126 Open Ai Jobs - Page 5

We are looking for an experienced AI Developer or aspiring CTO who is ready to take up a co-founder-level role and lead the entire AI development.This is not just another jobit’s an opportunity to build a game-changing product from the ground up , shape the company’s future, and be rewarded with long-term equity and profits. Responsibilities Take end-to-end ownership of AI product development (design, architecture, implementation, optimization). Build and deploy AI/ML/NLP models for intelligent data extraction, analysis, personalization, and automation. Integrate third-party APIs (e.g., ChatGPT API, Make.com, Apify, Hunter, Apollo, etc.). Work closely with frontend/backend teams to build seamless user experiences. Continuously monitor, evaluate, and optimize AI solutions. Contribute to product strategy and roadmap as part of the core leadership team. Create scalable, secure, and modular systems for AI agents, market research tools, and CRM components. Must-Have Qualities Strong experience in AI/ML/NLP (e.g., OpenAI, LangChain, vector databases, RAG pipelines). Proven expertise in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch). Experience with APIs, automation workflows, no-code/low-code integrations, and AI infrastructure. Startup mindset: proactive, resourceful, and comfortable working with ambiguity. Entrepreneurial drive with a hunger to build and scale. Ability to independently manage projects, deadlines, and product cycles. Preferred Qualities Experience building AI products from scratch (especially SaaS platforms). Familiarity with marketing tech, web scraping, data enrichment tools. Prior startup or product-building experience (bonus if you’ve been a founder/CTO). Understanding of business and user-driven product development. What’s in It for You? Profit-Sharing : A percentage of profits plus salary as a founding team member. ESOPs : Earn equity based on performance, commitment, and milestones. Founder's Track : You’re not just an employee—you grow with the company as a leader. Ownership & Autonomy : You’ll define the AI roadmap and lead technical vision. Impact & Innovation : Directly influence how hundreds of businesses use AI to grow.

Job Summary: As a Technical Lead for Agentic AI Workflow Development, you will be responsible for designing, developing, and implementing advanced AI-driven workflows. You will lead a team of developers and collaborate with cross-functional teams to deliver high-quality solutions that meet business needs. Job Description: - Lead the end-to-end development of Agentic AI workflows, including Autogen, Llama, and Lang graph integration. - Design and implement solutions using large language models (LLMs) such as ChatGPT, Gemini, and Llama. - Develop and maintain scalable architectures on hyperscaler platforms (Azure, AWS, Google Cloud). - Utilize Python for backend development and automation tasks. - Ensure effective database management with a strong understanding of both SQL and NoSQL databases. - Troubleshoot and resolve technical issues in a timely manner. - Oversee the orchestration of jobs, including queuing and load balancing for optimal performance. - Collaborate with stakeholders to identify and implement real-world use cases, focusing on document-related solutions and agent interactions. - Mentor and guide junior developers, fostering a culture of continuous learning and improvement. Profile Description: - Bachelors degree in computer science, Engineering, or a related field; Masters degree preferred. - Proven experience as a Technical Lead or similar role in AI/ML development. - Strong proficiency in Python and experience with relevant libraries and frameworks. - In-depth knowledge of large language models (LLMs) and their applications. - Experience with hyperscaler architectures (Azure, AWS, Google Cloud). - Solid understanding of SQL and NoSQL databases, with hands-on experience in database design and management. - Excellent troubleshooting skills and the ability to solve complex technical problems. - Demonstrated experience in developing and deploying at least three real-world use cases involving document processing, auto agents, and orchestration. - Strong communication and leadership skills, with the ability to work collaboratively in a team environment. - Familiarity with AI frameworks and tools related to workflow automation. - Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Knowledge of CI/CD practices and tools.

Hi , We are having an urgent job opportunity for Part time Open AI Developer CANDIDATES BASED OUT OF NOIDA CAN ONLY APPLY Job Title: OpenAI Developer - LLM Training Specialist Location: Remote Job Summary: We are seeking an experienced OpenAI Developer with a strong background in Supervised Learning and hands-on experience in training Large Language Models (LLMs) . The ideal candidate will play a key role in training and fine-tuning AI models , specifically to enhance the capabilities of our ChatGPT AI assistants . If you have a passion for cutting-edge AI technology and enjoy solving complex challenges, wed love to hear from you! Key Responsibilities: Design, implement, and optimize training pipelines for LLMs. Fine-tune pre-trained models like ChatGPT to align with specific use cases and business needs. Develop and curate high-quality datasets for supervised learning and model training. Perform hyperparameter tuning to enhance model performance and efficiency. Collaborate with cross-functional teams to identify requirements and align AI models with organizational goals. Test and validate trained models to ensure they meet performance and accuracy benchmarks. Monitor and troubleshoot AI models during training and deployment phases. Stay updated with advancements in AI, machine learning, and OpenAI technologies. Technical Skills: Proficiency in OpenAI APIs and frameworks like PyTorch or TensorFlow. Hands-on experience in training and fine-tuning Large Language Models (LLMs) . Expertise in Supervised Learning and dataset preparation. Preferred Qualifications: Previous experience working with ChatGPT or similar LLMs. Knowledge of Reinforcement Learning from Human Feedback (RLHF) . Familiarity with ethical considerations and best practices in AI development.

