58 Openai Api Jobs - Page 2

We are seeking an experienced and forward-thinking Generative AI Architect with a background of 12-15 years in AI/ML, with a specific focus on working with LLMs (Large Language Models) and Generative AI solutions. This pivotal role involves designing and supervising the development of cutting-edge GenAI platforms and solutions that revolutionize business operations and enhance customer experiences. As the GenAI Architect, you will collaborate closely with Data Scientists, ML Engineers, Product Teams, and Stakeholders to envision, prototype, and scale Generative AI Use Cases throughout the organization or for clients. Key responsibilities include leading the design and implementation of scalable GenAI solutions utilizing LLMs, diffusion models, and multimodal architectures. You will also be tasked with architecting end-to-end pipelines that encompass prompt engineering, vector databases, retrieval-augmented generation (RAG), and LLM fine-tuning. Furthermore, you will play a crucial role in selecting and integrating foundational models based on business requirements and technical limitations, defining GenAI architecture blueprints and best practices, and guiding teams on model evaluation, inference optimization, and cost-effective scaling strategies. Additionally, staying abreast of the rapidly evolving GenAI landscape, evaluating emerging tools, APIs, and frameworks, and collaborating with various stakeholders to identify high-impact GenAI use cases are essential aspects of this role. Requirements: - A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field. A PhD would be advantageous. - 12-15 years of experience in AI/ML and software engineering, with at least 3 years of dedicated focus on Generative AI and LLM-based architectures. Core Skills: - Profound expertise in machine learning, natural language processing (NLP), and deep learning architectures. - Hands-on familiarity with LLMs, transformers, fine-tuning techniques, and prompt engineering. - Proficiency in Python, including working knowledge of libraries/frameworks like Hugging Face Transformers, LangChain, OpenAI API, PyTorch, and TensorFlow. - Experience with vector databases and RAG pipelines. - Strong grasp of cloud-native AI architectures, containerization, and API integration. Architectural & Leadership Skills: - Demonstrated ability to design and implement scalable, secure, and efficient GenAI systems. - Excellent communication skills for effective cross-functional collaboration and stakeholder engagement. - Capacity to mentor engineering teams and foster innovation within the AI/ML ecosystem. Nice-to-Have: - Previous experience with multimodal models. - Understanding of AI governance, ethical AI, and compliance frameworks. - Familiarity with MLOps practices for GenAI, encompassing model versioning, drift detection, and performance monitoring.,

As a NLP scientist at Miimansa, you will play a crucial role in developing and prototyping innovative methods for various natural language understanding tasks specifically focused on clinical texts. Your responsibilities will include actively contributing to research collaborations with academic NLP research groups, participating in NLU challenge tasks, and publishing research findings. The ideal candidate should possess a Bachelor's degree or higher in computer science or engineering with a specialization in language processing. However, exceptional individuals with a Bachelor's degree in CS accompanied by relevant experience will also be considered. Additionally, you should have a minimum of 2+ years of hands-on experience in NLP and related projects, although this requirement may be flexible for candidates holding a PhD. You are expected to have a solid understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering. Proficiency in NLP techniques for language modeling, text representation, and semantic extraction is essential. Moreover, a good grasp of current DNN architectures, training, and evaluation methods in NLP is required, along with the ability to adapt them to clinical/medical data and issues. To excel in this role, you should possess expertise in repository management, GPU utilization, and the capability to quickly set up NLP pipelines for testing new concepts. Familiarity with NLP literature, emerging trends, prominent conference venues, and code repositories is highly valued. Proficiency in Python programming and familiarity with libraries such as Huggingface, Spacy, and OpenAI API are also crucial for this position. Furthermore, you should be willing and capable of mentoring engineering teams within the company. Miimansa is dedicated to developing technology that enhances the progression of medical interventions and patient care. Our team combines extensive expertise in clinical data-management workflows, life sciences research, and AI to address critical bottlenecks in experimental medicine, facilitating the design of more manageable and lower-risk clinical trials for sponsors. We promote hybrid working arrangements (remote/in-person) and are committed to fostering a culture of collaborative learning and exploration. Join us at Miimansa for abundant opportunities for professional growth and development.,

Join our fast-paced Corporate Oversight and Governance Technology AI/ML team at J.P. Morgan, where your skills and passion will drive innovation and make a significant impact. We offer unparalleled opportunities for career growth and a collaborative environment where you can thrive and contribute to meaningful projects. As an Applied AI ML Lead within the Corporate Oversight and Governance Technology team, you will solve challenging and impactful problems across a wide range of Corporate functions. You will study complex business problems and apply advanced algorithms to develop, test, and evaluate AI/ML applications or models. Working with the firm's rich data pool using Python/Spark via AWS, you will derive business insights and present them to non-technical audiences, contributing to stronger business programs and improved efficiency. Proactively develop an understanding of key business problems and processes. Execute tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection. Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Conduct thorough evaluations of generative models (e.g., GPT-4), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications. Implement monitoring mechanisms to track model performance in real-time and ensure model reliability. Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences. Generate structured and meaningful insights from data analysis and modeling exercises and present them in an appropriate format according to the audience. Collaborate with other data scientists and machine learning engineers to deploy machine learning solutions. Carry out ad-hoc and periodic analysis as required by the business stakeholder, model risk function, and other groups. Required Qualifications, Capabilities, and Skills: - Formal training or certification in applied AI/ML concepts and 5+ years of applied experience. - Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API. - Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API. - Experience in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. - Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs. - Experience with a broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, and XGBoost. - Experience with graph analytics and neural networks (PyTorch). - Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred Qualifications, Capabilities, and Skills: - Expertise in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. - Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). - Familiarity with the financial services industry.,

