We are seeking a skilled and innovative Machine Learning Engineer to join our team. As a Machine Learning Engineer at GIGA TECH Limited, you will be responsible for developing and deploying cutting-edge machine learning models and systems. You will work closely with cross-functional teams to design and Implement solutions  that enhance our products and services using state-of-the-art techniques in natural language processing (NLP), computer vision, and more

Key Responsibilities:

• Design, implement, and maintain machine learning models and pipelines for various projects such as shallow parsing, sentiment analysis, named entity recognition, lemmatization, language modeling, and computer vision applications.
• Support the development of data pipelines for efficient data extraction, preprocessing, and augmentation.
• Collaborate with senior engineers to ensure the scalability and reliability of data pipelines for large-scale datasets.
• Participate in the deployment of machine learning models into production environments using containerization technologies (e.g., Docker) and create APIs for seamless integration with other systems.
• Optimize model performance through hyperparameter tuning, ensemble methods, and deployment of best practices in model evaluation and validation.
• Stay up-to-date with the latest advancements in machine learning and AI technologies. Contribute to research initiatives, publish papers, and participate in conferences as appropriate.
• Work collaboratively with software engineers, data engineers, and product managers to translate project requirements into concrete deliverables. Maintain clear and concise documentation of all developed models and systems.
• Maintain clear and concise documentation of developed models and systems. 

Required Skills and Qualifications:

• Bachelor’s or master’s degree in Computer Science.
• Strong problem-solving skills and the ability to learn quickly.
• Solid understanding of machine learning algorithms and techniques (e.g., deep learning, reinforcement learning, etc.).
• Strong programming skills in Python and proficiency with libraries such as PyTorch, TensorFlow, Transformer, sci-kit-learn, etc.
• Proven experience in developing and deploying machine learning models and systems across various domains such as NLP, computer vision, and deep learning.
• Experience with building scalable data pipelines and working with large-scale datasets.
• Strong communication skills and ability to collaborate effectively in a team environment.

Preferred Qualifications:

• Extensive experience in developing, deploying, and optimizing machine learning models in production environments.
• Proven expertise in leading NLP or computer vision projects, with a strong understanding of state-of-the-art techniques.
• Proficiency in version control systems (e.g., Git) and demonstrated ability to drive collaborative coding practices in large teams.
• Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure)
• Expertise in containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for deploying models at scale.

Other Benefits:

• Weekly Holiday: 2 Days
• Public holidays as gazette by the Govt. and organization’s decision
• Paternity / Maternity Leave
• Festival Bonus: 2
• Salary review: Yearly
• Mobile Allowance
• Health Insurance
• Prayer room facility
• Recreation facility: Indoor Games
• Scope for Professional Development & Career Growth
• Other perks as per Company Policy

Application Deadline: November 15, 2024

Application Procedure: Interested and potential candidates fulfilling the above criteria are requested to apply through Apply Now .