General Summary: Qualcomm IT is seeking a Lead Conversational AI Developer for Intelligent Automation Center (IAC) Responsibilities include: Experience on designing and implementing Conversational AI solutions using Microsoft Azure and Copilot Stack in combination with GenAI Hands-on experience with Microsoft Copilot Studio, Microsoft Bot Framework, NLP, Azure AI Search and Azure OpenAI Extensive hands-on experience in implementing end-to-end projects utilizing Generative AI using Retrieval-Augmented Generation (RAG) or Agentic AI architecture Strong expertise in Python for building bot solutions Experience with Azure Cognitive Services (LUIS/CLU, QnA Maker/CQA, Spell Check,Speech API) for advanced NLP features. Knowledge of Power Automate, Azure Logic Apps, and APIs for extending Copilot Agent and bot functionalities. Experience in software development with a focus on Conversational AI and Machine Learning. Proficiency with tools and Frameworks such as LangChain, LlamaIndex, and Streamlit. Knowledge and implementation experience of chatbot technologies using Microsoft Azure Services and Power Platform. Ensure quality of coded components by performing thorough unit testing and develop reusable test cases Work collaboratively with test teams for supporting Product testing and UAT Report status, issues and risks to tech leads on a regular basis Improve skills in automation products through certifications Train and coach team members on Conversational AI related technologies Work independently with minimal supervision and good team management skills Excellent communication and collaboration skills Provide timely status on assignments, planned activities, issues, and dependencies Good knowledge on Conversational AI on Microsoft Stack (Copilot Studio, Azure AI Foundry, Azure AI Search, Azure OpenAI) Good understanding of Generative AI concepts and Frameworks like Langchain Hands-on programming experience on Python and any frontend technology like Angular Minimum Qualifications: 4+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience with a Bachelor's degree. OR 6+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience without a Bachelors degree. 2+ years experience with Database Design structures such as Mongo DB, MySQL.• Good understanding of conversational AI and Intelligent Automation methodologies and associated tools & technologies Knowledge of Process Mining concepts and implementation expereience using Celonis inclusing data models and dasboards Experience in business process diagrams and process flow charts with Automation Anywhere Certification in Industry Leading Robotic Automation products is a plus. Experience in identifying the right processes for Automation and providing estimates for implementations Programming concepts and coding background in Python Understanding of RDBMS concepts and writing SQL queries Expereience in Cloud (preferrably AWS) and certifications is a plus Experience in Agile development using standard tools like Jira Bachelor's degree and 5+ years IT-relevant work experience

Understanding of AI/ML concepts is essential, such as LLM’s Ability to build and integrate AI agents to optimize QA processes Jenkins, Maven, CI/CD, and Agile Transitioning from SpecFlow to ReqnRoll for coding tests. Focus on Microsoft Azure/OpenAI. Required Candidate profile 6+ years in automation testing Strong experience with Azure and AWS. Hands-on experience to build and integrate AI agents to optimize QA processes Proficiency in C#, Java, or Python.