Embark on a transformative journey with SwaaS, where innovation meets opportunity. Explore thrilling career prospects at the cutting edge of technology. Join our dynamic team, dedicated to shaping the future of IT. At SwaaS, we offer more than just jobs; we provide a platform for growth, collaboration, and impactful contributions. Discover a workplace where your aspirations align with limitless possibilities. Your journey towards a rewarding career in technology begins here, with SwaaS as your guide. Perks and Benefits We go beyond salaries and provide guaranteed benefits that speak about Swaas" value and culture. Our employees receive common benefits and performance-based individual benefits. Performance based benefits We promote a culture of equity. Accept the challenge, deliver the results, and get rewarded. Healthcare Our comprehensive medical insurance helps you cover your urgent medical needs. Competitive Salary We assure with pride that we are on par with the industry leaders in terms of our salary package. Employee Engagement A break is always needed out of the regular monotonous work assignments. Our employee engagement program helps our employees enhance their team bonding. Upskilling We believe in fostering a culture of learning and harnessing the untapped potential in our employees. Everyone is encouraged and rewarded for acquiring new skills and certifications. Senior AI/ML Developer (Lead Role) (Experience: 3 - 5 years) Tech Stack: Python, Node.js (Javascript), LangChain, LLama Index, OpenAI API, Perplexity.ai API, Neo4j, Docker, Kubernetes Responsibilities: Lead the integration of Perplexity.ai and ChatGPT APIs for real-time chatbot interactions. Design and implement intent extraction and NLP models for conversational AI. Design and implement RAG (Retrieval-Augmented Generation) pipelines for context-aware applications. Guide junior developers and ensure best practices in LLM application development. Set up Python API security, and performance monitoring. Requirements: Deep knowledge of NLP, LLMs (ChatGPT, GPT-4, Perplexity.ai, LangChain). Experience with Graph Databases (Neo4j) and RAG techniques. Familiarity with vector databases (Pinecone, Weaviate, FAISS). Strong expertise in Python (FastAPI, Flask) and/or Node.js (Express, NestJS). Good to have - experience with containerization (Docker, Kubernetes). Excellent problem-solving skills and experience leading a small AI/ML team.,

We are seeking skilled Full Stack Developers with 3+ years of experience to join our engineering team in developing a scalable SaaS product featuring dynamic dashboards, role-based user flows, and robust backend services. In this role, you will be responsible for working on mission-critical features ranging from UI rendering to backend logic, API architecture, and data handling. Your Tech Stack Will Include: Frontend: - React.js (Hooks, Context API, Redux or Zustand) - Tailwind CSS or SCSS - TypeScript (preferred) - Component libraries: MUI / Ant Design / ShadCN (bonus) - REST API integration, JWT-based auth flows Backend: - Node.js + Express.js - MongoDB (Mongoose) and/or PostgreSQL (Sequelize / Prisma ORM) - Auth: JWT, OAuth2, role-based access (RBAC) - File handling, pagination, filtering, custom controllers DevOps & Tools: - Git & GitHub / GitLab - Postman, Swagger / OpenAPI - Docker (basic understanding) - Familiarity with CI/CD pipelines is a plus - Deployment: Vercel / Render / DigitalOcean / AWS Bonus / Nice to Have: - Next.js or Nuxt.js - Redis, WebSockets (real-time features) - Integration with 3rd-party APIs (Stripe, SendGrid, etc.) - Unit testing (Jest, Mocha, Supertest) - Basic AI integration (OpenAI API, LangChain, Pinecone, etc.) Role Levels & Responsibilities: 3+ Years Experience: - Ability to independently deliver modules using React + Node - Strong understanding of the full REST lifecycle - Capable of managing feature rollout with backend integration - Proficient in debugging, version control, and API handling practices 5+ Years Experience: - Ability to lead a small team of developers - Proficient in designing modular backend structure with layered architecture - Hands-on experience with performance optimization, caching, async operations - Familiar with secure deployment, access control, and CI basics 6+ Years Experience: - Skilled in architecting scalable full-stack systems - Contribution to planning, estimation, and sprint delivery - Knowledge of software design patterns, scalability, and fault-tolerant systems - Bonus: experience in leading cross-functional teams and codebase modernization You Should Apply If You: - Love building full-scale products from Figma to functional UI - Enjoy clean code, reusability, and DRY principles - Are comfortable debugging both frontend and backend issues - Have experience working on SaaS, admin dashboards, or business tools - Want to grow alongside a fast-moving product engineering team,

Responsibilities: * Design, develop, test & maintain backend systems using Node.JS, ExpressJS, FastAPI & Python. * Collaborate with cross-functional teams on project delivery within AWS environment. Work from home Leave encashment

