62 Deep Learning Jobs

As an AI Governance and QA Auditor at UPS, your role will involve evaluating, auditing, and ensuring the responsible, ethical, and compliant use of Artificial Intelligence and Machine Learning systems. You will play a crucial part in maintaining trust, fairness, transparency, and regulatory alignment across AI/ML initiatives while driving continuous improvement in model development, deployment, and monitoring practices. Collaboration with data scientists, engineers, risk/compliance teams, and business stakeholders to establish and enforce AI governance frameworks will be a key aspect of your responsibilities, leveraging advanced tools like IBM Watsonx Governance. **Key Responsibilities:** - ...

About the Role: As a Lead Data Scientist, you will be responsible for the architectural vision and hands-on execution of AI/ML/GenAI initiatives. You will design enterprise-scale ML/AI systems on AWS, focusing on traditional predictive modeling and cutting-edge GenAI workflows. Your role will involve driving strategies for MLOps, model lifecycle management, and automated deployment to ensure efficient time-to-market with high quality. Additionally, you will oversee cloud-native development, containerization, scalable data systems, CI/CD pipelines, infrastructure as code, and mentorship of team members. Key Responsibilities: - Lead the design and implementation of enterprise-scale ML/AI syste...

As a Senior Backend Developer (Python) with 7+ years of experience based in Chennai, your main responsibilities will include: - Designing, developing, and maintaining RESTful APIs and backend systems using FastAPI and Django. - Building, deploying, and managing microservices-based architectures for scalability and maintainability. - Integrating databases such as PostgreSQL, MySQL, or MongoDB with ORM frameworks (SQLAlchemy / Django ORM). - Implementing asynchronous operations and improving performance of I/O-bound services. - Writing unit/integration tests and maintaining high code quality through CI/CD pipelines. - Collaborating closely with DevOps, frontend, and product teams to deliver re...

As a Consultant in Business Consulting specializing in Data Science/Data Engineering, your role will involve designing and developing data pipelines, ETL processes, and analytical solutions. You will collaborate with cross-functional teams to understand business requirements and deliver scalable solutions. It is essential to ensure compliance, security, and performance in data solutions while effectively communicating with stakeholders and presenting technical solutions clearly. Your work environment will be in Agile setups where you contribute to CI/CD practices. Key Responsibilities: - Design and develop data pipelines, ETL processes, and analytical solutions. - Collaborate with cross-func...

As an AI Solutions Developer for Cybersecurity at BNP Paribas, your role is to develop AI-based solutions to enhance the capabilities of the Cyber and Fraud Detection teams. You will work closely with subject matter experts to adapt tools and continuously improve them based on user feedback. Leveraging Python and associated libraries, you will build and deploy machine learning models and user interfaces. **Responsibilities:** - **End-to-End Solution Ownership:** - Own the complete project lifecycleinteracting with business stakeholders, translating requirements, architecting solutions, developing, deploying, and supporting AI-powered cyber and fraud detection tools. - **Advanced Model Develo...

As the Director LL5 at Ford, you will lead a multidisciplinary team of data scientists, data engineers, and software engineers. Your role involves defining business problems, identifying data sources, developing analytical models, validating model performance, and leading product deployment initiatives. This leadership position presents an opportunity to drive AI and Analytics innovation for Finance Modernization. **Key Responsibilities:** - Provide strategic leadership for Finance and Insurance Analytics teams in the U.S. and India - Drive Finance modernization initiatives within the Global Data Insight and Analytics organization - Deliver actionable insights through effective communication...

As an Artificial Intelligence Faculty at Beta AI, your role will involve designing and delivering high-quality AI learning programs for College and School Students. You are expected to have a strong understanding of Artificial Intelligence, Machine Learning, and Generative AI systems, going beyond basic training to comprehend AI at a system and implementation level. Key Responsibilities: - Develop a structured AI curriculum ranging from Beginner to Advanced levels. - Design and implement AI-based solutions for practical applications. - Evaluate the performance and optimize AI models. - Ensure responsible and ethical AI practices are followed. - Create lesson plans, modules, assignments, and ...

As an AVP (C12) in the TTS Analytics team at Citi, your role will involve working on a variety of tasks to provide analytical insights to the Product, Pricing, Client Experience, and Sales functions within the global Treasury & Trade Services business. Your responsibilities will include: - Contributing to ideation on analytical projects aimed at addressing strategic business priorities. - Endlessly exploring ambiguity and open-ended questions that are essential to the team's work. - Taking ownership of end-to-end delivery of AI-powered products, from requirements gathering to deployment and support. - Designing and developing API-first services in Python and Node.js, as well as front-end int...