Job Title: AI Developer Supply Chain Management Location: Permanent Remote Job Type: Full-time Team: Product AI Engineering We are looking for a talented LLM Developer to join our AI Engineering team and contribute to the development of the SCM Expert AI Agent the core brain behind AI capabilities like demand forecasting, anomaly detection, ETA prediction, and route optimization in the FarmToPlate (F2P) platform. In this role, you will focus on integrating and optimizing LLM-based agentic architectures using frameworks like LangChain, CrewAI, and RAG pipelines. Youll work closely with traditional ML developers and backend engineers to deploy intelligent, explainable, and real-time decision agents for supply chain management. Responsibilities: Design, build, and optimize LLM-based agents using LangChain, CrewAI, or custom wrappers. Implement RAG pipelines with vector stores (e.g., FAISS, ChromaDB) and embedding models. Develop LLM-powered tools for demand forecasting, query understanding, anomaly explanations, and summarization. Integrate agents with internal and external data sources using tools like MongoDB, Sklearn datasets, or Browsing Agents. Implement prompt engineering, agent memory, and context-chaining for more dynamic agent behavior. Collaborate with data science and product teams to translate SCM logic into agentic workflows. Expose models and agents through APIs using FastAPI, including role-based access if needed. Optimize runtime performance with quantization, PEFT (parameter-efficient finetuning), and model caching. Track experiments, versions, and deployment artifacts using tools like MLflow, SageMaker, or custom registries. Requirements: 3-5 years of experience working on Python-based AI systems. Strong understanding of LLMs, Transformers, Prompt Engineering, and conversational AI. Hands-on experience with LangChain, CrewAI, OpenAI/GPT APIs, or Hugging Face Transformers. Familiarity with RAG concepts, vector databases (FAISS, Chroma), and embedding techniques. Good knowledge of API frameworks (FastAPI/Flask) and working with JSON schema-driven inputs. Basic understanding of traditional ML models and workflows (e.g., regression, classification, anomaly detection). Comfortable integrating external data tools and APIs into LLM pipelines. Bonus Points For Experience building Agentic RAG systems that combine logic, tools, memory, and models. Knowledge of Open Source LLM tuning using PEFT, LoRA, bitsandbytes, Unsloth, etc. Familiarity with SageMaker, EKS, or deploying custom models to the cloud. Experience in supply chain/logistics, or working with ERP/SCM structured data. Built monitoring dashboards using Evidently.ai or similar model observability tools. Why Join Us Be part of a domain-driven AI platform blending supply chain expertise with modern agentic LLM architectures. Work on real-world use cases that impact farm-to-plate food systems at scale. Collaborate with a fast-moving, cross-functional team that values innovation, ownership, and outcome. Learn and grow in a modular, full-stack AI environment where your ideas become deployed APIs. Enjoy flexibility in remote, experimentation, and continuous learning.

We are looking for an AI Engineer (Senior Software Engineer). Interested candidates email me resumes on mayura.joshi@lionbridge.com OR WhatsApp on 9987538863 Responsibilities: Design, develop, and optimize AI solutions using LLMs (e.g., GPT-4, LLaMA, Falcon) and RAG frameworks. Implement and fine-tune models to improve response relevance and contextual accuracy. Develop pipelines for data retrieval, indexing, and augmentation to improve knowledge grounding. Work with vector databases (e.g., Pinecone, FAISS, Weaviate) to enhance retrieval capabilities. Integrate AI models with enterprise applications and APIs. Optimize model inference for performance and scalability. Collaborate with data scientists, ML engineers, and software developers to align AI models with business objectives. Ensure ethical AI implementation, addressing bias, explainability, and data security. Stay updated with the latest advancements in generative AI, deep learning, and RAG techniques. Requirements: 8+ years experience in software development according to development standards. Strong experience in training and deploying LLMs using frameworks like Hugging Face Transformers, OpenAI API, or LangChain. Proficiency in Retrieval-Augmented Generation (RAG) techniques and vector search methodologies. Hands-on experience with vector databases such as FAISS, Pinecone, ChromaDB, or Weaviate. Solid understanding of NLP, deep learning, and transformer architectures. Proficiency in Python and ML libraries (TensorFlow, PyTorch, LangChain, etc.). Experience with cloud platforms (AWS, GCP, Azure) and MLOps workflows. Familiarity with containerization (Docker, Kubernetes) for scalable AI deployments. Strong problem-solving and debugging skills. Excellent communication and teamwork abilities Bachelors or Masters degree in computer science, AI, Machine Learning, or a related field.

Level: Senior Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 14 to 20 years Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients' most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AI"and the data that fuels it all"to power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to client's technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI & Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data and AI and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design & guide development of Enterprise wide AI & Gen AI strategy for our clients Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current & recommend AI & Gen AI solutions Conduct discovery workshops and design sessions to elicit AI & Gen AI opportunities & client pain areas. Utilize strong expertise & certification in any of the AI & Gen AI Cloud platforms Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Have a deep understanding of the Responsible AI & Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Read more about us. Your experience counts! MBA from a tier 1 institute 7 10 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 4+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data & AI transformations Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential What's in it for you? An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions " underpinned by the world's largest delivery network " Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 569,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting: Accenture Strategy shapes our clients' future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategys services include those provided by our Capability Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Capability Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. For more information visit | At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, . Qualifications MBA from a tier 1 institute 7-10 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 4+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data & AI transformations Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential

