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Work With Us


If you are a professional with high energy, passion for innovation, creative mind and tenacity for continuous learning, krtrimaIQ is the place to realise your dreams.

Come and join our talented team to get the opportunity to create tomorrow’s intelligent enterprises, engage with prospective customers to understand their problems and provide solutions, work on PoCs to test the potential of new algorithms and tools following latest developments in AI, and build frameworks and platforms to give productivity and time to market advantage to our customers.

We have following openings currently and looking forward to suitable candidates


Activities
  • Perform data analysis
  • Develop reports and models for understanding relationships
  • Patterns and trends in the data
Experience
 3 to 5 years of relevant and hands on experience
Desired Skills
  • Exploratory Data Analysis:
    • Data preprocessing including quality checks
    • Standardization of data for modeling
    • Feature engineering
    • Graphical representation and interpretation of data
  • Business Intelligence
    • Report and Dashboard Design and Implementation
    • Interactive, what if and scenario Analysis
  • Statistical Analysis
    • Descriptive Statistics
    • Correlation
    • Linear and Logistic Regression
    • Parametric and non-parametric Statistics
  • Python, Django, Numpy, Pandas, matplotlib, stattools, QlikView, Tableau and SQL
  • Good communication, problem solving and inter personal skills

Activities
  • Perform Exploratory Analysis to find patterns, correlations in the data
  • Develop Statistical and Machine Learning models for various predictive, prescriptive and optimization problems
  • Interface with the customers to understand the problem and provide required solutions
  • Participate in pre-sales calls with customers and prospects and solution design
  • Lead development of PoCs, Demos and Solution accelerators pro-actively
Qualification
 Computer Science, MSc Statistics, or MBA from a reputed institute is preferred
Experience
 5 to 8 years of relevant and hands on experience
Desired Skills
  • Exploratory Data Analysis
  • Business Intelligence
  • Statistical Analysis
    • ANOVA/MANOVA
    • ANCOVA/MANCOVA
    • Discriminant Analysis
    • Conjoint Analysis
    • Factor Analysis
    • Cluster Analysis
    • Time Series Analysis (trends, seasonality, ARIMA)
    • Market Basket Analysis
  • Machine Learning
    • Discriminative Algorithms (Linear Regression, Logistic Regression)
    • Generative/Probabilistic Algorithms (GaussianNB, MultinomialNB, BernoulliNB, LDA, QDA)
    • Kernel Methods (Support Vector Machines)
    • Matrix Decomposition (Eigen Decomposition, Singular Value Decomposition)
    • Time Series (ARIMA, Holt-Winter algorithms)
    • Recommendation Systems/Engines (Surprise)
    • Non-parametric (K-nearest neighbor/KNN)
    • Genetic Algorithms (NSGA II, PSO)
    • Ensemble Methods
      • Bagging (Decision Trees, Random Forests)
      • Boosting (Adaboost, Gradient Boosting)
      • Stacking (mlxtend, XGBoost)
    • Anomaly Detection Systems
    • Unsupervised Learning
      • K-means/Hierarchical Clustering, PCA, t-SNE
  • Python eco system including scipy, scikit-learn libraries
  • Financial Services, Retail or Healthcare industry experience is preferred

Activities
  • Perform Exploratory Analysis to find patterns, correlations in the data
  • Develop Statistical, Machine Learning and Deep Learning models for Computer Vision, Natural Language Processing/Generation and Speech Recognition problems
  • Interface with the customers to understand the problem and provide required solutions
  • Participate in pre-sales calls with customers and prospects and solution design
  • Lead development of PoCs, Demos and Solution accelerators pro-actively
Qualification
 Computer Science, MSc Statistics, or MBA from a reputed institute is preferred
Experience
 5 to 8 years of relevant and hands on experience
Desired Skills
  • Exploratory Data Analysis
  • Business Intelligence
  • Statistical Analysis
  • Scikit-image, PIL, OpenCV for computer vision
  • Nltk, gensim packages for text and natural language processing
  • Dense/Feed forward Neural Networks
  • Convolutional Neural Networks
    • Residual and Inception networks
    • LeNet, AlexNet, VGG networks
    • Face recognition algorithms such as Siamese Network, triplet loss
    • Object Recognition algorithms such as YOLO
  • Recurrent Neural Networks
    • Long Short Term Memory (LSTM)
    • Gated Recurrent Unit (GRU)
  • Auto encoders
  • Live project experience of Computer Vision, NLP/G, Speech Recognition applications
  • Chatbot and text analytics
  • Google Vision, NLP, and Speech-to-Text APIs
  • Deep Learning Certification from any leading institute is preferred

As part of our Research & Development, we carry on short term projects to test out new algorithms that come into various international journals. We also develop some toolkits and frameworks that could help us improve productivity, while delivering services to our customers. We are looking for candidates who are interested in working on such short term projects.

Candidates looking for project experience as part of their academics or work experience post completion of education, can apply for this.