218 Rag Jobs - Page 2

We are seeking a skilled and experienced Machine Learning Engineer to join our team.The ideal candidate will have a strong background in Python and PyTorch, along with 4-8 years of experience deploying ML/AI models to production. This role requires excellent analytics skills and a good working knowledge of Databricks. You will work closely with data scientists, clinicians, software engineers, and product teams to design, build, and optimize scalable machine learning solutions. Role & responsibilities Develop, train, and optimize machine learning models using PyTorch and other ML frameworks. Deploy and maintain ML models in production environments, ensuring scalability, performance, and reliability. Utilize Databricks for data processing, model training, model deployment, and pipeline optimization. Deploy Retrieval-Augmented Generation (RAG) pipelines to production for improved AI-driven applications. Collaborate with data engineers to design and implement ETL workflows and data pipelines. Perform rigorous testing, validation, and monitoring of deployed models. Optimize model inference for low latency and high throughput applications. Work with stakeholders to translate business problems into ML solutions. Stay up to date with the latest advancements in machine learning, deep learning, and AI deployment strategies. Preferred candidate profile Proficiency in Python and ML frameworks such as PyTorch. 4-8 years of experience deploying machine learning models to production. Knowledge of MLflow for experiment tracking and model management. Strong experience with Databricks for ML development and deployment. Hands-on experience with MLOps, CI/CD pipelines, and cloud-based deployment (AWS, Azure, or GCP). Solid understanding of data structures, algorithms, and software engineering principles. Experience working with large-scale datasets and distributed computing frameworks. Experience with deploying Retrieval-Augmented Generation (RAG) pipelines to production. Excellent analytical and problem-solving skills. Strong communication skills and ability to work in a collaborative team environment. Preferred Qualifications Experience deploying models in the healthcare domain. Experience with feature engineering, data preprocessing, and model explainability. Knowledge of containerization (Docker, Kubernetes) and workflow orchestration tools Familiarity with LLMs, NLP, or reinforcement learning is a plus.

Responsibilities: * Design and implement AI solutions using GML, Neo4J, ArangoDB, LangChain, LLamaIndex, RAG. * Collaborate with cross-functional teams on ML projects with Python, PySpark, Pytorch, R, SQL.

Design, develop, and deploy advanced Gen AI models to solve complex problems Proficiency in Python and AI frameworks (TensorFlow, PyTorch) Knowledge of RAG, prompt engineering, and NLP fine-tune, and maintain AI models, language models and RAG system

Develop and deploy ML pipelines using MLOps tools, build FastAPI-based APIs, support LLMOps and real-time inferencing, collaborate with DS/DevOps teams, ensure performance and CI/CD compliance in AI infrastructure projects. Required Candidate profile Experienced Python developer with 4–8 years in MLOps, FastAPI, and AI/ML system deployment. Exposure to LLMOps, GenAI models, containerized environments, and strong collaboration across ML lifecycle

Position overview Work in an innovative and fast paced AI application development team to conceptualize and execute projects to leverage the power of AI/ML and analytics. The work will be related to producing business outcomes for Cloud and Cybersecurity products and services of Novamesh, a wholly owned subsidiary of Tata Communications Ltd. Success in this role requires a mix of data science skills, appreciation of the business, and ability to work across teams. A special focus area of this role would be to identify and execute ideas for creating monetizable product differentiators by working with Domain Experts from individual product teams and acquire domain skills in the process. Detailed job description Develop, Test, and Deploy ML/AI models for various products 10 to 12 Years of industry experience with demonstratable outcomes in field of Data Science Perform data preprocessing, feature engineering and ML/DL model evaluation Optimize and fine-tune models for performance and scalability Good understanding of Statistical, ML, AI models Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT Build and refine RAG models to improve information retrieval and answer generation. Integrate RAG methods into existing applications to enhance data accessibility and user experience. Work closely with cross-functional teams including software engineers, product managers, and domain experts. Document processes, methodologies, and model development for internal and external stakeholders. Go-getter attitude and will to Make it happen" Qualification and Skills Bachelor or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field from reputed institutions. Strong knowledge of probability and statistics. Expertise in machine learning and deep learning skills Hand on experience with GenAI, LLMs and SLMs Strong programming skills Python, PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex , OpenAI SQL, flat file DB, Datalakes, data stores, data frames (Pandas, Cudf etc.) Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. Good knowledge of Data Engineering and working knowledge of the same Excellent problem-solving skills and a proactive attitude. Excellent communication skills and teamwork abilities

