5480 Deep Learning Jobs - Page 9

Your Role Experience with Natural Language Processing (NLP). Understanding of RAG, neural networks, and other AI/ML concepts. Experience with AI/ML frameworks like TensorFlow, PyTorch, etc. Experience with AI and Machine Learning algorithms. Your Profile 5 to 14 yrs of experience with Gen AI and Machine Learning algorithms. Experience with Natural Language Processing (NLP). Familiarity with AI platforms and understanding of their capabilities and limitations. Ability to design & implement AI models. What youll love about working here We recognize the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programmes in the latest technologies such as Gen AI

About The Role This role involves the development and application of engineering practice and knowledge in designing, managing and improving the processes for Industrial operations, including procurement, supply chain and facilities engineering and maintenance of the facilities. Project and change management of industrial transformations are also included in this role. About The Role - Grade Specific Focus on Industrial Operations Engineering. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

About The Opportunity : A fast-scaling technology company operating in the Enterprise AI / Generative AI sector, building production-grade LLM-driven products and intelligent automation for global clients. We deliver secure, low-latency generative systems that power conversational AI, summarization, code generation, and retrieval-augmented applications across cloud-native environments. We are hiring a Senior Generative AI Engineer (7+ years) to own architecture, model development, and production deployment of advanced generative systems. This is a fully remote role for candidates based in India. Role & Responsibilities : - Lead end-to-end design and delivery of Generative AI/LLM solutionsdata ingestion, pre-processing, model training/fine-tuning, evaluation, and scalable inference. - Develop and productionize transformer-based models (instruction-tuning, LoRA, quantization) using PyTorch/TensorFlow and Hugging Face tooling. - Architect and implement RAG pipelines integrating vector databases (FAISS/Milvus/Chroma), dense / sparse retrieval, and scalable embedding workflows. - Optimize inference throughput and latency using ONNX/TorchScript/TensorRT, autoscaling, and cost-efficient deployment patterns on cloud infra. - Define MLOps best practices : CI/CD for models, containerization, observability, automated retraining, drift detection and rollout strategies. - Mentor engineers, conduct code reviews, and collaborate with product & data science to translate research into reliable production systems. Skills & Qualifications : Must-Have : - 7+ years software/ML engineering experience with significant time on generative/LLM projects. - Strong proficiency in Python and deep learning frameworks (PyTorch preferred; TensorFlow acceptable). - Hands-on experience with Hugging Face Transformers, tokenizers, training and fine-tuning workflows. - Proven experience building RAG systems and working with vector stores (FAISS, Milvus, Chroma) and embedding pipelines. - Experience deploying models to production using Docker, Kubernetes, and cloud services (AWS/GCP/Azure). - Solid software engineering practices : unit testing, CI/CD, code reviews, and monitoring for ML systems. Preferred : - Experience with model compression/acceleration (quantization, distillation), ONNX, or TensorRT. - Familiarity with LangChain or similar orchestration frameworks, agentic workflows, and tool-calling patterns. - Background in prompt engineering, instruction tuning, Reinforcement Learning from Human Feedback (RLHF) exposure. - Knowledge of data privacy, secure model serving, and compliance controls for enterprise deployments. Benefits & Culture Highlights : - Fully remote, India-based role with flexible hours and a results-oriented culture. - Opportunity to shape product architecture and scale cutting-edge generative AI for enterprise customers. - Collaborative environment with senior ML engineers, data scientists, and product stakeholdersmentorship and career growth. To apply, you should be passionate about bringing advanced generative models into production, comfortable with both research-to-production translation and the operational discipline required to run mission-critical AI systems.

