571 Llm Jobs - Page 19

Role & responsibilities We are seeking a highly skilled and motivated candidate with expertise in programming, problem-solving, and Machine Learning (ML) and Artificial Intelligence (AI). The ideal candidate will have strong programming skills, with a particular focus on Python, and experience using key data manipulation libraries such as Pandas and NumPy. Candidate must be experienced to fine tune / Optimize the open-source models like whisper, to run on mobile platforms (which have limited memory and CPU/GPU), without much guidance / supervision. Looking at people who have already tuned Gen AI models for a specific use case.' Candidate should have a solid background in Machine Learning, particularly in classification and retrieval tasks, as well as hands-on experience with Large Language Models (LLMs), including fine-tuning for specific use cases, Retrieval-Augmented Generation (RAG), foundation models APIs, and Prompt Engineering. Familiarity with Faiss (Facebook AI Similarity Search) for efficient nearest-neighbor search in retrieval tasks is highly desirable. A strong understanding of Natural Language Processing (NLP) is preferred, with experience in audio/voice manipulation tasks, specifically text-to-speech (TTS) and speech-to-text (STT). Familiarity with the Hugging Face Transformers and Datasets libraries is highly desirable. Proficiency in using tools such as Hydra for configuration management and Weights & Biases for tracking experiments is essential. In addition to technical expertise, the ideal candidate will have experience with Git and GitHub for version control and a proven ability to collaborate effectively in a team environment, particularly when working on shared codebases and remote projects. Strong data management and manipulation skills are crucial, as is experience working on remote servers to develop and deploy machine learning models.

Position Title: Specialist- Data Science Business Title: Engineer II- Data Science We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities: Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: Bachelors degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong understanding of machine learning, deep learning and Generative AI concepts. Preferred Skills: Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision(yolo ), Deep Learning stack, NLP using python Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock OR Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain OR LlamaIndex OR RAG ) Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Expertise in building enterprise grade, secure data ingestion pipelines (ETL Gluejob, Quicksight) for unstructured data including indexing, search, and advance retrieval patterns. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals ( VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud, Mistral, etc.), including multimodal inputs and outputs. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. ** Title/Designation of role are as per Global Team Job profiling. Local Titles are adjusted for understanding of regional candidates applying for job in India. Designations are dependent on years of relevant work experience and performance during interviews.

AI/ML Developer Work from office hybrid mode Pune Long-term contract Deep expertise in back-end development (Python/Django) Extensive experience working with LLMs and transformer models (BERT) Expertise in search or recommendation systems, data classification, or LTR models Expertise in building AI/ML applications Exceptional attention to detail and a relentless willingness to learn