As an experienced Data Engineer with 8+ years of industry experience, you will be responsible for developing robust, scalable Python-based applications that meet the company's requirements. Your key responsibilities will include integrating and implementing Generative AI models into business applications, designing, building, and maintaining data pipelines and data engineering solutions on Azure, and collaborating closely with cross-functional teams to define, design, and deploy innovative AI and data solutions. You will be required to build, test, and optimize AI pipelines, ensuring seamless integration with Azure-based data systems. Continuous research and evaluation of new AI and Azure data technologies to enhance system capabilities will be essential. Additionally, you will participate actively in code reviews, troubleshooting, debugging, and documentation to maintain high standards of code quality, performance, security, and reliability. To excel in this role, you must possess advanced proficiency in Python programming, including knowledge of libraries and frameworks like Django, Flask, and FastAPI. Experience in Generative AI technologies such as GPT models, LangChain, and Hugging Face will be beneficial. Solid expertise in Azure Data Engineering tools like Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake Storage is required. Familiarity with AI/ML libraries like TensorFlow, PyTorch, or OpenAI API, RESTful APIs, microservices architecture, and web application development is essential. You should also have a strong understanding of databases (SQL, NoSQL), ETL processes, containerization, and orchestration technologies like Docker and Kubernetes. Strong problem-solving, analytical, and debugging skills are a must-have for this role. Preferred qualifications include a Bachelor's or Master's degree in computer science, engineering, or related fields, prior experience developing AI-enabled products or implementing AI into applications, and Azure certifications (AZ-204, DP-203, AI-102) or equivalent. Exposure to DevOps practices and CI/CD pipelines, especially in Azure DevOps, will be an added advantage. In addition to technical skills, soft skills such as strong communication, teamwork, ability to work independently, and a passion for continuous learning and professional growth are valued. This full-time position is located in Gurgaon, Noida, Pune, Bengaluru, or Kochi. Join us at Infogain, a human-centered digital platform and software engineering company based in Silicon Valley, where we engineer business outcomes for Fortune 500 companies and digital natives across various industries. We accelerate experience-led transformation in the delivery of digital platforms using cutting-edge technologies such as cloud, microservices, automation, IoT, and artificial intelligence. Infogain is a Microsoft Gold Partner and Azure Expert Managed Services Provider, with global offices and delivery centers in multiple locations worldwide.,

You will be a Senior MERN Full Stack Developer with expertise in AI Prompt Engineering. Your role will involve developing scalable web applications using the MERN stack and implementing advanced AI functionalities using models like GPT and BERT. Your responsibilities will include building and managing web applications utilizing MongoDB/PostgreSQL/MySQL, Express.js, React.js, and Node.js, designing and implementing RESTful APIs and WebSocket connections, creating AI-driven features with GPT, BERT, and prompt engineering, collaborating with diverse teams, and guiding junior developers. Additionally, you will be involved in sprint planning, project scoping, and ensuring timely delivery of features. To excel in this role, you must have extensive experience with the MERN stack, be skilled in JavaScript/TypeScript and async programming, possess knowledge of GPT, BERT, and AI model integration, be familiar with OpenAI API, Hugging Face, TensorFlow, or PyTorch, understand both NoSQL and relational databases, and exhibit strong communication, leadership, and problem-solving abilities. In return, you can expect a competitive salary and benefits, the opportunity to work on cutting-edge AI-integrated products, chances for leadership roles and career development, and a collaborative team environment. If you are ready to contribute to innovative full-stack + AI solutions, this position offers a full-time, permanent employment with benefits such as health insurance, internet reimbursement, paid time off, and provident fund. The work schedule includes day and morning shifts at the physical location in Bangalore.,

Job Description: As a Senior MERN Full Stack Developer with expertise in AI Prompt Engineering, you will be responsible for developing scalable web applications using the MERN stack. Your role will involve integrating advanced AI features utilizing models such as GPT and BERT. You will collaborate with cross-functional teams, mentor junior developers, and contribute to the development of AI-driven features. Key Responsibilities: - Building and maintaining web applications using MongoDB/PostgreSQL/MySQL, Express.js, React.js, and Node.js. - Designing and developing RESTful APIs and WebSocket connections. - Creating AI-driven features leveraging GPT, BERT, and prompt engineering techniques. - Collaborating with teams and providing mentorship to junior developers. - Participating in sprint planning, project scoping, and ensuring timely feature delivery. Requirements: - Proficiency in the MERN stack with hands-on experience. - Strong knowledge of JavaScript/TypeScript and async programming. - Experience in working with GPT, BERT, and integrating AI models. - Familiarity with OpenAI API, Hugging Face, TensorFlow, or PyTorch. - Understanding of both NoSQL and relational databases. - Excellent communication, leadership, and problem-solving skills. What You'll Get: - Competitive salary and benefits package. - Opportunity to work on cutting-edge AI-integrated products. - Potential for leadership roles and career advancement. - Engaging and collaborative team environment. Job Types: Full-time, Permanent Benefits: - Health insurance. - Internet reimbursement. - Paid time off. - Provident Fund. Schedule: - Day shift. - Morning shift. Work Location: In person.,

As a Python Developer within our Information Technology department, your primary responsibility will be to leverage your expertise in Artificial Intelligence (AI), Machine Learning (ML), and Generative AI. We are seeking a candidate who possesses hands-on experience with GPT-4, transformer models, and deep learning frameworks, along with a profound comprehension of model fine-tuning, deployment, and inference. Your key responsibilities will include designing, developing, and maintaining Python applications that are specifically tailored towards AI/ML and generative AI. You will also be involved in building and refining transformer-based models such as GPT, BERT, and T5 for various NLP and generative tasks. Working with extensive datasets for training and evaluation purposes will be a crucial aspect of your role. Moreover, you will be tasked with implementing model inference pipelines and scalable APIs utilizing FastAPI, Flask, or similar technologies. Collaborating closely with data scientists and ML engineers will be essential in creating end-to-end AI solutions. Staying updated with the latest research and advancements in the realms of generative AI and ML is imperative for this position. From a technical standpoint, you should demonstrate a strong proficiency in Python and its relevant libraries like NumPy, Pandas, and Scikit-learn. With at least 7+ years of experience in AI/ML development, hands-on familiarity with transformer-based models, particularly GPT-4, LLMs, or diffusion models, is required. Experience with frameworks like Hugging Face Transformers, OpenAI API, TensorFlow, PyTorch, or JAX is highly desirable. Additionally, expertise in deploying models using Docker, Kubernetes, or cloud platforms like AWS, GCP, or Azure will be advantageous. Having a knack for problem-solving and algorithmic thinking is crucial for this role. Familiarity with prompt engineering, fine-tuning, and reinforcement learning with human feedback (RLHF) would be a valuable asset. Any contributions to open-source AI/ML projects, experience with vector databases, building AI chatbots, copilots, or creative content generators, and knowledge of MLOps and model monitoring will be considered as added advantages. In terms of educational qualifications, a Bachelor's degree in Science (B.Sc), Technology (B.Tech), or Computer Applications (BCA) is required. A Master's degree in Science (M.Sc), Technology (M.Tech), or Computer Applications (MCA) would be an added benefit for this role.,