Role & responsibilities : 1.Design and implement anomaly detection models using statistical and unsupervised learning techniques. 2.Optimize AI models for edge devices. 3.Work with time-series and sensor data, applying appropriate preprocessing, noise reduction, and feature extraction techniques. 4.Utilize deep learning architecture such as CNNs, RNNs, LSTM, GRU, and GANs. 5.Perform model evaluation, optimization, cross-validation, and hyperparameter tuning. 6.Visualize and analyze datasets using Python tools like Pandas, Matplotlib, and Seaborn. 7.Collaborate with cross-functional teams to translate business needs into AI-powered solutions. Good to have: 1.Sensor data processing (noise reduction, feature extraction, preprocessing techniques). 2.Gen AI and applying RAG technique would be added value. Interested candidate kindly share me your updated CV at jeeva@bvrpc.com

About the Role We are hiring a results-oriented Senior Machine Learning Engineer to join our growing team in Pune on a hybrid schedule. Reporting to the Director of Machine Learning, you will partner with Product and Engineering teams to both solve problems and identify new opportunities for the business. The ideal candidate will apply quantitative analysis, modeling, and data mining to help drive informed product decisions for PubMatic + get things done. What You'll Do Perform deep dive analysis to understand and optimize the key product KPIs. Apply statistics, modeling, and machine learning to improve the efficiency of systems and relevance algorithms across our business application products. Conduct data analysis to make product recommendations and design A/B experiments. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. We'd Love for You to Have Five plus years of hands-on experience designing Machine Learning models to solve business problems with statistical packages, such as R, MATLAB, Python (NumPy, Scikit-learn + Pandas) or MLlib. Experience with articulating product questions and using statistics to arrive at an answer. Experience with scripting in SQL - extracting large data sets and designing ETL flows. Work experience in an inter-disciplinary/cross-functional field. Deep interest and aptitude in data, metrics, analysis, and trends, and applied knowledge of measurement, statistics, and program evaluation. Distinctive problem-solving skills and impeccable business judgment. Capable of translating analysis results into business recommendations. Qualifications: Should have a bachelor’s degree in engineering (CS / IT) or equivalent degree from well-known Institutes / Universities. Additional Information: Return to Office : PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions. Benefits: Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more!. Diversity and Inclusion : PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status About PubMatic PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.

Skills: 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge Skills : - LLM/ML ,application development, Data Handling,Data processing,Data engineering,Dataset creation, LLM performance metrics, fine-tuning, prompt engineering, Image/Video Processing, Generative AI, OpenAI, Claude, Prompt Engineering, autogen, agentic framework Mandatory Key Skills application development,machine learning,python,deep learning,natural language processing,computer vision,neural networks,opencv,image processing,pattern recognition,data science,imaging*,video processing*,ml*,artificial intelligence*,data engineering*

About the Role We are hiring a results-oriented Principal Machine Learning Engineer to join our growing team in Pune on a hybrid schedule. Reporting to the Director of Machine Learning, you will partner with Product and Engineering teams to both solve problems and identify new opportunities for the business. The ideal candidate will apply quantitative analysis, modeling, and data mining to help drive informed product decisions for PubMatic + get things done. What You'll Do Perform deep dive analysis to understand and optimize the key product KPIs. Apply statistics, modeling, and machine learning to improve the efficiency of systems and relevance algorithms across our business application products. Conduct data analysis to make product recommendations and design A/B experiments. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations. We'd Love for You to Have Seven plus years of hands-on experience designing Machine Learning models to solve business problems with statistical packages, such as R, MATLAB, Python (NumPy, Scikit-learn + Pandas) or MLlib. Proven ability to inspire, mentor, and develop team members to deliver value consistently. Experience with articulating product questions and using statistics to arrive at an answer. Experience with scripting in SQL - extracting large data sets and designing ETL flows. Work experience in an inter-disciplinary/cross-functional field. Deep interest and aptitude in data, metrics, analysis, and trends, and applied knowledge of measurement, statistics, and program evaluation. Distinctive problem-solving skills and impeccable business judgment. Capable of translating analysis results into business recommendations. Qualifications: Should have a bachelor’s degree in engineering (CS / IT) or equivalent degree from well-known Institutes / Universities. Additional Information: Return to Office : PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions. Benefits: Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more! Diversity and Inclusion : PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status About PubMatic PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.

