Highlights
Innovative environment, scalable projects, modern tools, continuous learning, data-driven solutions.
Description
Job Summary
pWe are seeking an experienced AI ML Engineer to join our dynamic team at Niyantran. This role involves designing, developing, and deploying machine learning models that support our products and internal initiatives.
Responsibilities
- Collecting and preprocessing data
- Performing exploratory data analysis
- Building and training machine learning models
- Evaluating model performance using appropriate metrics
- Implementing production-ready ML pipelines
- Collaborating with software engineers, data scientists, and product stakeholders to integrate solutions into existing systems
Required Skills
- Data preprocessing
- Machine learning modeling
- Deep learning experience
- Python programming
- Version control systems
Required Skills Explained
- Strong foundation in Computer Science and Algorithms, with the ability to design efficient, scalable solutions.
- Proficiency in Pattern Recognition and Neural Networks, including experience building and tuning deep learning models.
- Solid understanding of Statistics and probabilistic methods for model evaluation, hypothesis testing, and data analysis.
- Hands-on experience with programming languages commonly used in ML (such as Python) and relevant libraries/frameworks (such as TensorFlow, PyTorch, scikit-learn).
- Experience with data preprocessing, feature engineering, and working with structured and unstructured datasets.
- Familiarity with software engineering practices, including version control, testing, code review, and documentation.
Who is this for
pThis role is ideal for candidates with a strong foundation in computer science, experience in machine learning and deep learning, and an ability to work collaboratively on-site.
Why This Job is a Good Opportunity
ulliWork on cutting-edge AI and ML projects that have real-world impact.liCollaborate with a diverse team of experts across various disciplines to develop innovative solutions.liBe part of a supportive environment that values continuous learning and practical application of skills.liAccess modern tools and technologies to enhance your expertise in AI and ML.liPotential for career growth within a technology-focused organization with a strong mission.
Interview Preparation Tips
- Review the job description thoroughly to understand key requirements and desired skills.
- Familiarize yourself with popular ML frameworks like TensorFlow, PyTorch, and scikit-learn.
- Prepare examples of previous projects or work that demonstrate your proficiency in AI/ML.
- Practice explaining complex technical concepts in simple terms for non-specialist audiences.
- Pack relevant case studies that showcase your problem-solving skills and ability to implement solutions effectively.
Career Growth in This Role
pThe role of an AI ML Engineer offers numerous opportunities for career growth. You can advance your knowledge in specific areas such as deep learning, natural language processing, or computer vision. Additionally, the position provides a platform to take on more complex projects and lead teams, which can accelerate your professional development. As you gain experience, you may also explore managerial roles that involve overseeing entire project lifecycles and mentoring junior team members.
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Skills
Frequently Asked Questions
What is the role of this position?The AI ML Engineer will design, develop, and deploy machine learning models to support Niyantran's products.
Is on-site work mandatory?Yes, the role involves working collaboratively on-site in New Delhi.
What are the qualifications required?Candidates should have a degree in Computer Science or related field and experience with machine learning frameworks like TensorFlow and PyTorch.
