1522 Openai Jobs - Page 33

Responsibilities: • Design and develop GenAI-based solutions using LLMs (e.g., Bedrock, OpenAI, Claude) for text, image, table, diagram, and multi-modal applications. • Implement a multi-agent system that integrates structured and unstructured data sources, including knowledge graphs, embeddings, and vector databases. • Build and deploy agentic AI workflows capable of autonomous task completion, using frameworks like LangChain, LangGraph, or CrewAI. • Perform fine-tuning, retraining, or adaptation of open-source or proprietary LLMs for specific domain tasks. • Collaborate with data scientists and domain experts to curate and preprocess training datasets. • Integrate models with scalable backend APIs or pipelines (REST, FastAPI, gRPC) for real-world applications. • Stay updated with state-of-the-art research and actively contribute to enhancing model performance and interpretability. • Optimize inference, model serving, and memory management for deployment at scale. Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, Data Science, or related field. • 5+ years of hands-on experience in Deep Learning, NLP, and LLMs. • Proven experience with at least one end-to-end project involving multi-modal RAG and Agentic AI. • Proficient in Python and ML/DL libraries such as PyTorch, TensorFlow, Transformers (HuggingFace), LangChain, LangGraph, Bedrock, or similar • Experience in fine-tuning or adapting LLMs (using LoRA, QLoRA, PEFT, or full fine-tuning). • Experience in building a multi-agent system. • Strong understanding of knowledge graphs, embeddings, vector databases (e.g., FAISS, Chroma, Weaviate), and prompt engineering. • Strong understanding and experience of a cloud platform like AWS. • Familiarity with containerization (Docker, Kubernetes) Preferred Skills • Experience in the Biopharma industry. • Design and implement user-friendly interfaces for AI applications. • Utilize modern web frameworks (e.g., React, Vue.js) to create engaging user experiences. • Develop scalable and efficient backend systems to support the deployment of AI models. • Integrate with cloud platforms (AWS) for infrastructure management. • Hands-on experience in vision-language models (e.g., CLIP, BLIP, LLaVA). • Publications, Kaggle competitions, or GitHub projects in GenAI Show more Show less

Job Summary: We are looking for a highly motivated and technically versatile professional to lead, build, and train teams on No-Code/Low-Code AI automation solutions . The ideal candidate will spearhead automation projects, implement scalable AI-driven workflows, and deliver comprehensive training to empower teams and clients. Key Responsibilities: Automation Development & Implementation Design and build end-to-end automation solutions using no-code/low-code platforms (e.g., Power Automate, Zapier, Make, Airtable, Glide, AppSheet). Integrate AI tools (e.g., OpenAI API, ChatGPT, Microsoft Copilot, Google Vertex AI) with automation workflows. Automate business processes including CRM, HR, finance, marketing, and customer support. Ensure solutions are scalable, secure, and compliant with industry standards. Technical Leadership & Project Management Lead automation projects from concept to deployment. Collaborate with cross-functional teams to understand business needs and convert them into automation solutions. Define best practices, governance models, and documentation standards for no-code/AI projects. Evaluate and implement new tools in the no-code/AI ecosystem. Training & Enablement Develop training programs, learning materials, and documentation for internal teams or external clients. Conduct live sessions, hands-on workshops, and onboarding sessions on no-code platforms and AI integrations. Mentor junior developers and business users on no-code thinking and automation strategies. Stay up-to-date with platform updates and AI trends, sharing insights with the team. Required Skills and Qualifications: Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience). 2-3 years of experience with automation tools such as Power Automate, Zapier, Integromat, Airtable, Notion, etc. Proficiency in integrating APIs and AI tools like ChatGPT, GPT-4, LangChain, Hugging Face models, etc. Strong problem-solving and process mapping skills. Experience in delivering technical training or workshops. Excellent communication and stakeholder management skills. Working Location: Mohali(Punjab) Job Type: Full-time Pay: Up to ₹50,000.00 per month Benefits: Health insurance Schedule: Day shift Monday to Friday Morning shift Experience: AI Automation: 2 years (Preferred) Work Location: In person

🔍 We're Hiring: AI Engineer / GenAI Engineer (3+ years) 📍 Location: Hyderabad (Full-time, Hybrid) 🏢 Join Our Mission to Build the Future with GenAI Are you passionate about Generative AI, LLMs , and pushing the boundaries of Agentic AI ? Do you thrive at the intersection of innovation and impact? We’re looking for a skilled AI Engineer to join our dynamic team developing multi-modal, intelligent, and autonomous AI systems that transform the way industries operate. 🚀 What You'll Do: Design and develop cutting-edge GenAI solutions using LLMs (OpenAI, Claude, Bedrock) across text, image, and tabular data. Build multi-agent AI workflows using LangChain, LangGraph, CrewAI —integrated with knowledge graphs and vector databases. Fine-tune or adapt open-source/proprietary LLMs (LoRA, QLoRA, PEFT) for domain-specific tasks. Integrate scalable APIs and pipelines using FastAPI, REST, or gRPC . Collaborate with data scientists to curate datasets and optimize real-world performance. Drive innovation by staying on top of the latest research and development in GenAI, VLMs, and RAG. ✅ What We're Looking For: 5+ years of hands-on experience in Deep Learning, NLP, and LLMs . Experience in building multi-modal RAG systems and Agentic AI solutions . Proficiency in Python , PyTorch , HuggingFace , LangChain , Bedrock , etc. Strong knowledge of embeddings, vector databases (FAISS, Chroma, Weaviate), and prompt engineering . Experience with cloud platforms (AWS) and containerization tools (Docker/Kubernetes) . ⭐ Bonus Skills: Experience in Biopharma domain Hands-on with Vision-Language Models (CLIP, BLIP, LLaVA) Strong frontend (React/Vue.js) and backend (FastAPI, Flask) experience GitHub projects, publications, or Kaggle contributions in GenAI Show more Show less

Job Title: Full Stack GenAI Lead Location: Gurgaon Job Summary: We are seeking a Full stack Lead Developer with strong expertise in Python, Angular, and Java, along with hands-on experience or exposure to Agentic AI Framework or Generative AI (GenAI) technologies. The ideal candidate will be responsible for designing and developing end-to-end solutions, leading development teams, and integrating GenAi capabilities into scalable applications. Knowledge of Agile/Scrum methodologies and SDLC, release/change management Key Responsibilities: Work closely with cross-functional teams to gather and refine requirements, and align technical solutions with business goals. Sound knowledge of Angular and Python , AWS bedrock, Lambda, Step function Implement and manage CI/CD pipelines optimized for GenAI model deployment. Integrate GenAI models (LLMs, etc.) into existing and new software systems. Ensure data pipelines for GenAI model training and inference are efficient and reliable. Troubleshoot and resolve issues across the full stack and GenAI integrations. Stay current with GenAI advancements and full-stack technologies Proficiency in multiple programming languages (e.g., Python, JavaScript, Java). Strong experience with front-end frameworks (e.g., React, Angular, Vue.js). Solid back-end development skills (e.g., Node.js, Python frameworks like Flask/Django, Spring). Experience with databases (SQL, NoSQL). Familiarity with cloud platforms (AWS). Understanding of SDLC principles and agile methodologies. Hands-on experience integrating AI/ML models into applications. Understanding of Generative AI concepts (LLMs, transformers, etc.).work with Agentic AI framework or other Gen AI models/APIs (e.g., OpenAI, Hugging Face, Google Vertex AI). Excellent problem-solving and analytical skills. Strong communication and leadership abilities. Show more Show less

