6900 Machine Learning Jobs - Page 10

Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence documentation. - Build and maintain orchestration logic for prompt execution and data retrieval. - Set up API authentication and role-based access controls for integrated systems. - Connect and validate vector store operations (e.g., Pinecone, Weaviate, or Snowflake vector extension). - Contribute to documentation, internal walkthroughs, and user acceptance testing planning. - Participate in Agile ceremonies including daily standups and sprint demos. Required Qualifications : - Proven experience with Gemini and large language model deployment in production environments. - Proficiency in Python, orchestration tools, and prompt engineering techniques. - Familiarity with vector database technologies and embedding workflows. - Experience integrating APIs for data platforms such as Looker and Confluence. - Strong understanding of access control frameworks and enterprise-grade authentication. - Demonstrated success in Agile, sprint-based project environments. Preferred Qualifications : - Experience working with Slack app development and deployment. - Background in MLOps, LLMOps, or AI system orchestration at scale. - Excellent communication skills and ability to work in cross-functional teams.

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

About Position: We are conducting an in-person hiring drive for the position of ML Engineer / Sr. ML Engineer in Hyderabad. We are looking for an experienced and talented ML Engineer/Sr. ML Engineer to join our growing data competency team. The ideal candidate will have a strong background in working with GEN AI , ML , NLP, Python. You will work closely with our data analysts, engineers, and business teams to ensure optimal performance, scalability, and availability of our data pipelines and analytics. Role: ML Engineer/Sr. ML Engineer Location: Gate 11, Argus Block-Sattva Knowledge City, 6th Floor Beside T-hub, Silpa Gram Craft Village, Madhapur Rai Durg, Hyderabad, 500081 Experience: 4 -7Years Job Type: Full Time Employment What You'll Do: Bachelor's degree in computer engineering or related field. Proven experience 3-4 years working as a ML Engineer or similar role. Proficient in programming languages: Python used as Object-Oriented Programming. In-depth knowledge of AI/ML fundamentals, including deep learning, optimization techniques, NLP, and LLMs. Experience in CI/CD tools & pipelines: Github Actions, Jenkins, Docker, Kubernetes Demonstrated experience and knowledge in Linux and Docker containers Demonstrated experience and knowledge in some of the main cloud providers (knowledge of Azure is a plus) Experience in the use of collaborative developing tools such as: Git, Confluence, Jira, etc. Demonstrated experience developing REST API Experience with ML/Ops technologies like Azure ML & Databricks Familiarity with SQL for data manipulation and analysis. Excellent problem-solving skills and attention to detail. Ability to thrive in a fast-paced, dynamic environment. Agile methodologies development (SCRUM/KANBAN). Expertise You'll Bring: 4+ years of experience working with data science. Strong proficiency in ML, GenAI, Python Experience in NLP, LLM, APIs Strong analytical, problem-solving, and troubleshooting skills. Ability to work independently and in a collaborative team environment. Python, PyTorch/ TensorFlow LLMs (OpenAI, LLaMA, HuggingFace) RAGframeworks (Langchain, LlamaIndex) Cloud (AWS/GCP/Azure) Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry's best Let's unleash your full potential at Persistent "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

1- 6 years Education: Bachelors degree in computer science, Data Science, or related field, or equivalent practical experience Location Hyderabad/Bangalore/Pune, India Primary Skills: AI & Machine Learning: Basic understanding of AI concepts and machine learning fundamentals, Familiarity with Large Language Models (LLMs) and Prompt engineering concepts, Interest in AI Agents, and frameworks like LangChain or Crew AI, Basic knowledge of Python ML libraries (e.g., scikit-learn, NumPy, Pandas) Programming: Working knowledge of Python for AI/ML implementation Version Control: Git, GitHub workflow Cloud: Basic understanding of cloud concepts for AI/ML workloads (GCP/AWS or Azure) Frameworks: Knowledge of at least one backend framework (Django, Flask, FastAPI) Data Handling: Basic experience with data processing and analysis Key Responsibilities: Assist in developing and maintaining AI components under the guidance of senior engineers Help implement LLM-based features and basic AI Agents using established frameworks. Learn about prompt engineering and LLM fine-tuning techniques. Support data preparation, cleaning, and preprocessing for AI models. Assist with model testing, evaluation, and basic performance analysis. Document AI implementation details and contribute to technical documentation. Participate in code reviews to improve code quality and learn from feedback. Help troubleshoot issues in AI pipelines and implementations. Collaborate with cross-functional teams to understand AI implementation requirements.