Assistant Manager AI / Gen AI Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation and Statistical Insights and AI/GenAI. The assignments cover a wide range of countries and industry sectors The opportunity We are looking for an assistant manager - AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics and Python Programming; will be responsible for developing and delivering industry sectors (Financial services; Consumer, product & Retail; Healthcare & wellness; Manufacturing; Supply chain; telecom; Real Estate etc.) specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. Your key responsibilities Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. Having relevant understanding of Big Data and Visualization would be one-upping. Lead the development and implementation of Generative AI applications using both open source (Llama, BERT, Dolly etc.) and closed source (Open AI GPT models, MS Azure Cognitive Services, Googles Palm, Cohere etc.) Large Language Models (LLMS). Extensively work with advanced models such as GPT , Llama, BERT, RAG and Graph RAG for natural language processing , and creative content generation using contextual information. Design and optimize Agentic RAG solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Understand Business and Sectors, ability to identify the whitespaces and opportunities for analytics application. Work and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies. Work with project managers to study resource needs and gaps and devise alternative ways forward. Provide expert reviews for all projects within the assigned subject. Ability to communicate with cross functional/competencies teams. Go to Market / Stakeholder Management. . Skills and attributes for success Able to work creatively and systematically in a time-limited, problem-solving environment Loyal and reliable with high ethical standards Flexible, curious and creative, open for new things and able to propose innovative ideas Good interpersonal skills Team player, open, pleasure to work with and positive in a group dynamic Intercultural intelligence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience Ability to manage multiple priorities simultaneously to meet tight deadlines and drive projects to completion with minimal supervision To qualify for the role, you must have Experience of guiding teams on Projects focusing on AI/Data Science and Communicating results to clients Familiar in implementing solutions in Azure Cloud Framework Excellent Presentation Skills 5- 12 years of relevant work experience in developing and implementing Agentic GenAI/AI, Machine Learning Models- experience of deployment in Azure is preferred Experience in application of statistical techniques like Linear and Non-Linear Regression/classification/optimization, Forecasting and Text analytics. Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks Minimum 4 years of experience in working with NLG, LLM, DL Techniques Relevant understanding of Deep Learning and neural network techniques Expertise in implementing applications using open source and proprietary LLM models Proficient in using Langchain-type orchestrators or similar Generative AI workflow management tools Minimum of 5-6 years of programming in Python Experience with the software development life cycle (SDLC) and principles of product development Willingness to mentor team members Solid thoughtfulness, technical and problem-solving skills Excellent written and verbal communication skills Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of clients Willingness to travel extensively and to work on client sites / practice office locations What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-prominent, multi-disciplinary team of 3500 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Were looking for a skilled Generative AI Engineer to build and deploy AI-powered applications using OpenAI models and Azure Cloud services . The ideal candidate will have experience in Python , RAG architectures , and OCR integration . Key Responsibilities: Develop GenAI apps using OpenAI APIs (ChatGPT, GPT-4, Embeddings). Deploy and manage solutions on Azure (App Services, Azure Functions, Cognitive Services). Build RAG pipelines with vector databases (e.g., Azure Cognitive Search). Integrate OCR using tools like Azure Vision or Tesseract . Automate workflows using Python and Azure SDKs. Ensure performance, scalability, and security in production environments. Skills Required: OpenAI (ChatGPT, GPT-4, Embeddings) Azure Cloud (Azure OpenAI, Azure Functions, Cognitive Services) Python (LangChain, FastAPI, SDKs) RAG frameworks & vector databases OCR tools (Tesseract, Azure OCR) Docker, Git, CI/CD pipelines Preferred: Experience with LangChain or LLM orchestration Familiarity with Azure DevOps or GitHub Actions

Title Overview: Data Scientist Location: Bangalore Experience: 3-12 years Employment Type: Full-time Job Overview: We are seeking a Data Scientist to help drive AI-driven insights and solutions, leveraging both traditional machine learning and Generative AI (GenAI). This role focuses on data exploration, predictive modeling, and extracting actionable insights from structured and unstructured data. You will work closely with business teams to translate challenges into AI-powered solutions, using advanced analytics, machine learning, and large language models (LLMs). Key Responsibilities: • Conduct exploratory data analysis (EDA) to uncover patterns, trends, and insights. • Develop and implement predictive and prescriptive models to support data-driven decision-making. • Work with large datasets and apply techniques in statistics, probability, and optimization. • Fine-tune large language models (LLMs) for text analytics, summarization, and conversational AI. • Leverage Generative AI for knowledge retrieval, document automation, and personalization. • Work on A/B testing, experimentation, and causal inference to evaluate AI model effectiveness. • Collaborate with business teams to identify AI opportunities and present insights through visualizations. • Use vector databases, retrieval-augmented generation (RAG), and prompt engineering for GenAI applications. • Assist AI/ML Engineers in transitioning models from research to production while ensuring interpretability and explainability. • Stay updated on the latest ML algorithms, generative AI advancements, and statistical techniques. Required Skills & Qualifications: • Bachelors/Masters/PhD in Data Science, Statistics, Mathematics, or a related field. • Strong proficiency in Python, SQL for data analysis and modeling. • Hands-on experience with statistical modeling, hypothesis testing, and feature engineering. • Experience in ML frameworks (Scikit-learn, TensorFlow, PyTorch) and working with LLMs (e.g., GPT, BERT etc). • Knowledge of time-series forecasting, clustering, and anomaly detection techniques. • Familiarity with NLP, embeddings, and GenAI-driven analytics. • Strong experience with data visualization tools. • Ability to translate data insights into business impact and storytelling. • Exposure to A/B testing, experiment design, and optimization algorithms

