What Jobs are available for Deep Learning Frameworks in India?
Showing 1261 Deep Learning Frameworks jobs in India
Lead Machine Learning Engineer - Deep Learning Frameworks
Posted 24 days ago
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Job Description
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.
- 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.
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Artificial Intelligence Engineer
Posted today
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Job Description
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
**What you will do:**
In this role you will lead a critical and highly visible function within Teradata Vantage platform. You will be given the opportunity to autonomously deliver the technical direction of the service, and the feature roadmap. You will work with extraordinary talent and have the opportunity to shape the team to best execute on the product.
**Job Responsibilities:**
+ Contribute to the design and development of software components that enable **autonomous AI agents** to reason, plan, act, and learn.
+ Implement features that support agentic capabilities such as **tool use, memory, long-term planning, task execution** , and self-reflection.
+ Integrate with state-of-the-art LLMs (e.g., OpenAI, Anthropic) and **agent orchestration frameworks** (e.g., LangChain, CrewAI, AutoGen).
+ Write, test, and debug Python or other backend code that powers **agent workflows** in cloud-native environments.
+ Assist in building interfaces between agents and tools such as APIs, databases, search engines, and user-facing applications.
+ Participate in Agile development workflows - sprint planning, code reviews, retrospectives - and collaborate across AI, product, and engineering teams.
+ Work with structured and unstructured data to support **context-aware reasoning and decision-making** in agents.
+ Contribute to the development of internal testing tools and evaluation methods for autonomous agent behaviors.
+ Support the deployment of agent systems in scalable environments using Kubernetes, Docker, and cloud services (AWS, Azure, or GCP).
+ Maintain documentation of agent capabilities, system design, and integration strategies.
**What makes you a qualified candidate:**
+ 1-3 years of experience (or strong academic/internship background) in software development with a focus on AI/ML, intelligent systems, or cloud-native applications.
+ Strong interest in **Agentic AI** - systems where AI agents can autonomously interpret goals, take actions, and learn from outcomes.
+ Familiarity with one or more programming languages: **Python** (preferred), Go, Java, or C++.
+ Exposure to LLMs and AI APIs (e.g., OpenAI, Hugging Face, Claude) and understanding of **prompting, embeddings, or vector databases** .
+ Basic understanding of how AI agents use tools and memory to solve complex tasks.
+ Experience with RESTful APIs, backend service design, and microservice architectures.
+ Familiarity with modern cloud infrastructure (AWS, GCP, or Azure), especially in deploying containerized applications.
+ Ability to write clean, testable code and follow best practices in code reviews and version control.
+ Clear communicator, with a willingness to ask questions, propose ideas, and collaborate across teams.
+ Passion for learning emerging AI techniques and contributing to real-world agentic applications.
**What you will bring:**
+ BS degree in Computer Science, Artificial Intelligence, Software Engineering, or related technical field.
+ Strong problem-solving skills and a solid foundation in data structures, algorithms, and object-oriented programming.
+ Experience with cloud tools and platforms (AWS, GCP, Azure), especially Kubernetes and Docker.
+ Exposure to agentic frameworks such as LangChain, AutoGen, CrewAI, or similar tools.
+ Curiosity and excitement about **building intelligent systems that act autonomously and adaptively** .
+ A mindset geared toward experimentation, continuous learning, and pushing the boundaries of AI capabilities.
**Why we think you will love Teradata:**
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
#LI-NT1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
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Artificial Intelligence Engineer
Posted 2 days ago
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Job Description
If you are interested in working with former heads of security, cloud experts and in building a game changing cloud security solution, join Invi Grid!
You will be at the forefront of building a ground breaking approach to cybersecurity. You will come to be in this space but stay for the vision, passion, growth and teamwork. You will be required to be a hands on coder so expertise in technologies mentioned is a must have.
- Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Master’s is a plus).
- Minimum 2 years of hands-on experience developing Agentic, LLM, and NLP-based applications .
- Proficient in machine learning , deep learning , and generative AI techniques.
- Experience with data preprocessing , feature engineering , and model evaluation .
- Hands-on experience with machine learning frameworks such as TensorFlow , Keras , and PyTorch .
- Strong knowledge of RAG-based models to enhance AI-driven search and retrieval systems.
- Experience deploying ML models in production environments , ensuring efficiency and scalability.
- Proficiency in programming languages such as Python , Node.js , JavaScript , and SQL .
- Experience with natural language processing (NLP) and computer vision solutions.
- Strong understanding of AI/ML algorithms , data structures , and model optimization techniques.
- Excellent analytical , problem-solving , and communication skills.
Most importantly:
- Ability to work effectively in a fast-paced dynamic startup environment and meet deadlines
- Create and maintain design documentation, including style guides, patterns and specifications.
- Stay updated on the latest advancements in AI/ML technologies, tools, and methodologies, incorporating best practices into development processes.
- Collaborate with stakeholders to understand business requirements, define project objectives, and deliver AI/ML solutions that meet customer needs and drive business value.
- Ability to join within 15 days
Culture: Humility, teamwork, integrity, resilienc
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Artificial Intelligence Engineer
Posted 2 days ago
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Job Description
We’re Hiring: AI Engineer
Join one of the most exciting opportunities in the AI world!