Responsibilities: Design and manage application module for data Integration / ETL collection/processing/storage/retrieval) using latest technologies Should be completely aware of coding standards and should be able to design & develop high performance & scalable application Ability to prototype solutions quickly and analyse and compare multiple solutions and products based on requirements. Required Skills: Broad experience in programming and implementing large distributed systems. Strong Handson experience in developing applications using Java/J2EE, with Spring boot framework knowledge and experience. Experience in core java fundamentals, Java 8+, Spring, Spring boot, Restful APIs and Soap Services. Must possess application development on microservices environment Strong hands-on with design patterns, clean code. Experience with middleware/messaging technologies such as MQ, JMS, Kafka and exposure to event-driven design patterns. Good analytical and document skills Good to have: Experience in data analytics an reports is an advantage knowledge of different industry standards like Open API and Open Telemetry Experience in design and development of integration tools like monitoring, Dashboard, reports and ITSM tools

We are seeking a talented and experienced Python Developer + Data Scientist with a strong background in Flask to join our dynamic team. The ideal candidate will have a passion for leveraging data to drive insights and create impactful solutions, along with proficiency in Python development, particularly with Flask. Responsibilities: Develop and maintain Python-based applications, with a focus on Flask for web development. Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions. Design, implement, and maintain data pipelinesfor collecting, processing, and analysing large datasets. Perform exploratory data analysis to identify trends, patterns, and insights. Build machine learning models and algorithms to solve business problems and optimize processes. Deploy and monitor data science solutions in production environments. Conduct code reviews, testing, and debugging to ensure the quality and reliability of software applications. Stay updated with the latest trends and advancements in Python development, data science, and machine learning. Requirements: Bachelors or Master's degree in Computer Science, Data Science, or a related field. 2+ years of professional experience in Python development and data science. Strong proficiency in Python programming languagewith Flask framework and familiarity with relational databases (e.g., MySQL). Proficiency in handling and manipulating various types of data, including structured and unstructured data, using Python libraries such as Pandas, NumPy, and Beautiful Soup. Apply machine-learning techniques to analyse and extract insights from large text datasets, including social media data, customer feedback, and user interactions, to inform business decisions and strategy. Knowledge of machine learning techniques and libraries (e.g., scikit-learn, TensorFlow). Familiarity with creating and managing projects involving language models such as OpenAI's GPT (Generative Pre-trained Transformer) series, including ChatGPT and other prompt engineering tasks. Use models for LLMs and related tasks to enhance Chabots, virtual assistants, and other conversational AI applications, improving natural language understanding, conversation flow, and response generation. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. Experience with version control systems (e.g., Git). Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities

Job role - Prompt engineer with Insurance Experience - 2 to 8 Years Location - Bangalore 2+ years relevant experience with prompt engineering preferably with OpenAI Proven expertise in prompt engineering strategies and their application to real-world problems, experience in Insurance usecases will be preferred Hands on experience in designing, developing and refining prompts, optimizing prompt performance, and improving the AI prompt generation process for various applications Hands-on experience in RAG-based solutions for data retrieval and conversational AI & chatbot development Experience with Voice AI platform e.g. ElevanLabs or similar with Voice Modulation experience to create conversational Voice Bots Experience with vector database PGVector and structured data sources Good exposure to Insurance Domain will be an added advantage

Role & responsibilities Experience in Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen Preferred candidate profile

