126 Open Ai Jobs

Job Title: Lead Data Scientist Location: Noida Employment Type: Full-time Responsibilities: Lead and manage a team of data scientists, providing guidance, mentorship, and technical expertise Collaborate with stakeholders to understand business objectives and develop data science strategies aligned with those objectives Design, develop, and implement advanced machine learning and statistical models to solve complex business problems. Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. Good in fine-tuning, and optimization of LLMs like Open AI, Gemini AI, Copilot, and open-source models like LLAMA, DeepSeek, and BERT Hands-on experience in Prompt Engineering and RAG for real-world applications Develop Conversational AI, ChatBots, VoiceBots using modern NLP frameworks like SpaCy, Rasa, LangChain, Hugging Face Use vector databases like Pinecone, Vertex AI, ChromaDB, or SingleStore to manage embeddings at scale Deploy and monitor models on cloud platforms like Azure and GCP Lead client engagements, RFP responses generation, and PoC development for both internal and external stakeholders Provide technical guidance, code reviews, and performance optimization support Explore and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets. Develop predictive/prescriptive models, algorithms, and prototypes to support business. Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations. Play an active role in software development processes. Stay up to date with the latest trends and advancements in data science, machine learning, and AI technologies and identify opportunities to apply them to improve business outcomes. Qualifications: A B.Tech / M.Tech / MBA from a top tier Institute preferably in a quantitative subject 5+ years of hands-on experience in applied Machine Learning, AI and analytics with a proven track record of developing AI/LLM models and algorithms A masters or bachelors degree in data science, Computer Science, Statistics, or a related field Strong programming skills in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) Expertise in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. Strong expertise in Machine Learning, Deep Learning, Data mining, and Statistical concepts and experience in developing models and solutions in these areas Expertise in client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. Strong publication record in top-tier journals and conferences. Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Experience developing software in traditional programming languages (C++, Java, etc..). Excellent written and spoken communication skills About Us E-Solutions is a leading AI consulting firm delivering cutting-edge solutions across recruitment & staffing, IT services, finance, retail, education, and manufacturing. We specialize in building advanced AI/ML products including large-scale recommender systems, LLM-based chatbots, AI-powered resume engines, GenAI copilots, and enterprise-wide automation systems. As part of our growing AI leadership team, we are looking for a Principal Data Scientist who can architect, lead, and implement end-to-end AI/ML solutions using the latest in Generative AI, LLMs, Vector Databases, and NLP frameworks. Reimagine the Future of IT Consulting & Development with ML, GenAI, & Agentic AI At E-Solutions, we empower global businesses by enhancing their IT infrastructure and software capabilities. Over two decades, weve grown into a trusted global partner, operating in 35+ countries with a team of 5,000+ professionals. Our expertise in Managed IT Services and Software Product Engineering, combined with robust testing, cloud solutions and AI/ML/Gen AI in NLP & Computer Vision domains ensures that the enterprise thrives in a competitive digital landscape. E-Solutions has achieved significant success in implementing ML/GenAI/Agentic AI projects like AI enabled matching of professionals profiles based on customer requirements, Agentic AI based end-to-end recruitment platform which will process & summarize customer requirements and AI agent will conduct online interviews and have efficient assessment to retrieve relevant profiles, Conversational AI Engine, Detecting Suspicious Behaviour during interviews etc. Simultaneously, the company successfully executed mergers and acquisitions, driving significant growth and expansion and embarking on a transformative digital journey. Join us to be the part of this innovative journey to build cutting-edge advance Agentic AI platform to deliver AI/ML/GenAI use cases across industries. Show more Show less

AI/ML Developer Registration Link: https://agilisium.zohorecruit.com/jobs/Careers/589705000032552308/AI-ML-Engineer?source=CareerSite Years of experience: 3+ years (minimum 3 years of relevant experience) Key Skills: Python, Tensorflow, Generative AI ,Machine Learning, AWS , Agentic AI, Open AI, Claude, Fast API Job description: Experience in Gen AI, CI/CD pipelines, scripting languages, and a deep understanding of version control systems(e.g. Git), containerization (e.g. Docker), and continuous integration/deployment tools (e.g. Jenkins) third party integration is a plus, cloud computing platforms (e.g. AWS, GCP, Azure), Kubernetes and Kafka. Experience building production-grade ML pipelines. Proficient in Python and frameworks like Tensorflow, Keras , or PyTorch. Experience with cloud build, deployment, and orchestration tools Experience with MLOps tools such as MLFlow, Kubeflow, Weights & Biases, AWS Sagemaker, Vertex AI, DVC, Airflow, Prefect, etc., Experience in statistical modeling, machine learning, data mining, and unstructured data analytics. Understanding of ML Lifecycle, MLOps & Hands on experience to Productionize the ML Model Detail-oriented, with the ability to work both independently and collaboratively. Ability to work successfully with multi-functional teams, principals, and architects, across organisational boundaries and geographies. Equal comfort driving low-level technical implementation and high-level architecture evolution Experience working with data engineering pipelines Location: World Trade Center 1st floor of Tower B, 5/142, Rajiv Gandhi Salai, Perungudi, Chennai- 600096 Walkin Date: 17th Sep 2025 Time: 11:00 am to 3:00pm Contact Recruiter: Anishma Alexen