AI/ML Intern Role & Responsibilities We are looking for a motivated AI/ML Intern with a strong foundation in Machine Learning and Deep Learning . The role is ideal for students passionate about Artificial Intelligence and eager to gain real-world project experience. Key Responsibilities: Work on hands-on AI/ML projects under the guidance of senior mentors. Implement and experiment with Python, Scikit-Learn, PyTorch, TensorFlow, and ML frameworks . Support in building, training, and evaluating machine learning models. Document project progress and research findings. Collaborate with the team to explore and implement innovative AI solutions. Preferred Candidate Profile Educational Qualification : Completed B.Sc, B.Com, B.Tech, M.Sc, M.Tech, MBA, or equivalent degree with interest in AI/ML. preferred candidates from Hyderabad Graduation Year : Preference for candidates from 2022 , 2023 and 2024 passed out batches. Technical Skills : Proficiency in Python programming . Knowledge of ML/DL frameworks such as Scikit-Learn, PyTorch, and TensorFlow. Understanding of data preprocessing, model training, and evaluation techniques. Other Qualities : Strong eagerness to learn and grow in AI/ML. Problem-solving mindset with good analytical skills. Ability to work independently as well as in a team. -

We are seeking an experienced AI Lead with a minimum of 10 years of industry experience in the field of Artificial Intelligence. The ideal candidate will have a proven track record of successfully leading and delivering multiple projects in Machine Learning, Deep Learning, and Natural Language Processing (NLP). Additionally, they should possess sound knowledge in Generative AI and Large Language Models (LLMs). Responsibilities: Project Leadership: Lead end-to-end AI projects, from conception to delivery, ensuring alignment with business objectives and stakeholder requirements. Technical Expertise: Serve as a subject matter expert in AI, providing guidance and support to the team in the development and implementation of advanced machine learning and deep learning models. Research and Development: Stay abreast of the latest advancements in AI technologies and methodologies, conducting research and experiments to drive innovation and enhance project outcomes. Team Management: Manage and mentor a team of junior data scientists and machine learning engineers, providing technical guidance, coaching, and professional development opportunities. Collaboration: Collaborate closely with cross-functional teams, including product management, engineering, and business development, to identify opportunities for leveraging AI to solve business challenges and drive growth. Quality Assurance: Ensure the quality and accuracy of AI solutions through rigorous testing, validation, and performance monitoring. Strategic Planning: Contribute to the development of AI strategies and roadmaps, outlining key initiatives and milestones to support business objectives. Qualifications: Bachelors degree in computer science, Engineering, Mathematics, or related field. Advanced degree (Master's or Ph.D.) preferred. Minimum of 10 years of industry experience in artificial intelligence, with a focus on machine learning, deep learning, and NLP. Proven track record of leading and delivering multiple AI projects from conception to completion. Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Expertise in MLOps tools, Databricks, and AI services offered by cloud platforms such as Azure, AWS, and GCP. Experience with Generative AI and Large Language Models (LLMs) such as GPT, BERT, or Transformer models. Excellent leadership and communication skills, with the ability to effectively manage and mentor a team of junior data scientists and ML engineers. Strong analytical and problem-solving skills, with a keen attention to detail and a commitment to delivering high-quality results. Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements. Location - Noida,Mumbai,Hyderabad,Kochi. Mandatory Key Skills pytorch,deep learning,natural language processing,scikit-learn,microsoft azure,aws,gcp,team management,python,sql,data science,numpy,pandas,machine learning algorithms*,data bricks*,artificial intelligence*,machine learning*,tensorflow*

Mandatory Skills: 1. 5+ Years of experience in the design & development of state-of-the-art language models; utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. 2. Deep understanding of language models and a strong proficiency in designing and implementing RAG-based workflows to enhance content generation and information retrieval. 3. Experience in building, customizing and fine-tuning LLMs via OpenAI studio extended through Azure OpenAI cognitive services for rapid PoCs 4. Proven track record of successfully deploying and optimizing LLM models in the cloud (AWS, Azure, or GCP) for inference in production environments and proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. 5. Apply prompt engineering techniques to design refined and contextually relevant prompts for language models. 6. Monitor and analyze the performance of LLMs by experimenting with various prompts, evaluating results, and refining strategies accordingly. 7. Building customizable, conversable AI agents for complex tasks using CrewAI and LangGraph to enhance Gen AI solutions 8. Proficient in MCP (Model Context Protocol) for optimizing context-aware AI model performance and integration is a plus Location - Mumbai , Pune, Bangalore, Chennai and Noida Mandatory Key Skills Model Context Protocol,AWS,Azure,GCP,LLM models,OpenAI studio,CrewAI,LangGraph,Gen AI*

