15,017 AI Researcher jobs in India
AI Researcher
Posted today
Job Viewed
Job Description
Apply ( Location:Bangalore, India
+ Area of InterestEngineer - Software
+ Job TypeProfessional
+ Technology InterestNetworking, Security
+ Job Id
**Meet the Team**
**The Cisco AI team delivers AI products and platform for all Cisco secure products and portfolios so businesses around the world defend against threats and safeguard the most vital aspects of your business with security resilience. We are passionate about making businesses secure and simplify security with zero compromise using AI and Machine Learning. We are seeking a strong Machine Learning Engineer who can make a big difference in the cybersecurity industry.**
**Your Impact**
**You are an accomplished and visionary AI Researcher with a track record of leading teams and architecting machine learning solutions that have made a significant impact. You are deeply passionate about machine learning with a proven track record of optimally developing and implementing models that address real-world problems.**
**What You Will Do**
+ **Model Training & Evaluation: Full cycle of training, fine-tuning, and validating LLMs for virtual assistants, chatbots, and recommendation systems.**
+ **Algorithm Development: Enhance efficiency and accuracy in natural language understanding and generation.**
+ **LLMs in Cybersecurity: Apply models for threat analysis, detection, and automated security responses.**
+ **Deployment Strategy: Partner with engineering teams to ensure scalable, reliable ML model deployment.**
+ **Documentation & Standards: Define best practices and maintain clear records of models, pipelines, and metrics.**
+ **Innovation: Explore emerging technologies, tools, and methods in language model development.**
+ **Mentorship & Collaboration: Guide team members and work cross-functionally for cohesive project delivery.**
**Basic Qualifications**
+ **Education & Experience: BA/BS or MS with 8+ years in machine learning, proven project portfolio.**
+ **ML Systems & Algorithms: Strong background in ML engineering, deep learning, and statistical modeling; experience building scalable ML solutions.**
+ **LLM Expertise: In-depth knowledge of Transformer-based architectures (e.g., GPT) and training/fine-tuning large-scale models; exposure to Agentic frameworks.**
+ **NLP Skills: Data preprocessing (tokenization, stemming, lemmatization), handling ambiguity and context, and transfer learning for domain/language adaptation.**
+ **Applications: Applied LLMs in chatbots, content generation, semantic search, and related use cases.**
+ **Data & Evaluation: Skilled in data annotation strategies and model evaluation with appropriate metrics.**
+ **Scalability & Deployment: Experience deploying LLMs to production with efficiency, reliability, and scalability.**
**Preferred Qualifications:**
+ **Degree in Computer Science, Data Science, Statistics, Computational Linguistics or a related field.**
+ **Proficiency in programming languages such as Python or R, and experience with machine learning libraries (e.g., TensorFlow, PyTorch)**
+ **Excellent problem-solving and communication skills, with the ability to explain sophisticated concepts to non-technical partners**
+ **Proven experience to work collaboratively in multi-functional teams**
**#WeAreCisco**
**#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.**
**Our passion is connection, we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture supports hybrid work trends, allowing all to not only give their best, but be their best.**
**We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be advised allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do!**
**Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reinvent their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all.**
**#CiscoAIJobs**
**Cisco is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.**
**Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.**
**Message to applicants applying to work in the U.S. and/or Canada:**
When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees haveaccess ( to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
AI Researcher
Posted today
Job Viewed
Job Description
**Position Overview:**
We are seeking for an experienced AI Researcher with a focus on marketing research to join our dynamic team. The ideal candidate should have a strong background in trend analysis, industry study, and providing actionable insights that will inform our brand strategies and target key regions effectively.
**Key Responsibilities:**
Conduct comprehensive marketing research to identify industry trends and consumer behaviors.
Analyze data from various sources, utilizing AI tools and methodologies to extract meaningful insights.
Develop reports and presentations summarizing findings, showcasing key insights and recommendations.
Collaborate with marketing and strategy teams to align research findings with business goals.
Identify key regions and market sectors for brand expansion and focus.
Stay updated with industry trends and innovations in AI and marketing, applying this knowledge to enhance research methodologies.
**Qualifications:**
Bachelors or Masters degree in Marketing, Business Analytics, Data Science, or a related field.
Proven experience in marketing research and trend analysis, preferably in an AI context.
Strong analytical skills with the ability to interpret complex data sets and provide strategic insights.
Experience using AI tools for research and data analysis.
