20 Gpt3 Jobs

As a Data Scientist at C5i, you will be part of a team that caters to some of the world's largest enterprises, including Fortune 500 companies across various sectors such as Technology, Media, Telecom, Pharma & Lifesciences, CPG, Retail, and Banking. C5i has garnered recognition from industry analysts like Gartner and Forrester for its Analytics and AI capabilities along with proprietary AI-based platforms. **Key Responsibilities:** - Possess 4+ years of experience in machine learning, deep learning, or AI research, focusing on generative models. - Demonstrated expertise in generative models including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based models like GPT-3/4, BERT, DALL.E. - Understanding of model fine-tuning, transfer learning, and prompt engineering within the realm of large language models (LLMs). - Knowledge of reinforcement learning (RL) and other advanced machine learning techniques applicable to generative tasks. - Proficient in Python programming and well-versed with relevant libraries and frameworks. - Proven hands-on experience in document detail extraction and feature engineering. - Proficiency in data processing and manipulation techniques. - Hands-on experience in developing data applications using Streamlit or similar tools. - Advanced knowledge in prompt engineering, chain of thought processes, and AI agents. - Strong problem-solving skills and the ability to collaborate effectively in a team environment. - Excellent communication skills to articulate complex technical concepts to non-technical stakeholders. **Qualifications Required:** - 4+ years of experience in machine learning, deep learning, or AI research, with a specific focus on generative models. - Proficiency in generative models such as GANs, VAEs, and transformer-based models. - Knowledge of reinforcement learning and advanced machine learning techniques for generative tasks. - Strong programming skills in Python and familiarity with relevant libraries and frameworks. - Proven experience in document detail extraction and feature engineering. - Hands-on experience in building data applications using Streamlit or similar tools. - Advanced knowledge in prompt engineering, chain of thought processes, and AI agents. - Strong communication skills to effectively convey technical concepts to non-technical stakeholders. Please note that the Job Description also mentions that C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.,

We are hiring a AIML Technical Lead for the Noida location. Any graduate can apply. Job description Technical Skillset : Must Have Skills - Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering : The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization : Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality : Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. It is essential to have a solid understanding of data structures, algorithms, and principles of software engineering. Experience with vector databases RDBMS, MongoDB and NoSQL databases. Proficiency in working with embeddings. Strong distributed systems skills and system architecture skills Experienced in building and running a large platform at scale. Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. Experience as data modeling ML/NLP scientist. including, but not limited to, Performance tuning, fine-tuning, RLHF, and performance optimization. Validated background with ML toolkits, such as PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. Proficient with the integration of data from multiple data sources Experience with NoSQL databases, such as HBase, ElasticSearch, and MongoDB API Design. API/Data mapping to schema. Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Good Knowledge of Kubernetes, and RESTful design. Prior experience in developing public cloud services or open-source ML software is an advantage Role and responsibilities - Collaborating with cross-functional teams to define AI project requirements and objectives ensuring alignment with overall business goals Conducting research to stay up to date with the latest advancements in generative AI machine learning and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance scalability and efficiency. Active participation in developer communities, open-source contributions, or personal GenAI projects Work closely with the GenAI development team to integrate AI models and applications with the existing/new tool, quality, and performance. Act as an authority, guiding junior engineers and collaborating teams, fostering a culture of development excellence, collaboration, and continuous learning. Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies Working with leadership and stakeholders to identify AI opportunities and promote strategy. Serve as a technical lead, overseeing and supervising projects and engineers on the team. Play a leading hands-on role in the design and implementation of our ML infrastructure and GenAI platform software technologies. Drive our technology vision and roadmap. Establish software development best practices, and lead by example in applying them Experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions Strong sense of software design and usability of ML systems Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security. Proven experience as a Engineering Lead, hands on Software Engineering Manager, or similar role Develop natural language processing (NLP) solutions using GenAI, LLMs and custom transformer architectures. Adopt and customize LLM agent-based orchestration tools (LlamaIndex, Langchain, Semantic Kernel) for enterprise applications and use cases Implement information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Developing and/or tune Large Language Models (LLM) and Generative AI (GAI) Analyze, design, develop, support and maintain Big Data environment and code base, support traditional data pipelines and processes. Education Computer science, Data Engineering, or a related field graduates. Sal upto 25 LPA Regards SPARK CONSULTANCY

