1513 Deep Learning Jobs - Page 25

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.

Role: Python Developer Experience: 2 - 5 Yrs Location: Chennai Skills: Python/AI/ML/Deep Learning/TensorFlow/ Regards Kavi C 78258 90269

Greetings From Mind Pro Technologies Pvt ltd (www.mindprotech.com) Job Title : Data Scientist Work Location : Karur (Tamil Nadu) or Dharwad (Karnataka ) Np : 15days or Less JOB DESCRIPTION: Must have At least 4+ Years of experience in Python with Data Science. Must have worked on at least one Live project. Experience in relevant field such as Statistics, Computer Science or Applied Math or Operational Research. Must have Masters in (Maths/Statistics or Applied Mathematics/Machine Learning etc.) History of successfully performing customer implementations Strong customer facing skills, and previous consulting experience. Experience of handling high frequency streaming data for real time analysis and reporting. Familiarity with - Natural Language Processing, Statistical Analysis (distribution analysis, correlation, variance, deep learning. Experience in tools like AWS, IBM Watson is a plus. Experience with open source technologies is a must. Excellent communication Ability to lead & build strong teams Ability to work in an ambiguous environment Desired Skills and Experience Languages/Tools: Python/R. Approaches: Machine Learning Concepts: Supervised ANN, Bayesian, Gaussian, Vector Quantization, Logistic Model, Statistical, Predictive Modeling, Minimum Message Length, SVM, Random Forest, Ensembles, ANOVA, Decision Trees, Hidden Markov Models Unsupervised ANN, ARL, Clustering Hierarchical, Cluster Analysis Reinforcement Gen AI, LLM, LSTM, RNN, CNN, KNN Big Data (Good to have): Hadoop /Kafka / Storm / Spark streaming OS: Linux, Windows 32/64 bits. Note: should know supervised and unsupervised learning, semi-supervised learning, neural networks concepts, and how ML algorithms works with training and testing data. Experience on particular data set to train, test and roll-out for production use Tool sets : Python, R, MATLAB or any AI frame work, Neural network, Gen AI, LLM Contact Details: Recruitment Team Mindpro Technologies Pvt Ltd ( www.mindprotech.com ) +91-04324-240904 / +91-9600672304

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.

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.

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.

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.

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.

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.

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.

Experience Required 2 to 4 years of experience in AI/ML model development, deployment, and optimization. Hands-on experience in building machine learning pipelines and working with large datasets Domain Experience (Functional) Experience in domains such as natural language processing (NLP), computer vision, predictive analytics, or recommendation systems. Exposure to industry-specific AI applications (e.g., healthcare, finance, retail, manufacturing) is a plus. Qualification Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field Roles & Responsibilities Design, develop, and deploy machine learning and deep learning models. Collaborate with data engineers and domain experts to collect, clean, and preprocess data. Conduct experiments, evaluate model performance, and iterate for improvement. Integrate AI models into production systems and monitor their performance. Stay updated with the latest research and advancements in AI/ML. Document model development processes and contribute to knowledge sharing. Technical Skills Proficient in Python and core ML libraries: TensorFlow, PyTorch, Scikit-learn. Strong with Pandas, NumPy for data handling. Solid grasp of ML algorithms, statistics, and model evaluation. Familiar with cloud platforms (AWS/Azure/GCP). Experience with Git and basic CI/CD for model deployment

Applications are invited for the Post of Junior Research Fellowship (JRF) for the DST_SERB Funded Project in the School of Electronics Engineering (SENSE), FILENO. CRG/2023/005678, Vellore Institute of Technology (VIT). Title of the Project : EEG-based investigation of the fundamental frequency coding for source segregation in elderly normal-hearing adults. Qualification : First division Master's Degree in Electronics and Communication Engineering or equivalent with specialization in Signal Processing or B.Tech. in ECE/EIE/EEE/ETC from a recognized University or equivalent. Desirable: GATE/NET qualified; however, non-GATE/NET candidates are also encouraged to apply. Describe if any Candidates must have strong knowledge of Signal Processing and MATLAB software. Additionally, knowledge of Deep Neural Networks will be given more preference. The candidate will acquire the neural representations of speech signals using the EEG device from human subjects (younger and older subjects), apply signal processing techniques to these neural representations to test the hypotheses, and will be responsible for writing project reports, papers, and coordinating project activities. Stipend : 31,000/- (for starting 6 months) and 35,000 (last year) per month for GATE/NET-qualified candidates . Sponsoring Agency : DST-SERB, Government of India. Duration : 1.5 years Principal Investigator : Dr. Anantha Krishna Chintanpalli , Professor in Communication Engineering, School of Electronics Engineering, Vellore Institute of Technology (VIT), Vellore - 632 014, Tamil Nadu. Co-Principal Investigator : Dr. R. Sivakumar Professor in Sensor and Biomedical Technology School of Electronics Engineering Vellore Institute of Technology (VIT) Vellore - 632 014, Tamil Nadu. Send your CV along with relevant documents about the details of qualifications, scientific accomplishments, experience (if any), and the latest passport-size photo on or before 20/06/2025. Apply online http://careers.vit.ac.in. No TA and DA will be paid for appearing in the interview. Shortlisted candidates will be called for an interview at a later date, which will be intimated by email. Candidates will be shortlisted based on their merit and as per the requirements of the project. The selected candidate will be expected to join on or before 1st August 2025. The selected candidate may be permitted to register for the PhD program of VIT Vellore subject to fulfilling the requirements of the PhD qualification process as per the institute norms.

