12101 Deep Learning Jobs - Page 28

Primary Responsibilities: Drive client value by: Creating innovative solutions driven by exploratory data analysis from diverse datasets Responsible for developing/delivering end-to-end Machine Learning projects/solutions that have a high degree of value, ambiguity, scale and complexity Ability to coach/guide follow data scientists and accountable for delivering advanced analytics products Using an analytical approach to design, develop, and implement data enrichments, predictive models, and advanced algorithms that lead to expanded value extraction from data Leading efforts for applied use of machine learning to drive process optimization and transformation Applying knowledge of data modeli...

Job Summary: We are seeking a highly skilled Python Developer for Data Science department with deep expertise in data science. This role demands strong experience in designing, developing, deploying, and maintaining full-stack production-grade AI/ ML solutions. The ideal candidate will bring 5+ years of Python development, a solid foundation in software engineering principles, and a passion for supporting projects that apply machine learning, AI, and statistical modelling to generate actionable insights and drive business value. Key Responsibilities: Collaborate with stakeholders to define and translate business challenges into data science solutions Build, deploy, and optimize machine learn...

Position Summary: The QA Engineer contributes to the design, implementation, and maintenance of enterprise-scale ML/AI systems. This role focuses on hands-on development, system optimization, and technical execution while supporting strategic initiatives. The Team: The candidate will join a growing team of Engineers & Data Scientists as a member of the Data Science and Platforms team in Market Intelligence (MI) Enterprise Solutions (ES) at S&P Global. We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, Gen AI, Operations Research, Data and Machine Learning Eng...

Job Title: Senior Manager – Data Science Job Grade: G9B Function: Global Information Technology Sub-function: Data Science & Analytics Manager’s Job Title: SGM, Data & Analytics Skip Level Manager’s Title: AVP, Enterprise Applications Function Head Title: Chief Information Officer Location: Sun House, Mumbai No. of Direct Reports (if any) ~ up to 3 Areas of Responsibility At Sun Pharma, we commit to helping you “ Create your own sunshine ”— by fostering an environment where you grow at every step, take charge of your journey and thrive in a supportive community. Are You Ready to Create Your Own Sunshine? As you enter the Sun Pharma world, you’ll find yourself becoming ‘Better every day’ thro...

We are seeking an experienced Senior Data Science Engineer to join our innovative team. As a Machine Learning and Generative AI Specialist, you will play a critical role in developing and deploying advanced ML models and algorithms to drive data-driven decision-making processes. Here are the key responsibilities and desired skills: 1. Algorithm Development: o Design and implement machine learning algorithms for various applications, including natural language processing (NLP), recommendation systems, and predictive analytics. o Leverage your expertise in deep learning and generative AI to create innovative solutions. 2. Data Processing and Analysis: o Collect, preprocess, and analyze large-s...

Strong understanding of machine learning principles and model lifecycle management. Proficiency in programming languages such as Python, with hands-on ex Exp in machine learning frameworks. Exp with cloud platforms like AWS, Azure, or Google Cloud Required Candidate profile 5-7 years of experience in MLOps, or a related field. Bachelor’s degree in Computer Science, Data Science or a related field.

Greetings from GeakMinds, Please find the JD below. Job descriptionRole: Data Science / AI - Manager Experience: 7 - 12 + years Qualification: BE/B.Tech Responsibilities Engage with clients to understand business problems and come up with approaches to solve them. Ability to articulate Analytics/Data Science solutions to clients. Guide, mentor, and coach junior team members. An ideal candidate would have the below skill sets. Good understanding of statistical and data mining techniques. Hands-on Experience in building Machine Learning models in Python. Ability to collect, clean, and engineer large amounts of data using SQL/PySpark techniques. Data analysis and visualization skills to bring o...

Position Summary: Senior Data Scientist with excellent hands-on technical skills responsible for designing and building end-to-end ML/AI solutions, implementing technical strategy, and mentoring engineering colleagues to build scalable production systems. The Team: The candidate will join a growing team of AI Engineers & Data Scientists as a member of the Data Science and Platforms team in Market Intelligence (MI) Enterprise Solutions (ES) at S&P Global. We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, Gen AI, Operations Research, Data and Machine Learning ...

