienced candidate for Bioinformatics Scientist
<ul><li>Key responsibilities:</li></ul><ul>
<li>Lead research projects and experiments.</li>
<li>Supervise and mentor the lab team (senior and junior researchers).</li>
<li>Manage project timelines, resources, and budgets.</li>
<li>Ensure safety and compliance in the lab.</li>
<li>Present research results and findings</li>
</ul>
Requirements<ul>
<li>
PhD in bioinformatics, computational biology, or any biomedical field related to genomics (e.g., pharmacogenomics, biotechnology, health informatics)</li>
<li>0-2 years after PhD in the specialty</li>
<li>Fulfill one of the following: 
<ul><li>Publication record (H-index 3), with at least one first-authored paper</li><li>Assistance in a grant</li></ul></li></ul></div>

Bioinformatics Scientist

MARC

<div>
 MARC for Medical Services and Scientific Research is an integrative research center that aims to advance science by conducting research in interdisciplinary disease areas. Our goal is to conduct high-priority and ethical basic, preclinical and clinical research, bridging the gap between science and community to improve health and quality of life.
 
 
 MARC is looking to have an experienced candidate for
 
 Bioinformatics Scientist
 
 
 
 <ul>
 <li>
 Key responsibilities:
 </li>
 <li>
 Lead research projects and experiments
 </li>
 <li>
 Supervise and mentor the lab team (senior and junior researchers)
 </li>
 <li>
 Manage project timelines, resources, and budgets
 </li>
 <li>
 Ensure safety and compliance in the lab
 </li>
 <li>
 Present research results and findings
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 PhD in bioinformatics, computational biology, or any biomedical field related to genomics (e.g., pharmacogenomics, biotechnology, health informatics)
 </li>
 <li>
 0-2 years after PhD in the specialty
 </li>
 <li>
 Fulfill one of the following:
 </li>
 <li>
 Publication record (H-index &ge; 3), with at least one first-authored paper
 </li>
 <li>
 Assistance in a grant
 </li>
 </ul>
</div>

General Motors (GM)

<div>Job Description
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We&rsquo;re turning today&rsquo;s impossible into tomorrow&rsquo;s standard &mdash;from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale..
The Role
Our Product Safety Data Analytics team is seeking an experienced AI/ML Data Scientist with hands-on experience in the full end to end data science lifecycle for artificial intelligence &amp; machine learning.
This role requires programming and statistical techniques to solve complex problems and work within a team framework on new AI/ML solutions.
If you're passionate about driving innovation through AI/ML and have experienced delivering solutions to your customers, this role offers an exciting opportunity to contribute to impactful projects in a dynamic team environment. 
 
As an AI/ML Data Scientist, you will be responsible for working with our customers to understand their challenges and needs, develop new machine learning solutions, work with ML Ops in a cloud environment, develop proof of concepts for new generative AI solutions and Agentic AI solutions.
What You&rsquo;ll Do
<ul><li>Work with our existing business partners to identify opportunities for new AI/ML solutions to enhance processes and enable our team members to be more efficient
</li><li>Train new machine learning models to solve complex business problems.
</li><li>Prototype new AI solutions, including Generative AI, to solve business problems.
</li><li>Develop new Agentic AI solutions to streamline business process
</li><li>Ehnance existing model solutions as business and technology continues to evolve
</li><li>Provide guidance on business problems using statistical methods and can craft ad-hoc reports to share findings and recommendations with business partners.
</li><li>Build statistical models that depict company-wide trends.
</li><li>Perform testing and validation of data sets.
</li><li>Work on and refine storytelling skills to convey ideas and results to leadership, customers and stakeholders
</li></ul>Your Skills &amp; Abilities (Required Qualifications)
<ul><li>Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
</li><li>5+ years of experience in machine learning, engineering, data science, or a related field
</li><li>Looking for experience in the following:
<ul><li>Programming &amp; Frameworks : Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
</li><li>Machine Learning &amp; AI : Large Language Models (LLMs), Generative AI, RAG, Generative AI, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering
</li><li>Data Engineering : Databricks, Hadoop, SQL, Data Pipelines, Data Preprocessing &amp; Feature Engineering
</li><li>Cloud &amp; Big Data Platforms: ( Preferred Microsoft Azure (Data Lake, Machine Learning, Databricks), Nice to Have (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) )
</li><li>Deployment &amp; MLOps: MLflow , Model Monitoring &amp; Versioning, Docker &amp; Kubernetes, GitHub , Jira
</li><li>Data Analysis &amp; Visualization : Tableau, PowerBI, Pandas, NumPy
</li></ul></li><li>Proven track record delivering AI/ML solutions to customers that get continued usage and drive value
</li><li>Excellent communication and collaboration skills, with the ability to work effectively in a team environment
</li><li>Strong problem-solving mindset and a proactive attitude towards learning and self-improvement
</li></ul>What Will Give You A Competitive Edge (Preferred qualifications)
<ul><li>Deep knowledge of GM&rsquo;s Data Ecosystem
</li><li>Deep knowledge of GM&rsquo;s Cloud Technology Stack for Data Science
</li><li>Deep knowledge of Global Product Safety&rsquo;s SFI Process
</li></ul><ul><li>Extensive NLP solutions from business problem statement to deployment and ongoing optimization
</li><li>Expertise with Large Language Models solutions from business problem statement to cloud deployment that have provided significant incremental business value
</li><li>Experience with generative AI solutions that you have developed and deployed into a production environment that have provided significant incremental business value
</li></ul>&amp;#xa;&amp;#xa;GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).&amp;#xa;&amp;#xa;This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.&amp;#xa;&amp;#xa;This job may be eligible for relocation benefits.&amp;#xa;&amp;#xa;
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day &ndash; individually and collectively &ndash; to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being&ndash;at work and at home&ndash;so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources .
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire .
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.</div>