Candidate Specification: 6+ years experience, hybrid work model and day shifts, Notice - Immediate to 30days. ; Expertise in OpenAI GPT3.5. Good in; Prompt Engineering, and Generative AI to drive innovative solutions in geo spatial analysis. Collaborate with cross-functional teams to enhance data-driven decision-making processes Your contributions will significantly impact the company strategic goals and societal advancements, Geospatial - geographic context Contact Person - Sheena Email id Rakesh sheena@gojobs.biz

Experience Range- 3 to 12 years Location- Gurgaon / Hyderabad/Bangalore Role- Data Scientist / Lead Data Scientist / Associate Director, Data Science Key Responsibilities: Define the AI roadmap, choose tooling, and establish best practices for model building, prompt engineering, and fine-tuning. Architect, develop, and deploy large-scale ML and GenAI-powered pipelines from ideation to production. Own the full data science project lifecycle, from opportunity identification and stakeholder partnership to model evaluation and communication of results. Mentor and guide junior data scientists while fostering a culture of continuous learning and innovation. Essential Qualifications: 3-12 years of relevant experience in Data Science or AI, with lead roles requiring at least 2 years in a technical leadership position. Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning, and embedding-based retrieval systems. Expert proficiency in Python and its core libraries, including NumPy, Pandas, scikit-learn, PyTorch/TensorFlow, and Hugging Face Transformers. Proven experience delivering at least one end-to-end GenAI or advanced NLP project (e.g., custom NER, Q&A systems, summarization) into production. Familiarity with deployment and orchestration tools such as Docker, Kubernetes, Airflow, and API frameworks (e.g., Flask, FastAPI). A Masters or Ph.D. in a relevant field like Computer Science or Statistics is preferred; a Bachelor's degree is the minimum requirement.

Experience Level: 15+ years Employment Type: Full-time About the Role: We are looking for an experienced and visionary AI/ML Architect to lead the design and deployment of advanced AI solutions, with a strong emphasis on Generative AI and Agentic AI systems. This role is ideal for someone who thrives at the intersection of strategy, architecture, and hands-on developmentespecially within the Microsoft ecosystem. Key Responsibilities: Architect and implement end-to-end AI/ML solutions using Microsoft Azure, including Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services Design Agentic AI systems using frameworks such as LangChain, Autogen, and LangGraph to enable autonomous multi-agent workflows Build Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search, Azure Cosmos DB, and pgvector for context-aware LLM applications Lead the fine-tuning, evaluation, and deployment of LLMs (GPT, Phi, Orca, etc.) using Azure ML, MLflow, and Hugging Face on Azure Implement LLMOps practices for model lifecycle management using GitHub Actions, Azure DevOps, and Terraform Collaborate with data engineers to build scalable data pipelines using Azure Data Factory, Synapse Analytics, and Databricks on Azure Integrate AI capabilities into enterprise applications via Power Platform, Microsoft Teams, and Dynamics 365 using Copilot Studio and AI Builder Ensure AI systems comply with GDPR, HIPAA, and Microsoft Responsible AI principles Communicate complex AI concepts to technical and non-technical stakeholders Mentor and guide technical teams on GenAI and Agentic AI best practices Required Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field 8+ years of experience in AI/ML solution architecture, with proven delivery of production-grade systems Deep expertise in machine learning, deep learning, NLP, and Generative AI Hands-on experience with LLMs (GPT, Phi, Orca, etc.) and agentic frameworks (LangChain, Autogen, LangGraph) Strong proficiency in Python and experience with PyTorch, TensorFlow, Keras, and DSPy Familiarity with Azure AI stack including Azure OpenAI, Azure ML, Azure AI Search, and Power Platform Experience with vector databases and RAG architectures Solid understanding of LLMOps, MLOps, and DevOps practices using Microsoft tools Excellent communication and leadership skills Preferred Qualifications: Experience with Copilot Studio, AI Builder, and Power Automate Familiarity with LangGraph, OpenAI Function Calling, and Toolformer-style architectures Exposure to multi-modal AI using Azure Cognitive Vision and Speech Services Contributions to open-source AI/ML projects or published research in GenAI Why Join Us: This is a unique opportunity to shape the future of autonomous intelligent systems within the Microsoft ecosystem. You’ll be at the forefront of innovation, building solutions that think, reason, and act—bringing the power of GenAI and Agentic AI to life across enterprise platforms. To Apply: Please submit your resume and portfolio of relevant AI/ML projects to [Insert Application Link or Email].