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) Build Audio ML/DL models for given requirement Build models from scratch wherever required Must be able to code relevant research papers independently Tune to improve accuracy and latency Support to satisfy the deployment requirements of the product Apply transfer learning wherever required Must have skills Audio AI Modelling and tuning experience Audio AI concepts, ML/DL working experience in Pytorch/Tensorflow framework. Variations of CNN, Auto Encoders Proficiency in machine learning/audio preprocessing libraries/frameworks such as Librosa, Kaldi, sklearn, python speech features. Signal Processing fundamentals Experience in Acoustic models for speech recognition systems. Good to have Audio AI Audio related certification Tools for creating Synthetic data Experience working in Edge devices Mandatory Key Skills tensorflow,scikit-learn,numpy,pandas,jira,confluence,cnn,git,docker,c++,natural language processing,sql,data science,artificial intelligence,neural networks,computer vision,predictive modeling,machine learning*,deep learning*,python*,keras*,pytorch*

About The Opportunity : A fast-scaling technology company operating in the Enterprise AI / Generative AI sector, building production-grade LLM-driven products and intelligent automation for global clients. We deliver secure, low-latency generative systems that power conversational AI, summarization, code generation, and retrieval-augmented applications across cloud-native environments. We are hiring a Senior Generative AI Engineer (7+ years) to own architecture, model development, and production deployment of advanced generative systems. This is a fully remote role for candidates based in India. Role & Responsibilities : - Lead end-to-end design and delivery of Generative AI/LLM solutionsdata ingestion, pre-processing, model training/fine-tuning, evaluation, and scalable inference. - Develop and productionize transformer-based models (instruction-tuning, LoRA, quantization) using PyTorch/TensorFlow and Hugging Face tooling. - Architect and implement RAG pipelines integrating vector databases (FAISS/Milvus/Chroma), dense / sparse retrieval, and scalable embedding workflows. - Optimize inference throughput and latency using ONNX/TorchScript/TensorRT, autoscaling, and cost-efficient deployment patterns on cloud infra. - Define MLOps best practices : CI/CD for models, containerization, observability, automated retraining, drift detection and rollout strategies. - Mentor engineers, conduct code reviews, and collaborate with product & data science to translate research into reliable production systems. Skills & Qualifications : Must-Have : - 7+ years software/ML engineering experience with significant time on generative/LLM projects. - Strong proficiency in Python and deep learning frameworks (PyTorch preferred; TensorFlow acceptable). - Hands-on experience with Hugging Face Transformers, tokenizers, training and fine-tuning workflows. - Proven experience building RAG systems and working with vector stores (FAISS, Milvus, Chroma) and embedding pipelines. - Experience deploying models to production using Docker, Kubernetes, and cloud services (AWS/GCP/Azure). - Solid software engineering practices : unit testing, CI/CD, code reviews, and monitoring for ML systems. Preferred : - Experience with model compression/acceleration (quantization, distillation), ONNX, or TensorRT. - Familiarity with LangChain or similar orchestration frameworks, agentic workflows, and tool-calling patterns. - Background in prompt engineering, instruction tuning, Reinforcement Learning from Human Feedback (RLHF) exposure. - Knowledge of data privacy, secure model serving, and compliance controls for enterprise deployments. Benefits & Culture Highlights : - Fully remote, India-based role with flexible hours and a results-oriented culture. - Opportunity to shape product architecture and scale cutting-edge generative AI for enterprise customers. - Collaborative environment with senior ML engineers, data scientists, and product stakeholdersmentorship and career growth. To apply, you should be passionate about bringing advanced generative models into production, comfortable with both research-to-production translation and the operational discipline required to run mission-critical AI systems.

