5480 Deep Learning Jobs

Job Role We are looking to hire ~3-5 talented Full stack developers with Python or Nodejs/Typescript background to work on building Gen AI solutions. The ideal candidate should have 4-10 years of practical work experience in areas like - integrating/managing APIs, async programming frameworks/libraries, state management , concurrency , containerization and telemetry. The ideal candidate who has the desire to work on Gen AI projects would have enrolled themselves in some Gen AI courses, and should have done some reading/exploration by themselves. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Data Science and Machine Learning - Data Science and Machine Learning - Python Beh - Communication User Interface - node.JS - node.JS User Interface - Typescript - Typescript

We are seeking a skilled Machine Learning Developer with expertise in LangGraph, LangChain, TensorFlow, and PyTorch The ideal candidate will be responsible for building, integrating, and scaling Generative AI and ML-based applications This role requires a blend of strong programming skills, applied ML knowledge, and experience with modern AI frameworks Key Responsibilities Design, develop, and deploy ML/AI applications using TensorFlow and PyTorch Build Generative AI pipelines leveraging LangGraph and LangChain Implement Retrieval-Augmented Generation (RAG) and conversational AI solutions Fine-tune and optimize large language models (LLMs) for production use Collaborate with data scientists, product managers, and engineers to integrate AI into real-world applications Write clean, efficient, and reusable Python code for ML pipelines and services Ensure scalability, performance, and reliability of AI/ML systems Stay up to date with latest ML/AI research, frameworks, and tools Mandatory Skills Proficiency in Python for ML and AI application development Hands-on experience with LangGraph and LangChain for GenAI workflows Strong expertise in TensorFlow and PyTorch for deep learning model development Understanding of transformer-based architectures, embeddings, and fine-tuning Knowledge of API development and deployment for ML models Experience in building end-to-end ML workflows (data preprocessing, training, evaluation, deployment) Good-to-Have Skills Familiarity with MLOps tools (LangServe, Langfuse, MLflow, Kubeflow) Experience with cloud platforms (AWS, Azure, GCP) Exposure to vector databases (Pinecone, Weaviate, FAISS) Knowledge of containerization (Docker) and orchestration (Kubernetes) Strong problem-solving and debugging skills

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.Keywordsnatural language processing,machine learning,deep learning,machine learning algorithms,tensorflow,keras,artificial intelligence,Data Science Mandatory Key Skills natural language processing,machine learning,deep learning,machine learning algorithms,tensorflow,keras,artificial intelligence,Data Science*

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics Mandatory Key Skills python,deep learning,chatbot,machine learning,artificial intelligence,algorithms,natural language processing,tensorflow,data science,keras,computer vision,neural networks,opencv,django,image processing,r,data analytics,flask,AI chatbot solutions*

A program manager owns the entire lifecycle of a cohort of learners, from the enrolment to the completion of the program journey. Learners are working professionals from across the globe, aspiring to upskill in new age / digital competencies, like data analytics, data science, artificial intelligence et. al. In this role of a Program Manager, one has to, 1. Be the first point of contact for participants for any queries, and provide necessary support for all the needs within the scope of program offerings, in a timely manner 2. Foster meaningful relationships with participants, understand their needs & preferences, and deliver a personalized experience 3. Drive all the Program Office responsibilities around scheduling & delivering program activities, including but not limited to, online sessions, webinars, evaluations, grading, presentations, etc. This will require engagement with a variety of internal and external stakeholders like senior managers, academicians, industry professionals et. al. 4. Monitor, diagnose and drive interventions around participants performance and engagement during the program journey to ensure each participant has a great experience and achieves learning outcomes 5. Contribute to organization building by identification, development and implementation of processes for efficient and effective program management

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, utilizing generative AI models, and ensuring the integration of deep learning, neural networks, chatbots, and image processing technologies into various projects. You will collaborate with cross-functional teams to deliver innovative solutions that meet business needs and enhance user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and workflows. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based in Chennai.- A 15 years full time education is required. Qualification 15 years full time education

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization Advise on AI-driven business models, innovation strategies, and regulatory compliance Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation Mandatory Key Skills machine learning,data science,python,deep learning,natural language processing,sql,neural networks,predictive modeling,R,Artificial intelligence*