We are hiring a AIML Technical Lead for the Noida location. Any graduate can apply. Job description Technical Skillset : Must Have Skills - Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering : The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization : Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality : Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. It is essential to have a solid understanding of data structures, algorithms, and principles of software engineering. Experience with vector databases RDBMS, MongoDB and NoSQL databases. Proficiency in working with embeddings. Strong distributed systems skills and system architecture skills Experienced in building and running a large platform at scale. Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. Experience as data modeling ML/NLP scientist. including, but not limited to, Performance tuning, fine-tuning, RLHF, and performance optimization. Validated background with ML toolkits, such as PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. Proficient with the integration of data from multiple data sources Experience with NoSQL databases, such as HBase, ElasticSearch, and MongoDB API Design. API/Data mapping to schema. Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Good Knowledge of Kubernetes, and RESTful design. Prior experience in developing public cloud services or open-source ML software is an advantage Role and responsibilities - Collaborating with cross-functional teams to define AI project requirements and objectives ensuring alignment with overall business goals Conducting research to stay up to date with the latest advancements in generative AI machine learning and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance scalability and efficiency. Active participation in developer communities, open-source contributions, or personal GenAI projects Work closely with the GenAI development team to integrate AI models and applications with the existing/new tool, quality, and performance. Act as an authority, guiding junior engineers and collaborating teams, fostering a culture of development excellence, collaboration, and continuous learning. Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies Working with leadership and stakeholders to identify AI opportunities and promote strategy. Serve as a technical lead, overseeing and supervising projects and engineers on the team. Play a leading hands-on role in the design and implementation of our ML infrastructure and GenAI platform software technologies. Drive our technology vision and roadmap. Establish software development best practices, and lead by example in applying them Experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions Strong sense of software design and usability of ML systems Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security. Proven experience as a Engineering Lead, hands on Software Engineering Manager, or similar role Develop natural language processing (NLP) solutions using GenAI, LLMs and custom transformer architectures. Adopt and customize LLM agent-based orchestration tools (LlamaIndex, Langchain, Semantic Kernel) for enterprise applications and use cases Implement information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Developing and/or tune Large Language Models (LLM) and Generative AI (GAI) Analyze, design, develop, support and maintain Big Data environment and code base, support traditional data pipelines and processes. Education Computer science, Data Engineering, or a related field graduates. Sal upto 25 LPA Regards SPARK CONSULTANCY

We are hiring a AIML Technical Lead for the Noida location. Any graduate can apply. Job description Technical Skillset : Must Have Skills - Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering : The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization : Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality : Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. It is essential to have a solid understanding of data structures, algorithms, and principles of software engineering. Experience with vector databases RDBMS, MongoDB and NoSQL databases. Proficiency in working with embeddings. Strong distributed systems skills and system architecture skills Experienced in building and running a large platform at scale. Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. Experience as data modeling ML/NLP scientist. including, but not limited to, Performance tuning, fine-tuning, RLHF, and performance optimization. Validated background with ML toolkits, such as PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. Proficient with the integration of data from multiple data sources Experience with NoSQL databases, such as HBase, ElasticSearch, and MongoDB API Design. API/Data mapping to schema. Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Good Knowledge of Kubernetes, and RESTful design. Prior experience in developing public cloud services or open-source ML software is an advantage Role and responsibilities - Collaborating with cross-functional teams to define AI project requirements and objectives ensuring alignment with overall business goals Conducting research to stay up to date with the latest advancements in generative AI machine learning and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance scalability and efficiency. Active participation in developer communities, open-source contributions, or personal GenAI projects Work closely with the GenAI development team to integrate AI models and applications with the existing/new tool, quality, and performance. Act as an authority, guiding junior engineers and collaborating teams, fostering a culture of development excellence, collaboration, and continuous learning. Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies Working with leadership and stakeholders to identify AI opportunities and promote strategy. Serve as a technical lead, overseeing and supervising projects and engineers on the team. Play a leading hands-on role in the design and implementation of our ML infrastructure and GenAI platform software technologies. Drive our technology vision and roadmap. Establish software development best practices, and lead by example in applying them Experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions Strong sense of software design and usability of ML systems Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security. Proven experience as a Engineering Lead, hands on Software Engineering Manager, or similar role Develop natural language processing (NLP) solutions using GenAI, LLMs and custom transformer architectures. Adopt and customize LLM agent-based orchestration tools (LlamaIndex, Langchain, Semantic Kernel) for enterprise applications and use cases Implement information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Developing and/or tune Large Language Models (LLM) and Generative AI (GAI) Analyze, design, develop, support and maintain Big Data environment and code base, support traditional data pipelines and processes. Education Computer science, Data Engineering, or a related field graduates. Sal upto 25 LPA Regards SPARK CONSULTANCY