The JD for AI/Ml programmer is given below: Key Responsibilities: Design, develop, and deploy Generative AI models using state-of-the-art architectures (e.g., Transformers, Diffusion models). Build and fine-tune LLM-powered agents capable of multi-step reasoning, task planning, and tool use. Work with frameworks like LangChain, AutoGPT, BabyAGI, CrewAI , or similar agent orchestration tools. Integrate models with REST APIs, vector databases (e.g., Pinecone, FAISS, Chroma), and external systems. Optimize inference pipelines for performance, latency, and scalability. Collaborate with product managers and data scientists to prototype and productionize AI features. Stay updated on recent advancements in Generative AI and autonomous agents. Required Qualifications: 34 years of hands-on experience in Machine Learning / Deep Learning , with at least 1–2 years in Generative AI and/or AI Agents . Proficiency in Python and ML libraries such as PyTorch , TensorFlow , Transformers (Hugging Face) . Experience with LLM APIs (OpenAI, Claude, Mistral, etc.) and building LLM-based applications. Solid understanding of prompt engineering , fine-tuning , RAG (Retrieval-Augmented Generation) , and multi-modal learning . Familiarity with agent orchestration frameworks and LLM tool chaining . Strong problem-solving and communication skills. Preferred Qualifications: Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Weights & Biases). Knowledge of Reinforcement Learning or Meta-learning for agent training. Experience contributing to open-source projects or published papers in the field of AI.

Very Urgent: GenAI Consultant / Sr. GenAI Consultant Company: AurumData Solutions Location: Hyderabad Experience: 6-10Years (3+years in AI) Work type: Work From Office Key skills: GenAI, Python, Data analysis, LLM, TensorFlow, PyTorch, SQL, RAG, NLP, LangChain, LangGraph, SQL etc.. JD for Gen AI Consultant: This job description outlines a role for an AI Specialist who will be responsible for developing and implementing AI solutions across various domains. Here's a breakdown of the key aspects: This position combines traditional machine learning expertise with cutting-edge LLM technologies and practical application development skills. The role requires experience across the full AI development stack, from data management and model fine-tuning to building sophisticated agent-based systems and user-facing applications. Core Responsibilities - Developing AI models and algorithms - Implementing machine learning techniques for data analysis - Creating NLP applications (chatbots, virtual assistants) - Data preprocessing and feature engineering - Model evaluation and optimization - Research and innovation in AI - Cross-functional collaboration - Technical documentation Required Skills - Strong background in machine learning and deep learning - Python programming with frameworks like TensorFlow and PyTorch - Independent project management capabilities - Data science workflow experience - Cloud platform knowledge (AWS, Google Cloud, Azure) - Problem-solving with practical solutions - **Experience with vector databases** - **Knowledge of Large Language Models (LLMs)** - **Implementation of Retrieval-Augmented Generation (RAG) systems** - **Experience with LLM fine-tuning techniques** - **Expertise in fine-tuning LLMs for specific domains/tasks** - **Front-end development skills** for AI application interfaces - **Proficiency with Pydantic** for data validation and settings management - **Experience developing agentic frameworks** for autonomous AI systems - **Familiarity with LangChain** for building LLM applications - **Knowledge of Hugging Face** ecosystem and model hub - **Experience with LangGraph** for building complex, multi-agent systems Qualifications - Bachelor's or Master's in Computer Science, AI, or related fields - Experience in startup environments - Passion for AI applications If you are interested, kindly send your CVs to Balaram@aurumdatasolutions.com Regards, Balaram K Mobile No: +91- 9000749410 / 9848771366 USA: +1 (346) 999 0801 Email: Balaram@aurumdatasolutions.com

