6 Artificial intelligence Jobs nearby Nagpur

As a Supply Chain Consultant at Scott Sheldon India Pvt. Ltd., a branch office of Scott Sheldon LLC, Ohio, you will play a crucial role in understanding client requirements, mapping them with Kinaxis RapidResponse, and optimizing supply chain processes. You will have the opportunity to work with industry-leading supply chain management software, gaining hands-on experience with real-world supply chain challenges and solutions. Here is a breakdown of your responsibilities and qualifications: **Role Overview:** You will be responsible for engaging with clients to comprehend their supply chain requirements, mapping them with Kinaxis RapidResponse, configuring and implementing solutions, analyzing supply chain data, and collaborating with senior consultants for successful project delivery. **Key Responsibilities:** - Engage with clients to understand supply chain requirements and challenges. - Map client requirements to Kinaxis RapidResponse solutions. - Configure and implement Kinaxis RapidResponse to meet client needs. - Analyze supply chain data for actionable insights. - Work with system algorithms to optimize supply chain processes. - Collaborate with senior consultants and project managers for successful implementations. - Provide ongoing support and training to ensure client adoption. **Qualifications:** - Bachelor's degree in Supply Chain Management, Mechanical Engineering, or Artificial Intelligence. - Strong analytical and problem-solving skills. - Basic understanding of supply chain principles and practices. - Familiarity with data analysis and system algorithms. - Excellent communication and interpersonal skills. - Ability to work collaboratively in a team environment. - Eagerness to learn and adapt to new technologies and methodologies. **Preferred Qualifications:** - Internship or project experience in supply chain management, Mechanical & AI. - Basic knowledge of Kinaxis RapidResponse or other supply chain management software. - Proficiency in data analysis tools such as Excel, SQL, or similar. Join Scott Sheldon and be part of a team dedicated to revolutionizing supply chain management!,

As a candidate for this role, you should have 1 year of work experience dealing with large volumes of data, especially in the healthcare sector. Key Responsibilities: - Love data. You must have a deep passion for working with data, making sure that every aspect is quantified and driven by data. - Possess a strong understanding of Python and Image processing, along with hands-on experience in software development across all stages, from development to production. - Excel in data visualization and presentation techniques. - Demonstrate a solid foundation in statistical concepts and various machine learning models. Qualifications Required: - Completion of formal education in relevant fields such as statistics, computer science, or applied mathematics.,

Role Overview: You will join an exciting new research centre in the Department of Computer Science at the University of York. The Centre for Assuring Autonomy (CfAA) is actively shaping standards, policy, and industrial practice in safety-critical sectors related to autonomous systems and their machine learning components. As part of the CfAA, you will work with a world-leading team of researchers to develop innovative approaches to safety assurance for AI-based autonomous systems. Key Responsibilities: - Enable the safe and responsible uptake of robotics and autonomous systems in sectors like autonomous driving, maritime, and healthcare - Develop methods for creating through-life safety assurance arguments for AI-based autonomous systems - Apply these methods in an industrial context and validate innovative approaches on real autonomous robotic systems - Work closely with experienced engineers and researchers to explain your research clearly to diverse audiences Qualifications Required: - Must have a first degree in Computer Science or a related discipline and a PhD in computer science, autonomous systems, or equivalent experience - Knowledge of systems safety engineering, robotics, autonomous systems, artificial intelligence, or related fields - Experience in developing machine learning models for embedded systems is desirable - Demonstrated experience in high-quality research is essential - For Grade 7, proven ability to attract research funding and manage research projects, including supervising the work of others [Note: No additional details of the company were present in the provided Job Description] Role Overview: You will join an exciting new research centre in the Department of Computer Science at the University of York. The Centre for Assuring Autonomy (CfAA) is actively shaping standards, policy, and industrial practice in safety-critical sectors related to autonomous systems and their machine learning components. As part of the CfAA, you will work with a world-leading team of researchers to develop innovative approaches to safety assurance for AI-based autonomous systems. Key Responsibilities: - Enable the safe and responsible uptake of robotics and autonomous systems in sectors like autonomous driving, maritime, and healthcare - Develop methods for creating through-life safety assurance arguments for AI-based autonomous systems - Apply these methods in an industrial context and validate innovative approaches on real autonomous robotic systems - Work closely with experienced engineers and researchers to explain your research clearly to diverse audiences Qualifications Required: - Must have a first degree in Computer Science or a related discipline and a PhD in computer science, autonomous systems, or equivalent experience - Knowledge of systems safety engineering, robotics, autonomous systems, artificial intelligence, or related fields - Experience in developing machine learning models for embedded systems is desirable - Demonstrated experience in high-quality research is essential - For Grade 7, proven ability to attract research funding and manage research projects, including supervising the work of others [Note: No additional details of the company were present in the provided Job Description]

