The Role The ideal candidate for this role will be an innovative self-starter. You will be an AI expert with experience in making architectural tradeoffs to transform AI performance for a variety of use cases. You will collaborate with internal and external development engineers (architecture, hardware, validation, software services). You will contribute to development, support device characterization and benchmarking : Proficiency in Large Models & Deep Neural Networks. Hands-on experience in working with large models & deep neural networks. Expertise in LLMs with working knowledge of large language models (LLMs). Extensive experience in System platform Architecture. Experience in Development Preferable for memory/storage/ any embedded system. In depth knowledge and extensive experience in dealing with Standardizations/Technical Papers/Patents. Extensive experience with C/C++ and Python programming. Develop and fine-tune LLMs (GPT, Llama, Mistral, Falcon, Claude, etc.) for domain-specific applications. Implement RAG pipelines using LlamaIndex, LangGraph, and vector databases (FAISS, Pinecone, Weaviate, ChromaDB) to enhance response accuracy. Build AI-powered chatbots and autonomous agents using LangGraph, CrewAI, LlamaIndex, and OpenAI APIs. Optimize and deploy generative AI models for real-time inference using cloud platforms (AWS, GCP, Azure) and MLOps tools (Docker, Kubernetes, MLflow). Fine-tune models using LoRA, QLoRA, PEFT, and RLHF to improve efficiency and personalization. Develop AI-driven workflows for structured reasoning and decision-making using CrewAI and LangGraph. Integrate multi-modal AI models (text, image, speech) into enterprise solutions. Implement memory and retrieval strategies for LLM-based systems using vector search and caching techniques. Ensure AI models follow ethical AI guidelines, bias mitigation, and security best : Tech in Computer Science, Electrical Engineering. 8 to 10 Years of experience in relevant domain. Strong analytical & abstract thinking ability as well as technical communication skills. Able to work independently and perform in fast paced environment. Ability to troubleshoot and debug complex issues. Working Knowledge on Device Driver is desirable. Prior experience in working with Skills : Languages & Frameworks : Proficiency in Python, PyTorch, TensorFlow, JAX (ref:hirist.tech) Show more Show less