Role & responsibilities Experience on Agentic AI/ Frameworks Strong programming skills in languages such as Python, SQL/NoSQL etc. Build analytical approach based on business requirements, then develop, train, and deploy machine learning models and AI algorithms Exposure to GEN AI models such as OpenAI, Google Gemini, Runway ML etc. Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras. Knowledge of math, probability, and statistics. Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms. Exposure in developing API using Flask/Django. Good experience in cloud infrastructure such as AWS, Azure or GCP Exposure to Gen AI, Vector DB/Embeddings, LLM (Large language Model) Preferred candidate profile Must Know Skills : Python, Machine Learning, Fask/Fast API, SQL, OpenAI Models + Preferred Skills : Agentic AI Frameworks : LangChain, LangGraph / AutoGen, Embeddings, Vector DB, LLM with excellent communication skills.

Skill: Ai Engineer Experience: 5+ Years Location: Pan India (Except: Chennai) Notice Period: Immediate - 15 Days JOB SUMMARY: Experienced AI engineer who is hands on with building & deploying Gen AI & Agentic models, azure OpenAI service, data bricks, LLM evaluations and Machine learning with Python, Spark and SQL.

Job role - Prompt Engineer Experience - 2+ Location - Bangalore Notice period - Immediate Joiner • 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

Bain & Company is a global consultancy that helps the world's most ambitious change makers define the future. With offices in 65 locations across 40 countries, we collaborate closely with our clients to achieve extraordinary results, outperform the competition, and redefine industries. Since our establishment in 1973, we have measured our success by the success of our clients, maintaining the highest level of client advocacy in the industry. In 2004, Bain & Company established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi, now known as BCN (Bain Capability Network). BCN is an integral unit of (ECD) Expert Client Delivery, supporting Bain's case teams globally with analytics, research solutioning, and more. The BCN comprises Consulting Services, Knowledge Services, and Shared Services. The BCN Academy is a center of excellence dedicated to conceptualizing, designing, and delivering top-notch learning & development initiatives for BCN. We are seeking individuals passionate about enhancing learning experiences and eager to contribute to a start-up journey with a significant impact. The Learning & Development (L&D) team is in search of a highly organized and detail-oriented Assistant to facilitate the smooth delivery of learning programs. This role is hands-on and execution-driven, focusing on logistics, scheduling, and vendor management. It offers a great opportunity for individuals looking to gain experience in L&D while enhancing operational and coordination skills. Candidates who can join us soon are encouraged to apply. Requirements: - Bachelor's degree in any stream - 1-2 years of working experience in the L&D space - Ability to manage end-to-end logistics of events with excellent planning and organizational skills - Proficiency in Excel, PowerPoint, and ability to handle MIS, analysis, dashboards, and reporting - Strong attention to detail and multitasking abilities - Excellent written and verbal communication skills - Effective liaison with multiple stakeholders and good interpersonal skills - Openness, flexibility, and willingness to travel as required - Understanding and basic usage of Open AI/ChatGPT Responsibilities: - Coordinate travel & logistics, participant and facilitator coordination for BCN Academy events - Support virtual and in-person sessions setup and delivery, including pre-session checks and technical troubleshooting - Track enrollments, attendance, and completions to ensure smooth program flow - Act as the primary contact for program participants, addressing queries, sharing pre-reads, reminders, and follow-ups - Assist facilitators and trainers with materials, set-up, and last-minute requirements - Gather and organize feedback from participants post-program - Provide onsite training management support when necessary - Maintain and update program trackers and calendars - Support internal process development and other priorities for BCN Academy - Organize L&D records and reports including attendance, feedback summaries, and invoices Bain & Company is committed to diversity, inclusion, and collaboration as the foundation for building extraordinary teams. We believe in hiring individuals with exceptional talents and creating an environment where they can thrive both professionally and personally. Our commitment to diversity and inclusion is recognized by various external parties, making us one of the world's best places to work.,