🚀 AI Engineering Intern (SDE) – Founding Tech Interns | Opportunity of a Lifetime Location: Gurgaon (In-Office) Duration: 3–6 months (Flexible based on academic schedule) Start Date: Immediate openings Open to: Tier 1 college students graduating in 2025 only Compensation: Stipend + Pre-Placement Offer potential + Founders’ recommendation for global fellowships (Google, Meta, etc.) 🧠 About Us – Darwix AI Darwix AI is on a mission to solve a problem no one's cracked yet — building real-time, multilingual conversational intelligence for omnichannel enterprise sales teams using the power of Generative AI. We're building India’s answer to Gong + Refract + Harvey AI — trained on 1M+ hours of sales conversations, and packed with industry-first features like live agent coaching , speech-to-text in 11 Indic languages , and autonomous sales enablement nudges . We’ve got global clients, insane velocity, and a team of ex-operators from IIMs, IITs, and top-tier AI labs. 🌌 Why This Internship is Unlike Anything Else 💡 Work on a once-in-a-decade problem — pushing the boundaries of GenAI + Speech + Edge compute. 🛠️ Ship real products used by enterprise teams across India & the Middle East. 🧪 Experiment freely — train models, optimize pipelines, fine-tune LLMs, or build scrapers that work in 5 languages. 🚀 Move fast, learn faster — direct mentorship from the founding engineering and AI team. 🏆 Proof-of-excellence opportunity — stand out in every future job, B-school, or YC application. 💻 What You'll Do Build and optimize core components of our real-time agent assist engine (Python + FastAPI + Kafka + Redis). Train, evaluate, and integrate whisper, wav2vec, or custom STT models on diverse datasets. Work on LLM/RAG pipelines , prompt engineering, or vector DB integrations. Develop internal tools to analyze, visualize, and scale insights from conversations across languages. Optimize for latency, reliability, and multilingual accuracy in dynamic customer environments. 🌟 Who You Are Pursuing a B.Tech/B.E. or dual degree from IITs, IIITs, BITS, NIT Trichy/Warangal/Surathkal, or other top-tier institutes. Comfortable with Python , REST APIs, and database operations. Bonus: familiarity with FastAPI, Langchain, or HuggingFace. Passionate about AI/ML, especially NLP, GenAI, ASR, or multimodal systems. Always curious, always shipping, always pushing yourself beyond the brief. Looking for an internship that actually matters — not one where you're just fixing CSS. 🌐 Tech You’ll Touch Python, FastAPI, Kafka, Redis, MongoDB, Postgres Whisper, Deepgram, Wav2Vec, HuggingFace Transformers OpenAI, Anthropic, Gemini APIs LangChain, FAISS, Pinecone, LlamaIndex Docker, GitHub Actions, Linux environments 🎯 What’s in it for you A pre-placement offer for the best performers. A chance to be a founding engineer post-graduation. Exposure to the VC ecosystem , client demos, and GTM strategies. Stipend + access to tools/courses/compute resources you need to thrive. 🚀 Ready to Build the Future? If you’re one of those rare folks who can combine deep tech with deep curiosity , this is your call to adventure. Join us in building something that’s never been done before. Apply now at careers@cur8.in Attach your CV + GitHub/Portfolio + a line on why this excites you. Bonus points if you share a project you’ve built or an AI problem you’re obsessed with. Darwix AI | GenAI for Revenue Teams | Built from India for the World Show more Show less

About Us We’re a stealth-mode startup building India’s smartest fashion search and discovery engine. Today, online fashion search is broken — dominated by SEO tricks, ad-first results, and fragmented marketplaces that bury the best options, especially from indie brands. We’re changing that. Our vision is simple but bold: enable anyone to find exactly what they’re looking for — whether it’s “that yellow dress Lily Collins wore in Emily in Paris” or a vibe from a Pinterest board — using cutting-edge AI, LLMs, and visual search. Think “Google for fashion,” but actually intuitive and personalized. Backed by investors and led by a team from Georgia Tech, we’re building a deep-tech stack that indexes every major Indian fashion retailer and brand. Our tools go beyond literal search — they understand inspiration, moodboards, and context. Whether you’re a consumer looking for affordable originality or a brand looking to integrate smarter discovery, we’re reimagining how fashion is found in India. Role: AI Engineer Intern(LLM + Backend) Location: Remote Stipend: ₹10,000–₹20,000 per month What You'll Do We’re looking for an AI Engineering Intern who’s excited to build real tools with large language models and backend infrastructure. You won’t be writing toy code — you’ll help shape the backend of AI features used by real people. From chaining LLMs and crafting clever prompts to building robust APIs, you’ll be part of the core engine that makes the product tick. You’ll work directly with the founding team and have ownership from day one. If you’re someone who enjoys messy, fast-moving environments and loves to learn by building — this is for you. Your Responsibilities Build and maintain backend services for AI features using JavaScript/TypeScript (Node.js preferred) Work with LLMs (OpenAI, Claude, open-source models, etc.) to create intelligent workflows Design and test REST APIs for features like AI search, query rewriting, and personalization Integrate multiple AI models and tools (e.g. LangChain, LlamaIndex, vector DBs) into working prototypes Collaborate with designers and frontend developers to ship product features Research and experiment with new model capabilities and toolchains You might be a fit if you Have hands-on experience building with LLMs or AI APIs (even side projects count!) Are confident writing backend code in JavaScript or TypeScript Understand REST API design, authentication, and basic deployment practices (Vercel/Render/Fly.io/etc.) Are curious, scrappy, and able to figure things out fast Love the idea of blending fashion, search, and AI to solve real problems Bonus Points for: Experience with LangChain, LlamaIndex, or similar orchestration frameworks Familiarity with full-stack frameworks like Next.js or React Knowledge of NLP, embeddings, or neural networks Prior startup experience or shipped personal AI tools/projects Why Join Us Build something from 0 to 1 that could shape how people shop across India Work closely with the founding team in a fast-paced, high-ownership environment Get exposure to real product decisions and learn how AI and design intersect Play with the latest AI tech , experiment freely, and ship quickly Show more Show less