Title : LLM Ops Engineer Location : Noida Experience : 11-15 Years Description & Requirements : Position Summary : - LLMOps(Large language model operations) Engineer will play a pivotal role in building and maintaining the infrastructure and pipelines for our cutting-edge Generative AI applications, establishing efficient and scalable systems for LLM research, evaluation, training, and fine-tuning. - Engineer will be responsible for managing and optimizing large language models (LLMs) across various platforms. - This position is uniquely tailored for those who excel in crafting pipelines, cloud infrastructure, environments, and workflows. - Your expertise in automating and streamlining the ML lifecycle will be instrumental in ensuring the efficiency, scalability, and reliability of our Generative AI models and associated platform. - LLMOps engineer's expertise will ensure the smooth deployment, maintenance, and performance of these AI platforms and powerful large language models. - You will follow Site Reliability Engineering & MLOps principles and will be encouraged to contribute your own best practices and ideas to our ways of working. - Reporting to the Head of Cloud Native operations, you will be an experienced thought leader, and comfortable engaging senior managers and technologists. You will engage with clients, display technical leadership, and guide the creation of efficient and complex products/solutions. Key Responsibilities : Technical & Architectural Leadership : - Contribute to the technical delivery of projects, ensuring a high quality of work that adheres to best practices, brings innovative approaches and meets client expectations. Project types include following (but not limited to) : - Solution architecture, Proof of concepts (PoCs), MVP, design, develop, and implementation of ML/LLM pipelines for generative AI models, encompassing data ingestion, pre-processing, training, deployment, and monitoring. - Automate ML tasks across the model lifecycle. - Contribute to thought leadership across the Cloud Native domain with an expert understanding of advanced AI solutions using Large Language Models (LLM) & Natural Language Processing (NLP) techniques and partner technologies. - Collaborate with cross-functional teams to integrate LLM and NLP technologies into existing systems. - Ensure the highest levels of security and compliance are maintained in all ML and LLM operations. - Stay abreast of the latest developments in ML and LLM technologies and methodologies, integrating these innovations to enhance operational efficiency and model effectiveness. - Collaborate with global peers from partner ecosystems on joint technical projects. This partner ecosystem includes Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell / VMware etc. Service Delivery : - Provide a technical hands-on contribution. Create scalable infra to support enterprise loads (distributed GPU compute, foundation models, orchestrating across multiple cloud vendors, etc.) - Ensuring the reliable and efficient platform operations. - Apply data science, machine learning, deep learning, and natural language processing methods to analyse, process, and improve the model's data and performance. - Create and optimize prompts and queries for retrieval augmented generation and prompt engineering techniques to enhance the model's capabilities and user experience w.r.t Operations & associated platforms. - Client-facing influence and guidance, engaging in consultative client discussions and performing a Trusted Advisor role. - Provide effective support to Sales and Delivery teams. - Support sales pursuits and enable revenue growth. - Define the modernization strategy for client platform and associated IT practices, create solution architecture and provide oversight of the client journey. Innovation & Initiative : - Always maintain hands-on technical credibility, keep in front of the industry, and be prepared to show and lead the way forward to others. - Engage in technical innovation and support position as an industry leader. - Actively contribute to sponsorship of leading industry bodies such as the CNCF and Linux Foundation. - Contribute to thought leadership by writing Whitepapers, blogs, and speaking at industry events. - Be a trusted, knowledgeable internal innovator driving success across our global workforce. Client Relationships : - Advise on best practices related to platform & Operations engineering and cloud native operations, run client briefings and workshops, and engage technical leaders in a strategic dialogue. - Develop and maintain strong relationships with client stakeholders. - Perform a Trusted Advisor role. - Contribute to technical projects with a strong focus on technical excellence and on-time delivery. Mandatory Skills & Experience : - Expertise in designing and optimizing machine-learning operations, with a preference for LLMOps. - Proficient in Data Science, Machine Learning, Python, SQL, Linux/Unix shell scripting. - Experience on Large Language Models and Natural Language Processing (NLP), and experience with researching, training, and fine-tuning LLMs. Contribute towards fine-tune Transformer models for optimal performance in NLP tasks, if required. - Implement and maintain automated testing and deployment processes for machine learning models w.r.t LLMOps. - Implement version control, CI/CD pipelines, and containerization techniques to streamline ML and LLM workflows. - Develop and maintain robust monitoring and alerting systems for generative AI models ensuring proactive identification and resolution of issues. - Research or engineering experience in deep learning with one or more of the following : generative models, segmentation, object detection, classification, model optimisations. - Experience implementing RAG frameworks as part of available-ready products. - Experience in setting up the infrastructure for the latest technology such as Kubernetes, Serverless, Containers, Microservices etc. - Experience in scripting / programming to automate deployments and testing, worked on tools like Terraform and Ansible. Scripting languages like Python, bash, YAML etc. - Experience on CI/CD opensource and enterprise tool sets such as Argo CD, Jenkins (others like Jenkins X, Circle CI, Argo CD, Tekton, Travis, Concourse an advantage). - Experience with the GitHub/DevOps Lifecycle - Experience in Observability solutions (Prometheus, EFK stacks, ELK stacks, Grafana, Dynatrace, AppDynamics) - Experience in at-least one of the clouds for example - Azure/AWS/GCP - Significant experience on microservices-based, container-based or similar modern approaches of applications and workloads. - You have exemplary verbal and written communication skills (English). Able to interact and influence at the highest level, you will be a confident presenter and speaker, able to command the respect of your audience. Desired Skills & Experience : - Bachelor level technical degree or equivalent experience; Computer Science, Data Science, or Engineering background preferred; Master's Degree desired. - Experience in LLMOps or related areas, such as DevOps, data engineering, or ML infrastructure. - Hands-on experience in deploying and managing machine learning and large language model pipelines in cloud platforms (e.g., AWS, Azure) for ML workloads. - Familiar with data science, machine learning, deep learning, and natural language processing concepts, tools, and libraries such as Python, TensorFlow, PyTorch, NLTK etc. - Experience in using retrieval augmented generation and prompt engineering techniques to improve the model's quality and diversity to improve operations efficiency. Proven experience in developing and fine-tuning Language Models (LLMs). - Stay up-to-date with the latest advancements in Generative AI, conduct research, and explore innovative techniques to improve model quality and efficiency. - The perfect candidate will already be working within a System Integrator, Consulting or Enterprise organisation with 8+ years of experience in a technical role within the Cloud domain. - Deep understanding of core practices including SRE, Agile, Scrum, XP and Domain Driven Design. Familiarity with the CNCF open-source community. - Enjoy working in a fast-paced and dynamic environment using the latest technologies

Need Immediate joiners AWS Bedrock, AI ML Engineer Requirements Verified Experience - 6 - 10 years Need strong AWS AI/ML engineers with expertise in Sage Maker, Lambda, ECS, API Gateway, LangChain, and Vector Databases LLM experience mandatory Strong AWS Experience must have 1 to 2 years hands on in AWS bedrock must have - Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn). - Experience with NLP techniques and libraries (spaCy, Hugging Face Transformers). - Knowledge of cloud-based AI platforms (AWS SageMaker, Google AI). Please inform candidates that it's a long term project for one of our sister company ATBZStrong Hands on AWS, AWS Bedrock(1-2 years), AI/ML, LLM is must have, no levy in the skills . CTC _ open for the right candidate Work mode_ Flexible Best Regards, Uma SW +91 98 22 780 197 uma@starlighthr.com I https://starlighthr.com/

Position Summary : The AI Engineer with GenAI expertise is responsible for developing advanced technical solutions and integrating cutting-edge generative AI technologies. This role requires a foundational understanding of modern technical and cloud-native practices, AI, DevOps, and machine learning technologies, particularly in generative models. You will support a wide range of customers through the "Ideation to MVP" journey, demonstrating enthusiasm for learning and contributing to project success. Mandatory Skills & Experience : - A passionate developer with 3+ years of experience in Java, Python, and Kubernetes, comfortable working as part of a paired/balanced team. - Foundational experience in software development, with exposure to AI/ML technologies. - Proficiency in GenAI frameworks : Experienced in using GenAI frameworks and libraries such as OpenAI API. - Prompt engineering : Experience in designing and optimizing prompts for various AI models to achieve desired outputs and improve model performance. - Experience developing solutions that leverage cloud-native technologies-featuring container-based, microservices-based approaches; based on applying 12-factor principles to application engineering. - Strong verbal and written communication skills (English). - Positive and solution-oriented mindset. - Experience delivering Agile and Scrum projects in a Jira-based project management environment. Desired Skills & Experience : - Understanding of NLP techniques and tools, including tokenization, embeddings, transformers, and language models. - AI ethics and bias mitigation: Knowledgeable about ethical considerations in AI and experienced in implementing strategies to mitigate bias in AI models. - Knowledgeable about vector databases, LLMs, and integrating with such models. - Proficient with Kubernetes and other cloud-native technologies, including experience with commercial Kubernetes distributions (e.g, Red Hat OpenShift, VMware Tanzu, Google Anthos, Azure AKS, Amazon EKS, Google GKE). - Understanding of core practices including DevOps, SRE, Agile, Scrum, Domain-Driven Design, and familiarity with the CNCF open-source community. - Recognized with cloud and technical certifications, ideally including AI/ML specializations from providers like Google, Microsoft, AWS, Linux Foundation, IBM, or Red Hat. Verifiable Certification : - At least one recognized cloud professional / developer certification (AWS/Google/Microsoft). Key Responsibilities : - Develop solutions leveraging GenAI technologies, integrating advanced AI capabilities into cloud-native architectures to enhance system functionality and scalability. - Lead the design and implementation of GenAI-driven applications, ensuring seamless integration with microservices and container-based environments. - Create solutions that fully leverage the capabilities of modern microservice and container-based environments running in public, private, and hybrid clouds. - Contribute to HCL thought leadership across the Cloud Native domain with an expert understanding of open-source technologies (e.g, Kubernetes/CNCF) and partner technologies. - Collaborate on joint technical projects with partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware. Service Delivery : - Engineer innovative GenAI solutions from ideation to MVP, ensuring high performance and reliability within cloud-native frameworks. - Optimize AI models for deployment in cloud environments, balancing efficiency and effectiveness to meet client requirements and industry standards. - Assess existing complex solutions and recommend appropriate technical treatments to transform applications with cloud-native/12-factor characteristics. - Refactor existing solutions to implement a microservices-based architecture. Client Relationships : - Provide expert guidance to clients on incorporating GenAI and machine learning into their cloud-native systems, ensuring best practices and strategic alignment with business goals. - Conduct workshops and briefings to educate clients on the benefits and applications of GenAI, establishing strong, trust-based relationships. - Perform a trusted advisor role, contributing to technical projects (PoCs and MVPs) with a strong focus on technical excellence and on-time delivery. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,