Our client — a US-based, AI-funded startup (Series B) — is building something truly revolutionary in the field of Artificial Intelligence, and we’re looking for passionate engineers to be part of this journey.
Role: AI Engineer
Payroll: AI Funded US Startup (Series B)
Location: Hyderabad
Work Mode: Remote
Experience Required: 3+ years
Employment Type: Full-time
Working Days: Monday to Friday
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Artificial Intelligence Engineer
Posted 2 days ago
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Job Description
About Debales AI
Debales AI builds autonomous AI Agents that seamlessly integrate into existing systems — no new dashboards, no added workflow overhead. With 100+ integrations and 80+ specialized AI Agents, we streamline high-volume operations across Logistics, E-Commerce, and Education, helping teams scale efficiency without scaling headcount.
Role Overview
We're looking for a Full-Time AI Developer to design, build, and deploy AI Agents into production environments. You'll work directly on LangGraph / LangChain-based pipelines and play a key role in architecting multi-agent systems that interact with real customer data and workflows.
This role is ideal for someone who loves hands-on building, fast iteration, and ownership.
Key Responsibilities
- Architect and develop LLM-based multi-agent workflows.
- Deploy and maintain AI Agents in live production environments.
- Integrate Agents with 3rd-party systems and internal APIs.
- Improve model performance using evaluation + observability tooling.
- Collaborate with engineering + product teams to ship fast.
Required Qualifications
- Experience deploying AI Agents in production (critical requirement).
- Minimum 1 year experience building AI applications or workflows.
- Hands-on experience with LangGraph and LangChain.
- Strong understanding of LLM application architecture, state handling, and tool-calling.
- Experience with RAG, embeddings, vector databases, and NLP pipelines.
- Familiarity with AI observability tools (e.g., Langfuse, Phoenix, OpenTelemetry, W&B, Honeycomb).
- Proficient in Python for backend and orchestration.
- Strong problem-solving skills, self-directed, comfortable in fast-paced environments.
Location - Work from Home
Salary - Rs. per month (in hand)
Nice to Have
- Experience with Docker / containerized deployments.
- Background integrating with APIs and enterprise systems.
- Understanding of structured evaluation and testing frameworks for LLM applications.
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Artificial Intelligence Consultant
Posted 3 days ago
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Job Description
SAARTEK works with Telecom operators, vendors, and other businesses globally to expertly obtain the environmental and planning approvals needed to move projects from the conceptual stage to physical, benefit-generating reality in an efficient and cost-effective manner. With hands-on experience from hundreds of thousands of successful wireless implementations, SAARTEK guides clients from the best practices of today to the better practices of tomorrow. We provide services from wireless consulting to design, dimensioning, testing, optimization, and deployment. Our markets include MNOs, MSOs, Network OEMs, Infrastructure, Venues, SMB & Enterprise, Partners, Satellite, Media, and Auto. We build better broadband networks for the globe.
Role Description
This is a full-time, on-site role for an Artificial Intelligence Consultant located in Noida. The Artificial Intelligence Consultant will be responsible for conducting data analysis, pattern recognition, and implementing machine learning solutions. Daily tasks include providing consultancy to clients, applying natural language processing (NLP) techniques, and conducting data science research to develop AI strategies that drive business success. The consultant will also collaborate with cross-functional teams to optimize and deploy AI technologies.
Qualifications
- Skills in Pattern Recognition and Machine Learning
- Experience in Consulting and providing strategic insights
- Proficiency in Data Science and conducting comprehensive data analysis
- Knowledge of Natural Language Processing (NLP)
- Strong problem-solving and analytical skills
- Excellent written and verbal communication skills
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
- Experience in the telecom industry is a plus
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Artificial Intelligence Engineer
Posted 3 days ago
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Job Description
We are seeking a highly specialized and results-driven AI Automation Engineer to join our fast-moving team. You will be the architect of our internal and client-facing workflows, leveraging a powerful stack of no-code/low-code tools and custom code to eliminate manual work, integrate core business systems, and implement intelligent AI agents.
This is a high-impact role for an expert who can not only build but also design highly reliable, scalable, and complex automated systems.
What You'll Be Building (Key Responsibilities)- End-to-End Workflow Architecture: Design, build, and maintain complex automation pipelines, primarily using n8n (and sometimes Zapier ) for optimal performance and customizability.
- Intelligent AI Integration: Integrate and orchestrate AI models (LLMs) within workflows for tasks such as lead qualification, dynamic email generation, data analysis, and decision support.
- Custom Scripting & APIS: Utilize Python to write custom API connectors, perform advanced data cleaning/transformation, and extend the functionality of no-code platforms.
- CRM & Data System Mastery: Implement robust data synchronizations between core tools, including deep automation and setup within GoHighLevel (GHL) for marketing and sales, and structured data management in Airtable .
- System Reliability: Implement rigorous error handling, logging, and monitoring across all automation to ensure 99.9% uptime and data integrity.
- Process Mapping: Collaborate with stakeholders to map existing business processes and identify high-leverage opportunities for AI-powered automation.