Job Description We are seeking a talented Computer Vision Engineer with strong expertise in microservice deployment architecture to join our team. In this role, you will be responsible for developing and deploying computer vision models to analyze retail surveillance footage for use cases such as theft detection, employee efficiency monitoring, and store traffic analysis. Responsibilities You will work on designing and implementing scalable, cloud-based microservices to deliver real-time and post-event analytics to improve retail Responsibilities : Develop computer vision models : Build, train, and optimize deep learning models to analyze surveillance footage for detecting theft, monitoring employee productivity, tracking store busy hours, and other relevant use cases. Microservice architecture : Design and deploy scalable microservice-based solutions that allow seamless integration of computer vision models into cloud or on-premise environments. Data processing pipelines : Develop data pipelines to process real-time and batch video data streams, ensuring efficient extraction, transformation, and loading (ETL) of video data. Integrate with existing systems : Collaborate with backend and frontend engineers to integrate computer vision services with existing retail systems such as POS, inventory management, and employee scheduling. Performance optimization : Fine-tune models for high accuracy and real-time inference on edge devices or cloud infrastructure, optimizing for latency, power consumption, and resource constraints. Monitor and improve : Continuously monitor model performance in production environments, identify potential issues, and implement improvements to accuracy and efficiency. Security and privacy : Ensure compliance with industry standards for security and data privacy, particularly regarding the handling of video footage and sensitive : 5+ years of proven experience in computer vision, including object detection, action recognition, and multi-object tracking, preferably in retail or surveillance applications. Hands-on experience with microservices deployment on cloud platforms (e.g., AWS, GCP, Azure) using Docker, Kubernetes, or similar technologies. Experience with real-time video analytics, including working with large-scale video data and camera Skills : Proficiency in programming languages like Python, C++, or Java. Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) for developing computer vision models. Strong understanding of microservice architecture, REST APIs, and serverless computing. Knowledge of database systems (SQL, NoSQL), message queues (Kafka, RabbitMQ), and container orchestration (Kubernetes). Familiarity with edge computing and hardware acceleration (e.g., GPUs, TPUs) for running inference on embedded Qualifications : Experience with deploying models to edge devices (NVIDIA Jetson, Coral, etc.) Understanding of retail operations and common challenges in surveillance. Knowledge of data privacy regulations such as GDPR or Skills : Strong analytical and problem-solving skills. Ability to work independently and in cross-functional teams. Excellent communication skills to convey technical concepts to non-technical : Competitive salary and stock options. Health insurance. If you're passionate about creating cutting-edge computer vision solutions and deploying them at scale to transform retail operations, wed love to hear from you! Apply Now. (ref:hirist.tech) Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Cloud and Python Developer for ML - Senior 1/2 EY GDS Consulting digital engineering, is seeking an experienced Azure Cloud and Python Developer for ML to join our Emerging Technologies team in DET, GDS. This role presents an exciting opportunity to contribute to innovative projects and be a key player in shaping our technological advancements. The opportunity We are seeking an experienced Azure Cloud and Python Developer with 6-8 years of hands-on experience in machine learning (ML) development. This role involves developing and deploying ML models on the Azure cloud platform, designing efficient data pipelines, and collaborating with data scientists and stakeholders to deliver technical solutions. Your Key Responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language, ensuring scalability and efficiency. Design and implement scalable and efficient data pipelines for model training and inference, optimizing data processing workflows. Collaborate closely with data scientists and business stakeholders to understand requirements, translate them into technical solutions, and deliver high-quality ML solutions. Implement best practices for ML development, including version control using tools like Git, testing methodologies, and documentation to ensure reproducibility and maintainability. Design and optimize ML algorithms and data structures for performance and accuracy, leveraging Azure cloud services and Python libraries such as TensorFlow, PyTorch, or scikit-learn. Monitor and evaluate model performance, conduct experiments, and iterate on models to improve predictive accuracy and business outcomes. Work on feature engineering, data preprocessing, and feature selection techniques to enhance model performance and interpretability. Collaborate with DevOps teams to deploy ML models into production environments, ensuring seamless integration and continuous monitoring. Stay updated with the latest advancements in ML, Azure cloud services, and Python programming, and apply them to enhance ML capabilities and efficiency. Provide technical guidance and mentorship to junior developers and data scientists, fostering a culture of continuous learning and innovation. Skills And Attributes Soft Skills Bachelor's or master's degree in computer science, data science, or related field, with a strong foundation in ML algorithms, statistics, and programming concepts. Minimum 6-8 years of hands-on experience in developing and deploying ML models on Azure cloud platform using Python programming language. Expertise in designing and implementing scalable data pipelines for ML model training and inference, utilizing Azure Data Factory, Azure Databricks, or similar tools. Proficiency in Python programming language, including libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy for ML model development and data manipulation. Strong understanding of ML model evaluation metrics, feature engineering techniques, and data preprocessing methods for structured and unstructured data. Experience with cloud-native technologies and services, including Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage. Familiarity with DevOps practices, CI/CD pipelines, and containerization tools like Docker for ML model deployment and automation. Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to troubleshoot and debug complex ML algorithms and systems. Effective communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders and collaborate in cross-functional teams. Proactive and self-motivated attitude, with a passion for learning new technologies and staying updated with industry trends in ML, cloud computing, and software development. Strong organizational skills and the ability to manage multiple projects, prioritize tasks, and deliver results within project timelines and specifications. Business acumen and understanding of the impact of ML solutions on business operations and decision-making processes, with a focus on delivering value and driving business outcomes. Collaboration and teamwork skills, with the ability to work effectively in a global, diverse, and distributed team environment, fostering a culture of innovation and continuous improvement.. To qualify for the role, you must have A bachelor's or master's degree in computer science, data science, or related field, along with a minimum of 6-8 years of experience in ML development and Azure cloud platform expertise. Strong communication skills and consulting experience are highly desirable for this position. Ideally, you’ll also have Analytical ability to manage complex ML projects and prioritize tasks efficiently. Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills. Familiarity with other cloud platforms and technologies such as AWS, Google Cloud Platform (GCP), or Kubernetes is a plus. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Cloud and Python Developer for ML - Senior 1/2 EY GDS Consulting digital engineering, is seeking an experienced Azure Cloud and Python Developer for ML to join our Emerging Technologies team in DET, GDS. This role presents an exciting opportunity to contribute to innovative projects and be a key player in shaping our technological advancements. The opportunity We are seeking an experienced Azure Cloud and Python Developer with 6-8 years of hands-on experience in machine learning (ML) development. This role involves developing and deploying ML models on the Azure cloud platform, designing efficient data pipelines, and collaborating with data scientists and stakeholders to deliver technical solutions. Your Key Responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language, ensuring scalability and efficiency. Design and implement scalable and efficient data pipelines for model training and inference, optimizing data processing workflows. Collaborate closely with data scientists and business stakeholders to understand requirements, translate them into technical solutions, and deliver high-quality ML solutions. Implement best practices for ML development, including version control using tools like Git, testing methodologies, and documentation to ensure reproducibility and maintainability. Design and optimize ML algorithms and data structures for performance and accuracy, leveraging Azure cloud services and Python libraries such as TensorFlow, PyTorch, or scikit-learn. Monitor and evaluate model performance, conduct experiments, and iterate on models to improve predictive accuracy and business outcomes. Work on feature engineering, data preprocessing, and feature selection techniques to enhance model performance and interpretability. Collaborate with DevOps teams to deploy ML models into production environments, ensuring seamless integration and continuous monitoring. Stay updated with the latest advancements in ML, Azure cloud services, and Python programming, and apply them to enhance ML capabilities and efficiency. Provide technical guidance and mentorship to junior developers and data scientists, fostering a culture of continuous learning and innovation. Skills And Attributes Soft Skills Bachelor's or master's degree in computer science, data science, or related field, with a strong foundation in ML algorithms, statistics, and programming concepts. Minimum 6-8 years of hands-on experience in developing and deploying ML models on Azure cloud platform using Python programming language. Expertise in designing and implementing scalable data pipelines for ML model training and inference, utilizing Azure Data Factory, Azure Databricks, or similar tools. Proficiency in Python programming language, including libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy for ML model development and data manipulation. Strong understanding of ML model evaluation metrics, feature engineering techniques, and data preprocessing methods for structured and unstructured data. Experience with cloud-native technologies and services, including Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage. Familiarity with DevOps practices, CI/CD pipelines, and containerization tools like Docker for ML model deployment and automation. Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to troubleshoot and debug complex ML algorithms and systems. Effective communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders and collaborate in cross-functional teams. Proactive and self-motivated attitude, with a passion for learning new technologies and staying updated with industry trends in ML, cloud computing, and software development. Strong organizational skills and the ability to manage multiple projects, prioritize tasks, and deliver results within project timelines and specifications. Business acumen and understanding of the impact of ML solutions on business operations and decision-making processes, with a focus on delivering value and driving business outcomes. Collaboration and teamwork skills, with the ability to work effectively in a global, diverse, and distributed team environment, fostering a culture of innovation and continuous improvement.. To qualify for the role, you must have A bachelor's or master's degree in computer science, data science, or related field, along with a minimum of 6-8 years of experience in ML development and Azure cloud platform expertise. Strong communication skills and consulting experience are highly desirable for this position. Ideally, you’ll also have Analytical ability to manage complex ML projects and prioritize tasks efficiently. Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills. Familiarity with other cloud platforms and technologies such as AWS, Google Cloud Platform (GCP), or Kubernetes is a plus. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Cloud and Python Developer for ML - Senior 1/2 EY GDS Consulting digital engineering, is seeking an experienced Azure Cloud and Python Developer for ML to join our Emerging Technologies team in DET, GDS. This role presents an exciting opportunity to contribute to innovative projects and be a key player in shaping our technological advancements. The opportunity We are seeking an experienced Azure Cloud and Python Developer with 6-8 years of hands-on experience in machine learning (ML) development. This role involves developing and deploying ML models on the Azure cloud platform, designing efficient data pipelines, and collaborating with data scientists and stakeholders to deliver technical solutions. Your Key Responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language, ensuring scalability and efficiency. Design and implement scalable and efficient data pipelines for model training and inference, optimizing data processing workflows. Collaborate closely with data scientists and business stakeholders to understand requirements, translate them into technical solutions, and deliver high-quality ML solutions. Implement best practices for ML development, including version control using tools like Git, testing methodologies, and documentation to ensure reproducibility and maintainability. Design and optimize ML algorithms and data structures for performance and accuracy, leveraging Azure cloud services and Python libraries such as TensorFlow, PyTorch, or scikit-learn. Monitor and evaluate model performance, conduct experiments, and iterate on models to improve predictive accuracy and business outcomes. Work on feature engineering, data preprocessing, and feature selection techniques to enhance model performance and interpretability. Collaborate with DevOps teams to deploy ML models into production environments, ensuring seamless integration and continuous monitoring. Stay updated with the latest advancements in ML, Azure cloud services, and Python programming, and apply them to enhance ML capabilities and efficiency. Provide technical guidance and mentorship to junior developers and data scientists, fostering a culture of continuous learning and innovation. Skills And Attributes Soft Skills Bachelor's or master's degree in computer science, data science, or related field, with a strong foundation in ML algorithms, statistics, and programming concepts. Minimum 6-8 years of hands-on experience in developing and deploying ML models on Azure cloud platform using Python programming language. Expertise in designing and implementing scalable data pipelines for ML model training and inference, utilizing Azure Data Factory, Azure Databricks, or similar tools. Proficiency in Python programming language, including libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy for ML model development and data manipulation. Strong understanding of ML model evaluation metrics, feature engineering techniques, and data preprocessing methods for structured and unstructured data. Experience with cloud-native technologies and services, including Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage. Familiarity with DevOps practices, CI/CD pipelines, and containerization tools like Docker for ML model deployment and automation. Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to troubleshoot and debug complex ML algorithms and systems. Effective communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders and collaborate in cross-functional teams. Proactive and self-motivated attitude, with a passion for learning new technologies and staying updated with industry trends in ML, cloud computing, and software development. Strong organizational skills and the ability to manage multiple projects, prioritize tasks, and deliver results within project timelines and specifications. Business acumen and understanding of the impact of ML solutions on business operations and decision-making processes, with a focus on delivering value and driving business outcomes. Collaboration and teamwork skills, with the ability to work effectively in a global, diverse, and distributed team environment, fostering a culture of innovation and continuous improvement.. To qualify for the role, you must have A bachelor's or master's degree in computer science, data science, or related field, along with a minimum of 6-8 years of experience in ML development and Azure cloud platform expertise. Strong communication skills and consulting experience are highly desirable for this position. Ideally, you’ll also have Analytical ability to manage complex ML projects and prioritize tasks efficiently. Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills. Familiarity with other cloud platforms and technologies such as AWS, Google Cloud Platform (GCP), or Kubernetes is a plus. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 15 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities: - Expected to be a Subject Matter Expert with deep knowledge and experience. - Should have influencing and advisory skills. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities. - Mentor junior professionals to foster their growth and development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Experience with cloud-based AI services and deployment strategies. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI solutions. Additional Information: - The candidate should have minimum 15 years of experience in Large Language Models. - This position is based at our Gurugram office. - A 15 years full time education is required. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Cloud and Python Developer for ML - Senior 1/2 EY GDS Consulting digital engineering, is seeking an experienced Azure Cloud and Python Developer for ML to join our Emerging Technologies team in DET, GDS. This role presents an exciting opportunity to contribute to innovative projects and be a key player in shaping our technological advancements. The opportunity We are seeking an experienced Azure Cloud and Python Developer with 6-8 years of hands-on experience in machine learning (ML) development. This role involves developing and deploying ML models on the Azure cloud platform, designing efficient data pipelines, and collaborating with data scientists and stakeholders to deliver technical solutions. Your Key Responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language, ensuring scalability and efficiency. Design and implement scalable and efficient data pipelines for model training and inference, optimizing data processing workflows. Collaborate closely with data scientists and business stakeholders to understand requirements, translate them into technical solutions, and deliver high-quality ML solutions. Implement best practices for ML development, including version control using tools like Git, testing methodologies, and documentation to ensure reproducibility and maintainability. Design and optimize ML algorithms and data structures for performance and accuracy, leveraging Azure cloud services and Python libraries such as TensorFlow, PyTorch, or scikit-learn. Monitor and evaluate model performance, conduct experiments, and iterate on models to improve predictive accuracy and business outcomes. Work on feature engineering, data preprocessing, and feature selection techniques to enhance model performance and interpretability. Collaborate with DevOps teams to deploy ML models into production environments, ensuring seamless integration and continuous monitoring. Stay updated with the latest advancements in ML, Azure cloud services, and Python programming, and apply them to enhance ML capabilities and efficiency. Provide technical guidance and mentorship to junior developers and data scientists, fostering a culture of continuous learning and innovation. Skills And Attributes Soft Skills Bachelor's or master's degree in computer science, data science, or related field, with a strong foundation in ML algorithms, statistics, and programming concepts. Minimum 6-8 years of hands-on experience in developing and deploying ML models on Azure cloud platform using Python programming language. Expertise in designing and implementing scalable data pipelines for ML model training and inference, utilizing Azure Data Factory, Azure Databricks, or similar tools. Proficiency in Python programming language, including libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy for ML model development and data manipulation. Strong understanding of ML model evaluation metrics, feature engineering techniques, and data preprocessing methods for structured and unstructured data. Experience with cloud-native technologies and services, including Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage. Familiarity with DevOps practices, CI/CD pipelines, and containerization tools like Docker for ML model deployment and automation. Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to troubleshoot and debug complex ML algorithms and systems. Effective communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders and collaborate in cross-functional teams. Proactive and self-motivated attitude, with a passion for learning new technologies and staying updated with industry trends in ML, cloud computing, and software development. Strong organizational skills and the ability to manage multiple projects, prioritize tasks, and deliver results within project timelines and specifications. Business acumen and understanding of the impact of ML solutions on business operations and decision-making processes, with a focus on delivering value and driving business outcomes. Collaboration and teamwork skills, with the ability to work effectively in a global, diverse, and distributed team environment, fostering a culture of innovation and continuous improvement.. To qualify for the role, you must have A bachelor's or master's degree in computer science, data science, or related field, along with a minimum of 6-8 years of experience in ML development and Azure cloud platform expertise. Strong communication skills and consulting experience are highly desirable for this position. Ideally, you’ll also have Analytical ability to manage complex ML projects and prioritize tasks efficiently. Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills. Familiarity with other cloud platforms and technologies such as AWS, Google Cloud Platform (GCP), or Kubernetes is a plus. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, 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. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Show more Show less