Role & responsibilities Language: Python, SQL, Javascript LLMs: Knowledge of multiple LLMs (Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama). Experience in model fine-tuning and optimization LLMOps: Experience on LLMOps (ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI); the candidate should have experience in some of these Cloud: AWS/Azure/GCP; the candidate should have working knowledge on some of these (certification would be preferred) DB: (DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery); the candidate should have experience on some of these Dev Ops: (Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus); the candidate should have knowledge on some of these. Band: U3 Competency : AI

Role Title AI Developer Function Software Development Reporting Senior Manager Location & Shift Noida (11am-8pm should be flexible) Role purpose We are looking for an experienced and highly skilled Data Scientist to join our growing team. The ideal candidate will play a crucial role in developing and deploying advanced data-driven solutions, leveraging AI, machine learning, and data analysis to drive product innovation in the fintech space. This role involves end-to-end project management, from ideation and model development to deployment, with a strong focus on generative AI, NLP, OCR, predictive modelling, cloud deployment, and model optimization. Key Accountabilities AI/ML Model Development: Design, develop, and deploy machine learning models to enhance our suite of fintech solutions. Work on NLP projects for text summarization, retrieval, and regulatory compliance checks using Langchain. Utilize generative AI technologies for innovative solutions in image generation, LLM fine-tuning, and chatbots Data Processing & Analysis: Integrate and deploy tools like Simplemma, Google OCR, and SpaCy for multilingual text processing and analysis. Implement solutions for processing diverse datasets, including video and images, ensuring comprehensive analysis and scrutiny. Big Data & Cloud Deployment: Deploy and manage scalable data solutions on cloud platforms (AWS, Azure), optimizing data pipelines and model performance. Use PySpark and AWS EMR clusters to handle and analyze large datasets efficiently. Implement CI/CD pipelines for seamless and automated model deployment. Model Optimization & Performance: Optimize machine learning and deep learning models for performance and scalability. Conduct hyperparameter tuning and model validation to ensure high accuracy and efficiency. Implement model retraining strategies to maintain performance with evolving data. OCR Technologies & Data Classification: Develop and integrate OCR-based solutions for automated document processing and data extraction. Apply classification techniques to categorize financial data and ensure data quality. Demand Forecasting: Employ a robust mix of machine learning, deep learning, and statistical models to customize demand projections for specific customer requirements. Use data classification techniques to refine financial models and forecasts. Predictive Analytics & Automation: Build predictive models to optimize CRM workflows, task management, and resource allocation. Automate data pipeline processes and create scalable solutions for data integration and analysis. Data-Driven Business Insights: Collaborate with cross-functional teams to derive actionable insights from large datasets. Develop dashboards and reporting tools to support decision-making. Stakeholder Engagement: Engage with key stakeholders to understand requirements and present data-driven solutions. Mentor junior data scientists and manage project timelines to ensure the delivery of high-quality AI products. Role Specific Requirements Qualification Proven experience in AI/ML model development, with a focus on generative AI, NLP, and big data processing. Experience in a fintech environment or working on financial products is a plus. Leadership experience, managing a team of data scientists or developers. Bachelors or Masters in data science, Computer Science, Statistics, or a related field. Technical Skills: Programming & Libraries: Python, R, SQL, TensorFlow, PyTorch, Hugging Face, Langchain, SpaCy, PySpark. Cloud Platforms: AWS (including AWS EMR), Azure, and experience with cloud-native solutions for model deployment. Model Optimization: Techniques for hyperparameter tuning, model validation, and performance monitoring. OCR Technologies: Google OCR, Tesseract, and other image-to-text conversion tools. Big Data: Hadoop, Spark, data processing on distributed systems. CI/CD & MLOps: Setting up pipelines for automated model deployment and monitoring. Other Skills: Strong analytical and problem-solving abilities. Excellent communication skills for effective stakeholder management. Project management skills, with the ability to drive efficiency and meet deadlines. Data classification and demand forecasting expertise. Others Be aware of GLOBAL FPO information security, business continuity, quality and other ISO or equivalent policies/ industry standards and discharge duties against them as appropriate. Identify risks related to process and information security and treat/ mitigate the same as appropriate.

