1071 Llm Jobs - Page 34

Employment Type:C2H 5+ years of experience in developing AI and Machine learning workloads, especially in the field of Natural Language Processing (NLP) Experience in building Generative AI solutions, virtual assistants and chatbots using Azure Open AI or any similar LLM s (eg: GPT 4.0) Experience in designing and building high-performant AI agents and virtual chatbots using MS Copilot Studio. Expertise in Python programming for Data science workloads Expertise in automation and production deployment of NLP and GenAI models using PowerApps. Excellent communication, interpersonal skills, and motivation to work in high performance and rewarding work environments

Role - AI/ ML Engineer Location - Bangalore We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation. Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). Collaborate with cross-functional teams including product, design, and engineering to bring AI-powered features to production. Conduct research and stay up to date with the latest advancements in generative and agentic AI. Ensure ethical, safe, and responsible AI development practices. Required Qualifications Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. Proficiency in Python and ML frameworks such as PyTorch Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). Experience with AWS and Snowflake services Prior Healthcare experience Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. Excellent problem-solving and communication skills.

Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 4 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models Utilize optimization tools and techniques, including MIP (Mixed Integer Programming. Deep knowledge of classical AIML (regression, classification, time series, clustering) Drive DevOps and MLOps practices, covering CI/CD and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. Kindly apply - https://careers.ey.com/job-invite/1606310/ and Vaishnavi - 9384017399 Contact - vaishnavi@gds.ey.com

Notice - Immediate - 15 days serving. PF Mandatory! Role & responsibilities 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. Proficiency in Python and ML frameworks such as PyTorch Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). Experience with AWS and Snowflake services Prior Healthcare experience Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. Excellent problem-solving and communication skills. -- Thanks & Regards, Karthik Kumar, IT Recruiter SP Software (P) Limited (An ISO, ISMS & CMMI Level-3 Certified company) An SP Group Enterprise. Connect on : linkedin.com/in/b-karthik-kumar-116990179

Role: QA - LLM Engineer / QA Architect Experience: 9 to 15 years Location: Chennai or Bangalore or Hyderabad or Pune or Nagpur Notice: Immediate to 2 weeks Fulltime Job Summary: At Perficient QA LMM Engineer is a technical role that demands creativity and innovation to design effective strategies for testing software products. This position involves developing, executing, and debugging automated test scripts, with a strong focus on prompt engineering, output quality evaluation, and AI-driven implementations. The ideal candidate excels at leading cross-functional teams and translating large language model (LLM) concepts into practical, business-aligned strategies. Required Skills: Proven experience in QA and Testing projects within agile development environments. Strong background in Functional, Regression, Integration, and System Testing. Proficiency in Python and APIs to develop and integrate open-source libraries into unit and integration tests. Hands-on experience with test automation projects using tools such as Postman, Selenium, Cypress, JavaScript, TypeScript, Playwright, JMeter, etc. Solid understanding of Natural Language Processing (NLP) and Large Language Models (LLMs), including architecture knowledge (e.g., GPT) and experience with related toolsets (e.g., OpenAI API). Expertise in using data manipulation libraries to integrate data preprocessing and ingestion workflows into LLM evaluation pipelines. Experience in prompt engineering with focus on evaluating output quality, prompt response structure, metadata, and consistency across diverse use cases. Proven track record of testing and evaluating chatbots and conversational AI products. Familiarity with ethical AI principles, bias mitigation, and responsible model evaluation. Excellent communication skills with the ability to work across cross-functional teams and sharing insights and strategies related to LLMs. If interested, please fill the basic details. Current Location: Preferred Location: Years of Experience Current CTC: Expected CTC: Contact No: Email id: Recent Employer: Notice Period: Graduated Year: Thanks, Prakash Morasa Prakash.Morasa@Perficient.Com