AI/ML Engineer with expertise in Google LLMs, prompt design, fine-tuning, RLHF, and A2A orchestration. Experience Level: 8 + years Responsibilities: Design and optimize prompt engineering strategies. Fine-tune LLMs using domain-specific datasets. Apply RLHF to improve agent decision-making. Implement agents using Vertex AI, PaLM, Gemini. Collaborate on agent architecture and evaluation. Use MCP to standardize agent interaction. Proficient in Python, TensorFlow, JAXRLHF, PyTorch. Hands-on with Vertex AI, Gemini, AutoML. Knowledge of transformers, LoRA, quantization, PEFT. Experience with ADK, A2A, MCP protocols. Prompt tuning and chain-of-thought expertise.

helps employees unleash their potential while creating value for themselves and the company. Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.

Role & Responsibilities : - Lead end-to-end design and delivery of Generative AI/LLM solutionsdata ingestion, pre-processing, model training/fine-tuning, evaluation, and scalable inference. - Develop and productionize transformer-based models (instruction-tuning, LoRA, quantization) using PyTorch/TensorFlow and Hugging Face tooling. - Architect and implement RAG pipelines integrating vector databases (FAISS/Milvus/Chroma), dense / sparse retrieval, and scalable embedding workflows. - Optimize inference throughput and latency using ONNX/TorchScript/TensorRT, autoscaling, and cost-efficient deployment patterns on cloud infra. - Define MLOps best practices : CI/CD for models, containerization, observability, automated retraining, drift detection and rollout strategies. - Mentor engineers, conduct code reviews, and collaborate with product & data science to translate research into reliable production systems. Skills & Qualifications : Must-Have : - 7+ years software/ML engineering experience with significant time on generative/LLM projects. - Strong proficiency in Python and deep learning frameworks (PyTorch preferred; TensorFlow acceptable). - Hands-on experience with Hugging Face Transformers, tokenizers, training and fine-tuning workflows. - Proven experience building RAG systems and working with vector stores (FAISS, Milvus, Chroma) and embedding pipelines. - Experience deploying models to production using Docker, Kubernetes, and cloud services (AWS/GCP/Azure). - Solid software engineering practices : unit testing, CI/CD, code reviews, and monitoring for ML systems. Preferred : - Experience with model compression/acceleration (quantization, distillation), ONNX, or TensorRT. - Familiarity with LangChain or similar orchestration frameworks, agentic workflows, and tool-calling patterns. - Background in prompt engineering, instruction tuning, Reinforcement Learning from Human Feedback (RLHF) exposure. - Knowledge of data privacy, secure model serving, and compliance controls for enterprise deployments. Benefits & Culture Highlights : - Fully remote, India-based role with flexible hours and a results-oriented culture. - Opportunity to shape product architecture and scale cutting-edge generative AI for enterprise customers. - Collaborative environment with senior ML engineers, data scientists, and product stakeholdersmentorship and career growth. To apply, you should be passionate about bringing advanced generative models into production, comfortable with both research-to-production translation and the operational discipline required to run mission-critical AI systems.

