What Jobs are available for Deep Learning Frameworks in Delhi?
Showing 39 Deep Learning Frameworks jobs in Delhi
Artificial Intelligence Intern
Posted 10 days ago
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Job Description
About Us
We’re an AI-first consultancy reimagining how organisations work. Our mission is to help businesses integrate Artificial Intelligence into their core operations — making them faster, smarter, and more efficient. We work across industries such as construction, manufacturing, and professional services, combining strategy, data, and automation to deliver measurable impact.
 
We believe AI should empower everyone. Our work is built on diversity of thought, backgrounds, and experiences — because innovation thrives where different perspectives meet.
 
About the Role
 
We’re looking for a driven AI Intern to join our team. This is an opportunity to work hands-on with our consultants, data scientists, and automation experts to design and deploy AI solutions that solve real business challenges. You’ll gain experience that bridges technical skill and commercial impact — from training AI models to translating data into strategy.
 
What You’ll Do
 
- Support the design, testing, and optimisation of AI and automation models.
 
- Work with real business data to uncover inefficiencies and improvement opportunities.
 
- Assist in training, validating, and deploying machine learning models.
 
- Collaborate with consulting teams to turn analytics into actionable recommendations.
 
- Research emerging AI tools and techniques relevant to business process transformation.
 
- Help maintain and enhance internal AI knowledge bases and data pipelines.
 
What We’re Looking For
 
- Studying Computer Science, Data Science, Engineering, or a related field.
 
- Solid knowledge of Python and AI/ML libraries (pandas, scikit-learn, PyTorch, TensorFlow).
 
- Strong analytical thinking and attention to detail.
 
- Interest in automation, process design, or digital transformation.
 
- Excellent communication skills — able to explain technical insights clearly.
 
- Curiosity, adaptability, and a proactive approach to learning.
 
Nice to Have
 
- Experience with process mining, workflow tools, or data engineering.
 
- Knowledge of NLP, generative AI, or large language models.
 
- Familiarity with Power BI, Tableau, or cloud platforms (AWS, Azure, GCP).
 
What You’ll Gain
 
- Practical experience applying AI in real consulting projects.
 
- Mentorship from experienced consultants and data scientists.
 
- Opportunity to contribute to projects with visible client impact.
 
- A deep understanding of how AI drives measurable business ROI.
 
- Potential for a full-time offer based on performance.
 
Diversity, Equity & Inclusion
 
At BPR AI we’re committed to building an inclusive environment where everyone can thrive. We welcome applicants from all backgrounds, regardless of age, gender, ethnicity, disability, sexual orientation, religion, or socioeconomic status. We care about who you are, what you can do, and the perspective you bring.
 
Details
 
Location: Remote (India)
 
Duration: 3–6 months
 
Start Date: Flexible
 
Compensation: Competitive internship stipend
 
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            Senior Artificial Intelligence Engineer
Posted 10 days ago
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Job Description
Experience : 5+ years of hands-on experience in software or AI/ML development, ideally with some exposure to leading projects or mentoring others.
 
About The Role
We are setting up a dedicated AI department at go4WorldBusiness to power the next generation of intelligent, AI-driven products and systems that transform how global businesses connect.
As a Senior AI Engineer , you won’t just be building models—you’ll be shaping how AI is integrated across our platform. You’ll lead by example in designing and deploying robust systems, work with both traditional ML and modern LLM-based architectures, and help set the foundation for how AI is done here—technically and culturally.
This is a rare opportunity for someone who wants to stay hands-on with code while also stepping into a role that has real influence, responsibility, and long-term ownership.
 
What You’ll Do Most Of The Time
- Design, build, and ship production-grade AI systems—ranging from classical ML to modern LLM-powered features.
- Lead AI projects from idea to execution, including architecture, modeling, evaluation, and deployment.
- Work with unstructured data, embeddings, vector databases, and real-world data problems.
- Evaluate and integrate LLM-based tools like OpenAI, LangChain, HuggingFace, or Ollama where appropriate.
- Collaborate with product and engineering teams to deliver AI capabilities that have real user and business impact.
- Mentor junior AI engineers and contribute to a culture of fast learning, clean code, and clear thinking.
- Stay on top of advancements in AI/ML and help guide our strategy with technical insight.
 
What You’ll Need To Qualify
- Excellent communication and critical thinking—you're as comfortable explaining your decisions as you are making them.
- Proficiency in Python and familiarity with modern AI/ML libraries (e.g., scikit-learn, PyTorch, TensorFlow).
- Experience building and deploying ML or LLM-based systems in production environments.
- Strong understanding of ML workflows, vector search, APIs, and data pipelines.
- Prior experience taking ownership of projects or mentoring team members.
 
