Senior AI/ML Engineer
4 days ago
Job Context:
TechnoNext is seeking a skilled Senior AI/ML Software Engineer with a robust background in data science and engineering, particularly in NLP and tabular data. Join our dynamic team and contribute to enhancing our AI solutions, including recommendation systems, ETA predictions, and customer support bots. We value innovation, autonomy, and a passion for working with large-scale datasets.
Key Accountabilities:
- Design and develop AI services in NLP and tabular data.
- Conduct data analysis, feature engineering, and model development on large-scale datasets.
- Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions.
- Optimize and fine-tune machine learning models to improve accuracy and performance.
- Validate and evaluate machine learning models using appropriate metrics and statistical methods.
- Develop and maintain data infrastructure and tools to support data processing workflows.
- Ensure the scalability and robustness of machine learning solutions in production environments.
- Stay up to date with the latest advancements and best practices in the field.
- Communicate findings and insights to stakeholders through reports, presentations, and visualizations.
- Participate in code reviews and ensure adherence to best practices in model development and deployment.
Required Expertise and Competencies:
Technical:
- 4-6 years of professional experience in AI/ML and data science, focusing on NLP or tabular data-related projects.
- Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field.
- Strong programming skills in Python, C++, or Java.
- Advanced problem-solving and analytical skills for handling complex data challenges.
- Fundamental understanding of deep learning models and architectures (e.g., RNN, CNN, attention mechanisms, transformers).
- Proficiency in relevant libraries (e.g., NLTK, spaCy, Transformers, NvTabular) and machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
- Experience with data preprocessing, augmentation, and quality assurance.
- Familiarity with containerization technologies such as Docker or Kubernetes.
- Familiarity with GenAI development (e.g., Llamaindex, Langchain, Prompt Engineering, Vector Databases).
- Familiarity with SQL and NoSQL databases, as well as cloud-based data storage systems.
Behavioral:
- Strong team player with leadership skills.
- Open to learning new technologies and adapting to advancements.
- Ability to work under strict deadlines and achieve challenging targets.
- Detail-oriented with a strong work ethic.
- Excellent communication and collaboration skills.
- Demonstrated self-drive, initiative, and proactive approach to work.
Additional Requirements:
- Clear and effective communication skills, with the ability to interact with all areas of the organization.
- Ability to analyze business needs and develop innovative solutions.
- Knowledge of client/end-user management.
- Continuously innovative and capable of meeting deadlines.
- Experience with recommendation systems and ETA predictions is a plus.
- Experience with distributed computing and parallel processing frameworks is a plus.
Salary:
- Negotiable
- Open to discussion. Salary will be determined based on expertise and experience of the candidates.
Compensation & other benefits:
- Breakfast & Lunch Facilities: Full Subsidized
- Yearly Salary Review based on performance
- Festival Bonus: 2 (Yearly)
- Health Insurance (family)
- Learning friendly working environment
- Weekends: Friday & Saturday
- Yearly Earned Leave, Sick Leave and Casual Leave facility
- And others
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