14 Lang Chain Jobs

Role : Data Scientist Experience: 610 Years Salary : 35 L Upto Location : Bangalore Notice Period: 30 Days max ( Immediate Joiners Preferred ) Note : We are Open for both Contract or FTE Job Description: We are seeking a Data Scientist with strong experience in natural language processing and generative AI to build intelligent systems that extract information from PDFs, power chatbots, and implement retrieval-augmented generation (RAG) solutions. The ideal candidate should have a solid foundation in machine learning, experience working with unstructured text data. Key Responsibilities: Design and implement pipelines for extracting structured data from PDF documents using tools like PyMuPDF, PDFPlumber, or OCR libraries. Develop and fine-tune RAG pipelines combining vector databases (e.g., FAISS, Chroma) with LLMs for document-based question answering. Build and optimize conversational agents (chatbots) that use domain-specific data and generative AI models. Train and evaluate machine learning and NLP models for classification, entity extraction, summarization, etc. Collaborate with engineering and product teams to integrate AI capabilities into production systems. Monitor model performance and continually improve accuracy and relevance of generated responses. Requirements: Strong Python skills and experience with libraries like Hugging Face Transformers, LangChain, or LlamaIndex. Strong knowledge of ABC cloud tools (AWS or Azure) Familiarity with vector databases and embedding models (OpenAI, Cohere, SentenceTransformers). Experience with PDF data extraction techniques and tools. Solid understanding of supervised/unsupervised ML, deep learning, and NLP techniques. Experience working with LLMs and knowledge of prompt engineering and fine-tuning. Bachelors or Masters degree in Computer Science, Data Science, or a related field.

Position Summary: We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. We are looking for AI Prompt Engineers with strong engineering, full stack expertise to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions. Extreme focus on speed to market and getting Products and Services in the hands of customer and passion to transform healthcare is key to the success of this role. Build scalable software solutions using LLMs and other ML models to solve challenges in healthcare. Build enterprise grade AI solutions with focus on privacy, security, fairness. Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions Strong engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats as required This is critical so that the AI output can be consumed as is and displayed on the dashboard for accelerated development cycles. Build extensible API Integrations, low code UI UX solutions, with extremely short cycle times, to extract information from sources, integrate with GPT4, receive insights and make them available in intuitive, high performing dashboards Build solutions that align with responsible AI practices. Envision the solution outcomes to solve for the business problem with actionable insights and design viable solutions to meet the outcomes. Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies. Work with frameworks(Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contribute to the establishment of best practices and standards for generative AI development within the organization. Experience Required: Overall 3+ years of experience 3 years of Full stack engineering expertise with languages like C#, Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus. Experience with information storage/retrieval using vector databases like pinecone. Strong understanding and exposure in natural language generation or Gen AI like transformers, LLMs, text embeddings. Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats (pdf, csv, doc, etc) Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index. 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. Programming experience in C C++, Java, Python. Strong knowledge of data structures, algorithms, and software engineering principles. Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Experience Desired: Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. Hands on experience on tools products like Dynatrace, Splunk, Service Now preferred. Experience in identifying KPI on solution build using Generative AI, for Ex RAG based Q&A, data summarization, text content generation, data extraction, etc. will be a big advantage. Understanding of standards and regulation related to use of GenAI for a US based Health Insurance provider preferred. Healthcare experience (preferred but not mandate) Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field.

Job Description Requirement Name / Title GenAI Developer Work Location Chennai/ Bangalore/Pune/Kolkata Shift General Shift Mandatory Skills Gen AI, LLM, RAG, Lang chain, Mistral,Llama, Vector DB, Azure/GCP/ Lambda, Python, Tensorflow, Pytorch Preferred Skills GPT-4, NumPy, Pandas, Keras, Databricks, Pinecone/Chroma/Weaviate, Scale/Labelbox, Job Description / Roles & Responsibilities (in Detail) We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework. • Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various GenAI base models • Design and develop prompts suiting project needs • Stakeholder management across business and domains as required for the projects • Evaluating base models and benchmarking performance • Implement prompt guardrails to prevent attacks like prompt injection, jailbreaking and prompt leaking • Develop, deploy and maintain auto prompt solutions • Design and implement minimum design standards for every use case involving prompt engineering • You will be responsible for training the machine learning and deep learning model. • Writing reusable, testable, and efficient code using Python • Design and implementation of low-latency, high-availability, and performant applications • Implementation of security and data protection • Integration of data storage solutions and API Gateways • Production change deployment and related support If you're interested or know someone who fits this role, feel free to reach out. WhatsApp: 9871530393 Email: shweta.gupta@sspearhead.com Warm Regards SHWETA GUPTA || Senior Recruitment Specialist Spearhead Professional Services Call/ WhatsApp: 9871530393 LinkedIn Profile: shwetagupta1810

