1,323 AI Architecture jobs in India

Member of Technical Staff - AI/ML [ Natural Language Processing, Transformers, Gen AI, LLM, Neura...

Bangalore, Karnataka Nutanix

Posted 2 days ago

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**Hungry, Humble, Honest, with Heart.**
**The Opportunity**
At Nutanix, we're redefining intelligent observability with Panacea.ai - an AI/ML-powered platform that automatically detects, explains and correlates anomalies across logs and metrics.
In version 1.0, we used regex-based filters along with historical data to identify anomalies. In version 2.0, we advanced to **AI/ML** and capabilities that deliver deeper, context-rich anomaly detection and are working on building an **enterprise-grade automated RCA (Root Cause Analysis) engine** - powered by an **agentic platform** that integrates **MCP servers** as tools, and a conversational interface that enables users to query, explore and discuss issues as naturally as a chat.
We're seeking a passionate and driven Engineer to work on this mission-critical initiative. This is a hands-on, high-impact role where you will work on this AI/ML innovation, and shape Nutanix's central AI charter. You'll be at the forefront of building enterprise-scale, AI-first observability solutions.
**About the Team**
The **Panacea** team has a passionate set of engineers across India and US office. We move fast, collaborate closely, and care deeply about quality and ownership. Our mission is to deliver **AI/ML-powered developer productivity tools** that solve real engineering and support pain points at scale.
Why Join Us
+ Work along with **high-impact team** delivering AI-first observability tools that directly improve engineering velocity and product quality.
+ Tackle **challenging technical and product problems** at scale and speed.
+ Shape the **foundational AI platform and practices** across Nutanix.
+ Enjoy the **flexibility of hybrid work** , with a culture that values deep work, collaboration, and ownership.
+ Be part of a **startup-style team** backed by the scale, reach, and stability of a global cloud leader.
**Your Role**
+ **Auto RCA Engine:** Deliver an AI-driven engine that correlates logs and metrics across distributed services, automatically surfacing explanations for incidents. This includes an **agentic platform** that integrates **MCP servers** as tools, alongside a **chat-like conversational interface** that enables engineers to query issues, run diagnostics, and collaborate on RCA in natural language. Here, LLMs will power interactive diagnostics and human-like discussions around problem-solving.
+ **AI-Powered Observability Platform:** Own the vision, architecture, and delivery of Panacea's ML-based log and metrics analyzer that reduces triage time and improves engineering efficiency. This includes leveraging LLMs for anomaly explanation, RCA summaries, and contextual recommendations to engineers and support teams.
+ **Knowledge Base Creation:** Build a robust **company-wide knowledge base** that consolidates product, observability, and system data into structured formats. This knowledge base will serve as a foundation for LLMs, enhancing their ability to reason, answer queries, and provide deeper insights into system anomalies.
+ **Metrics Anomaly Detection:** Development of models that detect anomalies in **CPU, memory, disk I/O, network traffic, and service health** , enabling proactive identification of performance regressions. LLMs will assist in summarizing anomalies and providing contextual recommendations for remediation.
+ **Feedback Loop & Continuous Learning:** Build infrastructure that captures user interactions and feedback, using LLMs and ML pipelines to retrain and improve anomaly detection and RCA accuracy over time.
+ **Central AI Charter:** Collaborate with product and support teams to define foundational AI infrastructure, shared ML components, governance practices, and standards that scale across Nutanix's product ecosystem.
Responsibilities
+ Apply expertise in **LangGraph, LangChain, agentic AI architectures, and multi-agent orchestration** to build intelligent, scalable workflows.
+ Design and develop **conversational AI systems** (chatbots, copilots, or support assistants) for incident triage and RCA.
+ Implement correlation models to connect anomalies across logs and metrics, forming a cohesive **RCA narrative** .
+ **End-to-end ML lifecycle** : data ingestion, feature extraction, model training, evaluation, deployment, and monitoring.
+ Build **explainable AI systems** that increase adoption and trust within engineering, QA, and support teams.
+ Collaborate with cross-functional stakeholders (SRE, QA, Dev) to deeply understand pain points and translate them into intelligent tooling.
**What You Will Bring**
+ **Educational Background** : B.Tech/M.Tech in Computer Science, Machine Learning, AI, or a related field.
+ **Experience** : 6+ years in software engineering, with a track record of designing, developing, and deploying AI/ML systems at scale,
+ **AI/ML Expertise** :
+ Strong in time-series anomaly detection, statistical modeling, supervised/unsupervised learning.
+ Experience building ML models for metrics data (CPU, memory, IOPS, network, etc.) using models like Isolation Forest, Prophet, LSTM, or deep autoencoders.
+ Experience with LLMs for downstream tasks like summarization, root cause reasoning, or intelligent Q&A.
+ Preferred experience in designing and deploying agentic workflows.
+ **Engineering Skills:** Strong Python programming skills with proficiency in ML libraries (PyTorch, TensorFlow, Scikit-learn), time-series frameworks, and MLOps tools. Experience building and operating robust data pipelines and serving models at scale.Observability Knowledge: Familiarity with logs, metrics, and traces, along with monitoring tools such as Prometheus, Grafana, and ELK
**Work Arrangement**
Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. For most roles, that will mean coming into an office a minimum of 3 days per week, however certain roles and/or teams may require more frequent in-office presence. Additional team-specific guidance and norms will be provided by your manager.
We're an Equal Opportunity Employer Nutanix is an Equal Employment Opportunity and (in the U.S.) an Affirmative Action employer. Qualified applicants are considered for employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, protected veteran status, disability status or any other category protected by applicable law. We hire and promote individuals solely on the basis of qualifications for the job to be filled. We strive to foster an inclusive working environment that enables all our Nutants to be themselves and to do great work in a safe and welcoming environment, free of unlawful discrimination, intimidation or harassment. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you need a reasonable accommodation, please let us know by contacting
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Deep Learning Engineer