If you do not have expert-level experience in all five of these, please do not apply.
- n8n (Expert Level): Core platform for complex workflow orchestration.
- Python: For advanced scripting, custom API calls, and data manipulation.
- GoHighLevel (GHL): Setting up funnels, triggers, campaigns, and lead flow automation.
- Airtable: Advanced base design, automation, scripting, and external tool integration.
- Zapier: Experience with building and migrating workflows, and managing Zapier integration logic.
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Artificial Intelligence Engineer
Posted 4 days ago
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Job Description
Role Overview:
We are seeking an experienced AI Engineer with a strong background in Natural Language Processing (NLP), Machine Learning (ML) and Large Language Models (LLMs). The ideal candidate will have hands-on expertise with modern AI frameworks, vector databases and cloud based ML platforms with a focus on building and deploying scalable high performing solutions.
Key Responsibilities:
- Design, develop and deploy NLP and ML models for real world applications.
- Work extensively with LLM frameworks, Hugging Face Transformers, LangChain Lama Index, OpenAI API, Vertex AI.
- Fine tune large language models embeddings and optimize vector search using FAISS, Pinecone, Weaviate, Milvus or Vertex AI Matching Engine.
- Perform data preprocessing statistical analysis and experiment design to validate models.
- Collaborate with cross functional teams engineering product business to deliver AI driven solutions.
- Leverage cloud ML platforms GCP preferred to build and scale production grade ML pipelines.
- Continuously research and adopt state of the art techniques in NLP ML and LLMs.
Required Skills and Qualification:
- Proven experience as a Data Scientist having 6-9 years of experience with a strong focus on NLP and ML.
- Hands-on experience with LLM frameworks and libraries - Hugging Face Transformers, LangChain, LamaIndex, OpenAI API and Vertex AI.
- Strong programming skills in Python with ML AI libraries - PyTorch, TensorFlow and Scikit learn.
- Experience in fine tuning LLMs embeddings and vector databases - FAISS Pinecone, Weaviate, Milvus, Vertex AI Matching Engine.
- Proficiency in data analysis statistics and experiment design.
- Strong understanding of cloud ML platforms - GCP preferred.
- Excellent problem solving analytical and communication skills.
- Strong debugging, troubleshooting, and problem-solving skills.
- Excellent collaboration abilities.
Good to Have Skills:
- Exposure to MLOps practices - CI CD for ML monitoring deployment.
- Experience with other cloud platforms - AWS and Azure.
- Knowledge of reinforcement learning and generative AI applications.
What We Offer:
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge security challenges.
- A collaborative and growth-oriented work environment with opportunities for career development.
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Artificial Intelligence Engineer
Posted 4 days ago
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Job Description
Position: AI/ML Engineer
Location: Bengaluru/ Pune/Chennai/Hyderabad/Noida
Notice Period : 15-30 days of Notice Period
We’re currently hiring for an experienced AI/ML Engineer to join DXC Technology . This role offers the opportunity to work on innovative projects involving AI frameworks and Large Language Models (LLMs) within our R&D environment.
Key Responsibilities:
- Design, develop, and present Proof of Concepts (PoCs) to business stakeholders.
- Build innovative AI-based solutions , integrating and optimizing models for production.
- Drive the adoption of LLMs within the enterprise application landscape.
- Develop new functionality for research and development (R&D) applications.
- Conduct code reviews and ensure adherence to high-quality coding standards.
- Implement and promote best practices in software development and AI integration.
Mandatory Skills:
- Minimum 6 years of AI/ML development experience .
- Advanced proficiency in Python and modern Python frameworks.
- Strong understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
- Hands-on experience with at least one Large Language Model (LLM) .
- Proven experience in data science , model development, and deployment.
Nice-to-Have Skills:
- Familiarity with multiple LLMs and their integration into commercial or enterprise-scale projects.
- Experience in cloud platforms (e.g., AWS, Azure, GCP) for AI/ML deployment.
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Artificial Intelligence Engineer
Posted 4 days ago
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Job Description
Location: Gachibowli, HYD
Duration: Full-time
Working time: 2.00 PM to 11.00 PM IST
Immediately joiners
We are seeking a highly skilled AI & NLP Engineer to join our growing team. The ideal candidatewill have deep expertisein information retrieval,semantic search, and NaturalLanguage Processing (NLP)—particularly within the healthcare domain. You will help design,develop, and maintain large-scale AI systems.
Key Responsibilities
- Develop and optimize information retrieval and semanticsearch systems for medical data.
- Designand implement Retrieval-Augmented Generation (RAG) architectures for AI models.
- Build and maintainNLP pipelines to process and analyzelarge volumes of medical literature efficiently.
- Experience with Python,LangChain, Vector Databases (e.g., Pinecone, FAISS, Weaviate), and transformer-based models (e.g., BERT, GPT, LLaMA).
- Implementhallucination safeguards and factualaccuracy validation for AI-generated outputs.
- Collaborate with data scientists, engineers, and medicalexperts to deliver reliable and complianthealthcare AI products.
- Continuously monitor and improvemodel performance, accuracy, and scalability.
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