166 Llama Jobs

Role Overview: As an AI Fine Tuning Expert at our company located in Siruseri, Chennai, your primary responsibility will be to fine-tune LLaMA models on domain-specific data such as finance, healthcare, telecom, legal, etc. You will also be involved in curating, cleaning, and pre-processing datasets for supervised and unsupervised fine-tuning. Additionally, you will implement low-rank adaptation (LoRA), PEFT, QLoRA, or full fine-tuning as required and optimize model training performance using tools/libraries. Evaluating fine-tuned models using appropriate metrics, deploying and integrating models with APIs, RAG pipelines, or inference servers, and conducting safety audits and hallucination checks post-fine-tuning will also be part of your responsibilities. Furthermore, you should be familiar with open-source LLMs beyond LLaMA (Mistral, Falcon, Mixtral, etc.), hands-on with orchestration tools like LangChain, LangGraph, CrewAI, or Flowise, and have knowledge of tokenizers, embeddings, and prompt templates. Proficiency in Python, PyTorch, and model training workflows is essential for this role. Key Responsibilities: - Fine-tune LLaMA models on domain-specific data - Curate, clean, and pre-process datasets for supervised and unsupervised fine-tuning - Implement low-rank adaptation (LoRA), PEFT, QLoRA, or full fine-tuning as per need - Optimize model training performance using tools/libraries - Evaluate fine-tuned models using appropriate metrics - Deploy and integrate models with APIs, RAG pipelines, or inference servers - Use tools like Weights & Biases, LangSmith, or TensorBoard for training monitoring and logging - Conduct safety audits and hallucination checks post-fine-tuning - Familiarity with open-source LLMs beyond LLaMA (Mistral, Falcon, Mixtral, etc.) - Hands-on with orchestration tools like LangChain, LangGraph, CrewAI, or Flowise - Knowledge of tokenizers, embeddings, and prompt templates - Experience with LLaMA (preferably LLaMA 2 / LLaMA 3) and Hugging Face ecosystem - Proficiency in Python, PyTorch, and model training workflows Qualifications Required: - Deep expertise in Fine tuning in LLama, LoRA, QLoRA - Strong command of Python & ML Libraries Please note that the company offers the following benefits: - Work with Top tier AI minds - Access to high-performance infra for model training - Opportunity to drive innovation with real-world applications - Be part of a growing AI team building next-gen tools - Continuous learning and innovation - Competitive salary with growth opportunities,

Job Title: Lead Data Scientist Location: Noida Employment Type: Full-time Responsibilities: Lead and manage a team of data scientists, providing guidance, mentorship, and technical expertise Collaborate with stakeholders to understand business objectives and develop data science strategies aligned with those objectives Design, develop, and implement advanced machine learning and statistical models to solve complex business problems. Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. Good in fine-tuning, and optimization of LLMs like Open AI, Gemini AI, Copilot, and open-source models like LLAMA, DeepSeek, and BERT Hands-on experience in Prompt Engineering and RAG for real-world applications Develop Conversational AI, ChatBots, VoiceBots using modern NLP frameworks like SpaCy, Rasa, LangChain, Hugging Face Use vector databases like Pinecone, Vertex AI, ChromaDB, or SingleStore to manage embeddings at scale Deploy and monitor models on cloud platforms like Azure and GCP Lead client engagements, RFP responses generation, and PoC development for both internal and external stakeholders Provide technical guidance, code reviews, and performance optimization support Explore and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets. Develop predictive/prescriptive models, algorithms, and prototypes to support business. Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations. Play an active role in software development processes. Stay up to date with the latest trends and advancements in data science, machine learning, and AI technologies and identify opportunities to apply them to improve business outcomes. Qualifications: A B.Tech / M.Tech / MBA from a top tier Institute preferably in a quantitative subject 5+ years of hands-on experience in applied Machine Learning, AI and analytics with a proven track record of developing AI/LLM models and algorithms A masters or bachelors degree in data science, Computer Science, Statistics, or a related field Strong programming skills in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) Expertise in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. Strong expertise in Machine Learning, Deep Learning, Data mining, and Statistical concepts and experience in developing models and solutions in these areas Expertise in client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. Strong publication record in top-tier journals and conferences. Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Experience developing software in traditional programming languages (C++, Java, etc..). Excellent written and spoken communication skills About Us E-Solutions is a leading AI consulting firm delivering cutting-edge solutions across recruitment & staffing, IT services, finance, retail, education, and manufacturing. We specialize in building advanced AI/ML products including large-scale recommender systems, LLM-based chatbots, AI-powered resume engines, GenAI copilots, and enterprise-wide automation systems. As part of our growing AI leadership team, we are looking for a Principal Data Scientist who can architect, lead, and implement end-to-end AI/ML solutions using the latest in Generative AI, LLMs, Vector Databases, and NLP frameworks. Reimagine the Future of IT Consulting & Development with ML, GenAI, & Agentic AI At E-Solutions, we empower global businesses by enhancing their IT infrastructure and software capabilities. Over two decades, weve grown into a trusted global partner, operating in 35+ countries with a team of 5,000+ professionals. Our expertise in Managed IT Services and Software Product Engineering, combined with robust testing, cloud solutions and AI/ML/Gen AI in NLP & Computer Vision domains ensures that the enterprise thrives in a competitive digital landscape. E-Solutions has achieved significant success in implementing ML/GenAI/Agentic AI projects like AI enabled matching of professionals profiles based on customer requirements, Agentic AI based end-to-end recruitment platform which will process & summarize customer requirements and AI agent will conduct online interviews and have efficient assessment to retrieve relevant profiles, Conversational AI Engine, Detecting Suspicious Behaviour during interviews etc. Simultaneously, the company successfully executed mergers and acquisitions, driving significant growth and expansion and embarking on a transformative digital journey. Join us to be the part of this innovative journey to build cutting-edge advance Agentic AI platform to deliver AI/ML/GenAI use cases across industries. Show more Show less

As an Associate Consultant/Consultant, you will play a crucial role in designing and implementing AI/ML models and data-driven solutions to tackle intricate challenges in healthcare and life sciences. Your responsibilities will include analyzing large datasets to identify trends, generate insights, and support data-informed decision-making. Additionally, you will collaborate with consultants, data engineers, and scientists to establish end-to-end data pipelines and analytical workflows. Your key responsibilities will involve: - Designing and implementing AI/ML models and data-driven solutions for complex challenges in healthcare and life sciences - Analyzing large datasets to identify trends, generate insights, and support data-informed decision-making - Collaborating cross-functionally with consultants, data engineers, and scientists to build end-to-end data pipelines and analytical workflows - Engaging with clients through interviews, workshops, and presentations to contribute to deliverables and foster strong relationships - Communicating complex analyses into clear, actionable insights for both technical and non-technical stakeholders - Continuously learning about AI/ML advancements, contributing to research and proposals, and mentoring junior team members Qualifications required for this role include proficiency in Machine Learning, Python, Gen AI, and Consulting/Stakeholder Management. Desirable technical skills encompass proficiency in Python, experience with frameworks like TensorFlow, PyTorch, or scikit-learn, working with generative AI models such as GPT, BERT, LLaMA, or other transformer-based architectures, developing, testing, and deploying high-quality AI models and solutions, data manipulation, cleaning, and analysis proficiency, creating clear visualizations using tools like Matplotlib, Seaborn, or Tableau, and familiarity with cloud services like AWS, Google Cloud, or Azure for deploying AI solutions.,

