25 Deep Learning Jobs

Hi, We are hiring for ML Developer. Please find the attached JD. Key Responsibilities Design, develop, and optimize machine learning models for various business applications. Build and maintain scalable AI feature pipelines for efficient data processing and model training. Develop robust data ingestion, transformation, and storage solutions for big data. Implement and optimize ML workflows, ensuring scalability and efficiency. Monitor and maintain deployed models, ensuring performance, reliability, and retraining when necessary Preferred candidate profile Qualifications and Experience Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field...

As a Python Developer at this company, you will be responsible for the following: - Positive hands-on experience with python programming language. - Knowledge of Data preparation and data analysis using python pandas or equivalent. - Building Machine learning models, end to end steps form Data understanding and inference generation. - Making of reports using python visualization libraries like matplotlib, seaborn etc. - Practical knowledge about ML use cases, supervised and un-supervised learning. - Understanding of 'Recommendation systems'. - Awareness about AWS cloud components like S3, lambda, Sagemaker. - Awareness about GCP cloud components like GCS, vertex AI, notebook scheduling. - Da...

As a Manager at Global Data Insights and Analytics (GDI&A) at Ford Motor Company, you will be responsible for leading and mentoring a multi-skilled product team consisting of data scientists, machine learning engineers, product designers, and software engineers. Your role will involve guiding the team through the entire lifecycle of complex analytical and AI/ML data science products, with a focus on driving value and transforming Ford Motor Company through evidence-based decision making. **Key Responsibilities:** - **Technical Leadership:** - Provide expert technical guidance and mentorship to data scientists & software engineers. - Contribute to code reviews, design discussions, algorithm s...

As a member of the team, your role involves providing advanced analytics solutions to clients. You will design and implement these solutions to address business challenges effectively. - Consult with clients to understand their business needs and challenges - Develop and implement advanced analytics solutions using various techniques - Communicate findings and insights to clients - Prepare and deliver presentations and reports - Manage projects and timelines effectively To excel in this role, you should possess the following qualifications and skills: - Master's degree in Statistics, Mathematics, or a related field - Experience with advanced analytical techniques such as machine learning, de...

As an AI/ML Engineer at an Indian, Chennai-based deep-tech startup, your primary responsibility will be to design, train, and optimize deep learning models for image classification and object detection. Your role will involve implementing and maintaining end-to-end computer vision pipelines, developing, deploying, and managing models on cloud platforms, and handling the full model lifecycle. Additionally, you will work closely with cross-functional teams to integrate AI models into production environments, monitor and evaluate model performance, and maintain comprehensive documentation for reproducibility and compliance. **Key Responsibilities:** - Design, train, and optimize deep learning m...

As an AI Systems Developer at our company, your role involves developing, training, and deploying AI and Generative AI (GenAI) systems using Python and frameworks like PyTorch. You will be working on large language models (LLMs) such as GPT-4o, Llama, Mixtral, and related SLMs (Phi, Gamma, Triplex). Your responsibilities include implementing prompt engineering, data preprocessing, model fine-tuning, and evaluation pipelines. Additionally, you will be building AI solutions across various domains like NLP, computer vision, deep learning, and other AI applications. It is crucial to utilize MLOps, CI/CD, cloud computing, and containerization for production-ready model deployment. Working with to...

As an AI Engineer at our company, you will have the exciting opportunity to work with cutting-edge technologies in data science, machine learning, and deep learning. Your role will involve building and deploying new AI products from the ground up, contributing to the development of our AI strategy, and defining the problems we aim to solve with AI. To succeed in this role, you must become an expert in building AI models and implementing them into production. **Responsibilities:** - Set up and manage the AI development and production infrastructure. - Collaborate with AI product managers and business stakeholders to explain the potential and limitations of AI for new product planning. - Devel...

As an AI Lead Developer, you will play a crucial role in spearheading AI projects for international clients, leading a team of developers, collaborating with stakeholders, and driving innovative AI initiatives that deliver real business value. Key Responsibilities: - Lead end-to-end development of AI projects, from conceptualization to deployment, ensuring alignment with project goals and industry best practices. - Collaborate with international clients to understand their business needs and develop effective AI solutions. - Architect scalable and robust AI models and systems, providing technical leadership and mentorship to the development team. - Maintain high code quality standards, docum...

