Senior AI/ML Engineer

About Bosc Tech Labs

Bosc Tech Labs is a leading technology company dedicated to building innovative AI-driven solutions. Our team is passionate about leveraging the latest advancements in AI/ML to solve real-world problems. We offer a collaborative work environment where innovation, creativity, and professional growth are encouraged.

Job Summary

We are looking for a highly skilled Senior AI/ML Engineer with expertise in Computer Vision and Natural Language Processing (NLP) to join our team. The ideal candidate will be responsible for designing, developing, and deploying AI/ML models while optimizing performance for real-world applications. If you are passionate about solving complex problems with cutting-edge technologies, we would love to hear from you!

Key Responsibilities

• Design, develop, and deploy AI/ML models for Computer Vision and NLP applications.

• Work with deep learning frameworks such as TensorFlow, PyTorch, or JAX.

• Develop and optimize object detection, image classification, and segmentation models.

• Implement NLP techniques such as text classification, named entity recognition (NER), summarization, and sentiment analysis.

• Preprocess and clean large datasets for training and evaluation.

• Fine-tune pre-trained models (e.g., BERT, GPT, ViT, YOLO, DETR) for specific tasks.

• Deploy AI models into production using REST APIs, Flask, FastAPI, or TensorFlow Serving.

• Utilize cloud platforms like AWS, GCP, or Azure for scalable AI/ML solutions.

• Conduct research on state-of-the-art AI advancements and implement innovative solutions.

• Work with Large Language Models (LLMs) like OpenAI’s GPT, LLaMA, or Claude.

• Collaborate with cross-functional teams including data engineers, software developers, and product managers.

Required Skills & Qualifications

• Bachelor’s/Master’s degree in Computer Science, AI/ML, or a related field.

• 3+ years of experience in AI/ML, Computer Vision, and NLP.

• Proficiency in Python and libraries such as NumPy, Pandas, OpenCV, and Transformers.

• Strong experience in deep learning frameworks like TensorFlow, PyTorch, or JAX.

• Hands-on experience in training, fine-tuning, and deploying ML models.

• Experience with cloud platforms (AWS, GCP, or Azure) for AI/ML solutions.

• Solid understanding of MLOps, model deployment, and monitoring techniques.

• Knowledge of database and big data technologies such as SQL, NoSQL, or Spark is a plus.

Preferred Qualifications

• Experience in edge AI or real-time AI applications.

• Familiarity with vector databases and retrieval-augmented generation (RAG).

• Contributions to open-source AI/ML projects or published research papers.