Role Overview: The Department of Computer Science at the University of York, a top 10 UK computer science department, is looking for a skilled individual to join their team. As a postholder, you will be working in the field of Artificial Intelligence with a focus on LLM-based research. You will have the opportunity to lead research projects, develop new research approaches, and design modules for undergraduate and postgraduate students in the area of Artificial Intelligence and Data Analysis. Key Responsibilities: - Produce new research approaches and use appropriate research methodologies - Lead research projects with support from the research teams - Design, develop, and deliver modules for students - Supervise undergraduate and postgraduate students and research staff - Focus on Artificial Intelligence and Data Analysis Qualifications Required: - PhD in Computer Science or equivalent experience - Appropriate academic professional and teaching qualifications or willingness to complete the Postgraduate Certificate in Academic Practice - Well-established national reputation in Artificial Intelligence with a track record in LLM-based research - Specific knowledge of Artificial Intelligence and Data Analysis Note: The University of York promotes diversity and inclusivity, encouraging applications from individuals of Black, Asian, Minority Ethnic backgrounds, and women for senior roles. Family-friendly, flexible working arrangements are offered to support staff.,

As a Business Executive at Primine Software Private Limited located on-site in Nagpur, your main responsibility will be managing client relationships, developing business strategies, and promoting IT consulting and Enterprise Solutions. You will collaborate with different teams to drive innovation and problem-solving for clients. Key Responsibilities - Manage client relationships effectively - Develop and implement business strategies - Promote IT consulting and Enterprise Solutions - Collaborate with various teams for innovation and problem-solving Qualifications - Business Development and Sales experience - Knowledge of IT consulting and Enterprise Solutions - Strong communication and interpersonal skills - Experience in developing business strategies - Ability to work in a fast-paced environment - Understanding of Artificial Intelligence, Machine Learning, and Cloud Services - Bachelor's degree in Business Administration or related field - Experience in the IT industry is a plus,

As an AI/ML Developer at our company, you will have the exciting opportunity to work on impactful projects involving cutting-edge artificial intelligence and machine learning technologies. You will collaborate with a team of experts in a dynamic, fast-paced environment to design, develop, and deploy intelligent systems. **Key Responsibilities:** - Develop AI/ML applications based on project requirements and business goals. - Research and implement machine learning algorithms, extend existing libraries/frameworks as necessary. - Train ML models, fine-tune on custom data, and work on functional design, process, prototyping, and testing of AI/ML solutions. - Take ownership, drive results in an agile environment, and collaborate effectively with the team. **Skills:** - Experience with deep learning in NLP, Speech, or Computer Vision. - Proficiency in ML frameworks like PyTorch or Tensorflow and developing/fine-tuning Large Language Models. - Strong coding skills in Python following best practices. - Proficient in REST API development, high-performance implementations, and cloud ecosystems (AWS/Azure/GCP). - Knowledge of basic algorithms, object-oriented design principles, data structures, data modeling, DB schema design, coding standards, and git workflows. - Excellent communication skills and the ability to work across teams with strong analytical and problem-solving capabilities. **Qualifications:** - Completed a graduate degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. - Solid understanding of machine learning fundamentals and algorithms. - Proficiency in programming languages such as Python. - Ability to work independently and collaborate effectively in a team environment. In addition to the above details, the job requires you to have your own Laptop. You should have 2 years of experience as an AI/ML Developer. The work location is in Nagpur, Maharashtra, and it is a full-time position.,