Bengaluru, Karnataka AIMonk Labs Private Ltd

Posted 5 days ago

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Job description

A job where you increase the depth of your expertise in computer vision.

A job where you learn and implement the SOTA papers.

A job where you write vectorized code that runs in seconds, not in minutes.

A job where models learn to see and understand the world around them.

A job where models run real-time because you optimize every byte.

A job where you keep the career promises that you made to yourself.

A job where you keep the learning promises that you made to yourself.


If this scares you, don't read. If this excites you, we might love you.


We are looking for a passionate Machine Learning Engineer to join our team. The ideal candidate will be an enthusiastic developer with 3-5 years of experience in the field of Computer Vision and Artificial Intelligence. If building things and writing code excite you, this is the startup you belong.


Key Technologies:

  • Must be an expert in Python and Numpy.
  • Experience with Tensorflow/Keras/Pytorch is required.
  • Unsatiable hunger for writing beautiful code.
  • Knowledge of python design-patterns.
  • Some experience with C++ is preferred.
  • Knowledge working closely with version control (GIT).
  • Excellent communication skills and being able to work independently.
  • Strong problem-solving and coding skills override everything else written above.


About AIMonk:


Run by IIT Kanpur alumni, AIMonk is a deep tech startup. We build beautiful and scalable software using computer vision and deep learning. We pride ourselves in solving problems nobody else can in the space.