We are hiring a AIML Technical Lead for the Noida location. Any graduate can apply. Job description Technical Skillset : Must Have Skills - Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering : The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization : Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality : Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. It is essential to have a solid understanding of data structures, algorithms, and principles of software engineering. Experience with vector databases RDBMS, MongoDB and NoSQL databases. Proficiency in working with embeddings. Strong distributed systems skills and system architecture skills Experienced in building and running a large platform at scale. Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. Experience as data modeling ML/NLP scientist. including, but not limited to, Performance tuning, fine-tuning, RLHF, and performance optimization. Validated background with ML toolkits, such as PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. Proficient with the integration of data from multiple data sources Experience with NoSQL databases, such as HBase, ElasticSearch, and MongoDB API Design. API/Data mapping to schema. Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Good Knowledge of Kubernetes, and RESTful design. Prior experience in developing public cloud services or open-source ML software is an advantage Role and responsibilities - Collaborating with cross-functional teams to define AI project requirements and objectives ensuring alignment with overall business goals Conducting research to stay up to date with the latest advancements in generative AI machine learning and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance scalability and efficiency. Active participation in developer communities, open-source contributions, or personal GenAI projects Work closely with the GenAI development team to integrate AI models and applications with the existing/new tool, quality, and performance. Act as an authority, guiding junior engineers and collaborating teams, fostering a culture of development excellence, collaboration, and continuous learning. Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies Working with leadership and stakeholders to identify AI opportunities and promote strategy. Serve as a technical lead, overseeing and supervising projects and engineers on the team. Play a leading hands-on role in the design and implementation of our ML infrastructure and GenAI platform software technologies. Drive our technology vision and roadmap. Establish software development best practices, and lead by example in applying them Experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions Strong sense of software design and usability of ML systems Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security. Proven experience as a Engineering Lead, hands on Software Engineering Manager, or similar role Develop natural language processing (NLP) solutions using GenAI, LLMs and custom transformer architectures. Adopt and customize LLM agent-based orchestration tools (LlamaIndex, Langchain, Semantic Kernel) for enterprise applications and use cases Implement information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Developing and/or tune Large Language Models (LLM) and Generative AI (GAI) Analyze, design, develop, support and maintain Big Data environment and code base, support traditional data pipelines and processes. Education Computer science, Data Engineering, or a related field graduates. Sal upto 25 LPA Regards SPARK CONSULTANCY

We are hiring a AIML Technical Lead for the Noida location. Any graduate can apply. Job description Technical Skillset : Must Have Skills - Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering : The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization : Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality : Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. It is essential to have a solid understanding of data structures, algorithms, and principles of software engineering. Experience with vector databases RDBMS, MongoDB and NoSQL databases. Proficiency in working with embeddings. Strong distributed systems skills and system architecture skills Experienced in building and running a large platform at scale. Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. Experience as data modeling ML/NLP scientist. including, but not limited to, Performance tuning, fine-tuning, RLHF, and performance optimization. Validated background with ML toolkits, such as PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. Proficient with the integration of data from multiple data sources Experience with NoSQL databases, such as HBase, ElasticSearch, and MongoDB API Design. API/Data mapping to schema. Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Good Knowledge of Kubernetes, and RESTful design. Prior experience in developing public cloud services or open-source ML software is an advantage Role and responsibilities - Collaborating with cross-functional teams to define AI project requirements and objectives ensuring alignment with overall business goals Conducting research to stay up to date with the latest advancements in generative AI machine learning and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance scalability and efficiency. Active participation in developer communities, open-source contributions, or personal GenAI projects Work closely with the GenAI development team to integrate AI models and applications with the existing/new tool, quality, and performance. Act as an authority, guiding junior engineers and collaborating teams, fostering a culture of development excellence, collaboration, and continuous learning. Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies Working with leadership and stakeholders to identify AI opportunities and promote strategy. Serve as a technical lead, overseeing and supervising projects and engineers on the team. Play a leading hands-on role in the design and implementation of our ML infrastructure and GenAI platform software technologies. Drive our technology vision and roadmap. Establish software development best practices, and lead by example in applying them Experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions Strong sense of software design and usability of ML systems Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security. Proven experience as a Engineering Lead, hands on Software Engineering Manager, or similar role Develop natural language processing (NLP) solutions using GenAI, LLMs and custom transformer architectures. Adopt and customize LLM agent-based orchestration tools (LlamaIndex, Langchain, Semantic Kernel) for enterprise applications and use cases Implement information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Developing and/or tune Large Language Models (LLM) and Generative AI (GAI) Analyze, design, develop, support and maintain Big Data environment and code base, support traditional data pipelines and processes. Education Computer science, Data Engineering, or a related field graduates. Sal upto 25 LPA Regards SPARK CONSULTANCY