Roles : Service Now UI Developers Note : No Admin or ITMS/CMDB candidates, the candidates have to be developers and have strong Service Now development experience. Any Agentic knowledge is a plus. Location : Hyderabad Key Responsibilities: Lead the design and development of scalable applications and ServiceNow solutions. Collaborate with stakeholders to define technical requirements and architectural decisions. Guide and mentor development teams, fostering best practices in clean code, design patterns, and secure coding. Perform code reviews and provide constructive feedback to ensure quality and consistency. Drive DevOps practices such as CI/CD, automated testing, and deployment pipelines. Oversee integrations between ServiceNow and other enterprise systems. Lead and contribute to AI/ML initiatives , including integrating AI services into existing platforms and developing intelligent automation solutions. Ensure performance, security, and compliance standards are met. Stay updated with emerging technologies and trends to inform future development. Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 8+ years of experience in software development, with 2+ years in a lead or senior role. Proven experience with ServiceNow development (Workflows, Catalogs, IntegrationHub, CMDB, etc.). Strong knowledge of JavaScript (ES6+) and ServiceNow scripting APIs. Solid understanding of DevOps principles , including containerization (Docker), CI/CD tools (e.g., Jenkins, GitHub Actions), and Infrastructure as Code. Experience in software design, architecture, and leading development teams. Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, OpenAI, Azure Cognitive Services, etc.). Expertise in various architectural models, including domain-driven design, microservices-architecture, event-driven-architecture, and micro-frontend-architecture. Excellent communication skills and the ability to collaborate across cross-functional teams. Preferred Qualifications: ServiceNow certifications (CSA, CAD, CIS-ITSM, etc.). Experience with other modern web technologies (e.g., React, Node.js). Familiarity with agile/scrum methodologies. Experience implementing AI-driven workflows or chatbots within enterprise platforms. Thanks and Regards Mani - Team Lead HR Recruiter Email: mani.t@infowaygroup.com Cell: +91-9513618504 WhatsApp: +91-9513618504 Info Way Solutions LLC “Email is the best way to reach me” Job Type: Contractual / Temporary Contract length: 12 months Pay: ₹1,408,910.62 - ₹1,536,143.23 per year Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Morning shift Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Required) Experience: Software development: 8 years (Preferred) lead or senior: 2 years (Preferred) ServiceNow development: 5 years (Preferred) JavaScript: 4 years (Preferred) DevOps principles: 5 years (Preferred) AI/ML tools and frameworks: 4 years (Preferred) React: 5 years (Preferred) Node.js: 4 years (Preferred) License/Certification: ServiceNow certifications (Preferred) Work Location: In person