Client Name: WIPRO Location: PAN INDIA Mode: Hybrid Job Description: Experience Required: 10+ years in AI/ML and Solution Architecture roles (Strong programming and system integration background required) Key Responsibilities: Troubleshoot and fix an existing BERT-integrated Outsystems+AMP solution, including scheduler code debugging. Translate complex business requirements into scalable and integrative AI/GenAI solutions. Architect and guide end-to-end implementation of AI systems aligned with Ericssons target architecture (e.g., TAMP). Lead architectural reviews and support development teams to ensure solution compliance. Manage risks associated with AI models via standard risk assessment protocols. Create, maintain, and own architectural documentation and blueprints. Present technical concepts and designs to stakeholders. Collaborate with cross-functional teams including development and platform teams for successful project delivery. Additional Responsibilities: Apply advanced ML algorithms to solve business problems and drive value. Build and deploy data science solutions at scale (AWS Sagemaker, Kubernetes, Docker). Stay updated with current AI trends and contribute to applied research, innovation, and IP creation (e.g., publications, patents). Deliver insights to business leaders to influence decision-making. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or related field. Proven track record in delivering AI/ML solutions (preferably in Finance domain). Recognized experience on data science platforms (e.g., Kaggle achievements is a plus). Strong coding background in Python and experience in cloud-native environments. Good to Have: Domain expertise in Finance. Contributions to open-source or research community (e.g., Kaggle, GitHub, papers).

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.

AI ML Engineer LLM and NLP Job Summary: We are seeking a highly skilled and creative AI ML Engineer – LLM and NLP with deep expertise in artificial intelligence , natural language processing , and prompt design for large language models (LLMs). This role is crucial in crafting, optimizing, and scaling interactions with advanced AI systems to improve performance, user experience, and business outcomes across various applications. Key Responsibilities: Design, test, and refine prompts to optimize performance of LLMs such as GPT-4, Claude, Gemini, and open-source models. Collaborate with cross-functional teams (product, design, engineering, marketing) to develop AI-driven features and tools. Conduct rigorous experimentation and benchmarking of prompts and AI outputs for accuracy, safety, and usability. Automate prompt workflows and integrate prompt chains with APIs and tool stacks. Fine-tune models or build retrieval-augmented generation (RAG) pipelines when needed. Stay current with advancements in generative AI, NLP, and prompt engineering techniques. Contribute to building internal documentation, style guides, and prompt libraries. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Data Science, Linguistics, or a related field (PhD a plus). 2+ years of experience working with LLMs, AI systems, or NLP frameworks. Strong understanding of transformer models, prompt engineering, and zero/few-shot learning. Must have experience with Prompt response and design Experience using OpenAI (ChatGPT, GPT API), Anthropic, Cohere, Hugging Face, or similar platforms. Proficiency in Python and use of AI libraries (LangChain, LlamaIndex, etc.). Excellent writing skills and a sensitivity to language nuance, tone, and context. Analytical thinker with a structured approach to testing and evaluation. Preferred Qualifications: Familiarity with fine-tuning LLMs or using vector databases for retrieval-based prompting. Experience working on AI-driven products in SaaS, education, enterprise, or creative tools. Understanding of prompt security, safety, and mitigation strategies for bias or hallucinations. Background in UX, technical writing, or content design is a plus.

(Notice Period should not be more than 30 Days) Job Summary: We are seeking a Python Backend Engineer with experience in AI/ML workflows , particularly LLMs and LangChain . The role focuses on developing Generative AI-driven applications, integrating LLMs, building data-pipelines, and backend services. Prior experience with generative AI is strongly preferred. Key Responsibilities: Implement LangChain/LangGraph workflows for AI-driven automation. Fine-tune LLMs for business applications. Build and optimize FastAPI-based backend services. Manage data pipelines and storage using PostgreSQL . Deploy and scale AI models using Docker (Kubernetes is a plus). Work with AWS SageMaker, GCP Vertex AI, or Azure ML for model deployment. Improve inference efficiency and reduce latency for real-time AI applications. Required Skills: Strong Python backend development (FastAPI preferred). Experience with LLMs, and prompt engineering . Hands-on experience with LangChain/LangGraph . Knowledge of PostgreSQL and scalable data storage. Familiarity with Docker, Kubernetes for containerization. Exposure to at least one cloud platform (AWS/GCP/Azure). Nice to Have: Experience with vector databases (e.g., Pinecone, FAISS, Qdrant, etc.). Experience with fine-tuning LLMs. Familiarity with micro-services Familiarity with MLOps best practices. Familiarity with any of AWS SageMaker, GCP Vertex AI, or Azure ML for AI model deployment.

