About Us At 411 Locals we specialize in helping small businesses grow through digital marketing solutions . Our mission is to simplify digital marketing for SMBs, enabling them to focus on running their businesses while we deliver real, measurable results. We are committed to creating a positive and trusted brand that truly supports the entrepreneurial spirit. We are looking for an experienced and visionary Vice President of IT to lead a strategic transformation of our IT department. This executive role will be pivotal in transitioning IT from a cost center to a key driver of business growth and operational excellence. Reporting directly to the CAO, the VP-IT will define and execute a comprehensive strategy to address current challenges while aligning IT with broader business objectives. The ideal candidate is a proven technology leader with a strong background in IT best practices across infrastructure, development, and telephony. A forward-thinking mindset and a deep understanding of emerging technologies such as AI will be critical in driving innovation and measurable business value. The VP-IT must be a hands-on leader who can balance strategic vision with practical execution, fostering a collaborative environment between IT and business stakeholders. Qualifications & Experience: Leadership : 10+ years of progressive IT leadership experience, with at least 5 years in senior roles overseeing large-scale IT transformations (40+ IT staff). Education : Bachelor's degree in Computer Science, Information Systems, or a related field; Master’s degree preferred. Proven Impact : Demonstrated success in transforming underperforming IT departments into high-performing, strategic assets that align with business goals. Technological Expertise : Expertise in emerging technologies like AI/ML, cloud computing, and automation, with a strong understanding of ITIL and IT service management best practices. Operational Focus : Extensive experience improving operational efficiency and ensuring seamless integration across IT infrastructure, particularly in call center ecosystems. Financial Acumen : Strong track record of managing budgets and demonstrating IT ROI. Leadership & Collaboration : Exceptional leadership skills with the ability to motivate and guide high-performing teams, while building strong relationships with business stakeholders. Key Responsibilities: IT Transformation Strategy : Lead a thorough evaluation of current IT operations, identify key areas for improvement, and define a clear, actionable roadmap for transformation. Alignment with Business Goals : Collaborate with business leaders to understand their challenges and develop tailored technology solutions that align IT with overall business objectives. Operational Excellence : Implement ITIL frameworks, optimize processes, and drive automation to improve operational efficiency, reduce recurring issues, and enhance service delivery. Innovation & Emerging Technologies : Stay at the forefront of industry trends, leveraging technologies such as AI, cloud computing, and automation to create competitive advantages and streamline operations. Continuous Improvement : Establish feedback loops, leverage data to predict and resolve issues, and create a culture of proactive problem-solving and ongoing optimization. Performance Management : Define and monitor KPIs to assess IT performance, ensuring transparency and alignment with business goals. Governance & Compliance : Build a robust IT governance framework, ensuring clear roles, streamlined decision-making, and adherence to industry standards and regulatory requirements. This is an exciting opportunity to play a critical role in reshaping IT into a strategic asset that drives business success. If you meet the qualifications and are interested in learning more, please submit your resume outline relevant experience.