As a skilled AI Engineer, you will demonstrate proficiency in Generative AI & LLMs including GPT-3, Langchain, and LLMs. Your experience in prompt engineering, few-shot/zero-shot learning, RLHF, and model optimization will be essential in developing and implementing generative AI models. Your expertise in Machine Learning & NLP, particularly in Python utilizing frameworks like Hugging Face, TensorFlow, Keras, and PyTorch, will play a crucial role in optimizing LLM performance through fine-tuning and hyperparameter evaluation. A strong understanding of embeddings and data modeling is required for this role. Experience with various databases such as vector databases, RDBMS, MongoDB, and NoSQL databases (HBase, Elasticsearch), as well as data integration from multiple sources, will be beneficial. Your knowledge in Software Engineering, encompassing data structures, algorithms, system architecture, and distributed systems, will enable you to build and maintain robust distributed systems. Hands-on experience with Platform & Cloud technologies like Kubernetes, Spark ML, Databricks, and developing scalable platforms at scale is necessary. Proficiency in API Development, including API design, RESTful services, and data mapping to schemas, will be essential for integrating AI models into scalable web applications. Your responsibilities will include designing, developing, and implementing generative AI models, optimizing LLM performance, collaborating with ML and integration teams, building and maintaining distributed systems, integrating data from diverse sources, and enhancing response quality and performance using advanced techniques. To qualify for this role, you should hold a B.Tech / B.E. /M.Tech / M.E. degree and have a proven track record in building and deploying AI/ML models, particularly LLMs. Prior experience in developing public cloud services or open-source ML software would be advantageous. Knowledge of big-data tools will be considered a strong asset for this position.,

You are a highly skilled and experienced Senior Developer who will be responsible for leading the development efforts for Azure OpenAI projects. Your role will involve utilizing the latest advancements in artificial intelligence and cloud technologies to create innovative solutions that drive business value. As a Senior Developer, you will be pivotal in designing, developing, and deploying AI models and advanced applications on the Azure platform. Your key responsibilities will include taking charge of the end-to-end development lifecycle of AI solutions, integrating Azure services like App Services, Azure Cognitive Services, and Azure OpenAI to build robust and scalable AI applications, collaborating with cross-functional teams to ensure seamless integration of AI solutions, maintaining high standards for code quality, testing, and documentation, staying updated with the latest advancements in AI and cloud technologies, providing mentorship to junior developers and team members, and fostering a culture of continuous learning and improvement. To qualify for this role, you should hold a Bachelor's or master's degree in computer science, Engineering, or equivalent, have at least 5+ years of experience in rest API calls using Node.js and a minimum of 3 years of experience in Azure OpenAI, possess proficiency in programming languages such as React.js, Node.js, and Next.js, along with experience in developing and deploying AI solutions. You should also have hands-on experience with Azure services, Azure Cognitive Services, and Azure OpenAI, proficiency with OpenAI models and frameworks (e.g., GPT-3, GPT-4, Codex), experience with AI ethics and responsible AI practices, knowledge of Azure pipelines and automated deployment processes, excellent analytical and problem-solving skills, strong verbal and written communication skills, and the ability to work collaboratively in a team environment.,

As a Data Scientist specializing in Generative AI LLMs, you will be part of our dynamic team, bringing your expertise in AI, machine learning, and deep learning to solve complex business challenges. With a focus on generative models, you will leverage your 2+ years of experience in the field to contribute to innovative solutions. Your responsibilities will include working with generative models such as GANS, VAEs, and transformer-based models like GPT-3/4, BERT, DALL.E. You will apply your understanding of model fine-tuning, transfer learning, and prompt engineering within the context of large language models (LLMs). Additionally, your knowledge of reinforcement learning and advanced machine learning techniques will be essential for tackling generative tasks effectively. Proficiency in Python programming and familiarity with relevant libraries and frameworks will enable you to implement your solutions effectively. Your proven experience in document detail extraction, feature engineering, data processing, and manipulation techniques will be key in developing innovative data applications using tools like Streamlit. Moreover, your advanced expertise in prompt engineering, chain of thought processes, and AI agents will set you apart in this role. Your strong problem-solving skills and ability to collaborate effectively in a team environment will be crucial for success. Furthermore, your excellent communication skills will allow you to convey complex technical concepts to non-technical stakeholders with clarity. If you are passionate about AI, machine learning, and deep learning, and eager to contribute to cutting-edge projects, we invite you to join us as a Data Scientist specializing in Generative AI LLMs.,