Associate Manager Senior Data Scientist Location: Hybrid Role Overview As an Associate Manager Senior Data Scientist , you will play a pivotal role in solving complex, high-impact business problems for global clients. Youll lead the design, development, and deployment of scalable AI/ML solutions, translating business challenges into actionable data science strategies. Your work will directly influence strategic decisions for Fortune 500 clients and emerging enterprises alike. Key Responsibilities Engage with clients to identify business goals and translate them into analytical problems. Design and implement custom ML models tailored to client-specific data and objectives. Develop scalable, interpretable, and production-ready analytics solutions. Present insights and recommendations to both technical and non-technical stakeholders. Collaborate closely with internal teams and client partners to ensure delivery excellence. Required Qualifications Bachelors/Master’s degree in Computer Science, Statistics, Mathematics, or related quantitative fields. 5+ years of hands-on experience in Data Science and Machine Learning model development. Proven track record of delivering end-to-end ML solutions—from problem definition to deployment. Proficiency in Python and key libraries (NumPy, Pandas, Scikit-learn, Jupyter, etc.). Strong SQL skills and experience working with Spark. Deep understanding of supervised, unsupervised, and deep learning algorithms. Experience in Natural Language Processing (NLP), using tools like NLTK for text analytics. Excellent communication and problem-solving skills; ability to thrive in a fast-paced environment. Exposure to data visualization tools like Power BI, Tableau, or R Shiny is preferred. Experience with cloud platforms (Azure, AWS, GCP) is a plus. Why Join Tredence? Work on cutting-edge analytics and AI problems across industries. Join a team of top-tier data scientists and domain experts. Be part of a high-growth company recognized for innovation and culture. Access to proprietary tools, accelerators, and IPs to fast-track your success. Flexible work models and global exposure.

Groww is looking for ML Engineer - III to join our dynamic team and embark on a rewarding career journey Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions Translate business requirements into machine learning objectives Data Exploration and Preparation:Analyze and preprocess large datasets to extract relevant features for model training Address data quality issues and ensure data readiness for machine learning tasks Model Development:Develop and implement machine learning models using state-of-the-art algorithms Experiment with different models and approaches to achieve optimal performance Training and Evaluation:Train machine learning models on diverse datasets and fine-tune hyperparameters Evaluate model performance using appropriate metrics and iterate on improvements Deployment:Deploy machine learning models into production environments Collaborate with DevOps and IT teams to ensure smooth integration Monitoring and Maintenance:Implement monitoring systems to track model performance in real-time Regularly update and retrain models to adapt to evolving data patterns Documentation:Document the entire machine learning development pipeline, from data preprocessing to model deployment Create user guides and documentation for end-users and stakeholders Collaboration:Collaborate with data scientists, software engineers, and domain experts to achieve project goals Participate in cross-functional team meetings and knowledge-sharing sessions Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

About Us We ,SMC Insurance Brokers Pvt Ltd are a fast-growing organization committed to leveraging cutting-edge technologies to deliver innovative solutions in the insurance domain. As part of our vision, we are building AI-driven applications that transform the way businesses and customers interact. Website: www.smcinsurance.com Role Overview We are looking for enthusiastic B.Tech students from premium institutes who are passionate about Artificial Intelligence and eager to explore real-world applications of AI development. As an intern, you will work with our experienced tech team on challenging projects, gain hands-on exposure, and contribute to building intelligent solutions. Key Responsibilities Assist in designing, developing, and testing AI/ML models for real-world applications. Support data preprocessing, feature engineering, and exploratory analysis. Collaborate with cross-functional teams (Tech, Product, HR) to integrate AI solutions. Conduct literature reviews and stay updated on the latest AI trends and frameworks. Document development processes, findings, and results. Eligibility & Skills Required Education: B.Tech (Computer Science, IT, AI/ML, Data Science, or related fields) from premium institutes. Internship Period- 3 to 6 months Strong foundation in Python, algorithms, and data structures. Knowledge of AI/ML frameworks such as Tensor Flow, PyTorch, Scikit-learn, etc. Familiarity with NLP, computer vision, or generative AI concepts will be an advantage. Strong problem-solving and analytical skills. Ability to work independently as well as in a collaborative team environment. What We Offer Hands-on experience in real-world AI development projects. Mentorship from senior professionals and domain experts. Opportunity to contribute to impactful business solutions. Stipend as per industry standards. Exposure to the insurance-tech ecosystem. Pre-placement offer will be made to the trainees based on the performances

Streamingo Solutions is looking for Deep Learning Engineer to join our dynamic team and embark on a rewarding career journey Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing existing products or concepts to ensure compliance with industry standards, regulations, and company policies Preparing proposals for new projects, identifying potential problems, and proposing solutions Estimating costs and scheduling requirements for projects and evaluating results

Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes. Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions that address client needs and drive transformation. Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across investment functions, client services, and operational process. Collect and curate datasets for model training and evaluation. Perform experiments using different model architectures and hyperparameters, determine appropriate objective functions and evaluation metrics, and run statistical analysis of results. Monitor and improve model performance through feedback and active learning. Collaborate with technology teams to deploy and scale the developed models in production. Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders. Stay up-to-date with the latest research in LLM, ML and data science. Identify and leverage emerging techniques to drive ongoing enhancement.