Aptean is seeking an Associate Architect, AI to join our innovative team. In this pivotal role, you will be instrumental in designing, developing, and refining AI solutions, with a strong focus on optimizing AI model output through advanced prompting techniques. You'll work with cutting-edge technologies like Azure OpenAI and Microsoft Fabric Lakehouse to build scalable, efficient, and business-aligned AI applications, including autonomous AI agents and enhanced conversational AI experiences. About the Role Develop and refine structured prompts to optimize AI model output, experimenting with various prompting techniques. Implement Fabric AI Skills on Fabric Lakehouse for automated data interpretation of semantic models for improved contextual accuracy. Integrate Azure OpenAI and Fabric AI Skills for the MS Fabric Lakehouse to enable enhanced conversational AI experiences. Drive the development of AI-led automation solutions , preferably leveraging Agentic AI. Analyze AI responses, troubleshoot inconsistencies, and fine-tune prompts for better accuracy while researching and implementing best practices to reduce hallucinations and biases . Automate workflows by designing prompts for AI agents, chatbots, and AI-powered assistants. Stay updated with advancements in NLP, LLMs, and generative AI to continuously improve prompt strategies and enhance AI model performance. Assist in curating, cleaning, and processing datasets used for training machine learning models. Learn to create effective prompts for LLMs to generate and augment datasets while helping identify and resolve data quality issues across various data types. Develop and implement AI models, algorithms, and workflows to automate tasks, optimize processes, and generate insights from data. Drive research and implementation of autonomous AI agents that interact with users, applications, and environments. Optimize AI performance, ensuring solutions are scalable, efficient, and aligned with business objectives . Skills, Abilities & Competencies Experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and AI APIs . Hands-on experience in Fabric AI Skills and implementing Fabric AI Skills on Fabric Lakehouse. Familiarity with Data Lakehouse & medallion architecture , including semantic models. Familiarity with Python, OpenAI API, LangChain, and AI automation frameworks . Proficient with Python language and ML toolkits like TensorFlow, PyTorch, Keras, Scikit Learn . Strong programming skills in languages such as JSON, Microsoft Azure, Python, Java, JavaScript , etc. Prior experience developing and hosting chatbots on multiple channels (Teams, SharePoint, web portal). Understanding of statistical models such as regression, clustering, and ML algorithms such as decision trees, Random Forests, neural networks, etc. Strong understanding of NLP principles, model behavior, and prompt design techniques . Ability to interpret AI-generated outputs and optimize performance. Strong writing and communication skills, with a keen understanding of AI-driven content generation. Adaptability to a fast-paced AI startup environment. Qualifications Education: Bachelor's degree (Required). Master's degree (Preferred). Work Experience: 8-12 years of relevant experience.

We are hiring a Full Stack Developer with strong exposure to AI tools, APIs, and product development workflows. This role is for someone who can independently design, build, and deploy full-stack applications, and also integrate AI-powered components such as RSVP agents, recommendation systems, conversational flows, and automation tools. Responsibilities Build and maintain full-stack web apps using React, Node.js, Python Integrate AI/ML APIs like OpenAI, Cohere, LangChain, Pinecone, etc. Architect intelligent features using vector databases, RAG pipelines, and custom agent flows Work on both frontend + backend and own deployment, testing & CI/CD Collaborate closely with product & automation teams Must-Have Skills Strong proficiency in JavaScript/TypeScript, Python, Node.js Comfortable with NoSQL, PostgreSQL, Firebase, or Supabase Experience with API integrations, automation, and microservices Understanding of AI agentic flows, embeddings, and webhooks Experience deploying products on Vercel, Render, or similar Good to Have Familiarity with tools like LangChain, LlamaIndex, or OpenAI Assistants Working knowledge of Next.js, Tailwind CSS, and prompt engineering Work Culture Fully remote Flat structure Fast execution environment Product-first mindset

You will work closely with data scientists, product teams, and developers to fine-tune LLM behavior for diverse applications including chatbots, code generation, creative writing, and data extraction.