Reimagine Travel with AI At our organization, we are actively involved in shaping the future of travel by utilizing AI-driven innovation. We are leveraging LLMs and AI agents to provide personalized and seamless travel experiences for our customers. By joining our team, you will have the opportunity to contribute towards enhancing Myra, our conversational AI chatbot, and play a pivotal role in redefining how travelers plan their journeys. The ideal candidate for the Senior Data Scientist position should possess 4-6 years of relevant experience. In this role, you will be responsible for developing and fine-tuning LLMs and AI agents tailored for trip planning and dynamic personalization. Additionally, you will work on building generative AI models to enhance intelligent travel assistants, virtual experiences, and pricing engines. You will be tasked with optimizing real-time decision-making processes by leveraging advanced NLP techniques and high-quality data. Collaboration with cross-functional teams to deploy scalable AI solutions for millions of travelers will also be a key aspect of this role. We are seeking individuals with a strong background in PyTorch, TensorFlow, and transformer models such as GPT-3/4, BERT, T5. Proficiency in NLP, LLM fine-tuning, and data-centric ML is highly desirable. A proven track record in areas like search relevance, personalization engines, and scalable AI pipelines will be advantageous. The ability to approach problem-solving proactively and thrive in fast-paced environments is crucial for success in this role. By joining our team, you will become part of a dynamic group that is revolutionizing the travel industry through the application of cutting-edge AI and Generative AI technologies. Your work will have a direct impact on millions of users worldwide, offering you a unique opportunity to make a difference in the field of travel technology. Candidates applying for this position are required to have an educational background in BE/BTech from Tier 1 institutes (IITs/IIITs/NITs). A preferred qualification would be an MS or Ph.D. in CS/ECE/AI/ML or equivalent fields, demonstrating a strong academic foundation in relevant areas.,

About the role: As a Senior Software Engineer - Generative AI, you will play a critical role in designing, developing, and deploying AI-powered applications. You will work across the stack, integrating advanced generative models (LLMs) and cloud infrastructure into full-scale web and mobile solutions. You'll collaborate with cross-functional teams and help drive innovation through hands-on coding, architectural input, and engineering best practices. What You'll Do: - Build and Deploy: Design and develop robust full-stack applications using Python (backend) and modern frontend frameworks (React, Angular, etc.). - Generative AI Development: Apply LLMs and other generative models (e.g., GPT-3/4, transformers) to build scalable, intelligent systems. - Architect Solutions: Contribute to the architectural design of AI-powered products that are scalable, maintainable, and cloud-native. - Mentor and Collaborate: Support junior developers through mentorship while closely collaborating with product managers, data scientists, and designers. - Cloud Engineering: Deploy, monitor, and optimize applications and models using cloud services (AWS, GCP, or Azure). - Maintain High Standards: Uphold coding best practices, conduct peer reviews, and write clean, well-documented code. - Continuous Innovation: Stay abreast of developments in full-stack engineering, generative AI, and cloud platforms to integrate emerging technologies into projects. On your first day, we'll expect you to have: - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 4-7 years of hands-on experience in full-stack software development with a strong focus on Python-based backends. - Experience building and integrating generative AI models (e.g., GPT-3, GPT-4, transformers, RAG pipelines). - Proficiency in web frameworks such as Django, Flask, or FastAPI. - Solid experience with frontend frameworks like React, Angular, or Vue.js. - Strong understanding of cloud platforms (AWS, GCP, or Azure) and deploying scalable applications. - Demonstrated ability to work autonomously and in collaborative, agile teams. - Experience mentoring junior engineers or leading small project teams is a plus. Benefits: At Calfus, we value our employees and offer a strong benefits package. This includes medical, group, and parental insurance, coupled with gratuity and provident fund options. Further, we support employee wellness and provide birthday leave as a valued benefit. Calfus is an Equal Opportunity Employer. We believe diversity drives innovation. We're committed to creating an inclusive workplace where everyoneregardless of background, identity, or experiencehas the opportunity to thrive. We welcome all applicants!,

Technical Skillset : Must Have Skills - Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering : The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization : Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality : Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. It is essential to have a solid understanding of data structures, algorithms, and principles of software engineering. Experience with vector databases RDBMS, MongoDB and NoSQL databases. Proficiency in working with embeddings. Strong distributed systems skills and system architecture skills Experienced in building and running a large platform at scale. Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. Experience as data modeling ML/NLP scientist. including, but not limited to, Performance tuning, fine-tuning, RLHF, and performance optimization. Validated background with ML toolkits, such as PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. Proficient with the integration of data from multiple data sources Experience with NoSQL databases, such as HBase, ElasticSearch, and MongoDB API Design. API/Data mapping to schema. Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Good Knowledge of Kubernetes, and RESTful design. Prior experience in developing public cloud services or open-source ML software is an advantage Role and responsibilities - Collaborating with cross-functional teams to define AI project requirements and objectives ensuring alignment with overall business goals Conducting research to stay up to date with the latest advancements in generative AI machine learning and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance scalability and efficiency. Active participation in developer communities, open-source contributions, or personal GenAI projects Work closely with the GenAI development team to integrate AI models and applications with the existing/new tool, quality, and performance. Act as an authority, guiding junior engineers and collaborating teams, fostering a culture of development excellence, collaboration, and continuous learning. Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies Working with leadership and stakeholders to identify AI opportunities and promote strategy. Serve as a technical lead, overseeing and supervising projects and engineers on the team. Play a leading hands-on role in the design and implementation of our ML infrastructure and GenAI platform software technologies. Drive our technology vision and roadmap. Establish software development best practices, and lead by example in applying them Experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions Strong sense of software design and usability of ML systems Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security. Proven experience as a Engineering Lead, hands on Software Engineering Manager, or similar role Develop natural language processing (NLP) solutions using GenAI, LLMs and custom transformer architectures. Adopt and customize LLM agent-based orchestration tools (LlamaIndex, Langchain, Semantic Kernel) for enterprise applications and use cases Implement information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Developing and/or tune Large Language Models (LLM) and Generative AI (GAI) Analyze, design, develop, support and maintain Big Data environment and code base, support traditional data pipelines and processes. Education Computer science, Data Engineering, or a related field graduates.

