1522 Openai Jobs - Page 20

We're seeking a talented LLM App Senior Developer with a strong foundation in Python and JavaScript and Azure / AWS Cloud to join our team. The ideal candidate will have a passion for leveraging the power of LLMs to create innovative and efficient applications. Job Description: Responsibilities : Develop and maintain LLM-powered applications using Python/JavaScript on Azure or AWS cloud platforms. Integrate LLM apps with foundational models using multiple techniques and methods Design and develop Virtual Assistants, AI Workflows, and other LLM-powered apps that interface with a variety of different LLM models Leverage external data and content sources to ground LLM outputs Design and implement Integrations and APIs to augment the LLM Collaborate with cross-functional teams to understand business requirements and deliver solutions that meet their needs. Stay up to date with the latest advancements in LLM technology and cloud platforms. Required Skills (Must Have): Language: Strong proficiency in Python programming language. Cloud LLM API: Expertise with Azure OpenAI or AWS Bedrock service, foundation models, and integration Vector DB: Expertise with Azure AI Search service, or otherwise with AWS OpenSearch / Kendra for AI Search queries Prompt engineering: Strong Expertise with Prompt engineering and Prompt Design, including multiple prompting methods, for LLM apps Patterns RAG Expertise with building end-to-end RAG (Retrieval Augmented Generation) pipelines, using vector databases, LLM models, and tool integrations Experience with building conversational virtual assistants and chatbots Understanding of API integration and data workflows LLM framework: Experience with at least one LLM framework – Langchain, Llamaindex, or other LLM models - In-depth knowledge of LLM models and their applications. Advanced LLM/AI Development skills Experience with Agentic Architectures and AI Agents, and ability to create a solution using agents on either Azure or AWS Cloud Ability to design and develop scalable and efficient applications. Serverless: Experience with Azure Function Apps or AWS Lamba functions Cloud: Experience with Azure or AWS cloud platforms Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Preferred Skills (Good to Have): Experience with AI Workflows and Low-Code AI Workflow Builder tools, such as Copilot Studio, Azure Prompt Flows, AWS Prompt Flows Knowledge of AI Agents and building intelligent solutions using AI agent orchestrations. Knowledge of AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of building cloud services and cloud back-end integrations using Serverless models Familiarity with data extraction and transformation techniques. Experience with natural language processing (NLP) tasks. Qualifications : Bachelor’s degree in computer science, Computer Engineering, or a related field. 3+ years of experience in software development. Experience with LLM applications and cloud platforms. Strong understanding of software development methodologies (e.g., Agile). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent Show more Show less

We’re Eagerminds — an AI-first product studio helping startups ship cloud-native features in days. If you love building fast, clean, and scalable web apps—and want to work at the intersection of code, cloud, and AI—we’d love to meet you. What You’ll Own Design, build, and maintain APIs and backend systems in Node.js Architect relational data models and write efficient queries in PostgreSQL Collaborate closely with frontend and DevOps to ship complete features Follow best practices in code quality, performance, and security Integrate new AI capabilities into real-world web applications Debug in production and continuously improve app performance What You Bring 3–4 years of full-stack experience (strong backend focus) Deep knowledge of Node.js , Express/Nest , and PostgreSQL Experience working with REST/GraphQL APIs and CI/CD workflows Git, testing, basic frontend knowledge (React/Next is a plus) Curiosity, fast learning, and clear communication in English/Hindi/Gujarati Bonus Points Familiarity with AWS (Lambda, RDS, ECS, IAM, etc.) TypeScript, Prisma, or any ORM experience Exposure to LLMs, vector DBs, or OpenAI tools Built and deployed production apps from scratch Why Eagerminds Direct impact—your code ships to users the same week Tight-knit, no-bureaucracy team building modern AI + AWS products Competitive salary + performance bonus MacBook, 27″ monitor, flexible hours (on-site), Friday demos, learning stipend How to Apply: Email your resume, GitHub/projects, and expected CTC to admin@eagerminds.io Subject: Full-Stack Engineer – [Your Name] Show more Show less

Role Overview Build and deploy an end-to-end AI-driven SEO agent platform. You will own everything from prompt-engineering and RAG pipelines to CMS integration, staging environments, CI/CD, and a minimal frontend or plugin for demos. Key Responsibilities Design and implement LLM-powered agents (prompt flows, retrieval-augmented generation, embedding stores) using frameworks like LangChain, LlamaIndex (formerly GPT Index), or similar. Prototype and integrate vector-based retrieval with Pinecone, Weaviate, or Milvus. Build and secure REST APIs for WordPress, Shopify, headless CMS or React/Node.js platforms. Containerize services with Docker; orchestrate staging via Kubernetes or Terraform. Implement CI/CD pipelines (GitHub Actions, GitLab CI) with rollback and health-check gates. Scaffold lightweight frontend components or CMS plugins (React/Vue) to showcase agent capabilities. Automate SEO tasks on-page (metadata, schema injection), internal linking, and 404 recovery via code. Collaborate with prompt engineers and QA to validate agent outputs before production push. Required Experience 2+ years of software engineering with 2+ years in AI/ML or NLP projects. 1-3 years Python (FastAPI, Django) for API and agent development. Hands-on with LLM models (OpenAI GPT-4, Claude, or self-hosted LLaMA/Meta’s models) and fine-tuning pipelines. Experience with prompt frameworks: LangChain, LlamaIndex, Haystack, or equivalent. Proven RAG (Retrieval-Augmented Generation) implementation experience. Proficiency in Node.js and React (or Vue) for plugin/UI development. Strong background in Docker, Kubernetes (or Terraform), and CI/CD tools. Familiarity with CMS integration: WordPress REST API, Shopify Admin API, or headless CMS APIs. Solid prompt-engineering skills: few-shot, chain-of-thought, retrieval-augmented prompts. Knowledge of SEO best practices: metadata, JSON-LD schema, internal linking, and redirect management. Experience writing automated tests and health-check scripts for staging validations. Nice-to-Have Prior work on SEO automation, site-audit tooling, or custom CMS plugins. Experience deploying or fine-tuning open-source LLMs (e.g., LLaMA, Falcon, MPT). Exposure to Haystack, Retrieval QA stacks, or vector pipeline orchestration. Familiarity with monitoring/logging stacks (Prometheus, ELK, Grafana). Basic understanding of frontend styling (Tailwind, Material UI) for rapid prototyping. Apply if you can take full ownership of AI agent development and deployment, leveraging LangChain, style frameworks, and a range of LLMs, to deliver a working MVP in 4–6 weeks. Show more Show less