XenonStack's Artificial Intelligence team is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. Your goal will be to shape and build efficient self-learning applications. Key Responsibilities: Study and transform data science prototypes Design machine learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select relevant datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Requirements Technical Requirement: Knowledge in Machine Learning Engineer or similar role Understanding of data structures, data modelling, and software architecture Deep knowledge of maths, probability, statistics, and algorithms Ability to write robust code in Python, Java, and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Professional Attributes: Excellent communication skills & Attention to detail. Analytical mind and problem-solving Aptitude with Strong Organizational skills & Visual Thinking. Education: Technical Graduates (BCA, BSC, B. Tech), MCA, MSC, and M.Tech with strong data structure and algorithm Skills Benefits: Dynamic and purposeful work culture in a people-oriented organization contributing to multi-million-dollar projects with guaranteed job security. Open, authentic, and transparent communication fostering a warm work environment. Regular constructive feedback and exposure to diverse technologies. Recognition and rewards for exceptional performance achievements. Access to certification courses & Skill Sessions to develop continually and refine your skills. Additional allowances for team members assigned to specific projects. Special skill allowances to acknowledge and compensate for unique expertise. Comprehensive medical insurance policy for your health and well-being.

Strong programming skills in Python, with experience in PyTorch or TensorFlow. Hands-on experience with CNNs Solid knowledge of Vision Transformers, including recent architectures (e.g., Swin, DeiT). YOLO, SSD, Faster R-CNN, RetinaNet, DETR Required Candidate profile Experience in video analysis and temporal modeling. Strong grasp of audio classification workflows and features. large-scale datasets and designing data pipelines.

About the Role: We are seeking a highly skilled and innovative AI/ML Engineer with a strong background in Generative AI (LLMs, RAG, Multimodal models, Agentic AI) , core Machine Learning (including Deep Learning, NLP, and Vision), and hands-on experience with Data Visualization tools like Tableau . The ideal candidate should also be familiar with deploying solutions on cloud platforms, particularly AWS . Key Responsibilities: Design, develop, and fine-tune Large Language Models (LLMs) for diverse use cases using prompt engineering, fine-tuning, and embeddings. Implement Retrieval-Augmented Generation (RAG) pipelines with semantic search and vector databases (e.g., FAISS, Pinecone). Work on multimodal AI models involving text, image, and audio data for advanced AI capabilities. Build agentic AI systems using frameworks like LangChain, OpenAgents, or similar libraries. Develop, train, and evaluate Machine Learning /Deep Learning models for NLP and Computer Vision (object detection, OCR, etc.). Create insightful data dashboards and visualizations using Tableau to support business decision-making. Deploy ML pipelines and models on AWS cloud services (e.g., S3, SageMaker, Airflow, Glue). Familiarity with Microsoft Azure especially for OpenAI Collaborate with cross-functional teams to understand business problems and translate them into AI/ML solutions. Keep up-to-date with the latest advancements in Gen-AI, open-source tools, and cloud technologies. Preferred Qualifications: Bachelors or Masters in Computer Science, Data Science, or related field Required Skills: Gen-AI & LLMs: Experience with OpenAI, HuggingFace Transformers, LangChain, LlamaIndex, RAG architectures Experience in LLM evaluation, prompt optimization , fine-tuning/customizing base models Familiarity with agentic workflows , function calling, and orchestration tools Machine Learning: Strong fundamentals in deep learning, NLP, and computer vision Experience with TensorFlow, PyTorch, Scikit-learn Good grasp of model deployment, monitoring, and evaluation metrics Visualization & Storytelling: Proficient in Tableau for data visualization, dashboards, and storytelling with data Cloud & DevOps: Familiarity with AWS services (S3, Lambda, SageMaker, Glue , MWAA) Comfortable with Bitbucket (Git ) and CI/CD pipelines

Location : Vadodara (Onsite only) Job Summary: We are looking for a highly skilled and experienced AI/ML Engineer with 8 to 10 years of relevant experience in developing end-to-end machine learning solutions. The ideal candidate will be well-versed in deep learning, natural language processing (NLP), computer vision, and large language models (LLMs). You will be responsible for designing, developing, and deploying scalable AI models tailored to real-world business use cases. Key Responsibilities: Design, train, evaluate, and deploy machine learning and deep learning models aligned with business goals. Work with various ML tasks such as classification, regression, and clustering. Handle NLP, LLMs, computer vision, and speech-to-text use cases. Implement and fine-tune models like LLaMA, Falcon, BERT, T5 Transformer, and Hugging Face models. Use libraries such as NumPy, Pandas, Matplotlib, SpaCy, Scikit-learn, TensorFlow, and PyTorch. Write clean, efficient Python code for data processing and model development. Utilize tools like Google Colab, Jupyter Notebook, and AWS SageMaker for experimentation and deployment. Monitor data drift and automate model retraining pipelines as required. Deploy AI models on cloud infrastructure (preferably AWS) using services like SageMaker, EC2, ECS, and Kubernetes. Collaborate with cross-functional teams to translate complex problems into AI solutions. Good to Have: Experience working with LangChain or LLaMAIndex . Familiarity with RAG-based (Retrieval-Augmented Generation) application development. Hands-on experience with Google Cloud Platform (GCP) for model deployment.

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.

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.

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.

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.

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.

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.

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.

Develop algorithms that apply deep learning and innovative methods in NLP & computer vision, combined with traditional large sophisticated solutions/codebases! Developing innovative solutions using Generative AI, Python, Machine Learning and Data Science! Build experiments, algorithms and ship solution that not only yield high accuracy but are also crafted and engineered to scale. Collaborate across multiple research and engineering teams, making the tradeoffs required to rapidly deliver AI/ML software solutions. Driven, Energetic and a team player are must haves.

signdesk is looking for Consultant- AI Developer to join our dynamic team and embark on a rewarding career journey Develops AI-powered applications and tools for business use cases Builds machine learning models and optimizes their deployment Works closely with clients to define AI strategy and solutions Contributes to research, documentation, and training modules