As a Generative AI Expert at Cogniter Technologies, you will be a valuable member of our advanced AI/ML team. Your role will involve designing and delivering scalable AI applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and vector databases. Key Responsibilities: - Develop intelligent applications using models such as GPT-4, LLaMA, Mistral, Falcon. - Architect and implement RAG pipelines for knowledge-driven AI systems. - Build AI agents with frameworks like LangChain. - Integrate vector databases (FAISS, Pinecone, Weaviate) for semantic search. - Deploy and manage real-time inference engines (e.g., Groq). - Optimize LLM performance, token usage, context handling, and prompts. - Collaborate with cross-functional teams to embed AI into production applications. - Stay updated on Generative AI and multimodal AI innovations. If you are passionate about building intelligent systems that solve real-world problems, Cogniter Technologies is looking forward to hearing from you.,

As a Data Science and AI / ML professional at LTIMindtree, you will play a crucial role in leveraging digital technologies to drive innovation and growth for our clients. With over 6 years of experience in the field, you will be expected to have a deep understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Your expertise in data frameworks like Hadoop, business intelligence tools like Tableau, and Cloud native skills will be essential in delivering superior business outcomes. Key Responsibilities: - Utilize your knowledge of SQL and Python, with familiarity in Scala, Java, or C++ as an asset, to develop innovative AI solutions - Apply your analytical mind and strong math skills in statistics and algebra to solve complex business challenges - Work with common data science toolkits such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy, etc., with expertise in at least one being highly desirable - Leverage your experience in NLP, NLG, and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc., to drive transformative projects - Communicate effectively and present your findings with great clarity, thriving in a fast-paced team environment - Utilize AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR, etc., to scale your solutions - Apply your expertise in NoSQL databases such as MongoDB, Cassandra, HBase, Vector databases to handle large datasets effectively - Demonstrate a good understanding of applied statistics skills like distributions, statistical testing, regression, etc., to derive valuable insights for the business Qualifications Required: - More than 6 years of experience in Data Science and AI / ML domain - Excellent understanding of machine learning techniques and algorithms - Experience using business intelligence tools and data frameworks - Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset - Strong math skills (e.g., statistics, algebra) - Experience with common data science toolkits - Great communication and presentation skills - Experience with AIML and Big Data technologies - Experience with NoSQL databases Please note that the mentioned qualifications, skills, and experiences are mandatory for the role at LTIMindtree.,

Role Overview: You will be responsible for designing, building, and deploying Generative AI models using foundational models like GPT, BERT, LLaMA, PaLM, etc. Additionally, you will develop scalable GenAI applications, integrate them with enterprise systems using APIs and SDKs, and fine-tune large language models (LLMs) for domain-specific use cases. You will also design, implement, and manage end-to-end machine learning pipelines on Microsoft Azure, collaborate with data scientists to productionize ML models, and automate deployment and monitoring of models using CI/CD pipelines and Azure DevOps tools. Furthermore, you will ensure security, compliance, and governance of ML workflows and data, troubleshoot and optimize ML workflows, and document architecture, processes, and operational procedures. Key Responsibilities: - Design, build, and deploy Generative AI models using models like GPT, BERT, LLaMA, PaLM - Develop scalable GenAI applications and integrate with enterprise systems using APIs and SDKs - Fine-tune and optimize large language models (LLMs) for domain-specific use cases - Design, implement, and manage end-to-end machine learning pipelines on Microsoft Azure - Collaborate with data scientists to productionize ML models using best practices in Azure MLOps - Automate the deployment and monitoring of models using CI/CD pipelines and Azure DevOps tools - Implement scalable model training, validation, and deployment workflows in the cloud - Monitor model performance in production, retrain models as needed, and ensure security, compliance, and governance of ML workflows and data - Develop Python scripts and tools to automate tasks, troubleshoot and optimize ML workflows, and document architecture, processes, and operational procedures Qualifications Required: - Hands-on experience with transformer-based models (e.g., GPT, BERT, LLaMA, etc.) - Familiarity with tools like LangChain, LlamaIndex, Haystack, etc. - Experience in prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning - Proven experience in MLOps, specifically with Azure services - Strong programming skills in Python - Experience with Hugging Face Transformers, PyTorch or TensorFlow - REST APIs and/or gRPC for model integration - Experience with Azure Databricks, Azure Machine Learning, Azure OpenAI - Familiarity with ML libraries (scikit-learn, TensorFlow, PyTorch) - Experience building and managing CI/CD pipelines for ML models using Azure DevOps or equivalent tools - Building REST APIs for ML inference using frameworks like FastAPI or Flask - Understanding of containerization technologies like Docker and orchestration using Kubernetes - Knowledge of machine learning lifecycle management, model versioning, and deployment strategies - Experience with data engineering, data pipelines, and ETL processes on Azure - Familiarity with monitoring tools and logging frameworks for production systems - Strong problem-solving skills and ability to work in a collaborative, fast-paced environment,

As a Platform Development and Machine Learning expert at Adobe, you will play a crucial role in changing the world through digital experiences by building scalable AI platforms and designing ML pipelines. Your responsibilities will include: - Building scalable AI platforms that are customer-facing and evangelizing the platform with customers and internal stakeholders. - Ensuring platform scalability, reliability, and performance to meet business needs. - Designing ML pipelines for experiment management, model management, feature management, and model retraining. - Implementing A/B testing of models and designing APIs for model inferencing at scale. - Demonstrating proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI. - Serving as a subject matter expert in LLM serving paradigms and possessing deep knowledge of GPU architectures. - Expertise in distributed training and serving of large language models and proficiency in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM. - Demonstrating proven expertise in model fine-tuning and optimization techniques to achieve better latencies and accuracies in model results. - Reducing training and resource requirements for fine-tuning LLM and LVM models. - Having extensive knowledge of different LLM models and providing insights on the applicability of each model based on use cases. - Delivering end-to-end solutions from engineering to production for specific customer use cases. - Showcasing proficiency in DevOps and LLMOps practices, including knowledge in Kubernetes, Docker, and container orchestration. - Deep understanding of LLM orchestration frameworks like Flowise, Langflow, and Langgraph. Your skills matrix should include expertise in LLM such as Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama, LLM Ops such as ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI, Databases/Datawarehouse like DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery, Cloud Knowledge of AWS/Azure/GCP, Dev Ops knowledge in Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus, and Cloud Certifications (Bonus) in AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert. Proficiency in Python, SQL, and Javascript is also required. Adobe is committed to creating exceptional employee experiences and values diversity. If you require accommodations to navigate the website or complete the application process, please contact accommodations@adobe.com or call (408) 536-3015.,