We are hiring an experienced AI Engineer / ML Specialist with deep expertise in Large Language Models (LLMs), who can fine-tune, customize, and integrate state-of-the-art models like OpenAI GPT, Claude, LLaMA, Mistral, and Gemini into real-world business applications. The ideal candidate should have hands-on experience with foundation model customization, prompt engineering, retrieval-augmented generation (RAG), and deployment of AI assistants using public cloud AI platforms like Azure OpenAI, Amazon Bedrock, Google Vertex AI, or Anthropics Claude. Key Responsibilities: LLM Customization & Fine-Tuning Fine-tune popular open-source LLMs (e.g., LLaMA, Mistral, Falcon, Mixtral) using business/domain-specific data. Customize foundation models via instruction tuning, parameter-efficient fine-tuning (LoRA, QLoRA, PEFT), or prompt tuning. Evaluate and optimize the performance, factual accuracy, and tone of LLM responses. AI Assistant Development Build and integrate AI assistants/chatbots for internal tools or customer-facing applications. Design and implement Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, LlamaIndex, Haystack, or OpenAI Assistants API. Use embedding models, vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB), and cloud AI services. Must have experience of finetuning, and maintaining microservices or LLM driven databases. Cloud Integration Deploy and manage LLM-based solutions on AWS Bedrock, Azure OpenAI, Google Vertex AI, Anthropic Claude, or OpenAI API. Optimize API usage, performance, latency, and cost. Secure integrations with identity/auth systems (OAuth2, API keys) and logging/monitoring. Evaluation, Guardrails & Compliance Implement guardrails, content moderation, and RLHF techniques to ensure safe and useful outputs. Benchmark models using human evaluation and standard metrics (e.g., BLEU, ROUGE, perplexity). Ensure compliance with privacy, IP, and data governance requirements. Collaboration & Documentation Work closely with product, engineering, and data teams to scope and build AI-based solutions. Document custom model behaviors, API usage patterns, prompts, and datasets. Stay up-to-date with the latest LLM research and tooling advancements. Required Skills & Qualifications: Bachelors or Masters in Computer Science, AI/ML, Data Science, or related fields. 36+ years of experience in AI/ML, with a focus on LLMs, NLP, and GenAI systems. Strong Python programming skills and experience with Hugging Face Transformers, LangChain, LlamaIndex. Hands-on with LLM APIs from OpenAI, Azure, AWS Bedrock, Google Vertex AI, Claude, Cohere, etc. Knowledge of PEFT techniques like LoRA, QLoRA, Prompt Tuning, Adapters. Familiarity with vector databases and document embedding pipelines. Experience deploying LLM-based apps using FastAPI, Flask, Docker, and cloud services. Preferred Skills: Experience with open-source LLMs: Mistral, LLaMA, GPT-J, Falcon, Vicuna, etc. Knowledge of AutoGPT, CrewAI, Agentic workflows, or multi-agent LLM orchestration. Experience with multi-turn conversation modeling, dialogue state tracking. Understanding of model quantization, distillation, or fine-tuning in low-resource environments. Familiarity with ethical AI practices, hallucination mitigation, and user alignment. Tools & Technologies: Category Tools & Platforms LLM Frameworks Hugging Face, Transformers, PEFT, LangChain, LlamaIndex, Haystack LLMs & APIs OpenAI (GPT-4, GPT-3.5), Claude, Mistral, LLaMA, Cohere, Gemini, Azure OpenAI Vector Databases FAISS, Pinecone, Weaviate, ChromaDB Serving & DevOps Docker, FastAPI, Flask, GitHub Actions, Kubernetes Deployment Platforms AWS Bedrock, Azure ML, GCP Vertex AI, Lambda, Streamlit Monitoring Prometheus, MLflow, Langfuse, Weights & Biases.

We are hiring an experienced AI Engineer / ML Specialist with deep expertise in Large Language Models (LLMs), who can fine-tune, customize, and integrate state-of-the-art models like OpenAI GPT, Claude, LLaMA, Mistral, and Gemini into real-world business applications. The ideal candidate should have hands-on experience with foundation model customization, prompt engineering, retrieval-augmented generation (RAG), and deployment of AI assistants using public cloud AI platforms like Azure OpenAI, Amazon Bedrock, Google Vertex AI, or Anthropics Claude. Key Responsibilities: LLM Customization & Fine-Tuning Fine-tune popular open-source LLMs (e.g., LLaMA, Mistral, Falcon, Mixtral) using business/domain-specific data. Customize foundation models via instruction tuning, parameter-efficient fine-tuning (LoRA, QLoRA, PEFT), or prompt tuning. Evaluate and optimize the performance, factual accuracy, and tone of LLM responses. AI Assistant Development Build and integrate AI assistants/chatbots for internal tools or customer-facing applications. Design and implement Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, LlamaIndex, Haystack, or OpenAI Assistants API. Use embedding models, vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB), and cloud AI services. Must have experience of finetuning, and maintaining microservices or LLM driven databases. Cloud Integration Deploy and manage LLM-based solutions on AWS Bedrock, Azure OpenAI, Google Vertex AI, Anthropic Claude, or OpenAI API. Optimize API usage, performance, latency, and cost. Secure integrations with identity/auth systems (OAuth2, API keys) and logging/monitoring. Evaluation, Guardrails & Compliance Implement guardrails, content moderation, and RLHF techniques to ensure safe and useful outputs. Benchmark models using human evaluation and standard metrics (e.g., BLEU, ROUGE, perplexity). Ensure compliance with privacy, IP, and data governance requirements. Collaboration & Documentation Work closely with product, engineering, and data teams to scope and build AI-based solutions. Document custom model behaviors, API usage patterns, prompts, and datasets. Stay up-to-date with the latest LLM research and tooling advancements. Required Skills & Qualifications: Bachelors or Masters in Computer Science, AI/ML, Data Science, or related fields. 36+ years of experience in AI/ML, with a focus on LLMs, NLP, and GenAI systems. Strong Python programming skills and experience with Hugging Face Transformers, LangChain, LlamaIndex. Hands-on with LLM APIs from OpenAI, Azure, AWS Bedrock, Google Vertex AI, Claude, Cohere, etc. Knowledge of PEFT techniques like LoRA, QLoRA, Prompt Tuning, Adapters. Familiarity with vector databases and document embedding pipelines. Experience deploying LLM-based apps using FastAPI, Flask, Docker, and cloud services. Preferred Skills: Experience with open-source LLMs: Mistral, LLaMA, GPT-J, Falcon, Vicuna, etc. Knowledge of AutoGPT, CrewAI, Agentic workflows, or multi-agent LLM orchestration. Experience with multi-turn conversation modeling, dialogue state tracking. Understanding of model quantization, distillation, or fine-tuning in low-resource environments. Familiarity with ethical AI practices, hallucination mitigation, and user alignment. Tools & Technologies: Category Tools & Platforms LLM Frameworks Hugging Face, Transformers, PEFT, LangChain, LlamaIndex, Haystack LLMs & APIs OpenAI (GPT-4, GPT-3.5), Claude, Mistral, LLaMA, Cohere, Gemini, Azure OpenAI Vector Databases FAISS, Pinecone, Weaviate, ChromaDB Serving & DevOps Docker, FastAPI, Flask, GitHub Actions, Kubernetes Deployment Platforms AWS Bedrock, Azure ML, GCP Vertex AI, Lambda, Streamlit Monitoring Prometheus, MLflow, Langfuse, Weights & Biases