At Calfus, we are dedicated to delivering state-of-the-art AI agents and products that revolutionize businesses in unprecedented ways. Our mission is to enable companies to fully leverage the power of AI, unveiling new opportunities that were previously unimaginable. Whether for start-ups or established enterprises, our software engineering teams are highly esteemed by customers due to our consistent delivery of solutions that fuel revenue growth. With successful implementations of cloud solutions and the development of tools seamlessly integrating with ERP systems to reduce manual work, our ERP solution teams empower individuals to focus on impactful tasks. Your contribution as a skilled professional is crucial to our success! We are actively seeking talented individuals to join our global teams and enhance our in-house expertise, ensuring the delivery of exceptional AI, software engineering, and enterprise application solutions. As one of the fastest-growing companies in our field, we take pride in fostering an innovative culture that embraces new ideas without hesitation. Driven by speed, agility, and dedication, we seek team members who share the same commitment. Surrounded by high-energy and motivated individuals, we excel in our performance. To sustain our rapid growth and make an even greater impact, we invite you to explore our open positions and be a part of our exciting journey. As a Senior Software Engineer specializing in Generative AI at Calfus, you will be pivotal in the design, development, and deployment of AI-powered applications. Your responsibilities will include working across the stack to integrate advanced generative models such as LLMs and cloud infrastructure into comprehensive web and mobile solutions. Collaborating with cross-functional teams, your role will involve driving innovation through hands-on coding, providing architectural input, and implementing engineering best practices. In this role, you will: - Design and develop robust full-stack applications utilizing Python for backend and modern frontend frameworks like React and Angular. - Implement generative AI models such as LLMs, GPT-3/4, and transformers to create scalable and intelligent systems. - Contribute to the architectural design of AI-powered products that are scalable, maintainable, and cloud-native. - Support junior developers through mentorship and collaborate closely with product managers, data scientists, and designers. - Deploy, monitor, and optimize applications and models using cloud services from AWS, GCP, or Azure. - Uphold coding best practices, conduct peer reviews, and maintain clean, well-documented code. - Stay informed about advancements in full-stack engineering, generative AI, and cloud platforms to integrate emerging technologies into projects. On your first day, we expect you to have: - A Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 4-7 years of hands-on experience in full-stack software development with a strong emphasis on Python-based backends. - Proficiency in building and integrating generative AI models like GPT-3, GPT-4, transformers, and RAG pipelines. - Experience with web frameworks such as Django, Flask, or FastAPI, as well as frontend frameworks like React, Angular, or Vue.js. - Strong knowledge of cloud platforms (AWS, GCP, or Azure) and deploying scalable applications. - Demonstrated ability to work autonomously and in collaborative, agile teams, with experience in mentoring junior engineers or leading small project teams being a plus. At Calfus, we value our employees and offer a comprehensive benefits package that includes medical, group, and parental insurance, along with gratuity and provident fund options. Additionally, we prioritize employee wellness and provide birthday leave as a valued benefit. Calfus is an Equal Opportunity Employer, committed to fostering diversity and creating an inclusive workplace where individuals from all backgrounds, identities, and experiences have the opportunity to thrive. We welcome applicants from all walks of life!,

We are looking for a Software Developer with strong skills in Python, particularly in the field of Natural Language Processing (NLP). The ideal candidate must have a minimum of 3-7 years of relevant experience. One of the primary responsibilities will be to work on core problems and develop algorithms from scratch. Additionally, the candidate should have the ability to seamlessly integrate into ongoing projects, understand existing codes and algorithms, and contribute effectively. The candidate should have expertise in NLP application areas such as Sentiment Analysis, Document Classification, Question-Answer Matching, Text Summarization, and Topic Modeling. It is essential that the candidate has successfully trained and deployed at least one Machine Learning / Deep Learning model for the NLP domain. Proficiency in web scraping will be considered a significant advantage. Apart from technical skills, the candidate must possess strong interpersonal and communication skills. They should be able to engage with customers to solve business problems using AI and identify opportunities to embed AI/ML services into enterprise architecture seamlessly. Keeping up-to-date with the latest technological advancements in the fields of AI, ML, Computer Vision, and NLP is crucial for this role. This position is based in Pune and requires a proactive individual who is passionate about leveraging AI technologies to drive innovation and solve real-world challenges.,