Key Responsibilities: LLM Deployment & Optimization Deploy, fine-tune, and optimize open-source LLMs (e.g., LLaMA, Mistral, CodeS, DeepSeek). Implement quantization (e.g., 4-bit, 8-bit) and pruning for efficient inference on commodity hardware. Build and manage inference APIs (REST/gRPC) for production use. Infrastructure Management Set up and manage on-premise GPU servers and VM-based deployments. Build scalable cloud-based LLM infrastructure using AWS (SageMaker, EC2), Azure ML, or GCP Vertex AI. Ensure cost efficiency by choosing appropriate hardware and job scheduling strategies. MLOps & Reliability Engineering Develop CI/CD pipelines for model training, testing, evaluation, and deployment. Integrate version control for models, data, and hyperparameters. Set up logging, tracing, and monitoring tools (e.g., MLflow, Prometheus, Grafana) for model performance and failure detection. Security, Compliance & Performance Ensure data privacy (FERPA/GDPR) and enforce security best practices across deployments. Apply secure coding standards and implement RBAC, encryption, and network hardening for cloud/on-prem. Cross-functional Integration Work closely with AI solution engineers, backend developers, and product owners to integrate LLM services into the platform. Support performance benchmarking and A/B testing of AI features across modules. Documentation & Internal Enablement Document LLM pipelines, configuration steps, and infrastructure setup in internal playbooks. Create guides and reusable templates for future deployments and models. Key Requirements: Education: Bachelors or Masters in Computer Science, AI/ML, Data Engineering, or related field. Technical Skills: Strong Python experience with ML libraries (e.g., PyTorch, Hugging Face Transformers). Familiar with LangChain, LlamaIndex, or other RAG frameworks. Experience with Docker, Kubernetes, and API gateways (e.g., Kong, NGINX). Working knowledge of vector databases (FAISS, Pinecone, Qdrant). Familiarity with GPU deployment tools (CUDA, Triton Inference Server, HuggingFace Accelerate). Experience: 4+ years in an AI/MLOps role, including experience in LLM fine-tuning and deployment. Hands-on work with model inference in production environments (both cloud and on-prem). Exposure to SaaS and modular product environments is a plus.

Job Description At American Express, our culture is built on a 175-year history of innovation, shared and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role Function Description: With a focus on digitization, innovation, and analytics, the Global Decision Sciences (GDS) team creates central, scalable platforms and customer experiences to help markets across all of these priorities. Charter is to drive scale for the business, and accelerate innovation for both immediate impact as well as long-term transformation of our business. A unique aspect of GDS is the integration of diverse skills across all of its remit. GDS has a very broad range of responsibilities, resulting in a broad range of initiatives around the world. The Amex AI Labs of American Express Corporation is looking for best in class Senior Research Engineers to work in a dynamic and rewarding workplace. Amex AI Labs is currently co-located in Bangalore, Gurgaon and New York and involves dynamic and talented researchers with Ph.D. or Master's degree from top tier institutes in India and abroad having research and product development expertise in AI/ML technologies such as - Deep Learning, Data Science, Natural Language Processing, Cloud Technologies and related technical areas. Going beyond building products and solutions for traditional financial domains such as credit and fraud, the team is also working on challenging research problems in domains such as services, human resource management, travel & lifestyle, and many more. The key goal is to progress the state of the art in science and develop products to solve business problems, in a domain-agnostic manner, for American Express. Purpose of the Role: Collaborate on next generation research services in the areas of Artificial Intelligence (AI) to aid solutions to complex business problems for American Express Responsibilities: Amex AI Labs is looking for individuals with AI R&D background for AI Research & Services team in Bangalore/Gurgaon. The team works on handling capabilities centred on Document Analysis, NLP, AI research from conception to launch. Successful candidates are expected to partner with different business and technology teams in American Express to build capabilities for high impact use-cases. We are looking for extremely agile and entrepreneurial candidates who will help innovate and execute product initiatives across the company. . Lead the ideation and launch of innovative AI/ML capabilities & services . Hands on Deep learning Algorithms like BERT, RNN, LSTM, Transformer, GRU, GAN etc . Understanding Generative AI based closed source models like ChatGPT, Claude, Llama for different usecases . Fine Tuning open source models like Llama and other models on domain specific data . Working with MLOPs capability like MLFlow, AirFlow etc and understanding of deployment capabilities on public cloud (AWS, GCP) and on-prem infrastructure . Technically hands-on working with big data sets using Python/JAVA/SPARK, doing EDA and bringing insights from data . Building POCs basis on research papers analysis while simulating business impact and Transform MVPs to production grade capabilities in collaboration with engineering teams . Authoring and publishing papers, adopting open source tools, presenting in conferences, conducting R&D driving company revenue. . Innovate ways to evangelize the product to drive Amex wide user adoption . Contribute to the strategy and roadmap of AI/ML Initiatives to help drive most impact . Evaluate prospective features in AI Services and ability to prioritise them with changing requirements in the direction of AI adoptions. Leadership Outcomes: . Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings . Demonstrate learning agility, make decisions quickly and with the highest level of integrity . Lead with a digital mindset and deliver the world's best customer experiences every day Minimum Qualifications Strong Internal Candidate Preferred . 5+ years of building machine learning models using advance AI techniques 4-5 years of experience in working with product/engineering/automation development teams in a fast paced, complex, and dynamic environment. . Experience in leveraging Agile, Scrum or other rapid application development methodologies Undergraduate/Master's/PHD in Computer Science/ Data Science/ Statistics/ Mathematics, MBA from institutes of global repute. Preferred Qualifications Technical Skills: 1. Good coding skills in Python, SPARK, Hive, GIT, API 2. Good Understand of Deep Learning Algorithms 3. Superior math & programming skills and hands-on experience in machine learning tools 4. Understanding of how CI/CD works 5. Exposure to Public Cloud Deployment (AWS, GCP) 6. Proficient in statistical techniques 7. Background in Natural Language Processing - with hands on experience in frameworks like langraph, langchain, vector databases, Agentic frameworks Behavioral Areas: Enterprise Leadership Behaviors . Set The Agenda: Put Enterprise Thinking First, Lead with an External Perspective . Bring Others With You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential . Do It The Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

You are a Machine Learning & Generative AI Engineer responsible for designing, building, and deploying advanced ML and GenAI solutions. This role presents an exciting opportunity to work on cutting-edge AI systems, such as LLM fine-tuning, Transformer architectures, and RAG pipelines, while also contributing to traditional ML model development for decision-making and automation. With a minimum of 3 years of experience in Machine Learning, Deep Learning, and AI model development, you are expected to demonstrate a strong proficiency in Python, PyTorch, TensorFlow, Scikit-Learn, and MLflow. Your expertise should encompass Transformer architectures (such as BERT, GPT, T5, LLaMA, Falcon) and attention mechanisms. Additionally, experience with Generative AI, including LLM fine-tuning, instruction tuning, and prompt optimization is crucial. You should be familiar with RAG (Retrieval-Augmented Generation) embeddings, vector databases (FAISS, Pinecone, Weaviate, Chroma), and retrieval workflows. A solid foundation in statistics, probability, and optimization techniques is essential for this role. You should have experience working with cloud ML platforms like Azure ML / Azure OpenAI, AWS SageMaker / Bedrock, or GCP Vertex AI. Familiarity with Big Data & Data Engineering tools like Spark, Hadoop, Databricks, and SQL/NoSQL databases is required. Proficiency in CI/CD, MLOps, and automation pipelines (such as Airflow, Kubeflow, MLflow) is expected, along with hands-on experience with Docker and Kubernetes for scalable ML/LLM deployment. It would be advantageous if you have experience in NLP & Computer Vision areas, including Transformers, BERT/GPT models, YOLO, and OpenCV. Exposure to vector search & embeddings for enterprise-scale GenAI solutions, multimodal AI, Edge AI / federated learning, RLHF (Reinforcement Learning with Human Feedback) for LLMs, real-time ML applications, and low-latency model serving is considered a plus. Your responsibilities will include designing, building, and deploying end-to-end ML pipelines covering data preprocessing, feature engineering, model training, and deployment. You will develop and optimize LLM-based solutions for enterprise use cases, leveraging Transformer architectures. Implementing RAG pipelines using embeddings and vector databases to integrate domain-specific knowledge into LLMs will also be part of your role. Fine-tuning LLMs on custom datasets for domain-specific tasks and ensuring scalable deployment of ML & LLM models on cloud environments are critical responsibilities. Collaborating with cross-functional teams comprising data scientists, domain experts, and software engineers to deliver AI-driven business impact is expected from you.,

