55 Model Training Jobs - Page 3

Description We are seeking a skilled NLP Engineer to join our team in India. The ideal candidate will have a strong background in natural language processing and machine learning, with a passion for developing innovative solutions that leverage language data. Responsibilities Develop and implement natural language processing (NLP) models and algorithms to solve real-world problems. Collaborate with data scientists and software engineers to integrate NLP capabilities into applications. Analyze and preprocess large datasets to improve model performance. Conduct research on the latest NLP techniques and frameworks to enhance existing systems. Optimize and fine-tune NLP models for better accuracy and efficiency. Skills and Qualifications 3-8 years of experience in Natural Language Processing or related field. Proficiency in programming languages such as Python, Java, or Scala. Strong understanding of NLP libraries and frameworks like NLTK, SpaCy, TensorFlow, or PyTorch. Experience with machine learning techniques and algorithms relevant to NLP. Familiarity with text preprocessing, feature extraction, and model evaluation metrics. Knowledge of deep learning architectures for NLP, including LSTM, Transformers, and BERT. Ability to work with large datasets and experience with data manipulation tools. Strong problem-solving skills and the ability to work in a collaborative environment.

Description We are seeking a Generative AI Trainer to join our dynamic team in India. In this role, you will be responsible for training generative AI models, developing training datasets, and collaborating with teams to enhance AI applications. The ideal candidate will have a solid foundation in machine learning and a passion for advancing AI technologies. Responsibilities Develop and curate training datasets for generative AI models. Assist in the design and implementation of training modules for AI applications. Conduct training sessions for AI models, ensuring adherence to best practices. Collaborate with cross-functional teams to integrate AI solutions into existing systems. Evaluate the performance of generative AI models and suggest improvements. Skills and Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 1-3 years of experience in machine learning or AI model training. Strong understanding of natural language processing (NLP) and computer vision concepts. Proficiency in programming languages such as Python, Java, or R. Experience with AI frameworks like TensorFlow, PyTorch, or Keras. Familiarity with data preprocessing techniques and tools. Good analytical and problem-solving skills. Excellent communication and teamwork abilities.

Job Description: We are seeking a skilled and innovative AI/ML Engineer to design, build, and deploy machine learning solutions that solve complex business challenges in mission-critical industries. You will work with multidisciplinary teams to apply AI, ML, and deep learning techniques to large-scale datasets and real-time operational systems. Key Responsibilities: Design and implement end-to-end ML pipelines: data ingestion, model training, evaluation, and deployment Build predictive and prescriptive models using structured, unstructured, and real-time data Develop and fine-tune deep learning models for NLP, computer vision, or time series forecasting Integrate ML models into enterprise platforms, APIs, and dashboards Work closely with domain experts, data engineers, and DevOps teams to ensure production-grade performance Conduct model validation, bias testing, and post-deployment monitoring Document workflows, architecture, and results for reproducibility and audits Research and evaluate new AI tools, techniques, and trends Required Skills & Qualifications: Bachelor's or Masters degree in Computer Science, Data Science, Engineering, or related field 5-7 years of hands-on experience in developing and deploying ML models Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, XGBoost) Experience with NLP (BERT, spaCy) or CV frameworks (OpenCV, YOLO, MMDetection) Familiarity with data processing tools (Pandas, Dask, Apache Spark) Proficient in SQL and experience with time-series or sensor data Knowledge of ML Ops practices and tools (Docker, MLflow, Airflow, Kubernetes) Industry experience in Oil & Gas, Power Systems, or Urban Analytics Hands-on with edge AI (Jetson, Coral), GPU compute, and model optimization Cloud services: AWS SageMaker, Azure ML, or Google AI Platform Familiarity with REST APIs, OPC-UA integration, or SCADA data sources Knowledge of responsible AI practices (explainability, fairness, privacy).

As a Prompt Engineer , you will play a crucial role in designing and refining the conversational prompts that power our AI voice agents. You will work closely with AI researchers, product managers, and developers

Role & responsibilities Design, develop, and deliver training sessions on AI, Machine Learning, Deep Learning, and Data Science topics. Conduct both theoretical and practical sessions with hands-on project implementation. Create and update course materials, case studies, and exercises in line with current industry trends. Assess learners progress through assignments, projects, and tests, and provide constructive feedback. Guide students on building real-world AI & Data Science projects. Stay updated with emerging tools, technologies, and best practices in AI and Data Science. Preferred candidate profile Strong knowledge in Python programming, Data Analysis, and Data Visualization (Pandas, NumPy, Matplotlib, Seaborn). Hands-on expertise in Machine Learning (Scikit-learn), Deep Learning (TensorFlow, Keras, or PyTorch). Experience with data preprocessing, feature engineering, model training, and deployment. Familiarity with Big Data tools (Spark, Dask) and SQL (optional but preferred). Proficient in developing innovative teaching strategies to enhance student learning outcomes. Good communication and presentation skills to deliver concepts clearly to learners. Prior experience in training, mentoring, or teaching will be an added advantage. Eligibility Bachelors/Masters degree in Computer Science, Data Science, AI, or a related field. 2+ years of relevant industry or academic experience in AI & Data Science.