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Cloud Solution Architecture - Data & AI

Bangalore, Karnataka Microsoft Corporation

Posted 2 days ago

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With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft's products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers' expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft's portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world.
The Global Customer Success (GCS) organization, an organization within CE&S, is leading the effort to enable customer success on the Microsoft Cloud by harnessing leading, AI-powered capabilities and human expertise to deliver innovation solutions that accelerate business value, drive operational excellence and nurture long term loyalty.
Are you looking for a role where you can interact directly with large enterprise customers to improve their Azure Data and SQL related technologies? If so, we are looking for you!
We are seeking a Cloud Solution Architect in the CSA Global Delivery organization with deep expertise in Azure Data and SQL. As a key technical resource for the customer, you will be primarily focused on delivering proactive services such as education workshops, delivering assessments, and providing tailored guidance. Troubleshooting skills are essential as this role will include working with Microsoft Support to expedite incident resolution.
The CSA Global Delivery team is a centralized group consisting of both full-time employees (FTEs) and Vendor CSAs dedicated to enhancing the customer's experience with Microsoft as they transition to hybrid/public cloud solutions.
Microsoft's mission is to empower every person and every organization on the planet to achieve more.
This role is flexible in that you can work up to 50% from home.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
You will be planning and delivering proactive and reactive support including onsite presence as needed
· You will Identify and manage customer goals and SfMC opportunities to improve the quality, consumption, and health of the customer's solution.
· You will drive and participate in proactive delivery management: spot performance issues, analyze problems, and drive activities focused on stabilizing and optimizing your customer's solution.
· You will work with internal Microsoft support teams, account teams, product engineering and service engineering teams and other stakeholders to ensure a streamlined and efficient customer support experience.
· You will apply and share lessons learned for continuous process and delivery improvement for the customer and peers.
· You will engage in meetings with your customers and account teams to review Support for Mission Critical services, customer support issues, and articulate your Customer Success Plans.
· You will share and gain knowledge through technical communities.
Technical Leadership
· Demonstrate the capability to act as CSA Pod Lead with ability to drive planning and delivery of Pod team by engaging CSAM and ATU, manage customer relationship by conducting monthly engagement reviews and assuring quality and be accountable for capacity planning, hiring, skilling and utilization of Pod members.
· Proactively develops technical and professional learning and development plan in alignment with and support from their manager. Role models effective technical readiness. Acts as a mentor and role model to less experienced colleagues to educate them on technical and non-technical concepts. Participates in development opportunities (e.g., Ready, Build, Ignite).
· Shares ideas, insights, and strategic technical input with technical teams, internal communities across the field, and the larger virtual team across Microsoft using a thorough knowledge of specific Microsoft products and their context in the competitive landscape. Participates in external technical community events (e.g., conferences, seminars, technical meetups, Webcasts, blogs, hackathons) and shares learnings with the internal team.
· Generates new ideas for changes and improvements to existing intellectual property (IP), technologies, and processes for designated customers/partners. Drives opportunities for IP reuse, best practice sharing, and consumption acceleration. Proactively identifies gaps through delivery and communicating those gaps to others (e.g., Leadership, managed intellectual property (MIP), Design, and Governance). Applies subject matter expertise to develop new IP that fills identified gaps
Important key criteria:
- Should have potential to scale as CSA Pod Lead with ability to lead planning and delivery of vendor Pod team by engaging account team
- Manage customer relationship by conducting monthly engagement reviews and assuring quality and be accountable for capacity planning, hiring, skilling and utilization of Pod members.
Additional details
**Qualifications**
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
- 10+ years of Data & AI related experience with at least three of the following technologies: SQL Server 2012 or later on-premises, SQL Server 2012 or later running on Azure VMs, Azure SQL Database, Azure SQL Managed Instance, Azure SQL Hyper-Scale, SQL AAG Clusters, Azure Integration Services
- Strong knowledge of SQL Server Internals
- Practical experience designing / building large OLTP DB systems
- Knowledge of other SQL technologies on Azure (PostgreSQL, MySQL, MariaDB)
- Data & AI Certifications in Microsoft and competing Cloud Technologies.
- Outstanding customer service skills with excellent oral and written communication skills as well as experience providing training to peers or customers.
- Strong interpersonal and leadership skills while working with diverse audiences including highly technical IT professionals, engineers, developers, and architects as well as executives and management professionals in both customer and Microsoft teams.
- Experience leading and driving projects as well as motivating others.
- Self-motivated, resourceful, and able to handle multiple responsibilities as a Microsoft Cloud Solution Architect
- Ability to develop strong strategic customer relationships that gain the trust and respect of customers.
- Ability to handle critical technical issues and work in difficult support situations.
- Ability to handle difficult or sensitive situations with customers.
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 ( .
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Senior Deep Learning Architect