AI Architect Agentic AI Platform Role Overview We are seeking an experienced AI Solution Architect to lead the design and development of an Agentic AI platform for the Mortgage Industry. The ideal candidate will combine deep technical expertise in AI/ML and LLMOps with strong domain knowledge in financial services, mortgage processes, and regulatory compliance. This role requires defining the multi-agent orchestration framework, integration strategy, and ensuring scalability, security, and reliability of the platform. Location: Hyderabad (Preferred)/ Remote Experience: 12+ Years Key Responsibilities Architect end-to-end Agentic AI ecosystem for mortgage workflows (KYC, credit scoring, risk evaluation, loan origination, compliance checks). Design the multi-agent orchestration layer (task delegation, planning, monitoring, feedback loops). Define LLMOps/MLOps pipelines for continuous training, testing, and deployment of AI agents. Ensure platform scalability, fault tolerance, and secure integration with core banking systems, CRMs, and external APIs (credit bureaus, KYC vendors). Select and optimize AI frameworks (LangChain, LlamaIndex, Haystack, DSPy, Hugging Face). Work with compliance and legal teams to ensure GDPR, CCPA, and financial regulations (FCRA, AML/KYC, Basel III) are adhered to. Mentor technical teams and establish best practices for AI agent design and governance. Required Skills & Experience At least 5 years in AI/ML Solution architecture & proven experience architecting AI-powered enterprise platforms, preferably in financial services/mortgage. Strong knowledge of LLMs, Retrieval-Augmented Generation (RAG), fine-tuning, embeddings, and vector databases. Experience with cloud platforms (Azure AI/ML, AWS Sagemaker, GCP Vertex AI) and containerized deployments (Docker, Kubernetes). Hands-on with LangChain, OpenAI, Anthropic, Cohere, or open-source LLMs (LLaMA, Falcon, Mistral). Expertise in MLOps/LLMOps, CI/CD pipelines, observability, and model governance. Familiarity with mortgage lifecycle systems (loan origination systems, underwriting platforms, credit risk engines). Strong communication skills and ability to work cross-functionally. Show more Show less

One of the Healthcare AI Product Start up based out of Hyderabad is looking out for a AI Architect. If you are looking for a challenging environment and would like to be a part of building AI products, let us connect and discuss. Position: AI Architect Experience: 5+ yrs Qualification: B.Tech / B.E from Tier 1 Academic Institutions Job Type: Permanent & Hybrid Model Job Location: Hyderabad Position Overview We are seeking an experienced AI Architect to lead the design, development, and deployment of large-scale AI solutions. The ideal candidate will bridge the gap between business requirements and technical implementation, with deep expertise in generative AI and modern MLOps practices. Key Responsibilities: AI Solution Design & Implementation: • Architect end-to-end AI systems leveraging large language models and generative AI technologies • Design scalable, production-ready AI applications that meet business objectives and performance requirements • Evaluate and integrate LLM APIs from leading providers (OpenAI, Anthropic Claude, Google Gemini, etc.) • Establish best practices for prompt engineering, model selection, and AI system optimization Model Development & Fine-tuning: • Fine-tune open-source models (Llama, Mistral, etc.) for specific business use cases • Implement custom training pipelines and evaluation frameworks • Optimize model performance, latency, and cost for production environments • Stay current with latest model architectures and fine-tuning techniques Infrastructure & Deployment: • Deploy and manage AI models at enterprise scale using containerization (Docker) and orchestration (Kubernetes) • Build robust, scalable APIs using FastAPI and similar frameworks • Design and implement MLOps pipelines for model versioning, monitoring, and continuous deployment • Ensure high availability, security, and performance of AI systems in production Business & Technical Leadership: • Collaborate with stakeholders to understand business problems and translate them into technical requirements • Provide technical guidance and mentorship to development teams • Conduct feasibility assessments and technical due diligence for AI initiatives • Create technical documentation, architectural diagrams, and implementation roadmaps Required Qualifications: Experience • 5+ years of experience in machine learning engineering or data science • 1+ years of hands-on experience building, deploying, and managing generative AI models in production • Proven track record of delivering large-scale ML solutions Technical Skills: • Expert-level proficiency with LLM APIs (OpenAI, Claude, Gemini, etc.) • Hands-on experience fine-tuning transformer models (Llama, Mistral, etc.) • Strong proficiency in FastAPI, Docker, and Kubernetes • Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers) • Proficiency in Python and modern software development practices • Experience with cloud platforms (AWS, GCP, or Azure) and their AI/ML services Core Competencies: • Strong understanding of transformer architectures, attention mechanisms, and modern NLP techniques • Experience with MLOps tools and practices (model versioning, monitoring, CI/CD) • Ability to translate complex business requirements into technical solutions • Strong problem-solving skills and architectural thinking Preferred Qualifications: • Experience with vector databases and retrieval-augmented generation (RAG) systems • Knowledge of distributed training and model parallelization techniques • Experience with model quantization and optimization for edge deployment • Familiarity with AI safety, alignment, and responsible AI practices • Experience in specific domains (finance, healthcare, legal, etc.) • Advanced degree in Computer Science, AI/ML, or related field Please Note: We are looking out for candidates with shorter notice period.

You will implement proof of concepts in Engineering Systems and other innovation field topics where ML / AI technologies can be applied, as well as realize ML / AI product features. Your responsibilities will include coding features, POCs, and/or bug-fixing to deliver solutions adhering to coding and quality guidelines. Additionally, you will be accountable for the implementation of features and bug-fixing, ensuring timely delivery of high-quality solutions. Your role will involve identifying and implementing unit and integration tests to ensure that the solution meets customer requirements and quality and security standards of the product. You will also ensure the integration and submission of solutions into the software configuration management system within the committed delivery timelines. Experience with Large Language Models (LLMs) such as BERT and LLAMA will be beneficial. You will be involved in Language Model Development by utilizing off-the-shelf LLM services like Azure OpenAI for integrating LLM capabilities into applications and developing new language models. Model Training and Evaluation will also be part of your responsibilities, involving training and fine-tuning language models using appropriate machine-learning frameworks and tools. Education: B.E. / B. Tech / MCA/ M. Tech (Computer Science). Experience: - 3+ years of experience in: - Strong programming ability in scripting and object-oriented programming languages, particularly Python. - Strong working knowledge in Deep learning and ML Algorithms. - Strong working knowledge in Tensor Flow, Sci-kit Learn, KERAS, Caffe, Pandas, NumPy, PyTorch, Matplotlib. - Knowledge in Natural Language Processing (NLP) & Deep Learning. - Software Design & Development - OOPS/OOAD methodologies.,

