Highlights
Innovative technology stack, scalable solutions, opportunity for continuous learning, diverse team environment.
Description
Job Summary
pThe AI/ML Developer role is designed for innovative and technically skilled professionals who are passionate about building intelligent, data-driven solutions using Machine Learning, Artificial Intelligence, and Generative AI technologies. This position focuses on designing, developing, deploying, and optimizing scalable AI-powered applications that solve complex business challenges and enhance operational efficiency.
Responsibilities
- Design, develop, and deploy Machine Learning, Deep Learning, and AI-powered applications for business use cases.
- Build predictive analytics models, anomaly detection systems, recommendation engines, and semantic search solutions.
- Develop and optimize Generative AI applications using Large Language Models (LLMs) and modern AI frameworks.
- Create scalable Python-based solutions for machine learning workflows and enterprise automation.
- Collaborate with software development, product management, and data engineering teams to deliver AI-driven solutions.
Required Skills
- Machine Learning
- Data Engineering
- Python Programming
- Deep Learning
- Natural Language Processing (NLP)
Required Skills Explained
- Machine Learning and Deep Learning: Understanding of various ML algorithms and DL techniques for building predictive models.
- Artificial Intelligence and Generative AI: Knowledge of AI principles and experience with generative AI technologies such as Large Language Models (LLMs).
- Python Programming: Proficiency in Python for developing AI applications, including object-oriented design and data processing.
- Natural Language Processing (NLP) and Text Analytics: Skills in NLP, text analytics, and semantic search.
- PyTorch, TensorFlow, and Scikit-Learn Frameworks: Knowledge of these frameworks for model training, evaluation, and deployment.
- Data Engineering and Feature Engineering: Ability to develop data pipelines and perform feature engineering for ML models.
- Vector Databases and Embedding Models: Experience with vector databases for embedding storage and similarity search.
- REST API Development: Skills in developing RESTful APIs for integrating AI models into business applications.
- Statistical Analysis and Mathematical Modeling: Proficiency in statistical analysis, data interpretation, and mathematical modeling techniques.
- Version Control and CI/CD Concepts: Knowledge of Git version control systems and continuous integration/continuous deployment (CI/CD) practices.
Who is this for
pThis role is ideal for professionals with a passion for AI and machine learning, looking to work on cutting-edge technologies and real-world innovation initiatives. Strong collaboration skills are essential.
Why This Job is a Good Opportunity
ulliYou will work on cutting-edge AI technologies with the opportunity to innovate in real-world applications.liThe role offers hands-on experience with advanced ML frameworks like PyTorch, TensorFlow, and Scikit-Learn.liCollaboration with diverse teams provides a rich learning environment and exposure to various technological stacks.liYou will contribute to projects that enhance operational efficiency and solve complex business challenges.liThe position supports your career growth in AI, ML Engineering, NLP, Generative AI, and intelligent software development.
Interview Preparation Tips
- Review key machine learning algorithms and deep learning techniques thoroughly.
- PRACTICE coding problems on platforms like LeetCode or Kaggle to enhance your Python skills.
- Study the use cases of LangChain, RAG systems, and other AI technologies mentioned in the job description.
- Prepare examples from previous projects that demonstrate your experience with data engineering, feature engineering, and model deployment.
- Be ready to discuss your approach to solving complex business problems using AI solutions.
Career Growth in This Role
pThis role is ideal for professionals who want to advance their careers in Artificial Intelligence and Machine Learning Engineering. You will have the opportunity to work on innovative projects that push the boundaries of what's possible with AI technologies. As you gain experience, you can explore specializations such as NLP, Generative AI, or intelligent automation frameworks. The role also offers a pathway to leadership positions, where you can mentor other developers and shape the direction of AI initiatives within an organization.
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Skills
Frequently Asked Questions
What is the role of an AI/ML Developer?The role involves designing, developing, deploying, and optimizing scalable AI-powered applications that solve complex business challenges.
What technical skills are required for this position?Key skills include Machine Learning, Deep Learning, Python Programming, Data Engineering, and Natural Language Processing (NLP).
Is a Master's degree mandatory for this job?A Master's degree in AI, ML, or related fields is preferred but not always mandatory. Strong technical expertise and experience are highly valued.