Excellent communication and presentation skills, with the ability to convey insights clearly.
Collaborative mindset with the ability to work effectively within a team.
**Preferred Skills:**
Familiarity with marketing automation tools and data visualization software.
Understanding of digital marketing trends and strategies.
Experience in implementing research findings into actionable marketing strategies.
AI Researcher
Posted today
Job Viewed
Job Description
Role & responsibilities
Research and prototype AI models for demand forecasting, inventory planning, and market Penetration
Support in data preparation and analysis from ERPNext, Shopify, Amazon, and marketing platforms.
Experiment with natural language processing (NLP) for product descriptions,customer service automation.
Assist in developing predictive models for sales trends and customer buying behavior.
Document research outcomes and present findings to management.
Collaborate with marketing, supply chain, and sales teams to identify practical use-cases of AI.
Preferred candidate profile
We are looking for an AI Researcher Intern who is passionate about applying Artificial Intelligence to solve real-world business challenges. The intern will support projects across supply chain forecasting, inventory optimization, sales prediction, marketing automation, and customer behavior analysis. This role is perfect for students or young professionals who are eager to experiment, learn, and create meaningful impact in the pet care industry.
AI Researcher
Posted today
Job Viewed
Job Description
About Tungsten Automation & TotalAgility
Tungsten Automation is a global leader in intelligent automation, workflow & intelligent document process solutions empowering organizations to streamline business processes with cutting-edge AI solutions. Our flagship product, TotalAgility, leverages advanced AI to revolutionize business process automation and deliver measurable value to our customers worldwide.
Role Overview
We are seeking a highly motivated AI Researcher to join our Product Management & Marketing team, supporting the continued innovation and market leadership of the TotalAgility platform. This offshore role is pivotal in shaping product vision, driving content marketing, and ensuring our solutions remain at the forefront of AI advancements.
Key Responsibilities:
Vision Building & Thought Leadership
- Collaborate with product management, marketing and R&D teams to shape and refine the AI vision for TotalAgility.
- Continuously monitor the evolving AI landscape, identifying trends and emerging technologies relevant to workflow automation and intelligent document processing.
- Develop vision prototypes and demonstrations, leveraging new, cutting-edge AI models and algorithms to explore the art of the possible.
- Share insights and recommendations with internal stakeholders to inform product strategy and marketing initiatives.
- Translate technical capabilities into compelling product narratives and future roadmaps.
Product Management Ops
- Create, document & review user stories, feature overviews, product requirements documents & enhancement requests in collaboration with product owners & R&D.
- Support the internal “Field Request” process to research & prioritise specific enhancement requests raised in relation to sales opportunities.
- Support RFP responses, infosec reviews, and customer briefings by providing technical insights and clear explanations of AI capabilities.
- Participate in customer meetings, analyst briefings and industry events as a subject matter expert.
- Undertake specific data analysis, market research & technology prototyping projects as directed by product owners.
- Create monthly reports & analysis on adoption of AI capabilities across the product set.
- Scope, specific & oversee specific AI related research projects undertaken by 3rd party contractors.
- Support Cost of Good Sold analysis for AI services included in products.
Content Marketing
- Create high-impact marketing assets, including explainer videos, technical blogs, demonstrations, and whitepapers, to showcase AI-driven features and use cases.
- Partner with marketing teams to ensure technical accuracy and engaging storytelling in all content.
Research, Benchmarking & Testing
- Conduct in-depth research and benchmarking of AI technologies, both for current product features and pre-development exploration.
- Design and execute experiments to validate new AI concepts and assess competitive positioning.
- Monitor country specific AI compliance laws & regulations, conducting additional research as directed by product owners.
- Assist in preparing documentation and evidence for AI due diligence and compliance audits, ensuring TotalAgility’s AI features meet regulatory and industry standards.
While the job description describes what is anticipated as the requirements of the position, the job requirements are subject to change based upon any changing needs and requirements of the business.
Required Skills
Prompt Engineering.
Experience working with RAG / Vector Databases (e.g. AI Search, Pinecone etc.).
Programming (e.g. Python, C#, JavaScript).
Experience with at least one major cloud platform (AWS, GCP or Azure), including the use of LLMs, IDP & Computer Vision services on this platform.
Experience working with machine learning and/or LLM model training.
Ideally certification in AI, for example Azure AI Engineer Associate or Azure Data Science Associate.
Ideally experience working with Graph Databases.