As a Technical Lead/Manager in the AI Center of Excellence (CoE) team at our organization, you will be responsible for leading the team and driving the implementation of AI-powered solutions. Your role will involve coordinating with multiple teams, collaborating closely with stakeholders, and overseeing the technical aspects of AI/ML projects to ensure the effective application of generative AI technologies in our product suite. With 6-8 years of experience in AI/ML technologies, including at least 3 years in a leadership role, you will possess a strong background in AI/ML model development and deployment, especially within the financial services sector. Your proficiency in Python, R, and other AI-related programming languages, along with experience in managing cross-functional teams in an Agile environment, will be key assets in this role. Additionally, your strong understanding of data science, cloud computing, and AI/ML frameworks such as TensorFlow and PyTorch will be crucial for success. Your responsibilities will include leading the AI CoE team to ensure alignment with business objectives, overseeing the design, development, and deployment of AI/ML models for financial use cases, collaborating with product managers and business stakeholders to deliver actionable AI solutions, providing guidance to junior team members, managing project timelines and resources, and collaborating with various engineering teams to integrate AI solutions seamlessly. Staying updated with advancements in AI/ML technologies and best practices will also be part of your role. At GlobalLogic, we offer a culture that prioritizes caring, continuous learning and development opportunities, interesting and meaningful work on impactful projects, balance and flexibility in work-life integration, and a high-trust environment built on integrity and ethics. Join us as we continue to engineer impact for our clients globally and shape the digital landscape with innovative solutions. GlobalLogic, a Hitachi Group Company, has been a trusted digital engineering partner for leading companies since 2000, driving the digital revolution by creating innovative digital products and experiences. Our collaboration with clients focuses on transforming businesses and industries through intelligent products, platforms, and services.,

One of the Healthcare AI Product Start ups based out of Hyderabad is looking out for a AI Architect. If you are looking for a challenging environment and would like to be a part of building AI products in a start up environment, let us connect and discuss. Title: AI Engineer Experience: 3 to 5 yrs Qualification: B.Tech / M.Tech Job Location: Hyderabad Job Type & Model: Permanent & Hybrid Position Overview: We are looking for a skilled AI Engineer to develop, implement, and optimize AI solutions using cutting-edge generative AI technologies. This role focuses on hands-on development of AI applications, model integration, and production deployment while working closely with our AI architecture team. Key Responsibilities: AI Application Development: Build and maintain AI-powered applications using LLM APIs (OpenAI, Claude, Gemini, etc.) Implement prompt engineering strategies and optimize model interactions for performance and cost Develop custom AI workflows including retrieval-augmented generation (RAG) systems Create robust error handling, fallback mechanisms, and response validation systems Model Implementation & Fine-tuning: Fine-tune open-source models (Llama, Mistral, etc.) for specific use cases and domains Implement training pipelines using modern frameworks (PyTorch, Hugging Face Transformers) Conduct model evaluation, A/B testing, and performance optimization Manage model versioning and experiment tracking Production Deployment & Operations: Deploy AI models and applications using FastAPI, Docker, and Kubernetes Build scalable microservices architecture for AI applications Implement monitoring, logging, and alerting for production AI systems Optimize inference performance, latency, and resource utilization Integration & Data Engineering: Integrate AI capabilities into existing systems and workflows Build data pipelines for model training and inference Work with vector databases and embedding systems Implement caching strategies and data preprocessing pipelines Experience: 3+ years of experience in machine learning or software engineering 1+ years of hands-on experience with generative AI and LLM integration Demonstrated experience deploying ML models in production environments Technical Skills: Proficiency with LLM APIs and SDKs (OpenAI, Anthropic, Google, etc.) Experience fine-tuning transformer models using Hugging Face, PyTorch, or similar Strong proficiency in Python and modern software development practices Hands-on experience with FastAPI, Docker, and containerization Experience with Kubernetes for container orchestration Knowledge of RESTful API design and microservices architecture Core Competencies: Understanding of transformer architectures, embeddings, and attention mechanisms Experience with prompt engineering and model optimization techniques Familiarity with MLOps practices and tools (model versioning, monitoring, CI/CD) Strong debugging and troubleshooting skills Ability to work with large-scale data and distributed systems

As an intern at Akaike Technologies, you will be engaged in a variety of exciting tasks related to working with Large Language Models (LLMs) such as GPT, LLaMA, or Mistral to develop real-world applications. Your responsibilities will include developing effective prompts to enhance AI-generated outputs, implementing Retrieval-Augmented Generation (RAG) for improved knowledge retrieval, and applying classic ML techniques (classification, regression, clustering) using tools like scikit-learn, TensorFlow, or PyTorch. You will also be involved in working with Hugging Face Transformers for pre-trained model adaptation, developing RESTful APIs to seamlessly integrate AI models into applications, and collaborating with APIs from OpenAI, Cohere, Hugging Face, Google AI for model interactions. Additionally, you will implement frameworks like LangChain for LLM-driven applications, deploy AI apps using backend frameworks like Flask, FastAPI, and utilize lightweight frontend technologies such as Streamlit, Gradio, etc. Your role will also include tasks such as collecting and preprocessing both structured and unstructured data for ML training, applying NLP techniques like tokenization, named entity recognition, and text summarization, alongside having a good understanding of SQL querying and PySpark. You will deploy models using Docker and cloud platforms such as AWS, GCP, Azure, ensuring clear documentation of workflows, experiments, and findings, and sharing insights with the team on emerging AI techniques and tools. Join us at Akaike Technologies, where we harness the power of Computer Vision, NLP, Predictive Analytics, and Generative AI to deliver intelligent solutions that redefine what's possible. Over the years, we have amazed clients with our innovative AI solutions that have revolutionized industries, enhanced efficiency, and pushed the boundaries of technological advancement.,