Are you a results-driven professional with a minimum of 5 years of experience and a proven track record of delivering tangible financial impact? 411 Locals is a leading digital marketing agency serving home service businesses across the U.S. We specialize in helping local companies grow through Google Ads, SEO, and online visibility. As we scale, we’re hiring a highly skilled Transformation & Improvement Specialist to join our digital marketing organization. This is a goal-driven role where your primary objective will be to optimize the cost of operations (Productivity / Hard $ savings) and actively help/support business teams drive Company Revenue & Customer Retention (Effectiveness) through strategic process enhancements, advanced AI capabilities, and predictive analytics. Your success will be directly gauged by the actual dollars delivered in savings and increased revenue. You'll be expected to deeply understand our operations; this means undergoing key stroke level process-level training and seamlessly integrating with our front-line team members to truly grasp the nuances from the ground up . Build a good rapport with internal business stakeholders and collaborate effectively in the business transformation initiatives. You should be someone who can navigate through ambiguity to look for out of the box solutions for optimising the business processes (A very critical requirement) Responsibilities: Lead and implement high-impact transformational initiatives within the call center operations, relentlessly identifying and eliminating inefficiencies, reducing variations, and enhancing overall operational effectiveness to directly impact the bottom line. While practical knowledge of Lean and Six Sigma is beneficial, we prioritize your ability to drive significant, measurable financial improvements. Collaborate closely with the business, development and AI/ML engineers to drive initiatives from ideation to implementation and through to the last mile, ensuring a smooth transition into Business As Usual (BAU) processes. Apply AI/ML implementation skills, specifically in building and deploying predictive models , to analyze large and complex datasets . You'll leverage these models to optimize business operations, predict customer behavior, identify root causes of process inefficiencies leading to revenue loss and customer retention issues and provide data-driven recommendations that directly optimize call center performance and help/support business teams drive revenue and retention growth. Develop and refine regenerative AI prompting strategies designed for customer call and interaction evaluation . You'll expertly craft prompts to effectively analyze, summarize, extract key insights, and identify areas for improvement from customer interactions, directly supporting quality assurance, agent coaching, and overall service enhancement that leads to higher retention and revenue. Drive the adoption and seamless integration of new AI/ML technologies and optimized processes within the call center, ensuring maximum financial impact and operational efficiency. Collaborate effectively with senior stakeholders and business teams , skillfully navigating complex organizational dynamics to gain buy-in and successfully implement both process-driven and AI-powered improvement projects with clear ROI. Relentlessly focus on key performance indicators (KPIs) related to cost optimization, revenue growth, and customer retention , ensuring that all transformation and AI-driven efforts directly contribute to achieving critical business objectives and are quantifiable in terms of dollars. Develop and monitor robust metrics to track the actual financial impact of implemented process improvements and AI/ML solutions, ensuring sustainable gains and fostering continuous optimization. Qualifications: Minimum of 5 years of experience in a similar role with a proven track record of delivering quantifiable financial results in transformation, process improvement, and/or AI/ML implementation. A strong blend of knowledge in process improvement methodologies (e.g., understanding of workflow optimization, root cause analysis) and practical expertise in AI and Machine Learning. Specific, hands-on experience in building and deploying predictive models using AI/ML techniques. Demonstrated proficiency with regenerative AI prompting techniques, specifically tailored for analyzing and evaluating customer calls and interactions. Exceptional analytical skills with the ability to analyze and interpret large datasets to derive actionable, financially impactful insights and inform AI/ML model development and process enhancements. Prior experience working within call center operations , possessing a deep understanding of the unique challenges and opportunities within this environment. Exposure to and comprehensive understanding of both voice and data-based call center operations. Exceptional communication and interpersonal skills, with the ability to effectively engage, influence, and present to senior stakeholders, business, development, and data science teams , clearly articulating the financial benefits of proposed initiatives. Proven ability to navigate and resolve complex situations, demonstrating strong problem-solving skills in environments integrating process and technology. A willingness to immerse in day-to-day operations, including undergoing basic process training and collaborating directly with front-line team members to uncover opportunities for improvement. Certifications Required: Lean Six Sigma Green Belt or Black Belt Certification: Demonstrates an advanced understanding of process improvement methodologies. AI/Machine Learning Certification: A recognized certification from platforms like Google Cloud, AWS, Microsoft Azure, IBM, or academic institutions (e.g., Coursera specializations, edX programs) validating expertise in AI/ML concepts and predictive modeling. Generative AI / Prompt Engineering Certification: A certification specifically focused on prompt engineering or generative AI applications (e.g., from Google, IBM, DeepLearning.AI, or other reputable providers). What We Offer: 100% Work-From-Home Option: Enjoy the flexibility and autonomy of a fully remote work environment, allowing you to optimize your work-life balance. Direct Impact with Senior Leadership: Work directly with the organization's senior leadership, gaining unparalleled exposure to strategic decision-making and contributing at the highest level. Solve Real-Life Complex Problems: Tackle challenging, high-impact business problems that require innovative thinking and deliver tangible improvements that shape the future of our operations. A highly collaborative and supportive work environment that values innovation and measurable results. Opportunities for continuous learning and professional development in cutting-edge AI and business transformation. Good compensation benefits and ability to select a contractual package leading to Tax savings in India If you are a highly adaptable, innovative individual with a relentless drive for delivering measurable financial outcomes, who thrives at the intersection of operational excellence and advanced technology, and possesses a strong desire to transform call center performance while supporting the company's revenue goals, we encourage you to apply!