Job Position: Tools and Automation Architect Location: Greater Noida Experience: -8+ to 10+ Years Must have: - It’s a Tools and Automation Architect role with AIops OR GenAI or other AI Tools. Note : It’s a Tools and Automation Architect role with AIops OR GenAI or other AI Tools. Tools & Automation for Cloud and Infrastructure Management Services: Keywords Enterprise IT Infrastructure Automation Architect. Gen AI, AI and ML Enterprise IT Infrastructure Automation Architect. TOGAF or Equivalent Architecture framework Certified Professional. In-depth hands-on experience in Cloud, Compute, Storage, Directory Services, OS Network, and Web & Middleware task automation. Role Description We are looking for an Enterprise IT Infrastructure Automation Architect with hands on experience in - design, deployment, configuration and management of IT Infrastructure Automation Platform. Who is a self-starter and can work in a dynamic environment. Prepare high level and low-level design documentations. Use Agile Infrastructure Technologies, Automation & Autonomics. Strong Understanding of Core Infrastructure and Cloud Concepts Expertise in enterprise automation platforms including GenAI, AI & ML. (Technical expertise areas) Hands-on Experience with one or more of the following tools and technologies: Configuration Management Ansible. : Provisioning Management, Terraform. Orchestration- Camunda Orchestrator, ServiceNow Orchestrator, vRealize Orchestrator. Container Orchestration Platforms : Kubernetes, Openshift. Open-Source Monitoring Tools : Nagios, Prometheus, Elastic Search. GenAI Platforms OpenAI. Show more Show less

Job Title: Full Stack Developer – AI Integration & Prompt Engineering Employment type: Full Time About the Role: We’re looking for a talented Full Stack Developer with strong JavaScript skills and hands-on experience integrating AI models like ChatGPT into web applications. If you’re passionate about AI, prompt engineering , and building intelligent, responsive web apps, this is the perfect opportunity. Key Responsibilities Build and maintain web applications using JavaScript frameworks (React.js, Node.js, Vue.js). Integrate AI/ML models and APIs (e.g., OpenAI) into scalable web applications. Design, test, and refine effective prompts to drive accurate and meaningful AI responses. Create smooth and responsive AI-driven user experiences , including chat interfaces. Optimize application performance, ensuring high responsiveness and scalability. Experiment with different prompting strategies to improve AI performance and user interaction. Collaborate closely with AI engineers, UI/UX designers, and backend developers to deliver cohesive features. Stay updated on the latest trends in AI/ML, NLP, and JavaScript frameworks . What We’re Looking For Strong experience with JavaScript, React, Redux, and TypeScript Proven ability to integrate AI APIs (e.g., OpenAI, GPT models) Hands-on experience in prompt engineering and AI model tuning Good understanding of Vector Search and AI application workflows Excellent English communication skills , both verbal and written Familiarity with frontend and backend web development best practices Why Join Us? Be at the forefront of AI innovation in real-world applications Work on exciting projects that merge web technology and artificial intelligence Collaborate with a passionate, forward-thinking team Job Type: Full-time Pay: ₹600,000.00 - ₹800,000.00 per year Ability to commute/relocate: Peelamedu, Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI: 1 year (Required) Work Location: In person

About the Company Resources is the backbone of Publicis Groupe, the world’s third-largest communications group. Formed in 1998 as a small team to service a few Publicis Groupe firms, Re:Sources has grown to 5,000+ people servicing a global network of prestigious advertising, public relations, media, healthcare, and digital marketing agencies. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury, and risk management to help Publicis Groupe agencies do their best: create and innovate for their clients. In addition to providing essential, everyday services to our agencies, Re:Sources develops and implements platforms, applications, and tools to enhance productivity, encourage collaboration, and enable professional and personal development. We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. With our support, Publicis Groupe agencies continue to create and deliver award-winning campaigns for their clients. About the Role The main purpose of this role is to advance the application of business intelligence, advanced data analytics, and machine learning for Marcel. The Data Scientist will work with other data scientists, engineers, and product owners to ensure the delivery of all commitments on time and in high quality. Responsibilities Design and develop advanced data science and machine learning algorithms, with a strong emphasis on Natural Language Processing (NLP) for personalized content, user understanding, and recommendation systems. Work on end-to-end LLM-driven features, including fine-tuning pre-trained models (e.g., BERT, GPT), prompt engineering, vector embeddings, and retrieval-augmented generation (RAG). Build robust models on diverse datasets to solve for semantic similarity, user intent detection, entity recognition, and content summarization/classification. Analyze user behaviour through data and derive actionable insights for platform feature improvements using experimentation (A/B testing, multivariate testing). Architect scalable solutions for deploying and monitoring language models within platform services, ensuring performance and interpretability. Collaborate cross-functionally with engineers, product managers, and designers to translate business needs into NLP/ML solutions. Regularly assess and maintain model accuracy and relevance through evaluation, retraining, and continuous improvement processes. Write clean, well-documented code in notebooks and scripts, following best practices for version control, testing, and deployment. Communicate findings and solutions effectively across stakeholders — from technical peers to executive leadership. Contribute to a culture of innovation and experimentation, continuously exploring new techniques in the rapidly evolving NLP/LLM space. Qualifications Minimum Experience (relevant): 3 years Maximum Experience (relevant): 5 years Required Skills Proficiency in Python and NLP frameworks: spaCy, NLTK, Hugging Face Transformers, OpenAI, LangChain. Strong understanding of LLMs, embedding techniques (e.g., SBERT, FAISS), RAG architecture, prompt engineering, and model evaluation. Experience in text classification, summarization, topic modeling, named entity recognition, and intent detection. Experience deploying ML models in production and working with orchestration tools such as Airflow, MLflow. Comfortable working in cloud environments (Azure preferred) and with tools such as Docker, Kubernetes (AKS), and Git. Strong experience working with data science/ML libraries in Python (SciPy, NumPy, TensorFlow, SciKit-Learn, etc.) Strong experience working in cloud development environments (especially Azure, ADF, PySpark, DataBricks, SQL) Experience building data science models for use on front end, user facing applications, such as recommendation models Experience with REST APIs, JSON, streaming datasets Understanding of Graph data, Neo4j is a plus Strong understanding of RDBMS data structure, Azure Tables, Blob, and other data sources Understanding of Jenkins, CI/CD processes using Git, for cloud configs and standard code repositories such as ADF configs and Databricks Preferred Skills Bachelor's degree in engineering, computer science, statistics, mathematics, information systems, or a related field from an accredited college or university; Master's degree from an accredited college or university is preferred. Or equivalent work experience. Advanced knowledge of data science techniques, and experience building, maintaining, and documenting models Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases preferably Graph DB. Experience building and optimizing ADF and PySpark based data pipelines, architectures and data sets on Graph and Azure Datalake. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Strong project management and organizational skills. Experience supporting and working with cross-functional teams in a dynamic environment. Show more Show less