Very Urgent: AI Specialist / Gen AI Specialist with LLM Company: AurumData Solutions Experience: 8+years Location: Hyderabad Job Mode: Permanent Work Type: Work From Office Key Skills: AI/GenAI, LLM, RAG,NLP, Python, ML/DL, TensorFlow, PyTorch, Scikit-learn, cloud platforms (AWS, GCP, or Azure) AI Specialist Job Description: We are seeking an experienced AI Specialist to develop, implement, and optimize artificial intelligence (AI) and machine learning (ML) models. The ideal candidate will have a strong background in AI, deep learning, natural language processing (NLP), and data science. This role involves collaborating with cross-functional teams to integrate AI-driven solutions into business processes, enhancing efficiency, automation, and decision-making. Required Skills & Qualifications Bachelor's or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field. 5+ years of experience in AI/ML development and deployment. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs). Experience with NLP, speech recognition, or computer vision. Knowledge of cloud-based AI services (AWS SageMaker, GCP AI, Azure ML). Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent communication skills to convey AI concepts to non-technical stakeholders. Design, develop, and deploy AI/ML models to solve complex business problems . Implement machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Work with large datasets to extract insights and build predictive models. Develop AI-powered applications, including chatbots, recommendation systems, and computer vision solutions. Collaborate with data scientists, engineers, and business analysts to align AI solutions with business needs. Optimize AI models for performance, scalability, and accuracy. Conduct research on emerging AI technologies and recommend their adoption. Ensure AI solutions comply with ethical AI principles, privacy regulations, and security guidelines. Use cloud platforms (AWS, GCP, or Azure) to deploy and manage AI models. Continuously monitor and improve AI models based on real-world feedback and data. Preferred Qualifications AI certifications (Google Professional ML Engineer, AWS Certified ML Specialist, etc.). Experience in AI-driven automation and decision intelligence. Knowledge of edge AI and federated learning techniques. If you are interested, kindly send your updated profiles to Balaram@aurumdatasolutions.com Regards, Balaram K Mobile No: +91- 9000749410 / 9848771366 Email: Balaram@aurumdatasolutions.com

Greetings from V2Soft Position : AI Architect / Developer Location : Bangalore / Chennai Experience : 9 -15 Years. Mode : Hybrid. Role & responsibilities : 10+ years of experience in the field of AI and ML ( Machine Learning ) 2 Years of relevant experience and previous work in any related AI is a plus Gen AI Experience Text embeddings Vector DB AI Frameworks [ Lang chain / Lama Index/ Language Graph* ] Prompt Engineering & Techniques RAG ( Retrieve Augment and Generate ) MCP ( Model Context Protocol )* Agentic AI* LLM ( Large Language Models , both open source and proprietary ) Measuring Model Accuracy* Deploying Models on-prem and on the cloud Interested Candidates can send your updated resume to : kkumarpn@v2soft.com Regards Kiran

Role & responsibilities: Overall Experience : 10+ years of experience in the field of AI and ML ( Machine Learning ) Experience : 2 Years of relevant experience and previous work in any related AI is a plus ] Gen AI Experience Text embeddings Vector DB AI Frameworks [ Lang chain / Lama Index/ Language Graph* ] Prompt Engineering & Techniques RAG ( Retrieve Augment and Generate ) MCP ( Model Context Protocol )* Agentic AI* LLM ( Large Language Models , both open source and proprietary ) Measuring Model Accuracy* Deploying Models on-prem and on the cloud

Job Title: Senior AI Engineer Location: Chennai Reports To: Data Architect About the Company: Ignitho Inc. is a leading AI and data engineering company with a global presence, including US, UK, India, and Costa Rica offices. Visit our website to learn more about our work and culture: www.ignitho.com. Ignitho is a portfolio company of Nuivio Ventures Inc., a venture builder dedicated to developing Enterprise AI product companies across various domains, including AI, Data Engineering, and IoT. Learn more about Nuivio at: www.nuivio.com. Job Summary: As a Senior AI Engineer, the candidate will lead the design, development, and deployment of cutting-edge machine learning and artificial intelligence solutions. The candidate will work closely with cross-functional teams to understand business needs and translate them into scalable AI-driven applications. Key Responsibilities: Design and implement machine learning models and AI agents/LLMs . Develop and optimize AI pipelines (LLM, RAG, fine-tuning) Collaborate with product, engineering, and data teams to define and implement AI-driven features. Evaluate model performance and iterate to improve accuracy and efficiency. Mentor junior engineers and contribute to team best practices. Stay up to date with state-of-the-art AI technologies and research. Required Qualifications: Bachelors or master’s in computer science, AI, or related field. 5+ years of experience in AI/ML development . Experience working with LLMs, Agentic AI, RAG, and model fine-tuning Strong programming skills in Python and familiarity with frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with cloud platforms ( Azure preferred). Solid understanding of data preprocessing, model training, validation, and deployment.

Skill Needed Job: Define the Agentic Function for Industrial Quality Inspection Workflow design Bring up the LLM and AI baseline framework -open source (Llava) Visual inspection -Customization for specific environment Descriptive outcome-Prompt Engineering for visual inspection UC Third party/Defect Evaluation Sensors Integration Skills Gen AI/ML, LLM Model Training and Fine-Tuning Fine-Tuning . RAG implementation, dataset curation, customization Develop Gen AI Use cases using models using GCP/AWS/Azure as well as Private Server/Edge AI tools/frameworks (e,g NVIDIA tool/libraries) ML Engineering Tensor Flow, PyTorch NLP/Neural Networks/Python etc Familiarity with AWS, Azure or Google Cloud Platform Software Development Methodologiese & responsibilities We would like to have below details and your updated CV to process ahead with screening and technical discussions. Interview Mode: Virtual(Teams video conference) Location- Noida /Chennai/Bangalore Candidate Name Notice Period/LWD Experience Preferred Current CTC Expected CTC DOB Offer Holding from other Org with CTC details.- Email id Contact No