201301 Noida, Uttar Pradesh ₹140000 Annually WhatJobs

Posted 22 days ago

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full-time
Our client is seeking a highly experienced Senior Deep Learning Architect to join their innovative AI team in Noida, Uttar Pradesh, IN . This hybrid role involves designing, developing, and implementing cutting-edge deep learning models and solutions that address complex business challenges. You will be a key player in shaping the technical direction of our deep learning initiatives, from conceptualization to deployment and scaling. Your responsibilities will include architecting robust and efficient deep learning pipelines, selecting appropriate model architectures, and overseeing the training and optimization of neural networks. You will collaborate closely with data scientists, software engineers, and product managers to translate requirements into scalable AI systems. We are looking for an individual with a profound understanding of various deep learning frameworks (e.g., TensorFlow, PyTorch), advanced algorithms, and best practices in MLOps. The ideal candidate will possess exceptional analytical and problem-solving skills, with a proven ability to lead technical projects and mentor junior team members. This position requires a strong grasp of data preprocessing, feature engineering, and model evaluation techniques. You will also play a crucial role in staying abreast of the latest advancements in deep learning research and applying them to develop novel solutions. This role offers a competitive compensation package, comprehensive benefits, and the opportunity to work on transformative AI projects in a collaborative environment. You will have the flexibility to work from home several days a week while also engaging with the team in our state-of-the-art Noida office.

Responsibilities:
  • Design and architect scalable deep learning systems and pipelines.
  • Develop, train, and optimize deep learning models for various applications.
  • Select appropriate model architectures and frameworks (TensorFlow, PyTorch, etc.).
  • Lead the implementation of MLOps best practices for deep learning workflows.
  • Collaborate with data scientists and engineers to integrate models into production.
  • Evaluate and benchmark model performance, identifying areas for improvement.
  • Mentor junior deep learning engineers and contribute to team growth.
  • Stay current with state-of-the-art research in deep learning and AI.
  • Contribute to the technical strategy and roadmap for AI initiatives.
Qualifications:
  • Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of experience in deep learning, with a focus on model architecture and development.
  • Proven experience in designing and deploying large-scale deep learning models.
  • Expertise in Python and deep learning frameworks like TensorFlow and PyTorch.
  • Strong understanding of MLOps principles and tools.
  • Experience with cloud platforms (AWS, Azure, GCP) for ML workloads.
  • Excellent analytical, problem-solving, and algorithmic thinking skills.
  • Strong communication and collaboration skills.
  • Experience with distributed training and model optimization techniques.
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AI Research Scientist - Machine Learning & Deep Learning

411001 Pune, Maharashtra ₹130000 Annually WhatJobs

Posted 13 days ago

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full-time
Our client is at the forefront of AI innovation, dedicated to developing cutting-edge solutions that transform industries. We are seeking a brilliant and motivated AI Research Scientist to join our dynamic team. This hybrid role offers the exciting opportunity to conduct groundbreaking research, develop novel algorithms, and contribute to the next generation of artificial intelligence. You will be deeply involved in exploring machine learning and deep learning techniques, pushing the boundaries of what's possible in areas such as natural language processing, computer vision, reinforcement learning, or predictive modeling. Responsibilities include designing and implementing complex AI models, conducting rigorous experimentation, analyzing results, and publishing findings in leading scientific conferences and journals. You will collaborate closely with a team of world-class researchers, engineers, and product managers to translate research breakthroughs into practical applications. A strong theoretical foundation in mathematics, statistics, and computer science is essential, coupled with hands-on experience with major AI frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python). The ability to conceptualize, design, and execute research projects independently, as well as contribute effectively within a collaborative team, is crucial. Our client fosters a vibrant research environment, encouraging intellectual curiosity, knowledge sharing, and continuous learning. This is an unparalleled opportunity to contribute to significant advancements in AI, work on challenging problems with real-world impact, and grow your career within a leading technology organization. The ideal candidate will possess a Ph.D. in Computer Science, AI, or a related field, with a demonstrated passion for research and innovation.