About The Company iLink Digital is a Global Software Solution Provider and Systems Integrator, delivers next-generation technology solutions to help clients solve complex business challenges, improve organizational effectiveness, increase business productivity, realize sustainable enterprise value and transform your business inside-out. iLink integrates software systems and develops custom applications, components, and frameworks on the latest platforms for IT departments, commercial accounts, application services providers (ASP) and independent software vendors (ISV). iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink’s expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems and User Experience design etc. What makes iLink's offerings unique is the fact that we use pre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges. Requirements Job Summary: We are looking for a skilled and motivated Python and AWS Developer to join our dynamic engineering team. The ideal candidate will have strong expertise in Python (3.x) and modern web frameworks, AWS cloud services and solid knowledge of relational and graph databases. You’ll be responsible for designing, developing, and deploying scalable cloud-native applications and serverless architectures. Key Responsibilities - Develop, test, and maintain Python-based backend systems with a focus on object-oriented design, coding standards, and scalability. - Build and maintain RESTful APIs using frameworks such as Django and FastAPI. - Design and implement AWS cloud solutions leveraging services like Lambda, Step Functions, ECS, API Gateway, CloudWatch, and S3. - Write clean, maintainable, and efficient code following industry best practices. - Participate in architecture discussions, code reviews, and agile development cycles. - Collaborate with cross-functional teams to define, design, and ship new features. - Monitor and troubleshoot performance issues in production environments. - Maintain CI/CD pipelines. - Design and optimize relational databases (RDS) such as: PostgreSQL, MySQL, and data warehousing solutions like Snowflake. Preferred/Bonus Skills - Experience with OpenAI APIs, Large Language Models (LLMs), or Prompt Engineering. - Familiarity with CI/CD pipelines using tools like GitHub Actions, or GitLab CI. - Exposure to asynchronous programming and message queues. Benefits Competitive salaries Medical Insurance Employee Referral Bonuses Performance Based Bonuses Flexible Work Options & Fun Culture Robust Learning & Development Programs In-House Technology Training Show more Show less

Full Stack Developer - AI-Powered Systems Location: In-Person | HSR Layout, Bengaluru Type: Full-Time What We’re Building At Sapience1 , we’re on a mission to transform how families discover and access youth services — from academics and enrichment to life skills and care — using behavioral AI, intelligent design, and seamless technology. We’re not building just another app. We’re engineering the future of Human Experience Tech — where services feel smart, personal, and human. We’re looking for a builder — someone who thrives in fast-moving environments and loves turning complex challenges into real-world products. You’ll work directly with our CTO and core product team to build powerful, scalable, and AI-integrated features. What you'll do: Build full-stack features using React.js, Node.js, MongoDB/PostgreSQL Work on core AI-powered experiences like: ▸ Smart service matching ▸ Personalized dashboards ▸ Behavioral insights & summaries Write clean, modular code with an eye for scale, speed, and user delight Collaborate with UI/UX, AI, and data teams to turn ideas into reality Influence product architecture and roadmap through hands-on contribution You’ll Thrive Here If You… Have 2–5 years of hands-on full-stack experience Know your way around JavaScript/TypeScript , React.js , and Node.js Are curious about (or have worked with) AI tools and APIs Understand DB design and API integration (MongoDB/PostgreSQL) Want to build fast , experiment often, and deploy continuously Value clarity, ownership, and momentum over fluff and hierarchy Our Stack Includes Frontend: React.js, Next.js Backend: Node.js, Express Database: MongoDB, PostgreSQL DevOps: Azure, GitHub, CI/CD AI: OpenAI, LangChain Tools: MS Teams, Figma, Jira Compensation ₹80,000 – ₹1,20,000/month , depending on skillset and performance Why Now Is the Best Time to Join You’ll be shaping the core product alongside the founding team, with mentorship from our CTO and exposure to rapid cycles of build, test, and deploy. Show more Show less

About 23 Ventures 23 Ventures specializes in building technology to help startups and early-stage ideas achieve product-market fit, scale, and stay focused. We partner with startups and early-stage ideas to provide resources, practical advice, and expertise needed to scale. From navigating product-market fit to leveraging fractional resources, we ensure agility and efficiency, empowering founders to focus on their vision while staying adaptable. About this job We are seeking a talented and motivated QA Engineer with strong expertise in both manual and automation testing to join our dynamic team. In this role, you will be responsible for ensuring the quality of our software products through thorough testing, both manual and automated, as well as working with Jenkins for continuous integration and deployment. You will work closely with the development team to build, execute, and maintain comprehensive test cases that ensure the reliability and stability of our applications. Key responsibilities Develop and execute test cases for both manual and automated testing of our applications. Design and implement REST API test cases, using java or python tools Write automated tests using Selenium WebDriver, Java, Python, and other related frameworks. Perform manual testing of web applications across multiple browsers and platforms. Identify and report bugs/issues, track them, and verify the resolution. Integrate automated test cases with Jenkins for continuous integration and deployment. Collaborate with the development team to ensure seamless integration of testing into the development pipeline Participate in sprint planning, reviews, and retrospectives. Qualifications Proficient to fluent in Java/Python for API development and scripting Proficient in AWS services like Lambda, API Gateway, DynamoDB, S3, etc. Understanding of distributed systems and REST API design Experience writing unit and integration tests Experience working with LLMs like OpenAI or Gemini Preferred Skills Strong knowledge of REST API testing, using tools in python or similar. Expertise in Selenium WebDriver with Python for automated testing. Solid understanding of the software development lifecycle and agile methodologies. Strong debugging and problem-solving skills. Good communication skills and the ability to work collaboratively within a team. Job location Hybrid (Remote with proximity to Pune for on-site) Other benefits Work on exciting projects in diverse domains such Heatlhtech and AI. Flexible remote work environment Opportunity to collaborate with talented teams and grow professionally Why 23 Ventures? Inclusive Culture: We value diversity and strive to create an inclusive environment for all employees. Professional Growth: Opportunities for learning and development to help you grow in your career. Comprehensive Benefits: Competitive salary, health insurance, and more. Work-Life Balance: Flexible working arrangements to help you balance your personal and professional life. Show more Show less