About The Role You will have a vital role in developing complex solutions and deploying transformative data products. You will work in a team responsible for building Analytical insights, recommendation engines and boutique algorithms. You will identify new areas to apply data science to improve business performance. As a digital marketplace with millions of reviews and insights from our clients, there are limitless opportunities to apply your skills in data science. As a member of the Gartner family, you will have access to industry-leading research on analytics and data science solutions to help you deliver more engaging and relevant content for software buyers and improve the volume and quality of buyer leads for software sellers. What You Will Do Design and implement robust web-based applications and services using technologies such as Python and React. Analyze and review business requirements to ensure alignment with technical solutions. Engage in architecture and technical design discussions to enhance system scalability and performance. Conduct and participate in code reviews, peer inspections, and the creation of technical design specifications. Document and review detailed designs to facilitate clear communication and understanding among team members. Stay informed about the latest advancements in web technologies and distributed systems to continuously improve application design and implementation. Collaborate with cross-functional teams to ensure seamless integration of new features and enhancements into existing systems. Communicate technical insights and solutions effectively to stakeholders through reports and presentations. What You Will Need Looking for 2-4 years of experience in software programming and/or data warehousing, in an Agile Scrum environment. Must Have Strong Experience in developing backend services using Python framework. Building web applications using React Proficiency in Python and familiarity with libraries such as Spacy, Camelot, Scikit-learn, and TensorFlow. Knowledge and experience with distributed data stores like Cassandra. Experience with messaging systems like Kafka Experience with version control systems (e.g., Git or SVN). Who You Are Bachelor’s degree in computer science or information systems, or equivalent experience in the field of software development. A strong, passionate, empathetic engineer who is able to work collaboratively with senior leadership, peers, and project team to deliver solutions on time, within budget, while maintaining high morale. Self-starter, with a demonstrated ability to learn beyond formal training with a strong aptitude for delivering quality products Ability to understand client expectations and to resolve issues that may affect delivery Experience working with a distributed team Strong knowledge of project tracking software like Jira Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment. Don’t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles. Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work . What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com . Job Requisition ID:99809 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. Show more Show less

About the Role: We are looking for a skilled Data Scientist to analyze large amounts of raw information to find patterns that will help improve our business. You will model complex problems and use your findings to develop data-driven solutions. Key Responsibilities: Collect, clean, and process large datasets from various sources Develop predictive models and machine learning algorithms Interpret data and analyze results using statistical techniques Visualize data insights for technical and non-technical audiences Collaborate with cross-functional teams to understand business needs and develop data solutions Monitor and optimize model performance Stay updated with the latest industry trends and techniques in data science Qualifications: Bachelor’s, Master’s, or Ph.D. in Data Science, Statistics, Computer Science, or related field Proven experience in data analysis, modeling, and machine learning Proficiency in programming languages such as Python, R, or SQL Experience with data visualization tools (e.g., Tableau, Power BI) Strong analytical and problem-solving skills Excellent communication skills Preferred Skills: Knowledge of big data technologies (e.g., Hadoop, Spark) Experience with cloud platforms AWS Familiarity with deep learning frameworks (TensorFlow, PyTorch) Show more Show less

Job Description Roles & responsibilities Here are some of the key responsibilities of manager in Gen AI and ML Specialist : Team Management: You will be responsible for managing a team of AI and ML specialists, providing guidance, support, and mentoring to ensure their professional growth and development. Project Management: You will oversee the planning, execution, and delivery of AI and ML projects, ensuring that they are completed within budget and timeline constraints. This includes defining project goals, allocating resources, and managing risks. Strategy Development: You will collaborate with senior management to define the AI and ML strategy for the organization, identifying areas where AI and ML technologies can be applied to drive business growth and efficiency. Technical Expertise: As a manager, you should have a deep understanding of AI and ML technologies, algorithms, and frameworks. You will provide technical guidance to your team, review their work, and ensure that the best practices and industry standards are followed. Stakeholder Management: You will collaborate with various stakeholders, such as business leaders, product managers, and data scientists, to understand their requirements and translate them into AI and ML solutions. Effective communication and relationship-building skills are crucial for successful stakeholder management. Talent Acquisition: You may be involved in the recruitment and hiring process, identifying and attracting top AI and ML talent to join your team. This includes conducting interviews, evaluating candidates' technical skills, and assessing their fit within the organization. Continuous Learning: AI and ML technologies are rapidly evolving fields, and as a manager, you should stay updated with the latest advancements and industry trends. You should encourage continuous learning within your team and promote a culture of innovation and knowledge sharing. Performance Evaluation: You will be responsible for evaluating the performance of your team members, providing constructive feedback, and identifying areas for improvement. You may also be involved in performance appraisals and career development discussions. Collaboration and Cross-functional Coordination: AI and ML projects often require collaboration with other teams, such as data engineering, software development, and business analytics. You will need to coordinate with these teams to ensure smooth integration and deployment of AI and ML solutions. Ethics and Compliance: AI and ML technologies raise ethical and legal considerations. As a manager, you should ensure that your team adheres to ethical guidelines and complies with relevant regulations, such as data privacy and security laws. Overall, your role as a Gen AI and ML Specialist Manager is to lead and guide your team in leveraging AI and ML technologies to solve complex problems, drive innovation, and deliver value to the organization. Mandatory technical & functional skills The ideal candidate will have a strong background in natural language processing (NLP), Gen AI, deep learning, and machine learning. This role will be instrumental in designing, developing, and implementing AI models for a variety of generative tasks, working in a cross-functional team. Proficiency in Python or R and machine learning frameworks like TensorFlow or PyTorch is crucial. Cloud computing experience, particularly with Google/Azure Cloud Platform, is essential. With strong foundation in understating Data Analytics Services offered by Azure (Synapse) In depth knowledge on ML and NLP algorithms, LLMs ( BERT, GEPT, etc.) and also hands-on LangChain/LangGraph/LangSmith or LlamaIndex or LlamaCloud, OpenAI LLM Libraries, Vector DBs (Chroma DB, FAISS, etc) Strong oral and written communication skills with the ability to communicate technical and non-technical concepts to peers and stakeholders Preferred Technical & Functional Skills Experience in solutioning and delivering enterprise level AI/ML projects Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models (PALM2, GPT4, LLAMA etc ) or SLM’s Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables, not just individual tasks Understand business objectives and functions to support data needs #KGS Responsibilities Roles & responsibilities Here are some of the key responsibilities of manager in Gen AI and ML Specialist : Team Management: You will be responsible for managing a team of AI and ML specialists, providing guidance, support, and mentoring to ensure their professional growth and development. Project Management: You will oversee the planning, execution, and delivery of AI and ML projects, ensuring that they are completed within budget and timeline constraints. This includes defining project goals, allocating resources, and managing risks. Strategy Development: You will collaborate with senior management to define the AI and ML strategy for the organization, identifying areas where AI and ML technologies can be applied to drive business growth and efficiency. Technical Expertise: As a manager, you should have a deep understanding of AI and ML technologies, algorithms, and frameworks. You will provide technical guidance to your team, review their work, and ensure that the best practices and industry standards are followed. Stakeholder Management: You will collaborate with various stakeholders, such as business leaders, product managers, and data scientists, to understand their requirements and translate them into AI and ML solutions. Effective communication and relationship-building skills are crucial for successful stakeholder management. Talent Acquisition: You may be involved in the recruitment and hiring process, identifying and attracting top AI and ML talent to join your team. This includes conducting interviews, evaluating candidates' technical skills, and assessing their fit within the organization. Continuous Learning: AI and ML technologies are rapidly evolving fields, and as a manager, you should stay updated with the latest advancements and industry trends. You should encourage continuous learning within your team and promote a culture of innovation and knowledge sharing. Performance Evaluation: You will be responsible for evaluating the performance of your team members, providing constructive feedback, and identifying areas for improvement. You may also be involved in performance appraisals and career development discussions. Collaboration and Cross-functional Coordination: AI and ML projects often require collaboration with other teams, such as data engineering, software development, and business analytics. You will need to coordinate with these teams to ensure smooth integration and deployment of AI and ML solutions. Ethics and Compliance: AI and ML technologies raise ethical and legal considerations. As a manager, you should ensure that your team adheres to ethical guidelines and complies with relevant regulations, such as data privacy and security laws. Overall, your role as a Gen AI and ML Specialist Manager is to lead and guide your team in leveraging AI and ML technologies to solve complex problems, drive innovation, and deliver value to the organization. Mandatory technical & functional skills The ideal candidate will have a strong background in natural language processing (NLP), Gen AI, deep learning, and machine learning. This role will be instrumental in designing, developing, and implementing AI models for a variety of generative tasks, working in a cross-functional team. Proficiency in Python or R and machine learning frameworks like TensorFlow or PyTorch is crucial. Cloud computing experience, particularly with Google/Azure Cloud Platform, is essential. With strong foundation in understating Data Analytics Services offered by Azure (Synapse) In depth knowledge on ML and NLP algorithms, LLMs ( BERT, GEPT, etc.) and also hands-on LangChain/LangGraph/LangSmith or LlamaIndex or LlamaCloud, OpenAI LLM Libraries, Vector DBs (Chroma DB, FAISS, etc) Strong oral and written communication skills with the ability to communicate technical and non-technical concepts to peers and stakeholders Qualifications This role is for you if you have the below Educational Qualifications Bachelor's degree in Computer Science Work Experience 10+ Years of Experience Show more Show less