What you''ll do: Develop and implement digital twin architectures for patient modeling, using structured and unstructured patient data. Research novel AI and translate it into innovative new approaches Provide SME support to other project and engineering teams Work closely with AI clients on their solutions both on AI engagements and as part of a broader engagements Lead or contribute to research initiatives targeting innovation in patient simulation, precision medicine, and virtual clinical trials. Stay abreast of emerging AI and healthcare trends; contribute to thought leadership through publications, patents, or conference presentations. Mentor junior AI team members on their technical sk...

Requirements: 1. Bachelor's degree or higher in Computer Science 2. Minimum of 8 years of professional experience in software development and engineering. 3. Strong proficiency in programming languages such as Python, C++, and/or Java. 4. Experience with quantum computing frameworks and platforms such as IBM Quantum, Google Cirq, or Microsoft Quantum Development Kit. 5. Solid understanding of quantum mechanics and quantum computing principles. 6. Proven track record of successfully delivering complex projects in a fast-paced, dynamic environment. 7. Excellent problem-solving and analytical skills. 8. Effective communication skills, with the ability to convey complex technical concepts to bot...

Project description We are seeking a skilled Machine Learning Engineer to develop and deploy Graph Neural Network (GNN) based surrogate models that approximate complex physics simulations for oil & gas pipeline and well networks This is a hands-on role for someone who can build high-fidelity neural network models that replace computationally expensive reservoir and network simulators (Nexus, Prosper) Responsibilities Design and implement Neural Network architectures to model flow dynamics in interconnected pipeline networks Build surrogate models that accurately predict pressure distributions, flow rates, and network behavior under varying operational scenarios (training data is acquired thr...

2+ years of experience in ML, Data Engineering, or DevOps / MLOps roles. Strong understanding of ML lifecycle management, data pipelines, and model deployment patterns. Experience with GCP Vertex AI, AI Platform Pipelines preferred. Required Candidate profile Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.

We are currently looking for a Senior Engineer, Machine Learning Engineering for Operational Intelligence Program, within B&MI group. This role would entail development and delivery of secure, scalable, and high-performing AI/ML solutions. As a senior technologist, this role will also focus on engineering best practices, next gen innovation and stakeholder management, while fostering a culture of continuous learning and technical excellence within the team. Roles and Responsibilities: Lead the design and development of AI and analytics solutions spanning classical machine learning, time-series forecasting, statistical modeling, deep learning, and emerging agent-based architectures Develop pr...

Job Description: We are seeking a highly skilled and innovative Technical Lead ( AI/ML/GenAI) with strong hands-on experience in Agentic AI, Machine Learning, and Cloud Platforms like AWS and Databricks. The ideal candidate will be proficient in building intelligent systems using agentic frameworks to deliver scalable, production-grade solutions such as chatbots and autonomous agents. Key Responsibilities: Lead the design, development, and deployment of advanced machine learning models and algorithms for various applications. Build and optimize chatbots and autonomous agents using LLM endpoints and frameworks like LangChain, Semantic Kernel, or similar. Implement vector search using technolo...

Responsibilities: * Develop ML models using Python & PyTorch * Optimize model performance through fine tuning * Collaborate with cross-functional teams on project delivery * Stay updated with latest AI trends & technologies House rent allowance Referral bonus Flexi working Provident fund Annual bonus

Must Have: 1.Machine Learning - Supervised and unsupervised learning 2. Python - NumPy, Pandas 3. Statistical analytics 4. Keras, Tensors, Pytorch 5. SQL Job Description : Strong python experties, strong experties in machine learning, deep learning algorithms. Good understanding of GenAI, LLMs, Agentic frameworks. Ability to develope production ready applications. Should have a research, experimentative mindset Understanding of clinical domain will be a plus Good to Have: 1. Anomaly detection 2. Security Domain

Must Have: 1.Machine Learning - Supervised and unsupervised learning 2. Python - NumPy, Pandas 3. Statistical analytics 4. Keras, Tensors, Pytorch 5. SQL Job Description : Strong python experties, strong experties in machine learning, deep learning algorithms. Good understanding of GenAI, LLMs, Agentic frameworks. Ability to develope production ready applications. Should have a research, experimentative mindset Understanding of clinical domain will be a plus Good to Have: 1. Anomaly detection 2. Security Domain

Primary Responsibilities: Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML t...