Job Title: Senior Data Scientist AI/ML & GenAI Location: Gurugram Department: Data Intelligence Digital IT Reports To: Data Science Manager Role Overview We are looking for a highly skilled and intellectually curious Senior Data Scientist with 7+ years of experience in applying advanced machine learning and AI techniques to solve complex business problems. The ideal candidate will have deep expertise in Classical Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI (GenAI), along with strong hands-on coding skills and a proven track record of delivering impactful data science solutions. This role requires a blend of technical excellence, business acumen, and collaborative mindset. Key Responsibilities Design, develop, and deploy ML models using classical algorithms (e.g., regression, decision trees, ensemble methods) and deep learning architectures (CNNs, RNNs, Transformers). Build NLP solutions for tasks such as text classification, entity recognition, summarization, and conversational AI. Develop and fine-tune GenAI models for use cases like content generation, code synthesis, and personalization. Architect and implement Retrieval-Augmented Generation (RAG) systems for enhanced contextual AI applications. Collaborate with data engineers to build scalable data pipelines and feature stores. Perform advanced feature engineering and selection to improve model accuracy and robustness. Work with large-scale structured and unstructured datasets using distributed computing frameworks. Translate business problems into data science solutions and communicate findings to stakeholders. Present insights and recommendations through compelling storytelling and visualization. Mentor junior data scientists and contribute to internal knowledge sharing and innovation. Required Qualifications 7+ years of experience in data science, machine learning, and AI. Strong academic background in Computer Science, Statistics, Mathematics, or related field (Masters or PhD preferred). Proficiency in Python, SQL, and ML libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face). Experience with NLP and GenAI tools (e.g., Azure AI Foundry, Azure AI studio, GPT, LLaMA, LangChain). Hands-on experience with Retrieval-Augmented Generation (RAG) systems and vector databases. Familiarity with cloud platforms (Azure preferred, AWS/GCP acceptable) and MLOps tools (MLflow, Airflow, Kubeflow). Solid understanding of data structures, algorithms, and software engineering principles. Experience with Azure, Azure Copilot Studio, Azure Cognitive Services Experience with Azure AI Foundry would be a strong added advantage Preferred Skills Exposure to LLM fine-tuning, prompt engineering, and GenAI safety frameworks. Experience in domains such as finance, healthcare, retail, or enterprise SaaS. Contributions to open-source projects, publicatio s, or patents in AI/ML. Soft Skills Strong analytical and problem-solving skills. Excellent communication and stakeholder engagement abilities. Ability to work independently and collaboratively in cross-functional teams. Passion for continuous learning and innovation. Show more Show less

As a Python Developer at our company, you will be responsible for developing, deploying, and optimizing Python-based applications for Visual AI tasks such as image classification, object detection, and image generation. Your expertise in Django and Flask, along with your proficiency in Django Rest Framework (DRF), will be crucial in this role. Additionally, you will work with machine learning concepts and tools like PyTorch, TensorFlow, and transformer architectures. Your key responsibilities will include designing and implementing machine learning models using frameworks like TensorFlow, PyTorch, and OpenCV. You will collaborate with cross-functional teams to integrate Visual AI capabilities into applications and conduct exploratory data analysis for AI/ML tasks. Optimizing models for performance, scalability, and accuracy will also be a part of your role. To excel in this position, you must demonstrate a strong proficiency in Python with experience in data science and machine learning. Hands-on experience with frameworks like TensorFlow, PyTorch, OpenCV, and scikit-learn is essential. You should have a good understanding of computer vision techniques, such as object detection, image segmentation, and image generation, and be familiar with Generative AI techniques like GANs, VAEs, diffusion models, and LLaMA. Moreover, experience with data manipulation tools like Pandas, NumPy, and visualization tools like Matplotlib and Seaborn is required. Knowledge of cloud platforms (AWS, GCP, or Azure) and tools like Docker for model deployment will be beneficial. Familiarity with model optimization techniques like transfer learning, fine-tuning, and LoRA is also desirable. In this role, you will have the opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions in the field of Visual AI. Your ability to collaborate with teams, optimize models, and present findings to stakeholders will be key to your success in this dynamic position.,

We are searching for a highly skilled and experienced Python Developer to become a valuable part of our dynamic team. The ideal candidate should possess a robust background in developing web applications utilizing Django and Flask, along with expertise in deploying and managing applications on AWS. It is essential to have proficiency in Django Rest Framework (DRF), a solid grasp of machine learning concepts, and practical experience with tools such as PyTorch, TensorFlow, and transformer architectures. Your primary responsibilities will include developing, deploying, and optimizing Python-based applications for Visual AI tasks like image classification, object detection, and image generation. You will also be tasked with designing, implementing, and fine-tuning machine learning models using frameworks like TensorFlow, PyTorch, and OpenCV. Additionally, you will work with diffusion models, GANs, VAEs, and other generative models for tasks like text-to-image and image-to-image generation. Collaboration with cross-functional teams to integrate Visual AI capabilities into applications, conducting exploratory data analysis, and implementing feature engineering for AI/ML tasks will also be part of your role. Furthermore, you will optimize models for performance, scalability, and accuracy, as well as document and present findings, tools, and best practices to technical and non-technical stakeholders. The ideal candidate should demonstrate strong proficiency in Python with experience in data science and machine learning. Hands-on experience with frameworks like TensorFlow, PyTorch, OpenCV, and scikit-learn is required. A good understanding of computer vision techniques such as object detection, image segmentation, and image generation is essential. Familiarity with Generative AI techniques including GANs, VAEs, diffusion models, and LLaMA is advantageous. Experience with data manipulation tools like Pandas, NumPy, and visualization tools like Matplotlib and Seaborn is beneficial. Knowledge of cloud platforms (AWS, GCP, or Azure) and tools like Docker for model deployment, as well as familiarity with model optimization techniques including transfer learning, fine-tuning, and LoRA, will be a plus. This position offers an exciting opportunity to work with cutting-edge technologies in a collaborative environment. If you are passionate about Python development, machine learning, and Visual AI tasks, we encourage you to apply for this role and be a part of our innovative team.,

Job Description Responsibilities: Design, build, and deploy Generative AI models using foundational models like GPT, BERT, LLaMA, PaLM, etc. Develop scalable GenAI applications and integrate with enterprise systems using APIs and SDKs. Fine-tune and optimize large language models (LLMs) for domain-specific use cases. Design, implement, and manage end-to-end machine learning pipelines on Microsoft Azure, leveraging services like Azure Machine Learning, Azure DevOps, and Kubernetes. Collaborate with data scientists to productionize ML models using best practices in Azure MLOps . Automate the deployment and monitoring of models using CI/CD pipelines and Azure DevOps tools. Implement scalable model training, validation, and deployment workflows in the cloud. Monitor model performance in production and retrain models as needed to maintain accuracy and reliability. Ensure security, compliance, and governance of ML workflows and data. Develop Python scripts and tools to automate repetitive tasks and improve operational efficiency. Troubleshoot and optimize ML workflows for performance and cost-effectiveness. Document architecture, processes, and operational procedures. Qualification: Hands-on experience with transformer-based models (e.g., GPT, BERT, LLaMA , etc.) Familiarity with tools like LangChain, LlamaIndex, Haystack, etc. Experience in prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning. Proven experience in MLOps , specifically with Azure services. Strong programming skills in Python Experience with Hugging Face Transformers, PyTorch or TensorFlow. REST APIs and/or gRPC for model integration. Experience with Azure Databricks, Azure Machine Learning, Azure OpenAI Familiarity with ML libraries (scikit-learn, TensorFlow, PyTorch). Experience building and managing CI/CD pipelines for ML models using Azure DevOps or equivalent tools. Building REST APIs for ML inference using frameworks like FastAPI or Flask. Understanding of containerization technologies like Docker and orchestration using Kubernetes. Knowledge of machine learning lifecycle management, model versioning, and deployment strategies. Experience with data engineering, data pipelines, and ETL processes on Azure. Familiarity with monitoring tools and logging frameworks for production systems. Strong problem-solving skills and ability to work in a collaborative, fast-paced environment. Technical Skills: GenAI models: GPT, BERT, LLaMA, PaLM Framework: PyTorch or TensorFlow Cloud Platforms: Microsoft Azure (Azure ML, Azure Databricks, AKS, Azure DevOps) Programming Languages: Python CI/CD Tools: Azure DevOps, GitHub Actions, Jenkins Containerization: Docker, Kubernetes Data Storage & Processing: Azure Blob Storage, Azure SQL, Azure Data Factory Monitoring & Logging: Azure Monitor, Application Insights, Prometheus, Grafana Mandatory skills GPT/BERT/LLaMA, MLOps , Python, Azure Databricks, Azure Machine Learning, Azure OpenAI, GenAI applications, Transformer-based models Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Job Description - Grade Specific Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.