JD For Lead Data Scientist Job Location : Indore, Pune, Hyderabad & Delhi Designation: Lead Data Scientist We are seeking a highly motivated and experienced Lead Data Scientist to join our growing team. In this role, you will be responsible for leading complex data science projects, mentoring junior data scientists, and driving the development of innovative solutions that leverage data to achieve business objectives. You will apply your deep expertise in machine learning, statistical modeling, and data analysis to extract actionable insights and drive strategic decision-making. Job Type: Full-time Responsibilities: End-to-end delivery ownership of ML and GenAI use cases. Architect RAG pipelines and build enterprise-scale GenAI accelerators. Collaborate with architects and presales teams. Ensure code modularity, testability, and governance. Required Skills: LangChain, LangGraph, embedding techniques, prompt engineering. Classical ML: XGBoost, Random Forest, time-series forecasting. Knowledge of Python ML stack and FastAPI. Strong understanding of security and cloud optimization.

Job Description At GKM IT, data isnt just numbersits insight, innovation, and the foundation of intelligent systems. We’re looking for a Data Scientist - Senior II who’s ready to go beyond dashboards and dive deep into cutting-edge ML and Generative AI research. In this role, you’ll work on high-impact problems using advanced machine learning techniques. You’ll also play a key role in shaping the next generation of data scientists by mentoring junior team members and interns. If you're excited by LLMs, transformer models, and pushing the boundaries of what's possible with data—this is the place to be. Requirements 5 to 7 years of experience in Data Science or Machine Learning roles Proven ability to work on end-to-end ML projects—from research to production Conduct in-depth machine learning research and stay updated with state-of-the-art advancements Read, interpret, and implement research papers, especially in the Generative AI domain Mentor and guide junior data scientists and interns in executing real-world projects Design and build machine learning and deep learning models to solve complex business challenges Work collaboratively across teams to turn data into decisions, and models into products Strong foundation in Statistics and Probability Advanced proficiency in Python for data science and ML workflows Hands-on experience with key libraries like Scikit-learn, Keras, TensorFlow, and PyTorch Expertise in core ML algorithms like Linear/Logistic Regression, Decision Trees, Gradient Descent, SVMs, etc. Deep familiarity with Transformer architectures and working with Large Language Models (LLMs) Experience with frameworks like Langchain or LlamaIndex for building LLM-based applications Ability to turn theoretical models into production-ready code with clarity and precision Benefits We don’t just hire employees—we invest in people. At GKM IT, we’ve designed a benefits experience that’s thoughtful, supportive, and actually useful. Here’s what you can look forward to: Top-Tier Work Setup You’ll be equipped with a premium MacBook and all the accessories you need. Great tools make great work. Flexible Schedules & Remote Support Life isn’t 9-to-5. Enjoy flexible working hours, emergency work-from-home days, and utility support that makes remote life easier. Quarterly Performance Bonuses We don’t believe in waiting a whole year to celebrate your success. Perform well, and you’ll see it in your pay check—quarterly. Learning is Funded Here Conferences, courses, certifications—if it helps you grow, we’ve got your back. We even offer a dedicated educational allowance. Family-First Culture Your loved ones matter to us too. From birthday and anniversary vouchers (Amazon, BookMyShow) to maternity and paternity leaves—we’re here for life outside work. Celebrations & Gifting, The GKM IT Way Onboarding hampers, festive goodies (Diwali, Holi, New Year), and company anniversary surprises—it’s always celebration season here. Team Bonding Moments We love food, and we love people. Quarterly lunches, dinners, and fun company retreats help us stay connected beyond the screen. Healthcare That Has You Covered Enjoy comprehensive health insurance for you and your family—because peace of mind shouldn’t be optional. Extra Rewards for Extra Effort Weekend work doesn’t go unnoticed, and great referrals don’t go unrewarded. From incentives to bonuses—you’ll feel appreciated.