Key Responsibilities:
  • Conduct advanced research in machine learning, deep learning, and other AI domains.
  • Develop, implement, and evaluate novel AI algorithms and models.
  • Design and execute experiments to test hypotheses and validate research findings.
  • Analyze large datasets to extract insights and train AI models.
  • Collaborate with cross-functional teams to integrate AI solutions into products.
  • Publish research findings in top-tier academic conferences and journals.
  • Stay abreast of the latest advancements in AI and related fields.
  • Contribute to the development of intellectual property and patents.
  • Mentor junior researchers and interns.
  • Present research progress and results to internal and external stakeholders.

Qualifications:
  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
  • 5+ years of research experience in AI/ML, with a strong publication record.
  • Deep understanding of machine learning algorithms, deep learning architectures, and statistical modeling.
  • Proficiency in programming languages such as Python.
  • Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, or Keras.
  • Experience with data manipulation and analysis tools.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent communication and presentation skills.
  • Ability to work both independently and collaboratively in a research environment.
  • Experience with cloud platforms (AWS, GCP, Azure) for AI development is a plus.
Innovate at the cutting edge of AI and shape the future of technology in Pune, Maharashtra, IN .
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Lead Machine Learning Engineer - Deep Learning Frameworks

560001 Bangalore, Karnataka ₹2800000 Annually WhatJobs

Posted 19 days ago

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full-time
Our client is at the forefront of developing cutting-edge AI solutions and is seeking a highly accomplished Lead Machine Learning Engineer with specialized expertise in deep learning frameworks. This fully remote role offers the exciting opportunity to architect, build, and deploy advanced ML models that power innovative products and services. You will lead a team of talented engineers, driving research into production and tackling complex challenges in areas like computer vision, NLP, and reinforcement learning.

Responsibilities:
  • Lead the design, development, and implementation of scalable machine learning systems and pipelines.
  • Architect and optimize deep learning models using frameworks such as TensorFlow, PyTorch, or JAX.
  • Develop and deploy production-ready ML solutions, ensuring reliability, performance, and scalability.
  • Collaborate with research scientists to translate novel algorithms and experimental findings into robust engineering implementations.
  • Mentor and guide a team of ML engineers, fostering best practices in coding, testing, and deployment.
  • Define and implement MLOps strategies for model versioning, monitoring, and continuous integration/deployment.
  • Conduct thorough code reviews and provide constructive feedback to team members.
  • Optimize model performance for efficiency and effectiveness across various hardware platforms.
  • Stay abreast of the latest advancements in machine learning, deep learning, and AI research.
  • Contribute to the strategic technical direction of the ML engineering team and the broader organization.
  • Troubleshoot and resolve complex technical issues in production ML systems.
Qualifications:
  • Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • Minimum of 7 years of experience in machine learning engineering, with a strong focus on deep learning.
  • Proven experience in leading ML projects from research to production.
  • Deep expertise in Python and proficiency with core ML libraries (e.g., scikit-learn, pandas, NumPy).
  • Extensive hands-on experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
  • Strong understanding of MLOps principles and tools (e.g., Docker, Kubernetes, CI/CD, MLflow).
  • Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
  • Excellent problem-solving, analytical, and algorithmic thinking skills.
  • Exceptional leadership, communication, and collaboration abilities, critical for a remote-first environment.
  • Experience with large-scale data processing and distributed systems.
This is a unique opportunity to shape the future of AI in a leading-edge, remote-first company. Join a passionate team dedicated to pushing the boundaries of machine learning. The role will involve close collaboration with teams situated in and servicing areas around Bengaluru, Karnataka, IN .
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Senior Machine Learning Engineer - Deep Learning Specialist

