Artificial Intelligence Engineer
4 weeks ago
Job Title : AI Engineer.
Experience : 4+ years of experience.
Location : Pune/Gurgaon/Bangalore.
Job Details and Requirements:.
- Handson experience in ML is key.
- AI/ML techniques, deep Learning.
OR.
- Hands on experience in , NLP (PyTorch, TensorFlow, etc.) is key.
- Unix, Cloud (AWS preferred), Full Stack, Databases (SQL)/Software development best practices.
- Understanding of genomics data.
Job Description :
- We are seeking a highly skilled AI/ML Engineer to join our innovative team.
- The ideal candidate will have hands-on experience in machine learning (ML), AI/ML techniques, deep learning, and/or natural language processing (NLP) using frameworks like PyTorch and TensorFlow.
- Proficiency in Unix, cloud platforms (AWS preferred), full stack development, databases, and software development best practices is essential.
- Additionally, an understanding of genomics data is highly desirable.
Key Responsibilities :
- Machine Learning and AI/ML Techniques: Design, develop, and deploy ML models and algorithms.
- Implement deep learning techniques to solve complex problems.
- Optimize ML models for performance and scalability.
Natural Language Processing (NLP) :
- Develop NLP models and applications using frameworks such as PyTorch and TensorFlow.
- Implement techniques for text processing, sentiment analysis, and language generation.
Genomics Data :
- Analyze and interpret genomics data to extract meaningful insights. Apply ML techniques to solve problems related to genomics and bioinformatics.
Full Stack Development :
- Develop and maintain web applications with a full stack approach.
- Work on both frontend and backend development, ensuring seamless integration.
Cloud Computing :
- Deploy and manage applications on AWS cloud platform.
- Utilize AWS services such as EC2, S3, Lambda, and RDS for ML and data processing.
Databases :
- Design, implement, and maintain SQL and NoSQL databases.
- Optimize database performance and ensure data integrity.
- Unix and Software Development Best Practices :
- Utilize Unix/Linux for development and deployment tasks.
- Follow software development best practices including version control, testing, and continuous integration.
Collaboration and Communication :
- Collaborate with cross-functional teams including data scientists, bioinformaticians, and software engineers.
- Participate in agile ceremonies such as sprint planning, daily stand-ups, and retrospectives.
Required Skills and Qualifications :
Education :
- Bachelor's or Master's degree in Computer Science, Data Science, Bioinformatics, or a related field.
Technical Skills :
- Proficient in ML frameworks such as PyTorch, TensorFlow, and Scikit-learn.
- Strong understanding of deep learning architectures (CNNs, RNNs, GANs, etc.).
- Hands-on experience with NLP techniques and tools.
- Proficient in Unix/Linux environment.
- Experience with cloud platforms, preferably AWS.
- Full stack development skills with proficiency in languages such as Python, JavaScript, and frameworks like React or Angular.
- Strong SQL and NoSQL database skills.
- Familiarity with genomics data and bioinformatics tools.
Professional Experience :
- 4 - 8 years of professional experience in AI/ML engineering.
- Demonstrated experience in developing and deploying ML models.
- Proven ability to handle and analyze large datasets.
Soft Skills :
- Excellent problem-solving skills and attention to detail.
- Strong communication and interpersonal skills.
- Ability to work effectively in a collaborative team environment.
- Self-motivated with a passion for continuous learning and improvement.
(ref:hirist.tech)-
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