Job
Description
Job Description: Designation: Junior Developer -AI/ML Automation Stream Number of Positions 3 Positions Location 2 positions in Mumbai 1 position in Chennai Educational Qualification Graduates with B.Tech./ BE/ MCA degrees from Indian accredited institution (IIT) Candidates with relevant industry certifications in AI / ML / Data Science will be preferable Experience and Age At least 0-4 years of experience with Information Technology. At Least 0-2 Years of experience in AI/ML Solutions with hands-on experience in development of ML/ Deep Learning algorithms At Least 0-2 Years of experience in Python, R programming Exposure working in Remote process automation tools Experience working with Restful API and general SOA Architecture will be preferable Job Profile Understand Business Requirements and identify opportunities for ML Solutions Develop data solutions and insights using data modeling, machine learning, statistics and analytics. Ensure implementation of best suited ML solution for the business problem with data accuracy, consistency and performance in mind Deploy ML and DL models to production Optimize the model performance, latency, memory and throughput Conduct inference testing on hardware, version control of models, metadata, experiments Design and develop AI solutions applying Machine Learning models, Deep Learning, Classification models, statistical methods and NLU/NLP Develop processes and tools to monitor model performance and data accuracy. Analyze the data trends and recommend action/ steps to the leadership of the business divisions or control divisions to improvise their performance. Conduct analysis of respective business & provide insights with respect to leading and lagging indicators within business to enable effective decision making. Present information using data visualization techniques. Look for continuous optimization and improvements. Develop ML SMEs within the organization. Primary Skills Good programming Skills and analytical abilities Structured Thinking and Strong Problem-Solving Skills Coding Proficiency in AI Programming languages like Python, R, Java etc. Python libraries such as Spark, pandas, scikit, etc. Identifying, extracting, and creating meaningful features from raw data to improve model performance, including techniques like scaling, normalization, and polynomial features. Deep understanding of Principal Component Analysis (PCA), t-SNE, and LDA will be preferable. Applying statistical tests such as ANOVA, chi-square, and t-tests. Optimizing machine learning models through hyperparameter tuning techniques like Grid Search, Random Search, and Bayesian Optimization. Evaluating model performance using cross-validation, ROC curves, AUC, precision-recall, and confusion matrix to ensure robustness and generalization. Analyzing and forecasting time-dependent data using ARIMA, SARIMA, and LSTM models, as well as handling seasonality and trend components. Applying regularization methods such as L1 (Lasso), L2 (Ridge), and Elastic Net. Utilizing Bayesian methods for probabilistic modeling, including experience with tools like PyMC3 or Stan for implementing Bayesian networks and hierarchical models. Implementing Classic MLs, XGBoost, LightGBM, SVM, KNN and stacking to enhance model accuracy and robustness. Good functional and hands on knowledge in ML Techniques and tools like TensorFlow, Keras, Apache MxNet. Strong Math Skills (Multivariable Calculus and Linear Algebra). Exposure to GEN AI such as ChatGPT, Lama, Amazon bedrock, gemini etc. Experience working with RESTful API and general SOA Architecture. Good understanding and experience in ML cloud Platforms like Amazon SageMaker, H2O.ai etc. Expertise in industry leading design and architecture principles Secondary Skills Familiarity with Cloud Architecture, Development of AI/ ML based solutions on Cloud (AWS/ Azure etc.) Strong knowledge of storage data architecture or data lakes Interpersonal and Leadership Skills and strong business acumen Able to collaborate with cross functional teams. Certifications associated to AI/ML will be an added advantage. Financial Domain knowledge is another advantage. Has good exposure and hands on experience to BI Tools like Power BI, Tableau, Apache superset or equivalent visualization tools SQL, ETL, Data Mining, Building Statistical Models for Large Datasets and BI/ Data Visualization tools. Competency Identify areas to implement ML solutions in the current application stack. Lead architecture and development of ML solutions for the organization. Solid knowledge and hands on experience in analyzing large amounts of information to find patterns and BI solutions. Usage of Statistics and ML Algorithms to arrive at custom data models to provide accurate outputs. Resolve complex technical issues in implementation of AI and ML Solutions. Ability to work effectively under pressure to meet critical deadlines. Presenting results in a clear and concise manner Excellent Verbal and Written - Communication and Presentation Skills. Ability to upskill in relevant area as required.
