AI/ML Engineer & Data Analyst (0–2 Years) - Remote at ShareMyApps | Torre

AI/ML Engineer & Data Analyst (0–2 Years) - Remote

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Full-time

Legal agreement: Employment

Compensation
INR8 - 12/year
Unpaid - Unpaid
location_on
Remote (anywhere)
Shared by
Paulina Romero Moreno
8 days ago

Responsibilities


AI/ML EngineerRequired Skills: Python; NumPy, Pandas; Scikit-learn; Machine Learning & Statistics; Data preprocessing & feature engineering; Supervised & unsupervised learning; Model training, evaluation & optimization; SQL and database fundamentals; Data visualization — Matplotlib/Seaborn; REST APIs and model deployment basics; Git/GitHub; TensorFlow or PyTorch; NLP / Computer Vision; Deep Learning; Generative AI / LLMs; LangChain or similar frameworks; Docker; AWS/Azure/GCP; MLOps and CI/CDResponsibilities:Build, train, evaluate, and improve ML modelsClean and preprocess structured and unstructured datasetsPerform feature engineering and exploratory data analysisDevelop predictive and classification modelsAnalyze model performance and optimize resultsWork with engineering teams to integrate ML models into applicationsBuild data pipelines and support model deploymentDocument experiments, models, and resultsData AnalystRequired Skills: Strong SQL; Python; Pandas & NumPy; Excel / Google Sheets; Data cleaning and transformation; Exploratory Data Analysis (EDA); Statistical analysis; Data visualization; Power BI / Tableau; Dashboard and report development; Business problem-solving and analytical thinking; Git/GitHub basicsGood to Have: A/B testing; Advanced Excel; Python automation; ETL concepts; Basic machine learning; Experience with cloud databases; Business intelligence toolsResponsibilities:Collect, clean, and analyze business dataIdentify trends, patterns, and actionable insightsCreate dashboards and reports using Power BI/TableauWrite optimized SQL queries for data extractionPerform EDA and statistical analysisAutomate repetitive reporting and analysis tasksWork with business and technical teams to understand data requirementsPresent analytical findings and recommendationsMaintain accurate documentation of datasets and reports