F2F Interview | Urgent Hiring | Gen AI/AIML   Exp- 5 To 15 years Location- PAN India   Please fill the below given form.   https://forms.office.com/e/iEEiP74x4c   Job Description:-   - Experience with AI and Machine Learning algorithms. - Familiarity with AI platforms and understanding of their capabilities and limitations. - -Experience with Natural Language Processing (NLP) - mandatory - Understanding of RAG, neural networks, and other AI/ML concepts. - Ability to design and implement AI models. - Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.   Thanks Team HR

Role : Lead Artificial Intelligence Engineer - Generative AILocation : Baner, Pune (Hybrid)Shift : 2 : 00 PM  to 11 : 00 PM ISTNotice Period : Immediate 15 DaysExperience : 5+ YearsAbout the RoleWe are looking for a Lead Artificial Intelligence Engineer to drive the design and deployment of Generative AI and LLM-powered solutions. The role involves leading a team of AI Engineers and Data Scientists, building production-grade AI systems, and delivering real-world business impact through advanced machine learning and natural language technologies.Key Responsibilities : - Lead and mentor a team of AI Engineers and Data Scientists, fostering innovation and technical excellence. - Architect, design, and deploy Generative AI and LLM-based applications. - Take end-to-end ownership of AI initiatives, from research and architecture to deployment and monitoring. - Build scalable ML pipelines and production workflows aligned with MLOps best practices. - Collaborate with product, engineering, and business teams to align AI strategy with organizational goals. - Define system architecture integrating AI solutions with cloud and enterprise platforms. - Ensure high standards of code quality, documentation, and reproducibility. - Drive continuous learning and knowledge sharing within the team.Required Qualifications : - Bachelors/Masters in Computer Science, Data Science, AI, or related field. - 5+ years of hands-on experience in AI/ML, with proven deployment of production systems. - Strong expertise in Python (NumPy, Pandas, Scikit-learn) and ML frameworks (PyTorch, TensorFlow). - Deep knowledge of NLP, LLMs, and Generative AI. - Experience with web frameworks (Flask, FastAPI, Django). - Cloud expertise (AWS, GCP, or Azure) with hands-on deployment experience. - Familiarity with SQL/NoSQL, Git, CI/CD, and containerization (Docker). - Strong understanding of software engineering principles and MLOps practices. Preferred Qualifications : - Exposure to Big Data tools (Apache Spark, Kafka, Kinesis). - Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML). - Understanding of data visualization tools (Tableau, Power BI).

Designation: AM / MT Data Science (Data Analyst) Location: Mumbai  Work Experience: 0.6 months to 3 years Qualification: Bachelors or Masters degree in Engineering,Statistics, Mathematics, Computer Science or related fields roles and responsibilities Data Analysis & Exploration: Analyse structured and unstructured data to identify trends, patterns and actionable insights Perform data profiling, cleaning and transformation Assist in developing dashboards, visual stories using tools like TableauModel development support: Collaborate with Data scientist in Feature engineering, data cleanup / transformation and modelevaluation Support testing and validation of ML/AI models using Python Help interpret model output and translate results for businessBusiness Understanding and Insights: Participate in discussions with business to understand business problems Document, track and report the progress Help in defining the metrics and evaluating impact of AI/ML models post deploymentAI initiatives (not mandatory) Support GenAI workflows (Prompt engineering, annotation, evaluation) Assist in model testing, output comparison or basic RAG pipeline use cases Required Skills Bachelors or Masters degree in Engineering, Statistics, Mathematics, Computer Science or related fields Strong Knowledge of Excel, Google Sheets and SQL Familiarity with Python (Pandas, NumPy, Matplotlib) Analytics and problem solving mindset Understanding of basic ML concepts, Jupyter notebooks etc. Awareness of NLP/LLM concepts (not mandatory)  

Location - LTIM Pan IndiaExperience - 5+to 12+ yrsGeneric JD-Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model DeploymentJD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domainExcellent 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 assetAnalytical 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 databasesGood understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.Should be a data-oriented person with analytical mind and business acumen.