Job Title: Backend Engineer Python + AI Integration Location: India (Hybrid - Preferably Chennai/ Mumbai / Pune) Experience Required: Minimum 5 Years Joining Timeline: Immediate to 30 Days Preferred Role Overview: We are seeking a seasoned Backend Engineer with strong proficiency in Python and a solid understanding of AI/ML model integration . This role is ideal for someone who thrives at the intersection of backend engineering and intelligent systems building scalable APIs, handling data workflows, and integrating machine learning models in production environments. Key Responsibilities: 1. Backend & API Development Develop RESTful and GraphQL APIs using Django, FastAPI, or Flask . Implement async tasks with tools like Celery, RabbitMQ , and webhooks. Design clean, scalable, and secure architecture following SOLID principles . 2. Database Design & Optimization Design, maintain, and optimize PostgreSQL databases JSONB, partitioning, window functions, materialized views, etc. Write complex SQL queries , design ER diagrams, manage schema migrations (e.g., Alembic, Flyway). Troubleshoot performance issues using EXPLAIN plans , handle connection pooling, and resolve deadlocks. 3. AI/ML System Integration Work closely with data scientists to deploy ML models as APIs. Use tools like scikit-learn, PyTorch, Hugging Face, TensorFlow for integrating AI capabilities. Deploy RAG systems using FAISS, Weaviate, Qdrant , and integrate with OpenAI APIs, LangChain, LlamaIndex . Build pipelines with Airflow, Prefect for continuous training and deployment. 4. Infrastructure & DevOps Containerize applications using Docker & Docker Compose . Implement CI/CD pipelines using GitHub Actions, GitLab CI, or Jenkins . Monitor systems using Prometheus, Grafana, ELK, or Sentry . Familiarity with cloud platforms ( AWS, GCP, Azure ) working with S3, Lambda, Cloud SQL, SageMaker , etc. Must-Have Skills: Proficiency in Python and OOP principles. Deep knowledge of PostgreSQL and general RDBMS optimization. Experience with RESTful APIs , async processing, and microservice design. Exposure to AI/ML workflows , including model deployment and monitoring. Knowledge of authentication/authorization standards (OAuth2, JWT). Good-to-Have (Bonus Skills): Experience with LLMs , embedding-based search , and RAG systems . Familiarity with Streamlit/Dash for internal tools and dashboards. Understanding of data governance , PII protection, and anonymization. Exposure to event-driven systems (Kafka, AWS SNS/SQS). Open-source contributions or technical blog writing. Interested Candidates can drop your resume to subashini.gopalan@kiya.ai

Experience : 3+ years Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Must have Skills required: Constructive communication, Open AI API, AWS, MongoDB, Node Js Job Description: NodeJs Developer at Adiuvo Key Responsibilities: 1. Develop, maintain, and improve our platform using Node.js, Python, and integrating with the OpenAI API. 2. Engage in the research, development, and integration of generative AI algorithms to enhance our products. 3. Collaborate with cross-functional teams to define, design, and ship new features. 4. Contribute to the development of virtual assistants, ensuring seamless user experiences, and leveraging the capabilities of OpenAI's Whisper ASR system. 5. Dive deep into the realms of Neural Radiance Fields (NERFs) and its applications. 6. Participate in code reviews, ensuring the highest level of quality and adherence to best practices. 7. Stay updated with the latest industry trends and technologies to ensure our platform remains at the forefront. Key Skills & Qualifications: 1. Proficient in Node.js and Python with a minimum of 3 years of experience. 2. Experience with OpenAI API and its suite of tools. 3. Familiarity with Whisper Automatic Speech Recognition (ASR) system. 4. Prior experience with generative AI and virtual assistants is highly desirable. 5. Familiarity or experience with Neural Radiance Fields (NERFs) will be a significant plus. 6. Strong understanding of software development best practices and design principles. 7. Excellent problem-solving Skills and the ability to think critically and innovate. 8. Strong written and verbal communication Skills . Desirable Experience: 1. Hands-on experience with generative AI frameworks and tools. 2. Practical knowledge in developing and deploying virtual assistants. 3. Previous work in projects involving Neural Radiance Fields (NERFs). Skills Constructive communication, Open AI API, AWS, MongoDB, Node Js

Notice period: Immediate 15days Profile source: Tamil Nadu Timings: 1:00pm 10:00pm (IST) Work Mode: WFO (Mon-Fri) Job Summary: We are looking for a driven and curious Data Scientist to join our growing AI & Data Science team. The ideal candidate will have a foundational understanding of data analysis and machine learning, with a strong interest in emerging AI paradigms such as Retrieval-Augmented Generation (RAG) and agentic AI systems . This role provides an exciting opportunity to work on real-world applications of LLMs and support the development of intelligent, task-oriented agents. Key Responsibilities: Clean, transform, and analyze data (structured and unstructured) from diverse Perform exploratory data analysis to identify actionable Support the development and evaluation of traditional and deep learning Assist in integrating LLMs into workflows using RAG Collaborate with senior team members to build and refine agentic AI systems for task Contribute to the design and testing of knowledge retrieval systems, including vector stores and embedding models. Develop dashboards, visualizations, and documentation to effectively communicate insights and Required Skills & Qualifications: Bachelors degree in Data Science, Computer Science, Statistics, Engineering, or a related discipline. Strong programming proficiency in Python, including experience with libraries like pandas, numpy, scikit-learn, and either LangChain or LlamaIndex. Fundamental understanding of Natural Language Processing (NLP) and large language models (LLMs). Hands-on experience with SQL and database A strong passion for advancements in Artificial Intelligence and a commitment to ongoing Exposure to Retrieval-Augmented Generation (RAG) architectures, including vector databases like FAISS, Chroma, or Pinecone. Familiarity with LLM frameworks, such as the OpenAI API and Hugging Face Knowledge of agentic AI systems, including task planning and autonomous agents Experience with cloud platforms (AWS, GCP, Azure) and version control systems (Git).