Role & responsibilities We are looking for Data Scientist position permanent position with US MNC for Remote. Job Posting Title: Data Scientist What does a Data Scientist do? As a data scientist, you will be responsible for analyzing and interpreting complex data sets to identify patterns and insights. You will be developing data models and algorithms to support the project needs. Implement data validation strategies to ensure high data quality. Collaborate with AI/ML engineers to integrate data models into the conversion engine system. Present findings and recommendations to stakeholders and management. Not being afraid to fail fast is one of the essential tools an NL Data Scientist can have in the cutting-edge technology market. What you will do: Develop AI-Driven Data Conversion Application: Utilize AI technologies to develop a comprehensive data conversion application. Data Mapping: Implement AI algorithms for accurate data mapping from source to target. Code Generation: Automate code generation using AI models. Data Validation: Apply AI-driven validation techniques to ensure data integrity and quality. Code Conversion: Facilitate seamless code conversion using AI algorithms. Collaboration: Work with data engineers, software developers, AI solution engineers, and business analysts to integrate the data conversion application. Monitor and Troubleshoot: Continuously monitor and troubleshoot the AI-driven application to ensure optimal functionality. Documentation: Maintain detailed documentation of methodologies and processes used in the application development. Stay Updated with Technologies: Keep up-to-date with the latest AI, data science, and data conversion technologies to enhance the application. What you will need to have: Bachelors or Masters Degree in Data Science, Computer Science, Artificial Intelligence, or a related field. Proficiency in Programming Languages such as Python, SQL, and other relevant languages. Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. Knowledge of Data Mapping Techniques: Experience with AI-driven tools and methodologies for data mapping.• Strong Code Generation Skills: Experience in developing AI models for automating code generation. Experience with Data Validation: Implementing AI-based validation techniques. Familiarity with Code Conversion: Understanding AI algorithms for code conversion. Experience with Databases like SQL Server and MongoDB. Collaboration Skills: Ability to work effectively with cross-functional teams. Problem-Solving Skills: Strong ability to identify issues and develop creative solutions. Attention to Detail: Ensure accuracy and reliability of data conversions. 5+ Years of Relevant Experience in data science or a related field. Willingness to Fail Fast and learn from mistakes in the fast-paced technology market. Preferred qualifications for consideration: Experience in the Financial Services Industry and an understanding of compliance standards. Certification in Data Science or AI/ML. Experience with Master data management, Data Wrangling and ETL Processes. Familiarity with DevOps Tools like Jira, Confluence, and BitBucket. Experience with data and AI/ML Technologies: Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. Previous Experience Delivering AI Solutions for complex data or conversions: Seamless Data Schema Conversion, AI-Driven Data Validation for Migration Accuracy, Intelligent Code Generation for Data Transformation Scripts , Historical Data Transformation and Archiving, Intelligent Error Detection and Correction, AI-Augmented Data Reconciliation

Role & responsibilities We are looking for Data Scientist position permanent position with US MNC for Remote. Job Posting Title: Data Scientist What does a Data Scientist do? As a data scientist, you will be responsible for analyzing and interpreting complex data sets to identify patterns and insights. You will be developing data models and algorithms to support the project needs. Implement data validation strategies to ensure high data quality. Collaborate with AI/ML engineers to integrate data models into the conversion engine system. Present findings and recommendations to stakeholders and management. Not being afraid to fail fast is one of the essential tools an NL Data Scientist can have in the cutting-edge technology market. What you will do: Develop AI-Driven Data Conversion Application: Utilize AI technologies to develop a comprehensive data conversion application. Data Mapping: Implement AI algorithms for accurate data mapping from source to target. Code Generation: Automate code generation using AI models. Data Validation: Apply AI-driven validation techniques to ensure data integrity and quality. Code Conversion: Facilitate seamless code conversion using AI algorithms. Collaboration: Work with data engineers, software developers, AI solution engineers, and business analysts to integrate the data conversion application. Monitor and Troubleshoot: Continuously monitor and troubleshoot the AI-driven application to ensure optimal functionality. Documentation: Maintain detailed documentation of methodologies and processes used in the application development. Stay Updated with Technologies: Keep up-to-date with the latest AI, data science, and data conversion technologies to enhance the application. What you will need to have: Bachelors or Masters Degree in Data Science, Computer Science, Artificial Intelligence, or a related field. Proficiency in Programming Languages such as Python, SQL, and other relevant languages. Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. Knowledge of Data Mapping Techniques: Experience with AI-driven tools and methodologies for data mapping.• Strong Code Generation Skills: Experience in developing AI models for automating code generation. Experience with Data Validation: Implementing AI-based validation techniques. Familiarity with Code Conversion: Understanding AI algorithms for code conversion. Experience with Databases like SQL Server and MongoDB. Collaboration Skills: Ability to work effectively with cross-functional teams. Problem-Solving Skills: Strong ability to identify issues and develop creative solutions. Attention to Detail: Ensure accuracy and reliability of data conversions. 5+ Years of Relevant Experience in data science or a related field. Willingness to Fail Fast and learn from mistakes in the fast-paced technology market. Preferred qualifications for consideration: Experience in the Financial Services Industry and an understanding of compliance standards. Certification in Data Science or AI/ML. Experience with Master data management, Data Wrangling and ETL Processes. Familiarity with DevOps Tools like Jira, Confluence, and BitBucket. Experience with data and AI/ML Technologies: Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. Previous Experience Delivering AI Solutions for complex data or conversions: Seamless Data Schema Conversion, AI-Driven Data Validation for Migration Accuracy, Intelligent Code Generation for Data Transformation Scripts , Historical Data Transformation and Archiving, Intelligent Error Detection and Correction, AI-Augmented Data Reconciliation