Role Overview: As the Lead Data Scientist at Aventior, you will play a crucial role in driving data-driven decision-making and advancing the organization's AI and analytical capabilities. You will be responsible for leading a team of Data Scientists, AI Engineers, and Data Analysts, collaborating with cross-functional teams, and contributing to the development and implementation of AI and advanced analytics solutions. Your role will involve leading, inspiring, and mentoring the AI and Data Science team to foster a collaborative and innovative work environment. Additionally, you will conduct regular performance assessments and contribute to professional development plans. Key Responsibilities...

As a Data Science Senior Analyst in this role, you will be required to apply your in-depth disciplinary knowledge to contribute to the development of new techniques and processes. Your responsibilities will include: - Conducting strategic data analysis to identify insights, implications, and make strategic recommendations - Developing data displays that clearly communicate complex analysis - Mining and analyzing data from various banking platforms to drive optimization and improve data quality - Building machine learning models (Random Forest, LightGBM, etc.) across multiple use cases - Performing exploratory data analysis to support hypotheses and applying different feature engineering and ...

4+ years of experience in machine learning or NLP, with recent hands-on work in generative AI. • Strong programming skills in Python and experience with ML libraries like PyTorch, TensorFlow, Transformers (Hugging Face). • Experience working with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models. • Familiarity with prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques. • Understanding of vector databases (e.g., Pinecone, FAISS, Weaviate). • Proficient with tools like LangChain, LlamaIndex, or Haystack. • Experience with model evaluation, performance tuning, and safety constraints.

Role Overview: You will be joining the Strategy and Enterprise Analytics Team, which provides insights and decision support tools to various business partners in sustainability and electric vehicles at Ford. Your main focus will be to deliver value through critical thinking, AI/ML, big data analytics, and optimization techniques on Google Cloud Platform (GCP). Your role will involve leveraging advanced analytics and domain knowledge to develop analytics models, decision-support tools, and services aimed at increasing profit, supporting strategic initiatives for electrification, and designing solutions for holistic decision-making at the enterprise level. Key Responsibilities: - Lead a team o...

Role Overview: You will be responsible for designing, developing, and deploying machine learning, deep learning, and AI-driven models. Analyzing large datasets to extract insights and build predictive models will also be a key part of your role. Additionally, you will work with data processing tools like Pandas and NumPy. Key Responsibilities: - Design, develop, and deploy machine learning, deep learning, and AI-driven models. - Analyze large datasets to extract insights and build predictive models. - Work with data processing tools like Pandas and NumPy. Qualifications Required: - Good experience in machine learning and deep learning techniques. - Proficiency in Python and data analysis lib...

Role Overview: At EY, as an OSS-Assurance & Analytics Technology Consultant - Senior, you will have the opportunity to work on projects across the Americas, EMEIA, and APAC regions, serving the entire telecommunications spectrum. Your role will involve leading the implementation of Ciena/Blue Planet products and integrating them with telecommunications operators Operations Support Systems (OSS). You will play a key role in ensuring the delivery of quality software solutions to clients in a timely manner and within budget. Key Responsibilities: - Deliver and implement Ciena Blue Planet products for OSS systems - Drive and participate in business analysis, design, development, testing, deploym...

Responsibilities Translate business requests into data requirements, extract the required structured and unstructured data and prepare large-scale datasets for modelling Identify high-value use cases through data exploration and visualization Develop AI applications using state-of-the-art (Gen)AI technology Come up with concrete prototypes (MVP) to demonstrate their value to the customer Deploy prototypes to production, with support of Tech enabler team & IT, to obtain reliable, scalable systems Present your results in a clear manner and discuss them with multi-functional project teams Work in close collaboration with business experts (e.g. for requirement gathering, data source identificati...

As a Data Scientist at our company, you will lead data-driven initiatives, build advanced models, and provide actionable insights to support strategic decision-making. Your expertise in Machine Learning, Deep Learning, NLP, and Python will be crucial in guiding junior team members and managing end-to-end data science projects. Key Responsibilities: - Formulate, propose, and manage data-driven projects aligned with business objectives. - Collect, clean, and prepare data from multiple sources for analysis and modeling. - Build, evaluate, and optimize machine learning, deep learning, and NLP models. - Ensure model robustness through cross-validation and scalability checks. - Produce clear non-t...