Job Description At GKM IT, data isnt just numbersits insight, innovation, and the foundation of intelligent systems. We’re looking for a Data Scientist - Senior II who’s ready to go beyond dashboards and dive deep into cutting-edge ML and Generative AI research. In this role, you’ll work on high-impact problems using advanced machine learning techniques. You’ll also play a key role in shaping the next generation of data scientists by mentoring junior team members and interns. If you're excited by LLMs, transformer models, and pushing the boundaries of what's possible with data—this is the place to be. Requirements 5 to 7 years of experience in Data Science or Machine Learning roles Proven ability to work on end-to-end ML projects—from research to production Conduct in-depth machine learning research and stay updated with state-of-the-art advancements Read, interpret, and implement research papers, especially in the Generative AI domain Mentor and guide junior data scientists and interns in executing real-world projects Design and build machine learning and deep learning models to solve complex business challenges Work collaboratively across teams to turn data into decisions, and models into products Strong foundation in Statistics and Probability Advanced proficiency in Python for data science and ML workflows Hands-on experience with key libraries like Scikit-learn, Keras, TensorFlow, and PyTorch Expertise in core ML algorithms like Linear/Logistic Regression, Decision Trees, Gradient Descent, SVMs, etc. Deep familiarity with Transformer architectures and working with Large Language Models (LLMs) Experience with frameworks like Langchain or LlamaIndex for building LLM-based applications Ability to turn theoretical models into production-ready code with clarity and precision Benefits We don’t just hire employees—we invest in people. At GKM IT, we’ve designed a benefits experience that’s thoughtful, supportive, and actually useful. Here’s what you can look forward to: Top-Tier Work Setup You’ll be equipped with a premium MacBook and all the accessories you need. Great tools make great work. Flexible Schedules & Remote Support Life isn’t 9-to-5. Enjoy flexible working hours, emergency work-from-home days, and utility support that makes remote life easier. Quarterly Performance Bonuses We don’t believe in waiting a whole year to celebrate your success. Perform well, and you’ll see it in your pay check—quarterly. Learning is Funded Here Conferences, courses, certifications—if it helps you grow, we’ve got your back. We even offer a dedicated educational allowance. Family-First Culture Your loved ones matter to us too. From birthday and anniversary vouchers (Amazon, BookMyShow) to maternity and paternity leaves—we’re here for life outside work. Celebrations & Gifting, The GKM IT Way Onboarding hampers, festive goodies (Diwali, Holi, New Year), and company anniversary surprises—it’s always celebration season here. Team Bonding Moments We love food, and we love people. Quarterly lunches, dinners, and fun company retreats help us stay connected beyond the screen. Healthcare That Has You Covered Enjoy comprehensive health insurance for you and your family—because peace of mind shouldn’t be optional. Extra Rewards for Extra Effort Weekend work doesn’t go unnoticed, and great referrals don’t go unrewarded. From incentives to bonuses—you’ll feel appreciated.

Job Summary: We are looking for a highly skilled and innovative Python Developer with strong experience in Generative AI to design, develop, and deploy intelligent applications that leverage cutting-edge AI/ML technologies. The ideal candidate should be proficient in Python programming and have hands-on experience with modern Gen AI tools and frameworks (like GPT, LLMs, Diffusion Models). You will collaborate closely with cross-functional teams to deliver robust, scalable, and intelligent solutions. Key Responsibilities: Develop and maintain AI-powered applications using Python and modern Gen AI tools (OpenAI, Hugging Face, LangChain, etc.). Design and implement intelligent agents, data pipelines, and LLM-based applications. Fine-tune and deploy large language models (LLMs) for specific business use cases. Collaborate with data scientists, product managers, and designers to integrate AI capabilities into existing and new systems. Build RESTful APIs and backend services that leverage Gen AI components. Optimize application performance and manage infrastructure on cloud platforms (AWS, GCP, or Azure). Ensure code quality, security, and best practices in AI development. Stay current with advances in AI/ML and contribute to innovation within the team. Required Qualifications: Bachelors or Master’s degree in Computer Science, AI/ML, or related field from a Tier 1 institution. 6+ years of software development experience, with strong proficiency in Python. Hands-on experience with LLMs, prompt engineering, and fine-tuning. Experience with frameworks like Hugging Face Transformers, LangChain, or OpenAI API. Solid understanding of data structures, algorithms, and API development. Familiarity with ML pipelines, model deployment, and vector databases (like FAISS, Pinecone, or Weaviate). Knowledge of cloud platforms and containerization (Docker, Kubernetes). Ability to work in agile, fast-paced environments and drive projects from concept to production. Preferred Qualifications: Contributions to open-source Gen AI or ML projects. Experience with RAG (Retrieval-Augmented Generation) pipelines. Knowledge of NLP, computer vision, or multi-modal AI systems. Familiarity with MLOps and AI observability tools. Published research papers or blogs on AI/ML topics.

