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GEETHA TECHNOLOGY SOLUTIONS PRIVATE LIMITED
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ML Engg. Lead /Data Science Lead

ML Engg. Lead /Data Science Lead

GEETHA TECHNOLOGY SOLUTIONS PRIVATE LIMITED

5 - 8 years

11 - 15 Lacs

bengaluru

Posted:None| Platform:

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Skills Required

python natural language processing deep learning r data science algorithms cnn time series random forest sql decision tree recommender systems rnn spark computer vision statistical modeling clustering boost logistic regression ml

Work Mode

Work from Office

Job Type

Full Time

Job Description

Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Economics, Statistics, Data Science)

Preferred Institution: NIT, ISI, Any - School of Economics

Responsibilities:

Serve as expert in Data Science, build framework to develop Production level DS/AI models.

Apply AI research and ML models 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:

Expertise in ML - Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.

Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA, Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.

Expertise in programming languages SQL, Python/ R, Spark.

Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).

Experience with cloud computing services Azure.

Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing. Knowledge in Mathematical programming - Linear Programming, Mixed Integer Programming etc , Stochastic Modelling - Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.

Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP). Knowledge in GPU code optimization, Spark MLlib Optimization.

Familiarity to deploy and monitor ML models in production, delivering data products to end-users.

Experience with ML CI/CD pipelines.

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ML Engg. Lead /Data Science Lead