Job Summary: We are looking for a Senior Generative AI Engineer who will be responsible for developing, fine-tuning, and deploying Generative AI solutions tailored to business needs. This role requires hands-on expertise in Gen AI development, a strong understanding of Azure , and the flexibility to adapt to evolving AI technologies. This role requires a blend of technical expertise, business acumen, and adaptability, ensuring that Generative AI solutions deliver real impact while staying aligned with evolving business needs. Key Responsibilities Develop and deploy Generative AI solutions using OpenAI, Hugging Face, and Llama APIs to address business challenges Proficient in API-first development, with experience using development platforms like VS Code and API testing tools such as Postman and Swagger. Strong expertise in relational databases and SQL, with excellent Python skills and a solid understanding of JavaScript. Hands-on experience with Azure platform, including Azure Blob Storage, Azure AI Search, Azure Data Factory, and Azure AI Foundry. Expertise in NLP, prompt engineering, fine-tuning, AI-powered chatbots, RAG (Retrieval Augmented Generation), vector databases, and embeddings. Collaborate with business stakeholders and cross-functional teams to align AI solutions with business objectives and handle cross-functional dependencies. Translate complex technical concepts into business-friendly insights and provide actionable recommendations to non-technical stakeholders. Strong communication and stakeholder management skills to effectively gather necessary information and drive AI initiatives forward. Should be a strong team player, actively supporting colleagues and fostering a collaborative, positive team environment. A proactive attitude, good judgment, and common sense in decision making and interactions are essential. Work on relationship building and should be able to position the team in good terms with business and other teams

Key Responsibilities: Design, develop, and maintain scalable and secure APIs using .NET (C#, ASP.NET Core). Integrate LLMs such as OpenAI GPT, Azure OpenAI, or other NLP/ML models into .NET-based applications. Collaborate with data scientists and AI engineers to deploy and consume machine learning models. Implement prompt engineering logic and fine-tune API interactions with LLMs. Ensure high performance, responsiveness, and scalability of backend systems. Maintain clean, testable, and well-documented code.

GenAI lead Exp: 10-14years Location: Mumbai Skills Required: AgenticAI, MCP Basic Qualifications 6+ years of professional experience in backend development and ML/GenAI engineering using Python. Strong proficiency in Python, object-oriented programming, and GenAI frameworks. Familiarity with agent communication protocols and multi-agent systems, including MCP (Multi-agent Communication Protocols). Experience with AI tools and libraries, such as Hugging Face, LangChain, or OpenAI APIs. Familiarity with RESTful API design and implementation. Experience with relational databases such as MySQL, PostgreSQL, or Oracle. Proficient in version control systems such as Git. Strong problem-solving skills and attention to detail. Experience with Docker for containerization and deploying ML services. Familiarity with microservices architecture and designing scalable AI-powered applications. Familiarity with developing, training, deploying, and maintaining machine learning models, including LLMs (Large Language Models). Preferred Qualifications Generative AI: Hands-on experience and deep understanding of Generative AI technologies, including LLMs (e.g., GPT, Llama, etc.), and their applications. Expertise in prompt engineering, model fine-tuning, and evaluation of AI/ML models. Familiarity with orchestration frameworks and agent-based architectures. Experience using and integrating cutting-edge AI tools and platforms. Innovation: Ability to think creatively about applying AI/ML (including GenAI and LLMs) to drive business value and innovation, particularly within the payment technology or fintech space. Strong communication skills and experience collaborating in cross-functional teams. Knowledge of best practices for responsible AI, model monitoring, and ethical considerations in AI deployment.