About BU: Home to creative hearts and technologists alike, our Digital Media Solutions team is a highly engaged and driven group. They help the worlds leading organizations enhance digital media performance by delivering meaningful human experiences, backed by a visionary product and our data prowess. A full-service powerhouse with multiple verticals and growing teams, these digital disruptors navigate consumer journeys on nearly every consumer device in the US. This team works on Adtech data at internet scale, using the latest innovative open-source technologies. How You’ll Make an Impact: Reporting directly to the Senior Manager of AOPS team, you will play a key role as a Senior Data Analyst in designing and delivering AI-based analytical solutions to support and elevate analytics within Epsilon’s Digital Media Solutions. The primary responsibilities of the Data Intelligence team within AOPS involve design and development of new AI-based automated analytics solutions, tools, and applications, which expands the capabilities of Epsilon’s analytics application platforms and significantly improve the productivity of our analytics teams by streamlining cost, reducing time and effort, and boost client satisfaction. You’ll collaborate closely with Analytics and Engineering teams, fostering multi-functional partnerships to drive impactful results. Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice. What You’ll Achieve: Develop end-to-end AI solutions, from data preprocessing and model training to deployment and monitoring. Optimize models for performance, accuracy, and scalability across various deployment environments. Expand your understanding of the digital marketing retail media landscape and discover how our analytics solutions improve value for Epsilon’s clients. Unlock significant growth opportunities within Data Intelligence and across AOPs, with pathways for leadership and people management. Collaborate closely with Analytics teams to design and develop innovative AI solutions. What You are: A Master’s or Bachelor’s degree in Data Science, Computer Science, or a related technical field. 5-8 years of professional experience in designing and developing AI-based analytical tools and applications, data processing, report automation, and dashboard platforms. Hands-on experience in developing solutions using Large Language Models (LLMs). Ability to perform thorough data driven comparative analysis and demonstrate differences between multiple solution approaches. Proficiency in distributed data platforms (such as Greenplum and Hadoop) and data intelligence tools (Databricks, Tableau), along with development skills in Python and SQL. Ability to create visually compelling, interactive dashboards. Demonstrable ability to collaborate multi-functionally and effectively discuss requirements. Experience in software development within Agile frameworks including related project tracking tool like Git, JIRA, Confluence. Experience in validating AI solutions.

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

Key responsibilities Deliver quality analytics, from data preparation, data analysis, data exploration, data quality assessment, data manipulation, method selection, design & application, insights generation and visualisation Intensive learning and acquisition of key analytical, technical and commercial skills and business knowledge to become a proficient Analyst working under the supervision of the senior analysts/lead analysts. KPIs Timeliness, accuracy, manager and client feedback (Internal and external as required) Collaborate ,with internal stakeholders and demonstrate the ability transform client questions and problems into analytical solutions Active team member in providing the required support to help business understand and optimise use of analytical products and / or solutions Build industry knowledge on the advancements in the field of analytics Comply with the IM Cigna and CHSI Policies, procedures and processes, and continuously demonstrate Cigna Data and Analytics culture. Key activities Working in a team to support end-to-end analytical projects Liaising with stakeholders to determine objectives / scope of upcoming projects Data exploration, cleansing and manipulation Determining appropriate type of analysis and undertaking analysis Extracting insights Clear presentation of insights via spreadsheets, PowerPoint presentations, self-service analytical visualisation tools Participate in client meetings Ongoing stakeholder interaction (internal and external as required) on project progress Contribute to the Feedback process (between stakeholders and the team) to ensure continuous improvement with team Participate and contribute in learning forums such as Analytics Community and sharing knowledge with wider team Experience and education required 2-4+ years experience in a technical analytics environment, carrying out data analytics Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline Knowledge of technical analytics discipline, including data preparation and foundational analytics concepts Experience with successfully managing both internal and external stakeholders, delivering against projects, tasks and activities in a dynamic deadline driven environment Commercial acumen to understand business needs and be able to suggest the commercial impacts of different analytics solutions or approaches Coding and modelling experience in SQL / R / Python and / or Cloud data platforms e.g. AWS Experience in visualization and data management tools is an added advantage Experience in GenAI/ LLMs is an added advantage Experience working with complex datasets Attention to detail Drive for continuous improvement Participation in external data hackathons and competitions will be an added advantage