Job Title: Senior Data Scientist / Senior Gen AI Developer Location: PAN India Years of Experience: 4-10 years (Experience: 4- 10 years with at least 3-5 project lifecycle experience in data science.) with Bachelor/Master in Statistics/Economics, BE/BTech/MTech with above experience . Position Overview: This role requires a strong expertise in AI/ML with a focus on Generative AI, combined with business acumen to drive client transformation. In this role, you will be responsible for the design, development, and optimization of AI/ML & generative AI models, with a focus on leveraging Python for algorithm development, model implementation, and deployment. Key Responsibilities: Solution Development: Design and implement AI & Gen AI powered solutions using LLMs (eg. Open AI, Claude, Gemini, Llama3). Fine-tune AI/generative AI models using Python and machine learning libraries. Leverage Agentic AI frameworks such as CrewAI, AutoGen, and orchestrate interactions across vector DBs, RAG pipelines & APIs. Should have experience in developing different ML models for Regression / Classification, Clustering, and Time Series forecasting models as well. Data Processing: Manage and preprocess large datasets for training AI/ML models, ensuring clean, efficient data pipelines for optimal performance. Model Evaluation: Evaluate and iterate on model performance, applying techniques to improve accuracy, robustness, and efficiency. Collaboration: Work closely with other developers, data scientists, and product managers to define AI requirements, integrate models into products, and ensure the AI system meets business needs .Optimization: Optimize model performance for production environments, focusing on scalability and computational efficiency. Thought leadership: Stay updated with the latest trends in generative AI, contributing innovative ideas and applying cutting-edge research to development effo rts. Required skills & experience: Experience: 5+ years of professional experience with a focus on machine learning, deep learning, and 2+ years in generative AI applications. Python Expertise: Advanced proficiency in Python, with solid experience using machine learning and deep learning libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn, Pandas. Generative AI experience: Hands-on experience with tools/platforms like Open AI, LangChain, Hugging Face, Vertex AI, AWS Bedrock etc. and frameworks such as LangGraph, CrewAI, Autogen Data Handling: Experience working with large datasets, including preprocessing, cleaning, and augmenting data for AI model training. Model Deployment: Knowledge of deploying machine learning models into production environments, including familiarity with cloud services (AWS, GCP, Azure) and containerization tools (e.g., Docker). ML Algorithms & Statistics: Strong understanding of machine learning algorithms, statistics, and optimization techniques used in AI. Version Control: Proficiency in using version control systems such as Git for managing codebase and collaboration. Problem Solving: Strong analytical skills with the ability to tackle complex problems and devise efficient solutions in a fast-paced environment. Communication: Ability to clearly communicate technical concepts to both technical and non-technical stakeholders. Project experience in Python, PySpark ,SQL Familiarity with model interpretability and debugging tools. Familiarity with reinforcement learning and its applications to generative models. Experience working in Agile/Scrum environments. Experience with data visualisation tools, such as D3.js, GGplot, etc. Experience in other Visualization tools like Power BI, Tableau, Qlikview shall be added advantage. Show more Show less

Developing automation solutions for web scraping,PDF parsing & OCR Building data flows using GenAI tools Working with frameworks like Django/Flask/FastAPI Integrating with MCP servers,APIs & cloud services(AWS)

Data pipelines and infrastructure for AI and analytics using cloud-native tools. Design and implement production-ready GenAI applications using services like Amazon Bedrock, Azure Mandatory Skills: Cloud Computing, Artificial Intelligence , Python

Role & responsibilities Lead and contribute to end-to-end Generative AI projects, from problem formulation to scalable solution deployment. Prior experience in areas of predictive modelling, classification, and generative capabilities Hands-on experience in machine learning, NLP, and transformer-based models, with a strong focus on Generative AI. Prior experience of having used NLP for text generation, summarization, sentiment analysis, named entity recognition, language translation, etc Prior experience in prompt engineering, design and implementation of RAG pipelines, including integrating LLMs with vector databases (e.g. Pinecone, Weaviate, FAISS or ChromaDB). Prior experience in Azure OpenAI services to design, fine-tune, and deploy state-of-the-art AI models in cloud-based environments Strong programming skills in Python for model development, data processing, and scripting. Proficiency in working with machine learning frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, spaCy, NLTK, etc Good understanding of statistical concepts, feature engineering, and advanced data analysis techniques. Work with open-source generative AI models such as LLaMA, DeepSeek, and Hugging Face Transformers, etc

Job Title: Data Scientist ML, GenAI & Agentic AI Position Summary We are seeking a Data Scientist with a strong background in enterprise-scale machine learning , deep expertise in LLMs and Generative AI , and a clear understanding of the evolving Agentic AI ecosystem . The ideal candidate has hands-on experience developing predictive models, recommendation systems, and LLM-powered solutions, and is passionate about leveraging cutting-edge AI to solve complex enterprise challenges. This role will involve working closely with product, engineering, and business teams to design, build, and deploy impactful AI solutions that are both technically robust and business-aligned. Key Responsibilities ML & Predictive Systems Development Design, develop, and deploy enterprise-grade machine learning models for recommendations, predictions, and personalization use cases. Work on problems such as churn prediction, intelligent routing, anomaly detection, and behavior modeling. Leverage techniques in supervised, unsupervised, and reinforcement learning as needed based on business context. LLMs & Generative AI Build and fine-tune LLM-based solutions (e.g., GPT, LLaMA, Claude, or open-source models) for tasks such as summarization, semantic search, document understanding, and copilots. Deliver production-ready GenAI projects , applying techniques like RAG (Retrieval-Augmented Generation), prompt engineering, fine-tuning, and vector search (e.g., FAISS, Pinecone, Weaviate). Collaborate with engineering to embed LLM workflows into enterprise applications, ensuring scalability and performance. Agentic AI & Ecosystem Engagement Contribute thought leadership and experimentation around Agentic AI architectures , task orchestration, memory management, tool integration, and decision autonomy. Stay ahead of trends in the open-source and commercial LLM/AI space, including LangChain, AutoGen, DSPy, and ADK-based systems. Develop internal PoCs or evaluate frameworks to assess viability for enterprise use. Collaboration & Delivery Work with cross-functional teams to identify AI opportunities and define technical roadmaps. Translate business needs into data science problems, define success metrics, and communicate results to stakeholders. Ensure model governance, monitoring, and explainability for AI systems in production. Required Qualifications Master’s or PhD in Computer Science, Data Science, Statistics, or related field. 5–8 years of experience in data science and ML, with strong enterprise project delivery experience. Proven success in building and deploying ML models and recommendation systems at scale. 2+ projects delivered involving LLMs and Generative AI , with hands-on experience in one or more of: OpenAI, Hugging Face Transformers, LangChain, Vector DBs, or model fine-tuning. Advanced Python programming skills and experience with ML libraries (e.g., Scikit-learn, XGBoost, PyTorch, TensorFlow). Experience with cloud-based ML/AI platforms (e.g., Vertex AI, AWS SageMaker, Azure ML). Strong understanding of system architecture, APIs, data pipelines, and model integration patterns. Preferred Qualifications Experience with Agentic AI frameworks and orchestration systems (LangChain, AutoGen, ADK, CrewAI). Familiarity with prompt optimization, tool chaining, task planning, and autonomous agents. Working knowledge of MLOps best practices including model versioning, CI/CD for ML, and model monitoring. Strong communication skills and ability to advocate for AI-driven solutions across technical and non-technical teams. Regular follower of AI research, open-source trends, and GenAI product developments.