About The Opportunity : A fast-scaling technology company operating in the Enterprise AI / Generative AI sector, building production-grade LLM-driven products and intelligent automation for global clients. We deliver secure, low-latency generative systems that power conversational AI, summarization, code generation, and retrieval-augmented applications across cloud-native environments. We are hiring a Senior Generative AI Engineer (7+ years) to own architecture, model development, and production deployment of advanced generative systems. This is a fully remote role for candidates based in India. Role & Responsibilities : - Lead end-to-end design and delivery of Generative AI/LLM solutionsdata ingestion, pre-processing, model training/fine-tuning, evaluation, and scalable inference. - Develop and productionize transformer-based models (instruction-tuning, LoRA, quantization) using PyTorch/TensorFlow and Hugging Face tooling. - Architect and implement RAG pipelines integrating vector databases (FAISS/Milvus/Chroma), dense / sparse retrieval, and scalable embedding workflows. - Optimize inference throughput and latency using ONNX/TorchScript/TensorRT, autoscaling, and cost-efficient deployment patterns on cloud infra. - Define MLOps best practices : CI/CD for models, containerization, observability, automated retraining, drift detection and rollout strategies. - Mentor engineers, conduct code reviews, and collaborate with product & data science to translate research into reliable production systems. Skills & Qualifications : Must-Have : - 7+ years software/ML engineering experience with significant time on generative/LLM projects. - Strong proficiency in Python and deep learning frameworks (PyTorch preferred; TensorFlow acceptable). - Hands-on experience with Hugging Face Transformers, tokenizers, training and fine-tuning workflows. - Proven experience building RAG systems and working with vector stores (FAISS, Milvus, Chroma) and embedding pipelines. - Experience deploying models to production using Docker, Kubernetes, and cloud services (AWS/GCP/Azure). - Solid software engineering practices : unit testing, CI/CD, code reviews, and monitoring for ML systems. Preferred : - Experience with model compression/acceleration (quantization, distillation), ONNX, or TensorRT. - Familiarity with LangChain or similar orchestration frameworks, agentic workflows, and tool-calling patterns. - Background in prompt engineering, instruction tuning, Reinforcement Learning from Human Feedback (RLHF) exposure. - Knowledge of data privacy, secure model serving, and compliance controls for enterprise deployments. Benefits & Culture Highlights : - Fully remote, India-based role with flexible hours and a results-oriented culture. - Opportunity to shape product architecture and scale cutting-edge generative AI for enterprise customers. - Collaborative environment with senior ML engineers, data scientists, and product stakeholdersmentorship and career growth.

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 Skill skeras,scikit-learn,pytorch,numpy,pandas,jira,confluence,aws,docker,git,ms azure,artificial intelligence,c++,debugging,etl,sql,predictive modeling,data science,statistics,machine learning*,deep learning*,exploratory data analysis*,python*,tensorflow*

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Salary : 40 to 55 LPA Exp: 8 to 12 years Location :Gurugram Hybrid Notice: Immediate to 30 days..!! Roles & responsibilities: 7+ years exp on Python , ML and model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 8+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Principle Developer - ML/Prompt Engineer Technologies: Amazon Bedrock, RAG Models, Java, Python, C or C++, AWS Lambda, Responsibilities: Responsible for developing, deploying, and maintaining a Retrieval Augmented Generation (RAG) model in Amazon Bedrock, our cloud-based platform for building and scaling generative AI applications. Design and implement a RAG model that can generate natural language responses, commands, and actions based on user queries and context, using the Anthropic Claude model as the backbone. Integrate the RAG model with Amazon Bedrock, our platform that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Optimize the RAG model for performance, scalability, and reliability, using best practices and robust engineering methodologies. Design, test, and optimize prompts to improve performance, accuracy, and alignment of large language models across diverse use cases. Develop and maintain reusable prompt templates, chains, and libraries to support scalable and consistent GenAI applications. Skills/Qualifications: Experience in programming with at least one software language, such as Java, Python, or C/C++. Experience in working with generative AI tools, models, and frameworks, such as Anthropic, OpenAI, Hugging Face, TensorFlow, PyTorch, or Jupyter. Experience in working with RAG models or similar architectures, such as RAG, Ragna, or Pinecone. Experience in working with Amazon Bedrock or similar platforms, such as AWS Lambda, Amazon SageMaker, or Amazon Comprehend. Ability to design, iterate, and optimize prompts for various LLM use cases (e.g., summarization, classification, translation, Q&A, and agent workflows). Deep understanding of prompt engineering techniques (zero-shot, few-shot, chain-of-thought, etc.) and their effect on model behavior. Familiarity with prompt evaluation strategies, including manual review, automatic metrics, and A/B testing frameworks. Experience building prompt libraries, reusable templates, and structured prompt workflows for scalable GenAI applications. Ability to debug and refine prompts to improve accuracy, safety, and alignment with business objectives. Awareness of prompt injection risks and experience implementing mitigation strategies. Familiarity with prompt tuning, parameter-efficient fine-tuning (PEFT), and prompt chaining methods. Familiarity with continuous deployment and DevOps tools preferred. Experience with Git preferred Experience working in agile/scrum environments Successful track record interfacing and communicating effectively across cross-functional teams. Good communication, analytical and presentation skills, problem-solving skills and learning attitude Mandatory Key SkillsTensorflow,Pytorch,Java,Agile,Scrum,Devops,Ci/Cd,Jupyter Notebook,Aws Lambda,C++,Git,Aws Sagemaker,Devops Tools,Ml,Aws,Machine Learning,Deep Learning,Natural Language Processing,Artificial Intelligence,Neural Networks,Data Science,Keras,Python*