500081 Hyderabad, Andhra Pradesh ₹1800000 Annually WhatJobs

Posted 22 days ago

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full-time
Our client is seeking a highly motivated and experienced Senior Machine Learning Engineer to join their dynamic AI & Emerging Technologies team. This role is based in the vibrant city of Hyderabad, Telangana, IN , and offers a hybrid work model, combining the flexibility of remote work with the collaboration of an office environment. You will be at the forefront of developing and deploying cutting-edge machine learning models that drive innovation across various sectors. Your primary focus will be on deep learning techniques, including neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers. You will be responsible for the end-to-end lifecycle of machine learning projects, from data acquisition and preprocessing to model training, evaluation, and deployment. This includes designing robust feature engineering pipelines, experimenting with different model architectures, and optimizing model performance for scalability and efficiency. Collaboration is key in this role; you will work closely with data scientists, software engineers, and product managers to translate business requirements into actionable ML solutions. You will also contribute to the research and development of new algorithms and methodologies, staying abreast of the latest advancements in the field. A strong understanding of MLOps principles and tools is essential for ensuring seamless integration and continuous improvement of deployed models. Your contributions will directly impact the development of next-generation AI products and services, making this a challenging and rewarding opportunity for an ambitious ML professional. The ideal candidate will possess a proven track record of successfully delivering complex ML projects in a professional setting. Expertise in Python and popular ML frameworks like TensorFlow, PyTorch, or Keras is mandatory. A solid foundation in mathematics, statistics, and computer science principles is also critical. We are looking for individuals with excellent problem-solving skills and a passion for pushing the boundaries of artificial intelligence. Join us and be part of a team that is shaping the future of technology. This position requires a commitment to both independent research and collaborative development, with regular opportunities to present findings and lead technical discussions. The ideal candidate is proactive, possesses strong analytical abilities, and thrives in a fast-paced, innovative environment. We value candidates who can think critically and creatively to solve complex challenges within the AI domain.
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AI Research Scientist - Deep Learning

400601 Thane, Maharashtra ₹100000 Annually WhatJobs

Posted 1 day ago

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full-time
Our client is at the forefront of AI innovation and is seeking a talented AI Research Scientist specializing in Deep Learning to join their team in Thane, Maharashtra, IN . This hybrid role offers a stimulating work environment where you can contribute to groundbreaking research and development while enjoying the flexibility of a hybrid schedule. You will be responsible for conducting advanced research, developing novel algorithms, and implementing state-of-the-art deep learning models to solve complex challenges in emerging technologies.

The ideal candidate will possess a strong academic background in Artificial Intelligence, Machine Learning, or a closely related field, with a proven ability to conduct independent research and publish findings. Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential. You will work on projects involving areas like computer vision, natural language processing, reinforcement learning, or generative models. Responsibilities include designing experiments, collecting and analyzing data, building and training deep learning models, evaluating their performance, and translating research findings into practical applications. Collaboration with other researchers and engineers will be key to pushing the boundaries of what's possible in AI.

Key responsibilities include:
  • Conducting cutting-edge research in deep learning and artificial intelligence.
  • Developing and implementing novel AI algorithms and models.
  • Designing and executing experiments to validate research hypotheses.
  • Analyzing large datasets and extracting meaningful insights.
  • Collaborating with engineering teams to integrate AI models into products and systems.
  • Staying current with the latest advancements in AI and machine learning research.
  • Publishing research findings in top-tier conferences and journals.
  • Contributing to the intellectual property of the organization.
We require a Ph.D. or a Master's degree with significant research experience in Computer Science, AI, Machine Learning, or a related quantitative field. Demonstrated experience with deep learning libraries and a strong publication record are highly desirable. Excellent analytical, problem-solving, and communication skills are a must. If you are a passionate researcher driven by innovation and eager to shape the future of AI, we encourage you to apply. This is an exceptional opportunity to work on challenging problems with a team of world-class experts in a hybrid work setting that promotes both focused research and collaborative synergy.
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AI Research Scientist - Deep Learning

