1616 Deep Learning Jobs - Page 49

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools and Cloud AI services. You will create cloud or on-prem application pipelines with production-ready quality, applying GenAI models and technologies like deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Develop applications and systems utilizing AI tools and Cloud AI services.- Create cloud or on-prem application pipelines with production-ready quality.- Apply GenAI models as part of the solution.- Implement deep learning and neural networks technologies.- Design and develop chatbots and image processing solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address complex challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud-based AI services and their integration.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : cucumber, eclipseMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying innovative approaches to solve complex problems and enhance system capabilities. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Evaluate and recommend new tools and technologies to improve team efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud-based AI services and their integration.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : SAP HCI - Middle Ware RoleMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud-based AI services and their integration.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various technologies, including deep learning, neural networks, and image processing, while also exploring the integration of generative AI models into your projects. Collaboration with team members and stakeholders will be essential as you contribute to innovative solutions that address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.- Conduct research and stay updated on the latest advancements in AI and machine learning technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Good To Have Skills: Experience with machine learning frameworks such as TensorFlow or PyTorch.- Strong understanding of data preprocessing techniques and feature engineering.- Experience in deploying machine learning models in cloud environments.- Familiarity with programming languages such as Python or R. Additional Information:- The candidate should have minimum 3 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Engineer, you will assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Develop and implement responsible AI frameworks.- Conduct audits and assessments of AI systems for ethical compliance.- Collaborate with cross-functional teams to ensure responsible AI practices are integrated. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 15 years of experience in Responsible AI.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead research and development efforts in AI/ML technologies.- Implement and optimize machine learning models.- Conduct data analysis and interpretation for AI applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 12 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Engineer, you will assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Develop and implement responsible AI frameworks.- Conduct audits and assessments of AI systems for ethical compliance.- Collaborate with cross-functional teams to ensure responsible AI practices are integrated. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 15 years of experience in Responsible AI.- This position is based at our Pune office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to deliver innovative solutions that address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing AI models and systems. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP).- Strong understanding of machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or Java.- Knowledge of data preprocessing techniques and tools. Additional Information:- The candidate should have minimum 5 years of experience in Natural Language Processing (NLP).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role We are seeking an innovative Data Scientist specializing in Natural Language Processing (NLP) to join our technology team in Bangalore The ideal candidate will harness the power of language models and document extraction techniques to transform legal information into accessible, actionable insights for our clients. Responsibilities Develop and implement NLP solutions to automate legal document analysis and extraction Create and optimize prompt engineering strategies for large language models Design search functionality leveraging semantic understanding of legal documents Build document extraction pipelines to process unstructured legal text data Develop data visualizations using PowerBI and Tableau to communicate insights Collaborate with product and legal teams to enhance our tech-enabled services Continuously improve model performance and user experience. Requirements Bachelor's degree in relevant field 1-5 years of professional experience in data science, with focus on NLP applications Demonstrated experience working with LLM APIs (e.g., OpenAI, Anthropic, ) Proficiency in prompt engineering and optimization techniques Experience with document extraction and information retrieval systems Strong skills in data visualization tools, particularly PowerBI and Tableau Excellent programming skills in Python and familiarity with NLP libraries Strong understanding of legal terminology and document structures (preferred) Excellent communication skills in English What We Offer Competitive salary and benefits package Opportunity to work at India's largest legal tech company Professional growth in the fast-evolving legal technology sector Collaborative work environment with industry experts Flexible work arrangements Qualified candidates are encouraged to apply with a resume highlighting relevant experience with NLP, prompt engineering, and data visualization tools. Skills:PowerBI, Tableau and Natural Language Processing (NLP)