Conducting classroom Training on programming skills Creating a positive and engaging learning environment A passion for teaching and helping students achieve their career goals Strong knowledge of SQL. Python, Data Science, ML, DL, NLP, Power Bi

Must Have: 1. Strong background in machine learning (unsupervised and supervised techniques) with significant experience in text analytics/NLP. 2. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc. 3. Strong programming ability in Python with experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, etc. 4. Good knowledge of database query languages like SQL and experience with databases (PostgreSQL/MySQL/ Oracle/ MongoDB) 5. Excellent verbal and written communication skills, 6. Excellent analytical and problem-solving skills 7. Degree in Computer Science, Engineering or relevant field is preferred. 8. Proven Experience as Data Analyst or Data Scientist Good To Have: 1. Familiarity with Hive, Pig and Scala 2. Experience with Data Visualization Tools like matplotlib, plotly, seaborn, ggplot, etc 3. Experience with using cloud technologies on AWS/ Microsoft Azure "

We are looking for 5+years experienced candidates for this role. Job Description Strong knowledge of statistical modeling, machine learning, deep learning and GenAI. Proficiency in Python and experience optimizing code for performance. Experience with data preprocessing, feature engineering, data visualization and hyperparameter tuning. Solid understanding of database concepts and experience working with large datasets. Experience deploying and scaling machine learning models in a production environment. Familiarity with machine learning operations (MLOps) and related tools. Good understanding of Generative AI concepts and LLM finetuning. Excellent communication and collaboration skills. Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Responsibilities include: Lead the development and deployment of machine learning/deep learning models to address key business challenges. Apply statistical modeling, data preprocessing, feature engineering, machine learning, and deep learning techniques to build and improve models. Have expertise in at least two of the following areas: computer vision, predictive analytics, natural language processing, time series analysis, recommendation systems. Expertise in GenAI models is a must. Design, implement, and optimize data pipelines for model training and deployment. Experience with any one of the model serving frameworks (e.g.,TensorFlow Serving, TorchServe, KServe, or similar). Design and implement APIs for model serving and integration with other systems. Collaborate with cross-functional teams to define project requirements, develop solutions, and communicate results. Mentor junior data scientists, providing guidance on technical skills and project execution. Stay up-to-date with the latest advancements in data science and machine learning, particularly in generative AI, and evaluate their potential applications. Communicate complex technical concepts and analytical findings to both technical and non-technical audiences. Primary Skills : Python Data Science concepts Generative AI Pandas, NumPy, Matplotlib Artificial Intelligence Statistical Modeling Machine Learning, Natural Language Processing (NLP), Deep Learning Model Serving Frameworks (e.g., TensorFlow Serving, TorchServe) MLOps(e.g; MLflow, Tensorboard, Kubeflow etc) Computer Vision Predictive Analytics Time Series Analysis Anomaly Detection Recommendation Systems SQL Proficent in any of Cloud Computing Platforms (e.g., AWS, Azure, GCP)

Exp : 3 to 8 years Responsibilities: * Design, develop & deploy AI/ML solutions using Python, ML algorithms & Deep Learning techniques. * Collaborate with cross-functional teams on project requirements & deliverables. Leave encashment Referral bonus Gratuity Provident fund Paternity leaves Maternity leaves Performance bonus Sales incentives

Key Responsibilities : We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities : Agent Development : - Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. - Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration : - Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. - Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation : - Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. - Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support : - Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. - Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement : - Stay updated on advancements in AI, machine learning, and Microsofts AI technologies. - Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills : - Strong knowledge of Azure OpenAI, Azure AI Search Index and open source libraries such as LangChain and LlamaIndex. - Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. - Understanding of conversational AI technologies and chatbot frameworks. - Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements : - Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Proven experience in developing and deploying AI/ML models in real-world applications. - Strong programming skills, especially in Python, and familiarity with version control systems like Git. - Extensive experience in the Microsoft environment and related technologies.

