AI/ML Trainer

Responsibilities

• Serve as expert in Machine Learning, develop framework to build Production grade AI/ML models.
• Apply AI/ML to accelerate business innovation and solve impactful business problems for our clients.
• Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
• Present results, insights, and recommendations to senior management with an emphasis on the business impact.
• Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.

Required Skills:

• Deep knowledge in AI/ML algorithms e.g. Regression, Classification, Clustering, Time Series, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
• Proficient in using some of the following techniques for business problems/projects: Linear & Logistic Regression, Decision Trees, Random Forests, K-nearest neighbors, Support Vector Machines ANOVA, Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN/LSTM.
• Hands-on in programming languages Python/R, Spark or Scala, SQL.
• Hands-on in AI/ML frameworks and libraries (e.g. TensorFlow, Keras, PyTorch).
• Hands-on in Azure cloud AI/ML services.
• Expert in Statistical Modelling & Algorithms e.g. Hypothesis testing, Sample size estimation, A/B testing.
• Good knowledge in Mathematical programming - Linear Programming, Mixed Integer Programming etc., Stochastic Modelling - Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
• Some experience with Optimization Solvers (Gurobi, Cplex) and Algebraic Programming Languages(PulP).
• Experience in deploying and monitoring classical ML models in production, delivering data products to end-users, good knowledge in DevOps/MLOps - CI/CD pipelines.
• Good to have experience in data processing frameworks e.g. Apache Spark, Hadoop, Databricks.