LTIMindtree hiring for Generative AI Engineer . Exp-7 to 12yrs Notice period-immediate to 30 days only Location- PAN India(Any ltimindtree ) Mandatory skills- Must have worked in at least 12 GenAI customer project or PoC with a recent LLM model If interested Share me these details along with cv in my email - Richa.Srivastava@ltimindtree.com Total Experience in Generative AI- Relevant exp.in Python and LLM - Current CTC- Expected CTC- Holding offers if any- Current Location- Preferred Location- Notice period- Skills- Current Company- Date of Birth- Pan no- Share your passport size photo- Available for Virtual interview on Saturday -13-dec-25(Mention date & Time)- Job Description - Sr AI Engin...

If Interested, Kindly share your resume at deepshikha@symbiosisindia.net; tanuja@symbiosisindia.net * Edge AI Specialist with strong experience in designing, training, and deploying AI/ML models on edge hardware. The ideal candidate must have worked on Qualcomm / NVIDIA edge platforms and be hands-on in optimizing models for real-time performance in resource-constrained environments. Role & responsibilities Job Description: An Edge AI Specialist is responsible for designing, developing, and optimizing AI models and systems to operate efficiently on edge devices. This role combines expertise in artificial intelligence, machine learning, and edge computing to deploy intelligent solutions in lo...

Key Responsibilities: Architect and lead the development of scalable AI/ML solutions across diverse domains.Design and implement systems leveraging Large Language Models (LLMs) and Agentic AI principles. Collaborate with QE teams to integrate AI into testing frameworks and CI/CD pipelines. Evaluate and implement AI services using Azure OpenAI, Google Cloud (GHCP), and other cloud platforms. Guide the development and deployment of machine learning models using best practices in MLOps. Mentor data scientists and engineers, and lead cross-functional AI initiatives. Ensure AI solutions are ethical, explainable, and aligned with business goals. Required Skills & Qualifications: 10+ years of exper...

Design, develop, and test mechatronic systems, including hardware and software components. Collaborate with cross-functional teams to identify project requirements and develop solutions. Develop and implement algorithms for real-time control systems. Troubleshoot and debug issues with existing systems. Conduct research and stay updated on the latest advancements in mechatronics. Provide technical support and guidance to junior engineers. Job Requirements Bachelor's degree in Robotics, Computer Science, Mechanical Engineering, or a related field. Minimum 8 years of experience in mechatronics, robotics, or a related field. Strong programming skills in C++, Python, and MATLAB. Experience with r...

We are looking for a skilled Senior AI Engineer with 8 to 13 years of experience in building production-grade AI or search systems, including hands-on experience with RAG. The ideal candidate will have expertise in Python/PySpark and respective frameworks, with a proven track record of tuning LLM prompts, embeddings, and fine-tuning loops to maximize results relevance and recall. Roles and Responsibility Own end-to-end RAG solutions, including orchestrating chunking, embedding, ranking, prompting, and answer synthesis for production-grade GenAI assistants. Measure key performance indicators such as precision, recall, latency, and user adoption. Collaborate with engineers, UI/UX, and business...

Overview The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML and GenAI solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks along with LLM frameworks like LangChain / LlamaIndex, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Machine Learning Services and Pipelines. Responsibilities Understand the existing Proof of concepts that were built to showcase capability of LLMs to deliver the accurate response to any natural...

What you can look forward to as Senior Data Scientist -AI/ML (m/f/d): Conduct cutting-edge research to identify and develop novel AI/ML methodologies, including Deep Learning (DL) and Reinforcement Learning (RL). Design and conduct experiments to test hypotheses, validate new approaches, and compare the effectiveness of different ML algorithms. Analyze data to uncover hidden patterns and relationships that can inform the development of new AI techniques. Stay at the forefront of the field by keeping abreast of the latest advancements in algorithms, tools, and theoretical frameworks. This might involve researching areas like interpretability of machine learning models or efficient training me...