Job Description AI Architect with at least 5 years of experience designing and deploying enterprise-grade AI/ML solutions , specializing in Databricks, MosaicML, and Large Language Models (LLMs ). Expertise in building scalable AI architectures that integrate deep learning, natural language processing (NLP), and MLOps best practices to enable real-time decision-making and predictive insights. Proven ability to collaborate with cross-functional teams to operationalize AI models while ensuring data security, scalability, and performance in cloud environments. Key Qualifications AI/ML Architecture & Deployment: Extensive experience in designing and deploying end-to-end AI pipelines using Databricks and MosaicML. Expertise in model training, fine-tuning, and inferencing of LLMs, ensuring optimal performance and cost-efficiency in production environments. Databricks Expertise: Strong hands-on experience with Databricks for data processing, model training, and model serving. Proficient in using Databricks Workflows, MLflow, Delta Lake, and advanced SQL/Scala/PySpark for building scalable AI pipelines. MosaicML Proficiency: Proven expertise in utilizing MosaicML for fine-tuning and training foundation models, leveraging model compression and distributed training techniques to reduce latency and enhance model performance. LLM & NLP Expertise: In-depth knowledge of Large Language Models (LLMs), including OpenAI, GPT models, BERT, LLaMA, and custom fine-tuning techniques. Experienced in building conversational AI, semantic search, text classification, and other NLP-based applications. Model Optimization & MLOps: Experience in implementing MLOps pipelines with tools like MLflow, Kubeflow, and Airflow to automate model training, versioning, deployment, and monitoring. Skilled in optimizing model inference with techniques such as quantization, pruning, and distributed inferencing. Data Pipeline & Feature Engineering: Expert in designing feature stores and scalable data pipelines using Apache Spark, Databricks Delta, and AWS Glue to facilitate efficient feature generation, model retraining, and data versioning. Cloud AI/ML Infrastructure: Proficiency in AWS, Azure, and GCP with expertise in setting up AI environments using EC2, S3, EKS, Lambda, and SageMaker. Ability to design fault-tolerant and highly available AI/ML infrastructure on cloud platforms. AI Governance & Security: Experience in implementing AI governance frameworks, ensuring compliance with AI ethics, bias mitigation, and explainability. Knowledge of data privacy, GDPR, and model interpretability in enterprise environments. Preferred Experience Experience with RAG (Retrieval Augmented Generation) pipelines and semantic search Familiarity with vector databases such as Pinecone, FAISS, and Weaviate Exposure to LangChain, Hugging Face, and OpenAI APIs Experience in building custom AI/LLM solutions tailored to enterprise use cases Technical Skills AI/ML Platforms: Databricks, MosaicML, SageMaker, Azure ML, GCP AI Programming & Frameworks: Python, PyTorch, TensorFlow, Hugging Face, PySpark, SQL MLOps & Orchestration: MLflow, Kubeflow, Airflow, Docker, Kubernetes, CI/CD LLM & NLP Models: GPT-3/4, BERT, LLaMA, Falcon, BLOOM, T5, LangChain Databricks Tools: Databricks SQL, Delta Lake, AutoML, Unity Catalog Cloud Platforms: AWS (S3, EC2, Lambda), Azure, GCP Version Control & Automation: Git, Jenkins, Terraform, CloudFormation Certifications (Preferred but not mandatory) Databricks Certified Professional Data Engineer/AI Engineer MosaicML Certification in Model Training & Optimization AWS Certified Machine Learning Specialty Microsoft Certified: Azure AI Engineer Associate

We are hiring for Lead Data Scientist (GENAI)-Immediate Joiners_Chennai Location Interested Candidates can share CV at umaparvathyc@hexaware.com MUST HAVE: 1.5+ years experience-Good understanding of GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. 4.5+years -in machine learning, deep Learning architecture, NLP, and OCR. Primary Skills Good understanding of GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. Hands-on experience with Deep Learning architecture, NLP, and OCR. Python Fast API experience, SDA based implementations for all the APIs Architect should be hand-on to review the code developed by the developers Should be able to take and work on spike stories assigned to him/her.

Machine Learning Engineer - NLP & MLOps Experience: 1-4 Years Exp Salary : INR 25,00,000-33,00,000 / year Preferred Notice Period : Within 30 Days Shift : 9:00AM to 6:00PM IST Opportunity Type: Onsite (Hyderabad) Placement Type: Contractual Contract Duration: Full-Time, Indefinite Period (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : and Falcon, ChatGPT, LLAMA, LLM, MLOps, neural networks., Pytorch, TensorFlow, NLP, Python Good to have skills : Communication, AWS, Azure, Docker, GCP, Kubernetes Vujis (One of Uplers' Clients) is Looking for: Machine Learning Engineer/Data Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Were offering an exciting opportunity for an Machine Learning Engineer/Data Engineer to join our dynamic team at Vujis, a company focused on simplifying international trade. We are a data company working with some of the largest import/export and manufacturing companies in the Asia & Europe. Our data company helps manufacturing companies find new customers, analyze competitors, and source new suppliers internationaly. Key Responsibilities: Design, build, and maintain scalable data pipelines for diverse datasets. Develop and implement advanced Natural Language Processing (NLP) models and neural network architectures. Perform data cleaning, preprocessing, and augmentation to ensure high-quality inputs for machine learning models. Collaborate with cross-functional teams to deploy machine learning models in production environments, adhering to MLOps best practices. Stay updated with the latest advancements in large language models, including ChatGPT, LLAMA, and Falcon, and explore their applications. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Minimum of 1.5-2 years of professional experience in machine learning, with a focus on NLP and neural networks. Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or similar. Demonstrated experience in designing and managing scalable data pipelines. Strong understanding of MLOps principles and experience deploying models in production environments. Familiarity with large language models like ChatGPT, LLAMA, Falcon, etc. Preferred Skills: Experience with cloud platforms (AWS, Azure, GCP) for machine learning deployments. Knowledge of containerization and orchestration tools such as Docker and Kubernetes. Strong problem-solving abilities and excellent communication skills. Why work with us? Opportunity to work on groundbreaking projects in AI and machine learning. Mentorship & Learning Work closely 1-1 with the founders of the company. Career Growth There's room to be promoted. Friendly Culture Join a supportive team that values your input and contributions. Exciting Industry If you're interested in international trade & export which is very outdated and needs to be improved with tech. Attractive Salary We pay well for high performance individuals. If you're passionate about advancing NLP and machine learning technologies and meet the above qualifications, we'd love to hear from you. Engagement Type: Direct-hire Job Type: Permanent Location: Onsite ( Hyderabad) Working time: 9:00 AM to 6:00 PM IST Interview Process -R1 Cultural discussion R2 Technical interview with (Senior Data Scientist) How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Hiring Partner: Vujis is a cutting-edge platform that empowers exporters and manufacturing companies to find new customers and grow their business globally. Using advanced import-export data and AI-driven insights, Vujis helps businesses identify potential buyers, understand market trends, and gain a competitive edge in the international marketplace. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