About the Job & Shakudo At Shakudo, we are building the world’s first operating system for data and AI. We use the term operating system in the truest sense of the word. Like iOS, Windows and Linux, Shakudo’s end-to-end OS offers ever-evolving, automatically operated, best-of-breed open-source components tailored to each business's unique needs. As we continue to scale, we are seeking a team of Technical Support Specialists to join Shakudo on a fully remote basis. In this role, you will be responsible for providing technical support for the Shakudo AI & Data Platform across multiple time zones, focusing on delivering high-quality service to our global customer base. You will play a key role in troubleshooting technical issues, providing platform support, and collaborating with engineering teams to ensure seamless customer experiences. What You’ll Do Customer Interaction & Troubleshooting : Respond promptly to customer queries related to Shakudo's AI & Data Platform, including platform setup, deployment, AI/ML workflows, data pipelines, integrations, and system performance. Documentation & Escalation : Maintain accurate records of customer issues and troubleshooting steps. Escalate issues to internal teams as necessary, ensuring smooth transitions and timely resolution. Communication & Collaboration : Provide clear, concise, and professional technical support via written communication platforms (e.g., Microsoft Teams, Slack, and Email). Collaborate with engineering and product teams to resolve recurring issues. Platform Areas & Technologies : Specialize in several areas of the Shakudo platform, such as platform deployment, Kubernetes, Docker, AI/ML workflows (MLflow, OpenAI, LLM tools), data pipelines, storage (Postgres, NoSQL, MinIO), integrations, and system performance monitoring (Prometheus, Grafana). What You’ll Bring 1-3 years of experience in technical support, IT HelpDesk, or related customer support roles, with a strong understanding of AI, DevOps, or cloud-native technologies. Proficiency in troubleshooting containerized environments using Kubernetes and Docker. Experience with AI/ML workflows, including familiarity with frameworks like TensorFlow, PyTorch, MLflow, and tools for API integrations. Experience in providing technical support in cloud environments (e.g., AWS, Azure). Excellent written communication skills in English, with the ability to explain complex technical concepts clearly. Proactive approach to problem-solving and customer support, with strong attention to detail. Familiarity with tools like Zendesk or ServiceNow for ticketing and customer issue tracking. Experience in maintaining and improving technical documentation. Schedule Shift 9am-5pm EST hours Shakudo is an equal opportunity employer and encourages candidates of all backgrounds to apply. We foster diversity and inclusivity and welcome applications from a broad range of backgrounds and experiences. Show more Show less

Company Description Assent is the leading solution for supply chain sustainability tailored for the world’s top-tier, sustainability-driven manufacturers. Hidden risks riddle supply chains, many of which weren't built with sustainability in mind. That's where we step in. With insights from experts, Assent is the tool manufacturers trust for comprehensive sustainability. We are proud to announce that Assent has crossed the US$100M ARR milestone, granting us Centaur Status. This accomplishment, reached just 8 years following our Series A, makes us the first and only Certified B Corporation in North America's SaaS sustainability industry to celebrate this milestone. Our journey from $5 million to US$100M ARR in just eight years has been marked by significant growth and achievements. With our $350 million US funding led by Vista Equity Partners, we're poised for even greater expansion and are on the lookout for outstanding team members to join our mission. Hybrid Work Model At Assent, we proudly embrace a remote-first work model, valuing the flexibility and autonomy it provides our team. We also acknowledge the intangible benefits of occasional in-person workdays. For team members situated within 50 kms/31 miles of our five global offices in Ottawa, Eldoret, Penang, Columbus, Pune and Amsterdam, you can expect to come into the office one day a week. Similarly, those near our co-working spaces in Nairobi and Toronto are encouraged to work onsite once a month. Job Description We are seeking a Senior Data Scientist with deep expertise in Natural Language Processing (NLP) and Large Language Model (LLM) fine-tuning to join our AI and Machine Learning team. This role is ideal for a highly skilled individual with a PhD or Masters in Machine Learning, AI, or a related field, coupled with industry experience in developing and deploying NLP-driven AI solutions. As a Senior Data Scientist, you will lead the development, tuning, and maintenance of cutting-edge AI models, mentor junior data scientists, and drive innovation in AI-powered solutions. You will collaborate closely with cross-functional teams, transforming complex business challenges into intelligent, data-driven products and solutions. Additionally, you will play a key role in analyzing large-scale datasets, uncovering insights, and ensuring data-driven decision-making in our AI initiatives. The Senior Data Scientist is a data-oriented, out-of-the-box thinker who is passionate about data, machine learning, understanding the business, and driving business value. Lead the research, development, and fine-tuning of state-of-the-art LLMs and NLP models for real-world applications. Perform in-depth data analysis to extract actionable insights, improve model performance, and inform AI strategy. Design, implement, and evaluate LLM based systems to ensure model performance, efficiency, and scalability. Mentor and coach junior data scientists, fostering best practices in NLP, deep learning, and MLOps. Deploy and monitor models in production, ensuring robust performance, fairness, and explainability in AI applications. Stay ahead of advancements in NLP, generative AI, and ethical AI practices, incorporating them into our solutions. Ensure compliance with Responsible AI principles, aligning with industry standards and regulations such as the EU AI Act and Canada’s Voluntary Code of Conduct on Responsible AI. Collaborate with engineering and product teams to integrate AI-driven features into SaaS products. Be curious and not afraid to try unconventional ideas to find solutions to difficult problems Apply engineering principles to proactively identify issues, develop solutions, and recommend improvements Be self-motivated and highly proactive at exploring new technologies Find creative solutions to challenges involving data that is difficult to obtain, complex or ambiguous. Manage multiple concurrent projects, priorities and timelines Qualifications PhD (preferred) or Masters in Machine Learning, AI, NLP, or a related field, with a strong publication record in top-tier conferences and journals. Industry experience (2+ for PhD, 5+ for Masters) in building and deploying NLP/LLM solutions at scale. Proven ability to analyze large datasets, extract meaningful insights, and drive data-informed decision-making. Strong expertise in preparing data for fine-tuning and optimizing LLMs. Solid understanding of data engineering concepts, including data pipelines, feature engineering, and vector databases. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and NLP libraries (e.g., Hugging Face Transformers, spaCy). Solid working knowledge of AWS systems and services; comfort working with SageMaker, Bedrock, EC2, S3, Lambda, Terraform. Familiar with MLOps best practices, including model versioning, monitoring, and CI/CD pipelines. Excellent organizational skills and ability to manage multiple priorities and timelines Additional Information Life at Assent Wellness: We believe that you and your family’s well being is important. As a result, we offer vacation time that increases with tenure, comprehensive benefits packages (details vary by country), life leave days and more. Financial Benefits: It’s not all about the money – well, it’s a little about the money. We understand that financial health is important and we offer a competitive base salary, a corporate bonus program, retirement savings options and more. Life at Assent: There is purpose beyond your work. We provide our team members with flexible work options, volunteer days and opportunities to get involved in corporate giving initiatives. Lifelong Learning: At Assent, curiosity is not only valued but encouraged. You will receive professional development days that are available to you the day you start. At Assent, we are committed to growing and sustaining an environment where our team members feel included, valued, and heard. Our diversity and equal opportunity practices are guided and championed by our Diversity and Inclusion Working Group and our Employee Resource Groups (ERGs). Our commitment to diversity, equity and inclusion includes recruiting and retaining team members from diverse backgrounds and experiences, and fostering a culture of belonging where all team members are included, treated with dignity and respect, promoted on their merits, and placed in positions to contribute to business success. If you require assistance or accommodation throughout any part of the interview and selection process, please contact talent@assent.com and we will be happy to help. Show more Show less