Back Openings: 01 Experience: 2 years Location: Surat - Varachha Benefits 5-Days Working Paid Leaves Complimentary Health Insurance Overtime Pay Fun Activities Personal Loan Employee Training Positive Work Environment Professional Developments We are looking for an experienced AI/ML cum Python Developer with 2 years of hands-on work in machine learning, Python development, and API integration. The ideal candidate should also have experience building AI agentssmart systems that can plan tasks, make decisions, and work independently using tools like LangChain, AutoGPT, or similar frameworks. Youll be part of a collaborative team, working on real-world AI projects and helping us build intelligent, scalable solutions. Job Responsibility Key Responsibilities Develop, train, and deploy machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Develop AI agents capable of decision-making and multi-step task execution. Write efficient and maintainable Python code for data processing, automation, and backend services. Design and implement REST APIs or backend services for model integration. Handle preprocessing, cleaning, and transformation of large datasets. Evaluate model accuracy and performance, and make necessary optimizations. Collaborate with cross-functional teams including UI/UX, QA, and product managers. Stay updated with the latest trends and advancements in AI/ML. Key Performance Areas (KPAs): Development of AI/ML algorithms and backend services. AI agent development and performance. Model evaluation, testing, and optimization. Seamless deployment and integration of models in production. Technical documentation and project support. Research and implementation of emerging AI technologies. Key Performance Indicators (KPIs): Accuracy and efficiency of AI models delivered. Clean, reusable, and well-documented Python code. Timely delivery of assigned tasks and milestones. Issue resolution and minimal bugs in production. Contribution to innovation and internal R&D efforts. Required Skills & Qualification: Bachelors or Masters degree in Computer Science, IT, or related field. Minimum 2 years of experience in Python and machine learning. Hands-on with AI agent tools like LangChain, AutoGPT, OpenAI APIs, Pinecone, etc. Strong foundation in algorithms, data structures, and mathematics. Experience with Flask, FastAPI, or Django for API development. Good understanding of model evaluation and optimization techniques. Familiarity with version control tools like Git. Strong communication and team collaboration skills. Interview Process: HR Round Technical Round Practical Round Salary Negotiation Offer Release Show more Show less

Role –Senior Gen AI Engineer Location - Coimbatore Mode of Interview - In Person Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients Show more Show less

About Us Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises for two decades. Zycus has been consistently recognized by Gartner, Forrester, and other analysts for its Source to Pay integrated suite. Zycus powers its S2P software with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users. Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization. Start your #CognitiveProcurement journey with us, as you are #MeantforMore We Are An Equal Opportunity Employer Zycus is committed to providing equal opportunities in employment and creating an inclusive work environment. We do not discriminate against applicants on the basis of race, color, religion, gender, sexual orientation, national origin, age, disability, or any other legally protected characteristic. All hiring decisions will be based solely on qualifications, skills, and experience relevant to the job requirements. Job Description Zycus is looking for a passionate and curious AI Intern to join our innovative team. If you’re eager to work with cutting-edge technologies like LLMs (Large Language Models), open-source AI frameworks, and advanced NLP systems, this internship is your gateway to a high-impact career in Artificial Intelligence. What You Will Learn And Work On Assist in building AI solutions using open-source models (e.g., Llama 2, Mistral, Hugging Face) and third-party LLM APIs like OpenAI and Anthropic. Contribute to research and experimentation on advanced techniques such as Retrieval-Augmented Generation (RAG), GraphRAG, and Agent Systems using tools like LangChain or LlamaIndex. Support the team in deploying AI models using scalable tools like vLLM, FastAPI, or Flask. Help in integrating AI functionalities into real-world enterprise applications. Participate in developing data pipelines for AI projects – from data preprocessing to model evaluation. Stay updated on the latest AI trends and assist the team in identifying areas for innovation and improvement. Job Requirement Experience & Qualifications Bachelor’s/master’s in computer science, AI, or related field. Strong interest in AI/ML, with some exposure to Python and frameworks such as PyTorch, TensorFlow, or Hugging Face. Familiarity with at least one web framework (FastAPI or Flask preferred). Understanding of how LLMs work, including concepts like embeddings, fine-tuning, and prompt engineering (project work or self-learning is welcome). Good problem-solving skills and willingness to learn complex AI workflows in a production setting. Why Intern with Zycus? Real-world Projects: Work on live AI initiatives and contribute to Zycus’ AI-driven products. Mentorship: Learn from top AI professionals and collaborate with experienced engineers. Innovation Culture: Get hands-on experience with the latest in GenAI and open-source advancements. Global Exposure: Collaborate with teams working on international deployments and enterprise-grade solutions. Growth Potential: Many of our interns are offered full-time roles based on performance and fit. About Zycus Zycus is a pioneer in Cognitive Procurement software and a global leader in Source-to-Pay solutions. Powered by our Merlin AI Suite , Zycus automates tactical work, surfaces insights, and transforms enterprise procurement experiences. Join us and be part of the next generation of AI innovation. Start your #CognitiveProcurement journey with us – you are #MeantforMore Show more Show less

Location: Chennai, TN/ Hyderabad, TG/ Bangalore, KA/ Pune, MH Must-Have Skills: Backend Development: Python (FastAPI / Flask) AI Integration: OpenAI API (GPT-4o) Cloud Services: Azure Functions, Azure Storage Account, Cosmos DB Database & Caching: NoSQL (Cosmos DB) APIs & Authentication: RESTful APIs, OAuth, JWT DevOps & Deployment: CI/CD pipelines, Azure DevOps Code Quality: Unit Testing, Debugging, Performance Optimization Good-to-have Skills: Vector Databases for AI: Azure AI Search Logging & Monitoring: Application Insights, Azure Monitor Security: Azure Active Directory (AAD), Role-Based Access Control (RBAC) Retrieval-Augmented Generation with vector databases LLM Orchestration: LangChain or Semantic Kernel Experience in OCR, Automation, Natural language data analytics and AI agents is preferred. Experience in CRM, Personalization, Virtual Agents, and Self-service AI apps is preferred Work Hours: 04:00AM - 12:00PM PST Show more Show less

Were looking for a skilled Generative AI Engineer to build and deploy AI-powered applications using OpenAI models and Azure Cloud services . The ideal candidate will have experience in Python , RAG architectures , and OCR integration . Key Responsibilities: Develop GenAI apps using OpenAI APIs (ChatGPT, GPT-4, Embeddings). Deploy and manage solutions on Azure (App Services, Azure Functions, Cognitive Services). Build RAG pipelines with vector databases (e.g., Azure Cognitive Search). Integrate OCR using tools like Azure Vision or Tesseract . Automate workflows using Python and Azure SDKs. Ensure performance, scalability, and security in production environments. Skills Required: OpenAI (ChatGPT, GPT-4, Embeddings) Azure Cloud (Azure OpenAI, Azure Functions, Cognitive Services) Python (LangChain, FastAPI, SDKs) RAG frameworks & vector databases OCR tools (Tesseract, Azure OCR) Docker, Git, CI/CD pipelines Preferred: Experience with LangChain or LLM orchestration Familiarity with Azure DevOps or GitHub Actions