Role : AI Engineer Location : Remote Exp : 8 - 10 We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence documentation. - Build and maintain orchestration logic for prompt execution and data retrieval. - Set up API authentication and role-based access controls for integrated systems. - Connect and validate vector store operations (e.g., Pinecone, Weaviate, or Snowflake vector extension). - Contribute to documentation, internal walkthroughs, and user acceptance testing planning. - Participate in Agile ceremonies including daily standups and sprint demos. Required Qualifications : - Proven experience with Gemini and large language model deployment in production environments. - Proficiency in Python, orchestration tools, and prompt engineering techniques. - Familiarity with vector database technologies and embedding workflows. - Experience integrating APIs for data platforms such as Looker and Confluence. - Strong understanding of access control frameworks and enterprise-grade authentication. - Demonstrated success in Agile, sprint-based project environments. Preferred Qualifications : - Experience working with Slack app development and deployment. - Background in MLOps, LLMOps, or AI system orchestration at scale. - Excellent communication skills and ability to work in cross-functional teams.

Job Title : Data Scientist - AI Integration & Orchestration. Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence documentation. - Build and maintain orchestration logic for prompt execution and data retrieval. - Set up API authentication and role-based access controls for integrated systems. - Connect and validate vector store operations (e.g., Pinecone, Weaviate, or Snowflake vector extension). - Contribute to documentation, internal walkthroughs, and user acceptance testing planning. - Participate in Agile ceremonies including daily standups and sprint demos. Required Qualifications : - Proven experience with Gemini and large language model deployment in production environments. - Proficiency in Python, orchestration tools, and prompt engineering techniques. - Familiarity with vector database technologies and embedding workflows. - Experience integrating APIs for data platforms such as Looker and Confluence. - Strong understanding of access control frameworks and enterprise-grade authentication. - Demonstrated success in Agile, sprint-based project environments. Preferred Qualifications : - Experience working with Slack app development and deployment. - Background in MLOps, LLMOps, or AI system orchestration at scale. - Excellent communication skills and ability to work in cross-functional teams.

Location : Remote Exp : 8 - 10 We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

Key Responsibilities : We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities : Agent Development : - Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. - Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration : - Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. - Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation : - Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. - Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support : - Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. - Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement : - Stay updated on advancements in AI, machine learning, and Microsofts AI technologies. - Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills : - Strong knowledge of Azure OpenAI, Azure AI Search Index and open source libraries such as LangChain and LlamaIndex. - Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. - Understanding of conversational AI technologies and chatbot frameworks. - Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements : - Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Proven experience in developing and deploying AI/ML models in real-world applications. - Strong programming skills, especially in Python, and familiarity with version control systems like Git. - Extensive experience in the Microsoft environment and related technologies.

Role : AI Engineer Location : Remote Exp : 8 - 10 We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

