Associate - Development

Desired Skills and Experience: Graduate Engineer or Post graduate with 2-4 years of experience, out of which about 2+ years in Advance AI (Gen AI) techniques and rest in data Science, AI and Machine Learning. Must have good grasp on database management, including both SQL (Structured Query Language) and NoSQL (Non-relational) databases. Must have hands on Python based web and back end frameworks like Django, Flask, and end-to-end product build, development and delivery experience with a mix of customer interfaces (e.g. web, mobile), languages and technologies, SAAS/Cloud based/ Big sized / Date Centered application, with a strong concurrent user base. Key Skills: Advanced AI techniques: Hands on Gen AI, LLM's, OpenAI models, LLAMA, Prompt Engineering, Fine-tuning, RAG Building, Quantization, etc. Machine learning techniques: Neural Network, Deep Learning algorithms (CNN/RNN/LSTM,etc), Predictive modeling, Exploratory Data analysis (EDA), Linear Regression, Logistic Regression, Clustering Techniques, Naïve Bayes, Ensemble, Gradient Boosting, XGBoost, Support Vector Machine (SVM), Decision Tree, Random forest, Knowledge Graphs etc. Text analytics: NLP, Sentiment Analysis, Topic Modeling, Seq2Seq, Attention model, Tokenizer, TFIDF, Word2Vec, etc. Python based web and back end frameworks like Django, Flask, fastAPI. Tools: Python, Pytorch, Keras, Tensorflow, OpenCV, Spacy, Sklearn, Pandas, Git, SQL, Databricks, R etc. Personal Attributes: Strategic thinker with a proactive and entrepreneurial mindset. Strong problem-solving skills and a results-driven approach. Ability to thrive in a fast-paced and dynamic environment. Excellent decision-making and leadership capabilities. Commitment to continuous learning and professional development.

Requirements

Graduate Engineer or Post graduate with 2-4 years of experience, out of which about 2+ years in Advance AI (Gen AI) techniques and rest in data Science, AI and Machine Learning; Must have good grasp on database management, including both SQL (Structured Query Language) and NoSQL (Non-relational) databases; Must have hands on Python based web and back end frameworks like Django, Flask; End-to-end product build, development and delivery experience with a mix of customer interfaces (e.g. web, mobile), languages and technologies, SAAS/Cloud based/ Big sized / Date Centered application, with a strong concurrent user base; Advanced AI techniques: Hands on Gen AI, LLM's, OpenAI models, LLAMA, Prompt Engineering, Fine-tuning, RAG Building, Quantization, etc.; Machine learning techniques: Neural Network, Deep Learning algorithms (CNN/RNN/LSTM,etc), Predictive modeling, Exploratory Data analysis (EDA), Linear Regression, Logistic Regression, Clustering Techniques, Naive Bayes, Ensemble, Gradient Boosting, XGBoost, Support Vector Machine (SVM), Decision Tree, Random forest, Knowledge Graphs etc.; Text analytics: NLP, Sentiment Analysis, Topic Modeling, Seq2Seq, Attention model, Tokenizer, TFIDF, Word2Vec, etc.; Python based web and back end frameworks like Django, Flask, fastAPI; Tools: Python, Pytorch, Keras, Tensorflow, OpenCV, Spacy, Sklearn, Pandas, Git, SQL, Databricks, R etc.; Strategic thinker with a proactive and entrepreneurial mindset; Strong problem-solving skills and a results-driven approach; Ability to thrive in a fast-paced and dynamic environment; Excellent decision-making and leadership capabilities; Commitment to continuous learning and professional development