As a Data Scientist Lead-GenAI at Your Partner, a strategic technology partner specializing in AI solutions, you will be responsible for developing and deploying machine learning models and NLP solutions. With 8 to 10 years of experience, you will play a key role in optimizing performance for GenAI applications and collaborating with cross-functional teams to deliver AI-driven insights. Your expertise in Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL) will be essential in driving the success of our projects. Proficiency in Python and NLP libraries such as NLTK, spaCy, TextBlob, TensorFlow, PyTorch, and Hugging Face is required. Experience with pre-trained models like BERT, GPT-3, and Transformers, as well as text preprocessing techniques including tokenization, part-of-speech tagging, lemmatization, stemming, and named entity recognition, will be highly valued. As a key member of our team, you will be expected to stay updated with the latest advancements in NLP technologies and play a crucial role in the growth and transformation of businesses. Your role will involve handling NLP tasks such as sentiment analysis, text classification, and entity recognition, while also focusing on effective stakeholder management and people leadership. Join us in changing how AI/ML is approached in the service sector and delivering outcomes that matter. Your contributions will enable businesses to grow, transform, and achieve their objectives, ultimately increasing profit and delivering improved value for customers.,

You are an experienced Senior Full Stack Engineer with a strong interest in AI-driven technologies, looking to join a dynamic team. Your main responsibilities will include designing, developing, and maintaining scalable web applications that integrate large language models (LLMs) and AI agents into both frontend and backend systems. Collaboration with product managers, designers, data scientists, and fellow engineers is essential to deliver innovative, high-quality solutions leveraging the latest advances in artificial intelligence. The company you will be working for is a leading AI product company, focused on revolutionizing user experiences through cutting-edge solutions like AI Universal Search, last-mile navigation, and contextual guidance. Their technology has delivered impressive results, including a 70% reduction in support ticket volume, a +30% boost in product adoption, higher conversions, and improved Net Promoter Scores (NPS). Your key responsibilities will include full stack development, AI & LLM integration, API development, database management, collaboration with stakeholders, code review & testing, mentorship of junior engineers, and continuous improvement in adopting emerging AI technologies and best practices. In terms of technical skills, you should have proficiency in frontend frameworks like ReactJS, strong backend development experience with Node.js and Python, hands-on experience integrating large language models and AI technologies, familiarity with RESTful APIs, GraphQL, microservices architecture, relational and NoSQL databases, cloud platforms, DevOps practices, version control systems, and CI/CD pipelines. Soft skills required for this role include excellent problem-solving and analytical skills, strong communication and collaboration abilities, and the ability to work independently and manage multiple priorities in a fast-paced environment. Preferred qualifications include experience with containerization technologies like Docker and Kubernetes, knowledge of security best practices for web and AI applications, familiarity with automated testing frameworks and tools, and understanding of prompt engineering and multi-agent orchestration.,

As a Senior Full Stack Engineer at our modern Digital Adoption and Execution Platform, you will play a crucial role in designing, developing, and maintaining scalable web applications that incorporate large language models (LLMs) and AI agents. Your responsibilities will include collaborating with cross-functional teams to deliver innovative solutions that leverage the latest advancements in artificial intelligence technology. Your key responsibilities will involve full stack development, AI and LLM integration, API development, database management, collaboration with stakeholders, code review and testing, mentorship, and continuous improvement. You will be expected to have a strong technical background with expertise in frontend frameworks like React JS, backend development using Node.js and Python, integrating AI technologies, working with RESTful APIs, GraphQL, relational and NoSQL databases, cloud platforms, version control systems, and CI/CD pipelines. In addition to your technical skills, you should possess soft skills such as excellent problem-solving abilities, effective communication, collaboration skills, and the capability to work independently in a fast-paced environment. Preferred qualifications include experience with containerization technologies, knowledge of security best practices, familiarity with automated testing frameworks, and an understanding of multi-agent orchestration. If you are passionate about AI-driven technologies and looking to work in a dynamic environment where you can contribute to cutting-edge solutions, we invite you to join our team as a Senior Full Stack Engineer and be part of our journey towards revolutionizing user adoption and onboarding experiences in the SaaS industry.,