Required Experience
- Degree level qualification in Computer Science, Artificial Intelligence, Data Science, or related field.
- Proven experience in AI research, working with technologies such as IDP, OCR, LLMs, RAG & AI Knowledge Bases / Graphs.
- Hands-on experience preparing & automating data for machine learning (python, json, sql), integrating REST APIs (inc streamed data), prompt engineering and working with low code automation platforms.
- Hands-on experience working with web technologies (HTML, JavaScript, CSS) a bonus.
- Experience working with storage, databases & AI services from cloud vendors such as Microsoft & AWS.
- Familiarity with approaches to automated testing and benchmarking of AI solutions.
- Strong technical writing and content creation skills, ideally with a portfolio of blogs, videos, or whitepapers.
- Excellent communication and collaboration skills, with the ability to translate complex AI concepts for diverse audiences.
- Self-driven, proactive, and comfortable working in a remote, cross-functional team.
Tungsten Automation Corporation, Inc. is an Equal Opportunity Employer M/F/Disability/Vets
Prompt Engineering.
Experience working with RAG / Vector Databases (e.g. AI Search, Pinecone etc.).
Programming (e.g. Python, C#, JavaScript).
Experience with at least one major cloud platform (AWS, GCP or Azure), including the use of LLMs, IDP & Computer Vision services on this platform.
Experience working with machine learning and/or LLM model training.
Ideally certification in AI, for example Azure AI Engineer Associate or Azure Data Science Associate.
Ideally experience working with Graph Databases.
AI Researcher
Posted today
Job Viewed
Job Description
About Tungsten Automation & TotalAgility
Tungsten Automation is a global leader in intelligent automation, workflow & intelligent document process solutions empowering organizations to streamline business processes with cutting-edge AI solutions. Our flagship product, TotalAgility, leverages advanced AI to revolutionize business process automation and deliver measurable value to our customers worldwide.
Role Overview
We are seeking a highly motivated AI Researcher to join our Product Management & Marketing team, supporting the continued innovation and market leadership of the TotalAgility platform. This offshore role is pivotal in shaping product vision, driving content marketing, and ensuring our solutions remain at the forefront of AI advancements.
Key Responsibilities:
Vision Building & Thought Leadership
Product Management Ops
Content Marketing
Research, Benchmarking & Testing
While the job description describes what is anticipated as the requirements of the position, the job requirements are subject to change based upon any changing needs and requirements of the business.
Required Skills
Prompt Engineering.
Experience working with RAG / Vector Databases (e.g. AI Search, Pinecone etc.).
Programming (e.g. Python, C#, JavaScript).
Experience with at least one major cloud platform (AWS, GCP or Azure), including the use of LLMs, IDP & Computer Vision services on this platform.
Experience working with machine learning and/or LLM model training.
Ideally certification in AI, for example Azure AI Engineer Associate or Azure Data Science Associate.
Ideally experience working with Graph Databases.
Required Experience
Tungsten Automation Corporation, Inc. is an Equal Opportunity Employer M/F/Disability/Vets
Applied AI Researcher
Posted today
Job Viewed
Job Description
About the Role
QpiAI works at the intersection of AI and Quantum Computing, developing groundbreaking solutions to tackle some of the most complex challenges across various industries. Our team is dedicated to pushing the boundaries of innovation and delivering exceptional results to our enterprise clients, driving significant impact.
We are seeking an exceptional Applied AI Researcher to join our innovative research team. This role will focus on advancing our AI capabilities through rigorous experimentation, multi-agent systems design, domain-specific scaffolding, and evaluation methodology development. Through this role you will get the opportunity to develop Compound AI systems impacting areas like Drug Discovery, Decision Intelligence, Chip Design , Quantum Computing etc.
Key Responsibilities
- Design and implement novel multi-agent architectures that enable complex problem-solving and collaboration
- Develop domain-specific scaffolding techniques to guide AI systems in specialized environments
- Create and curate high-quality datasets for training and evaluating AI systems across various domains
- Establish comprehensive evaluation frameworks to measure system performance, robustness, and alignment
- Research and implement reinforcement learning approaches for agent behavior optimization
- Develop techniques for post-training optimization and domain adaptation
- Collaborate with cross-functional teams to translate research findings into practical applications
- Stay current with the latest advancements in AI research and contribute to the research community
- Document methodologies, findings, and best practices for internal knowledge sharing
Qualifications
- Advanced degree (MS or PhD) in Computer Science, Machine Learning, AI, or related technical field
- 4+ years of experience in applied AI research
- Strong mathematical foundations in optimization, probability theory, and linear algebra
- Extensive expertise in Python programming and software development
- Strong proficiency in PyTorch or JAX for implementing and scaling AI models
- Experience in curating datasets, pre-training, and aligning multimodal small language models
- Demonstrated experience with various reinforcement learning post-training methods (RLHF, DPO, GRPO, SFT, etc.)