Description And Requirements CareerArc Code CA-PS Hybrid "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The DSOM product line includes BMC’s industry-leading Digital Services and Operation Management products. We have many interesting SaaS products, in the fields of: Predictive IT service management, Automatic discovery of inventories, intelligent operations management, and more! We continuously grow by adding and implementing the most cutting-edge technologies and investing in Innovation! Our team is a global and versatile group of professionals, and we LOVE to hear our employees’ innovative ideas. So, if Innovation is close to your heart – this is the place for you! BMC is looking for a Python Developer, an innovator at heart, to join a team of highly skilled software developers, responsible for BMC’s Helix Capacity Optimization product. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Assist in developing AI-powered QA automation tools using LLMs Collaborate with QA engineers to understand test requirements and translate them into automated scripts Use LLMs to generate test cases, validation scripts, and test data automatically Maintain, debug, and optimize automated test scripts and frameworks Integrate LLM-based solutions into existing CI/CD pipelines and QA workflows Document automation processes and assist with training teams on new AI-driven QA tools Continuously research and apply advancements in LLMs and AI for QA improvements To ensure you’re set up for success, you will bring the following skillset & experience: You have 3 – 5 years for software development experience You have experince of basic programming skills in Python, JavaScript, or relevant languages for automation You have understanding of software testing concepts and QA automation tools (e.g., Selenium, Cypress, JUnit) You have some experience in AI, NLP, or machine learning concepts You are familiarity with version control systems such as Git You have strong problem-solving skills and ability to learn quickly in a dynamic environment Whilst these are nice to have, our team can help you develop in the following skills: Experience with AI/ML frameworks like PyTorch or TensorFlow Familiarity with Large Language Models such as GPT, BERT, or OpenAI APIs Knowledge of continuous integration tools (Jenkins, GitHub Actions) Exposure to writing or maintaining automated test frameworks Understanding of cloud environments for deploying automation solutions BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 1,180,000 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply. Min salary 885,000 Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page. Mid point salary 1,180,000 Max salary 1,475,000 Show more Show less

🚀 AI/ML Solution Engineer Internship (On-site, Ahmedabad) Start Your Real Tech Career — Build. Deploy. Scale. Location: Ahmedabad (Office-based Only) Internship Duration: 8 Months Training + 1.5 Year Post-Training Bond About the Opportunity: Are you a recent graduate eager to move beyond online courses and actually build and deploy real AI models ? Whatmaction is offering a career-launching opportunity as an AI/ML Solution Engineer Intern — not just an internship, but a full-fledged deep tech journey . If you’re serious about working with production-grade AI, this is where your transformation begins. What You’ll Experience: 🧠 8 Months of Intense Training Like a bootcamp for your brain — hands-on learning, project-based tasks, and direct mentoring from senior engineers. ⚙️ Real-World AI/ML Projects Build and deploy production-level AI systems , including resume parsing tools, chatbots, and smart automation systems. 📦 Model Development: From Scratch & Prebuilt You’ll train models using open-source datasets, fine-tune pre-trained models, and learn how to build custom models from scratch — the real way. 🚀 Production Deployment You’ll also gain hands-on experience in model deployment , REST API integration, and making models accessible in real-time applications. Key Skills & Tech Stack: Languages: Python (strong foundation required) Bash/Shell scripting (basic) AI/ML Libraries: Scikit-learn SpaCy TensorFlow / PyTorch Keras Transformers (Hugging Face) XGBoost / LightGBM OpenCV (for CV tasks) Pandas / NumPy Matplotlib / Seaborn Tools & Platforms: Jupyter Notebooks / Google Colab Git & GitHub Postman Docker (for packaging ML apps) MLflow (for model tracking and versioning) Streamlit / FastAPI / Flask (for ML APIs) Firebase / AWS / Render (for model hosting) PostgreSQL / MongoDB (data handling) Core Concepts: Supervised / Unsupervised Learning Data Preprocessing & Feature Engineering Natural Language Processing (NLP) Model Evaluation & Hyperparameter Tuning Working with Pre-trained Embeddings ML Model Deployment (API-first mindset) Bonus Skills (Good to Have): Working with OpenAI / Hugging Face APIs Building AI Chatbots Basic Backend API skills (FastAPI preferred) Version control with Git Using LangChain / RAG techniques (optional) Who Should Apply: Fresh graduates (2023–2025) from B.Tech / MCA / BCA / M.Sc IT or equivalent. Passionate about AI, ML, and solving real-world problems . Willing to commit to 8 months of full-time training and 1.5-year project bond . Looking to build an actual career , not just do tasks. 📩 How to Apply: Send your updated resume to hr@whatmaction.com with the subject “AI/ML Internship Application – [Your Name]” 🔒 Note: This is an on-site only opportunity. Remote applications will not be considered. This is your launchpad. Build, deploy, and ship AI products that matter — with us at Whatmaction. Show more Show less

Job Title: Summer Internship – Development & Business Development Career page: services.cehpoint.co.in/careers Internship Mode: Remote Duration: 6–8 Weeks Eligibility: B.Tech (All Branches), BBA, MBA Stipend: Performance-Based Pre-Placement Offer (PPO): Available for top performers Job Description: Cehpoint is offering a summer internship program that provides hands-on exposure to real startup environments. The internship includes roles in both Development and Business Development, allowing students to work on live projects and develop industry-relevant skills under expert guidance. Roles and Responsibilities For Development Interns (B.Tech): Develop mobile applications using Flutter Firebase or React Native Firebase Build web platforms using MERN Stack Integrate APIs and AI tools such as OpenAI and Gemini Contribute to UI/UX using Figma and Tailwind CSS For Business Development Interns (BBA/MBA): Conduct lead generation and market research Run client outreach campaigns via LinkedIn, email, and freelance platforms Prepare business proposals and marketing strategies Handle client follow-ups, demos, and CRM management Requirements: Strong communication and teamwork skills Ability to commit 6 hours per day, Monday to Saturday Self-driven attitude with a willingness to learn Domain-specific knowledge or interest in tech or sales Perks and Benefits: Internship Completion Certificate Letter of Recommendation based on performance PPO opportunity for top-performing interns Practical experience on live startup projects Application Process: Send your updated CV and mention your preferred domain (Development or Business Development) to internship@cehpoint.co.in Show more Show less

About the Company: Zetheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official About the Role: The Prompt Engineer Intern will be responsible for designing, developing, and optimizing AI prompts and workflows to enhance our AI Coach, AI ChatBots, LLM connected games, FinTech tools, models, and websites. This includes creating prompt templates, integrating LLM capabilities, testing model outputs, and developing AI-driven features for financial applications. Responsibilities: Design and optimize prompts for large language models (LLMs) to support our applications. Develop prompt templates and workflows for financial data analysis, risk assessment, and customer support. Create and maintain prompt libraries for various AI-powered features across our platforms. Integrate AI/LLM capabilities into existing web applications and tools. Test, evaluate, and iterate on prompt performance to ensure accuracy and reliability. Work with APIs from AI service providers (OpenAI, Anthropic, Google AI, etc.). Collaborate with development team to implement AI features in frontend and backend systems. Develop conversational AI interfaces for customer interactions and financial advisory services. Create documentation and best practices for prompt engineering workflows. Conduct A/B testing on different prompt variations to optimize performance. Research and implement emerging prompt engineering techniques and methodologies. Ensure AI outputs comply with financial regulations and ethical guidelines. Qualifications: No experience required and students, fresh graduates, MBAs are welcome to apply. Basic understanding of large language models (LLMs) and prompt engineering principles. Familiarity with AI APIs and services (OpenAI GPT, Claude, Gemini, etc.). Strong analytical and problem-solving skills with attention to detail. Basic programming skills in Python, JavaScript, or similar languages. Understanding of FinTech domain, financial concepts, and regulatory considerations. Experience with prompt testing and evaluation methodologies. Knowledge of API integration and JSON/REST protocols. Ability to work independently in a remote setting. Strong written communication skills for creating clear and effective prompts. Benefits: Opportunity to build practical skills with cutting-edge AI and prompt engineering technologies. Enhance your professional portfolio with real-world AI implementation projects. Exposure to FinTech industry and AI-driven financial solutions in a remote work environment. Gain experience with the latest LLMs and prompt optimization techniques. Internship Details: Duration: Self paced, 1month, 2 months and 4 months option available. Type: Unpaid Show more Show less