About Epikdoc AI At Epikdoc AI , we're on a mission to redefine healthcare documentation and diagnostics through intelligent automation. From AI-powered dental diagnostics to telehealth practice tools , we are building seamless and scalable platforms that empower doctors, patients, and insurers alike. If you’re excited about solving real-world problems through AI and automation, we’d love to hear from you! Role Overview We are looking for a Python Developer with strong backend expertise, particularly in Django , to join our fast-growing tech team. This role is perfect for someone who thrives in a startup environment and wants to build products that impact thousands of clinicians and patients globally . Key Responsibilities Design, develop, and maintain backend systems using Python, Django (primary) , and optionally Flask or FastAPI. Build secure, efficient RESTful APIs and support frontend integration. Collaborate closely with frontend developers, AI engineers, and product managers to deliver seamless experiences. Integrate systems such as payment gateways, user authentication , and third-party APIs. Manage and query databases including MySQL, PostgreSQL, and MongoDB . Set up Docker containers and contribute to deployment on AWS or similar cloud platforms . Write clean, maintainable, scalable code and conduct peer reviews. Contribute to CI/CD pipelines and version control with Git. Stay updated on backend, AI, and DevOps trends, bringing best practices into the team. Requirements Proficient in Python with 2+ years of experience in Django . Experience building scalable web applications and APIs. Familiarity with HTML, CSS, JS for backend-frontend integration. Solid grasp of SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB). Experience with Docker, AWS, Git , and version control workflows. Integration experience with Stripe, Razorpay , Firebase, etc. Excellent debugging, problem-solving, and performance optimization skills. Nice to Have Experience with FastAPI, WebSockets, GraphQL , or asynchronous frameworks . Familiarity with AI/ML , especially NLP and LLMs (OpenAI, Hugging Face). Experience with Celery, Redis, RabbitMQ or other task/message queues. Exposure to Sentry, Prometheus, Grafana for monitoring/logging. Contributions to open-source projects or past freelance experience. Why Join Us? Work on meaningful AI-driven healthcare tools used by doctors across the world Be part of a small, passionate, and growing team—your voice matters Flexible working hours Be a founding tech team member in a backed, fast-scaling startup Ready to Build the Future of Healthcare Tech? 👉 Apply now with your resume, GitHub (or portfolio), and a short note on why you’re excited about Epikdoc AI. Show more Show less

Job Details Job Description: Join Altera, a leader in programmable logic technology, as we strive to become the #1 FPGA company. We are looking for a skilled Jr. Data Scientist to develop and deploy production-grade ML pipelines and infrastructure across the enterprise. This is a highly technical, hands-on role focused on building scalable, secure, and maintainable machine learning solutions within the Azure ecosystem. As a member of our Data & Analytics team, you will work closely with other data scientists, ML specialists, and engineering teams to operationalize ML models using modern tooling such as Azure Machine Learning, Dataiku, and Kubeflow, etc. You’ll drive MLOps practices, automate workflows, and help build a foundation for responsible and reliable AI delivery. Responsibilities Design, build, and maintain automated ML pipelines from data ingestion through model training, validation, deployment, and monitoring using Azure Machine Learning, Kubeflow, and related tools. Deploy and manage machine learning models in production environments using cloud-native technologies like AKS (Azure Kubernetes Service), Azure Functions, and containerized environments. Partner with data scientists to transform experimental models into robust, production-ready systems, ensuring scalability and performance. Drive best practices for model versioning, CI/CD, testing, monitoring, and drift detection using Azure DevOps, Git, and third-party tools. Work with large-scale datasets from enterprise sources using Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, etc. Build integrations with platforms like Dataiku etc. to support collaborative workflows and low-code user interactions while ensuring underlying infrastructure is robust and auditable. Set up monitoring pipelines to track model performance, ensure availability, manage retraining schedules, and respond to production issues. Write clean, modular code with clear documentation, tests, and reusable components for ML workflows. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. 3+ years of hands-on experience developing and deploying machine learning models in production environments. Strong programming skills in Python, with experience in ML libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost. Proven experience with the Microsoft Azure ecosystem, especially: Azure Machine Learning (AutoML, ML Designer, SDK) Azure Synapse Analytics and Data Factory Azure Data Lake, Azure Databricks Azure OpenAI and Cognitive Services Experience with MLOps frameworks such as Kubeflow, MLflow, or Azure ML pipelines. Familiarity with CI/CD tools like Azure DevOps, GitHub Actions, or Jenkins for model lifecycle automation. Experience working with APIs, batch and real-time data pipelines, and cloud security practices. Why Join Us? Build and scale real-world ML systems on a modern Azure-based platform. Help shape the AI and ML engineering foundation of a forward-looking organization. Work cross-functionally with experts in data science, software engineering, and operations. Enjoy a collaborative, high-impact environment where innovation is valued and supported. Job Type Regular Shift Shift 1 (India) Primary Location: Ecospace 1 Additional Locations: Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Show more Show less

🚀 AI-Powered Marketing & Agent Architect – Future Business Unit Lead Company: Solvex Solutions Salary: Competitive + Growth-based Incentives At Solvex Solutions , we’re not building just another marketing agency—we’re creating the future of marketing. One powered by AI, automation, and intelligent agents . And we’re looking for the right person to help us lead the charge. We're hiring a Marketing Expert who can go far beyond traditional execution—someone who can design AI agents that think, act, and sell like human marketers and business developers. This is your chance to own the build of high-leverage systems and scalable go-to-market engines—powered by intelligent automation and generative AI. 🔍 What You’ll Do: Architect and launch automated marketing pipelines using platforms like Zapier, Make, HubSpot, and ActiveCampaign—integrated with AI for real-time content and decision-making. Design and deploy AI agents that replicate marketing and sales roles—handling outreach, nurturing, follow-ups, and even strategy prompts. Lead campaign execution across SEO, email, paid social, and influencer outreach—where automation amplifies human creativity. Build reusable “growth kits” for clients—pre-built automations, templates, and content engines. Work directly with founders to test, refine, and expand the core business model. 🧠 What You Bring: Proven digital marketing experience with a track record of leveraging AI and automation at scale . Deep technical knowledge of agent frameworks (e.g., OpenAI Assistants, AutoGPT, LangChain, etc.) and how they apply to marketing and sales use cases. Expertise in creating multi-step, context-aware marketing agents that can perform tasks, handle lead flow, and execute micro-strategies independently. Familiarity with content tools (ChatGPT, Jasper, Notion, Canva), campaign builders (Meta Ads, Google Ads), and CRM integrations. Strategic mindset—you can see where automation ends and human creativity begins. 🔮 Where This Can Go: Help us build the foundations of an AI-driven marketing services business and you won’t just have a job—you’ll be on the path to leading a full business unit . If you can prove the model, you’ll shape the offering, the team, and the future of the brand. Please share your CV at dhaivat@solvex-solutions.com Show more Show less