Overview: TresVista is looking to hire an Associate in its Data Intelligence Group team. This role is perfect for a candidate eager to learn and adapt to the evolving landscape of AI-powered financial solutions. You'll work on the development and deployment of cutting-edge technology that combines Large Language Models (LLMs), Agents, Knowledge Graph, and vector search in Cloud environment to revolutionize how we analyze investments, process due diligence documents, and extract insights from complex financial data. Roles and Responsibilities: Design, develop, test, and maintain the software components and ML pipelines Implement core components including memory, routing, cache, feedback, and chains to enable our in-house AI agents Collaborate cross-functionally with business, front-end, back-end and data teams [LangChain/LangGraph] Build sophisticated multi-agent AI workflows for automated investment analysis [LLM] Prompt engineering techniques for various LLM providers including Anthropic Claude, Google Gemini, and Open AI [Backend/FastAPI] Build scalable systems that can handle large-scale document processing during due diligence [Backend/FastAPI] Develop FastAPI applications that serve AI-powered insights to investment teams [Backend/FastAPI] Implement secure authentication and data access controls for sensitive financial information [Cloud/GCP] Experience in Redis for caching and coordination (Nice to have) Familiarity with Pinecone vector search and Neo4j Knowledge Graph database Prerequisites Bachelors degree in computer science, Engineering and above Strong programming fundamentals in Python 2-5 years of professional experience in software engineering or equivalent internship / coursework / projects involving data analysis, machine learning, or software development Genuine curiosity about AI technology and its applications in finance Strong critical thinking and problem-solving skills Eagerness to learn new technologies and adapt to rapidly evolving tools Excellent communication skills for collaborating with investment professionals Detail-oriented approach to handling sensitive financial data Experience 2-5 years Education BTech/MTech/BE/ME/MBA in Analytics Compensation The compensation structure will be as per industry standard

Preferred candidate profile Notice period: Immediate to 15Days or serving notice period Location: Only Hyderabad locality Exp: 4-6Years Role & responsibilities Qualifications: Must Have 3+ years of hand-on experience with .Net Web API development. 3+ years of experience with .Net Core development 3+ year of experience with Azure cloud development. Strong hands-on exposure to various Azure services 2+ Years of Angular/React web-UI development experience. 2+ years of hands-on experience with JavaScript, HTML, and CSS Good to Have Knowledge of Generative AI Experience: 4-6 years Work location: Hyderabad Shift Timings: 11 AM to 8 PM Roles and Responsibilities: Develop and maintain high-quality, responsive user interfaces for web applications. Develop Scalable and Robust backend APIs aligned with business requirements. Collaborate with designers, product managers, and backend developers to implement and improve UI/UX designs. Conduct code reviews, provide feedback, and mentor junior developers as needed. Should be self-driven individual and always look for future opportunities. Ensuring delivery of work with minimal errors, within agreed time frame. Ensures Stakeholder satisfaction. Demonstrates good communication skills. Generates innovative ideas. Operates effectively in a fast-changing environment. Embraces change. Takes a broad approach to problem solving and decision making by analyzing, thinking ahead and planning. Acts with sense of urgency, practicality, and integrity. Demonstrates ability to make decisions. Contributes to and participates in decision making and creates a participative decision-making environment. Seeks understanding of impacts and monitor and reviews these on an ongoing basis. Holds accountable for ensuring that results are achieved. Demonstrates a strong orientation towards achievement. Provides input to decision making processes. Demonstrates an understanding and appreciation of the cultural diversity present in the global business environment.