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Key Responsibilities: Design, develop, test, and deploy scalable web applications using Python and related technologies. Build responsive and interactive user interfaces using HTML, CSS, and JavaScript frameworks. Develop and maintain automation scripts using Selenium for testing and data extraction. Integrate machine learning models into production environments. Collaborate with Stakeholders, and other developers to deliver high-quality products. Write clean, maintainable, and efficient code following best practices. Troubleshoot, debug, and upgrade existing systems. Participate in code reviews and contribute to team knowledge sharing. Required Skills & Qualifications: 2+ years of professional experience in Python full stack development. Proficiency in Python and frameworks such as Django or Flask. Strong front-end development skills with HTML, CSS, Node.JS and JavaScript (React.js or Vue.js is a plus). Experience with Selenium for automation and testing. Familiarity with Machine Learning concepts and libraries (e.g., scikit-learn, TensorFlow, or PyTorch). Experience with RESTful APIs and third-party integrations. Knowledge of version control systems like Git. Understanding of database systems (SQL and NoSQL). Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms (AWS, Azure, or GCP). Familiarity with containerization tools like Docker. Exposure to CI/CD pipelines and DevOps practices. Knowledge of Agile/Scrum methodologies. Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field.Minimum of 2+ years of experience as a Python Developer.Relevant certifications in Python development or related technologies are a plus. Additional Information Work from Office only Shift Timings: 4:00 pm - 1:00 am OR 6:00 pm - 3:00 am Show more Show less

Primary skill Gen AI developer Secondary skill Model hosting LLM knowledge. Ability to stay updated with the latest advancements in generative AI research and incorporate them into work. JD -Advanced programming knowledge, including mastery of programming languages such as Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. -Expertise in generative models such as generative adversarial networks (GANs) and variational autoencoders (VAEs). The candidate should be able to design, train, and optimize these models to generate high-quality, creative content. -Natural language processing (NLP) for text generation projects. This includes familiarity with techniques for text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. -Model hosting LLM knowledge -Ability to design and implement scalable and efficient AI systems. -Advanced knowledge of natural language processing for text generation tasks. -Familiarity with computer vision and image generation using AI. Akshay Ignore -Skills in data preprocessing and feature engineering for AI model training. -Strong understanding of neural network architectures and optimization techniques.-

We are seeking a Machine Learning Intern to join our team. You will be working on client facing projects, building POCs and writing technical blogs for our sites. This is a fully remote position, initially, it'll be a 3-month internship with the potential for extension or full-time offer based on performance. This is a paid internship at ₹15,000/month . This is an exciting opportunity to work in a dynamic environment and expand your knowledge in the field of AI development. This is a completely remote job, you will work on your own time. No micro-management, promise. You will be a learning a lot on the job, so don't worry if you do not meet all qualifications. As long as you can learn an adapt, this will be a good experience for you. Responsibilities Learn to use techniques like LoRA, FineTuning, Transfer Learning, etc. and use them in our projects. Read papers and learn more AI concepts to increase your own knowledge. Yes, this is necessary. Build POCs. Work on client facing AI projects under guidance of senior engineers. Documenting your journey by writing technical articles explaining complex AI topics in simple language. Qualifications Deep expertise working as a machine learning engineer or similar role, focusing on NLP. Strong programming skills with proven experience implementing Python-based solutions. Familiar with common DS libraries (NumPy, pandas, and scikit-learn) Common ML frameworks (like PyTorch, TensorFlow, Keras), worked with text embeddings and transformer models No need for a degree, if you have skills we will be happy to work with you. Excellent written and verbal communication skills. Strong research skills to gather information and validate technical content. Proficiency in using reading AI papers if required. Bonus Experience LLMs and related tooling: Agents, GPT, Langchain, HuggingFace , etc. Deep learning techniques, reinforcement learning, and generative models Interview Process (<3 days) 1 x Phone Screen | 10 mins 1 x Technical Interview | 1 hour Note: This is a 3-month internship, with the potential to turn into a full-time job. We don't hire based on DSA. You’ll be a good fit if you’re awesome at AI and capable of building real-world applications with them. We prefer people who are strong in AI, web & tech fundamentals and open to learning any framework/library as required. Degrees are redundant. First-time job-seekers are encouraged to apply. Will hire based on potential. Work from wherever, whenever. Immediate Joiners only. Show more Show less

We are seeking a highly skilled and motivated Senior Data Scientist with 56 years of experience to drive the development of intelligent AI systems. This role requires extensive hands-on experience with Large Language Models (LLMs) , strong background in Agentic AI , Machine Learning , and Python programming . You will work on designing autonomous agents, building scalable ML pipelines, and integrating advanced LLM-powered solutions into real-world products. Key Responsibilities: Architect and implement agentic AI systems that use LLMs for autonomous reasoning, planning, and multi-step task execution. Lead the development, fine-tuning, evaluation, and deployment of Large Language Models (LLMs) using frameworks like Hugging Face Transformers, LangChain, LLM orchestration tools, and vector databases. Develop ML models using supervised, unsupervised, and reinforcement learning techniques, and integrate them into production environments. Design and build end-to-end machine learning pipelines, including data ingestion, feature engineering, training, and deployment. Optimize model performance and latency in real-world applications and implement model monitoring and retraining strategies. Collaborate with cross-functional teams including product, engineering, and business to translate AI capabilities into product features. Mentor junior data scientists and contribute to the team's technical excellence and innovation. Required Skills & Experience: 56 years of professional and relevant experience in data science, AI, or machine learning roles. Proven hands-on experience with LLMs, including fine-tuning, prompt engineering, and RAG (Retrieval-Augmented Generation) pipelines. Deep expertise in Python and ML libraries such as scikit-learn, PyTorch, TensorFlow, and transformers. Strong understanding of agentic AI principles, autonomous agents, and task orchestration. Experience with cloud platforms (AWS, GCP, or Azure) and scalable infrastructure for deploying AI models. Exposure to API development, ML model serving, and integration with real-time systems. Excellent communication and collaboration skills in cross-functional environments. Educational Qualification: Bachelor of Technology (B.Tech) in Computer Science, Data Science, Artificial Intelligence, or a related field from a recognized institution. Preferred Qualifications: Contributions to open-source AI/ML projects or research publications related to LLMs or agent-based systems. Familiarity with LangChain, AutoGPT, CrewAI, or other agent orchestration frameworks. Experience with vector databases (e.g., FAISS, Pinecone) and knowledge of semantic search. Understanding of multi-agent collaboration, goal decomposition, and planning architectures.

