Job Description: Machine Learning Engineer About the Role We are seeking a highly skilled Machine Learning Engineer to join our data science and AI team. The ideal candidate will design, develop, and deploy scalable machine learning models to solve complex business problems, optimize decision-making, and improve user experiences. This role requires strong technical expertise in machine learning, data engineering, and software development, with the ability to work collaboratively across teams. Key Responsibilities Design, build, and optimize machine learning models for classification, regression, recommendation, natural language processing, and computer vision tasks. Develop scalable data pipelines for model training, evaluation, and deployment. Collaborate with data scientists, software engineers, and product managers to translate business requirements into machine learning solutions. Implement and maintain model monitoring, performance tracking, and retraining pipelines. Conduct experiments, perform feature engineering, and evaluate models using statistical and machine learning techniques. Deploy models into production environments using frameworks such as TensorFlow Serving, PyTorch, or cloud-based ML services. Ensure compliance with data governance, privacy, and security standards. Stay up to date with advancements in AI/ML research and industry best practices, integrating relevant innovations into projects. Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Mathematics, or a related field. Proven experience as a Machine Learning Engineer or a similar role in applied machine learning. Strong programming skills in Python and proficiency with libraries such as TensorFlow, PyTorch, scikit-learn, and pandas. Experience with data processing frameworks such as Apache Spark, Hadoop, or distributed computing systems. Knowledge of cloud platforms (AWS, Google Cloud, or Azure) and containerization tools (Docker, Kubernetes). Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management. Strong understanding of algorithms, data structures, probability, and statistics. Excellent problem-solving skills and the ability to work in a collaborative, fast-paced environment. Preferred Skills Experience with large language models (LLMs) and generative AI applications. Background in deep learning architectures (CNNs, RNNs, Transformers). Hands-on experience with vector databases, model explainability tools, or reinforcement learning. Contributions to open-source ML projects or published research in machine learning. What We Offer Opportunity to work on cutting-edge AI/ML projects with real-world impact. Competitive compensation and performance-based incentives. Comprehensive health, dental, and vision benefits. Professional development support, including conferences and certifications. A collaborative culture that values innovation, creativity, and continuous learning.
We are hiring a Machine Learning Engineer to develop and deploy machine learning models. The ideal candidate will have experience with various machine learning algorithms and frameworks.
We are hiring a Machine Learning Engineer to develop and deploy machine learning models. The ideal candidate will have experience with various machine learning algorithms and frameworks.
We are looking for a Machine Learning Engineer to join our Global GenAI Team and work on automation, intelligent search, content generation, and more.
We are looking for a Machine Learning Engineer to develop and deploy machine learning models using Python, TensorFlow, and scalable MLOps practices.
We are hiring a Machine Learning Engineer to develop and deploy machine learning models. The ideal candidate will have a strong background in machine learning algorithms.
Phentech is looking for a highly skilled Machine Learning Engineer with hands-on experience in chatbot development, LLM integration with databases, and LangChain. The ideal candidate should also have expertise in OCR (Optical Character Recognition) for images, PDF summarization, and text processing.
We are looking for a highly skilled Machine Learning Engineer with hands-on experience in chatbot development, LLM integration with databases, and LangChain. The ideal candidate should also have expertise in OCR (Optical Character Recognition) for images, PDF summarization, and text processing. Responsibilities: -Develop and optimize AI-powered chatbots using LLMs and LangChain. -Integrate LLMs with databases for dynamic responses and knowledge retrieval. -Implement OCR techniques for extracting text from images. -Build PDF summarization models to extract key insights from documents. -Work with structured and unstructured data to enhance AI-driven applications. -Optimize machine learning models for scalability and efficiency. -Collaborate with cross-functional teams to design and deploy AI solutions. Required Skills & Qualifications: -Strong proficiency in Python. -Hands-on experience with LangChain for LLM applications. -Expertise in OCR (Tesseract, PaddleOCR, etc.) for image processing. -Experience in PDF summarization using NLP techniques. -Familiarity with Vector Databases (Pinecone, FAISS, ChromaDB, etc.). -Knowledge of LLM fine-tuning and API integrations (OpenAI, Hugging Face, etc.). -Strong understanding of NLP, text embeddings, and AI-powered search. Preferred Qualifications: -Experience in deploying AI models in production. -Background in RAG (Retrieval-Augmented Generation). -Knowledge of MLOps and model monitoring. Why Phentech? -Work remotely from anywhere in Pakistan. -Opportunity to work with a dynamic and innovative team. -Competitive salary based on experience. -Be part of a passionate, innovative, and collaborative team. -Career growth opportunities based on your performance. How to Apply? Please send your resume to the email below with the subject line "Machine Learning Engineer"
We are hiring a machine learning engineer for a 6-month contract in Hyderabad. This role requires a skilled professional with 3+ years of experience in developing, deploying, and optimizing ML models. You will work on real-world AI solutions, collaborating with data engineers and scientists to build scalable machine-learning applications. Key Responsibilities: Design, develop, and deploy machine learning models for business applications. Perform data preprocessing, feature engineering, and model optimization. Work with deep learning frameworks like TensorFlow, PyTorch, and Scikit-Learn. Collaborate with engineering teams to integrate models into production. Deploy models on cloud platforms (AWS, Azure, GCP) and optimize for scalability. Conduct A/B testing, hyperparameter tuning, and performance evaluation. Stay updated with the latest advancements in AI and ML.
We are seeking a Machine Learning Engineer to develop and deploy machine learning models. The ideal candidate will have experience in algorithm development and data analysis.