Required Skills & Experience Education: Bachelors degree in Business Analytics, Data Science, or a related field. 4+years as a software or digital business analyst in Agile environments (Scrum, Kanban, or SAFe). Minimum 3 AI project as BA role Fluent in modern estimation techniques (storypoint triangulation, PERT, throughputbased forecasting). Working knowledge of cloud/SaaS architectures, API integration patterns, and AI/ML solution landscapes. Strong facilitation, workshop design, and conflictresolution skills in multidisciplinary teams. Strong analytical skills and the ability to interpret complex data. Proficiency in data analysis tools (e.g., spreadsheets, Qlik). Excellent problem-solving and decision-making skills. Strong communication and presentation skills. Ability to work independently and as part of a team. 5. Preferred Domain experience in contactcentre tech, fintech, or subscription SaaS. Certification: CBAP, PMIPBA, or SAFe POPM. Experience building skills matrices or BA communities of practice.
About Us At 411 Locals we specialize in helping small businesses grow through digital marketing solutions . Our mission is to simplify digital marketing for SMBs, enabling them to focus on running their businesses while we deliver real, measurable results. We are committed to creating a positive and trusted brand that truly supports the entrepreneurial spirit. We are looking for an experienced and visionary Vice President of IT to lead a strategic transformation of our IT department. This executive role will be pivotal in transitioning IT from a cost center to a key driver of business growth and operational excellence. Reporting directly to the CAO, the VP-IT will define and execute a comprehensive strategy to address current challenges while aligning IT with broader business objectives. The ideal candidate is a proven technology leader with a strong background in IT best practices across infrastructure, development, and telephony. A forward-thinking mindset and a deep understanding of emerging technologies such as AI will be critical in driving innovation and measurable business value. The VP-IT must be a hands-on leader who can balance strategic vision with practical execution, fostering a collaborative environment between IT and business stakeholders. Qualifications & Experience: Leadership : 10+ years of progressive IT leadership experience, with at least 5 years in senior roles overseeing large-scale IT transformations (40+ IT staff). Education : Bachelor's degree in Computer Science, Information Systems, or a related field; Master’s degree preferred. Proven Impact : Demonstrated success in transforming underperforming IT departments into high-performing, strategic assets that align with business goals. Technological Expertise : Expertise in emerging technologies like AI/ML, cloud computing, and automation, with a strong understanding of ITIL and IT service management best practices. Operational Focus : Extensive experience improving operational efficiency and ensuring seamless integration across IT infrastructure, particularly in call center ecosystems. Financial Acumen : Strong track record of managing budgets and demonstrating IT ROI. Leadership & Collaboration : Exceptional leadership skills with the ability to motivate and guide high-performing teams, while building strong relationships with business stakeholders. Key Responsibilities: IT Transformation Strategy : Lead a thorough evaluation of current IT operations, identify key areas for improvement, and define a clear, actionable roadmap for transformation. Alignment with Business Goals : Collaborate with business leaders to understand their challenges and develop tailored technology solutions that align IT with overall business objectives. Operational Excellence : Implement ITIL frameworks, optimize processes, and drive automation to improve operational efficiency, reduce recurring issues, and enhance service delivery. Innovation & Emerging Technologies : Stay at the forefront of industry trends, leveraging technologies such as AI, cloud computing, and automation to create competitive advantages and streamline operations. Continuous Improvement : Establish feedback loops, leverage data to predict and resolve issues, and create a culture of proactive problem-solving and ongoing optimization. Performance Management : Define and monitor KPIs to assess IT performance, ensuring transparency and alignment with business goals. Governance & Compliance : Build a robust IT governance framework, ensuring clear roles, streamlined decision-making, and adherence to industry standards and regulatory requirements. This is an exciting opportunity to play a critical role in reshaping IT into a strategic asset that drives business success. If you meet the qualifications and are interested in learning more, please submit your resume outline relevant experience.