Primary skill Gen AI developer Secondary skill Model hosting LLM knowledge. Ability to stay updated with the latest advancements in generative AI research and incorporate them into work. -Advanced programming knowledge, including mastery of programming languages such as Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. -Expertise in generative models such as generative adversarial networks (GANs) and variational autoencoders (VAEs). The candidate should be able to design, train, and optimize these models to generate high-quality, creative content. -Natural language processing (NLP) for text generation projects. This includes familiarity with techniques for text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. -Model hosting LLM knowledge -Ability to design and implement scalable and efficient AI systems. -Advanced knowledge of natural language processing for text generation tasks. -Familiarity with computer vision and image generation using AI. Akshay : Ignore -Skills in data preprocessing and feature engineering for AI model training. -Strong understanding of neural network architectures and optimization techniques.

We are seeking an accomplished and visionary Data Scientist/ GenAI Lead to join Amgens Enterprise Data Management team. As MDM Data Science/Manager, you will lead the design, development, and deployment of Generative AI and ML models to power data-driven decisions across business domains. This role is ideal for an AI practitioner who thrives in a collaborative environment and brings a strategic mindset to applying advanced AI techniques to solve real-world problems. To succeed in this role, the candidate must have strong AI/ML, Data Science , GenAI experience along with MDM knowledge, hence the candidates having only MDM experience are not eligible for this role. Candidate must have AI/ML, data science and GenAI experience on technologies like ( PySpark / PyTorch , TensorFlow, LLM , Autogen , Hugging FaceVectorDB , Embeddings, RAGs etc ), along with knowledge of MDM (Master Data Management) Roles & Responsibilities: Drive development of enterprise-level GenAI applications using LLM frameworks such as Langchain, Autogen, and Hugging Face. Architect intelligent pipelines using PySpark, TensorFlow, and PyTorch within Databricks and AWS environments. Implement embedding models andmanage VectorStores for retrieval-augmented generation (RAG) solutions. Integrate and leverage MDM platforms like Informatica and Reltio to supply high-quality structured data to ML systems. Utilize SQL and Python for data engineering, data wrangling, and pipeline automation. Build scalable APIs and services to serve GenAI models in production. Lead cross-functional collaboration with data scientists, engineers, and product teams to scope, design, and deploy AI-powered systems. Ensure model governance, version control, and auditability aligned with regulatory and compliance expectations. Basic Qualifications and Experience: Masters degree with 8 - 10 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Bachelors degree with 10 - 14 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Diploma with 14 - 16 years of hands-on experience in Data Science, AI/ML technologies, or related technical domains Functional Skills: Must-Have Skills: 10+ years of experience working in AI/ML or Data Science roles, including designing and implementing GenAI solutions. Extensive hands-on experience with LLM frameworks and tools such as Langchain, Autogen, Hugging Face, OpenAI APIs, and embedding models. Strong programming background with Python, PySpark, and experience in building scalable solutions using TensorFlow, PyTorch, and SK-Learn. Proven track record of building and deploying AI/ML applications in cloud environments such as AWS. Expertise in developing APIs, automation pipelines, and serving GenAI models using frameworks like Django, FastAPI, and DataBricks. Solid experience integrating and managing MDM tools (Informatica/Reltio) and applying data governance best practices. Guide the team on development activities and lead the solution discussions Must have core technical capabilities in GenAI, Data Science space Good-to-Have Skills: Prior experience in Data Modeling, ETL development, and data profiling to support AI/ML workflows. Working knowledge of Life Sciences or Pharma industry standards and regulatory considerations. Proficiency in tools like JIRA and Confluence for Agile delivery and project collaboration. Familiarity with MongoDB, VectorStores, and modern architecture principles for scalable GenAI applications. Professional Certifications : Any ETL certification (e.g. Informatica) Any Data Analysis certification (SQL) Any cloud certification (AWS or AZURE) Data Science and ML Certification Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams

Job Title: Machine Learning Engineer – CUDA SDK Location: Bangalore G.P.O., Karnataka (Onsite preferred) Full-time | Contract through end of year Position Overview: We are seeking a skilled Machine Learning Engineer with deep expertise in CUDA SDK to support the enhancement, porting, and validation of PyTorch-based Large Language Models (LLMs) on custom AI hardware. This is a highly technical and hands-on role that will focus on optimizing CUDA code, integrating with PyTorch models, and ensuring high performance on proprietary AI processors. Key Responsibilities: Enhance, port, and validate PyTorch-based LLMs on proprietary AI processors using CUDA SDK APIs Extend and optimize CUDA code for seamless integration and peak performance Replace existing CUDA modules with custom implementations tailored to hardware-specific requirements Debug complex issues related to CUDA-PyTorch integration and model execution Develop validation frameworks and testing tools to ensure model correctness and system stability Collaborate with cross-functional engineering teams to ensure successful deployment and optimization Profile and tune GPU kernels for speed, memory efficiency, and scalability Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering , or related field Proven hands-on experience with CUDA programming and optimization Deep understanding of PyTorch and familiarity with training and inference of LLMs Strong skills in C++ and Python Experience in debugging low-level CUDA and performance bottlenecks Solid understanding of deep learning fundamentals , particularly transformer-based architectures Strong problem-solving abilities and attention to detail Excellent verbal and written communication skills Preferred Qualifications (Nice to Have): Experience with custom AI processor architectures Familiarity with additional frameworks such as TensorFlow Experience with profiling tools (Nsight, nvprof, etc.) and performance tuning for GPU workloads Personal Attributes: Passion for innovation in high-performance computing and AI/ML Strong analytical and critical thinking mindset Self-driven and results-oriented Excellent collaboration skills within multidisciplinary teams Job Type: Full-time Pay: ₹3,000,000.00 - ₹5,086,392.23 per year Schedule: Day shift Monday to Friday Application Question(s): Have you worked for US Clients? Can you work on C2C? Work Location: In person