Sundew is a growing company with 18 years of expertise in Digital Transformation, excelling in Digital Strategy, Cloud-Native Application Development, AI, and Product Engineering. We are seeking a Agentic AI Developer to join our AI team in designing, developing, and deploying next-generation autonomous and agentic systems for our global clients. In this role, you will work at the intersection of artificial intelligence, software engineering, and cognitive architectures to build AI agents that can reason, plan, learn, and act with high levels of autonomy across dynamic environments. The ideal candidate brings deep experience in building agent-based systems, reinforcement learning, or multi-agent frameworks, along with a passion for pushing the boundaries of AI that can operate with initiative and self-direction. Key Responsibilities Develop agentic AI systems capable of autonomous decision-making, task decomposition, and adaptive behavior in real-world or simulated environments. Design and implement cognitive architectures, memory systems, and planning algorithms to enable goal-driven, self-reflective agents. Integrate large language models (LLMs), symbolic reasoning, and other AI components into cohesive agent frameworks. Collaborate with cross-functional teams (e.g., product, UX, robotics, cloud engineering) to deploy agents in production environments. Optimize performance of agentic systems for scalability, latency, and robustness. Conduct experiments and evaluations on agent behavior, adaptability, and long-term autonomy. Stay current with research and best practices in autonomous agents, AI planning, reinforcement learning, and related domains. Qualifications Required: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, or a related field 3+ years experience in AI/ML software development, with a focus on autonomous agents or AI planning. Strong proficiency in Python and familiarity with frameworks such as Lang Chain, Auto Gen, or custom agentic toolkits. Experience with LLMs, transformers, and integrating language models into agent workflows. Solid understanding of one or more of: reinforcement learning, cognitive architectures, symbolic reasoning, or decision-making systems. Preferred: Experience with cloud-based deployment of AI systems (e.g., AWS, GCP, Azure) Published work in agentic AI, multi-agent systems, or autonomous learning. Contributions to open-source agentic AI tools or frameworks. What We Offer: Join a rapidly expanding, global organization leading the charge in digital transformation with cutting-edge technologies. Remote work environment to support work-life balance. Opportunity to grow in a fast-paced and emerging domain. Inclusive and collaborative team culture where your ideas matter. Competitive compensation package with performance-based incentives to reward excellence and drive measurable results. At Sundew, we are on a mission to explore and shape the future of generative AI. If you're curious, creative, and ready to learn, this is your chance to grow with a company that's pushing the boundaries of digital innovation.

Job description We are seeking a skilled and experienced Data Scientist to join our dynamic team. As Data Scientist, you will play a critical role in driving high-impact data science projects. Responsibilities: Develop and implement advanced machine learning and deep learning models for Data processing, natural language processing, computer vision. Machine Learning lifecycle: data prep, training data generation, feature engineering, optimization, experimentation, reproducibility, deployment, and end-to-end workflow management Knowledge of statistical programming languages like Python, Pandas, Numpy etc. Basic knowledge of query language like SQL. Utilize expertise in statistics, ML to extract valuable insights from complex data sets. Should have knowledge working with libraries like TensorFlow, PyTorch, scikit-learn, NLTK etc. Proven experience in Generative AI. Proven track record of successfully delivering complex data science projects. Work collaboratively with cross-functional teams to identify data science opportunities and provide innovative solutions. Deploy data science models in the form of APIs on Azure Kubernetes Service (AKS) to ensure smooth integration with existing systems. Stay updated with the latest advancements in data science, AI, and related fields, and apply them to enhance our capabilities. Qualifications: Bachelor's or Master' degree 10+ years of industry experience in data science, with a strong background in data processing, deep learning, natural language processing and generation, computer vision and statistics.