As a Senior Data Scientist at this company, your role will involve providing data science and quantitative analytical support for regulatory reporting, medical safety analysis, and safety surveillance. You will be responsible for building and scaling AI / ML and Generative AI capabilities to support case management, safety profiling, and management metrics. Additionally, you will independently manage small to medium-sized data science projects. Key Responsibilities: - Strong hands-on experience in Machine Learning, Deep Learning, NLP, Text Mining, Time Series, and Image Processing - Utilize Generative AI and LLMs (GPT, BERT, LLaMA, Claude, Mistral) for various tasks - Apply Agentic AI and LL...

As an experienced AI/Machine Learning Engineer, your role will involve designing, innovating, and building the next generation ML architecture. Your responsibilities will include: - Full-time programming experience within an operation or technical department - Identifying valuable data sources and automating collection processes - Undertaking pre-processing of structured and unstructured data - Analyzing large amounts of information to discover trends and patterns - Building predictive models and machine-learning algorithms - Combining models through ensemble modeling - Collaborating with engineering and product development teams - Teaching and mentoring others in the use of AI/Machine Learn...

As an Associate Lead Data Scientist, you will have the exciting opportunity to work with a dynamic team of researchers, data scientists, and developers. Your primary focus will be on developing and optimizing cutting-edge AI solutions in various industries such as commerce, agriculture, insurance, financial markets, and procurement. Here is a breakdown of your responsibilities: Key Responsibilities: - Develop, optimize, and lead ML, NLP, Deep Learning, and Generative AI model/projects. - Research and implement state-of-the-art algorithms for supervised and unsupervised learning. - Handle large-scale datasets in distributed environments. - Apply the best ML approaches based on an understandin...

Role Overview: As an AI/ML Engineer at EY, you will have the opportunity to build a career within a global organization that supports your unique voice and perspective. You will play a crucial role in developing AI/ML models to drive valuable insights and enhance decision-making processes across various business lines. Your contributions will be essential in creating a better working world for all. Key Responsibilities: - Develop robust AI/ML models to optimize customer experiences, revenue generation, ad targeting, and other business outcomes. - Utilize predictive modeling techniques such as SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting, etc., to solve complex prob...

As an AI Developer at our company, you will be responsible for developing, training, and deploying AI and Generative AI (GenAI) systems using Python and frameworks like PyTorch. You will work on large language models (LLMs) such as GPT-4o, Llama, Mixtral, and related SLMs (Phi, Gamma, Triplex). Your role will involve implementing prompt engineering, data preprocessing, model fine-tuning, and evaluation pipelines to build AI solutions across various domains including NLP, computer vision, deep learning, and other AI applications. Additionally, you will utilize MLOps, CI/CD, cloud computing, and containerization for production-ready model deployment. You will work with tools like Databricks, S...

As a developer in this role, you will be responsible for developing applications and systems that utilize AI to enhance performance and efficiency. This includes expertise in deep learning, neural networks, chatbots, and natural language processing (NLP). Key Responsibilities: - Strong interpersonal and communication skills are essential for engaging with customers to solve business problems using AI/NLP. - Identify the applicability of machine learning (ML) and NLP to various use cases, projecting both business and technology benefits. - Find ways to seamlessly embed/integrate AI/ML services into the enterprise architecture. - Stay updated on new technology innovations in the NLP and ML fie...

Role : Gen AI Engineer Location: AIA-Noida Exp: 3 to 12 years Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models w...

Role Overview: You will be responsible for developing AI/ML and CVML-based solutions for manufacturing, focusing on enabling smart, automated quality assurance within advanced manufacturing environments. Your role will involve contributing to the design, deployment, and optimization of AI-driven inspection systems, leveraging computer vision, machine learning, and edge-based analytics to ensure product integrity and process efficiency. Collaboration with cross-functional teams to integrate intelligent quality solutions into production workflows, support continuous improvement initiatives, and maintain compliance with global quality standards is a key aspect of this position. You will gain ha...

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Python (Programming Language) Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks an...