Responsibilities : - Design and Development : Architect, design, and develop user-friendly and scalable AI-powered applications using React.js for the frontend and Node.js for the backend. - Generative AI Implementation : Implement, integrate, and fine-tune Generative AI models (e.g., text generation, image synthesis) for specific application requirements. - API Development and Integration : Develop and consume RESTful and GraphQL APIs to facilitate communication between frontend applications and AI/ML models and backend services. - LLM and NLP Integration : Leverage Large Language Models (LLMs) and Natural Language Processing (NLP) techniques to enhance application features and user interactions. - Machine Learning Frameworks : Utilize and integrate various machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) as needed for specific AI functionalities. - Performance Optimization : Optimize AI models and application code for performance, scalability, reliability, and cost-effectiveness. - Collaboration : Collaborate effectively with data scientists, machine learning engineers, backend developers, product managers, and designers throughout the development lifecycle. - Code Quality and Best Practices : Write clean, well-documented, and testable code, adhering to best practices and contributing to CI/CD pipelines for continuous integration and deployment. - Research and Innovation : Stay abreast of the latest advancements in Generative AI, Large Language Models, NLP, web development technologies, and industry trends. Proactively explore and propose new technologies and approaches to enhance our products. - Problem Solving : Troubleshoot and resolve technical issues related to AI model integration, application performance, and API interactions. - Documentation : Create and maintain comprehensive technical documentation for developed components and systems. Qualifications : - Education : Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field. - Experience : [Specify the desired years of experience - e.g., 2-5 years] of professional experience in full-stack development with a focus on frontend (React.js) and backend (Node.js) technologies. - Frontend Expertise : Proven experience in developing responsive and dynamic user interfaces using React.js, including state management libraries (e.g., Redux, Zustand, Context API), component-based architecture, and modern JavaScript (ES6+). - Backend Expertise : Solid experience in developing robust and scalable backend applications using Node.js and frameworks like Express.js or NestJS. - API Development : Strong understanding and practical experience in designing and implementing RESTful and/or GraphQL APIs. - AI/ML Fundamentals : Familiarity with fundamental concepts of Artificial Intelligence and Machine Learning, including different types of models and their applications. - Generative AI Exposure : Experience with implementing or fine-tuning Generative AI models (e.g., using libraries or cloud-based services). - LLM and NLP Knowledge : Understanding of Large Language Models (LLMs) and Natural Language Processing (NLP) concepts and their practical applications. - Machine Learning Frameworks (Desirable) : Familiarity with one or more machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. - Database Knowledge : Experience working with various database systems (e.g., PostgreSQL, MySQL, MongoDB). - DevOps Practices : Understanding of CI/CD pipelines and experience with relevant tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions). - Testing : Experience with writing unit, integration, and end-to-end tests. - Problem-Solving Skills : Excellent analytical and problem-solving abilities. - Communication Skills : Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences. - Collaboration : Ability to work effectively in a collaborative team environment

Creenosolutions. We are hiring Sr. Solutions Architect - AI for one of our customer. Position Title : Sr. Solutions Architect - AI Location : Hyderabad / Bengaluru / Indore Experience : 11 Yrs. Roles & Responsibilities : This position is critical for driving innovation within AI and related fields, requiring a mix of technical expertise and strategic vision. Apply only if you are ready to take on exciting challenges in a fast-paced, growth-oriented environment. Primary Responsibilities : - Design AI and cloud-based solutions (accelerators/applications) and lead the team in building them. - Stay up to date with evolving trends in AI and technology. - Present solution designs to business users, senior leadership, and clients effectively. Required Skills & Experience : - Work Experience : 15 Years - Strong understanding and passion for learning and building AI-based solutions and offerings. - Broad expertise in Solution Architecture, Cloud platforms (AWS/Azure), end-to-end Software Development, Integration, and Cyber Security (most areas preferred). - Hands-on coding experience (Java, .NET, Python) is highly desirable. - Experience or advanced knowledge in AI technologies such as Claude, GitHub Copilot, and Private ChatGPT is a significant advantage. - Familiarity with LLMs, SLMs, and Agentic AI is a strong plus. - Experience in at least one vertical-Finance or Healthcare. - Excellent communication skills with a proven track record of presenting to clients and stakeholders. - Demonstrated ability to quickly learn and apply new technologies and methodologies. - A proactive mindset with a strong ability to adapt and thrive in a dynamic environment. Education & Certifications : - Bachelor's or master's degree in computer science, Engineering, or a related field - Certification in Cloud and AI platforms (e.g., AWS Certified Machine Learning Specialty, Microsoft Certified : Azure AI Engineer Associate, Google Cloud AI certifications) is a strong plus.

Role : AI Engineer Location : Remote Exp : 8 - 10 We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