Job Summary: We are looking for a talented AI/ML Developer with full-stack development skills to join our team and contribute to the development of Agentic AI applications. The ideal candidate should have a strong foundation in machine learning, deep learning, natural language processing (NLP), and full-stack web development. You will be responsible for designing, building, and deploying AI-driven applications that can autonomously interact with users and external systems Key Responsibilities: Design, develop, and implement AI/ML models for Agentic AI applications. Build scalable full-stack applications integrating AI models with frontend and backend services. Develop APIs and microservices to support AI-driven interactions. Work with cloud platforms (AWS, Azure, or GCP) to deploy and scale AI applications. Optimize and fine-tune AI models for efficiency and accuracy. Implement real-time data processing pipelines and integrate with external APIs. Ensure application security, performance, and scalability. Collaborate with cross-functional teams to refine business requirements and translate them into technical solutions. Conduct testing and debugging to ensure robustness and reliability. Required Skills & Qualifications: AI/ML Expertise: Experience with Python, Tensor Flow, Py Torch, Open AI API, Lang Chain, or similar AI frameworks. Full-Stack Development: Proficiency in frontend (React.js, Vue.js, Angular) and backend (Node.js, Django, Flask, Fast API) technologies. Cloud & DevOps: Experience with AWS, Azure, or GCP, and familiarity with Docker, Kubernetes, and CI/CD pipelines. Data Engineering: Knowledge of databases (SQL & NoSQL), data pipelines, and real-time streaming technologies. API Development: Hands-on experience with RESTful and Graph QL APIs. NLP & LLMs: Understanding of transformer models, conversational AI, and large language models (LLMs). Version Control & Collaboration: Experience with Git, GitHub, and Agile methodologies. Strong problem-solving skills and ability to work independently. Preferred Qualifications: Experience working on Generative AI or Autonomous Agents. Knowledge of vector databases and retrieval-augmented generation (RAG). Familiarity with reinforcement learning and self-improving AI systems. Exposure to AI-driven chatbots or virtual assistants. Contribution to open-source AI projects or published research papers.

Capita is hiring AI engineers for Pune location AI Engineer (Offshore IN ) Experience: 5 to 8 yrs AI Engineer will play a crucial role in the implementation and maintenance of cutting-edge artificial intelligence products. The responsibilities of this role will involve designing and developing artificial intelligence systems as well as refining and updating existing systems. Candidate should be AI & Gen AI practitioner with experience building data pipelines based on model chaining, with solid platform and infrastructure foundations. Ideal candidate will have a strong knowledge base and expertise for specific Gen AI applications. Technical skills and responsibilities Model chain libraries (e.g. Langchain) Expertise in database management systems (e.g., Postgres, Redis) Well-versed in software engineering practices LLM and Foundational models (AWS and Azure platform) NLP - Experience handling unstructured data and applying machine learning techniques, including Natural Language Processing within the context of Large Language Models. Model serving and Model lifetime management (accuracy, Testing etc.) Ability to perform prompt engineering to guide AI models effectively. Workable knowledge of AI and ML best practices for Model building, Automation, Neural network enrichment, Iterative learning, Black box problem-solving Deep proficiency using Python and asynchronous programming, specifically regarding software development principles, algorithms, data structures, and design patterns. Experience in writing and maintaining test cases to ensure code quality Deployment including pipelines Experience with cloud platforms (e.g., AWS, Azure) and distributed computing. Proficiency with Git for version control and collaborative development Strong problem-solving skills to troubleshoot and resolve software issues effectively Excellent communication skills for clear and concise interaction with team members and stakeholders Familiarity with Agile and Scrum methodologies Requirements Total IT experience of around 5 to 8 years with 2 years’ experience in relevant role Clear communication with product owner and other engineers regarding project timelines, delays, advancements, and progression Understanding of Engineering ethics, AI creation ethics Strong time management skills Dedication to high-quality work output Ability to work in a team and Effective communication skills to collaborate with diverse teams. Outstanding analytical and problem-solving skills Excellent problem-solving abilities and a passion for innovation. Interested candidates send the resume on varsharani.savale@capita.com Total Experience: Current CTC: Expected CTC: Offer in hand: Notice period:

Responsibilities: Lead the integration of Perplexity.ai and ChatGPT APIs for real-time chatbot interactions. Design and implement intent extraction and NLP models for conversational AI. Design and Implement RAG (Retrieval-Augmented Generation) pipelines for context-aware applications Guide junior developers and ensure best practices in LLM application development. Set up Python API security, and performance monitoring. Requirements: Deep knowledge of NLP, LLMs (ChatGPT, GPT-4, Perplexity.ai, LangChain). Experience with Graph Databases (Neo4j) and RAG techniques. Familiarity with vector databases (Pinecone, Weaviate, FAISS). Strong expertise in Python (FastAPI, Flask) and/or Node.js (Express, NestJS). Good to have - experience with containerization (Docker, Kubernetes). Excellent problem-solving skills and experience leading a small AI/ML team.

