Overview We are hiring a Machine Learning Engineer with strong experience in Computer Vision , Natural Language Processing (NLP) , and Backend Development . You’ll be responsible for training and deploying deep learning models, implementing research papers, and building production-ready APIs using Flask, FastAPI, or Django. Key Responsibilities Develop ML/DL models for: Computer Vision : classification, object detection, segmentation. NLP : text classification, NER, summarization. Implement research papers and build production-ready prototypes. Use libraries such as PyTorch , OpenCV , Pillow , TorchVision , and Transformers . Optimize models with techniques like quantization , pruning , ONNX export , and TorchScript . Build and deploy RESTful APIs using FastAPI , Flask , or Django . Containerize applications using Docker and deploy them to cloud or local servers. Write clean, efficient, and scalable code for backend and ML pipelines. Required Skills Solid understanding of Machine Learning and Deep Learning . Experience with: PyTorch , OpenCV , Pillow Computer Vision (detection, segmentation, classification) NLP libraries like Hugging Face Transformers , spaCy , NLTK Strong backend skills using FastAPI , Flask , or Django . Familiar with Docker , Git , and Linux environments. Experience with model deployment and optimization tools (ONNX, TorchScript). Nice to Have Knowledge of Generative AI / LLMs Experience with ONNX , TensorRT , or TorchScript MLOps tools: MLflow , DVC , Airflow Experience with Cloud platforms (AWS, GCP, Azure) Qualifications Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Data Science, or a related field. Job Type: Full-time Pay: ₹272,876.24 - ₹1,548,746.18 per year Schedule: Evening shift Monday to Friday Work Location: In person
JD for Node JS Technical Skill Set: 1. Good knowledge of Node.js with 1+ years of minimum experience 2. Understanding the nature of asynchronous programming and its quirks and workarounds. 3. Good Knowledge of Node.js Frameworks. 4. Proficiency in RESTful APIs and API Communications. 5. Working Knowledge on User Authentication and Authorization. 6. Integration of multiple data sources and databases into one system. 7. Proficient understanding of code versioning tools, such as GitHub, Bitbucket. 8. Can Write Efficient Codes. 9. Error Handling Skills. Job Responsibilities: 1. Collaborate with cross-functional teams to define, design, and ship new features. 2. Ability to understand business requirements and translate them into technical requirements. 3. Building big, robust, scalable, and maintainable Node JS application. 4. Debugging, Fixing bugs, Identifying Performance Issues, and Improving App Performance 5. Developing, Deploying, and maintaining Multistage, Multi-tier applications. Job Types: Full-time, Permanent Pay: ₹336,000.00 - ₹450,000.00 per year Benefits: Food provided Schedule: Day shift Morning shift Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) software development: 1 year (Preferred) HTML5: 1 year (Preferred) Work Location: In person
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.,
The job involves promoting BluH and MarketConnect while cultivating strong relationships within the shrimp farming industry. Your main responsibility will be to drive the adoption of our AI-Powered seed counter. To excel in this role, you should have a background in aquaculture, with a focus on shrimp hatchery operations. Additionally, a solid understanding of shrimp hatchery practices is essential. Being digital-savvy and comfortable with computers and mobile apps is crucial for success in this position. This is a full-time role with an evening shift from Monday to Friday. The work location is in person. If you meet the qualifications and are passionate about making an impact in the aquaculture industry, we would love to hear from you.,