You are an experienced Senior Full Stack Engineer with a keen interest in AI-driven technologies, ready to join a dynamic team dedicated to designing, developing, and maintaining scalable web applications. Your role will involve integrating large language models (LLMs) and AI agents into both frontend and backend systems to deliver innovative, high-quality solutions that leverage the latest advances in artificial intelligence. You will collaborate with product managers, designers, data scientists, and fellow engineers to drive faster time-to-value across product suites. Your responsibilities will include designing, developing, and maintaining robust web applications with seamless integration between frontend and backend components. You will also integrate large language models and AI agents to enhance functionality, automation, and user experience. Building and maintaining efficient RESTful APIs and/or GraphQL endpoints for AI-powered features and services will be crucial. In addition, you will design and manage both relational and NoSQL databases to support AI-driven data workflows, while working closely with frontend developers, data scientists, and other stakeholders to deliver innovative, AI-centric solutions. Conducting code reviews, writing unit and integration tests, and ensuring code quality and performance will be part of your routine. You will also mentor junior engineers, sharing knowledge on AI integration, best practices, and modern development tools. Continuous improvement is key, so staying updated with emerging AI technologies, frameworks, and industry trends to drive the adoption of best practices is essential. As a qualified candidate, you should have at least 5 years of experience in full stack web development, proficiency in frontend frameworks like React JS, and strong backend development experience with Node.js and Python. Hands-on experience integrating large language models such as GPT-3 and BERT, familiarity with RESTful APIs, GraphQL, and microservices architecture, and a solid understanding of relational and NoSQL databases are required. Additionally, experience with cloud platforms (AWS, Azure, or GCP), DevOps practices, version control systems like Git, and CI/CD pipelines will be beneficial. Your soft skills should include excellent problem-solving and analytical abilities, strong communication and collaboration skills, and the capability to work independently while managing multiple priorities in a fast-paced environment. Preferred qualifications include experience with containerization technologies like Docker and Kubernetes, knowledge of security best practices for web and AI applications, familiarity with automated testing frameworks and tools, and an understanding of prompt engineering and multi-agent orchestration.,

As a Senior AI/ML Engineer specializing in Python/AI-ML, you will be responsible for developing and implementing AI/ML models using Python. Your expertise in Keras and Pandas will be essential for model development. Additionally, you will work with Generative AI and Large Language Models like GPT-3 and Transformers. Your role will involve building and managing data pipelines using technologies such as Kafka and big data platforms. Experience in Time Series modeling and knowledge of cloud platforms like AWS, Azure, or GCP for deployment and performance optimization will be crucial. Familiarity with Aurora DB and ELK stack will also be beneficial. You should be able to create reusable ML components for scalable systems and possess excellent communication skills for collaborating with cross-functional teams. Exposure to GANs, synthetic data generation techniques, model compliance, and performance benchmarking will be considered advantageous. Mentoring junior developers and understanding model observability and monitoring tools are desirable qualities. With at least 5 years of hands-on experience in AI, Machine Learning, and Generative AI, you should have strong programming skills in Python, Keras, Pandas, and FastAPI. Familiarity with advanced ML models like LangChain, GPT-3, GANs, Transformers, and analytical models such as Time Series Forecasting and Predictive Modelling is required. Knowledge of databases like ChromaDB/Pinecone will be an added advantage. This role at UST, a global digital transformation solutions provider, offers the opportunity to work with cutting-edge technologies and make a real impact through transformation. Join our team of over 30,000 employees in 30 countries to innovate and build for boundless impact, touching billions of lives in the process.,

You are looking for a Lead AI Engineer with at least 8 years of experience to join UST at Trivandrum. As a Lead AI Engineer, you will be responsible for designing and implementing end-to-end AI/ML solutions using Python and deep learning frameworks like Keras. Your role will involve working with Generative AI and LLM architectures such as GPT-3 and BERT, as well as leading AI/ML teams and mentoring junior engineers. Your key responsibilities will include developing data pipelines and infrastructure using tools like Kafka, Big Data tools, Aurora DB, and ELK Stack. You will also be expected to deploy and optimize ML models on cloud platforms such as AWS, Azure, or GCP. Your expertise in Time Series Forecasting, Predictive Analytics, and Deep Learning will be crucial in translating business requirements into scalable AI solutions. In addition to hands-on experience in AI and Machine Learning, you should have a strong programming background in Python, Keras, and Pandas. Knowledge of advanced ML models like LangChain, GPT-3, and Transformers, as well as analytical models such as Time Series Forecasting, will be highly beneficial. Familiarity with databases like ChromaDB/Pinecone is also desired. Experience with PoC creation, model experimentation, and AI governance principles will be an advantage. You should also keep abreast of emerging trends and tools in the AI/ML space to evaluate their strategic fit and contribute to AI roadmap planning. UST is a global digital transformation solutions provider known for partnering with leading companies to drive real impact through innovation. With a workforce of over 30,000 employees in 30 countries, UST is committed to embedding innovation and agility into its clients" organizations, touching billions of lives in the process.,