- Experience with prompting methods like Chain of Thought and curating Chain of Thought datasets
- Experience training small reasoning models for specific applications
- Familiarity with various alignment methods and value learning techniques
- Experience with multi-agent systems design and implementation
- Knowledge of distributed training on multi-node, multi-GPU clusters
- Experience with dataset curation, cleaning, and augmentation for diverse AI tasks
- Strong understanding of model evaluation metrics and methodology development
- Excellent communication skills and ability to present complex technical concepts clearly
Preferred Experience
- Publication record in top-tier AI/ML conferences (NeurIPS, ICLR, AAMAS, ICML)
- Experience applying AI to scientific domains such as drug discovery, materials science, chip design, or mathematical reasoning
- Experience working with vision-language models and multimodal architectures
- Demonstrated success in developing efficient small language models for specialized tasks
- Research experience in open-endedness, including emergent behaviors, auto-curriculum learning, or open-world agent systems for design of experiments, hypothesis generation.
- Background in computational chemistry, physics, electrical engineering, or mathematics
- Experience with Kubernetes and containerized workflow orchestration
- Familiarity with ML infrastructure tools like Ray, Hydra, or MLflow
- Knowledge of interpretability methods and system analysis approaches
- Experience with domain adaptation for specialized scientific applications
- Open-source contributions to AI research or tooling
- Experience in developing custom GPU accelerated pipelines.
- Experience optimizing large-scale models for inference and deployment.
What We Offer
- Opportunity to work on cutting-edge AI research with real-world impact
- Access to substantial computational resources for large-scale experimentation
- Collaborative environment with top researchers and engineers
- Flexibility to pursue novel research directions within the company's mission
- Competitive compensation and benefits package
Join us in shaping the future of intelligent systems and their applications across diverse scientific domains.
Gen AI Researcher
Posted 2 days ago
Job Viewed
Job Description
Job Location: Chennai, Bangalore, Noida, Hyderabad
As a Gen AI Researcher, you will develop and optimize domain specific large language models (LLMs) and small language models (SLMs) to address unique domain specific challenges and deliver innovative solutions. Your role includes creating advanced SLMs and LLMs for specific domains, focusing on supervised fine tuning, reinforcement learning from human feedback (RLHF), pre and post training, evaluation, and multi-modalities.
Key Responsibilities:
- Conduct cutting edge research in the field of NLP and develop advanced SLMs and LLMs tailored to domain specific applications.
- Design, implement, and optimize language models to solve domain specific problems effectively and efficiently.
- Analyze and preprocess large datasets to ensure high-quality input for training SLMs and LLMs.
- Design and Evaluate the performance of language models using appropriate metrics and benchmarks, and iterate on improvements.
- Developing and implementing methods that extend and improve model capabilities, reliability, and safety
- Work closely with cross functional teams, including domain experts, data engineers, and software engineers, to integrate language models into the production.
- Publish research findings in top tier conferences and journals, and communicate results to both technical and non technical stakeholders.
- Keep abreast of the latest advancements in the field of NLP, ML, and AI, and apply relevant techniques to ongoing projects.
Qualifications:
- Ph.D. in Computer Science, Computational Linguistics , Data Science, Artificial Intelligence, or a related field with a focus on NLP or ML.
- Bachelor's or Master’s degree in Computer Science, Computer Engineering, relevant technical field.
- At least 1 year of experience in developing and optimizing SLMs and LLMs, focusing on foundation model training, supervised fine tuning, reinforcement learning from human feedback (RLHF).
- Solid understanding of various fine-tuning techniques like full fine tuning, PEFT techniques like LoRA, QLoRA and the strategy to adopt for various objectives
- Have solid ML and RL software engineering and scientific research skills
- Have produced novel research related to fine tuning SLMs / LLMs or improving upon pretrained SLMs / LLMs
- Proven experience in Gen AI libraries / frameworks, including but not limited to LangChain, LangGraph, LlamaIndex and LangSmith.