AI Architect Location: Hyderabad Experience: 12-16 Years (4-6+ years in NLP, CV, and LLMs) Notice Period: 30 Days Job Summary We are seeking an AI Architect with expertise in NLP, Computer Vision (CV), and Large Language Models (LLMs) to design and develop cutting-edge AI solutions . You will be responsible for building scalable AI models and multi-agent frameworks that drive business innovation. This role requires strong Python development skills, AI model optimization, and hands-on coding expertise . Key Responsibilities AI Model & Agent Design: Architect NLP solutions and LLM agents for real-world business applications while ensuring high performance, low latency, and robust failover mechanisms. Hands-on Development: Build, test, and optimize scalable AI models with clean and efficient Python code. Multi-Modal & Multi-Agent Frameworks: Develop multi-agent systems with intelligent input/output token utilization, prioritization, and consumption strategies . Performance Optimization: Monitor and enhance AI models, ensuring model explainability, drift management, and robustness . AI Research & Implementation: Stay updated with the latest AI/ML research papers and translate them into practical applications. Debugging & Issue Resolution: Troubleshoot AI agent errors, performance bottlenecks, and integration issues . Innovation & Continuous Learning: Experiment with cutting-edge AI tools , including embedding models, speculative decoding, streaming, and structured outputs . Required Skills & Technologies Programming: Python Cloud Platforms: Azure AI Frameworks & Tools: Vector databases (Milvus, Qdrant, ChromaDB, CosmosDB, MongoDB), AI orchestration, evaluation, and observability tools (e.g., Arize). LLM Guardrails & Observability: Experience in AI model monitoring, security, and explainability . AI Model Deployment: Hands-on experience in deploying, optimizing, and maintaining AI models in production environments . Educational Qualification Bachelors/Masters in Engineering, Computer Science, or related fields . Role & responsibilities

We have an urgent requirement for an "Senior AI/ML Engineer with Gen-AI" for the Hyderabad (WFO) location. Please find below the job description for your reference. Experience: 6+ years Notice Period: Immediate Job Location: Hyderabad (Work from office) Key Responsibilities: Architect AI/ML systems as well as integrating AI/ML features into business apps Solution and execute end-to-end Generative AI projects with Open AI, GPT-4, Llama-2 etc. Experience in data acquisition, data mining, data transformation, cleaning structured/unstructured data, modelling, or machine learning, including at least 1 year in Generative AI. Develop end-to-end NLP Deep models Assist in Conversational AI, Information retrieval, Knowledge Management Research and implement appropriate ML algorithms and tools Build and manage Supervised and Unsupervised ML algorithms Select appropriate datasets and data representation methods, Perform statistical analysis and fine-tuning using test results Utilize AWS Lambda, EC2 Services to build solution and Provide code deployments Communicate architecture decisions effectively to multiple stakeholders including presenting to client Architecture Review Boards (ARBs). As a Senior Machine Learning Engineer, you will possess the following essential strengths, skills, and competencies. Problem-Solving Skills: Strong emphasis on product development. Communication Skills: Excellent written and oral communication, and strong interpersonal skills. Independence: Ability to thrive in a fast-paced environment and work independently. Analytical Skills: Experience performing root cause analysis to answer specific business questions. Programming Languages: Familiarity with Scala (preferred), Python & SQL Predictive Modelling and Analysis: Experience in machine learning and algorithm development. Mathematical Skills: Solid foundation in statistics, calculus, and linear algebra. Model Deployment: Experience productizing and deploying machine learning models. Data Warehousing: Experience with data warehouse tools (Snowflake preferred). Data Pipeline Management: Experience with data pipeline and workflow management tools (Airflow preferred). Engineering: Experience in Prompt engineering with LLM Development using Lang chain. Semantic Kernel, Open Source/ API based LLMs or similar. API Development: Experience building scalable APIs in Python (using FastAPI is a plus). • Data Processing: Working knowledge of data processing packages (e.g., NumPy, SciPy, pandas). Please share your CV along with below mentioned details to "hr@awone.ai". Total Experience: Relevant Experience: Current CTC: Expected CTC: Notice Period: Current Location: Interested to relocate Hyderabad :

Job Title : Senior Analyst / Data Scientist - NLP/Gen AI Location : Chennai, Bangalore, Hyderabad, Delhi/NCR Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the Best and Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine Curious about the role? What your typical day would look like? As a Data Scientist specializing in Generative AI and NLP , you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. What do we expect? Generative AI & NLP Expertise : Extensive experience in developing and deploying Generative AI applications and NLP frameworks , with hands-on knowledge of LLM fine-tuning , model customization , and AI-powered automation . Hands-On Data Science Experience : 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments. AI Innovation : Deep knowledge of the latest developments in Generative AI and NLP , with a passion for experimenting with cutting-edge research and incorporating it into practical solutions. Problem-Solving Mindset : Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems. Communication Skills : Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