Key Skills: Data Scientist, NLP, Python, Data Science, Open AI. Roles & Responsibilities: Develop and implement NLP models using frameworks such as spaCy, NLTK, and Hugging Face Transformers. Utilize large language models (LLMs) and embedding techniques for various data science applications. Conduct text classification, summarization, topic modeling, named entity recognition, and intent detection. Deploy machine learning models in production using orchestration tools like Airflow and MLflow. Collaborate in cloud environments, preferably Azure, and utilize tools such as Docker and Kubernetes (AKS). Work with data science libraries in Python, including SciPy, NumPy, TensorFlow, and SciKit-Learn. Build data science models for user-facing applications, including recommendation systems. Integrate with REST APIs and handle streaming datasets. Understand and work with graph data using Neo4j and RDBMS data structures, including Azure Tables and Blob storage. Implement CI/CD processes using Git for cloud configurations and standard code repositories. Experience Required: 5-8 years of experience in developing and deploying NLP models and machine learning solutions. Proven hands-on experience with Python, NLP libraries, and cloud platforms like Azure. Strong background in model deployment, orchestration tools, and working with large-scale datasets. Practical experience integrating models with APIs and managing production environments using CI/CD tools. Education: Any Graduation.

Company - Trantor Software Experience - 6+ years (2 years as lead role) Location - Chandigarh (Hybrid) About the Role We are looking for a hands-on technical lead with strong Python expertise and a deep understanding of Large Language Model (LLM) integration to lead the design, development, and deployment of AI-powered solutions. This role requires a balance of technical leadership, architecture design, and hands-on coding to ensure high-quality, scalable, and efficient AI-driven applications. You will collaborate closely with product, data science, and MLOps teams to integrate LLMs into real-world applications, optimize performance, and guide the team in best practices for AI system design. Required Skills & Experience Technical: Strong proficiency in Python (FastAPI, Flask). Solid experience with LLM integration (OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex). Understanding of RAG pipelines (vector databases like Pinecone, Weaviate, FAISS, Milvus). Experience with prompt engineering & evaluation techniques. Knowledge of MLOps tools (MLflow, Kubeflow, Langfuse) and deployment on AWS/GCP/Azure. Familiarity with containerization and orchestration (Docker, Kubernetes). Strong grasp of REST APIs, GraphQL, and microservices architecture. Knowledge of model fine-tuning and performance optimization.

Key Responsibilities 1. To leverage design expertise to ensure that software and products exhibit user-friendliness, intuitiveness, and alignment with user expectations, contributing to the creation of seamless user experiences. 2. To lead a team of designers, provide guidance, and ensuring the delivery of high-quality design solutions in alignment with the overall business goals. 3. To present design concepts and play a crucial role in shaping the overall design vision and strategy. 4. To stay abreast of industry trends, emerging technologies to drive innovation and excellence in design. Must have Skill: scalable Generative AI solutions using platforms like OpenAI, Azure OpenAI, or similar. data scientists, ML engineers, product managers, and business stakeholders Lead the development and deployment of LLM-based applications 8+ years of experience in AI/ML, with at least 2+ years focused on Generative AI or LLMs. Deep understanding of NLP, transformers, and prompt engineering techniques.

Job Title: Senior Principal Data Engineer Location: Gurgaon, Bangalore Work Schedule: 12:00 PM 8:30 PM IST Job Type: Full-Time Position Overview: We are seeking a Senior Principal Data Engineer with expertise in cloud-native AI/ML architecture and Generative AI . This role will be pivotal in designing innovative solutions, guiding development teams, and ensuring alignment with architectural best practices while leveraging cutting-edge technologies and AWS cloud services. Key Responsibilities: Architect Generative AI solutions using AWS services: Bedrock , SageMaker , Kendra , S3 , PGVector. Lead end-to-end solution design for AI/ML initiatives and complex data systems. Collaborate with cross-functional teams (onshore and offshore) to implement solutions. Conduct technical reviews, guide developers, and ensure code quality and best practices. Navigate and manage governance and architectural approval processes. Present solutions and provide technical advice to senior leadership and stakeholders . Mentor junior engineers and promote a culture of innovation and continuous learning. Evaluate and integrate emerging technologies like LangChain . Work closely with data scientists and data analysts to optimize model performance and data usage. Design and implement ETL pipelines , data flows, and support diverse data types (structured/unstructured). Lead technical workshops, documentation, and architecture planning. Required Qualifications: 12-15 years of experience in software engineering, data architecture, and solution design. Proven track record in building and deploying AI/ML, analytics, and data-driven platforms. Expert-level knowledge of AWS services: Bedrock SageMaker Kendra S3 PGVector Strong hands-on experience in Python (primary), with additional skills in Java or Scala. Deep understanding of data structures, algorithms, and software design patterns. Strong background in data pipelines, ETL, and working with structured, semi-structured, and unstructured data. Familiarity with DevOps, CI/CD pipelines, and infrastructure-as-code principles. Awareness of AI ethics, bias mitigation, and responsible AI frameworks. Experience with tools/frameworks like LangChain is highly desirable.

