Machine Learning Engineer I

About the Role:

We're searching for a Machine Learning Engineer - I with 1-2 years of experience to join our innovative team. As a vital contributor to our AI/ML/DL solutions division, you'll be instrumental in the complete lifecycle of research, development, and deployment of advanced artificial intelligence and machine learning solutions. Additionally, you'll play a pivotal role in crafting automation solutions, harnessing your proficiency in Python programming.

Responsibilities:

• Collaborate closely with interdisciplinary teams to grasp business objectives and translate them into robust AI/ML/DL solutions.
• Conduct research, conceive designs, and execute machine learning models tailored for natural language processing, computer vision, and multi-modal applications.
• Engineer algorithms for efficient data analysis and feature extraction, ensuring optimal performance.
• Participate actively in the entire software development lifecycle, encompassing coding, rigorous testing, seamless deployment, and continuous maintenance of ML solutions.
• Leverage Python as the primary programming language for all development endeavors.
• Stay abreast of the latest advancements in machine learning techniques and algorithms, integrating cutting-edge practices into our solutions.
• Contribute to the development of automation solutions, streamlining operational processes and enhancing efficiency.
• Collaborate closely with data engineers to ensure seamless integration of ML models into production systems.

Requirements:

• 1-2 years of professional experience in machine learning engineering or a related role.
• Proficiency in Python programming language.
• Fundamental understanding of mathematical techniques involved in ML and DL schemas (Instance-based methods, Boosting methods, PGM, Neural Networks, etc.)
• Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution, etc.) along with a knack to imagine new schemas that work for the given data.
• Deep familiarity with leading AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn, and the ability to utilize them effectively in solution development.
• NLP expertise, especially in Language modeling, at-least experience in using pre-trained language models (Transformer /GPT /BERT)
• Basic hands-on experience in databases like Elasticsearch, MongoDB, VectorDBs,etc.
• Strong grasp of natural language processing, computer vision, and multi-modal processing principles.
• Proven experience in developing and deploying computer vision applications using deep learning techniques with strong understanding of vision algorithms, including object detection, image classification, semantic segmentation, YOLO, Faster R-CNN, SSD, Vision Transformers, etc.
• Demonstrable experience in building and deploying machine learning models in production environments.
• Sound understanding of software engineering principles and best practices.
• Exceptional problem-solving and analytical skills.
• Ability to thrive in both independent and collaborative work environments.
• Excellent communication and interpersonal abilities.

Preferred Qualifications:

• Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Proficiency in containerization technologies such as Docker and Kubernetes.
• Familiarity with version control systems such as Git.
• Comprehensive knowledge of deep learning architectures and techniques.
• Prior experience with big data processing frameworks.
• Ability to quickly adapt to new tools and technologies.

Please Note :

• We are currently looking for candidates who can work from the Bangalore office at least 4 days a week (we have 5 days working, Saturday and Sunday off)
• We are looking for candidates who can join us immediately.