Responsibilities AI-Powered Software Development & API Integration Develop AI-driven applications, microservices, and automation workflows using FastAPI, Flask, or Django, ensuring cloud-native deployment and performance optimization. Integrate OpenAI APIs (GPT models, Embeddings, Function Calling) and Retrieval-Augmented Generation (RAG) techniques to enhance AI-powered document retrieval, classification, and decision-making. Data Engineering & AI Model Performance Optimization Design, build, and optimize scalable data pipelines for AI/ML workflows using Pandas, PySpark, and Dask, integrating data sources such as Kafka, AWS S3, Azure Data Lake, and Snowflake. Enhance AI model inference efficiency by implementing vector retrieval using FAISS, Pinecone, or ChromaDB, and optimize API latency with tuning techniques (temperature, top-k sampling, max tokens settings). Microservices, APIs & Security Develop scalable RESTful APIs for AI models and data services, ensuring integration with internal and external systems while securing API endpoints using OAuth, JWT, and API Key Authentication. Implement AI-powered logging, observability, and monitoring to track data pipelines, model drift, and inference accuracy, ensuring compliance with AI governance and security best practices. AI & Data Engineering Collaboration Work with AI/ML, Data Engineering, and DevOps teams to optimize AI model deployments, data pipelines, and real-time/batch processing for AI-driven solutions. Engage in Agile ceremonies, backlog refinement, and collaborative problem-solving to scale AI-powered workflows in areas like fraud detection, claims processing, and intelligent automation. Cross-Functional Coordination and Communication Collaborate with Product, UX, and Compliance teams to align AI-powered features with user needs, security policies, and regulatory frameworks (HIPAA, GDPR, SOC2). Ensure seamless integration of structured and unstructured data sources (SQL, NoSQL, vector databases) to improve AI model accuracy and retrieval efficiency. Mentorship & Knowledge Sharing Mentor junior engineers on AI model integration, API development, and scalable data engineering best practices, and conduct knowledge-sharing sessions. Education & Experience Required 12-18 years of experience in software engineering or AI/ML development, preferably in AI-driven solutions. Hands-on experience with Agile development, SDLC, CI/CD pipelines, and AI model deployment lifecycles. Bachelor's Degree or equivalent in Computer Science, Engineering, Data Science, or a related field. Proficiency in full-stack development with expertise in Python (preferred for AI), Java Experience with structured & unstructured data: SQL (PostgreSQL, MySQL, SQL Server) NoSQL (OpenSearch, Redis, Elasticsearch) Vector Databases (FAISS, Pinecone, ChromaDB) Cloud & AI Infrastructure: AWS: Lambda, SageMaker, ECS, S3 Azure: Azure OpenAI, ML Studio GenAI Frameworks & Tools: OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, AutoGPT, CrewAI. Experience in LLM deployment, retrieval-augmented generation (RAG), and AI search optimization. Proficiency in AI model evaluation (BLEU, ROUGE, BERT Score, cosine similarity) and responsible AI deployment. Strong problem-solving skills, AI ethics awareness, and the ability to collaborate across AI, DevOps, and data engineering teams. Curiosity and eagerness to explore new AI models, tools, and best practices for scalable GenAI adoption.

Job Summary: We are seeking a highly skilled and hands-on AI Engineer with 3+ years of proven experience in building and deploying solutions using Generative AI and Large Language Models (LLMs). You will work on cutting-edge applications leveraging transformer-based architectures, fine-tuning, prompt engineering, and scalable AI deployments. This role is ideal for engineers passionate about AI research and real-world productization of generative AI technologies. Key Responsibilities: Design, develop, and deploy solutions using LLMs (e.g., GPT, LLaMA, Mistral, Claude, PaLM, etc.) for various NLP and content generation tasks. Work on fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) pipelines. Integrate LLMs into enterprise applications with APIs and orchestrate workflows using Python, LangChain, or similar frameworks. Optimize model performance, latency, and cost for production use. Collaborate with data scientists, MLOps engineers, and product managers to deliver scalable AI features. Conduct experiments, analyze results, and publish internal findings or contribute to whitepapers. Ensure ethical, secure, and responsible use of AI technologies in all implementations. Required Skills & Experience: 3+ years of hands-on experience working with Generative AI, LLMs, and NLP technologies. Strong programming skills in Python and experience with libraries like Transformers (Hugging Face), LangChain, PyTorch, TensorFlow, etc. Proven track record of fine-tuning LLMs, developing embeddings, and working with vector databases (e.g., FAISS, Pinecone, Weaviate). Experience deploying models on cloud platforms (AWS, Azure, GCP) and using ML pipelines or MLOps tools. Solid understanding of deep learning, NLP architectures, tokenization, and evaluation metrics for generative models. Experience in API development and integration of LLMs into user-facing applications. Preferred Qualifications: Masters or PhD in Computer Science, AI/ML, Data Science, or related field. Experience with OpenAI APIs, Anthropic, Cohere, or open-source LLMs (e.g., Mistral, Falcon, LLaMA 3). Understanding of RLHF (Reinforcement Learning from Human Feedback) and model alignment techniques. Contributions to open-source AI projects or publications in GenAI/LLM.