Role & responsibilities Job Summary: We are seeking a passionate and skilled Gen AI Developer with hands-on experience in AWS and Python . The ideal candidate should have a strong foundation in building and deploying AI/ML models, with a focus on generative AI technologies. You will be responsible for designing, developing, and implementing solutions that leverage Gen AI capabilities on cloud platforms, primarily AWS. Key Responsibilities: Design and develop applications using Generative AI frameworks (e.g., OpenAI, Hugging Face, LangChain, etc.) Build and deploy AI/ML models on AWS cloud infrastructure Develop backend components and services using Python Integrate AI services into business applications using RESTful APIs Collaborate with data scientists, cloud engineers, and product teams to translate business needs into technical solutions Optimize model performance, monitor deployments, and troubleshoot issues in production Ensure data security, compliance, and governance in AI solutions Stay updated with advancements in Gen AI, AWS services, and ML/AI ecosystems Required Skills: 36 years of experience in software development with a strong focus on Python Solid hands-on experience with Generative AI tools/frameworks such as OpenAI, Hugging Face, LangChain, etc. Strong knowledge of AWS services like Sagemaker, Lambda, API Gateway, S3, EC2, etc. Experience building and consuming RESTful APIs Familiarity with machine learning concepts, model training, evaluation, and deployment Version control with Git/GitHub Experience with data handling using Pandas, NumPy , etc. Knowledge of containerization tools like Docker is a plus Preferred Qualifications: AWS Certification (Developer Associate / Machine Learning Specialty) is a plus Experience working in an Agile/Scrum environment Familiarity with DevOps practices and CI/CD pipelines

We are seeking a talented and experienced Python Developer + Data Scientist with a strong background in Flask to join our dynamic team The ideal candidate will have a passion for leveraging data to drive insights and create impactful solutions, along with proficiency in Python development, particularly with Flask Responsibilities: Develop and maintain Python-based applications, with a focus on Flask for web development Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions Design, implement, and maintain data pipelinesfor collecting, processing, and analysing large datasets Perform exploratory data analysis to identify trends, patterns, and insights Build machine learning models and algorithms to solve business problems and optimize processes Deploy and monitor data science solutions in production environments Conduct code reviews, testing, and debugging to ensure the quality and reliability of software applications Stay updated with the latest trends and advancements in Python development, data science, and machine learning Requirements: Bachelors or Master's degree in Computer Science, Data Science, or a related field 2+ years of professional experience in Python development and data science Strong proficiency in Python programming languagewith Flask framework and familiarity with relational databases (eg, MySQL) Proficiency in handling and manipulating various types of data, including structured and unstructured data, using Python libraries such as Pandas, NumPy, and Beautiful Soup Apply machine-learning techniques to analyse and extract insights from large text datasets, including social media data, customer feedback, and user interactions, to inform business decisions and strategy Knowledge of machine learning techniques and libraries (e g, scikit-learn, TensorFlow) Familiarity with creating and managing projects involving language models such as OpenAI's GPT (Generative Pre-trained Transformer) series, including ChatGPT and other prompt engineering tasks Use models for LLMs and related tasks to enhance Chabots, virtual assistants, and other conversational AI applications, improving natural language understanding, conversation flow, and response generation Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform Experience with version control systems (eg, Git) Excellent problem-solving skills and attention to detail Strong communication and collaboration abilities

Required- Senior Manager Technology | Solution Architect Generative AI Location- Gurgaon and Bangalore Available to join immediately - 30 days ONLY. Bringing 12-18 years of progressive technology experience, including 5+ years architecting AI/ML and Generative AI solutions. Holds a Bachelor's degree in Computer Science or related field; Master's/PG in AI/ML preferred. Proven track record in leading the full lifecycle of enterprise-grade Generative AI solution development across Azure and Google Cloud. Strong full-stack architectural expertise in React, Node.js, and .NET, with a focus on scalable data platforms, secure DevSecOps practices, and delivering exceptional business outcomes. For more details, please share your CV via email [ admin@spearheadps.com] or contact me on WhatsApp/call at [9899080360].

Location : Bangalore Notice period : immediate to 60 Days Proven experience with Azur OpenAI and Microsoft Copilot. • Strong knowledge of Power Platform, especially Power Apps. • Proficiency in Azure services, REST APIs, and data integration. • Experience with prompt engineering and fine-tuning language models. • Familiarity with Power BI is a plus. • Strong problem-solving and communication skills. • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.0