Role : AI Engineer Job Location : Mumbai About the Role : We are seeking an experienced and innovative Lead AI Engineer to spearhead our AI initiatives and lead the development of cutting-edge solutions. In this role, you will lead a team of AI professionals to design, develop, and implement AI models and systems that solve complex real-world problems. Key Responsibilities : - Define and implement the AI vision and roadmap in alignment with organizational goals. - Design, build, and deploy AI/ML models, ensuring accuracy, scalability, and performance. - Mentor and guide a team of AI engineers and data scientists, fostering innovation and collaboration. - Stay updated with the latest advancements in AI/ML and integrate relevant innovations into our projects. - Data Management : Collaborate with data engineers to preprocess and analyze large datasets to train AI models effectively. - Oversee the deployment of AI solutions into production environments and monitor performance. - Work closely with product, engineering, and business teams to align AI solutions with business objectives. - Ethical AI Practices : Ensure AI solutions adhere to ethical standards, fairness, and regulatory compliance. Qualifications : Education : Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field (PhD preferred). Experience : - 5+ years in AI/ML engineering roles, with 2+ years in a leadership position. - Proven experience in deploying scalable AI/ML solutions in production environments. Technical Skills : - Proficiency in programming languages like Python, R, or Java. - Expertise in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc. - Knowledge of big data tools like Hadoop, Spark, and cloud platforms (AWS, Azure, GCP). - Strong understanding of algorithms, data structures, and mathematics (linear algebra, probability, statistics). Soft Skills : - Strong leadership, communication, and project management skills. - Ability to work in a fast-paced, collaborative environment. - Problem-solving mindset with a focus on innovation and scalability. Preferred Skills : - Experience with Natural Language Processing (NLP), computer vision, or reinforcement learning. - Familiarity with DevOps practices and MLOps tools. - Knowledge of ethical AI principles and regulatory standards.

Overview The Global Trade Compliance team is responsible to support all business functions related to cross- border transactions. Responsibilities Essential Duties and Responsibilities: Policies, Procedures, Processes (Creation & Implementation) o Creates processes and procedures related to International Trade Compliance; o Applies experience and advanced research skills to updating and maintaining procedures, processes, and policies. – Systems & Product Database Management / Trade Data Management (e.g., HTS, ECCN, COO) o Analyzes and creates the process for maintaining trade compliance elements in the item databases. o Superuser for at least one trade system / tool. – Regulatory Updates & Guidance to Various Internal & External Stakeholders o Research legal regulatory requirements. – Clearance / Processes / Export Controls (Export, Import or Both) o When necessary, prepares paperwork required for import, processes ECOs with trade compliance attributes. o Interacts with various levels of stakeholders to ensure full support of the operations. o Classifies Zebra's items in Harmonized Tariff Schedule (HS numbers) and/or Export Controls Commodity Number. o Validates classifications. – Recordkeeping o Recommends and establishes policies and procedures for recordkeeping Note: The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, abilities, and skills required of personnel so classified. Qualifications Job Requirements: Minimum Education: Bachelor’s Degree, and an advanced degree or consulting work experience (at Big 5) is preferred. Preferred focus of the advanced degree is Business, Finance, Communication or Law. Minimum Work Experience (years): Minimum of 5 years of direct trade compliance work experience, such as regulatory work experience with import or export laws and regulations is required. At least 2 years of continuous commodity classification (export or import) experience is preferred. Key Skills and Competencies: Export license application experience, including commodity classification determinations, commodity jurisdiction, sanctions work, etc. is preferred Excellent writing skills are required Excellent communication skills are required Project Management knowledge is required Advanced knowledge of MS Word and Excel is required Licenses/Certifications, special qualifications: n/a Equivalencies: n/a Position Specific Information: Travel Requirements (as a % of time): less than 5% on an “as needed” basis Able to telework? Yes/no – if yes, % of time and expectations while teleworking: yes Personal Protective Equipment (PPE) Required (safety glasses, steel-toed boots, gloves, etc.): No U.S. Only – Frequency Definitions for Physical Activities, Environmental Conditions and Physical Demands: Never – 0% Occasionally - 0-20 times per shift or up to 33% of the time Frequently - 20-100 times per shift or 33-66% of the time Constantly - Over 100 times per shift or 66-100% of the time Physical Activities (U.S. only): Select the frequency for each item on the below list (never, occasionally, frequently, constantly). Ascending or descending ladders, stairs, scaffolding, ramps, poles and the like. ( Never) Working from heights such as roofs, ladders, or powered lifts. ( Never) Moving self in different positions to accomplish tasks in various environments including awkward or tight and confined spaces. ( Never) Remaining in a stationary position, often standing or sitting for prolonged periods. ( Frequently) Stooping, kneeling, bending, crouching, reaching, pushing/pulling. ( Occasionally) Moving about to accomplish tasks or moving from one worksite to another. ( Never) Adjusting or moving objects up to ## pounds in all directions. ( Never) Communicating with others to exchange information. ( Frequently) Repeating motions that may include the wrists, hands and/or fingers. ( Frequently) Operating machinery and/or power tools. ( Never) Operating motor vehicles, industrial vehicles, or heavy equipment. ( Never) Assessing the accuracy, neatness and thoroughness of the work assigned. ( Constantly) Environmental Conditions (U.S. only): Select the frequency for each item on the below list (never, occasionally, frequently, constantly). Exposure to extreme temperatures (high or low). ( Never) Outdoor elements such as precipitation and wind. ( Never) Noisy environments. ( Never) Other hazardous conditions such as vibration, uneven ground surfaces, or dust & fumes. ( Never) Small and/or enclosed spaces. ( Never) No adverse environmental conditions expected. ( Never) Physical Demands (U.S. only): ( Sedentary work that primarily involves sitting/standing.) Must be able to see color. ( No) Rewards Only Section: FLSA Exemption (U.S. only): For Exempt classifications only, what exemption was used when grading the job Administrative Computer Professional Executive Outside Sales Highly compensated

