Experience: 4 to 8 years

Roles & Responsibilities:

• Demonstrated technical capability to design, develop and deploy Data pipelines and Machine learning models.

• Work with large volumes of data; extract and manipulate large datasets using standard tools such as Python and SQL.

• Analyse large datasets to derive insights and patterns.

• Proficiency with a deep learning ML framework & libraries such as Pandas, TensorFlow, Numpy, Sci-Kit, PyTorch, etc.

• Must have good exposure and Understanding in API based architectures (Flask, Django, Japronto, etc).

• Proficiency with NLP Skills/Tools (NLP, HMM, CRF, LDA, Word2Vec, Seq2Seq, spaCy, Nltk, Gensim, CoreNLP, NLU, NLG, etc.), preferred.

• Strong project experience involving algorithm development for computer vision applications.

• Experienced in creating high-performance algorithms, prototypes and predictive models.

• Experience with start-ups, taking a product from concept to a mature stage is an added advantage.

Qualifications & Skills:

• Bachelor's/Master’s degree in computer science/ IT engineering or equivalent.

• Min. 5+ years of experience in developing and implementing ML models.

• Strong programming experience in Python is a MUST, R or Java is also preferred.

• Understanding of data structures, data modelling and software.

• Experience in architecture, design & implementation of data-intensive applications for practical use- cases.

• Effective communicator with both internal & external stakeholders.

• Experience in a highly Agile/scrum environment.

• Ability to work in a start-up environment.

AI ML Engineer