If you feel like you're part of something bigger, it's because you are. At Amgen, our shared missionto serve patientsdrives all that we do. It is key to our becoming one of the world's leading biotechnology companies. We are global collaborators who achieve togetherresearching, manufacturing, and deliver ever-better products that reach over 10 million patients worldwide. It's time for a career you can be proud of. What you will do Let's do this. Let's change the world. In this vital role we are seeking a strategic and hands-on Specialist Software Engineer / AI Engineer Search to lead the design, development, and deployment of AI-powered search and knowledge discovery solutions across our pharmaceutical enterprise. In this role, you'll manage a team of engineers and work closely with data scientists, oncologists, and domain experts to build intelligent systems that help users across R&D, medical, and commercial functions find relevant, actionable information quickly and accurately. Architect and lead the development of scalable, intelligent search systems leveraging NLP, embeddings, LLMs, and vector search Own the end-to-end lifecycle of search solutions, from ingestion and indexing to ranking, relevancy tuning, and UI integration Build systems that surface scientific literature, clinical trial data, regulatory content, and real-world evidence using semantic and contextual search Integrate AI models that improve search precision, query understanding, and result summarization (e.g., generative answers via LLMs) Partner with platform teams to deploy search solutions on scalable infrastructure (e.g., Kubernetes, cloud-native services, Databricks, Snowflake) Experience in Generative AI on Search Engines Experience in integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement Building and owning the next generation of content knowledge platforms and other algorithms/systems that create high quality and unique experiences. Designing and implementing advanced AI Models for entity matching, data duplication Experience Generative AI tasks such as content summarization, deduping and metadata quality. Researching and developing advanced AI algorithms, including Vision Models for visual content analysis Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging Continually researching current and emerging technologies and proposing changes where needed Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements Manage and mentor a cross-functional engineering team focused on AI, ML, and search infrastructure Foster a collaborative, high-performance engineering culture with a focus on innovation and delivery Work with domain experts, data stewards, oncologists, and product managers to align search capabilities with business and scientific need Basic Qualifications: Degree in computer science & engineering preferred with 912 years of software development experience Proficient in AI Model, NLM, AI, Python, Elasticsearch OR Solr OR OpenSearch, GraphQL, No SQL, Cloud CI/CD build pipelines, API Proven experience building search systems with technologies like Elasticsearch, Solr, OpenSearch, or vector DBs (e.g., Pinecone, FAISS) Hands-on experience with various AI models, GCP Search Engines, GCP Cloud services Strong understanding of NLP, embeddings, transformers, and LLM-based search applications Proficient in programming language AI/ML, Python, GraphQL, Java Crawlers, Java Script, SQL/NoSQL, Databricks/RDS, Data engineering, S3 Buckets, dynamo DB Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Experience deploying ML services and search infrastructure in cloud environments (AWS, Azure, or GCP) Preferred Qualifications: Experience in AI/ML, Java, Rest API, Python Proficient in Databricks, Java Experienced with Fast Pythons API Experience with design patterns, data structures, data modelling, data algorithms Knowledge of ontologies and taxonomies such as MeSH, SNOMED CT, UMLS, or MedDRA Familiarity with MLOps, CI/CD for ML, and monitoring of AI models in production Experienced with AWS /Azure Platform, building and deploying the code Experience in PostgreSQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Buckets Experience in Google cloud Search and Google cloud Storage Experience with popular large language models Experience with LangChain or LlamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Experience with generative AI or retrieval-augmented generation (RAG) frameworks in pharma/biotech setting Experience in Agile software development methodologies Experience in End-to-End testing as part of Test-Driven Development Good to Have Skills Willingness to work on Full stack Applications Experience working with biomedical or scientific data (e.g., PubMed, clinical trial registries, internal regulatory databases) Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, remote teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills

Data Scientist What you will do The Global Quality Analytics and Innovation team leads the digital transformation and innovation effort throughout Amgen's Quality organization. We are at the forefront of developing and rolling out data-centric digital tools, employing automation, artificial intelligence (AI), and generative AI to drive end-to-end quality transformation. We are seeking a highly motivated and experienced Data Scientist with a strong background in Generative AI, Large Language Models (LLMs), and MLOps, along with an understanding for Quality in regulated environments (e.g., GxP). This role will play a key part in designing, developing, and deploying scalable AI/ML solutions to drive innovation, efficiency, and regulatory compliance across the organization. You will collaborate with cross-functional teams, including software engineers, data engineers, business stakeholders, and quality professionals to deliver AI-driven capabilities that support strategic business objectives. The ideal candidate is an analytical thinker with excellent technical depth, communication skills, and the ability to thrive in a fast-paced, agile environment. Key Responsibilities Design, build, and deploy generative AI and LLM-based applications using frameworks such as LangChain, LlamaIndex, and others. Engineer reusable and effective prompts for LLMs like OpenAI GPT-4, Anthropic Claude, etc. Develop and maintain evaluation metrics and frameworks for prompt engineering. Conduct data quality assessments, data cleansing, and ingestion of unstructured documents into vector databases. Build retrieval algorithms for relevant data identification to support LLMs and AI applications. Ensure AI/ML development complies with GxP and other regulatory standards, fostering a strong Quality culture. Partner with global and local teams to support regulatory inspection readiness and future technological capabilities in AI. Share insights and findings with team members in an Agile (SAFe) environment. What we expect of you Basic Qualifications: Master's degree and 2 4 years of experience in Software Engineering, Data Science, or ML Engineering or Bachelor's degree and 3 to 5 years of experience in Software Engineering, Data Science, or ML Engineering or Diploma and 7 to 9 years of experience in Software Engineering, Data Science, or ML Engineering Preferred Qualifications: Experience in developing and deploying LLM applications. Strong foundation in ML algorithms, data science workflows, and NLP. Expertise in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with MLOps tools (e.g., MLflow, CI/CD, version control). Experience with cloud platforms (AWS, Azure, GCP) and tools like Spark, Databricks. Understanding of RESTful APIs and frameworks like FastAPI. Experience with BI and visualization tools (e.g., Tableau, Streamlit, Dash). Knowledge of GxP compliance and experience working in regulated environments. Strong communication skills with the ability to explain complex topics to diverse audiences. High degree of initiative, self-motivation, and ability to work in global teams.