- At least 5 years of Research experience in one or more of these areas: NLP, speech, computer vision, Multimodal, machine learning, deep learning, or related fields.
- Proficiency in programming languages such as Python, and experience with NLP/ML frameworks like TensorFlow, PyTorch, and Hugging Face, as evidenced by released code (e.g. on GitHub) or elsewhere
- Familiarity with domain specific applications and the ability to translate domain knowledge into effective language models.
- Knowledge of Responsible AI practices and compliance with relevant laws is a plus.
- Industry experience with large-scale data processing, distributed computing, or cloud platforms.
- Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms is a plus.
- Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.
- Ability to work collaboratively in a team environment and contribute to a positive and productive work culture.
Be The First To Know
About the latest Ai researcher Jobs in India !
Applied AI Researcher
Posted today
Job Viewed
Job Description
About the Role
QpiAI works at the intersection of AI and Quantum Computing, developing groundbreaking solutions to tackle some of the most complex challenges across various industries. Our team is dedicated to pushing the boundaries of innovation and delivering exceptional results to our enterprise clients, driving significant impact.
We are seeking an exceptional Applied AI Researcher to join our innovative research team. This role will focus on advancing our AI capabilities through rigorous experimentation, multi-agent systems design, domain-specific scaffolding, and evaluation methodology development. Through this role you will get the opportunity to develop Compound AI systems impacting areas like Drug Discovery, Decision Intelligence, Chip Design , Quantum Computing etc.
Key Responsibilities
- Design and implement novel multi-agent architectures that enable complex problem-solving and collaboration
- Develop domain-specific scaffolding techniques to guide AI systems in specialized environments
- Create and curate high-quality datasets for training and evaluating AI systems across various domains
- Establish comprehensive evaluation frameworks to measure system performance, robustness, and alignment
- Research and implement reinforcement learning approaches for agent behavior optimization
- Develop techniques for post-training optimization and domain adaptation
- Collaborate with cross-functional teams to translate research findings into practical applications
- Stay current with the latest advancements in AI research and contribute to the research community
- Document methodologies, findings, and best practices for internal knowledge sharing
Qualifications
- Advanced degree (MS or PhD) in Computer Science, Machine Learning, AI, or related technical field
- 4+ years of experience in applied AI research
- Strong mathematical foundations in optimization, probability theory, and linear algebra
- Extensive expertise in Python programming and software development
- Strong proficiency in PyTorch or JAX for implementing and scaling AI models
- Experience in curating datasets, pre-training, and aligning multimodal small language models
- Demonstrated experience with various reinforcement learning post-training methods (RLHF, DPO, GRPO, SFT, etc.)
- Experience with prompting methods like Chain of Thought and curating Chain of Thought datasets
- Experience training small reasoning models for specific applications
- Familiarity with various alignment methods and value learning techniques
- Experience with multi-agent systems design and implementation
- Knowledge of distributed training on multi-node, multi-GPU clusters
- Experience with dataset curation, cleaning, and augmentation for diverse AI tasks
- Strong understanding of model evaluation metrics and methodology development
- Excellent communication skills and ability to present complex technical concepts clearly
Preferred Experience
- Publication record in top-tier AI/ML conferences (NeurIPS, ICLR, AAMAS, ICML)
- Experience applying AI to scientific domains such as drug discovery, materials science, chip design, or mathematical reasoning
- Experience working with vision-language models and multimodal architectures
- Demonstrated success in developing efficient small language models for specialized tasks
- Research experience in open-endedness, including emergent behaviors, auto-curriculum learning, or open-world agent systems for design of experiments, hypothesis generation.
- Background in computational chemistry, physics, electrical engineering, or mathematics
- Experience with Kubernetes and containerized workflow orchestration
- Familiarity with ML infrastructure tools like Ray, Hydra, or MLflow
- Knowledge of interpretability methods and system analysis approaches
- Experience with domain adaptation for specialized scientific applications
- Open-source contributions to AI research or tooling
- Experience in developing custom GPU accelerated pipelines.
- Experience optimizing large-scale models for inference and deployment.
What We Offer
- Opportunity to work on cutting-edge AI research with real-world impact
- Access to substantial computational resources for large-scale experimentation
- Collaborative environment with top researchers and engineers
- Flexibility to pursue novel research directions within the company's mission
- Competitive compensation and benefits package
Join us in shaping the future of intelligent systems and their applications across diverse scientific domains.
Applied AI Researcher
Posted today
Job Viewed
Job Description
About us:
At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business.