We are seeking a highly skilled and experienced AI/ML Lead to spearhead the development and execution of our AI build plan and investment strategy. The ideal candidate will possess a deep understanding of AI/ML technologies, strong leadership abilities, and a proven track record of delivering successful AI initiatives. Responsibilities : AI Build Plan Development : - Conduct in-depth analysis of business requirements and identify AI/ML opportunities to drive growth and efficiency. - Develop a comprehensive AI build plan outlining strategic objectives, technology roadmap, and resource allocation. - Prioritize AI initiatives based on business impact, feasibility, and ROI. - Collaborate with cross-functional teams to align AI strategy with overall business goals. AI Investment Strategy : - Define AI investment criteria and evaluate potential AI projects for funding. - Develop financial models to assess the ROI of AI initiatives and justify investments. - Manage AI budget allocation and track spending against the approved plan. AI Team Leadership : - Build and lead a high-performing AI team of data scientists, machine learning engineers, and other AI professionals. - Provide technical guidance and mentorship to team members. - Foster a culture of innovation and experimentation within the AI team. AI Model Development and Deployment : - Oversee the development and deployment of AI models across various business domains. - Ensure the quality, accuracy, and scalability of AI models. - Monitor model performance and implement necessary improvements. Technology Evaluation and Adoption : - Stay up-to-date with the latest advancements in AI/ML technologies. - Evaluate new AI tools and platforms to identify potential benefits for the organization. - Drive the adoption of AI technologies across the enterprise. Required Qualifications : - Strong proficiency in Python, C++, and deep learning frameworks (Keras, TensorFlow, PyTorch, etc.) - Extensive experience in machine learning algorithms (CNNs, RNNs, LSTMs, Seq2seq) and neural network architectures. - Proven ability to create and optimize AI models for various use cases. - Deep understanding of performance and accuracy metrics for different AI models. - Experience with AI model optimization for CPUs and GPUs. - Knowledge of machine learning accelerators and related software. - Excellent communication and interpersonal skills. - Strong analytical and problem-solving abilities. - Experience with open-source tools for AI model optimization (TF/ONNX/PyTorch). - Exposure to GenAI technologies and their potential applications. Preferred Qualifications : - Experience in leading AI projects from inception to deployment. - Knowledge of cloud platforms (AWS, Azure, GCP). - Experience with big data technologies and tools. - A Master's or Ph.D. degree in computer science, statistics, or a related field.

Job Title : Senior Analyst / Data Scientist - NLP/Gen AI Location : Chennai, Bangalore, Hyderabad, Delhi/NCR Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the Best and Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine Curious about the role? What your typical day would look like? As a Data Scientist specializing in Generative AI and NLP , you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. What do we expect? Generative AI & NLP Expertise : Extensive experience in developing and deploying Generative AI applications and NLP frameworks , with hands-on knowledge of LLM fine-tuning , model customization , and AI-powered automation . Hands-On Data Science Experience : 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments. AI Innovation : Deep knowledge of the latest developments in Generative AI and NLP , with a passion for experimenting with cutting-edge research and incorporating it into practical solutions. Problem-Solving Mindset : Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems. Communication Skills : Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

We are looking for candidates with strong programming skills, and a strong understanding of computer/distributed systems. We want people who love designing and building infrastructure components and large complex services. Requirements: Bachelor's or Master's degree in computer science or equivalent. Experience working with major cloud solutions AWS (preferred), Azure, and GCP. Candidates who have worked on distributed messaging systems will be preferred. Familiarity with 3-Tier, microservices architecture, and distributed systems. Experience with the design and development of RESTful services. Experience with developing Linux-based applications, networking, and scripting. Experience with different data stores, data modeling, and scaling them. Familiarity with data stores such as Aerospike, MySQL, MongoDB, etc. Experience with one of the OOP languages: Golang (preferred) / PHP (preferred) / Ruby / Python / C++. Good understanding of data structures, multi-threading, and concurrency concepts. Experience with DevOps tools like Jenkins, Ansible, Kubernetes, and Git is a plus. Familiarity with elastic search queries and visualization tools like grafana and Kibana. Strong networking fundamentals: Firewalls, Proxies, DNS, Loadbalancing, etc. Strong analytical and problem-solving skills. Excellent written and verbal communication skills. Team player, flexible, and able to work in a fast-paced environment. A "DevOps" mindset. You own what you will develop. Good-to-haves : Experience in telecom, related protocols, and product start-ups would be a plus. Exposure to telephony protocols, ISDN, SIP, and WebRTC. Practical Experience in managing Production scale systems. Experience in the development of cloud telephony systems (CPaaS) is a plus. Experience: 2-4 years.