Position : Senior AI Engineer Experience Required : 3+ Years Company : Academian (EdTech Domain) Work Location: Pune Notice Period: we are looking for Immediate - 30 days NP (Candidate having 60 days Notice Period will not be considered) Role Overview We are seeking an experienced Senior AI Engineer to spearhead the development and deployment of cutting-edge AI solutions. The ideal candidate will possess a strong foundation in AI algorithms, hands-on expertise with machine learning and deep learning frameworks, and a forward-thinking approach to leveraging emerging AI technologies like AGENTIC AI, RAG, Graph Databases, and open-source LLMs. This role also involves guiding the team to deliver scalable, efficient, and impactful AI products aligned with the EdTech domain. Key Responsibilities: AI Model Development : Design, train, and deploy AI models for diverse use cases, including: Computer Vision : Image recognition, object detection, segmentation etc. Natural Language Processing (NLP) : Text classification, summarization, question-answering systems etc. Generative AI : Fine-tuning and deploying open-source large language models (LLMs) and Private Models. RAG (Retrieval-Augmented Generation) : Implement AI systems combining retrieval with generative models. Optimize AI models for performance, scalability, and accuracy using core algorithms (regression, KNN, SVM, etc.). Open-Source LLM Development : Develop and fine-tune open-source LLMs to cater to domain-specific needs. Deploy open-source LLMs effectively in production environments, ensuring scalability and low latency. Explore and implement open-source tools and frameworks like Hugging Face, LangChain, and Transformer libraries. Integration & Architecture : Integrate AI solutions with Vector/Graph db for advanced data relationships and queries. Implement and manage MLOps / LLMOps pipelines for efficient deployment, monitoring, and scaling of AI models. Leadership : Mentor and guide junior engineers, fostering innovation and skill development. Collaborate with cross-functional teams, including product management, data engineering, and software development, to align AI strategies with business goals. Infrastructure : Leverage cloud AI platforms (AWS SageMaker, Google Vertex AI, Azure AI) for scalable solutions. Adopt open-source frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face) for experimentation and development. Best Practices : Establish robust practices for coding, testing, and documenting AI solutions. Stay at the forefront of AI research and emerging trends like AGENTIC AI, RAG, and open-source LLM development. Requirements: Experience 3+ years of experience in AI/ML Proven expertise in designing and deploying AI solutions in production environments. Technical Skills Strong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). Hands-on experience with tools like Hugging Face, OpenAI API, and Google AI tools. In-depth understanding of core ML algorithms (regression, KNN, clustering, etc.) and deep learning models . Familiarity with open-source LLM development and deployment Experience with RAG architectures , Graph Databases , and LLMOps practices. Expertise in CI/CD pipelines, containerization (Docker, Kubernetes), and cloud AI platforms (AWS, Google Cloud, Azure). Domain Knowledge Familiarity with EdTech standards (LTI, xAPI, QTI) and adaptive learning systems is a strong plus. Soft Skills Exceptional leadership and team mentoring abilities. Strong problem-solving skills and excellent communication for technical and non-technical stakeholders. Education Bachelors or Masters degree in Computer Science, AI, Data Science, or related fields. Why Join Us: Opportunity to lead AI initiatives that shape the future of education technology. Work in a collaborative, mission-driven environment with a focus on innovation. Engage with impactful projects and cutting-edge AI technologies. Competitive salary, benefits, and opportunities for professional growth.

Job Summary: We are seeking a highly skilled and creative AI ML Engineer LLM and NLP with deep expertise in artificial intelligence, natural language processing, and prompt design for large language models (LLMs). This role is crucial in crafting, optimizing, and scaling interactions with advanced AI systems to improve performance, user experience, and business outcomes across various applications. --- Key Responsibilities: Design, test, and refine prompts to optimize performance of LLMs such as GPT-4, Claude, Gemini, and open-source models. Collaborate with cross-functional teams (product, design, engineering, marketing) to develop AI-driven features and tools. Conduct rigorous experimentation and benchmarking of prompts and AI outputs for accuracy, safety, and usability. Automate prompt workflows and integrate prompt chains with APIs and tool stacks. Fine-tune models or build retrieval-augmented generation (RAG) pipelines when needed. Stay current with advancements in generative AI, NLP, and prompt engineering techniques. Contribute to building internal documentation, style guides, and prompt libraries. --- Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Data Science, Linguistics, or a related field (PhD a plus). 2+ years of experience working with LLMs, AI systems, or NLP frameworks. Strong understanding of transformer models, prompt engineering, and zero/few-shot learning. Must have experience with Prompt response and design Experience using OpenAI (ChatGPT, GPT API), Anthropic, Cohere, Hugging Face, or similar platforms. Proficiency in Python and use of AI libraries (LangChain, LlamaIndex, etc.). Excellent writing skills and a sensitivity to language nuance, tone, and context. Analytical thinker with a structured approach to testing and evaluation. --- Preferred Qualifications: Familiarity with fine-tuning LLMs or using vector databases for retrieval-based prompting. Experience working on AI-driven products in SaaS, education, enterprise, or creative tools. Understanding of prompt security, safety, and mitigation strategies for bias or hallucinations. Background in UX, technical writing, or content design is a plus. ---

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

Looking for Python Data Engineer

Responsibilities: 1. Assist in developing and fine-tuning (LLMs) using deep learning frameworks 2. Work on model training, evaluation, and optimization 3. Support data preprocessing, augmentation, and pipeline setup for large-scale datasets