Location: Gurugram (Work from Office) Stipend: Competitive (Based on Skills & Experience) Duration: Internship (with potential for full-time opportunity) Job Overview Registerkaro is looking for a highly motivated Artificial Intelligence Intern to join our AI research and development team The ideal candidate should have hands-on experience with Retrieval-Augmented Generation (RAG), Agentic AI agents, and fine-tuning Large Language Models (LLMs) This role offers a unique opportunity to work on cutting-edge AI solutions, applying advanced machine learning techniques to real-world business problems. Key Responsibilities Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance the performance of AI models. Work on Agentic AI agents to build autonomous, goal-driven AI applications. Fine-tune and optimize Large Language Models (LLMs) such as GPT, LLaMA, Falcon, or Mistral to align with specific business use cases. Implement and improve prompt engineering techniques to enhance LLM performance. Develop APIs and integrate AI models into business applications. Research and apply machine learning techniques to improve model efficiency and scalability. Conduct model evaluation, performance analysis, and debugging for AI-driven solutions. Collaborate with cross-functional teams to integrate AI models into production environments. Stay updated with the latest advancements in AI, NLP, and deep learning. Required Skills & Qualifications Strong knowledge of Machine Learning (ML), Deep Learning, and Natural Language Processing (NLP). Hands-on experience with RAG frameworks and retrieval-based AI models. Experience working with Agentic AI architectures and multi-agent systems. Proficiency in fine-tuning LLMs (e.g., GPT, LLaMA, Falcon) using Hugging Face, PyTorch, or TensorFlow. Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate) for optimizing AI retrieval mechanisms. Proficiency in Python and frameworks like LangChain, LlamaIndex, OpenAI API, or Cohere. Basic knowledge of cloud platforms (AWS, Azure, GCP) and AI model deployment. Experience with ML frameworks such as Hugging Face Transformers, TensorFlow, PyTorch. Strong problem-solving, analytical, and research skills. Preferred (Not Mandatory): Experience with Docker, Kubernetes, or CI/CD pipelines for deploying AI models. Familiarity with graph-based AI search and multimodal AI models. Exposure to Reinforcement Learning with Human Feedback (RLHF). Why Join Us? Work on real-world AI applications in a fast-growing startup. Gain hands-on experience with state-of-the-art AI models and tools. Collaborate with AI researchers and expert team. Potential for a full-time role based on performance. If you're passionate about AI and eager to work on cutting-edge projects, apply now!

We are seeking a creative and experienced Machine Learning Engineer to join our dynamic team The ideal candidate will have a strong background in developing and deploying NLP and computer vision models, deep learning, and API creation You will be responsible for innovating and exploring new models to accomplish complex tasks and improve our product offerings. Design, develop, and deploy machine learning models with a focus on Natural Language Processing (NLP) and Computer Vision. Perform data labelling and preprocessing to prepare datasets for training. Select appropriate deep learning models and algorithms to solve specific problems. Train, fine-tune, and validate models to achieve high accuracy and performance. Build APIs for integrating machine learning models into existing applications. Continuously explore and evaluate new machine learning techniques and models to enhance our capabilities. Collaborate with cross-functional teams to understand business needs and provide AI-driven solutions. Document and present model development processes, results, and insights to stakeholders. Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Proven experience in developing and deploying machine learning models, particularly in NLP and Computer Vision. 3 or 3+ years of experience in Artificial Intelligence and Machine Learning. Proficiency in programming languages such as Python, and experience with machine learning libraries/frameworks like TensorFlow, PyTorch, and scikit-learn. Strong understanding of deep learning techniques and algorithms. Experience with data preprocessing and data labelling. Ability to build and deploy APIs for machine learning models. Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work well in a team environment Experience with cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with big data technologies like Hadoop or Spark. Knowledge of additional programming languages such as R, Java, or C++. Understanding of MLOps and model deployment pipelines.