Position Summary: The AWS Engineer is responsible for end-to-end deployment, configuration, and reliability of AWS-based product demo environments, integrating GenAI pipelines and engineering practices. The role demands deep cloud infrastructure skills (ECS, Lambda, RDS, S3), automation (Terraform). This role is strictly involved in the development of the product and does not involve access to Protected Health Information (PHI) & Personally Identifiable Information (PII) or any secured/confidential client data. The work is limited to application development and does not include handling or processing of sensitive health information. Key Responsibilities: Architect, provision, and maintain AWS demo environments leveraging services such as EC2, ECS/Fargate, Lambda, S3, RDS, DynamoDB, IAM, KMS, API Gateway, CloudWatch, and AWS Glue. Build and maintain Terraform modules to automate environment provisioning, resets, and decommissioning. Integrate AWS GenAI solutions (Bedrock, SageMaker) for scenario automation, and real-time demo enrichment. Collaborate with Demo COE and Product SMEs to evaluate scenarios and implement custom flows. Implement RBAC, feature flag toggling, and configuration management via AWS Systems Manager and AppConfig. Ensure environmental health with automated monitoring, alerting, and load testing (CloudWatch, AWS Load Balancer, X-Ray). Support automated QA gates, metrics capture, and post-demo knowledge management. Provide secondary support for cloud engineering (AWS Glue, Redshift, Athena) for ingesting, transforming Contribute to hybrid cloud demos and integrations with Azure as needed. Qualifications: Minimum 5 years AWS engineering experience, with strong C# or Java or Python development. Terraform expertise for AWS IaC. Experience with GenAI or ML services (Bedrock, SageMaker, Lambda). Professional certification in AWS is preferred

Role & responsibilities GenAI , OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc.

We are seeking a highly skilled Cloud Solutions Architect with expertise in, Azure, to support American Express in designing, developing, and deploying cloud solutions. The ideal candidate will work on cloud security, automation, and data analytics, ensuring scalable and secure solutions aligned with business objectives. Key Responsibilities: • Integrate General or AI solutions with Azure or AWS Cloud platforms. • Ensure data security, IAM, and compliance with industry standards (PCI DSS, GDPR, SOC 2). • Ensuring security through IAM and encryption, and collaborating with teams to integrate applications and troubleshoot issues.

Role & responsibilities Detailed Job description: Software Engineer - AI Solutions | Full-Time| Responsibilities Design and implement AI-powered features using LLMs and other machine learning models Develop proof-of-concepts and MVPs to demonstrate AI capabilities to stakeholders Optimize LLM performance including prompt engineering, response latency, and cost efficiency Design and maintain agent-oriented LLM pipelines that autonomously plan, reason, and invoke external tools to complete end-to-end business tasks Implement evaluation frameworks and monitoring systems for deployed AI solutions Collaborate with Product Managers to translate client requirements into technical specifications Ensure code quality, security, and scalability in production environments Document technical implementations and create deployment guides for client teams Minimum qualifications Bachelor's degree in Computer Science or equivalent practical experience 3+ years of software engineering experience Strong proficiency in Python and modern web frameworks (FastAPI, Flask, Django) Experience with REST APIs and microservices architecture Understanding of cloud platforms (AWS, Azure, or GCP) Excellent problem-solving and debugging skills Preferred qualifications Experience integrating LLM APIs (OpenAI, Anthropic, Google Vertex AI) Hands-on experience developing and deploying agentic or multi-agent LLM architectures in real-world workstreams Familiarity with vector databases (Pinecone, Weaviate, ChromaDB) Knowledge of prompt engineering and LLM fine-tuning techniques Experience with containerization (Docker, Kubernetes) Background in client-facing or professional services roles Understanding of ML model deployment and monitoring Preferred candidate profile Interested candidates can apply to kinnera259@gmail.com Reagrds, HR Manager