Job Title: AI Solution architect Location: Remote Job Responsibilities: Collaboratively design and implement generative AI solutions using agile methodologies to meet customer-specific needs and operational requirements. Leverage frameworks such as NVIDIA NeMo, OpenAI APIs, and Avatar/Digital Person AI, ensuring optimal compatibility, performance, and customization. Design, deploy, and optimize AI workloads across hybrid and multi-cloud environments, ensuring data integrity, cost-efficiency, and performance optimization. Enhance solution architectures with scalability, reliability, and compliance in mind to align with evolving business needs and industry standards. Develop and deploy templates, governance models, and reusable assets to accelerate the development and deployment of AI solutions. Drive automation of managed offerings across hybrid infrastructures to ensure efficiency and operational excellence. Promote security, compliance, and ethical AI practices to align solutions with legal and societal standards. Qualifications: Experience with NVIDIA NeMo, OpenAI, and NLP technologies. Proficient in TensorFlow, PyTorch, or equivalent frameworks. Expertise in containers, Kubernetes, serverless computing, and DevOps practices. Deep understanding of AWS, Azure, and Google Cloud Platform (GCP) for hybrid setups. Strong proficiency in Python and familiarity with related libraries such as Keras and scikit-learn. Hands-on experience in deploying LLMs, CNNs, RNNs, GANs, and reinforcement learning architectures. Knowledge of tokenization, embeddings, and transformer-based models. Exceptional communication skills including the ability to articulate complex solutions to technical and non-technical audiences. BS/MS in Computer Science, Software Engineering, or equivalent. AI/ML Certifications: TensorFlow Developer Certificate, NVIDIA Certified AI Developer, or equivalent. Familiarity with non-NVIDIA AI platforms such as Red Hat, AMD, or Intel AI is a plus. Show more Show less

The GlobalHealthX is a startup venture studio/innovation exchange working at the intersection of healthcare, life sciences and technology and is looking to hire a passionate R&D engineer who has prior hands on experience in building scalable E2E AI solutions. Some key requirements for the applicant are: Prior experience with neural networks and computer vision models Working experience with LLMs and associated tooling. Knowledge of LLM inference providers and associated integrations. Must possess strong system design acumen with a focus on engineering fundamentals. Should be able to design and build robust scalable systems. Should be able to translate problem statements into E2E design, development and delivery. An eagerness and appetite to keep on top of the developing AI space Hands on experience with technologies such as: Python, PyTorch, Langchain, Langraph, AutoGen, DSPy, Tracing and Eval tools. Inference backends such as Ollama, Llama.cpp, vLLM or others Integrations with inference providers such as OpenAI, Anthropic, VertexAI, DeepSeek etc. Training or fine tuning models using techniques such as LORA, SFT, DPO etc. Prototype building with Gradio, Streamlit. Database and schemas including vector databases: Great if any prior experience building use cases such as RAG, Graph RAG MLOps : Prompt management, deploying and maintaining AI models or workflows. Experience: 3-5 Years (At least 1 year working with GenAI based projects) Show more Show less

Job Description Posted Wednesday, June 11, 2025, 7:30 PM | Expires Thursday, July 31, 2025, 7:29 PM Who We Are Magnit is the future of work. Serving hundreds of the world’s most recognizable brands for the past 30+ years, Magnit offers the industry’s first holistic platform for the modern workforce. Magnit's integrated workforce management (IWM) platform supported by data, software, intelligence, and best-in-class services team is key to our clients’ success. It can adapt quickly to regional or industry economic shifts, and provides the speed, scale, flexibility, transparency, and expertise required to meet an organization’s contingent workforce management, talent strategy and broader organization goals. At Magnit, you’ll work with passionate colleagues who collaborate and deliver meaningful results that positively transform the largest companies around the globe. Senior AI & ML Platform Engineer Location: Bengaluru Experience Level: 3–10 Years About the Role We are building next-generation AI-powered platforms that leverage Large Language Models (LLMs), advanced Machine Learning (ML), NLP, and agentic workflows to automate critical business processes across multiple domains. We are looking for experienced AI/ML Engineers who are passionate about building real-world AI products—not just experimenting. You will help design, prototype, and deploy intelligent systems integrating LLMs, agents, APIs, and robust ML models for classification, prediction, and optimization. Responsibilities Build and integrate agentic AI workflows using LangChain or similar frameworks. Develop APIs and backend services to support LLM and ML-driven platforms. Implement, train, and optimize lightweight and scalable ML models for classification, prediction, and anomaly detection. Work with LLMs (OpenAI, Claude, Gemini) to fine-tune prompts, create retrieval-augmented generation (RAG) systems, and chain multi-step tasks. Design and optimize vector search implementations for LLM-driven applications. Integrate AI models with external systems (VMS platforms, ERP systems) using APIs. Implement document processing pipelines combining OCR with LLM/ML validation. Apply ML techniques for supply-demand forecasting, fraud detection, and optimization. Participate in design discussions, brainstorming sessions, and agile sprints. Collaborate with senior AI architects and SMEs to refine platform capabilities. Required Skills Strong experience in Python for ML and AI development. Expertise in ML frameworks such as TensorFlow, PyTorch, scikit-learn. Knowledge of NLP tasks (text extraction, classification, summarization). Experience building and optimizing RAG workflows with vector databases. Solid understanding of API development (FastAPI, Flask, or similar frameworks). Familiarity with prompt engineering and agent orchestration concepts. Ability to build scalable ML models for classification, forecasting, and anomaly detection. Experience integrating ML solutions with cloud services (AWS, Azure, GCP). Knowledge of OCR tools and techniques for document processing. Exposure to multi-agent architectures and reinforcement learning is a plus. Understanding of feature engineering, model evaluation, and optimization techniques. Mindset We Are Looking For Builder’s mindset: You love turning ideas into working solutions fast. Curiosity: Passionate about keeping up with the latest in GenAI and ML. Problem-solver: Comfortable working in ambiguous environments where solutions need discovery, not just execution. Collaboration: Open to learning from senior architects and iterating based on feedback. What Magnit will Offer You At Magnit, you’ll be joining an innovative, high-growth environment and can quickly make an impact to help transform the largest companies in the world. You will work with passionate colleagues who collaborate and deliver. Magnit offers all employees the opportunity for growth and development, and we want individuals to fulfill their potential and blaze their own trails! Magnit will offer you a competitive PTO and benefits package, including medical, dental, and vision coverage, retirement planning, as well as discounts and perks for tickets, travel, merchandise and more! Magnit encourages employees to participate in giving back, and we will match employee contributions to favorite charities and support corporate volunteering hours to make a difference in your community! If this role isn’t for you Stay in touch, we will let you know when we have new positions on the team. To see a complete list of our open career opportunities please visit. https://magnitglobal.com/us/en/company/careers.html To do our best work we need different viewpoints. Therefore, we celebrate diversity and embrace inclusion. As an equal opportunity employer, we are dedicated to building a team that represents a variety of backgrounds, perspectives, and skills. We strive to ensure that we maintain a positive and enriching work environment for all. By applying to this role, you consent to Magnit safely storing and managing your personal data. Please read this link to learn more. https://magnitglobal.com/us/en/privacy-notice.html Job Details Job Family Staff Jobs Pay Type Salary Bengaluru, Karnataka, India