Position Summary: You will be joining a team transforming healthcare and improving the lives and vitality of the millions of members we serve. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. We are looking for Sr AI Engineers with strong Azure Cloud Experience, full stack expertise to evaluate new Large Language Models (LLMs) and make them available for the enterprise in a compliant and secure manner. The work you do will impact millions of customers, members, and employers that rely on Cigna every day. Extreme focus on speed to market and getting Products and Services in the hands of customer and passion to transform healthcare is key to the success of this role. Job Description & Responsibilities: Build enterprise grade AI solutions with focus on privacy, security, fairness. Comprehensive understanding of cloud computing principles, services (such as resource pooling, rapid elasticity, measured service) and architectures(microservice and serverless) from major cloud providers (e.g., AWS, Azure, Google Cloud, OpenShift). Design and implement solutions leveraging OpenShift's features for container orchestration or using Azure services like Azure Machine Learning Service, Azure Blob Storage, Azure Functions, and Azure Virtual Machines to configure LLMs , Azure Data Factory and Azure APIs. Test latest LLMs using standard evaluation criteria and make the LLMs available for enterprise use, with the right security, authentication, logging and monitoring. Efficiently managing cloud resources to optimize performance and cost. Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies. Work with frameworks(Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contribute to the establishment of best practices and standards for generative AI development within the organization. Experience Required: Min 5 years of Full stack engineering expertise with languages like C#, Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. Experience Desired: Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus. Experience with information storage / retrieval using vector databases like pinecone. Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats(pdf, csv, doc, etc) Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index. Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field. Primary Skills: Strong understanding and exposure in natural language generation or Gen AI like transformers, LLMs, text embeddings. OpenShift and Kubernetes Expertise: In-depth knowledge of OpenShift and Kubernetes concepts, architecture, and best practices Programming experience in C/C++, Java, Python. Good to have Web development and solution skills, Flask, Django (for Python) or Express (for Node.js) Basic knowledge of web frameworks for creating restful APIs to serve models as a service. AWS Services knowledge: Leveraging one or more of Sagemaker, S3, Lambda, and EC2 to build solutions on the AWS cloud. Strong knowledge of data structures, algorithms, and software engineering principles. Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure Additional Skills: Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.

Position Summary: We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. We are looking for AI Prompt Engineers with strong engineering, full stack expertise to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions. Extreme focus on speed to market and getting Products and Services in the hands of customer and passion to transform healthcare is key to the success of this role. Build scalable software solutions using LLMs and other ML models to solve challenges in healthcare. Build enterprise grade AI solutions with focus on privacy, security, fairness. Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions Strong engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats as required This is critical so that the AI output can be consumed as is and displayed on the dashboard for accelerated development cycles. Build extensible API Integrations, low code UI / UX solutions, with extremely short cycle times, to extract information from sources, integrate with GPT4, receive insights and make them available in intuitive, high performing dashboards Build solutions that align with responsible AI practices. Envision the solution outcomes to solve for the business problem with actionable insights and design viable solutions to meet the outcomes. Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies. Work with frameworks(Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contribute to the establishment of best practices and standards for generative AI development within the organization. Experience Required: Overall 3+ years of experience 3 years of Full stack engineering expertise with languages like C#, Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus. Experience with information storage/retrieval using vector databases like pinecone. Strong understanding and exposure in natural language generation or Gen AI like transformers, LLMs, text embeddings. Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats (pdf, csv, doc, etc) Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index. 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. Programming experience in C / C++, Java, Python. Strong knowledge of data structures, algorithms, and software engineering principles. Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Experience Desired: Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. Hands on experience on tools / products like Dynatrace, Splunk, Service Now preferred. Experience in identifying KPI on solution build using Generative AI, for Ex RAG based Q&A, data summarization, text content generation, data extraction, etc. will be a big advantage. Understanding of standards and regulation related to use of GenAI for a US based Health Insurance provider preferred. Healthcare experience (preferred but not mandate) Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field.