Were looking for a skilled Python Developer with strong hands-on experience integrating and working with modern Large Language Models (LLMs) such as OpenAI , Claude , Amazon Titan , Gemini , and others. The ideal candidate will have deep experience in building, deploying, and fine-tuning LLM-powered features into real-world applications. This is a high-impact role for someone passionate about applying generative AI and LLMs to solve complex business problems. Role & responsibilities Design and develop Python-based APIs, scripts, and services that interact with LLMs like OpenAI GPT, Claude, Titan, Gemini, etc. Integrate LLMs into applications for use cases like text summarization, Q&A systems, semantic search, code generation, personalization, and workflow automation. Optimize prompt engineering, fine-tuning, and model orchestration for accuracy, performance, and cost. Implement robust error handling, logging, and monitoring for LLM-powered components. Collaborate with product teams, data scientists, and AI researchers to experiment with and evaluate different models and approaches. Stay up-to-date with advancements in AI/ML and contribute insights and improvements to our AI capabilities. Preferred candidate profile Joining in the next 15 days. 2+ years of professional Python development experience. Proven experience working with any one of the following LLMs: OpenAI (e.g., GPT-4/4o, embeddings) Claude (Anthropic APIs) Amazon Bedrock / Titan Google Gemini Strong understanding of RESTful APIs, asynchronous programming, and cloud-based deployments (AWS, GCP, or Azure). Experience with libraries like LangChain , LLM orchestration tools , or vector databases like Pinecone , Weaviate , or FAISS . Familiarity with prompt engineering and prompt chaining techniques. Experience in data processing, NLP pipelines, and working with JSON, YAML, or XML. Excellent problem-solving skills and a collaborative mindset. Nice-to-Have Skills Experience with front-end frameworks or full-stack development (e.g., React, Flask/FastAPI). Experience with RAG (Retrieval Augmented Generation) systems. Background in ML model evaluation, vector embeddings, and semantic search. Contributions to open-source AI projects or published work in the LLM domain.

At STAEDEAN , we are motivated by a simple yet impactful mission: to empower our customers by solving complex business challenges with seamless digital solutions. Trusted by over 2,000 customers worldwide, we are an enthusiastic and tech-savvy team dedicated to driving innovation at every step. As an AI/ML Engineer, you will be a core contributor to the implementation of intelligent, production-ready solutions that integrate seamlessly with Microsoft platforms. Working closely with our AI Architect, Data Scientist, and Product Owners, you will bring AI concepts to lifebuilding robust pipelines, interfaces, and integrations for ERP and business applications powered by large language models (LLMs), Azure AI, and Copilot. Your responsibilities will include: What You Need to Succeed: Proven experience in AI/ML applications, ideally in enterprise or ERP settings Hands-on experience with Azure AI services, Copilot, and ERP systems, preferably Microsoft Dynamics 365 or similar platforms Familiarity with Power Platform, Power BI, and Dataverse Strong Python skills for backend logic, data processing, and model orchestration Experience building modular pipelines, APIs, and workflows in cloud environments Understanding of prompt engineering, RAG (Retrieval-Augmented Generation) and fine-tuning, and LLM evaluation best practices Ability to work independently and take ownership of projects while meeting deadlines Strong collaboration and communication skillsyou can align with architects, developers, and business stakeholders Bonus: Experience with MLOps, DevOps, CI/CD, and monitoring tools