Overview: We are seeking a highly motivated and experienced data scientist to help us in leading the team of Gen-Ai Engineers involved. You are required to lead & manage all the processes from data extraction, cleaning, and pre-processing, to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Key Responsibilities: Utilize frameworks like Langchain for developing scalable and efficient AI solutions. Integrate vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities. Work closely with cross-functional teams to define problem statements and prototype solutions leveraging generative AI. Ensure robustness, scalability, and reliability of AI systems by implementing best practices in machine learning and software development Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Demonstrable history of devising and overseeing data-centred projects Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies, feature engineering & data augmentation pipelines to be done on a given dataset Training models and tuning their hyperparameters Analysing the errors of the model and designing strategies to overcome them Deploying models to production Qualifications and Education Requirements: Bachelors/Masters degree in computer science, data science, mathematics or a related field. At least 5+years experience in building Gen-Ai applications. Preferred Skills: Proficiency in statistical techniques such as hypothesis testing, regression analysis, clustering, classification, and time series analysis to extract insights and make predictions from data. Proficiency with a deep learning framework such as TensorFlow, PyTorch and Keras Specialized in Deep Learning (NLP) and statistical machine learning. Strong Python skills. Experience with developing production-grade applications. Familiarity with Langchain framework and vector databases like Azure Cognitive Search, Weavite, or Pinecone. Understanding and experience with retrieval algorithms. Worked on Big data platforms and technologies such as Apache Hadoop, Spark, Kafka, or Hive for processing and analyzing large volumes of data efficiently and at scale. Familiarity in working and deploying applications on Ubuntu/Linux system Excellent communication, negotiation, and interpersonal skills. Please note - We are looking for immediate joiners only (or max. NP 15-20 days). Interested candidates may share their updated resume at sangeeta.mandal@coreops.ai

Skills Required: Proficiency in Python, SQL, Natural Language Processing (NLP), and strong data management skills, Artificial Intelligence Machine Learning, integrate AI/ML models into existing systems, delivering AI/ML projects from inception to deployment. Responsibilities: -Develop and implement AI/ML solutions to address business challenges -Collaborate with cross-functional teams to integrate AI/ML models into existing systems -Conduct research and stay updated with the latest advancements in AI/ML technologies -Proven track record of delivering AI/ML projects from inception to deployment -Strong problem-solving skills and ability to work independently and in teams. Minimum 5 years of hands-on experience in Artificial Intelligence/Machine Learning . Keywordsdata management,devops,aws,jenkins,java,docker,deep learning,data science,neural networks,predictive modeling,git,data analysis,r,linux,data analytics,computer vision,machine learning*,natural language processing*,python*,artificial intelligence*,sql*

As a Freelance Trainer at AI Talento, you will be responsible for training aspiring professionals and job seekers in Data Science, Machine Learning, and Artificial Intelligence. Your role will involve delivering structured training from basic to advanced levels, providing hands-on project exposure, conducting interactive sessions, and mentoring learners to make them job-ready in the AI/ML field. You will collaborate with the AI Talento team on curriculum updates and innovations to ensure the training remains relevant and effective. Key Responsibilities: - Demonstrate strong knowledge in Python, Data Science, Machine Learning, Deep Learning, NLP, Generative AI (any specialization is a plus). - Deliver real-time projects and corporate-level training. - Prepare learners for job roles, interviews, and corporate challenges. - Conduct interactive sessions, doubt clearing, and assessments. - Mentor learners to ensure they are job-ready in the AI/ML field. Qualifications Required: - Strong knowledge in Python, Data Science, Machine Learning, Deep Learning, NLP, Generative AI. - Experience in preparing learners for job roles and corporate challenges. - Excellent communication and interactive teaching skills in Hindi/English. - Prior corporate/industry experience is an added advantage. If you join AI Talento as a Freelance Trainer, you will have the opportunity to work remotely and contribute to a growing AI & Tech education platform. You will have the chance to train real job seekers and freshers looking to enter corporate roles, showcasing your expertise while mentoring the next generation of AI talent. Interested trainers can apply by sending an email to hr@aitalentoedu.com or visiting the website www.aitalentoedu.com. Join us and be part of our flexible freelance opportunity to make a difference in the AI/ML field. Contact Number: 7974183837 Job Type: Freelance,