Greetings ! At present we have an urgent leadership opening with an esteemed client. Position : AI Architect - AVP / SAVP Job Location : Noida / Gurgaon / Pune / Bangalore ( Hybrid Model ) Mandatory Skills Required - AI Architect, Data Science, GenAI, Vertex AI, Python, NLP, Deep Learning Frameworks Designation- AI Architect Role- Permanent/ Full time Experience- 11-16 years Location- Noida/ Gurgaon/ Pune/ Bangalore Shift- 12:00 PM to 10PM (10 Hours Shift. Also depends on the project/work dependencies) Working Days- 5 days Work Mode- Hybrid Mandatory Skills- Transformer Models - either finetune or training on Open-Source Transformer based models. Build and fine-tune large-scale language models using PyTorch and modern libraries. Should have done projects on LLM, NLP, LLAMA, Hugging face, RAG, Gen AI. Hands-on on Python coding experience. Machine Learning or Deep Learning. Good experience into Agentic AI and should have done end -to-end projects in Gen AI. Skills: 1. Proven experience as an NLP and ML Engineer or similar role 2. Have worked on open-source LLM (like Falcon and llama) for various text generation task 3. Have done SFT or PEFT on decoder based LLM for a specific text generation task 4. Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling 5. Have worked on BERT models for intent classifiers and entity extraction techniques 6. Ability to write robust and testable code 7. Experience with machine learning frameworks (PyTorch) 8. Knowledge of Python, Groovy Script, BPMN 9. An analytical mind with problem-solving abilities 10. Degree in Computer Science, Mathematics, Computational Linguistics or similar field Responsibilities: 1. Study and transform data science prototypes 2. Design NLP applications 3. Use effective text representations to transform natural language into useful features 4. Find and implement the right algorithms and tools for NLP tasks 5. Develop NLP systems according to requirements 6. Train the developed model and run evaluation experiments 7. Perform statistical analysis of results and refine models 8. Extend ML libraries and frameworks to apply in NLP tasks 9. Remain updated in the rapidly changing field of machine learning Plz reply to the following queries along with your updated resume : Current Organization : Current Designation : Reason for change : Reporting to : Date of Birth : Qualification : PAN Number : Current CTC (Fixed + Variable) : CTC Expectation : Any other offer in hand or in process : If yes, Please mention the offer details : Official Notice Period : Are you serving the Notice period : Mention your Last Working Date : Present Team size : Maximum Team Size handled : Location Staying at : Location Interested in (Noida / Gurgaon / Pune / Bangalore) : Technical Skills Expertise : Domains worked on : Total years of experience : Yrs of exp as AI Architect : Yrs of exp in Data Scientist role : Yrs of exp in Artificial Intelligence : Yrs of exp in GenAI : No. of end -to-end projects done in Gen AI : Yrs of exp in Transformer based models : Yrs of exp in Open-Source Transformer based models : Mention the Transformer based models worked on (like BERT, T5, RoBerta) : Yrs of exp in Large Language Models (LLMs) : Yrs of exp in NLP : Yrs of exp into Hugging face : Yrs of exp in Retrieval-Augmented Generation (RAG) : Yrs of exp in Deep Learning Framework : Mention the deep learning frameworks you have worked on : Yrs of exp in Machine learning : Yrs of exp in open-source LLM (like Falcon and llama) : Mention the Open-source transformer models worked on : Yrs of exp in Pytorch : Yrs of exp in Tensorflow, Keras : Yrs of exp in Python : How much would you rate yourselves in Python on a scale of 1-10 (10 being the highest) : Yrs of exp in cloud platforms (AWS, Azure, GCP) : Ever interviewed by EXL SERVICE in past : About client : Client has been 25+ years in existence with 29000+ employees globally and deals in: Digital Intelligence: Outcomes: Real digital transformation creates deeper customer experiences, faster speed to market, growing revenues and profitability. Everything we do is outcome oriented, ensuring the business is not only transformed, its built to stay ahead. Context: Were experts in more than technology and advanced analytics; we’re experts in our clients’ industries and businesses. This enables us to look deeper to identify and capitalize on opportunities to outperform. Orchestration: Our digital specialists understand both technology and the context in which it is applied. This enables to orchestrate complex and interdependent technologies – AI, robotics, analytics, machine learning and more – to deliver targeted solutions. Operations: BFSI (Banking, Financial service & Insurance) IT (Product Based Organization) & Consulting, BPO Analytics: Acquired Inductis. 2000+ employees in analytics division. Ranked 2nd best Analytics organization across the world. 22 Offices in India : 6 in Noida, 3 in Gurgaon / Pune / Chennai / Kochi each and 1 in Jaipur / Bangalore / Hyderabad / Ahmedabad. Thanks and Regards, Rashmi K. Vishwakarma M : 9833965671 / 9321442718 rashmi@ultimatesearch.in Ultimate Search Pvt. Ltd. Life is too short for a wrong job

You should have hands-on experience in big data processing, mining, and visualization. Design and develop deep learning systems using frameworks like TensorFlow and PyTorch. Efficiently plan and continuously improve existing systems. Provide team mentorship and excel in innovating, scaling, adapting, addressing data drift, and improving system performance. Research and apply advanced AI/ML techniques, including Generative AI models (e.g., GPT, LLaMA) and NLP architectures. Experience in on-premises/Hadoop ecosystem is essential. For Principal Data Engineering roles, a minimum of 13+ years of experience is required, while for Data Engineering roles, 5+ years of experience is necessary. Proven expertise in AI/ML, NLP, and proficiency in Python, Java, Pyspark, Apache Spark, Hadoop, Cassandra, TensorFlow, PyTorch, Scikit-learn, Django, Flask, Numpy, and Pandas are expected. Knowledge of data structures, SQL, MongoDB, multi-threading, RESTful APIs, and Power BI for data visualization is crucial. Familiarity with networking, post-production support, and lifecycle management of ML systems is beneficial. Exceptional problem-solving skills, strong leadership capabilities, and excellent communication skills are required. A strong understanding of statistics, probability, algorithms, and optimization techniques is essential. Experience deploying ML applications on GCP, Azure, or AWS is preferred.,