Very Urgent: AI Specialist Company: AurumData Solutions Location: Hyderabad Experience: 5-10Years Work type: Work From Office AI Specialist Job Description: We are seeking an experienced AI Specialist to develop, implement, and optimize artificial intelligence (AI) and machine learning (ML) models. The ideal candidate will have a strong background in AI, deep learning, natural language processing (NLP), and data science. This role involves collaborating with cross-functional teams to integrate AI-driven solutions into business processes, enhancing efficiency, automation, and decision-making. Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Implement machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Work with large datasets to extract insights and build predictive models. Develop AI-powered applications, including chatbots, recommendation systems, and computer vision solutions. Collaborate with data scientists, engineers, and business analysts to align AI solutions with business needs. Optimize AI models for performance, scalability, and accuracy. Conduct research on emerging AI technologies and recommend their adoption. Ensure AI solutions comply with ethical AI principles, privacy regulations, and security guidelines. Use cloud platforms (AWS, GCP, or Azure) to deploy and manage AI models. Continuously monitor and improve AI models based on real-world feedback and data. Required Skills & Qualifications Bachelor's or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field. 5+ years of experience in AI/ML development and deployment. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs). Experience with NLP, speech recognition, or computer vision. Knowledge of cloud-based AI services (AWS SageMaker, GCP AI, Azure ML). Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent communication skills to convey AI concepts to non-technical stakeholders. Preferred Qualifications AI certifications (Google Professional ML Engineer, AWS Certified ML Specialist, etc.). Experience in AI-driven automation and decision intelligence. Knowledge of edge AI and federated learning techniques. If you are interested, kindly send your CVs to Madhavi@aurumdatasolutions.com

GenAI, NLP, or LLM based systems , strong Python development skills and working LangChain, LlamaIndex, Hugging Face Transformers, or similar GenAI libraries Deep understanding of vector databases and embedding techniques

Role & responsibilities Lead the development of generative AI applications using OpenAI models, LLMs, and RAG methods to enhance the accuracy and relevance of AI responses. Develop and optimize prompt engineering strategies for specific use cases to improve AI output quality. Build and integrate AI models into scalable applications using serverless architecture and cloud infrastructure (Azure preferred). Implement RAG techniques, combining retrieval of relevant data with LLM responses for accurate and context-aware outputs. Collaborate with product teams to integrate AI capabilities into the broader product ecosystem. Design and implement APIs that leverage AI models for real-time data processing and user interaction. Enhance performance and fine-tune LLMs for high accuracy and relevancy in diverse applications. Manage AI model deployment, monitoring, and improvement processes to ensure long-term scalability. Work on natural language processing (NLP) solutions to improve customer experience through AI-driven features. Ensure adherence to security, privacy, and ethical considerations of AI models. Lead a team of developers and collaborate with data scientists to integrate and optimize AI functionalities. Provide technical guidance and mentorship to junior developers in AI, LLM, and RAG projects. Preferred candidate profile 3-5 years of experience in AI and machine learning development, with a focus on generative AI and LLMs. Extensive experience with OpenAI, GPT models, and RAG methodologies. Expertise in prompt engineering for AI-driven applications. Strong experience in full-stack development with technologies like Python, Azure, and serverless architectures. Proven experience with Azure services such as Azure Container Apps, Azure Data Lake, Azure Cosmos DB, Azure SQL DB, and Azure Data Factory. Knowledge of API design, real-time data processing, and AI model optimization. Hands-on experience with NLP technologies and frameworks. Familiarity with CI/CD pipelines and best practices for continuous deployment and integration. Strong understanding of AI ethics, data privacy, and security considerations in AI-powered applications. Nice to Have: Experience with mobile development frameworks (e.g., CapacitorJS, Ionic). Familiarity with front-end frameworks and design principles (e.g., Material UI). Experience in advanced AI platforms (e.g., Bedrock, Anthropic). Experience in AI-powered chatbots and conversational AI solutions. Benefits: Competitive salary with performance bonuses. Fully remote and flexible working environment. Opportunities to work with cutting-edge AI technologies and innovative product teams. Career growth in a rapidly evolving industry focused on Generative AI and machine learning

