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Artificial Intelligence Engineer
3 months ago
Experience: 4+ years of experience
Location: Pune/Gurgaon/Bangalore
Job Details and Requirements:
- Hands-on experience in machine learning (ML) is essential
- Familiarity with AI/ML techniques and deep learning
- Experience in NLP (PyTorch, TensorFlow, etc.) is a plus
- Proficiency in Unix, Cloud (AWS preferred), Full Stack, Databases (SQL), and software development best practices
- Understanding of genomics data is desirable
Job Description:
We are looking for a highly skilled AI/ML Engineer to become part of our innovative team.
The ideal candidate will possess practical experience in ML, AI/ML techniques, deep learning, and/or NLP utilizing frameworks like PyTorch and TensorFlow.
Proficiency in Unix, cloud platforms (preferably AWS), full stack development, databases, and software development best practices is crucial.
Furthermore, a grasp of genomics data is highly advantageous.
Key Responsibilities:
- Design, develop, and deploy ML models and algorithms
- Implement deep learning solutions for intricate problems
- Enhance the performance and scalability of ML models
- Develop NLP applications using PyTorch, TensorFlow, etc.
- Apply techniques for text processing and sentiment analysis
- Analyze and derive insights from genomics data
- Develop and maintain web applications using a full stack approach
- Deploy and manage applications on AWS cloud platform
- Design, implement, and optimize SQL and NoSQL databases
- Utilize Unix/Linux for development and follow best software practices
- Collaborate with diverse teams and participate in agile ceremonies
Required Skills and Qualifications:
Education: Bachelor's or Master's degree in Computer Science, Data Science, Bioinformatics, or related field
Technical Skills: Proficiency in ML frameworks like PyTorch, TensorFlow, and Scikit-learn
Strong comprehension of deep learning architectures and NLP tools
Proficient in Unix/Linux, cloud platforms (especially AWS), full stack development, Python, JavaScript, SQL, NoSQL, and genomics data
Professional Experience: 4 - 8 years in AI/ML engineering with deploying ML models and analyzing large datasets
Soft Skills: Excellent problem-solving, communication, and interpersonal skills
Ability to thrive in a collaborative environment and a drive for continuous learning and growth