Responsibilities RESPONSIBILITIES Project Leadership: Manage ICERTIS GenAI application implementations. Take ownership of customer relationships for enterprise clients. Team Development: Build and foster internal consulting capabilities within the AI implementation team. Hire, develop, and manage a team of professionals to ensure timely, quality project delivery. Serve as a role model for project management, best practices, proactive action, and creative problem-solving. Client Engagement & Delivery: Define project scope in collaboration with business teams to ensure optimal implementation. Drive system configuration, deployment activities, and deliver high-quality solutions. Maintain strong customer relationships, serving as the company sponsor for key deployments. Serve as an escalation point for clients, ensuring smooth delivery and issue resolution. Cross-Functional Collaboration: Work closely with sales, presales, support, training, and development teams to drive customer success. Review key project deliverables with teams and provide accurate forecasts to management. Process & Documentation: Develop and maintain project plans, including task assignments, training materials, reports, process flows, dashboard metrics, etc. Strategic Contribution: Contribute to the product roadmap through insights from customer interactions and implementation experience. Build an organization that supports successful implementations of the Icertis Contract Management product. Travel: Willingness to travel to client sites for project-related meetings. Qualifications QUALIFICATIONS Experience: 20–25 years of experience, with a proven track record in enterprise application implementation. Prior experience in Contract Management or Supply Chain application implementations preferred. Recent experience managing GenAI projects/solutions for enterprise customers. Deep exposure to AI models, especially Azure OpenAI and ChatGPT. Skills & Competencies: Expertise in end-to-end enterprise project management and delivery. Strong analytical and problem-solving skills with a data-driven approach. Excellent written and verbal communication, with strong CXO-level presentation skills. Comfortable in a hands-on contributor role. Skilled in process improvement, decision making, planning, and standard development. Education: Bachelor’s degree in Science or Engineering (mandatory). MBA preferred. About Us Icertis is the global leader in AI-powered contract intelligence. The Icertis platform revolutionizes contract management, equipping customers with powerful insights and automation to grow revenue, control costs, mitigate risk, and ensure compliance - the pillars of business success. Today, more than one third of the Fortune 100 trust Icertis to realize the full intent of millions of commercial agreements in 90+ countries. About The Team Who we a re: Icertis is the only contract intelligence platform companies trust to keep them out in front, now and in the future. Our unwavering commitment to contract intelligence is grounded in our FORTE values—Fairness, Openness, Respect, Teamwork and Execution—which guide all our interactions with employees, customers, partners, and stakeholders. Because in our mission to be the contract intelligence platform of the world, we believe how we get there is as important as the destination. Icertis, Inc. provides Equal Employment Opportunity to all employees and applicants for employment without regard to race, color, religion, gender identity or expression, sex, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Icertis, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to careers@icertis.com or get in touch with your recruiter. Show more Show less

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools. Key Responsibilities Technical Leadership: Lead the end-to-end design and implementation of Generative AI solutions. Provide technical guidance and mentorship to engineers and data scientists working on GenAI projects. Stay updated with the latest trends, research, and advancements in Generative AI and Large Language Models (LLMs). Solution Development: Architect, train, and fine-tune state-of-the-art LLMs and generative AI models Develop and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and domain-specific fine-tuning. Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform Ensure scalability, performance, and security of AI solutions deployed in production. Integration and Deployment: API Development: Ability to define and deliver API access for GenAI services, facilitating integration with other systems and applications. Collaborate with software engineering teams to integrate GenAI solutions into enterprise applications and services. Utilize cloud platforms (e.g., Azure, AWS, or GCP) to deploy and manage AI models and APIs. Leverage MLOps practices for continuous model monitoring, retraining, and improvement. Data Strategy and Preparation: Collaborate with data engineering teams to ensure high-quality data acquisition, preprocessing, and augmentation for model training and fine-tuning. Implement data governance and privacy practices in line with organizational policies. Innovation and Research: Experiment with new generative AI techniques, such as multimodal AI, reinforcement learning with human feedback (RLHF), and active learning. Evaluate and recommend AI frameworks, libraries, and platforms for project requirements. Stakeholder Collaboration: Work closely with product managers, business stakeholders, and UX designers to define AI-powered product features and use cases. Present technical concepts, project progress, and AI capabilities to non-technical audiences. Key Requirements Technical Skills: Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI. Hands on experience in any of LLMs such as OpenAI’s ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF) Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms. Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models. Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn. Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker. Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred). 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI. Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science Proven track record of leading AI projects from inception to production. Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF). Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning). Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC And Its Subsidiaries And Its Affiliates (collectively, “Orion,” “we” Or “us”) Are Committed To Protecting Your Privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) Explains What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy. Show more Show less

Job Title: Solution Engineer Location: Chennai-Hybrid Type: C2H Why MResult? Founded in 2004, MResult is a global digital solutions partner trusted by leading Fortune 500 companies in industries such as pharma & healthcare, retail, and BFSI. MResult’s expertise in data and analytics, data engineering, machine learning, AI, and automation help companies streamline operations and unlock business value. As part of our team, you will collaborate with top minds in the industry to deliver cutting-edge solutions that solve real-world challenges. Website: https://mresult.com/ LinkedIn: https://www.linkedin.com/company/mresult/ What We Offer: At MResult, you can leave your mark on projects at the world’s most recognized brands, access opportunities to grow and upskill, and do your best work with the flexibility of hybrid work models. Great work is rewarded, and leaders are nurtured from within. Our values — Agility, Collaboration, Client Focus, Innovation, and Integrity — are woven into our culture, guiding every decision. What This Role Requires In the role of Solution Engineer , you will be a key contributor to MResult’s mission of empowering our clients with data-driven insights and innovative digital solutions. Each day brings exciting challenges and growth opportunities. Here is what you will do: Roles and responsibilities: Evaluates and implements solutions to meet business requirements, ensuring consistent usage and adherence to data management best practices. Collaborates with product owners to prioritize features and manage technical requirements based on business needs, new technologies, and known issues. Develops application design and documentation for leadership teams. Assists in defining the vision for the shared data model, including sourcing, transformation, and loading approaches. Manages daily operations of the team, ensuring on-time delivery of milestones. Accountable for end-to-end delivery of program outcomes within budget, aligning with relevant business units. Fosters collaboration with internal and external stakeholders, including software vendors and data providers. Works independently with minimal supervision, capable of making recommendations. Demonstrate a solid ability to tell a story with simplistic views of complex datasets. Deliver data reliability, efficiency, and best-in-class data governance, ensuring security and compliance. Will be an integral part of developing best-in-class solution for the GAV organization. Build dashboard and reporting proofs of concept as needed; develop reporting and analysis templates and tools. Work in close collaboration with business teams throughout MASPA (Market Access Strategy Pricing and Analytics) to determine tool functionality/configuration and data requirements to ensure that the analytic capability is supporting the most current business needs. Partner with the Digital Client Partners to align on priorities, processes and governance and ensure experimentation to activate innovation and pipeline value. Must - have Qualifications: Bachelor’s degree in computer science, Software Engineering, or engineering related area. 5+ years of relevant experience emphasizing data modelling, development, or systems engineering. 1+ years with a data visualization tool (e.g. Tableau, Power BI). 2+ Years of experience in any number of the following tools, languages, and databases: (e.g. MySQL, SQL, Aurora DB, Redshift, Snowflake). Demonstrated capabilities in integrating and analysing heterogeneous datasets; Ability to identify trends, identify outliers and find patterns. Demonstrated expertise and capabilities in matrixed, cross-functional teams and influencing without authority. Proven experience and demonstrated skills with AWS services, Tableau, Airflow, Python and Dataiku. Must be experienced in DevSecOps tools JIRA, GitHub. Experience in Database design tools. Deep knowledge of Agile methodologies and SDLC processes. Excellent written, interpersonal, and oral communication skills, communicate and liaise broadly across functions and the global organization. Strong analytical, critical thinking, and troubleshooting skills. Ambition to learn and utilize emerging technologies while working in a stimulating team environment. Nice-to-Have: Advanced degree in Computer Engineering, Computer Science, Information Systems or related discipline. Knowledge with GenAI and LLMs framework (OpenAI, AWS). US Market Access functional knowledge and data literacy. Statistical analysis to understand and improve possible limitations in models. Experience in AI/ML frameworks. Pytest and CI/CD tools. Experience in UI/UX design. Experience in solution architecture & product engineering. Manage, Master, and Maximize with MResult MResult is an equal-opportunity employer committed to building an inclusive environment free of discrimination and harassment. Take the next step in your career with MResult — where your ideas help shape the future. Show more Show less