Urgent Opening for one of the Service Based MNC - Saturday Virtual Interview ---On Spot Offer with one of the Well Renowned MNC !!!!! Interested Candidates Please Appy on priya.singhal@thehrsolutions.in / deepaksharma@thehrsolutions.in Exp Range- 6 to 12Years Locations- PAN India JD - GenAI Engineer/Developer Role Overview: We are seeking a skilled Gen AI / OpenAI Developer to join our dynamic team. The ideal candidate will have a robust understanding of AI and machine learning, with particular expertise in integrating OpenAI models with Microsoft's Power Platform (including Power Automate and Power Virtual Agents), Azure Cognitive Services, and agentic AI frameworks. This role also requires experience in Azure deployment of AI solutions and modern Autogen-based architectures for building intelligent multi-agent systems. Key Responsibilities: Design, develop, and optimize OpenAI-powered applications, including multi-agent frameworks, chatbots, and AI-based customer support systems. Leverage agentic technologies (e.g., Autogen framework) to implement AI agents capable of collaborating and completing complex tasks autonomously. Build and maintain backend services using Python support OpenAI integrations. Work with custom datasets, applying techniques such as chunking, embedding, and vector search for model fine-tuning and retrieval-augmented generation (RAG). Integrate Azure Cognitive Services (e.g., Text Analytics, Translator, Form Recognizer) to enhance functionality and intelligence of AI solutions. Ensure scalable and secure deployment of AI solutions on Azure, using services like Azure Functions, Azure App Service, and Azure Kubernetes Service (AKS). Regularly evaluate and fine-tune GPT models to ensure high performance and relevance. Collaborate with cross-functional teams, including product, design, and QA, to ensure seamless development and deployment pipelines. Stay up to date with advancements in OpenAI, Azure AI, and agent-based technologies, and proactively contribute innovative ideas. Required Skills and Experience: Bachelor's degree in Computer Science, Engineering, or related field. Proficient in Python or .NET for backend and AI integration development. Strong experience with OpenAI GPT models and their practical applications. Experience with agentic technologies (e.g., Autogen, LangGraph, CrewAI) for multi-agent systems. Familiarity with Microsoft Azure Cognitive Services and Azure AI Studio. Solid grasp of machine learning fundamentals, including training, fine-tuning, and evaluating language models. Practical knowledge of Natural Language Processing (NLP) techniques. Hands-on experience with CI/CD tools such as Google Cloud Build, Jenkins, GitHub Actions, or Azure DevOps. Ability to work collaboratively in an agile, team-oriented environment under tight deadlines. Excellent problem-solving, debugging, and analytical skills. Desirable Skills: Masters degree or higher in AI, ML, or a related technical field. Prior experience in chatbot development for customer service or enterprise use cases. Certification(s) in Microsoft Azure, OpenAI, or machine learning technologies. Experience deploying and managing OpenAI solutions in Azure environments. Familiarity with RAG architectures, Azure AI Search, and blob storage indexing. Knowledge of Copilot Studio, Power Platform AI builder, or Conversational AI tools.

Key Responsibilities: Design, architect, and implement solutions using Microsoft Power Platform (Power Automate, Power Apps, Dataverse, and SharePoint), Custom Co-pilot, Azure Open AI, Open AI, and AI Builder. Play a crucial role in architecting and implementing large solutions using Power Platform Develop and communicate a clear architectural vision for Power Platform solutions aligned with business goals. Lead architecture initiatives from inception to completion Provide leadership in designing scalable, secure, and maintainable Power Automate Platform solutions. Collaborate with business users to create architecture in alignment with business needs. Act as a technical subject matter expert for business users. Produce documentation to aid in the understanding of existing architecture solutions Lead projects involving Generative AI with a focus on managing large volumes of documents. Collaborate with stakeholders to. understand business needs and translate them into technical requirements and solutions. Provide technical leadership and mentorship to junior team members. Integrate Power Platform solutions with Azure services and other third-party systems. Conduct code reviews, testing, and troubleshooting to ensure high-quality deliverables. Preferred Qualifications: Bachelor's degree in Computer Science, Engineering, or Mathematics. 7+ years of relevant experience. Advanced knowledge of leading architecture solutions in the industry area. Strong interpersonal and collaboration skills. Ability to demonstrate technical concepts to non-technical audiences.

Full-Stack Web Development 1. Core Technologies: JavaScript/TypeScript - Advanced proficiency with ES6+, async/await patterns Node.js - Server-side development, API design, microservices architecture React/Vue.js - Modern component-based frontend development with hooks, state management HTML5/CSS3 - Semantic markup, responsive design, CSS Grid/Flexbox Web Server Management - Nginx configuration, reverse proxy setup, SSL/TLS Enterprise Requirements: Experience with enterprise-scale applications Microservices architecture GraphQL implementation and schema design 2. AWS Serverless Architecture (Must-Have) Core AWS Services: AWS Lambda - Function design, cold start optimization, event-driven architecture API Gateway - REST/GraphQL APIs, request validation, throttling S3 - Object storage, static hosting, data lakes, event triggers DynamoDB - NoSQL design patterns, GSI/LSI optimization CloudFormation/CDK - Infrastructure as Code Advanced AWS: Amazon Bedrock - LLM integration, model selection, prompt optimization (Highly Preferred) EventBridge - Event-driven workflows, service decoupling Step Functions - Complex workflow orchestration CloudWatch - Monitoring, alerting, custom metrics VPC/Security Groups - Network security, service isolation 3. AI/ML & LLM Integration (Critical) LLM Platforms: OpenAI API - GPT models, function calling, structured outputs Anthropic Claude - API integration, prompt engineering best practices Amazon Bedrock - Multi-model integration, guardrails implementation AI/ML Concepts: Prompt Engineering - Chain-of-thought, few-shot learning, prompt optimization Context Management - Token optimization, conversation state, memory systems Vector Databases - Embedding generation, semantic search, RAG implementation Agent Frameworks - Multi-agent systems, tool integration, workflow orchestration RAG Systems - Retrieval-augmented generation, knowledge base integration Bonus Skills: Fine-tuning - Model customization, training pipeline management MLOps - Model deployment, monitoring, A/B testing 4. Enterprise Integration & Data Database Technologies: SQL - PostgreSQL, MySQL, complex queries, performance optimization NoSQL - MongoDB, DynamoDB, data modeling, scaling patterns Vector Databases - Pinecone, Weaviate, Milvus for AI applications Redis - Caching strategies, session management, pub/sub patterns Integration Patterns: REST/GraphQL APIs - Design, versioning, documentation (OpenAPI/Swagger) Message Queues - SQS, SNS, RabbitMQ for asynchronous processing Event Streaming - Apache Kafka, real-time data processing ETL/ELT - Data pipeline design, transformation logic Preferred Experience: Enterprise AI development and deployment Large-scale system architecture Multi-tenant SaaS applications with enterprise security Real-time AI applications with sub-second response requirements Regulatory compliance experience (SOX, GDPR, SOC2) What You'll Build: AI-powered enterprise applications serving thousands of users Serverless microservices with event-driven architecture Intelligent automation systems integrating LLMs with business processes Developer platforms enabling AI adoption across the organization