Mandatory Skills Gen AI, LLM, ML/DL/NLP, RAG, Lang chain, Llama, Hugging Face, Python, Tensorflow, Pytorch, Django, Vector DB, Preferred Skills Azure/AWS, MLOps, Kubernetes, GitHub/Bitbucket, GPT-4, Banking exposure Job Description / Roles & Responsibilities (in Detail) Strong understanding of machine learning and deep learning principles and algorithms. Experience in developing and implementing generative AI models and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Ability to work with large datasets and knowledge of data preprocessing techniques. Familiarity with natural language processing (NLP) and computer vision for generative AI applications. Experience in building and deploying generative AI systems in real-world applications. Utilize advanced machine learning techniques to develop and train generative AI models. Collaborate with cross-functional teams to groom and preprocess large datasets for model training. Participating in due diligence activities to understand existing process, tech stack, platforms etc and expand/reuse the existing capabilities. Research and implement cutting-edge algorithms and architectures for generative AI applications. Optimize model performance and scalability for real-time inference and deployment. Stay current with industry trends and advancements in generative AI technology to drive innovation. Experiment with different hyperparameters and model configurations to improve generative AI model quality. Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Provide technical expertise and guidance to support the integration of generative AI solutions into various products and services. Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders • Strong problem-solving and critical thinking skills for complex AI problems. Excellent communication and teamwork abilities to collaborate with cross-functional teams. Proven track record of delivering innovative solutions using generative AI technologies.

Experience in building and deploying generative AI systems in real-world applications. Utilize advanced machine learning techniques to develop and train generative AI models. Collaborate with cross-functional teams to groom and preprocess large datasets for model training. Participating in due diligence activities to understand existing process, tech stack, platforms etc and expand/reuse the existing capabilities. Research and implement cutting-edge algorithms and architectures for generative AI applications. Optimize model performance and scalability for real-time inference and deployment. Stay current with industry trends and advancements in generative AI technology to drive innovation. Experiment with different hyperparameters and model configurations to improve generative AI model quality. Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Provide technical expertise and guidance to support the integration of generative AI solutions into various products and services. Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Strong problem-solving and critical thinking skills for complex AI problems. Excellent communication and teamwork abilities to collaborate with cross-functional teams. Proven track record of delivering innovative solutions using generative AI technologies. Ability to stay updated with the latest advancements in generative AI and adapt to new techniques and methodologies.

Primary Skills (Mandatory): Artificial Intelligence Machine Learning Proficiency in programming languages: Java, C, Python, R, or equivalent Secondary Skills (Good to have): Experience with Generative AI models and frameworks such as Open Ai's GPT family of models, open-source LLMs, and Lang Chain Must Have Bachelors degree in data science statistics mathematics computer science or engineering discipline or equivalent experience 3 years of work educational experience leading development of Machine Learning prompt engineering data analysis and Artificial Intelligence 1 years of experience with product on grade design deployment and implementation of AI models and systems contributing fresh ideas and approaches to the teams efforts Experience with one or more general purpose programming languages including but not limited to Java CC Python R or equivalent Experience and knowledge in designing building and deploying multi layered application Infrastructure involving On-premises AWS Cloud platform using services Bedrock LLM models You enjoy working with people and can put yourself in other peoples shoes You're not afraid to ask for help when you need it or help teammates when they need a boost Embraces diverse people thinking and styles Consistently makes safety and security of self and others the priority Experience with one or more of the following Natural Language Processing sentiment analysis classification pattern recognition Consistently makes safety and security of self and others the priority If interested, please apply on below link/share resume on hr@awone.ai with below details: Total Experience: Current CTC: Expected CTC: Current Location: Preferred Location:

AI & ML Model Development: •Execute PoCs and MVPs for AI and ML projects, focusing on practical implementation. •Develop and refine ML models, including supervised and unsupervised learning algorithms. •Build and deploy GenAI solutions, such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and chatbots. •Collaborate with AI Engineers to integrate models into enterprise applications. Data Handling & Preprocessing: •Collect, clean, and preprocess data to ensure quality inputs for model training. •Conduct exploratory data analysis (EDA) to uncover insights and inform model development. •Work with Data Engineers to ensure smooth data pipelines and infrastructure. Model Evaluation & Optimization: •Evaluate model performance using appropriate metrics and fine-tune algorithms for optimal results. Technical Skills: •Proficient in Python and SQL for data manipulation and model development. •Familiarity with ML frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch. •Experience with data visualization tools (e.g., Matplotlib, Seaborn) and EDA techniques. •Basic understanding of MLOps tools like MLflow, Airflow, or similar is an advantage. •Exposure to cloud platforms (Azure, AWS, GCP) for AI/ML model deployment is a plus. SKILLS Gen AI Lang chain Llama Working experience with Text, Multi Model, and images