**Job Description: Team Leader - Development** (www.caerusitconsulting.com) Location: Kolkata India Full time Shift Timing: 10:30 to 19:30 Working Days : Monday to Friday (might have to work occasionally on Saturdays to meet deadlines) Salary Range: 12 to 24 LPA Interview Process : 2 Technical Rounds and 1 HR round Ready to Hire from Out of Kolkata Candidates : Yes **Position Overview:** We are seeking a highly skilled and experienced Team Leader for Development to lead and manage our development teams. The ideal candidate will possess a strong technical background, exceptional leadership abilities, and a proven track record of successfully managing both local and remote teams. This role involves overseeing all aspects of software development, ensuring adherence to best practices, and fostering collaboration across teams to deliver high-quality solutions. **Key Responsibilities:** 1. **Team Management:** - Lead, mentor, and manage a team of developers, including local and remote members. - Foster a collaborative and inclusive team environment to ensure high levels of engagement and productivity. - Conduct regular performance evaluations and provide constructive feedback. 2. **Project Oversight:** - Oversee the planning, execution, and delivery of software development projects. - Collaborate with stakeholders to define project scope, objectives, and timelines. - Monitor project progress and address any roadblocks to ensure timely delivery. 3. **Technical Leadership:** - Create and review Technical and Functional Design Requirements documents. - Ensure adherence to coding standards, best practices, and industry guidelines. - Conduct code reviews to maintain high-quality standards and identify areas for improvement. 4. **Communication:** - Facilitate effective 360-degree communication between team members, stakeholders, and leadership. - Act as a liaison between technical teams and non-technical stakeholders to ensure alignment on project goals and requirements. 5. **Process Improvement:** - Establish, implement, and continuously refine best practices and coding standards. - Promote Agile methodologies and Scrum practices to optimize team workflows. - Identify opportunities for process improvements and drive initiatives to enhance team efficiency. 6. **Requirements Management:** - Collaborate with stakeholders to gather and scope project requirements. - Translate business needs into actionable technical specifications. 7. **Additional Responsibilities:** - Serve as a Scrum Master when necessary, facilitating Agile ceremonies and removing impediments. - Stay up-to-date with emerging technologies and trends to drive innovation within the team. 8. **Qualifications and Skills:** - At least 10 years of experience leading development teams in a fast-paced environment. - Excellent technical knowledge and exhaustive hands-on experience with Core Java, Python and NodeJS. - Hands-on experience with AI/ML projects and familiarity with OpenAI API will be preferred. - Proven experience managing local and remote teams. - Strong understanding of software development lifecycle (SDLC) and Agile methodologies. - Proficiency in creating and reviewing Technical and Functional Design Requirements documents. - Excellent communication and interpersonal skills for effective 360-degree communication. - Demonstrated ability to scope and manage project requirements effectively. - Hands-on experience with implementing best practices and coding standards. - Scrum Master certification or experience is a strong plus. - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. **What We Offer:** - A dynamic and collaborative work environment. - Opportunities for professional growth and development. - Competitive salary and benefits package. - The chance to work with cutting-edge technologies and drive impactful projects. If you’re a results-oriented leader with a passion for driving technical excellence and team success, we’d love to hear from you. Apply today to join Show more Show less

Job Title: Generative AI Engineer Location: Remote Experience: 4 to 7 Years Job type - Contractual About the Role: We are seeking talented and experienced Generative AI Engineers to join our growing remote team. In this role, you will be responsible for designing, developing, and deploying cutting-edge generative AI solutions using modern frameworks and LLM ecosystems. You’ll collaborate with cross-functional teams to build intelligent, scalable, and production-ready systems. Key Responsibilities: Design and develop microservice-based applications for AI use cases using Python and FastAPI Build and deploy LLM-based chatbots using GPT-4 , LangChain , and Azure OpenAI services Develop and maintain retrieval-augmented generation (RAG) pipelines using ChromaDB for document-based Q&A systems Integrate solutions with Azure AI tools and services for scalable deployment Implement effective prompt engineering techniques to optimize LLM performance Collaborate with DevOps and product teams to ensure high-quality delivery and reliability of AI solutions Optional: Work with LangGraph for advanced workflow orchestration in LangChain Required Skills & Qualifications: 4–7 years of overall experience in AI/ML, with at least 2 years in Generative AI Strong proficiency in Python and FastAPI Hands-on experience with GPT-4 , LangChain , and Azure OpenAI Experience working with ChromaDB or other vector databases Proven experience in microservices architecture and deployment Solid understanding of prompt engineering and chatbot development Strong debugging and problem-solving skills Nice to Have: Experience with LangGraph for managing complex LangChain workflows Familiarity with MLOps and CI/CD pipelines for AI model deployment What We Offer: Competitive compensation 100% remote working opportunity Work on state-of-the-art AI projects with a skilled and passionate team Opportunity to grow and learn in the rapidly evolving GenAI landscape Show more Show less