AI/ML Engineer

4 weeks ago


India Innodata Inc. Full time
Innodata is a global digital services and solutions company. Our technology and services power leading information products and online retail destinations around the world. Our solutions help prestigious enterprises harness the power of digital data to re-imagine how they operate and drive performance. We serve publishers, media & information companies, digital retailers, banks, insurance companies, government agencies and many other industries. We take a "technology-first†approach, applying the most advanced technologies in innovative ways. Founded in 1988, we comprise a team of 5,000 diverse people in 8 countries who are fiercely dedicated to delivering services and solutions that help the world make better decisions

Job Summary:

A skilled AI/ML Engineer to design, develop, and deploy machine learning models and AI solutions. The ideal candidate will have a strong background in machine learning, deep learning, and NLP, along with experience in cloud platforms and productionizing models.

Key Responsibilities:

1. Develop and optimize machine learning models for classification, regression, NLP and computer vision tasks.
2. Implement and fine-tune deep learning architectures using frameworks like TensorFlow, PyTorch, or Hugging Face.
3. Deploy models to production using MLOps (Machine learning Operations) best practices, including Docker, Kubernetes.
4. Collaborate with data engineers, software developers, and business stakeholders to integrate AI solutions into applications.
5. Monitor and maintain deployed models, ensuring they remain effective and scalable.
6. Stay updated with the latest trends in AI research, frameworks, and tools.

Required Skills & Qualifications:

1. Bachelor's/Master's/Ph.D. in Computer Science, Data Science, AI/ML.
2. 5+ years of experience in machine learning, deep learning, and NLP (spaCy, Transformers, NLTK).
3. Excellent in Python and ML frameworks like scikit-learn.
4. Strong knowledge of Vector Databases, Generative AI and LLMs (BERT, ChatGPT etc.).
5. Hands-on experience with computer vision tasks (OpenCV, FastAI),
6. Strong problem-solving skills and ability to work on complex AI projects.
7. Well versed with Cloud computing like lambda functions

Preferred Skills:

1. Familiarity with hyperparameter tuning, and model explainability.
2. Knowledge of graph neural networks (GNNs) or knowledge graphs.
3. Contributions to open-source AI projects or research publications.
4. Knowledge of CI/CD pipelines and cloud services (AWS, GCP, Azure).

Soft Skills:

1. Ability to convey ideas clearly, both verbally and in writing
2. Ability to collaborate effectively with others while also guiding and motivating teams.
3. Willing to adapt to new challenges and environments, coupled with strong analytical thinking to resolve issues efficiently.
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