Job Description:
Articul8 AI is seeking an exceptional
Applied AI Researcher
to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for implementing novel algorithms and models capable of handling diverse modalities such as text, images, audio, video, and time series data.
Responsibilities:
- Serve as the subject matter expert in various domains such as data pipelines, pre-training and post-training, reinforcement learning, model architecture development and optimization, multi-expert systems, and multimodal models and techniques.
- Play a pivotal role in pioneering technologies through all stages, from initial brainstorming and experimentation to validation and deployment.
- Collaborate with cross-functional teams to seamlessly incorporate innovation and maintain our product technology leadership.
- Continuously stay abreast of emerging trends and advancements in of GenAI and associated fields, while disseminating appropriate research results at top-tier conferences and journals.
Required Qualifications:
- Education: PhD degree in Computer Science, Machine Learning (ML), or a related field; or alternatively, MSc Degree and experience (4+ years post BSc graduation) as a practicing researcher.
- Professional experience: proven track record as a researcher working in the design and implementation of ML/AI models and algorithms aimed at solving complex, real-world problems. A strong background in parallel/distributed computing (preferably on the cloud).
Core technical skills:
Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.
Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation.
Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial.
Preferred Qualifications:
- 4+ years of hands-on experience as an applied ML/AI researcher
- Experience with cloud computing platforms such as AWS, Azure, or GCP.
- Proven track record of publications in top-tier conferences and journals
Professional Attributes:
- Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence.
- Collaboration and Communication: proficiency in working within cross-functional teams - communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives.
- Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results.
- Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base.
- Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions.
If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team.
Gen AI Researcher
Posted today
Job Viewed
Job Description
Job Location:
Chennai, Bangalore, Noida, Hyderabad
As a Gen AI Researcher, you will develop and optimize domain specific large language models (LLMs) and small language models (SLMs) to address unique domain specific challenges and deliver innovative solutions. Your role includes creating advanced SLMs and LLMs for specific domains, focusing on supervised fine tuning, reinforcement learning from human feedback (RLHF), pre and post training, evaluation, and multi-modalities.
Key Responsibilities:
- Conduct cutting edge research in the field of NLP and develop advanced SLMs and LLMs tailored to domain specific applications.
- Design, implement, and optimize language models to solve domain specific problems effectively and efficiently.
- Analyze and preprocess large datasets to ensure high-quality input for training SLMs and LLMs.
- Design and Evaluate the performance of language models using appropriate metrics and benchmarks, and iterate on improvements.
- Developing and implementing methods that extend and improve model capabilities, reliability, and safety
- Work closely with cross functional teams, including domain experts, data engineers, and software engineers, to integrate language models into the production.
- Publish research findings in top tier conferences and journals, and communicate results to both technical and non technical stakeholders.
- Keep abreast of the latest advancements in the field of NLP, ML, and AI, and apply relevant techniques to ongoing projects.
Qualifications:
- Ph.D. in Computer Science, Computational Linguistics , Data Science, Artificial Intelligence, or a related field with a focus on NLP or ML.
- Bachelor's or Master's degree in Computer Science, Computer Engineering, relevant technical field.
- At least 1 year of experience in developing and optimizing SLMs and LLMs, focusing on foundation model training, supervised fine tuning, reinforcement learning from human feedback (RLHF).
- Solid understanding of various fine-tuning techniques like full fine tuning, PEFT techniques like LoRA, QLoRA and the strategy to adopt for various objectives
- Have solid ML and RL software engineering and scientific research skills
- Have produced novel research related to fine tuning SLMs / LLMs or improving upon pretrained SLMs / LLMs
- Proven experience in Gen AI libraries / frameworks, including but not limited to LangChain, LangGraph, LlamaIndex and LangSmith.
- At least 5 years of Research experience in one or more of these areas: NLP, speech, computer vision, Multimodal, machine learning, deep learning, or related fields.
- Proficiency in programming languages such as Python, and experience with NLP/ML frameworks like TensorFlow, PyTorch, and Hugging Face, as evidenced by released code (e.g. on GitHub) or elsewhere
- Familiarity with domain specific applications and the ability to translate domain knowledge into effective language models.
- Knowledge of Responsible AI practices and compliance with relevant laws is a plus.
- Industry experience with large-scale data processing, distributed computing, or cloud platforms.
- Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms is a plus.
- Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.
- Ability to work collaboratively in a team environment and contribute to a positive and productive work culture.