Description What You'll Do: As a AI/ML Engineer at Meltwater, you'll play a vital role in building cutting-edge social solutions for our global client base within the Explore mission. We're seeking a proactive, quick-learning engineer who thrives in a collaborative environment. Our culture values continuous learning, team autonomy, and a DevOps mindset. Meltwater development teams take full ownership of their subsystems and infrastructure, including running on-call rotations. With a heavy reliance Software Engineer in AI/ML and Data Science. We seek individuals with experience in Cloud infrastructure and containerization, Docker, Azure or AWS is required (Azure is preferred). Data Preparation, Model Lifecycle (training, serving and registries) & Natural language Processing (NLP) and LLMs In this role, you'll have the opportunity to push the boundaries of our technology stack, from modifying open-source libraries to innovating with existing technologies. If you're passionate about distributed systems at scale and finding new ways to extract insights from vast amounts of data, we invite you to join us in this exciting journey. What You'll Bring: Bachelor's or master's degree in computer science or equivalent degree or demonstrable experience. Proven experience as a Software Engineer in AI/ML and Data Science. Minimum of 4-7 years of working experience. Good knowledge of Python and software engineering principles (4+ Years). Good knowledge of cloud infrastructure and containerization (4+ Years). Docker is required. Azure or AWS is required (Azure is preferred). Good working knowledge of TensorFlow / PyTorch (4+ Years). Good working knowledge of ML-Ops Principles (3+ Years). Data Preparation Model Lifecycle (training, serving and registries) Good theoretical knowledge of AI / Data Science in one or more of the following areas: Natural language Processing (NLP) and LLMs. Neural Networks Topic modelling and clustering Time Series Analysis (TSA), including anomaly detection, trend analysis, and forecasting) Retrieval Augmented Generation Speech to Text. Excellent communication and collaboration skills. What We Offer: Enjoy comprehensive paid time off options for enhanced work-life balance. Comprehensive health insurance tailored for you. Employee assistance programs cover mental health, legal, financial, wellness, and behaviour areas to ensure your overall well-being. Energetic work environment with a hybrid work style, providing the balance you need. Benefit from our family leave program, which grows with your tenure at Meltwater. Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career. Where You'll Work: HITEC City,Hyderabad. When You'll Join: As per the Offer Letter. Our Story At Meltwater, we believe that when you have the right people in the right environment, great things happen. Our best-in-class technology empowers our 27,000 customers around the world to make better business decisions through data. But we can’t do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers. Our award-winning global culture drives everything we do and creates an environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other’s successes along the way. We are innovators at the core who see the potential in people, ideas and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers. We’re proud of our diverse team of 2,200+ employees in 50 locations across 25 countries around the world. No matter where you are, you’ll work with people who care about your success and get the support you need to unlock new heights in your career. We are Meltwater. We love working here, and we think you will too. "Inspired by innovation, powered by people." Equal Employment Opportunity Statement Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment. All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, colour, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations. Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world. Show more Show less

AI Opportunities with Soul AI’s Expert Community! Are you an MLOps Engineer ready to take your expertise to the next level? Soul AI (by Deccan AI) is building an elite network of AI professionals, connecting top-tier talent with cutting-edge projects. Why Join? - Above market-standard compensation - Contract-based or freelance opportunities (2–12 months) - Work with industry leaders solving real AI challenges - Flexible work locations – Remote | Onsite | Hyderabad/Bangalore Your Role: - Architect and optimize ML infrastructure with Kubeflow, MLflow, SageMaker Pipelines - Build CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI/CD) - Automate ML workflows (feature engineering, retraining, deployment) - Scale ML models with Docker, Kubernetes, Airflow - Ensure model observability, security, and cost optimization in cloud (AWS/GCP/Azure) Must-Have Skills: 1. Proficiency in Python, TensorFlow, PyTorch, CI/CD pipelines 2. Hands-on experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML) 3. Expertise in monitoring tools (MLflow, Prometheus, Grafana) 4. Knowledge of distributed data processing (Spark, Kafka) ( Bonus: Experience in A/B testing, canary deployments, serverless ML) Next Steps: 1. Register on Soul AI’s website 2. Get shortlisted & complete screening rounds 3. Join our Expert Community and get matched with top AI projects Don’t just find a job. Build your future in AI with Soul AI! Show more Show less

Responsibilities Job Responsibilities: * Lead the development of Gen AI solutions, including design, implementation, and deployment of AI models and systems * Collaborate with cross-functional teams to identify business problems and develop AI-powered solutions to drive growth and efficiency * Design and implement scalable and efficient AI solutions, leveraging technologies such as LangChain, Agentic AI, RAG, Event driven architecture using Kafka etc. * Develop and maintain large-scale AI systems, ensuring high performance, reliability, and security * Lead and mentor a team of AI developers, providing guidance and expertise to ensure high-quality deliverables * Stay up-to-date with the latest advancements in Gen AI, Prompt Engineering, and related technologies, applying this knowledge to drive innovation and improvement * Develop and maintain technical documentation, including architecture diagrams, design documents, and technical guides * Participate in code reviews, ensuring high-quality code and adherence to coding standards and best practices Technical and Professional Requirements: Preferred Qualifications:* Experience with Agentic Frameworks such LangGraph, AutoGen, CrewAI* Experience with cloud-based AI platforms, such as AWS or Azure* Knowledge of containerization technologies, such as Docker* Familiarity with agile development methodologies, such as Scrum or Kanban* Experience with AI-related tools and frameworks, such as TensorFlow or PyTorch* Strong understanding of software design patterns, principles, and best practices* Experience with DevOps practices, including continuous integration and continuous deployment (CI/CD)* Certification in AI, machine learning, or related fields, such as Certified Data Scientist or Certified AI Engineer Preferred Skills: Technology->Artificial Intelligence->Artificial Intelligence - ALL Technology->Machine Learning->GoLearn Technology->Machine Learning->Generative AI Additional Responsibilities: Required Qualifications:* Bachelor's or Master's degree in Computer Science, Engineering, or related field (B.E/B.Tech/M.E/M.Tech/MCA)* At least 5-8 years of experience in software development, with a minimum of 2 years of experience in Gen AI* Strong proficiency in LangChain, Python, Gen AI, Agentic AI, and Prompt Engineering* Excellent communication, teamwork, problem-solving, and leadership skillsTech Skill: LangChain, Python, Fast/Flask API, Gen AI, Agentic AI, Advanced Prompt Engineering, Machine Learning, SQL, KafkaSoft Skill: Communication, Team Work, Problem Solving Educational Requirements Bachelor of Engineering Service Line Information Systems * Location of posting is subject to business requirements

Req ID: 284544 We are currently seeking a Systems Integration Advisor -Technical Architecture-Cloud Services-AWS to join our team in Bangalore, Karntaka (IN-KA), India (IN). : We are seeking a highly skilled and motivated Mid-Level AI/DS Specialist to join our dynamic team at NTT Data. The ideal candidate will have a strong background in artificial intelligence and data science, with expertise in natural language processing (NLP), generative AI (Gen-AI), and conversational AI. The candidate should be well-versed with the Microsoft AI platform, OpenAI, Databricks, Python, and common data science libraries and tools. Additionally, the candidate should be capable of fine-tuning large language models (LLMs) and familiar with AI/ML engineering and prompt engineering. Key Responsibilities: Develop and implement AI/DS solutions to enhance business processes and customer experiences. Utilize NLP, Gen-AI, and conversational AI techniques to build and optimize AI models. Work with the Microsoft AI platform, OpenAI, and Databricks to develop and deploy AI solutions. Write efficient and scalable code in Python, leveraging common data science libraries and tools. Fine-tune LLM models to meet specific project requirements. Collaborate with cross-functional teams to integrate AI/DS solutions into existing systems. Stay updated with the latest advancements in AI/DS and apply them to ongoing projects. Conduct prompt engineering to improve the performance and accuracy of AI models. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. Proven experience in AI/DS, with a focus on NLP, Gen-AI, and conversational AI. Proficiency in the Microsoft AI platform, OpenAI, Databricks, and Python. Strong knowledge of common data science libraries and tools. Experience in fine-tuning LLM models. Familiarity with AI/ML engineering and prompt engineering. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.