As a dynamic and organized self-starter interested in joining Sciative's Tech Team, you will have the opportunity to collaborate with data scientists, software engineers, and business stakeholders. Your primary responsibilities will include: - Collaborating with team members to understand data requirements and design efficient data models. - Developing, implementing, and maintaining robust and scalable data pipelines, ETL processes, and data integration solutions. - Optimizing data processing and storage systems to handle large volumes of structured and unstructured data efficiently. - Performing data cleaning, normalization, and enrichment tasks to prepare datasets for analysis and modeling. - Monitoring data flows and processes to identify and resolve data-related issues and bottlenecks. - Contributing to the continuous improvement of data engineering practices and standards within the organization. - Staying up-to-date with industry trends and emerging technologies in data engineering, artificial intelligence, and dynamic pricing. To be successful in this role, you should possess the following qualifications: - Strong passion for data engineering, artificial intelligence, and problem-solving. - Solid understanding of data engineering concepts, data modeling, and data integration techniques. - Proficiency in programming languages such as Python, SQL, and Web Scraping. - Understanding of databases like NoSQL, relational database, In-Memory database, and technologies like MongoDB, Redis, Apache Spark would be an add-on. - Knowledge of distributed computing frameworks and big data technologies (e.g., Hadoop, Spark) is a plus. - Excellent analytical and problem-solving skills, with a keen eye for detail. - Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment. - Self-motivated, quick learner, and adaptable to changing priorities and technologies.,

As an Automation-Tools/Platform-Automated Artificial Intelligence Tools Specialist at NTT DATA in Bangalore, Karnataka, India, you will play a crucial role in leveraging machine learning models to predict asset health, process anomalies, and optimize operations. Your responsibilities will include working on sensor data pre-processing, model training, and inference deployment, as well as collaborating with simulation engineers for closed-loop systems. Key Responsibilities: - Build machine learning models to predict asset health, process anomalies, and optimize operations. - Work on sensor data pre-processing, model training, and inference deployment. - Collaborate with simulation engineers for closed-loop systems. Skills Required: - Experience in time-series modeling, regression/classification, and anomaly detection. - Familiarity with Python, scikit-learn, TensorFlow/PyTorch. - Experience with ML Ops on Azure ML, Databricks, or similar. - Understanding of manufacturing KPIs (e.g., OEE, MTBF, cycle time). About NTT DATA: NTT DATA is a $30 billion trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. Committed to helping clients innovate, optimize, and transform for long-term success, NTT DATA has diverse experts in more than 50 countries and a robust partner ecosystem. Their services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is a leading provider of digital and AI infrastructure in the world and is part of the NTT Group, which invests heavily in R&D to support organizations and society in confidently transitioning into the digital future. Visit them at us.nttdata.com.,

You are Dexian, seeking an experienced AI Engineer to design and implement scalable AI-driven solutions. You should have experience with LLMs (Claude via Azure OpenAI models), RAG, fine-tuning, and related AI/ML domains. Your skills should include programming languages such as Python, proficiency with cloud-based AI platforms and frameworks, strong analytical thinking, a deep understanding of model training and evaluation, and the ability to translate business requirements into technical solutions that deliver measurable impact. Key Responsibilities: - Develop AI/NLP solutions using LLMs (OpenAI, Claude, etc.) - Utilize Python (or similar) development skills for working with CSV/JSON/XML input formats - Familiarity with cloud-based LLM services like Azure OpenAI - Fine-tune LLMs/SLMs for optimal performance - Experience with Retrieval-Augmented Generation (RAG) is a plus - Handle data processing, data analysis, and build data pipelines - Solid understanding of rule-based processing and data-driven content generation Qualifications: - Experience in developing AI/NLP solutions using LLMs (OpenAI, Claude, etc.) - Proficient in Python (or similar) with experience in working with CSV/JSON/XML input formats - Familiarity with cloud-based LLM services such as Azure OpenAI - Experience in fine-tuning LLMs/SLMs - Experience with Retrieval-Augmented Generation (RAG) is a plus - Experience with data processing, data analysis, and building data pipelines - Solid understanding of rule-based processing and data-driven content generation Nice-to-Have Skills: - Experience with lightweight local development for AI proof-of-concepts - Previous work in e-commerce, retail, or marketing content generation - Deployment of applications on cloud infrastructure like Azure, AWS, GCP - Building scalable cloud solutions - Familiarity with databases (SQL, NoSQL),