Preferred Skills
You don’t need to know all of these — but you should be excited to learn what you don’t:
- Hands-on with OpenAI, HuggingFace, LangChain, or other LLM-based frameworks
- Experience with FastAPI, Docker, or MLOps tools like MLflow and Airflow
- Comfort working with vector databases (e.g., FAISS, Pinecone, Qdrant)
- Familiarity with prompt engineering, retrieval-augmented generation (RAG), and evaluation of generative outputs
- Ability to balance trade-offs between performance, cost, and complexity in AI deployments
 
What You’ll Get
- A chance to lead and build in an AI-first team working on impactful, real-world challenges
- Opportunity to grow into a leadership role while staying close to the code
- Industry-best salary with strong growth upside
- Mentorship, autonomy, and ownership from day one
- 5-day work week
- Annual loyalty bonus
- Six-monthly profit sharing bonus
- PF and Gratuity
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            Senior Lecturer - Computer Science & Artificial Intelligence
Posted 19 days ago
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            Machine Learning Engineer
Posted 10 days ago
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            AI & Machine Learning Lead
Posted 3 days ago
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            Senior Machine Learning Engineer
Posted 4 days ago
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            Senior Machine Learning Engineer
Posted 18 days ago
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Job Description
Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms for diverse applications.
- Lead the entire ML lifecycle, including data collection, cleaning, feature engineering, model training, validation, and deployment.
- Collaborate with data scientists, software engineers, and product managers to define ML requirements and translate them into robust solutions.
- Optimize model performance for accuracy, efficiency, and scalability.
- Stay current with state-of-the-art ML research and techniques, and proactively identify opportunities for application.
- Develop and maintain ML infrastructure, tools, and pipelines.
- Conduct thorough model evaluation and A/B testing to ensure effectiveness and impact.
- Mentor and guide junior machine learning engineers and data scientists.
- Communicate complex technical concepts and findings to both technical and non-technical audiences.
- Contribute to the company's intellectual property through patents and publications.
- Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in machine learning engineering or a closely related role.
- Proven track record of successfully developing and deploying ML models in production environments.
- Deep understanding of various ML algorithms (e.g., deep learning, reinforcement learning, natural language processing).
- Proficiency in programming languages such as Python and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).
- Strong understanding of software engineering best practices, including version control, testing, and CI/CD.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and leadership abilities.
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Senior Machine Learning Engineer
Posted 22 days ago
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Job Description
Key Responsibilities:
- Design, implement, and deploy machine learning models and algorithms for various applications.
- Develop and maintain scalable ML pipelines for data preprocessing, feature engineering, model training, and inference.
- Collaborate with data scientists to validate models and ensure their performance meets business requirements.
- Work with software engineers to integrate ML models into existing systems and products.
- Optimize model performance for efficiency, accuracy, and scalability.
- Conduct experiments to evaluate different modeling approaches and hyperparameter tuning.
- Stay updated on the latest advancements in machine learning and AI technologies.
- Document ML models, processes, and codebase thoroughly.
- Troubleshoot and resolve issues related to ML model deployment and performance.
- Mentor junior engineers and contribute to the team's knowledge sharing.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in machine learning engineering or a related role.
- Strong proficiency in programming languages such as Python, Java, or Scala.
- Hands-on experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, XGBoost).
- Solid understanding of data structures, algorithms, and software engineering best practices.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices.
- Knowledge of big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to work effectively in a hybrid team environment.
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            AI Research Scientist - Machine Learning
Posted 2 days ago
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Job Description
Key Responsibilities:
- Conduct research and development in advanced machine learning algorithms and techniques.
- Design, implement, and evaluate novel AI models for various applications.
- Collaborate with engineering teams to integrate ML models into production systems.
- Analyze large datasets to extract insights and identify patterns.
- Stay abreast of the latest advancements in AI and machine learning research.
- Publish research findings in top-tier conferences and journals.
- Develop and implement robust data preprocessing and feature engineering pipelines.
- Contribute to the development of AI/ML frameworks and tools.
- Mentor junior researchers and engineers in AI/ML topics.
- Present research outcomes and technical solutions to diverse audiences.
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            Lead Machine Learning Engineer - NLP
Posted 4 days ago
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Job Description
- Lead the design, development, and deployment of NLP models and systems.
- Mentor and guide a team of machine learning engineers.
- Conduct research into state-of-the-art NLP techniques and apply them to solve real-world problems.
- Optimize model performance, scalability, and efficiency.
- Collaborate with cross-functional teams to define project roadmaps and deliverables.
- Develop and maintain high-quality, production-ready code.
- Stay abreast of the latest advancements in AI and ML research.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Proven experience (7+ years) in machine learning, with a strong focus on NLP.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong understanding of deep learning architectures relevant to NLP (e.g., Transformers, RNNs, LSTMs).
- Excellent problem-solving and analytical skills.
- Demonstrated leadership experience.
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