Gainwell Technologies LLC Summary Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. Your role in our mission Development based on AI/ GEN AI– Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications. Experienced in multiple LLM fine tuning techniques. Experienced in building GEN AI solutions using RAG architecture. Skilled in both Lang Chain and Lang Graph. Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm. Experienced in multiple Vector Databases as well as Graph Database Skilled in Agentic AI Framework and has built at least one solution using Agentic AI. End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact. Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. System Integration – Skilled in API development and integrations. Implement and optimize AI models within Gain well’s existing technology stack, collaborating with software engineers to ensure seamless integration. Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails. Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices. What you should expect in this role Fully Remote Opportunity Minimal Travel Required – Occasional travel opportunities (0-10%) Working hours 1:30 pm to 11 pm Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards.

Hello All, We Are hiring for Data Scientist Position Skills Python+AI+RAG+LLM Traditional DS+ NLP+DL+AI MLOPS+ Any cloud Below detail JD FYR, Location - PAN INDIA Experience with Data Science, AI/ML and Generative AI technologies - Extensive hands-on experience in implementing end to end projects utilizing GenerativeAI using Microsoft Azure AI , OpenAI - Extensive hands-on experience in building GenerativeAI application using methodologies such as RAG - Experience in automating various aspects of the overall RAG pipeline for GenerativeAI based application - Experience in designing solutions utilizing GenerativeAI , AI and ML components. - Hands-on experience in working with Azure OpenAI services or other managed large language models - Experience with AI/ML, search and data services within Azure ecosystem such as Azure OpenAI, AI Search, CosmosDB, Functions, etc. - Experience with evaluation, validation and refinement of results from GenerativeAI RAG based applications - Experience with setting up monitoring, observability and guardrails for GenerativeAI solutions - Extensive experience in Python programming languages along with popular frameworks such as Flask, FastAPI, etc. - Experience with AIML, deep learning, TensorFlow, Python, NLP - Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. - Experience with deploying applications to Microsoft Azure or other cloud platforms. Intrested candidates please share your CV on kalyani.kadhare@alikethoughts.com Thanks & Regards, Kalyani | Talent Acquisition

Data Scientist/ GenAI LLM Engineer. Working at the edge of AI/ML technologies we help our clients to leverage the value of unstructured data, to uncover the hidden power of accumulated enterprise information. As an LLM engineer, you will have the opportunity to apply your deep expertise in LLM/GenAI technologies. Your main responsibility will be collaborating closely with clients to prototype, build, test, and deploy products powered by GenAI/LLM technology on a large scale. Additionally, you will play a key role in fine-tuning the hyperparameters of LLM models, optimizing their configuration to ensure the overall model performance and enhance the overall model performance to drive positive outcomes for clients. Work with Python, LLM/GenAI frameworks and tools AI/ML end-to-end solutions developing CI/CD pipelines development, LLM model containerizing and deployment on cloud or premise. Models testing and follow-up maintenance. All stages of ML model life cycle ensuring and support. Design prototypes and POCs to demonstrate solution feasibility and value. Provide architecture solution. Research, design, build, and train innovative applications of LLMs to solve complex real-world problems. Provide technical guidance to clients adopting LLM technologies. Required Qualifications: Bachelors Degree (might be final course student) in Statistics, Applied Mathematics, Computer Science, or other related fields Experience in AI/ML technologies and software engineering, at least 3+ years of hands-on experience with Python, 2+ years of experience with Schell scripting, 1+ years of experience building and maintaining scalable API solution 2+ years of professional experience with NLP, 1+years of professional experience with Large Language Models (LLM)/GenAI technology like OpenAI API, ChatGPT, GPT-4, Bard, Synthesia, Langchain, HuggingFace Transformers, PyTorch and similar, 1+ years of experience with prompt engineering, 1+ years of experience with vector database 2+ years of experience with AWS, GCP or Microsoft Azure, 2+ years of experience with MLOps, CI/CD pipeline development, containerization, model deployment in test and production environments Be a team player, fluent in English and ability to clearly communicate complex LLM capabilities and limitations to non-technical stakeholders. Desired Qualifications: M.sc. or Phd. in corresponding fields Experience with Java, Java Script or Scala, 2+ years of experience with Snowflake or Databricks Deep knowledge of a specific domain or industry, with a focus on NLP/LLM In depth understanding of Responsible AI standards and protocols Applied research background leveraging frameworks to build LLM prototypes, knowledge of best practices for production LLM development