As an Associate Lead Data Scientist at YASH Technologies, you will play a crucial role in driving AI and data science initiatives. You will lead a team of data scientists and engineers to design, develop, and deploy advanced machine learning and AI solutions. Collaborating closely with business leaders, you will translate complex data into actionable insights while ensuring best practices in data science, MLOps, and scalable AI systems. **Key Responsibilities:** - Design and implement advanced machine learning, deep learning, and AI models in areas such as NLP, computer vision, recommendation systems, and generative AI. - Oversee data strategy, including preprocessing, feature engineering, a...

As an experienced Machine Learning Engineer, you will be responsible for the following: - Designing, developing, and implementing robust, scalable, and optimized machine learning and deep learning models, iterating with speed - Writing and integrating automated tests to ensure reproducibility, scalability, and alignment with quality standards - Implementing best practices in security, pipeline automation, and error handling using programming and data manipulation tools - Identifying and implementing data-driven approaches to solve open-ended business problems, leveraging data engineering capabilities - Researching and implementing new models, technologies, and methodologies into production s...

Role Overview: You will be a Machine Learning Engineer in the AI@EY Team, contributing to the creation of innovative AI technology and products that will transform EY and its clients. Your role will involve designing and building cutting-edge AI solutions that rely on AI and ML techniques such as natural language processing, computer vision, deep learning, and machine learning. Key Responsibilities: - Take on large problems, break them down into smaller components, and take ownership of delivering the complete solution - Utilize your expertise in object-oriented languages like Python, Go, Java, Scala, or C++ to develop scalable production services - Apply your knowledge of distributed storag...

You are a skilled Data Science Engineer sought by CARBYNETECH to join the Data Science & Analytics department. Your strong background in deep learning, particularly with CNN, RNN, and LSTM models, will be crucial. You will apply your expertise to computer vision, NLP, and Industry 4.0 applications, contributing to innovative solutions in the accounting and auditing industry. - Develop and implement deep learning models using CNN, RNN, and LSTM architectures. - Apply deep learning techniques to computer vision tasks, including image analysis and object detection. - Utilize NLP expertise, including experience with pre-trained language models like Transformer/GPT/BERT. - Contribute to Industry ...

As a Senior Data Scientist GenAI at our company, you will be responsible for leading the design, development, and deployment of advanced AI and Generative AI solutions. This customer-facing leadership role requires deep hands-on expertise across the entire AI lifecycle, from data engineering and model development to production deployment and team leadership. Key Responsibilities: - Lead end-to-end GenAI solution development, from data preprocessing to production deployment - Design and implement LLM, VLM, RAG, and Agentic AI systems - Build and optimize ML/DL models using modern and core techniques - Apply NLP Transformers and prompt engineering for enterprise use cases - Deploy scalable AI ...

**Role Overview:** As an AI/ML Intern at AVEVA, you will be part of the R&D team responsible for developing AI capabilities for existing products and building AI-enabling platform services. You will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI solutions for real-world problems. Your role will involve implementing, testing, and optimizing machine learning algorithms using relevant libraries and frameworks. Additionally, you will contribute to the development and refinement of AI pipelines, conduct literature reviews, and document technical processes to facilitate knowledge sharing within the team. **Key Responsibilities:** - Collaborate...

As an AIML Data Scientist, you will be a hands-on problem solver with a consultative approach, applying Machine Learning & Deep Learning algorithms to solve business challenges. You will utilize a wide variety of AI/ML techniques and algorithms to determine the best combinations for problem-solving. Your responsibilities will include estimating the business impact of deploying models, understanding business context and data dictionaries, and implementing relevant Deep Learning solutions for specific business challenges. You will also be involved in pre-processing data, feature engineering, and model development using tools such as Python, R, SQL, and Cloud data pipelines. Key Responsibilitie...

Job Description: As part of this opportunity with WNS for one of Uplers' clients, you will be responsible for the following: - Building and deploying Generative AI models for text generation and content automation - Working with latest AI stacks such as Nvidia-Nemo, NIM Microservices, Unsloth, Pytorch, Tensorflow, etc. - Developing Agentic AI systems with autonomous task planning and decision-making capabilities - Fine-tuning and operationalizing Large Language Models (LLMs) like GPT, Llama, BERT for NLP tasks using frameworks like Nemo, NIM, Unsloth, etc. - Establishing best practices for LLMOps including prompt engineering and monitoring - Designing and implementing end-to-end pipelines fo...