452001 Indore, Madhya Pradesh ₹1500000 Annually WhatJobs

Posted 6 days ago

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full-time
Our client is at the forefront of innovation and is seeking a highly skilled and motivated AI Research Scientist specializing in Deep Learning. This is a fully remote position, allowing you to collaborate with a world-class team from anywhere. You will be responsible for conducting cutting-edge research, developing novel algorithms, and implementing advanced deep learning models to solve complex real-world problems. Your work will involve exploring new architectures, optimizing existing models, and pushing the boundaries of AI capabilities in areas such as natural language processing, computer vision, or reinforcement learning. You will design and execute experiments, analyze results, and contribute to high-impact publications and patent applications. The ideal candidate will have a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong publication record in top-tier AI conferences and journals. Proven experience in developing and deploying deep learning models using frameworks like TensorFlow, PyTorch, or Keras is essential. Excellent programming skills in Python, along with a solid understanding of linear algebra, calculus, and probability, are required. You should possess strong analytical and problem-solving abilities, the capacity to work independently, and a passion for tackling challenging research questions. Collaboration with other researchers and engineers in a remote setting will be key. This is an unparalleled opportunity to work on groundbreaking AI projects, contribute to significant advancements in the field, and shape the future of intelligent systems. Join a team that values creativity, scientific rigor, and impactful innovation.
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AI Research Scientist - Deep Learning

110001 Delhi, Delhi ₹150000 Monthly WhatJobs

Posted 6 days ago

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full-time
Our client, a cutting-edge AI research organization, is actively seeking an accomplished AI Research Scientist specializing in Deep Learning. This is a fully remote position, allowing you to contribute to groundbreaking research from anywhere. You will be at the forefront of developing and implementing novel deep learning models and algorithms to solve complex real-world problems across various domains, including computer vision, natural language processing, and reinforcement learning. Your primary responsibilities will include conducting in-depth research, designing and training deep neural networks, and evaluating their performance. You will stay abreast of the latest advancements in AI and machine learning, contributing your findings through publications and internal reports. Collaboration with a team of world-class researchers and engineers will be a key aspect of this role. You will also play a role in the deployment and optimization of AI models. The ideal candidate will hold a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong publication record in top-tier AI conferences and journals. Proven expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras is mandatory. A solid understanding of mathematical concepts underlying AI, including linear algebra, calculus, and probability, is essential. Excellent programming skills in Python and experience with high-performance computing environments are required. Strong analytical and problem-solving skills, coupled with exceptional communication and presentation abilities, are crucial for disseminating research findings. This fully remote role offers the chance to work on challenging problems, collaborate with leading experts, and significantly impact the future of artificial intelligence. If you are a passionate AI researcher driven by innovation and eager to contribute to transformative technologies, this opportunity near **Delhi, Delhi, IN** is perfect for you.
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  44. supervisor_account Management Consultancy
  45. supervisor_account Manufacturing & Production
  46. campaign Marketing
  47. build Mechanical Engineering
  48. perm_media Media & PR
  49. local_hospital Medical
  50. local_hospital Military & Public Safety
  51. local_hospital Mining
  52. medical_services Nursing
  53. local_gas_station Oil & Gas
  54. biotech Pharmaceutical
  55. checklist_rtl Project Management
  56. shopping_bag Purchasing
  57. home_work Real Estate
  58. person_search Recruitment Consultancy
  59. store Retail
  60. point_of_sale Sales
  61. science Scientific Research & Development
  62. wifi Telecoms
  63. psychology Therapy
  64. pets Veterinary
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