Machine Learning Engineer Computer Vision, NLP & Backend iPROTECHS Commercial Solutions Pvt Ltd

3.0 - 7.0 years

0 Lacs

hyderabad, telangana

On-site

As a Machine Learning Engineer at our company, you will be utilizing your expertise in Computer Vision, Natural Language Processing (NLP), and Backend Development. Your primary responsibilities will include developing ML/DL models for Computer Vision tasks such as classification, object detection, and segmentation, as well as for NLP tasks like text classification, Named Entity Recognition (NER), and summarization. You will also be implementing research papers and creating production-ready prototypes. To excel in this role, you must have a solid understanding of Machine Learning and Deep Learning concepts. Proficiency in tools and libraries like PyTorch, OpenCV, Pillow, TorchVision, and Transformers is essential. You will be optimizing models using techniques such as quantization, pruning, ONNX export, and TorchScript. Moreover, you will be tasked with building and deploying RESTful APIs using FastAPI, Flask, or Django, and containerizing applications using Docker for deployment on cloud or local servers. Your role will also involve writing clean, efficient, and scalable code for backend and ML pipelines. Strong backend skills using FastAPI, Flask, or Django are required, along with experience in utilizing NLP libraries like Hugging Face Transformers, spaCy, and NLTK. Familiarity with Docker, Git, and Linux environments is crucial for this position, as well as experience with model deployment and optimization tools such as ONNX and TorchScript. While not mandatory, it would be advantageous to have knowledge of Generative AI / Large Language Models (LLMs) and experience with MLOps tools like MLflow, DVC, and Airflow. Additionally, familiarity with cloud platforms such as AWS, GCP, or Azure would be a plus. The ideal candidate should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. This is a full-time position with an evening shift schedule from Monday to Friday. The work location is in person.,

Posted 1 day ago

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Hiring for AI Engineer | Upto 15-45 LPA Grapevine Round1 AI

3.0 - 10.0 years

0 Lacs

karnataka

On-site

As an AI Engineer, you will have the exciting opportunity to work with companies seeking individuals who are passionate and hands-on in developing and scaling intelligent features directly into their products. In this fast-paced and high-impact role, you will be instrumental in designing machine learning pipelines, fine-tuning models, and seamlessly deploying them. Your responsibilities will include designing, training, and deploying machine learning and deep learning models, such as NLP, vision, or tabular models. You will collaborate closely with product and engineering teams to build end-to-end AI-driven features. Additionally, you will be responsible for building and maintaining data pipelines, monitoring model performance in production environments, researching and implementing cutting-edge techniques to enhance model outcomes, optimizing models for performance and scalability, and ensuring reproducibility and version control of model experiments. To excel in this role, you should have a strong foundation in machine learning and deep learning algorithms. Proficiency in Python and ML libraries like PyTorch, TensorFlow, and Scikit-learn is essential. Experience with model deployment and serving, including REST APIs, ONNX, and TorchScript, will be beneficial. Familiarity with data handling tools such as Pandas and NumPy, as well as workflow tools like MLflow and Airflow, is also required. Strong problem-solving skills and an iterative, experiment-driven mindset are key attributes for success in this position. In terms of qualifications, a minimum of 3-10 years of relevant experience is required. Exposure to additional areas such as LLMs, embeddings, vector databases (e.g., FAISS, Pinecone), MLOps or DevOps workflows, GPT-like models, retrieval-augmented generation (RAG), multimodal systems, cloud platforms (AWS, GCP, or Azure), and streaming data or real-time systems will be considered a bonus. Joining this role offers you high ownership and the opportunity to shape AI-first product experiences. You can expect a fast-paced learning environment with exposure to the entire product lifecycle. The collaborative team setting provides room for growth and leadership opportunities, allowing you to work on cutting-edge ML applications with significant real-world user impact.,

Posted 4 days ago

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