We're seeking an experienced engineer with expertise in computer vision, deep learning, and AI to drive impactful solutions. Key Responsibilities Algorithm Development : Design and optimize computer vision and deep learning algorithms for 3D applications. Model Deployment : Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment on edge devices after optimization to meet customer requirements Research and Innovation : Prototype new solutions based on the latest advancements in AI, machine learning, and computer vision. Cross-Functional Collaboration : Integrate algorithms into 3D rendering systems and work closely with the team to meet project goals Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints Documentation : Maintain code quality and document solutions for easy reference. Qualifications Experience : 3 or 3+ years in computer vision, deep learning, and AI. Education : Bachelor's or Master's in Computer Science, Data Science, Electrical Engineering, or related field. Technical Skills Proficiency in C, C++, OpenGL, Objective C, Swift, Python, PyTorch, TensorFlow, and OpenCV. Understanding about depth and breadth of computer vision and deep learning algorithms. Knowledge of algorithms and data structures relevant to computer vision. Hands-on experience with NVIDIA platforms IGX, Jetson, or Xavier (Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit) Concepts of parallel architecture on GPU is an added advantage. Knowledge in linear algebra, calculus, and statistics Preferred : Knowledge of AR/VR, 3D vision, and AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes)

Role: Gen AI Engineer Exp: 5 to 8 yrs. Loc: Bangalore, Pune, Hyderabad NP: Immediate joiners, who can join in 30 days. Required Skills: Python, Large Language Models (LLM), Machine Learning (ML), Generative AI

Role –AIML Gen AI Engineer Location: Chennai/ Bangalore/ Hyderabad Experience: 5+ 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 with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

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

Good Programming Knowledge - Python, C++ Python Libraries -Numpy, Pandas DL framework - Pytorch, Keras Tensorflow, Scikit Learn AI Concepts - Strong fundamentals & working experience in o Machine Learning (ML) o Deep Learning (DL) o Model Tuning, Optimization & Verification o Transfer Learning Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, backpropagation, and optimizers. Tools Git Docker Collaboration tools (Ex. Confluence, Jira) Data analyst & Software Specialist Understand LG device data, pre-sales, post-sales data Derive insights Large Scale Data (Time series) Pre-processing & Analytics (w/ On-premise CPU&GPU server) Statistical Reasoning ML/DL (Fault Diagnosis, Energy), Parameter Tuning and Optimization Domain Specific Strong fundamentals & working experience in Exploratory Data Analysis (EDA) Remaining Useful Life Prediction Anomaly detection Regression problem solving Experience in Cloud Developer toolchains (AWS or MS Azure) Software development kit Data storage options, connections Compute/container deployment Debugging ETL process Mandatory Key Skills Python,C++,Numpy,Pandas,Machine Learning,Deep Learning,Tensorflow,Pytorch,Model Tuning,Docker,Git,ETL,AI- Vision*

FarmwiseAI is an AgriTech company leveraging AI-driven solutions to optimize farm management, empowering farmers with data-driven insights for sustainable agriculture. We seek a Senior Data Scientist to drive AI/ML initiatives, collaborating with cross-functional teams to develop AI-powered solutions. Responsibilities include developing and optimizing ML models for predictive analytics and image processing, working with large agricultural datasets such as satellite and drone data, deploying models into production, ensuring scalability, staying updated on AI/ML advancements, and mentoring junior team members. Candidates should have a Masters or PhD in Data Science, Computer Science, or a related field, with 5+ years of experience in AI/ML and at least 2 years in a leadership role. Technical skills required include Python, TensorFlow, PyTorch, Scikit-Learn, and experience with cloud platforms (AWS/GCP/Azure), with GIS knowledge being a plus. Strong problem-solving, communication, and leadership skills are essential.

