5650 Deep Learning Jobs - Page 48

Role & responsibilities : Job description Role & responsibilities We are seeking a skilled AI/ML Engineer proficient in Python to join our dynamicteam. In this role, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI systems. You will be responsible for implementing algorithms and workflows that enable our organization to leverage data for insightful decision-making and innovative product solutions. Key Responsibilities:- Develop machine learning models and algorithms using Python and relevant libraries (e.g., Tensor Flow, PyTorch, sci-kit-learn). Min 6 months of experience in Gen AI and Proficiency in could technologies such as AWS...

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Designing and building intelligent AI assistants and agent-based systems that help automate and improve business and include developing robust and secure backend platforms, integrating APIs and vector databases such as Qdrant, and working with LLM.

We're hiring an experienced AI/ML Model Engineer to develop computer vision & AI-CAD solutions for enterprise clients. Work with U.S.-based teams to build & deploy scalable ML models. Requires 5+ yrs in ML, Python, TensorFlow/PyTorch & CAD expertise.

Develop and fine-tune generative models (LLMs, GANs, VAEs), optimize prompts, build data pipelines, deploy AI models on cloud/on-prem, ensure scalability, conduct A/B tests, and collaborate across teams using Python, ML frameworks, and MLOps tools.

Job Description: AI/ML Model Development & Deployment Focused on marketing and operations use cases Deep Learning – CNNs, RNNs, Transformers, Attention Mechanisms Generative AI – Experience with OpenAI (GPT, DALL•E, Whisper) and Anthropic (Claude) Agentic AI Platforms – AutoGen, CrewAI, AWS Bedrock Multimodal AI – Building agents using text, voice, and other inputs for automation Python Programming – Proficient with NumPy, Pandas, Matplotlib, TensorFlow, PyTorch Traditional ML Techniques – Supervised/Unsupervised Learning, PCA, Feature Engineering, Model Evaluation, Hyperparameter Tuning Data Analytics – Predictive analysis, clustering, A/B testing, KPI monitoring MLOps & CI/CD – Model versi...

We re looking for an ML Engineer (Applied Science) to train models for various realtime English conversational skills improvement use cases. Example projects include: - Personalised english learning exercise recommendation system - Build demographic specific ASRs sensitive to various accents, - Empathy driven role play, similar to how an offline tutor would interact with a student, - Training models for grammar/vocab/accentuated pronunciation and similar speech feedback metrics The role involves experimenting with different training strategies, creating datasets, building task specific evals, beating our internal SOTA, deploying in production, and repeat! Desired experience : You have 4+ yea...

We re looking for an ML Engineer (Applied Science) to train models for various realtime English conversational skills improvement use cases. Example projects include: - Personalised english learning exercise recommendation system - Build demographic specific ASRs sensitive to various accents, - Empathy driven role play, similar to how an offline tutor would interact with a student, - Training models for grammar/vocab/accentuated pronunciation and similar speech feedback metrics The role involves experimenting with different training strategies, creating datasets, building task specific evals, beating our internal SOTA, deploying in production, and repeat! ! Desired experience : You have 2+ y...

Future Interns is looking for Machine Learning to join our dynamic team and embark on a rewarding career journey Develop and train machine learning models using data sets to address specific business problems Work with stakeholders to identify problems and opportunities where machine learning can be applied to improve processes or create new business opportunities Design and implement data pipelines to ingest, clean, transform, and prepare data for analysis Apply various techniques such as clustering, classification, regression, neural networks, deep learning, and reinforcement learning to build models Optimize and fine-tune machine learning models to improve performance and increase accurac...