Role : ML Engineer (6-10 years experience) with ML and LLM skill set Location : Indore, MP, Bangalore Qualifications Bachelor's degree in computer science & engineering. 6-10 years of Proven experience as a Machine Learning Engineer or similar role with LLM skill set Sound theoretical and practical knowledge of working with machine learning algorithms and hands-on with LLM : Develop end-to-end machine learning pipeline which includes model development, refining, and implementation for variety of analytics problems. Communicate results to diverse technical and non-technical audiences. Provides LLM expertise to solve problems using state-of-the-art language models and off-the-shelf LLM services, such as OpenAI models etc. Along with knowledge around Retrieval augmented generation and relevant techniques to improve performance & capabilities of LLMs Research and Innovation: Stay up to date with the latest advancements in the fields of AI. Probem-solving and code debugging skills. Hands on practical experience with usage of large language and generative AI models both proprietary and opensource, including transformers and GPT models (preferred) Mandatory Skills Libraries : Python, Scikit-Learn, PyTorch, LangChain, Transformers Techniques : Exploratory Data Analysis, Machine Learning and Neural Networks Machine learning model building, Hyperparameter tuning and Model performance metrics and Model Deployment Practical knowledge of LLM and its finetuning Good To Have Skills Deep Learning MLOps SQL (ref:hirist.tech) Show more Show less

We are looking for a highly skilled Generative AI Developer : Responsibilities We are looking for a highly skilled Generative AI Developer with expertise in Large Language Models (LLMs) to join our AI/ML innovation team. The ideal candidate will be responsible for building, fine-tuning, deploying, and optimizing generative AI models to solve complex real-world problems. You will collaborate with data scientists, machine learning engineers, product managers, and software developers to drive forward next-generation AI-powered Responsibilities : Design and develop AI-powered applications using large language models (LLMs) such as GPT, LLaMA, Mistral, Claude, or similar. Fine-tune pre-trained LLMs for specific tasks (e.g., text summarization, Q&A systems, chatbots, semantic search). Build and integrate LLM-based APIs into products and systems. Optimize inference performance, latency, and throughput of LLMs for deployment at scale. Conduct prompt engineering and design strategies for prompt optimization and output consistency. Develop evaluation frameworks to benchmark model quality, response accuracy, safety, and bias. Manage training data pipelines and ensure data privacy, compliance, and quality standards. Experiment with open-source LLM frameworks and contribute to internal libraries and tools. Collaborate with MLOps teams to automate deployment, CI/CD pipelines, and monitoring of LLM solutions. Stay up to date with state-of-the-art advancements in generative AI, NLP, and foundation Skills Required : LLMs & Transformers: Deep understanding of transformer-based architectures (e.g., GPT, BERT, T5, LLaMA, Falcon). Model Training/Fine-Tuning: Hands-on experience with training/fine-tuning large models using libraries such as Hugging Face Transformers, DeepSpeed, LoRA, PEFT. Prompt Engineering: Expertise in designing, testing, and refining prompts for specific tasks and outcomes. Python: Strong proficiency in Python with experience in ML and NLP libraries. Frameworks: Experience with PyTorch, TensorFlow, Hugging Face, LangChain, or similar frameworks. MLOps: Familiarity with tools like MLflow, Kubeflow, Airflow, or SageMaker for model lifecycle management. Data Handling: Experience with data pipelines, preprocessing, and working with structured and unstructured Desirable Skills : Deployment: Knowledge of deploying LLMs on cloud platforms like AWS, GCP, Azure, or edge devices. Vector Databases: Experience with FAISS, Pinecone, Weaviate, or ChromaDB for semantic search applications. LLM APIs: Experience integrating with APIs like OpenAI, Cohere, Anthropic, Mistral, etc. Containerization: Docker, Kubernetes, and cloud-native services for scalable model deployment. Security & Ethics: Understanding of LLM security, hallucination handling, and responsible AI : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. 2-4 years of experience in ML/NLP roles with at least 12 years specifically focused on generative AI and LLMs. Prior experience working in a research or product-driven AI team is a plus. Strong communication skills to explain technical concepts and findings Skills : Analytical thinker with a passion for solving complex problems. Team player who thrives in cross-functional settings. Self-driven, curious, and always eager to learn the latest advancements in AI. Ability to work independently and deliver high-quality solutions under tight deadlines. (ref:hirist.tech) Show more Show less

Are you an experienced D365 professional with a passion for cutting-edge AI technologies? We're seeking a highly motivated and skilled D365 Techno-Functional Consultant to join our remote team. This is an exciting opportunity to work directly with clients, leveraging your expertise in Microsoft Dynamics 365 and shaping innovative solutions with the latest Copilot technologies. If you thrive in a fast-paced, AI-driven environment and are eager to make a significant impact, we encourage you to apply! Responsibilities As a D365 Techno-Functional Consultant, you will be instrumental in bridging the gap between business needs and technical solutions, with a strong focus on Microsoft Copilot. Your Key Responsibilities Will Include Client Collaboration & Requirements Gathering : Directly engage with clients to deeply understand their business challenges, gather detailed requirements, and propose effective Copilot-based solutions that align with their strategic goals. Solution Design & Development : Design, develop, and deliver compelling Proof of Concepts (POCs) and robust, full-scale solutions utilizing various Microsoft Copilot technologies. Demonstration & Presentation : Create and present dynamic demo solutions that clearly showcase the powerful capabilities of Copilot Studio, Teams Copilot, M365 Copilot, and their seamless integrations with Azure/OpenAI. Project Leadership & Management : Take ownership of end-to-end Copilot project delivery, ensuring high-quality outcomes, adherence to timelines, and exceptional client satisfaction. Mentorship & Knowledge Sharing : Act as a valuable mentor and guide for internal teams, conducting insightful training sessions and facilitating knowledge sharing on Copilot-related tools, best practices, and emerging trends. Continuous Learning & Adaptation : Stay ahead of the curve by continuously updating your knowledge on the latest releases, enhancements, and best practices within Microsoft's rapidly evolving Copilot ecosystem. Internal Asset Development : Contribute to the development of internal assets, accelerators, and reusable components specifically related to Copilot automation and AI solutions, enhancing our capabilities. Pre-Sales Support : Collaborate closely with pre-sales teams, providing expert assistance in solutioning and contributing to the creation of compelling technical proposals for Copilot-related Skills & Qualifications : We are looking for a candidate with 5+ years of experience in a D365 techno-functional role, possessing a strong foundation in Microsoft technologies and an eagerness to specialize in AI. Microsoft Dynamics 365 Expertise : Proven techno-functional experience with Microsoft Dynamics 365. Copilot Studio Knowledge : A basic to intermediate understanding of building copilots using Copilot Studio's low-code interface. Copilot Familiarity : Familiarity with Copilot in Teams and M365, including their various usage scenarios and potential applications. Power Platform Exposure : Practical exposure to key Power Platform components, including Power Apps, Power Automate, and Power BI. Azure AI/ML Understanding (Plus) : An understanding of Azure AI/ML services, particularly those related to Large Language Models (LLMs) and document intelligence, is a significant advantage. Exceptional Communication : Excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly and concisely to diverse audiences. Strong Documentation Skills : Proven ability to create comprehensive and clear technical and functional documentation. Adaptability & Growth Mindset : A strong willingness to learn, adapt, and grow continuously in a dynamic and fast-paced AI-driven development environment. (ref:hirist.tech) Show more Show less