What you'll be doing As a Engineer 3 - Specialist (AI Science) you will own and perform specific analytics tasks and lead and drive end to end solutions for AI/ML use cases with guidance from lead / manager. Building and deploying Statistical/Machine Learning/Deep Learning based models according to business requirements Contributing to model design including algorithm selection, feature requirements, model and use case validation Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling. Performing tasks related to Operationalization - eg. wrapper script, REST service, Trigger, Monitoring etc. Preparing all the supporting documents and reports. Guiding other members in the team on technical aspects as needed. What were looking for: You have strong analytical and coding skills, and are eager to work in a collaborative environment with global teams to drive ML application in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science driven business solutions. You'll need to have: Bachelor's degree or four or more years of work experience. Four or more years of relevant work experience. Experience in multi-modal modeling, including experience with frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in machine learning, deep learning, and statistical modeling techniques. Solid programming skills in Python or other relevant languages. Experience with natural language processing, computer vision, or audio processing is highly desirable. Familiarity with cognitive AI techniques, such as reasoning, knowledge graphs, or symbolic reasoning, is a plus. Proven track record of designing and implementing successful multi-modal models and algorithms, demonstrated through publications, projects, or industry experience. Even better if you have one or more of the following: Advanced degree in Computer Science, Data Science, Machine Learning, or a related field. Experience working on cloud platforms like GCP Experience in building AI models for telecom businesses Strong problem-solving skills and ability to work on complex, open-ended research problems. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Self-motivated, proactive, and able to manage multiple tasks and priorities in a fast-paced environment.

What you'll be doing As a Engineer 3 - Specialist (AI Science) you will own and perform specific analytics tasks and lead and drive end to end solutions for AI/ML use cases with guidance from lead / manager. Building and deploying Statistical/Machine Learning/Deep Learning based models according to business requirements Contributing to model design including algorithm selection, feature requirements, model and use case validation Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling. Performing tasks related to Operationalization - eg. wrapper script, REST service, Trigger, Monitoring etc. Preparing all the supporting documents and reports. Guiding other members in the team on technical aspects as needed. What were looking for: You have strong analytical and coding skills, and are eager to work in a collaborative environment with global teams to drive ML application in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science driven business solutions. You'll need to have: Bachelor's degree or four or more years of work experience. Four or more years of relevant work experience. Experience in multi-modal modeling, including experience with frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in machine learning, deep learning, and statistical modeling techniques. Solid programming skills in Python or other relevant languages. Experience with natural language processing, computer vision, or audio processing is highly desirable. Familiarity with cognitive AI techniques, such as reasoning, knowledge graphs, or symbolic reasoning, is a plus. Proven track record of designing and implementing successful multi-modal models and algorithms, demonstrated through publications, projects, or industry experience. Even better if you have one or more of the following: Advanced degree in Computer Science, Data Science, Machine Learning, or a related field. Experience working on cloud platforms like GCP Experience in building AI models for telecom businesses Strong problem-solving skills and ability to work on complex, open-ended research problems. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Self-motivated, proactive, and able to manage multiple tasks and priorities in a fast-paced environment.

