134 Ai Algorithms Jobs - Page 6

Designing, developing, and training machine learning models using various algorithms and techniques. Evaluating the performance of machine learning models using appropriate metrics and techniques. Required Candidate profile Working closely with other engineers, data scientists, and stakeholders to ensure the success of AI/ML projects.

Role & responsibilities We are looking for a skilled and proactive AI Developer / AI Application Engineer based in India to support our international AI efforts. In this role, you will collaborate closely with our core AI team in Germany, taking on a mix of software development and hands-on data engineering responsibilities at our technical lab in India. You'll help maintain a high-quality data pipeline and contribute to software projects involving data management (C#), real-time systems (C/C++ with TensorRT), and AI prototyping (Python). In the future, you may also contribute to the development of a knowledge-based chatbot deployed in our cloud or local infrastructure. Skillset and Knowledge requirement: Software Development (50%) Support internal tooling and data workflows in C# for our Data Management Software. Assist with development of C/C++ code for real-time production systems, some accelerated with TensorRT. Contribute to Python-based AI prototypes using common ML/data libraries (NumPy, pandas, scikit-learn, PyTorch,...). Collaborate on future projects such as a web- or cloud-based company knowledge chatbot. Follow clean code practices and use a version control system for code collaboration. Technical Lab & Data Engineering (50%) Operate and monitor machine(s) in our Indian technical lab for AI-related data collection. Supervise and document the acquisition of materials and related sensor or process data. Handle labeling, preprocessing, and structured importing of data into internal systems. Ensure consistency, traceability, and quality of all data sent to the core AI team. Preferred candidate profile Bachelors or masters degree in one of the following fields: Computer Science, Electrical and Computer Engineering, Artificial Intelligence Solid experience with: C# (desktop/backend tools) C/C++ (real-time/embedded or performance-critical systems) Python for prototyping and scripting (AI/data tools) Strong technical understanding of data engineering practices. Clear and structured communication skills to work with international teams. Strong sense of ownership, attention to detail, and ability to self-manage. Perks and benefits Opportunity to work with a leading German AI team on industrial applications. A practical blend of software development and lab-based engineering tasks. Access to challenging, high-impact projects with future growth potential. A supportive, structured, and internationally connected working environment.

Job Title: Senior Systems Engineer Qualification: BTech / MTech/ BE Experience: 2 Yrs - 5 Yrs Package : 6LAP - 8LPA Shift: General shift Role & responsibilities Knowledge / Experience in AI Model Engineering Proficiency in programming languages such as Python or Java, or C++. Develop and maintain infrastructure as code (IaC) using tools like Terraform, ARM templates, or Bicep. Preferred candidate profile Proficiency in scripting languages such as Python, PowerShell, or Bash. Bachelors degree in computer science, Engineering, or a related field. Regards 8489756652 Ramya S

Job Title: AI Expert / Artificial Intelligence Specialist Location: Bangalore Experience Required: Minimum 3 Years Employment Type: Full-time Industry: IT Services & Consulting / AI & ML Job Summary: We are looking for a highly skilled and motivated AI Expert to join our technology team. The ideal candidate will have hands-on experience in developing, deploying, and scaling AI/ML models and working with large datasets to solve real-world business problems. Key Responsibilities: Design, develop, and deploy AI/ML models for business use cases. Work on NLP, computer vision, and predictive analytics projects. Collaborate with cross-functional teams including Data Engineers, Product Managers, and Software Developers. Implement machine learning algorithms and deep learning frameworks. Analyze large datasets to extract meaningful insights. Optimize model performance and conduct A/B testing. Stay updated with the latest AI trends, tools, and research. Required Skills: Strong understanding of machine learning algorithms, neural networks, and deep learning. Hands-on experience with Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Experience with NLP, computer vision, or recommendation systems is a plus. Solid knowledge of data structures, algorithms, and statistics. Familiarity with cloud platforms like AWS, Azure, or GCP. Experience with AI model deployment and MLOps tools is a plus. Educational Qualification: Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. - 4 Month Probation Period

Reputed CBSE schools require skilled Computer Teachers with AI knowledge, B.Ed, strong communication, modern teaching & tech expertise. CBSE board exposure essential. Multiple locations available. Required Candidate profile Innovative well-known Computer Skills, B.Ed-qualified Computer Teacher with AI expertise, CBSE experience, excellent communication & digital skills. Passionate educator, adaptable & ready to relocate.