**Job Description:** You are required to teach Applied AI/ML at Newton School, which includes designing and delivering practical, project-based courses in AI/ML such as Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, GenAI. Additionally, you will be responsible for developing industry-relevant curriculum, mentoring student projects, guiding and mentoring students on practical skills and career paths in AI/ML, staying updated on the latest AI/ML trends, collaborating with other industry-expert faculty, assessing practical skills, and creating assignments and assessments focused on practical application and understanding. **Key Responsibilities:** - Teach Applied AI/ML courses - Develop industry-relevant curriculum - Mentor student projects - Guide & mentor students - Stay current with AI/ML trends - Collaborate with faculty and staff - Assess practical skills **Required Qualifications & Experience:** - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, or similar field - Minimum 2-5 years of hands-on experience in the tech industry as an AI/ML Engineer, Data Scientist, Research Scientist, or similar role - Proven industry track record in building, training, and deploying machine learning models - Deep understanding of core ML algorithms, model evaluation, statistics, and current industry trends - Passion for teaching and mentoring - Experience in corporate training or mentoring **Required Skills:** - Expert-level Python programming - Proficiency in data science libraries (Pandas, NumPy, Scikit-learn) - Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch) - Strong SQL and data handling skills - Understanding of ML Ops practices and tools - Knowledge of key AI areas (NLP, Computer Vision, Generative AI/LLMs) - Excellent communication and mentoring skills - Team-oriented approach - Genuine interest in education and student success **Good-to-Have:** - Prior teaching experience - Familiarity with modern teaching methodologies **About Uplers:** Uplers aims to make hiring reliable, simple, and fast, supporting talents in finding and applying for relevant contractual onsite opportunities to progress in their careers. They offer a great work environment and opportunities for career advancement. If you are ready for a new challenge and want to take your career to the next level, apply today and explore the opportunities waiting for you!,

Role Overview: You will be contributing by processing, analyzing, and synthesizing information applied to a live client problem at scale. Additionally, you will be responsible for developing machine learning models to extract insights from both structured and unstructured data in areas such as NLP and Computer Vision. The role will require skills in both prototyping and developing individual solutions, as well as implementation and integration in a production environment. Key Responsibilities: - Process, analyze, and synthesize information for live client problems at scale. - Develop machine learning models for extracting insights from structured and unstructured data in areas like NLP and Computer Vision. - Possess skills in prototyping, developing solutions, and implementing them in a production environment. Qualifications Required: - A university degree in Mathematics, Computer Science, Engineering, Physics, or similar field. - 6+ years of relevant experience in Data Mining, Classical Machine Learning, Deep Learning, NLP, and computer vision. - Experience with Large Scale/ Big Data technology such as Hadoop, Spark, Hive, Impala, PrestoDb. - Proficiency in developing ML models using open-source frameworks in Python and R and applying them to real client use cases. - Proficient in deep learning stacks like PyTorch or Tensorflow. - Working knowledge of parallelisation and async paradigms in Python, Spark, Dask, Apache Ray. - Awareness and interest in economic, financial, and general business concepts and terminology. - Excellent written and verbal command of English. - Strong problem-solving, analytical, and quantitative skills. - Professional attitude and service orientation with the ability to work with international teams. - Experience in leading a team is an advantage. Additional Details: At Galytix, you will be part of a mission-driven firm that is revolutionizing the Insurance and Banking industry by redefining boundaries. You will have the opportunity to work closely with senior leaders and develop highly valued skills while working with top-tier clients. The company is experiencing rapid growth, especially in India, providing you with a chance to directly shape its future and become a part of a global leader in AI.,