Role Overview: Join the Data Science and Artificial Intelligence Team at Hitachi Solutions to fast-track your career in a disruptive startup atmosphere. As a Data Scientist, you will have the opportunity to work with a team of fun and nerdy colleagues focused on hypergrowth and engineering excellence. Your main goal will be to transform the company into a billion-dollar product company by making the cloud easier for customers. Key Responsibilities: - Execute tasks with a bias towards action, set high standards, collaborate with teams, and think boldly - Continuously learn new techniques and technologies, pushing the practice forward - Design and deploy end-to-end AI systems and pipelines - Communicate clearly with clients and peers - Gather requirements from business stakeholders to solve problems and translate them into solutions - Manage time effectively, set client expectations, and deliver quality work within deadlines Qualifications: - Master's Degree in Computer Science, Data Science, or related fields, or equivalent professional experience - Experience working with cloud technologies like Azure Databricks and MLflow on the Azure stack - Strong interpersonal and communication skills to explain technical concepts to non-technical audiences - Ability to work independently, collaborate in diverse teams, prioritize tasks, and thrive in a fast-paced environment - Proficiency in various modeling algorithms, feature engineering, model evaluation, and EDA - Strong programming skills in Python/PySpark and SQL - Understanding of distributed systems and the ability to build models for different serving environments (Note: Additional company information was not provided in the job description),

As an AI Engineer at NoBrokerage.com, you will be responsible for building and optimizing NLP pipelines to understand user queries and extract intent such as location, price, BHK, and amenities. You will work with LLMs like OpenAI, LLaMA, Mistral, and frameworks such as LangChain and LlamaIndex. Additionally, you will design and implement semantic and keyword search pipelines using technologies like ElasticSearch and Vector DB (Pinecone, Weaviate, Milvus). Your role will involve developing and deploying APIs using FastAPI or Node.js to connect chatbot intelligence with the property database. You will be tasked with integrating chatbot responses with the frontend, including structured cards and conversational replies. It will be crucial for you to continuously evaluate and improve the accuracy, relevance, and latency of the system. Collaboration with product, backend, and frontend teams for end-to-end delivery will also be a key aspect of your responsibilities. Furthermore, you will ensure scalability, monitoring, and cost-optimization of AI services in production. About Company: NoBrokerage.com is one of the fastest-growing real estate property portals that provides an online platform for effective exchange of real estate information among buyers, sellers, landlords, tenants, and channel partners in an inexpensive manner.,

Role Overview: As an Artificial Intelligence / Machine Learning Engineer, you will have the exciting opportunity to build and deploy new AI products from scratch. Your role will involve contributing to the AI strategy, defining problem statements, developing AI models, and setting technical standards. You will play a key part in establishing AI development and production infrastructure to ensure successful implementation of AI solutions. Key Responsibilities: - Work with a team to define and execute AI strategy. - Develop AI models and deploy them into production. - Establish technical standards for AI development. - Utilize Python and Image processing for AI model development. - Apply data visualization techniques for effective presentation. - Demonstrate expertise in statistical concepts and machine learning models. - Collaborate with cross-functional teams to solve complex problems using AI technology. Qualifications Required: - Minimum 1+ years of experience working with large volumes of data, preferably in the healthcare industry. - Formal education in relevant fields such as statistics, computer science, or applied mathematics. - Proficiency in Python and hands-on software development skills. - Strong understanding of data visualization and presentation techniques. - In-depth knowledge of statistical concepts and machine learning models. (Note: Additional details about the company were not provided in the job description.),

As an AI innovator and Automation Expert at Waaree, you will contribute to building the future of renewable energy through smart, data-driven, and automated solutions. You will be part of a team that is dedicated to creating impactful solutions that drive efficiency, scalability, and sustainability across the clean energy value chain. **Key Responsibilities:** - Passion for AI, digitalization, and automation - Ability to build and deploy smart tools, AI agents, and workflows - Experience (or interest) in renewable energy is a big plus - Open to both early-career professionals & senior experts **Qualifications Required:** - Demonstrated passion for AI, digitalization, and automation - Proficiency in building and deploying smart tools, AI agents, and workflows - Experience or interest in renewable energy is highly desirable - Open to professionals at all career stages If you have experience in building intelligent bots or are eager to start solving real-world problems with AI, we encourage you to apply for this opportunity. In case of interest, please send your profile and a quick note to swapnakantsamal@waaree.com. Join us at Waaree to revolutionize renewable energy with intelligence and innovation.,