Role & responsibilities Job Summary: We are seeking a hands-on AI Engineer to design, build, and deploy intelligent AI agents using GCP Vertex AI , LangChain , and modern UI tools like Streamlit . The ideal candidate will bring together skills in large language models (LLMs), agent orchestration , MLOps , and user-friendly interface development to create powerful and accessible AI solutions. Key Responsibilities: Design and implement LLM-based agents using LangChain , integrated with GCP Vertex AI services. Build interactive UIs using Streamlit or similar frameworks to showcase and test AI agent capabilities. Develop end-to-end ML pipelines for training, evaluation, and deployment using tools like Vertex Pipelines , Kubeflow , or Airflow . Integrate with APIs, vector databases, and knowledge sources to enable RAG (Retrieval-Augmented Generation) workflows. Deploy scalable, secure AI services using CI/CD pipelines , infrastructure-as-code, and version-controlled model registries. Monitor model performance, manage experiments, and optimize agent behavior in production environments. Work cross-functionally with product, design, and engineering teams to deliver intuitive, high-impact AI-powered applications. Required Qualifications: Relevant of 36 years of hands-on experience in AI/ML engineering , including recent work with LLMs and LangChain . Proficiency with GCP Vertex AI tools such as Pipelines, Model Registry, Training, and Endpoints. Strong Python programming skills , with experience in FastAPI , Flask , or similar web frameworks. Demonstrated experience building interactive dashboards or tools using Streamlit , Gradio , or Dash . Knowledge of MLOps workflows , including tools like MLflow , Weights & Biases , or Vertex AI Experiments . Experience working with vector stores (e.g., FAISS, Pinecone, Weaviate) in agent pipelines. Familiarity with retrieval-based QA , embeddings, and prompt engineering techniques. Experience with LangGraph or similar agent orchestration frameworks. Preferred Qualifications: Familiarity with cloud-native deployment and DevOps tools (Terraform, Docker, GCP Cloud Build). Background in UX/UI design thinking or rapid prototyping for AI-driven applications. Experience integrating LLMs with external APIs or private knowledge sources.

Position: AI ML Engineer Experience: 6-10 years Location: Pune/Indore office Work Mode: Onsite Notice Period: Immediate Joiner 15 days Job Summary: We are looking for highly motivated and experienced AI ML Engineers to join our advanced analytics and AI team. The ideal candidates will have strong proficiency in building, training, and deploying machine learning models at scale using modern ML tools and frameworks. Experience with LLMs (Large Language Models) such as OpenAI and Hugging Face Transformers is highly desirable. Key Responsibilities: Design, develop, and deploy machine learning models for real-world applications. Implement and optimize end-to-end ML pipelines using PySpark and MLflow. Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries. Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch. Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT, Hugging Face Transformers, etc. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Monitor model performance and continuously improve model accuracy and reliability. Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills: Strong programming experience in Python. Solid understanding of machine learning algorithms, model development, and evaluation techniques. Experience with PySpark for large-scale data processing. Proficient with MLflow for tracking experiments and model lifecycle management. Hands-on experience with Pandas, NumPy, and Scikit-learn. Familiarity or hands-on experience with LLMs (e.g., OpenAI, Hugging Face Transformers). Understanding of MLOps principles and deployment best practices. Strong domain expertise in the AI area including LLM. Computer Vision, Time Series, RAG, fine-tune large models, traditional ML models, etc., (AI depth). Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Preferred Qualifications: Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or a related field. Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. Strong analytical and problem-solving abilities. Excellent communication and teamwork skills.

Artificial Intelligence Specialist Skill-AI Specialist,Data Scientist,AI Model,AIML,AI Algorithms,Documents,Pytorch,TensorFlow,scikit-learn,AWS,Google Cloud Exp-2-5YRS In AIML PKG Upto-8.5 LPA Bangalore Ritika-8587970773 ritikab.imaginators@gmail.com Required Candidate profile HQ-B.tech,M.Tech,B.SC,M.SC,MCA Skill-AI Specialist, Data Scientist, AI Model, AIML, AI Algorithms, Documents, Pytorch, TensorFlow, scikit-learn,AWS,Google Cloud,Continuous Improvement, Git,AI Solution

Key Responsibilities: Deliver lectures, tutorials, and lab sessions for undergraduate/postgraduate Computer Science courses. Develop and update curriculum and course materials in line with the latest industry trends and academic standards. Guide students in academic projects, research, and internships. Evaluate and grade students coursework, assignments, and examinations. Conduct workshops, seminars, and guest lectures to enrich the learning environment. Engage in academic research and publish in peer-reviewed journals or conferences. Participate in departmental meetings, committees, and curriculum development. Stay current with developments in the field and integrate new technologies and methodologies in teaching. Qualifications: M.Tech / M.E. / Ph.D. in Machine learning and Artifical intelligence, AI& ML, or a related discipline. Prior teaching or industry experience is preferred. Strong knowledge of core subjects such as: Data Structures & Algorithms Operating Systems Computer Networks Database Management Systems Artificial Intelligence / Machine Learning / Data Science Programming Languages (Python, Java, C/C++, etc.) Excellent communication, presentation, and interpersonal skills. Preferred Skills: Experience with online teaching tools and Learning Management Systems (LMS). Ability to mentor students for competitive exams, coding competitions, and research. Published work in reputed journals or conference proceedings.