ABOUT THE ROLE Role Description: We are seeking an accomplished and visionary Data Scientist/ GenAI developer to join Amgens Enterprise Data Management team. As part of MDM team, you will be responsible for design ing , develop ing , and deploy ing Generative AI and ML models to power data-driven decisions across business domains. This role is ideal for an AI practitioner who thrives in a collaborative environment and brings a strategic mindset to applying advanced AI techniques to solve real-world problems. To succeed in this role, the candidate must have strong AI/ML, Data Science , GenAI experience along with MDM knowledge, hence the candidates having only MDM experience are not eligible for this role. Candidate must have AI/ML, data science and GenAI experience on technologies like ( PySpark / PyTorch , TensorFlow, LLM , Autogen , Hugging FaceVectorDB , Embeddings, RAGs etc ), along with knowledge of MDM (Master Data Management) Roles & Responsibilities: Develop enterprise-level GenAI applications using LLM frameworks such as Langchain, Autogen, and Hugging Face. Design and develop intelligent pipelines using PySpark, TensorFlow, and PyTorch within Databricks and AWS environments. Implement embedding models andmanage VectorStores for retrieval-augmented generation (RAG) solutions. Integrate and leverage MDM platforms like Informatica and Reltio to supply high-quality structured data to ML systems. Utilize SQL and Python for data engineering, data wrangling, and pipeline automation. Build scalable APIs and services to serve GenAI models in production. Lead cross-functional collaboration with data scientists, engineers, and product teams to scope, design, and deploy AI-powered systems. Ensure model governance, version control, and auditability aligned with regulatory and compliance expectations. Basic Qualifications and Experience: Masters degree with 4 - 6 years of experience in Business, Engineering, IT or related field OR Bachelors degree with 6 - 9 years of experience in Business, Engineering, IT or related field OR Diploma with 10 - 12 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: 6+ years of experience working in AI/ML or Data Science roles, including designing and implementing GenAI solutions. Extensive hands-on experience with LLM frameworks and tools such as Langchain, Autogen, Hugging Face, OpenAI APIs, and embedding models. Strong programming background with Python, PySpark, and experience in building scalable solutions using TensorFlow, PyTorch, and SK-Learn. Proven track record of building and deploying AI/ML applications in cloud environments such as AWS. Expertise in developing APIs, automation pipelines, and serving GenAI models using frameworks like Django, FastAPI, and DataBricks. Solid experience integrating and managing MDM tools (Informatica/Reltio) and applying data governance best practices. Guide the team on development activities and lead the solution discussions Must have core technical capabilities in GenAI, Data Science space Good-to-Have Skills: Prior experience in Data Modeling, ETL development, and data profiling to support AI/ML workflows. Working knowledge of Life Sciences or Pharma industry standards and regulatory considerations. Proficiency in tools like JIRA and Confluence for Agile delivery and project collaboration. Familiarity with MongoDB, VectorStores, and modern architecture principles for scalable GenAI applications. Professional Certifications : Any ETL certification (e.g. Informatica) Any Data Analysis certification (SQL) Any cloud certification (AWS or AZURE) Data Science and ML Certification Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams.

2-5 yrs exp with hands-on AI/ML and generative AI expertise. Proficient in Python & have experience building scalable backend services using FastAPI, Flask, Django. Familiar with GenAI tools such as OpenAI APIs, Hugging Face, LangChain, Transformers. Food allowance Health insurance Provident fund

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Assistant Manager, Data Analytics & Reporting The Role demands for a highly qualified professional with experience in Data Analytics, Reporting, Automation using Python/PySpark/SQL, Statistical modelling, Knowledge of healthcare datasets (LAAD, APLD, Xponent, Prescriber-level data), and Visualization using PowerBI. Responsibilities . Analyze datasets like LAAD, APLD, Xponent, Prescriber-level data to answer business questions and to create data models which would be further used for data modelling and visualization. . Perform deep-dive analytics to create reports on drug markets. . Perform data evaluation for its relevance to existing and upcoming business needs. . Perform statistical analysis like descriptive analysis, test-control matching, PSM, etc. for various use cases. . Use techniques like classical machine learning (Regression & Clustering), XGBoost, Decision Trees, etc. for predictive analysis. . Build and maintain data pipelines on Databricks using PySpark, Python, and SQL. . Ensure data integrity, preprocessing, and transformation for robust analytics . Develop interactive dashboards using Power BI to drive strategic insights. . Maintain all the Power BI dashboards already in production along with weekly QCs to ensure correct reporting. . Identify opportunities to improve and optimize the dashboards. Qualifications we seek in you! Minimum Qualifications . Engineering or Economics or Statistics graduation with relevant experience in data analytics within the life-sciences & pharma domain . Highly skilled in Data science & statistical techniques . Proficiency in Python/R, PySpark and SQL . Experience of developing dashboards in Power BI preferred . Experience of working on major pharma commercial datasets . Effective verbal & written communication, and good storyboarding skills to present results to stakeholders . Strong problem-solving and critical thinking skills . Zeal to automate and bring efficiencies and develop advanced analytics capabilities to progress offerings Preferred Qualifications/ Skills . Ability to work cross-functionally with business and technical teams . Able to nurture robust working relationships with the team, peers, and clients, scheduling flexibility required . Overall candidate should have problem-solving, macro-level research and analytics approach and good at numbers . Experience in using and integrating GenAI methods (OpenAI API, Copilot integration, ThoughtSpot) . Effective communication and interpersonal skills Why join Genpact . Lead AI-first transformation - Build and scale AI solutions that redefine industries . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career&mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills . Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace . Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Job Description: We are seeking a highly skilled and passionate AI/ML Engineer with strong expertise in Generative AI and Large Language Models (LLMs) . The ideal candidate will have hands-on experience in building, fine-tuning, and deploying agentic AI systems using modern GenAI frameworks. You will work on cutting-edge projects involving prompt engineering , RAG pipelines , and memory architectures such as vector databases. Responsibilities: Design and implement AI/ML solutions using modern LLM architectures and agentic AI concepts . Build and optimize intelligent agents using frameworks such as LangChain, AutoGen, CrewAI , or Semantic Kernel . Develop and fine-tune generative AI models with Transformers , HuggingFace , OpenAI API , etc. Implement and enhance Retrieval-Augmented Generation (RAG) pipelines and memory systems like vector databases (e.g., FAISS, Pinecone). Write high-performance Python code to support experimentation, model integration, and API interactions. Collaborate cross-functionally with product, design, and engineering teams in an agile development environment. Deploy AI solutions on cloud platforms (AWS, Azure, or GCP) with a focus on scalability and performance. Stay updated with the latest advancements in the AI/ML/GenAI space. Required Experience: 3 to 8 years of experience in AI/ML , with at least 1 year in Generative AI / LLM-based projects . Proven expertise in Python programming and related libraries for ML/GenAI. Hands-on experience with one or more GenAI frameworks (LangChain, AutoGen, etc.). Solid understanding of prompt engineering , RAG , vector DBs , and agent-based systems . Cloud deployment experience (AWS, Azure, or GCP) is a must. Strong analytical and problem-solving skills.