Azure Data Platform & AI Description We are looking for Azure Data Platform & AI experts passionate about developing world-class training content, lab exercises, and learning experiences that help professionals master data engineering and AI on Microsoft Azure. In this role, you will design hands-on training modules, test lab manuals, and proof-of-concept scenarios that demonstrate how to build and deploy scalable AI-driven data solutions using Azure Data Platform services. Key Responsibilities Develop hands-on labs, structured training modules, and real-world scenarios focused on Azure Synapse, Data Lake, Data Factory, and Databricks. Create step-by-step lab manuals and documentation for learners to practice real-world data engineering and AI scenarios. Design proof-of-concept projects and sample datasets to simulate business challenges. Build AI-driven analytics exercises using Azure AI, Azure Machine Learning, and OpenAI services. Develop structured learning paths covering data ingestion, transformation, storage, and analytics on Azure. Create real-time streaming and event-driven data processing labs using Azure Event Hubs, Kafka, and Stream Analytics. Work with instructional designers to ensure content is engaging, learner-friendly, and aligned with industry best practices. Optimize training environments for scalability and seamless deployment. Stay updated on the latest Azure Data & AI advancements and incorporate them into learning materials. Support hackathons, AI boot camps, and data challenges by developing hands-on exercises. Required Skills & Experiences 5+ years of experience in Azure Data Platform, data engineering, and AI/ML development. Expertise in Azure Synapse Analytics, Data Lake, Data Factory, and Databricks. Strong SQL and data modeling skills for enterprise-grade data warehousing. Experience building training content, lab manuals, or structured learning materials. Proficiency in Python, PySpark, or Scala for data engineering and AI/ML applications. Hands-on experience with real-time data streaming (Event Hubs, Kafka, Stream Analytics). Strong understanding of Azure AI services, OpenAI, and Azure Machine Learning. Experience designing step-by-step guides and practical exercises for learners. Knowledge of CI/CD pipelines, infrastructure-as-code (Terraform, Bicep), and Azure DevOps. Nice To Have Skills Experience with LLM fine-tuning and prompt engineering. Exposure to Power BI, Fabric, and self-service analytics training. Experience facilitating hackathons, data challenges, or certification boot camps. Certification in Azure Data & AI (DP-203, AI-102, or we offer : Opportunity to create training content for the latest Azure Data & AI technologies. A fast-paced, innovation-driven environment focused on upskilling professionals. Flexible work location and schedule. Competitive compensation and performance-based incentives. (ref:hirist.tech) Show more Show less

Job Description Responsibilities : Identify relevant data sources - a combination of data sources to make it useful. Build the automation of the collection processes. Pre-processing of structured and unstructured data, leveraging NLP techniques for text data. Handle large amounts of information to create the input for analytical models, incorporating Gen AI for advanced data processing and generation. Build predictive models, machine learning, and deep learning algorithms; innovate with Gen AI applications in model development. Build network graphs, apply NLP techniques for text analysis, and design forecasting models while building data pipelines for end-to-end solutions. Propose solutions and strategies to address business challenges, integrating Gen AI and NLP in practical applications. Collaborate with product development teams and communicate with Senior Leadership teams. Participate in problem-solving sessions, leveraging NLP and Gen AI for innovative solutions. Requirements Bachelor's degree in a highly quantitative field (e., Computer Science, Engineering, Physics,Math, Operations Research, etc.) or equivalent experience. Extensive machine learning and algorithmic background with deep expertise in Gen AI andNatural Language Processing (NLP) techniques, along with a strong understanding of supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, and network graph analysis. Advanced knowledge of NLP methods, including text generation, sentiment analysis, namedentity recognition, and language modelling. Strong math skills, including proficiency in statistics, linear algebra, and probability, with the ability to apply these concepts in Gen AI and NLP solutions. Proven problem-solving aptitude with the ability to apply NLP and Gen AI tools to real-world business challenges. Excellent communication skills with the ability to translate complex technical information, especially related to Gen AI and NLP, into clear insights for non-technical stakeholders. Fluency in at least one data science/analytics programming language (e., Python, R, Julia), with expertise in NLP and Gen AI libraries like TensorFlow, PyTorch, Hugging Face, or OpenAI tools. Start-up experience is a plus, with ideally 5-8 years of advanced analytics experience in startups or marquee companies, particularly in roles leveraging Gen AI and NLP for product or business innovations. Required Skills Deep Learning (DL), Algorithms, Computer Science & Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence (AI), ERP Systems, Product Management, Automation, Analytical Models, Predictive Models, Natural Language Processing (NLP), Gen AI, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Algebra, Data Science, Programming Languages: Python, Julia (ref:hirist.tech) Show more Show less

Job Title : Data Scientist- Lead Location : Bangalore, Pune, Mumbai, Kolkata Experience : 5 to 14 Years About Prismforce Prismforce is a Vertical SaaS company revolutionizing the Talent Supply Chain for global Technology, R&D/Engineering, and IT Services companies. Our AI-powered product suite enhances business performance by enabling operational flexibility, accelerating decision-making, and boosting profitability. Our mission is to become the leading industry cloud/SaaS platform for tech services and talent organizations worldwide. Responsibilities Identify relevant data sources a combination of data sources to make it useful. Build the automation of the collection processes. Pre-processing of structured and unstructured data. Handle large amounts of information to create the input to analytical Models. Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms. Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions. Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams. Participate in Problem solving sessions Requirements Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Operations Research, etc.) or equivalent experience. Extensive machine learning and algorithmic background with deep expertise in Gen AI and Natural Language Processing (NLP) techniques, along with a strong understanding of supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, and network graph analysis. Advanced knowledge of NLP methods, including text generation, sentiment analysis, named entity recognition, and language modelling. Strong math skills, including proficiency in statistics, linear algebra, and probability, with the ability to apply these concepts in Gen AI and NLP solutions. Proven problem-solving aptitude with the ability to apply NLP and Gen AI tools to real-world business challenges. Excellent communication skills with the ability to translate complex technical information, especially related to Gen AI and NLP, into clear insights for non-technical stakeholders. Fluency in at least one data science/analytics programming language (e.g., Python, R, Julia), with expertise in NLP and Gen AI libraries like TensorFlow, PyTorch, Hugging Face, or OpenAI tools. Start-up experience is a plus, with ideally 5-8 years of advanced analytics experience in startups or marquee companies, particularly in roles leveraging Gen AI and NLP for product or business innovations. Required Skills Machine Learning, Deep Learning, Algorithms Computer Science, Engineering, Operations Research Math Skills, Communication Skills, SAAS Product, IT Services Artificial Intelligence, ERP Product Management, Automation, Analytical Models Predictive Models, NLP What Makes Us Unique First-Mover Advantage : We are the only Vertical SaaS product company addressing Talent Supply Chain challenges in the IT services industry. Innovative Product Suite : Our solutions offer forward-thinking features that outshine traditional ERP systems. Strategic Expertise : Guided by an advisory board of ex-CXOs from top global IT firms, providing unmatched industry insights. Experienced Leadership : Our founding team brings deep expertise from leading firms like McKinsey, Deloitte, Amazon, Infosys, TCS, and Uber. Diverse and Growing Team : We have grown to 160+ employees across India, with hubs in Mumbai, Pune, Bangalore, and Kolkata. Strong Financial Backing : Series A-funded by Sequoia, with global IT companies using our product as a core solution. Why Join Prismforce Competitive Compensation : We offer an attractive salary and benefits package that rewards your contributions. Innovative Projects : Work on pioneering projects with cutting-edge technologies transforming the Talent Supply Chain. Collaborative Environment : Thrive in a dynamic, inclusive culture that values teamwork and innovation. Growth Opportunities : Continuous learning and development are core to our philosophy, helping you advance your career. Flexible Work : Enjoy flexible work arrangements that balance your work-life needs. By joining Prismforce, you'll become part of a rapidly expanding, innovative company that's reshaping the future of tech services and talent management. Perks & Benefits Work with the best in the industry: Work with a high-pedigree leadership team that will challenge you, build on your strengths and invest in your personal development Insurance Coverage-Group Mediclaim cover for self, spouse, kids and parents & Group Term Life Insurance Policy for self. Flexible Policies Retiral Benefits Hybrid Work Model Self-driven career progression tool Attractive ESOPs (ref:hirist.tech) Show more Show less

