Senior AI Developer

Core Responsibilities 

· To study and convert data science prototypes.

· To design and develop Machine Learning systems and schemes.

· To perform statistical analysis and fine-tune models using test results.

· To find available datasets online for training purposes.

· To train and re-train ML systems and models as and when necessary.

· To extend and enrich existing ML frameworks and libraries.

· To develop Machine Learning apps according to customer/client requirements.

· To research, experiment with, and implement suitable ML algorithms and tools.

· To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by their success probability.

· To explore and visualize data for better understanding and identify differences in data distribution that could impact model performance when deploying it in real-world scenarios.  

Skills

· Advanced degree in Computer Science/Math/Statistics or a related discipline.

· Advanced Math and Statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance, etc.)

· Experience in Natural Language processing (specifically projects on Self-Supervised learning and Transformers) is preferred.

· Robust data modelling and data architecture skills.

· Programming experience in Python, R, Java, C++, etc.

· Knowledge of Big Data frameworks like Hadoop, Spark, Pig, Hive, Flume, etc.

· Experience in working with ML frameworks like TensorFlow and Keras.

· Experience in working with various ML libraries and packages like Scikit learn, Theano, Tensorflow, Matplotlib, Caffe, etc.

· Strong written and verbal communications

· Excellent interpersonal and collaboration skills.

Experience

· Minimum 5-7 years of experience in AI with at least 2 years of experience involving in rolling out end to end real time solutions

Education · BE/B.Tech Computer Science, M.Sc Mathemetics/Statistics · Certified with a reputated or renowed universities in AI - Preferred