Role Overview: You will be leading and mentoring a multi-skilled product team consisting of data scientists, machine learning engineers, product designers, and software engineers in developing complex analytical and AI/ML data science products. Your role will involve providing technical expertise, hands-on experience with cutting-edge analytical tools, and translating business needs into analytical formulations to drive impactful and insightful data science products. Key Responsibilities: - Provide expert technical guidance and mentorship to data scientists & software engineers, contribute to code reviews, design discussions, and architect scalable data science solutions. - Lead, mentor, and...

In this role, you will be responsible for designing, developing, testing, deploying, and maintaining machine learning models using the Python programming language. You will collaborate with cross-functional teams to identify business problems and implement data-driven solutions. Conducting exploratory data analysis, feature engineering, and model evaluation to ensure high accuracy will be part of your key responsibilities. Additionally, implementing deep learning algorithms such as neural networks for complex problem-solving and participating in code reviews to ensure adherence to coding standards and best practices are crucial aspects of this role. Key Responsibilities: - Design, develop, t...

As an AI/ML Engineer, you will be responsible for the following: - Proficiency in Machine Learning & Deep Learning - Robust understanding of algorithms, model development, and optimization techniques using frameworks like TensorFlow, PyTorch, or Scikit-learn - Experience with Data Engineering & Preprocessing - Ability to handle large datasets, perform data cleaning, feature engineering, and implement ETL pipelines for AI workflows - Expertise in Natural Language Processing (NLP) & Computer Vision - Hands-on experience in building models for text analytics, sentiment analysis, image recognition, or similar AI applications - Programming & Cloud Deployment Skills - Advanced knowledge of Python ...

Job Descriptions:- Data Scientist We are looking for a highly analytical and business-focused Data Scientist who can drive end-to-end data science initiatives. The ideal candidate will have strong experience in predictive modeling, financial modeling, machine learning deployment, and data engineering. This role requires close collaboration with business stakeholders to translate complex problems into scalable analytical solutions. Role: Permanent Shift time: 08:00 am to 05:00 pm Location: Gurugram (Client location) 4 days from office Requirements: Applied predictive and financial modelling End-to-end delivery of business-focussed data science initiatives Analytical problem framing including ...

As an AI Lead Developer at our company, you will play a crucial role in spearheading AI projects from inception to deployment. Your responsibilities will include: - Leading the end-to-end development of AI projects, from conceptualization and architecture to implementation and deployment. - Collaborating with international clients to understand their business needs and translate them into effective AI solutions. - Architecting scalable, efficient, and robust AI models and systems, ensuring alignment with project goals and industry best practices. - Providing technical leadership, mentorship, and guidance to the AI development team. - Maintaining high standards of code quality, documentation,...

Role: AI ML Architect Required Technical Skill Set: Python/Java, Machine Learning, Deep Learning, Natural Language Processing, Data Science and Analytics Desired Experience Range: 7-12 years Location of Requirement: Delhi/Noida Desired Competencies (Technical/Behavioral Competency) Must-Have 10+ years of IT experience Strong Solutioning & Debugging Skills Strong programming skills in Python Expertise in machine learning is a must. In depth knowledge of various machine learning models and techniques; deep learning, supervised and unsupervised learning, natural language processing, and reinforcement learning. Expertise in data analysis and visualization to extract insights from large datasets ...

Role Overview: As a lead developer, you will be responsible for developing new software products and enhancing existing ones. Your expertise in Java, Springboot, and Microservices will be crucial for this role. You should be proficient in working with large-scale applications and frameworks while possessing excellent communication and leadership skills. Key Responsibilities: Write clean, high-quality, high-performance, and maintainable code Develop and support software, including applications, database integration, interfaces, and new functionality enhancements Coordinate cross-functionally to ensure projects meet business objectives and compliance standards Support the testing and deploymen...

Job Title - S&C GN - Data Science Consultant Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Experience & Educational Qualification: -PhD with 2+ years of relevant experience, OR. -Master-s degree with 3+ years of experience, OR -Bachelor-s degree with 4+ years of experience. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), generative ai, and advanced analytics. Our work involves analyzing customer co...

Job Title - S&C GN - Data Science Analyst Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Experience & Educational Qualification: -PhD with 1+ years of relevant experience, OR. -Master-s degree with 2+ years of experience, OR -Bachelor-s degree with 3+ years of experience. Must have skills:Machine Learning/Deep Learning, Gen AI, NLP, Python, R, AI, SQL, Unstructured Data Handling (text, audio, emails, chat, others) Good to have skills: -Experience in Graph Neural Networks (GNNs) for complex relational data modelling. -Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. -A track record of scientif...