Responsibilities Identify relevant data sources a combination of data sources to make it useful. Build the automation of the collection processes. Pre-processing of structured and unstructured data. Handle large amounts of information to create the input to analytical Models. Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms. Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions. Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams. Participate in Problem solving sessions Requirements Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Operations Research, etc.) or equivalent experience. Extensive machine learning and algorithmic background with deep expertise in Gen AI and Natural Language Processing (NLP) techniques, along with a strong understanding of supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, and network graph analysis. Advanced knowledge of NLP methods, including text generation, sentiment analysis, named entity recognition, and language modelling. Strong math skills, including proficiency in statistics, linear algebra, and probability, with the ability to apply these concepts in Gen AI and NLP solutions. Proven problem-solving aptitude with the ability to apply NLP and Gen AI tools to real-world business challenges. Excellent communication skills with the ability to translate complex technical information, especially related to Gen AI and NLP, into clear insights for non-technical stakeholders. Fluency in at least one data science/analytics programming language (e.g., Python, R, Julia), with expertise in NLP and Gen AI libraries like TensorFlow, PyTorch, Hugging Face, or OpenAI tools. Start-up experience is a plus, with ideally 5-8 years of advanced analytics experience in startups or marquee companies, particularly in roles leveraging Gen AI and NLP for product or business innovations. Required Skills Machine Learning, Deep Learning, Algorithms Computer Science, Engineering, Operations Research Math Skills, Communication Skills, SAAS Product, IT Services Artificial Intelligence, ERP Product Management, Automation, Analytical Models Predictive Models, NLP (ref:hirist.tech) Show more Show less

Job Description We are looking for a passionate and curious AI/ML Engineer with an interest in Generative AI to join our innovative team. In this role, you will work on developing, fine-tuning, and deploying intelligent models and systems that solve real-world problems using the latest in artificial intelligence, machine learning, and large language models (LLMs). This is an excellent opportunity for early-career professionals to grow in the exciting field of AI/ML and generative AI technologies. Key Responsibilities Assist in the development, training, and evaluation of machine learning and deep learning models. Fine-tune pre-trained Large Language Models (LLMs) like GPT, BERT, LLaMA, etc., for specific use cases. Work with datasets: collection, preprocessing, augmentation, and analysis. Participate in model optimization, deployment (e.g., via APIs), and performance monitoring. Taking responsibility for driving all aspects of implementation, quality assurance, continuous integration and deployment, and application monitoring. Required Skills Strong understanding of machine learning, deep learning, and generative AI concepts. Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy. Exposure to NLP techniques and transformer models (e.g., GPT, BERT). Basic understanding of model training, evaluation metrics, and deployment pipelines. Knowledge of data preprocessing, cleaning, and visualization techniques. Strong hands-on experience in working with SQL databases. Good To Have Hands-on experience with Generative AI models (e.g., GPT, DALL-E, etc.). Familiarity with LangChain, LlamaIndex, or other LLM frameworks. Experience working with Hugging Face, OpenAI, or similar APIs. Understanding of prompt engineering and fine-tuning strategies. Exposure to MLOps tools (e.g., MLflow, Weights & Biases, DVC). Participation in AI/ML competitions (e.g., Kaggle) or contribution to open-source projects. Qualification Education : B.Tech M.Tech or MCA 1-2 years of professional or academic project experience in AI/ML. Preferably should have done some certification / courses / Formal training Solid understanding of mathematics related to data science probability, statistics, linear algebra, etc. Experience in building end-to-end ML and/or AI and/or Generative AI projects. Excellent Communication skills oral and written Should have the mindset to work in a startup culture. (ref:hirist.tech) Show more Show less

The Role The ideal candidate for this role will be an innovative self-starter. You will be an AI expert with experience in making architectural tradeoffs to transform AI performance for a variety of use cases. You will collaborate with internal and external development engineers (architecture, hardware, validation, software services). You will contribute to development, support device characterization and benchmarking : Proficiency in Large Models & Deep Neural Networks. Hands-on experience in working with large models & deep neural networks. Expertise in LLMs with working knowledge of large language models (LLMs). Extensive experience in System platform Architecture. Experience in Development Preferable for memory/storage/ any embedded system. In depth knowledge and extensive experience in dealing with Standardizations/Technical Papers/Patents. Extensive experience with C/C++ and Python programming. Develop and fine-tune LLMs (GPT, Llama, Mistral, Falcon, Claude, etc.) for domain-specific applications. Implement RAG pipelines using LlamaIndex, LangGraph, and vector databases (FAISS, Pinecone, Weaviate, ChromaDB) to enhance response accuracy. Build AI-powered chatbots and autonomous agents using LangGraph, CrewAI, LlamaIndex, and OpenAI APIs. Optimize and deploy generative AI models for real-time inference using cloud platforms (AWS, GCP, Azure) and MLOps tools (Docker, Kubernetes, MLflow). Fine-tune models using LoRA, QLoRA, PEFT, and RLHF to improve efficiency and personalization. Develop AI-driven workflows for structured reasoning and decision-making using CrewAI and LangGraph. Integrate multi-modal AI models (text, image, speech) into enterprise solutions. Implement memory and retrieval strategies for LLM-based systems using vector search and caching techniques. Ensure AI models follow ethical AI guidelines, bias mitigation, and security best : Tech in Computer Science, Electrical Engineering. 8 to 10 Years of experience in relevant domain. Strong analytical & abstract thinking ability as well as technical communication skills. Able to work independently and perform in fast paced environment. Ability to troubleshoot and debug complex issues. Working Knowledge on Device Driver is desirable. Prior experience in working with Skills : Languages & Frameworks : Proficiency in Python, PyTorch, TensorFlow, JAX (ref:hirist.tech) Show more Show less