Job Description: As a Technical Lead at Capgemini, you will have the opportunity to lead the technical design and implementation of AI/ML solutions. You will guide teams in leveraging AWS services for building and deploying machine learning models, ensuring best practices in code quality, scalability, and security. Collaborating with clients to gather requirements and translate them into technical solutions will be a key aspect of your role. Additionally, you will mentor and support the Data Science team in their deliverables. Key Responsibilities: - Lead the technical design and implementation of AI/ML solutions - Guide teams in leveraging AWS services for building and deploying machine learning models - Ensure best practices in code quality, scalability, and security - Collaborate with clients to gather requirements and translate them into technical solutions - Mentor and support the Data Science team in their deliverables Qualifications Required: - Artificial Intelligence expertise - Machine Learning experience - Data Science background - Proficiency in AWS Services,

Role Overview: As an AI Engineer at our company located in Cuffe Parade, Mumbai, you will be an integral part of our dynamic team, focusing on the development and enhancement of our AI-driven platforms. Your deep technical expertise in machine learning and artificial intelligence will be crucial in developing scalable AI solutions that drive substantial business impact. From data analysis to model building and integration to deployment, you will play a key role in ensuring the success of our AI initiatives. Key Responsibilities: - Develop machine learning models and AI solutions - Test, deploy, and maintain AI systems - Collaborate with data scientists and engineers to integrate AI into broader system architectures - Stay updated with AI trends and propose enhancements to existing systems and workflows Qualifications Required: - Degree in Computer Science, Engineering or related field - Experience with machine learning, deep learning, NLP, and computer vision - Proficiency in Python, Java, and R - Strong knowledge of AI frameworks such as TensorFlow or PyTorch - Excellent problem-solving skills and ability to work effectively in a team environment,

Role Overview: You will be responsible for designing, developing, and maintaining applications in Python. Your role will involve implementing RAG pipelines by integrating various LLMs with enterprise and external data sources. Additionally, you will develop MCP-based integrations to connect tools, APIs, and enterprise data systems with LLMs. Building APIs and microservices for AI-powered search, summarization, and conversational AI will also be a key part of your responsibilities. Furthermore, you will create document ingestion pipelines and manage embeddings with vector databases. Collaborating with AI engineers, architects, and data teams to ensure scalable deployment of RAG/MCP solutions will also be a crucial aspect of your role. Lastly, you will be expected to optimize application performance, security, and scalability for production-grade AI systems and stay updated with AI frameworks, MCP standards, and cloud AI services. Key Responsibilities: - Design, develop, and maintain applications in Python. - Implement RAG pipelines by integrating LLMs with enterprise and external data sources. - Develop MCP-based integrations to connect tools, APIs, and enterprise data systems with LLMs. - Build APIs and microservices for AI-powered search, summarization, and conversational AI. - Create document ingestion pipelines and manage embeddings with vector databases. - Collaborate with AI engineers, architects, and data teams to ensure scalable deployment of RAG/MCP solutions. - Optimize application performance, security, and scalability for production-grade AI systems. - Stay updated with AI frameworks, MCP standards, and cloud AI services. Qualifications Required: - Minimum of 8 years of IT experience with 1+ years of AI experience. - Strong hands-on experience in Python. - Solid understanding of OOP, REST APIs, and microservices architecture. - Proven experience with LLM-based applications and RAG integration. - Knowledge and practical implementation of Model Context Protocol (MCP) for AI tool orchestration. - Familiarity with vector databases such as FAISS, Pinecone, Weaviate, Qdrant, Azure Cognitive Search. - Hands-on experience with LangChain, LlamaIndex, Hugging Face Transformers, or similar AI libraries. - Strong problem-solving and cross-functional collaboration skills. Good to Have: - Experience with containerization using Docker and Kubernetes. - Experience with cloud AI services (Azure, AWS, GCP) for deployment and scaling. - Exposure to SQL/NoSQL databases for structured and unstructured data. - Prior experience in chatbot development, enterprise search, or knowledge management systems. - Understanding of MLOps practices for AI model deployment and monitoring.,