AI/ML Data Scientist (GPSSC)

Attentive.ai

<div>
 
 About Attentive.ai
 
 
 
 Attentive.ai is transforming the field services and construction industries with our flagship AI solution - Beam AI. Our platform empowers businesses to double their bidding capacity and accelerate growth through automation and intelligent insights.
 
 
 More than
 
 1k+ businesses
 
 across the U.S. and Canada already use our products to boost sales velocity and streamline operations. We have raised
 
 $30.5M in Series B funding
 
 , accelerating our mission to make advanced AI tools accessible, practical, and impactful in the real world. We are proudly Backed by Insight Partners, Peak XV (Surge), InfoEdge, Tenacity and Vertex Ventures.
 
 
 
 Position Description
 
 
 
 As an
 
 AI/ML Research Scientist,
 
 you will be an integral part of our AI research team focused on transforming the construction industry through cutting-edge deep learning, computer vision and NLP technologies. You will contribute to the development of intelligent systems for automated construction take-off and estimation by working with unstructured data such as blueprint, drawings (including SVGs), and PDF documents.
 
 
 In this role, you will support the end-to-end lifecycle of AI-based solutions &mdash; from prototyping and experimentation to deployment in production. Your contributions will directly impact the scalability, accuracy, and efficiency of our products.
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Build and deploy ML models for parsing and reasoning over construction blueprint PDFs - working with image, text and vector graphics modalities
 </li>
 <li>
 Design data pipelines for training, validation, and continuous improvement.
 </li>
 <li>
 Improve model accuracy, latency, and scalability for production workloads.
 </li>
 <li>
 Contribute to system architecture decisions for ML deployment and monitoring.
 </li>
 <li>
 Collaborate with cross-functional teams including software engineers, ML researchers, and product teams
 </li>
 <li>
 Write clean, scalable, and production-ready code
 
 
 </li>
 </ul>
 
 Skills &amp; Requirements
 
 
 
 <ul>
 <li>
 3&ndash;5 years of experience in applied AI/ML and research, preferably with focus on computer vision.
 </li>
 <li>
 PhD or Master's degree in deep learning, coupled with research experience focused on image modalities.
 </li>
 <li>
 Experience working with document understanding, OCR pipelines, or structured extraction systems is a plus.
 </li>
 <li>
 Deep understanding of unsupervised learning techniques like clustering, dimensionality reduction, and representation learning.
 </li>
 <li>
 Proficiency in Python and ML frameworks such as PyTorch, OpenCV, TensorFlow, and HuggingFace Transformers.
 </li>
 <li>
 Hands-on experience with model optimization techniques (e.g., quantization, pruning, knowledge distillation)
 </li>
 <li>
 Familiarity with LLM based systems and architectures
 </li>
 <li>
 Comfortable working in a fast-moving, ownership-driven environment.
 
 
 </li>
 </ul>
 
 Why Work With Us?
 
 
 
 <ul>
 <li>
 Be part of a visionary team building a first-of-its-kind AI solution for the construction industry.
 </li>
 <li>
 Exposure to real-world AI deployment and cutting-edge research in vision and multimodal learning.
 </li>
 <li>
 Culture that encourages ownership, innovation, and growth.
 </li>
 <li>
 Opportunities for fast learning, mentorship, and career progression.
 </li>
 </ul>
</div>

AI/ML Research Scientist

Search 786+ Informatics scientist jobs near you this March. New roles added regularly across leading industries. Apply today.

786 informatics scientist jobs Near Me

Computational Materials Discovery Scientist

Intern, Molecular Modeling & Informatics

TikTok Shop - Data Scientist - AI

Bioinformatics Scientist

Bioinformatics Scientist

AI/ML Data Scientist (GPSSC)

AI/ML Research Scientist