Job Title: Practical Front-End Developer (Founder's Team | Full-Time) Location: Mumbai (Multiple Offices) | Full-Time | Onsite/Hybrid Team: Business Development & Marketing (Working directly with Founder) About the Role We’re looking for a practical and hands-on Front-End Developer to join us full-time as part of the founding team. This is not just a coding role — it's a creative and strategic position where you'll be building the front-facing layers of a range of projects alongside the founder. You’ll work closely on business development, marketing initiatives, and AI-integrated solutions across websites, products, and digital experiences. What You’ll Do Build, maintain, and optimize front-end interfaces for web platforms Work with WordPress, custom HTML/CSS/JS, and modern frameworks as needed Collaborate with design, marketing, and AI teams to bring user-facing features to life Integrate AI tools and APIs into functional user interfaces Assist with landing pages, campaign microsites, and data visualization for the BD team Contribute to UI/UX ideas, growth-focused experiments, and product feedback Handle integrations with tools like Zapier, Webflow, Figma, Notion, etc. if required What We’re Looking For Strong practical experience in front-end development (HTML, CSS, JS, Bootstrap, React or similar) Good working knowledge of WordPress and custom themes/plugins Bonus: Familiarity with AI tools, OpenAI APIs, or similar integrations Ability to quickly learn new software and adapt to fast-moving projects Interest in business development, marketing, and startup culture Comfortable working with minimal handholding and directly with the founder Why Join Us Be part of the core founding team working across multiple exciting projects Exposure to AI-powered tools, hospitality tech, and creative digital builds Flexible, impact-driven environment with direct mentorship and trust Opportunity to grow into a product/tech lead role as the company scales

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Azure OpenAI Service, Java Full Stack Development Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will be involved in designing, building, and configuring applications to meet business process and application requirements. Your typical day will revolve around creating innovative solutions to address various business needs and ensuring seamless application functionality. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead the team in implementing cutting-edge technologies - Conduct regular code reviews and provide constructive feedback - Stay updated on industry trends and best practices Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure OpenAI Service, Java Full Stack Development - Strong understanding of cloud computing principles - Experience in developing scalable and secure applications - Knowledge of DevOps practices and tools - Familiarity with agile methodologies Additional Information: - The candidate should have a minimum of 5 years of experience in Microsoft Azure OpenAI Service. - This position is based at our Pune office. - A 15 years full time education is required. Show more Show less

Roles : Service Now UI Developers Note : No Admin or ITMS/CMDB candidates, the candidates have to be developers and have strong Service Now development experience. Any Agentic knowledge is a plus. Location : Hyderabad Key Responsibilities: Lead the design and development of scalable applications and ServiceNow solutions. Collaborate with stakeholders to define technical requirements and architectural decisions. Guide and mentor development teams, fostering best practices in clean code, design patterns, and secure coding. Perform code reviews and provide constructive feedback to ensure quality and consistency. Drive DevOps practices such as CI/CD, automated testing, and deployment pipelines. Oversee integrations between ServiceNow and other enterprise systems. Lead and contribute to AI/ML initiatives , including integrating AI services into existing platforms and developing intelligent automation solutions. Ensure performance, security, and compliance standards are met. Stay updated with emerging technologies and trends to inform future development. Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 8+ years of experience in software development, with 2+ years in a lead or senior role. Proven experience with ServiceNow development (Workflows, Catalogs, IntegrationHub, CMDB, etc.). Strong knowledge of JavaScript (ES6+) and ServiceNow scripting APIs. Solid understanding of DevOps principles , including containerization (Docker), CI/CD tools (e.g., Jenkins, GitHub Actions), and Infrastructure as Code. Experience in software design, architecture, and leading development teams. Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, OpenAI, Azure Cognitive Services, etc.). Expertise in various architectural models, including domain-driven design, microservices-architecture, event-driven-architecture, and micro-frontend-architecture. Excellent communication skills and the ability to collaborate across cross-functional teams. Preferred Qualifications: ServiceNow certifications (CSA, CAD, CIS-ITSM, etc.). Experience with other modern web technologies (e.g., React, Node.js). Familiarity with agile/scrum methodologies. Experience implementing AI-driven workflows or chatbots within enterprise platforms. Thanks and Regards Mani - Team Lead HR Recruiter Email: mani.t@infowaygroup.com Cell: +91-9513618504 WhatsApp: +91-9513618504 Info Way Solutions LLC “Email is the best way to reach me” Job Type: Contractual / Temporary Contract length: 12 months Pay: ₹1,408,910.62 - ₹1,536,143.23 per year Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Morning shift Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Required) Experience: Software development: 8 years (Preferred) lead or senior: 2 years (Preferred) ServiceNow development: 5 years (Preferred) JavaScript: 4 years (Preferred) DevOps principles: 5 years (Preferred) AI/ML tools and frameworks: 4 years (Preferred) React: 5 years (Preferred) Node.js: 4 years (Preferred) License/Certification: ServiceNow certifications (Preferred) Work Location: In person