Responsibilities: Develop and Propose the solution architecture for Generative AI (especially LLMs), advanced Conversational AI chatbots & cloud AIaaS. Develop and implement applications leveraging advanced Generative AI models such as OpenAI GPT, Anthropic Clude, Meta Llama2 and Google Gemini focusing on enhancing developer and business productivity. Develop, Train, Finetune, and Deploy large language models to perform the domain specific tasks. Apply instruction tuning, reinforcement learning from human feedback (RLHF), and parameter efficient finetuning such as, adaptors, LoRA, and so on to improve LLMs for different use cases. Architect solutions incorporating advanced techniques like Retrieval Augmented Generation (RAG), Transformer Architectures, Lanchain, Sqlchain ensuring optimal model performance and scalability. Hands on experience in RAG system, LLM fine tuning and Vector DB is must Measure and benchmark of the various LLMs and application performance. Drive end-to-end implementation and deployment with extensive knowledge of Azure and AWS services Stay abreast of emerging trends, complex patterns, data dependencies, and advancements in AI architecture, contributing to the refinement and innovation of application development processes. Qualifications: Bachelor Degree or Masters degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence. Excellent programming skills in Python with strong fundamentals in programming, optimizations and software design Strong knowledge of ML/DL techniques, algorithms, and tools with exposure to CNN, RNN (LSTM), Transformers (BERT, BART, GPT/T5, Megatron, LLMs) Hands-on experience on conversational AI Technologies like Natural Language Understanding, Natural Language Generation, Dialog systems (including system integration, state tracking and action prediction), Information retrieval and Question and Answering, Machine Translation etc. Experience with Training BERT, GPT and Megatron Models for different NLP and dialog system tasks using “PyTorch” Deep Learning Frameworks and performing NLP data wrangling and tokenization Understanding of MLOps life cycle and experience with MLOps workflows & traceability and versioning of datasets including knowhow of database management and queries (in SQL, MongoDB etc) Experience using end-to-end MLOps platform such as Kubeflow, MLFlow, AirFlow Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment.

Job Description About Onix We a trusted cloud consulting company and leading Google Cloud partner that helps companies get the most out of their technology with cloud-powered solutions, best-in-class services, and the data migration products that unleash AI potential. We are able to deliver exceptional results for our customers because of our 20+ year partnership with Google Cloud, depth of technology expertise, and IP-driven data and AI solutions. We offer solutions across a wide range of use cases and industries that are tailored to the unique needs of each customer. From advanced cloud security solutions to innovative AI capabilities and data migration products, we have you covered. Our global team of experts are the most reliable, talented and knowledgeable in the industry. About the Role We are seeking an experienced AI/ML professional to lead the design, development, and deployment of Generative AI solutions. This role requires a deep understanding of AI/ML architectures, technical leadership, and the ability to design robust, scalable, and production-ready systems. The ideal candidate will have extensive experience in cloud platforms like GCP and optionally AWS, Azure, or equivalent tools, combined with hands-on expertise in MLOps, containerization, data processing, and advanced model optimization. You will work closely with cross-functional teams, technical leadership, and stakeholders to implement state-of-the-art AI solutions that solve real-world challenges and drive business value. Required Skills & Qualifications 7+ years of experience in AI/ML architecture, model development, and production deployment. Proven expertise in designing, implementing, and scaling Generative AI and LLM-based solutions. Hands-on experience with frameworks like LangChain, Retrieval-Augmented Generation (RAG), and advanced prompting techniques. Proficiency in advanced techniques such as embeddings and Chain-of-Thought (COT) prompting. Experience working with cloud platforms, primarily GCP, with optional experience in AWS or Azure. Strong understanding of MLOps tools, pipelines, and model monitoring in production. Proficiency in Python and SQL for model development and data processing. Experience with data preprocessing, ETL workflows, and feature engineering for AI applications. Strong knowledge of containerization tools like Docker and orchestration platforms like Kubernetes. Solid understanding of CI/CD pipelines for continuous deployment and integration of AI solutions. Experience working with large datasets for structured and unstructured AI applications. Deep experience in model optimization, including hyperparameter tuning and computational efficiency strategies. Proven track record of leading POCs/pilots and scaling them to production-grade deployments. Preferred Skills Familiarity with Reinforcement Learning from Human Feedback (RLHF). Experience with REACT (Retrieve, Extract, Adapt, Construct, Think) frameworks. Strong understanding of orchestration for large-scale production environments. Key Attributes Strong technical leadership and mentorship abilities. Excellent communication and stakeholder management skills. Strategic thinking with the ability to architect scalable and future-ready AI systems. Passion for solving business challenges using state-of-the-art AI techniques. Commitment to staying updated with the latest advancements in AI/ML technologies. Why Join Us? Lead the development of cutting-edge Generative AI solutions for real-world applications. Be part of a collaborative, innovative, and technology-driven team. Opportunity to work with advanced AI/ML tools and frameworks. Drive innovation through technical leadership, mentorship, and solution evangelization. Continuous professional growth with access to the latest AI/ML technologies and frameworks.