LLM Java & Cybersecurity Engineer Experience: 5-6 Years Exp Salary : USD 41,600-52,000 / year Preferred Notice Period : Within 30 Days Shift : 3:00PM to 12:00AM IST Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : CyberSecurity, HTML/CSS, C++, Java, JavaScript, Python, SQL Good to have skills : Machine Learning Engineer with a Cybersecurity Background A world Renowned tech talent company from USA (One of Uplers' Clients) is Looking for: LLM Java + Cyber Security who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About the Company Headquartered in Palo Alto, California, the company is the world's first AI-powered tech services organization. It has revolutionized the tech services industry by integrating AI into every aspect of its operationsoffering AI-vetted and matched talent, AI-driven development acceleration, and access to AI transformation experts who have played pivotal roles in building some of Silicon Valley's most iconic companies. Since its founding in 2018, the company has achieved remarkable growth, boasting a Talent Cloud of over three million developers worldwide and serving 900+ clients. Its innovative approach and impactful contributions have earned it numerous accolades, including being named one of "America's Best Startup Employers" by Forbes in 2022, securing the top spot in The Information's 2021 Annual List of most promising B2B companies, and being featured in Fast Company's "World's Most Innovative Companies" list. About the Role We are a forward-thinking organization developing cutting-edge solutions at the intersection of cybersecurity, AI, and software engineering. Our mission is to foster secure, scalable, and efficient software architectures that leverage advanced AI and data-driven insights. Join our diverse team to help shape the future of AI-integrated development across multiple job domains. Programming Language Requirements We require proficiency in at least two of the below listed languages: Python (object-oriented principles, frameworks like Flask, Django, FastAPI) and SQL (query optimization, database design, and handling relational databases) HTML/CSS (front-end work) JavaScript (front-end or full-stack) C++/C# (systems-level or enterprise apps) Java (backend services or Android development) Ruby on Rails + Cybersecurity Fundamental Requirements Cybersecurity Best Practices: Familiarity with OWASP Top 10, secure coding, and compliance standards. Clean Code & Testing: Strong code organization, adherence to testing methodologies, and ability to break down complex tasks. Prompt Engineering & GenAI Tools: Comfortable with ChatGPT or similar tools to accelerate development, aware of AI biases and pitfalls. Problem-Solving & Algorithmic Thinking: Proficiency in diagnosing issues, optimizing solutions, and refining system architecture. Preferred Expertise Application Security & Secure Coding Machine Learning for Cybersecurity Software Development & Code Analysis Ideal Candidate Profiles Cybersecurity Researcher / AI Security Engineer Application Security Engineer with AI/ML Exposure Machine Learning Engineer with a Cybersecurity Background Offer Details Position Type: Long-term contractor roles Work Hours: Full-time (40 hours/week) with a required 5-hour overlap with PST (Pacific Standard Time) Compensation: Competitive and based on experience/expertise Benefits: No medical/paid leave (contractor status) Why Join Us? Shape the future of AI-integrated development and cybersecurity in a cutting-edge environment. Collaborate with a diverse team of experts on challenging, high-impact projects. Enjoy a flexible, remote-friendly work culture that values continuous learning and innovation. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Hiring Partner: The company is at the forefront of AGI infrastructure, solving the human intelligence bottleneck and empowering enterprises to harness the power of generative AItransforming complex data into actionable insights. From custom AI products to end-to-end deployment, our solutions and experts are dedicated to driving innovation and efficiency. Trusted by 1000+ companies including OpenAI, Google, and Meta. Join us in the AGI era and accelerate how businesses operate. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Role & responsibilities As a Data Scientist specializing in Generative AI and NLP , you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. Model Customization & Fine-Tuning : Apply state-of-the-art techniques like LoRA , PEFT , and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact. Innovative Problem Solving : Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results. Data-Driven Insights : Conduct deep analysis of large datasets, uncovering insights and trends that guide decision-making, improve operational efficiencies, and fuel innovation. Cross-Functional Collaboration : Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications. Client Engagement : Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation. What do we expect? Generative AI & NLP Expertise : Extensive experience in developing and deploying Generative AI applications and NLP frameworks , with hands-on knowledge of LLM fine-tuning , model customization , and AI-powered automation . Hands-On Data Science Experience : 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments. AI Innovation : Deep knowledge of the latest developments in Generative AI and NLP , with a passion for experimenting with cutting-edge research and incorporating it into practical solutions. Problem-Solving Mindset : Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems. Communication Skills : Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

Dear Candidates, Handigital hiring for AI/ML Data annotation Trainer Who are available for Interview in Bangalore Domlur location. Please find the below Jd details Job Title: AI/ML Data Annotation Trainer Location: Bangalore Job Type: Full-Time About the Role: We are looking for an experienced AI/ML Data Annotation Trainer who is well-versed in Computer Vision, Large Language Models (LLMs), and other relevant domains. The ideal candidate will have a strong understanding of AI/ML workflows, data annotation techniques, and quality assessment methods. This role involves training teams on best practices for data labeling, annotation tools, and model performance optimization. Key Responsibilities: Design and deliver training sessions on AI/ML Data Annotation processes, including Image, Video, Text, and Audio annotation. Develop and maintain training materials, SOPs, and guidelines for various annotation projects. Provide hands-on training on annotation tools and platforms such as CVAT, Labelbox, SuperAnnotate, or similar. Educate teams on quality control mechanisms, best practices, and techniques for improving annotation accuracy. Train teams on data pre-processing, bias mitigation, and annotation standards for Computer Vision, NLP, and Multimodal AI models. Conduct assessments and evaluations to measure trainees' performance and improve training methodologies. Collaborate with project managers, quality analysts, and other stakeholders to align training with business needs. Stay updated with the latest advancements in AI/ML and data annotation practices to refine training content. Required Qualifications & Skills: Bachelor's or Masters degree in Computer Science, AI/ML, Data Science, or a related field. 3+ years of experience in AI/ML data annotation, data labeling, or AI model training. Strong knowledge of Computer Vision, NLP, Large Language Models, and AI/ML model training workflows. Experience with annotation tools such as Labelbox, CVAT, Supervisely, V7 Labs, or similar. Familiarity with Python, TensorFlow, PyTorch, or OpenCV is a plus. Excellent training, mentoring, and communication skills. Ability to analyze and troubleshoot data annotation quality issues. Experience in working with cross-functional teams in an AI/ML environment. Preferred Qualifications: Experience in training teams for large-scale AI/ML projects. Understanding of model evaluation metrics and data augmentation techniques. Previous experience working in data annotation for autonomous vehicles, healthcare AI, or retail AI. Certification in AI/ML or related fields is an advantage. Interested candidates please do share your resume to narayanamma.a@handigital.com Regards, Narni arikeri Recruitment Executive

Deliver hands-on training on Gen AI, AI/ML, Python & Agentic Frameworks. Design engaging modules, real-world projects & coding workshops. Mentor participants, conduct assessments & Q&A. Stay updated on AI trends to enhance learning.