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Full Stack Data Scientist In this role, the person is responsible for transforming business requirements into valuable insights that drive decision-making in organizations. He/She is expected to handle the entire data science process, from data collection to model deployment and maintenance. Responsibilities: Experience in Large Language Models (LLMs) with deep dive into Generative AI applications using Python to optimize platform functionalities Good exposure with implementing robust CI/CD automation and orchestration using tools like Azure DevOps Research and implement appropriate AI/ML algorithms and tools for developing machine learning applications to requirements Design and implementation of the overall web architecture with real time exposure of developing REST APIs Good command for designing and building the entire stack for speed and scalability Good exposure for building models, algorithms, simulations and performance evaluation by writing highly optimized, deployable code using AI-ML technologies Exposure with building solutions for data discovery, data acquisition, data processing cleaning, data integration, data interpretation Define and manage the process of production using machine learning models through MLOps pipelines for development, continuous integration, continuous delivery, verification, validation, and monitoring of AI/ML models Involve with stakeholders to analyse for solving business problems using Machine learning/ Artificial Intelligence solutions for deployment on a cloud platform Alignment with industry trends, innovations and developments in AI/ML and work with other ML teams to pilot new advances and keep the organisation future-ready Understanding customer pain points, business requirements and developing models that help to achieve them, along with metrics to track their progress Commanding exposure with scope, define, and deliver AI-based data products covering data analysis, visualization, storytelling and data technologies Perfectly collaboration of product, data science, and other stakeholders to translate business needs into powerful technical solutions Requirements Bachelor's degree in computer science, Engineering, Mathematics, Statistics or a related field Significant good exposure in Python/R with at least 5+ years of experience developing and deploying ML and DL models Familiarity with algorithms both in supervised and un-supervised learning Should have significant command of Generative AI, Microsoft OpenAI platform (Azure OpenAI), GPTs, LLMs concepts and techniques with solid hands-on experience Exposure at implementing CI/CD pipelines to streamline development and deployment Expertise with hands on experience in Vector Databases for semantic search, Advanced RAG approaches for LLM models Very Good experience in Machine Learning, Deep Learning, Computer Vision, NLP with model architecture Expertise in effectively building and deploying ML systems using frameworks such as PyTorch, TensorFlow, Keras, sklearn etc Exposure in modular, typed, and object-oriented Python programming Familiar with the core data science languages (such as Python, R, Scala) and with data systems (e.g.SQL, NoSQL) Excellent communication skills with a desire to work in multidisciplinary teams Expert for analysing the errors of the model and designing strategies to overcome them Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Engineer ML About the role The mission of the team is to transform terabytes of data into robust models for improving Network Experience and Customer Experience and reducing Operational Expenditure. Candidate will be required to understand the different Datasets being supplied from different sources and design a production grade big data architecture for Reporting and Analytics Platform. He will be involved in developing in-house algorithms as per Business Requirements. He will also be involved in vendor reviews of solution designs and related code on the principle of adherence to high-quality development principles while delivering solutions on time and on budget. Key Responsibilities Develop best quality software design and Big Data architecture for a Product that is being migrated to Big Data Platform from MYSQL based architecture. This product is spread across dimensions of big data, analytics, machine learning, graph problems, etc. The person is responsible to design and develop systems that use machine learning, or AI, to build models that can automate processes. They use data to create models, perform statistical analysis, and train systems to improve performance. Identify, prioritize and execute tasks in the software development life cycle. Develop tools and applications by producing clean, efficient code, automate tasks through appropriate tools and scripting. Review and debug code and perform validation and verification testing Collaborate with internal teams and external vendors to fix and improve current Architecture that helps to improve software development process and team productivity. Document development phases and monitor systems. Guide daily DevOps and ensure timely hardware expansions or architecture revamp. Provide statistical analysis to develop, test, and optimize databases to their full potential. Ensure software is up-to-date with latest technologies. Review Vendor Codes and solution designs for on-time deployment. Experience & Skills Must have experience in Machine Learning and experience in machine learning frameworks like TensorFlow or PyTorch. Knowledge of selected programming languages (e.g. Python, JAVA, Scala Python, C++) In-depth knowledge of relational databases (e.g. PostgreSQL, MySQL) and NoSQL databases (e.g. MongoDB or Hadoop) Hands-on experience working with Big Data technologies like Hadoop, MongodB, Hive, Pig, Oozie, Map Reduce, Spark, Sqoop, Kafka, Flume, etc. Extensive experience in software design, development and scripting. Experience with real-time streaming tools like Apache Kafka and NiFi is a plus. Has hands-on experience working with large volumes of data including different patterns of data ingestion, processing (batch & real-time), movement, storage and access (for both internal and external to BU) and is able to make independent decisions within scope of project. ( Spark, Kafka, Kstream/Flink) Very strong analytical skills with the demonstrated ability to research & make decisions based on the day-to-day and complex customer problems Understanding of HTTP and RESTful web services is a plus Experience with version control tools (SVN or Git). Educational Qualifications: Bachelor's or Master's Degree in Computer Science or related field; or equivalent related professional experience Work Experience: 1-7 years of total experience preferably in Big Data