For more than 40 years, Accelya has been your partner for change, simplifying airline financial and commercial processes and empowering the air transport community to take better control of the future. Whether we are partnering with IATA on industry-wide initiatives or enabling digital transformation to simplify airline processes, we drive the airline industry forward and proudly put control back in the hands of airlines so they can move further, faster. As a Senior Engineer - Software Development at Accelya, your primary responsibility will be to develop new products by designing, developing, deploying, and maintaining software necessary to meet our business objectives. We focus on developing internal products related to a broad spectrum of process automation and Generative AI. Your duties and responsibilities will include translating processes and enhancement specifications into programs, developing error-free code within agreed timescales using development techniques and tools to optimize operational efficiency, evaluating changes and performing impact analysis, establishing and maintaining DevOps practices and automation for continuous integration (CI) and continuous delivery (CD), working with functional staff to establish and clarify requirements, taking ownership of the test and implementation phases of projects, and influencing, challenging, and defending technology decisions rather than just executing static requirements. To be successful in this role, you should have proven experience in software development with proficiency in Python and Java, exposure to DevOps and automated software deployment practices (such as Gitlab CI), familiarity with AWS cloud is advantageous, exposure to LLM (open AI/Bedrock) or predictive models is a plus, strong problem-solving and analytical skills, good questioning skills and the ability to explain/challenge technical information clearly, good team-working and interpersonal skills, self-motivation, and a Bachelor's Degree in software engineering. What does the future of the air transport industry look like to you Whether you're an industry veteran or someone with experience from other industries, at Accelya, we aim to make your ambitions a reality!,

We are looking for an Full Stack AI & Agentic Developer to join our product team. This role is for someone who has worked with AI tools, LLMs (like ChatGPT, Claude), and agent frameworks (LangChain, CrewAI, AutoGen).If you love building smart AI systems and applications that can work on their own, integrate with APIs, and solve real problems is the right role for you. Responsibilities: Build and integrate AI-powered applications using LLMs and AI APIs (OpenAI, Claude, Hugging Face). Create and manage AI agents using tools like LangChain, CrewAI, and AutoGen. Use prompt engineering to improve AI results and user experience. Work with vector databases (Pinecone, FAISS, Chroma) for AI search and knowledge retrieval. Collaborate with developers, designers, and researchers to build smart solutions. Deploy applications using Docker, Kubernetes, Vercel, Railway, and Supabase . Ensure applications run smoothly, are scalable, and perform well. Required Skills: 45 years of experience in AI/ML or Full Stack Development with AI integration . Strong knowledge of Python, JavaScript, React.js, Next.js, Node.js, and TypeScript . Experience with AI APIs (OpenAI, Claude, Hugging Face). Hands-on with LangChain, AutoGen, CrewAI, and similar frameworks. Understanding of prompt engineering and AI search (vector databases) . Knowledge of PostgreSQL, Supabase, Railway, Vercel . Comfortable using AI coding assistants like GitHub Copilot, Cursor, Tabnine . Good problem-solving, teamwork, and communication skills. Tech Stack Youll Use: Frontend: React, Next.js Backend: Node.js, Python Database: PostgreSQL, Supabase AI Tools: OpenAI, Claude, LangChain, CrewAI, AutoGen Vector DBs: Pinecone, FAISS, Chroma Deployment Tools: Docker, Kubernetes, Vercel, Railway, n8n Dev Tools: GitHub, Copilot, Cursor, Tabnine Why Join Us? Work on real AI innovation with the latest tools. Be part of a fast-growing and creative team . Build applications that make an impact. Grow your skills in the exciting world of AI .