Job Description Roles & responsibilities Here are some of the key responsibilities of manager in Gen AI and ML Specialist : Team Management: You will be responsible for managing a team of AI and ML specialists, providing guidance, support, and mentoring to ensure their professional growth and development. Project Management: You will oversee the planning, execution, and delivery of AI and ML projects, ensuring that they are completed within budget and timeline constraints. This includes defining project goals, allocating resources, and managing risks. Strategy Development: You will collaborate with senior management to define the AI and ML strategy for the organization, identifying areas where AI and ML technologies can be applied to drive business growth and efficiency. Technical Expertise: As a manager, you should have a deep understanding of AI and ML technologies, algorithms, and frameworks. You will provide technical guidance to your team, review their work, and ensure that the best practices and industry standards are followed. Stakeholder Management: You will collaborate with various stakeholders, such as business leaders, product managers, and data scientists, to understand their requirements and translate them into AI and ML solutions. Effective communication and relationship-building skills are crucial for successful stakeholder management. Talent Acquisition: You may be involved in the recruitment and hiring process, identifying and attracting top AI and ML talent to join your team. This includes conducting interviews, evaluating candidates' technical skills, and assessing their fit within the organization. Continuous Learning: AI and ML technologies are rapidly evolving fields, and as a manager, you should stay updated with the latest advancements and industry trends. You should encourage continuous learning within your team and promote a culture of innovation and knowledge sharing. Performance Evaluation: You will be responsible for evaluating the performance of your team members, providing constructive feedback, and identifying areas for improvement. You may also be involved in performance appraisals and career development discussions. Collaboration and Cross-functional Coordination: AI and ML projects often require collaboration with other teams, such as data engineering, software development, and business analytics. You will need to coordinate with these teams to ensure smooth integration and deployment of AI and ML solutions. Ethics and Compliance: AI and ML technologies raise ethical and legal considerations. As a manager, you should ensure that your team adheres to ethical guidelines and complies with relevant regulations, such as data privacy and security laws. Overall, your role as a Gen AI and ML Specialist Manager is to lead and guide your team in leveraging AI and ML technologies to solve complex problems, drive innovation, and deliver value to the organization. Mandatory technical & functional skills The ideal candidate will have a strong background in natural language processing (NLP), Gen AI, deep learning, and machine learning. This role will be instrumental in designing, developing, and implementing AI models for a variety of generative tasks, working in a cross-functional team. Proficiency in Python or R and machine learning frameworks like TensorFlow or PyTorch is crucial. Cloud computing experience, particularly with Google/Azure Cloud Platform, is essential. With strong foundation in understating Data Analytics Services offered by Azure (Synapse) In depth knowledge on ML and NLP algorithms, LLMs ( BERT, GEPT, etc.) and also hands-on LangChain/LangGraph/LangSmith or LlamaIndex or LlamaCloud, OpenAI LLM Libraries, Vector DBs (Chroma DB, FAISS, etc) Strong oral and written communication skills with the ability to communicate technical and non-technical concepts to peers and stakeholders Preferred Technical & Functional Skills Experience in solutioning and delivering enterprise level AI/ML projects Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models (PALM2, GPT4, LLAMA etc ) or SLM’s Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables, not just individual tasks Understand business objectives and functions to support data needs #KGS Responsibilities Roles & responsibilities Here are some of the key responsibilities of manager in Gen AI and ML Specialist : Team Management: You will be responsible for managing a team of AI and ML specialists, providing guidance, support, and mentoring to ensure their professional growth and development. Project Management: You will oversee the planning, execution, and delivery of AI and ML projects, ensuring that they are completed within budget and timeline constraints. This includes defining project goals, allocating resources, and managing risks. Strategy Development: You will collaborate with senior management to define the AI and ML strategy for the organization, identifying areas where AI and ML technologies can be applied to drive business growth and efficiency. Technical Expertise: As a manager, you should have a deep understanding of AI and ML technologies, algorithms, and frameworks. You will provide technical guidance to your team, review their work, and ensure that the best practices and industry standards are followed. Stakeholder Management: You will collaborate with various stakeholders, such as business leaders, product managers, and data scientists, to understand their requirements and translate them into AI and ML solutions. Effective communication and relationship-building skills are crucial for successful stakeholder management. Talent Acquisition: You may be involved in the recruitment and hiring process, identifying and attracting top AI and ML talent to join your team. This includes conducting interviews, evaluating candidates' technical skills, and assessing their fit within the organization. Continuous Learning: AI and ML technologies are rapidly evolving fields, and as a manager, you should stay updated with the latest advancements and industry trends. You should encourage continuous learning within your team and promote a culture of innovation and knowledge sharing. Performance Evaluation: You will be responsible for evaluating the performance of your team members, providing constructive feedback, and identifying areas for improvement. You may also be involved in performance appraisals and career development discussions. Collaboration and Cross-functional Coordination: AI and ML projects often require collaboration with other teams, such as data engineering, software development, and business analytics. You will need to coordinate with these teams to ensure smooth integration and deployment of AI and ML solutions. Ethics and Compliance: AI and ML technologies raise ethical and legal considerations. As a manager, you should ensure that your team adheres to ethical guidelines and complies with relevant regulations, such as data privacy and security laws. Overall, your role as a Gen AI and ML Specialist Manager is to lead and guide your team in leveraging AI and ML technologies to solve complex problems, drive innovation, and deliver value to the organization. Mandatory technical & functional skills The ideal candidate will have a strong background in natural language processing (NLP), Gen AI, deep learning, and machine learning. This role will be instrumental in designing, developing, and implementing AI models for a variety of generative tasks, working in a cross-functional team. Proficiency in Python or R and machine learning frameworks like TensorFlow or PyTorch is crucial. Cloud computing experience, particularly with Google/Azure Cloud Platform, is essential. With strong foundation in understating Data Analytics Services offered by Azure (Synapse) In depth knowledge on ML and NLP algorithms, LLMs ( BERT, GEPT, etc.) and also hands-on LangChain/LangGraph/LangSmith or LlamaIndex or LlamaCloud, OpenAI LLM Libraries, Vector DBs (Chroma DB, FAISS, etc) Strong oral and written communication skills with the ability to communicate technical and non-technical concepts to peers and stakeholders Qualifications This role is for you if you have the below Educational Qualifications Bachelor's degree in Computer Science Work Experience 10+ Years of Experience Show more Show less

About the Job & Shakudo At Shakudo, we are building the world’s first operating system for data and AI. We use the term operating system in the truest sense of the word. Like iOS, Windows and Linux, Shakudo’s end-to-end OS offers ever-evolving, automatically operated, best-of-breed open-source components tailored to each business's unique needs. As we continue to scale, we are seeking a team of Technical Support Specialists to join Shakudo on a fully remote basis. In this role, you will be responsible for providing technical support for the Shakudo AI & Data Platform across multiple time zones, focusing on delivering high-quality service to our global customer base. You will play a key role in troubleshooting technical issues, providing platform support, and collaborating with engineering teams to ensure seamless customer experiences. What You’ll Do Customer Interaction & Troubleshooting : Respond promptly to customer queries related to Shakudo's AI & Data Platform, including platform setup, deployment, AI/ML workflows, data pipelines, integrations, and system performance. Documentation & Escalation : Maintain accurate records of customer issues and troubleshooting steps. Escalate issues to internal teams as necessary, ensuring smooth transitions and timely resolution. Communication & Collaboration : Provide clear, concise, and professional technical support via written communication platforms (e.g., Microsoft Teams, Slack, and Email). Collaborate with engineering and product teams to resolve recurring issues. Platform Areas & Technologies : Specialize in several areas of the Shakudo platform, such as platform deployment, Kubernetes, Docker, AI/ML workflows (MLflow, OpenAI, LLM tools), data pipelines, storage (Postgres, NoSQL, MinIO), integrations, and system performance monitoring (Prometheus, Grafana). What You’ll Bring 1-3 years of experience in technical support, IT HelpDesk, or related customer support roles, with a strong understanding of AI, DevOps, or cloud-native technologies. Proficiency in troubleshooting containerized environments using Kubernetes and Docker. Experience with AI/ML workflows, including familiarity with frameworks like TensorFlow, PyTorch, MLflow, and tools for API integrations. Experience in providing technical support in cloud environments (e.g., AWS, Azure). Excellent written communication skills in English, with the ability to explain complex technical concepts clearly. Proactive approach to problem-solving and customer support, with strong attention to detail. Familiarity with tools like Zendesk or ServiceNow for ticketing and customer issue tracking. Experience in maintaining and improving technical documentation. Schedule Shift 9am-5pm EST hours Shakudo is an equal opportunity employer and encourages candidates of all backgrounds to apply. We foster diversity and inclusivity and welcome applications from a broad range of backgrounds and experiences. Show more Show less

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for India’s top 1% NLP Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community? We are looking for top-tier Natural Language Processing Engineers with experience in text analytics, LLMs, and speech processing. If you have experience in this field then this is your chance to collaborate with industry leaders. What’s in it for you? Pay above market standards The role is going to be contract based with project timelines from 2 - 12 months , or freelancing. Be a part of Elite Community of professionals who can solve complex AI challenges Work location could be: Remote (Highly likely) Onsite on client location Deccan AI’s Office: Hyderabad or Bangalore Responsibilities: Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA). Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure). Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques. Ensure ethical AI practices and mentor junior engineers. Required Skills: Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK). Experience with transformer-based models (BERT, GPT, T5) and deploying at scale (Flask, Kubernetes, cloud services). Strong knowledge of model optimization, data pipelines (Spark, Dask), and vector databases. Familiar with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations. Nice to Have: Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing for model improvement. Contributions to open-source NLP projects or a strong publication record. What are the next steps? 1. Register on our Soul AI website. 2. Our team will review your profile. 3. Clear all the screening rounds: Clear the assessments once you are shortlisted. As soon as you qualify all the screening rounds (assessments, interviews) you will be added to our Expert Community! 4. Profile matching and Project Allocation: Be patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You! Show more Show less