Position: Junior AI Research Engineer (Generative AI) Location: Noida Company: CodeFire Technologies Pvt. Ltd. About the Role: Looking for a sharp and motivated Junior AI Research Engineer to join our team and work on cutting-edge Generative AI projects. If you're from a premier institute (IIT/NIT/IIIT/Passionate Coder), work on cutting edge Gen AI solutions, and love solving complex problems, this is your chance to work hands-on with large language models, GenAI tools, and cutting edge AI solutions. What You'll Do: 1. Understand nuances of multiple LLMs and use them in developing applications 2. Explore different techniques of prompt engineering and measure its impact on solutions 3. Look out for latest research and keep yourself updated 4. Be part of core group that leads Gen AI practice in the company What We're Looking For: 1. Recent graduate (any branch) from IIT/NIT/IIIT/Passionate Coder 2. Strong analytical and logical reasoning 3. Research oriented mindset 4. Passionate to be on the forefront of GenAI revolution 5. Hands-on experience (projects, papers, GitHub, etc.) in AI 6. Worked with Python, PyTorch/TensorFlow, LangChain, or OpenAI APIs Why Join Us: 1. Work on meaningful, cutting edge, real-world GenAI applications 2. Mentorship from experienced tech leaders 3. Flexible and innovation-driven culture 4. Exposure to early-stage AI product building Apply Now Share your resume and AI project work at hr@codefire.in or whatsapp 7042203446

Node.JS developer- Remote Experience: 5 - 8 Years Exp Salary : Upto USD 2,500 / month Preferred Notice Period : Within 30 Days Shift : 1:30PM to 9:30PM IST Opportunity Type: Remote Placement Type: Contractual Contract Duration: Full-Time, 06 Months (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Nodejs, Python Good to have skills : OpenAI API UK IT Services and IT Consulting (One of Uplers' Clients) is Looking for: Node.JS developer- Remote 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 Role: Node.js Developer- Remote Engagement type: Fulltime Contractual - 6 months (Possible for extension) Work Mode: Remote Roles and Responsibilities : Develop, maintain, and improve our platform using Node.js, Python, and integrating with the OpenAI API. Engage in the research, development, and integration of generative AI algorithms to enhance our products. Collaborate with cross-functional teams to define, design, and ship new features. Contribute to the development of virtual assistants, ensuring seamless user experiences, and leveraging the capabilities of OpenAI's Whisper ASR system. Dive deep into the realms of Neural Radiance Fields (NERFs) and its applications. Participate in code reviews, ensuring the highest level of quality and adherence to best practices. Stay updated with the latest industry trends and technologies to ensure our platform remains at the forefront. Requirements : Key Skills & Qualifications: Proficient in Node.js and Python with a minimum of 3 years of experience. Experience with OpenAI API and its suite of tools. Familiarity with Whisper Automatic Speech Recognition (ASR) system. Prior experience with generative AI and virtual assistants is highly desirable. Familiarity or experience with Neural Radiance Fields (NERFs) will be a significant plus. Strong understanding of software development best practices and design principles. Excellent problem-solving skills and the ability to think critically and innovate. Strong written and verbal communication skills. Desirable Experience: Hands-on experience with generative AI frameworks and tools. Practical knowledge in developing and deploying virtual assistants. Previous work in projects involving Neural Radiance Fields (NERFs). 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 Client: They're pioneering the intersection of technology and humanity. They believe in pushing the boundaries of what machines can do while keeping the human touch at the core of their innovations. If you're passionate about cutting-edge technologies and creating next-generation solutions, this is the place for you. It's a 2 month old start-up where team of 2 people for now. The CEO & CTO is someone who is running the organization. Why Join ? - Be at the forefront of technological innovation, working with notable tech stacks like OpenAI. - Work with a dynamic and passionate team. - Engage in exciting projects that challenge the status quo. - Competitive salary and benefits. - Opportunities for growth and learning in a fast-paced environment. If you're excited about shaping the future of human-machine collaboration, they'd love to hear from you. Apply today! Few blogs by Tom on AI as below :https://www.linkedin.com/feed/update/urn:li:activity:7218517175513313280/ 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!

About the Role We are looking for a Senior Data Scientist to come and work on our growing AI stack. You will be working with a team of highly skilled and motivated data scientists and machine learning engineers. If you are excited about natural language understanding and machine translation, AppZen is the right place for you to apply and grow your skills. Key Responsibilities: Solid understanding of machine learning fundamentals, and familiar with standard algorithms and techniques Solid understanding of Python programming, including core data structures (lists, dicts, sets, tuples), object-oriented design, and writing clean, modular, and maintainable code. Experience with code optimization techniques, including efficient memory and runtime usage, vectorization (NumPy/Pandas), and debugging performance bottlenecks. Hands-on experience with LLMs such as GPT, LLaMA, or Claude, including evaluation and integration into production pipelines. Proficiency in using GenAI frameworks and tools (e.g., Hugging Face Transformers, LangChain, OpenAI APIs, vLLM, or AutoGen) to build, customize, and deploy language-based solutions. Ability to analyze, evaluate, and optimize LLM outputs for accuracy, safety, relevance, and bias mitigation in enterprise use cases. Work with internal and external stakeholders on program management Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful Excellent written and verbal technical communication skills; communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions M.Tech/B.Tech. or equivalent experience in Computer Science, Engineering, Statistics, or other relevant technical field Must have 6+ years of industry experience You are a team player Nice-to-Have: Track record of having developed novel algorithms, e.g. publications in one or more of the following: KDD, WWW, NIPS, ISWC, NAACL, ACL, SIGIR, EMNLP, ICML etc Good Understanding of MLOps tools/processes like ElasticSearch, Jenkins, Docker is plus. Expertise in building and fine-tuning LLM models using Transformers and RAG systems.