As the MLOps Lead, you will be responsible for leading the deployment and operationalization of AI/ML solutions. You will collaborate with data scientists, engineers, and IT teams to ensure that machine learning models are efficiently deployed, monitored, and maintained. Your role will be crucial in bridging the gap between data science and production, ensuring that our AI initiatives are scalable, reliable, and deliver business value. Responsibilities: • Lead the design, implementation, and management of MLOps pipelines to deploy machine learning models into production. Work closely with data scientists to understand model requirements and ensure smooth integration and deployment. Develop and maintain infrastructure for model training, validation, deployment, and monitoring. Implement best practices for CI/CD pipelines in the context of AI/ML model development and deployment. Ensure scalability, reliability, and performance of deployed models through monitoring and continuous optimization. Leverage containerization and orchestration tools (e.g., Docker, Kubernetes) to manage model deployment environments. Collaborate with IT and DevOps teams to ensure seamless integration of AI/ML solutions with existing systems. Implement and enforce security best practices for AI/ML models and data pipelines. Stay updated with the latest advancements in MLOps tools, frameworks, and methodologies. Provide technical leadership and mentorship to junior team members. Requirements: • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Proven experience (8+ years) in MLOps, DevOps, or a related field, with a focus on deploying machine learning models. Strong understanding of machine learning, deep learning, NLP, and generative AI techniques. Proficiency with MLOps tools and frameworks such as MLflow, Kubeflow, TensorFlow Extended (TFX), or similar. Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI. Proficiency in programming languages such as Python and familiarity with ML/DL frameworks like TensorFlow, PyTorch, and scikit-learn. Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Strong understanding of version control systems (e.g., Git) and collaborative development workflows. Excellent problem-solving skills and the ability to design robust, scalable MLOps solutions. Strong communication skills, with the ability to collaborate effectively with cross-functional teams. Experience in leading and mentoring technical teams. Preferred Qualifications: Experience with big data technologies and tools such as Hadoop, Spark, and Kafka. Familiarity with data visualization tools such as Tableau, Power BI, or similar.

Mode of work : Hybrid or Remote (Hyderabad or Pune candidates preferred for Hybrid working mode or any candidates from Pan India for remote is also fine) Job Description for AI Architect : Mandatory Skills : - SQL - Data science - AI/ML - GenAI - Data Engineering Optional Skills : Data Modelling Role & Responsibilities : - Strong Python programming expertise - Hands-on experience with AI-related Python tasks (e.g., data analysis, modeling) - Experience with analyzing discrete datasets - Proficiency in working with pre-trained AI models - Problem-solving ability in real-world AI use cases Python Proficiency : - Speed and accuracy in writing code - Understanding of syntax and debugging without external help - Ability to solve complex problems with minimal Google reliance. AI & Data Analysis Skills : - Hands-on expertise in data manipulation and analysis - Understanding of AI modeling and implementation Problem-Solving & Debugging : - Ability to analyze error logs and fix issues quickly - Logical approach to troubleshooting without relying on trivial searches Practical Application & Use Cases : - Ability to apply AI/ML techniques to real-world datasets - Experience with implementing pre-trained models effectively Interview Task : - Given a dataset , candidates must perform multivariate analysis. - Implement modeling using pre-trained models. - Debugging ability without excessive reliance on Google. - Live coding assessment with an open-book approach (Google allowed but should not rely on basic algorithm searches). Role-Specific Expertise : - If applying for AI Architect, the assessment will focus on AI-related tasks. - If applying for Data Engineer, tasks will be aligned with data engineering requirements Location-Hyderabad/Bangalore/Chennai/Pune/Noida/Delhi/Anywhere in india