About the Role: We are seeking a highly skilled and passionate Senior Data Scientist to join our growing AI/ML team. In this role, you will play a crucial part in developing cutting-edge AI solutions within the healthcare domain. You will focus on building and refining sophisticated Large Language Models (LLMs) to address critical challenges and improve healthcare outcomes. Key Responsibilities : - Develop and refine LLMs tailored for specific healthcare applications (e.g. , medical diagnosis, drug discovery, patient care). - Design and implement robust data pipelines for collecting, cleaning, and preparing high-quality healthcare datasets for LLM training. - Conduct thorough experimentation with different LLM architectures, hyperparameters, and training techniques. - Fine-tune pre-trained LLMs on specific healthcare tasks and datasets. - Implement techniques for improving LLM performance, such as prompt engineering, few-shot learning, and reinforcement learning. - Develop and implement rigorous evaluation metrics to assess the performance of LLMs on various healthcare tasks. - Conduct thorough model validation and testing to ensure accuracy, reliability, and safety. - Monitor model performance in production and identify areas for improvement. - Stay abreast of the latest advancements in LLM research and development. - Explore and implement cutting-edge techniques in natural language processing (NLP) and machine learning. - Conduct research and development on novel applications of LLMs in the healthcare domain. - Collaborate effectively with data engineers, clinicians, researchers, and other stakeholders. - Clearly communicate complex technical concepts to both technical and non-technical audiences. - Present research findings and project updates to team members and stakeholders. Qualifications : Essential : - Master's or Ph.D in Computer Science, Artificial Intelligence, Machine Learning, or a related field. - 3+ years of experience in developing and deploying machine learning models, with a strong focus on NLP and deep learning. - Proven experience in building and fine-tuning large language models. - Strong proficiency in Python and experience with deep learning frameworks (e.g. , TensorFlow, PyTorch). - Experience with data preprocessing, feature engineering, and model evaluation techniques. - Excellent analytical and problem-solving skills. - Strong communication and interpersonal skills

Role & responsibilities Understand the business requirements, develop the vision for the application and translate it into technical requirements. Design, build, and maintain advanced web applications using Python and frameworks such as Flask, FastAPI, and Django. Guide junior developers in their work Preferred candidate profile Hands-on developer with at least 3 years experience in Python frameworks like FastAPI, Django and Flask. Needs a startup mindset that he will do whatever is needed: backend, frontend, little bit of devops, design DB, QA etc. Has to be strong in logic and coding. Ability to manage frontend development in React and Angular. we do not hire people who say "I am a backend guy, I won't do frontend" Ability to understand client requirements, translate that to specific tasks, estimate, track and manage a development team Exposure to programming using GenAI APIs like OpenAI, Calude, Gemini We are not looking at experience in Data Science, ML. Good understanding of the key tools of modern development environments like Cursor, VSCode, Postgres/PgAdmin, Mysql/Workbench, git, github, basic DevOps, Linux, AWS, Azure... Perks and benefits You will be working in cutting edge AI applications. Industry overpar Salary

Job Description: Required Qualifications 5+ years of professional experience in AI/ML development/ Data scientist Strong programming skills in Python and related ML frameworks Proven track record of delivering production ready AI solutions Effective communication with client Technical Skills & Experience Overview Proficiency in Python, TensorFlow, PyTorch, Hugging Face, LangChain. Experience with APIs development and integration using Flask, FastAPI, or similar frameworks. Familiarity with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for AI applications. Experience with SQL & NoSQL databases (PostgreSQL, MongoDB, etc.). Strong knowledge of Cloud services (AWS, Azure, GCP) for AI deployment. Understanding of MLOps and CI/CD pipelines for model lifecycle management. Machine Learning & Deep Learning Strong foundation in traditional ML algorithms and statistical modeling Experience with neural network architectures and deep learning frameworks (PyTorch/TensorFlow) Practical knowledge of model optimization, hyperparameter tuning, and performance metrics Expertise in data preprocessing, feature engineering, and model validation techniques Large Language Models (LLMs) Experience working with transformer-based architectures Hands-on experience with LLM deployment and fine-tuning Understanding of prompt engineering and LLM evaluation metrics Knowledge of RAG (Retrieval-Augmented Generation) systems and vector databases AI Agents & Automation Experience in developing autonomous AI agents and workflows Understanding of agentic approaches to AI system design Knowledge of reinforcement learning and decision-making systems Experience with AI orchestration and multi-agent systems Computer Vision (Good to have) Practical experience with image processing and computer vision algorithms Knowledge of CNN architectures and modern vision transformers Experience with object detection, segmentation, and classification tasks Understanding of video processing and real-time vision systems Infrastructure & Deployment Strong experience with cloud platforms (AWS/Azure/GCP) Expertise in API development and RESTful services Knowledge of containerization and orchestration (Docker, Kubernetes) Experience with ML ops and model serving infrastructure Key Responsibilities Design and implement end-to-end AI solutions from concept to production Develop and optimize ML models for various use cases Create and maintain RAG systems for information retrieval and generation Build and deploy computer vision solutions for real-world applications Implement and manage cloud-based AI services and APIs Collaborate with cross functional teams to integrate AI solutions Mentor junior team members and contribute to technical decision making

As a Generative AI Specialist, you will be integral to our team, focusing on the development, fine-tuning, and implementation of large language models. You will work on natural language processing, generative tasks, and the creation of intelligent agents powered by LLMs. Key Responsibilities: Develop and fine-tune large language models for diverse applications. Implement and optimize LLMs to create efficient, scalable solutions. Build intelligent agents that utilize LLMs to interact and perform complex analytical tasks. Collaborate with cross-functional teams to integrate LLM technology into our products and services. Conduct research to stay ahead of the latest trends and advancements in generative AI and machine learning. Document and present model development processes and results for stakeholders. Required Qualifications: 3-7 years of experience in machine learning, specifically with generative AI and large language models. Strong proficiency in Python and familiarity with AI and ML libraries such as TensorFlow, Py Torch, and Hugging Face Transformers. Experience in fine-tuning LLMs and deploying AI models in a production environment. Proven ability to design and implement AI agents using LLMs. Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment CTC: We can offer Up to 30 LPA. Please share your profiles to the below email ID: naveen.nooli@inrhythm-inc.com *Please ignore this email if it is irrelevant to your Skill-Set.