About Impelox: At Impelox, you are dedicated to empowering businesses with intelligent SaaS solutions. The AI-driven contextual intelligence provided by Impelox drives success and fosters innovation, revolutionizing industries with tailored, advanced AI solutions on a secure, scalable platform. Why Join Us Be at the forefront of AI advancements, working with the latest LLMs and Generative AI models. Contribute to building an AI-driven chat platform, integrating third-party tools and APIs. Collaborate with AI experts and industry leaders to enhance your skills. Engage with customers to understand their requirements and mentor junior developers. Are You Ready If you are an experienced developer passionate about AI-driven applications and interested in building next-gen conversational AI solutions, apply now! Join us in shaping the future of AI-driven communication. Job Summary: As a Senior Full Stack Developer at Impelox, you will play a key role in designing and developing an AI-powered chat platform. Your responsibilities will include working with cutting-edge AI technologies, integrating third-party tools, ensuring high performance and scalability, interacting with customers to understand their needs, and providing mentorship to junior developers. What You Will Do: - Develop and maintain AI-driven chat applications using React, Node.js, MySQL/MongoDB, JavaScript, HTML/CSS, and RESTful APIs. - Integrate latest LLMs and Generative AI models like OpenAI GPTs, Llama, Mistral, Gemini, etc., to enhance chatbot interactions. - Work with third-party APIs and AI tools for seamless integrations. - Optimize application performance, scalability, and user experience. - Identify and resolve technical challenges to ensure system stability. - Participate in code reviews, provide feedback, and mentor junior developers. - Stay updated with advancements in AI, NLP, and Generative AI technologies. - Interact with customers to gather requirements and provide technical insights. Who You Are: - Bachelor's degree in Computer Science, IT, or a related field. - 3+ years of experience as a Full Stack Developer. - Hands-on experience with React, Node.js, and database management (MySQL/MongoDB). - Interested in exploring LLMs, NLP, and Generative AI models. - Experience integrating third-party AI APIs (e.g., OpenAI, Anthropic, Hugging Face, etc.). - Passion for AI-driven applications and solving complex problems. - Excellent communication, teamwork, and problem-solving skills. - Ability to thrive in a fast-paced and agile development environment. - Willingness to interact with customers and mentor junior developers. Bonus Skills: - Experience with Angular, AWS, GCP, or cloud-based AI deployments. - Knowledge of Vector Databases, Retrieval-Augmented Generation (RAG), or AI model fine-tuning.,

About us: Suhora is a cutting-edge technology firm that leverages satellite imagery, big data, and AI to solve problems surrounding Earth. We specialize in offering integrative all-weather, day-and-night solutions by combining Synthetic Aperture Radar (SAR), Optical, and Thermal data. Our mission is to utilize technology and our expertise in geospatial intelligence to make this world a better and more sustainable place. At Suhora, we are committed to delivering innovative solutions that help our clients make data-driven decisions, whether its for environmental monitoring, agriculture, disaster response, or infrastructure development. We believe that our expertise can make a tangible difference in addressing global challenges, and we're looking for individuals who are passionate about technology and sustainability to join our team. For more detailed information, visit our website: www.suhora.com Job Summary: We are seeking a Machine Learning Engineer with a focus on Large Language Models (LLMs), Natural Language Processing (NLP), and advanced techniques such as LLAMA and Retrieval-Augmented Generation (RAG). The ideal candidate will have hands-on experience in leveraging cutting-edge LLMs, including Meta's LLAMA models, and applying RAG to develop powerful AI systems. You will work on projects that combine NLP techniques with geospatial data, building systems that can process, analyze, and generate insights from geospatial intelligence applications. Responsibilities: - Develop LLMs & NLP Models: - Design, develop, and fine-tune LLAMA models, RAG architectures, and other LLM techniques (e.g., GPT, BERT) to process and generate text-based insights from geospatial data, reports, and metadata. - Build and integrate NLP models capable of performing information retrieval, extraction, and classification tasks from geospatial data reports and documents. - Implement Retrieval-Augmented Generation (RAG): - Design and implement RAG systems that enhance the performance of LLMs by integrating external knowledge sources for generating context-aware, accurate, and useful results. - Fine-tune LLAMA or other LLMs with RAG architectures to provide responses based on external retrieval of relevant information from large, unstructured datasets. - Text Analytics & Information Extraction: - Implement advanced NLP techniques for extracting key insights from unstructured geospatial text, such as location-based data, satellite data descriptions, and environmental reports. - Integrate LLMs with structured geospatial data, such as GeoTIFFs, shapefiles, or GIS data formats, to provide actionable insights. - Model Training and Optimization: - Train large-scale LLAMA models and RAG systems to handle diverse text datasets and optimize them for performance in real-time applications. - Ensure that models are efficient, scalable, and capable of processing massive volumes of geospatial-related text data. - Cross-Functional Collaboration: - Work closely with data scientists, software engineers, and domain experts to integrate NLP and LLM models into production pipelines. - Continuously contribute to R&D efforts, exploring and implementing new advancements in LLAMA, RAG, and NLP technologies. Required Skills & Qualifications: Experience: - 3-5 years of experience in machine learning, NLP, and LLMs, with specific hands-on experience working with LLAMA models or similar LLM technologies (e.g., GPT, BERT). - Experience in implementing Retrieval-Augmented Generation (RAG) techniques for improving model performance. Technical Expertise: - Strong proficiency in Python, and experience with NLP libraries and frameworks such as Hugging Face Transformers, spaCy, PyTorch, TensorFlow, or Torch. - Hands-on experience with LLAMA (Meta AI) or similar transformer-based models. - Proficiency in text processing techniques, including tokenization, named entity recognition (NER), sentiment analysis, and semantic search. Problem Solving & Collaboration: - Ability to analyze complex NLP tasks and translate them into scalable and efficient model solutions. - Strong collaboration skills to work with engineers and domain experts in delivering end-to-end NLP solutions. Preferred Skills: - Experience with geospatial data or knowledge of geospatial intelligence. - Familiarity with cloud platforms for model deployment (AWS, Google Cloud, Azure). - Knowledge of data augmentation, model fine-tuning, and reinforcement learning techniques. - Experience with Docker and Kubernetes for deploying machine learning models. Education: Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related fields.,

AI Engineer Position We are seeking a highly skilled and experienced AI Engineer to join our innovative team in Bengaluru. This role is perfect for someone with a passion for artificial intelligence and machine learning, looking to apply their skills in llm, rag, gpt, and llama within a dynamic work environment. With an experience range of 3-5 years, the ideal candidate will have a proven track record in developing and implementing AI models that drive efficiency and innovation. Key Responsibilities Design, develop, and deploy AI models using core skills such as llm, rag, gpt, and llama. Collaborate with cross-functional teams to understand business requirements and integrate AI solutions that meet those needs. Stay abreast of developments in AI technologies and continuously evaluate them for potential application within our projects. Analyze large data sets to identify patterns, trends, and insights that can be leveraged through AI. Ensure the scalability and reliability of AI systems while adhering to best practices in data security and privacy. Provide technical guidance and mentorship to junior team members on AI-related projects. Troubleshoot complex issues arising during the development lifecycle of AI models. Required Skills Expertise in LLM Finetuning Expertise in artificial intelligence methodologies with specific skills in llm, rag, gpt, and llama. Strong programming skills in Python or other relevant languages used in AI development. Demonstrated experience with machine learning libraries and frameworks. A solid understanding of data structures, algorithms, and software engineering principles relevant to AI. The ability to work effectively in a fast-paced environment while managing multiple priorities. Experience Range 2-5 years Job Timing This is a full-time position Job Type The role is an in-office position located in Bengaluru. Candidates should be prepared for a dynamic work environment that fosters creativity, innovation, and growth. If you are passionate about leveraging artificial intelligence to solve complex problems and drive innovation, we would love to hear from you. Please submit your resume along with any relevant project examples or portfolios for consideration. Join us to embark on exciting projects that push the boundaries of what&aposs possible with AI! LLM Finetuning Show more Show less