The Data Annotation Engineer role is an entry-level position for individuals who are interested in working in the Artificial Intelligence and Machine Learning industry We are looking for a candidate who is a self-starter, detail-oriented and adaptable The role will be focused on annotating tasks and delivering high quality by following a variety of instructions The role will be perfect for individuals who value challenge in their work You will be working cross-functionally with Supply Ops and Engineering to drive improvements in quality

We are streamingo.ai , a deep learning company working in the domain of activity recognition. The company has developed 2 products on a MEAN stack architecture. We are now looking for a specific skill set to augment our Core platform team of engineers ( They have developed https://deeplabel.app). Ideally youd have: Developing front end website architecture and user interactions web pages. Designing and developing APIs. Experience building complex web products end-to-end in one of the frameworks(Angular, React.) Expertise working on all parts of the stack (frontend, backend). Familiarity with databases (e.g. Cassandra, MongoDB).

Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects.Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain.

1-2 Years for FDI (Fusion Data Intelligence) and AI tools experience Experience of Oracle Fusion finance modules implementation 5-6 Yrs of experience developing integrations using Oracle Integration Cloud (OIC)Proficiency in Oracle Integration Cloud, including adapters (REST, SOAP, FTP, Database)Strong knowledge of APIs, SOA, REST, SOAP based web servicesExperience with JavaScript, XML, XSLT, and JSONDatabase concepts and SQL expertiseFamiliarity with Oracle Visual Builder and Oracle Process CloudExperience with other middleware tools or integration platformsImplementation knowledge of various adapters available in OICOAuth and JWT security implementationDevelopment knowledge of various types of integrations in OICJava development is preferredJavascript and Json development

Key Responsibilities: Build machine learning models to predict asset health, process anomalies, and optimize operations. Work on sensor data pre-processing, model training, and inference deployment. Collaborate with simulation engineers for closed-loop systems.Skills Required: Experience in time-series modeling, regression/classification, and anomaly detection. Familiarity with Python, scikit-learn, TensorFlow/PyTorch. Experience with ML Ops on Azure ML, Databricks, or similar. Understanding of manufacturing KPIs (e.g., OEE, MTBF, cycle time). Location - Bengaluru,India,Hyderabad,Chennai,Pune,Noida

Execute end-to-end Data Science projects including data collection, preprocessing, feature engineering, modelling, evaluation, and deployment. Design and implement advanced Machine Learning algorithms (classification, regression, clustering, ensemble methods) and Natural Language Processing algorithms (Knowledge Graphs, Topic Modelling, Feature Extraction, Sentiment Analysis, BERT etc.) Develop and deploy Generative AI and LLM-based solutions using platforms like OpenAI, Hugging Face, and LLama. Apply Agentic AI frameworks such as LangChain, LangGraph, Crew AI, or Microsoft Semantic Kernel to build intelligent applications. Proficient in designing and deploying scalable machine learning solutions using cloud architectures, with hands-on experience in at least one major platform (Azure, AWS, GCP, or IBM Cloud). Skilled in leveraging Databricks, ML platforms, managed databases, web hosting services, and document AI tools for end-to-end solution development. Collaborate with business stakeholders to define problem statements, deliver insights, and drive impact. Maintain reproducibility and version control using Git, GitHub Effectively communicate technical concepts and project outcomes to both technical and non-technical stakeholders. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 7–9 years of hands-on experience in Data Science, Machine Learning, Deep Learning, and NLP in a production environment. 2+ years of applied experience in Generative AI and LLMs (e.g., OpenAI, LLama). Proficiency in agentic AI development using frameworks like LangChain, LangGraph, or similar. Strong programming skills in Python and experience with ML/DL libraries Experience deploying models via REST APIs or web applications. Proficient in SQL for data extraction, transformation, and analysis. Experience working with large datasets, feature engineering, and data preprocessing pipelines. Solid understanding of model evaluation, cross-validation, and performance metrics. Experience in MLOps, including model testing, deployment pipelines, governance frameworks, and continuous monitoring for reliable and compliant machine learning operations. Experience with cloud ML pipelines and services (proficiency in at least one of Azure, AWS, GCP & IBM Cloud). Strong interpersonal and client communication skills.

An AI Data Scientist at IBM is not just a job title - it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) * Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skills machine learning,artificial intelligence,data science,python,deep learning,natural language processing,AI research,AI development*

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization Advise on AI-driven business models, innovation strategies, and regulatory compliance Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation Mandatory Key Skills machine learning,data science,python,deep learning,natural language processing,sql,neural networks,predictive modeling,R,Artificial intelligence*

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skills AI-driven business models,innovation strategies,regulatory compliance,AI research,data science,AI adoption*

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skills machine learning,artificial intelligence,data science,AI research,AI development,AI adoption*

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skills AI research,deployment strategies,regulatory compliance,AI-driven business models,AI implementation*

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skills machine learning,artificial intelligence,data science,mentoring,python,deep learning,natural language processing,AI research*