Required Skills & Experience Experience Level 5-8 years of professional experience in Data Science , ML / DL Architecturing , Generative AI engineering or AI/ML development roles Proven track record of deploying and maintaining production ML systems at scale Experience in digital marketing, customer service, contact centers, or related industries strongly preferred Technical Expertise Programming & Core Libraries Python Ecosystem Mastery (Required) Advanced Python 3.9+ proficiency with deep understanding of object-oriented programming, decorators, context managers, and asyncio for concurrent processing Data Manipulation & Analysis: Pandas 2.0+: Advanced operations including multi-indexing, groupby operations, window functions, categorical data handling, and performance optimization techniques NumPy 1.24+: Vectorized operations, broadcasting, advanced indexing, custom ufuncs, and memory-efficient array operations Polars: Next-generation DataFrame library for faster data processing and memory efficiency Big Data Processing: PySpark 3.4+: DataFrame API, Spark SQL, MLlib, structured streaming, and cluster optimization Dask: Parallel computing, delayed operations, distributed arrays, and scaling pandas workflows Scientific Computing: SciPy: Statistical functions, optimization algorithms, signal processing, and numerical integration Statsmodels: Advanced statistical modeling, time series analysis (ARIMA, GARCH, VAR), and econometric analysis Scikit-learn 1.3+: Custom transformers, pipeline optimization, advanced cross-validation strategies, and model interpretation tools Machine Learning Frameworks (Expert Level) Deep Learning Platforms: PyTorch 2.0+: Dynamic computational graphs, autograd, custom loss functions, distributed training, and TorchScript optimization TensorFlow 2.13+: Eager execution, tf.function optimization, custom layers, TensorBoard integration, and TensorFlow Serving Keras 3.0: High-level API mastery, custom metrics/callbacks, transfer learning, and model subclassing Gradient Boosting Libraries: XGBoost 2.0+: Advanced hyperparameter tuning, custom objective functions, early stopping, and SHAP integration LightGBM 4.0+: Categorical feature handling, dart boosting, and GPU acceleration CatBoost: Handling high-cardinality categorical features and automatic feature engineering Specialized ML Libraries: Optuna/Hyperopt: Bayesian optimization for hyperparameter tuning SHAP/LIME: Model interpretability and explainable AI Imbalanced-learn: Handling class imbalance with SMOTE, ADASYN, and ensemble methods Generative AI & LLM Technologies Large Language Model Platforms (Production Experience Required) OpenAI Ecosystem: GPT-4/GPT-4 Turbo: Advanced prompting strategies, function calling, vision capabilities, and fine-tuning with GPT-3.5 OpenAI API: Rate limiting, error handling, cost optimization, and embedding API usage Whisper: Speech-to-text integration for call center voice analysis DALL-E: Image generation for automated content creation Google AI Platform: Gemini Pro/Ultra: Multimodal capabilities, context length optimization, and enterprise integration Vertex AI Model Garden: Deployment and management of foundation models Meta AI Models: Llama 2/3: Open-source deployment, custom fine-tuning, and performance optimization Code Llama: Automated code generation and review processes Anthropic Claude: Constitutional AI principles, safety considerations, and enterprise deployment Open Source Alternatives: Mistral AI, Falcon, MPT, and Alpaca models for cost-effective solutions GenAI Development Frameworks & Tools LangChain 0.1+: Advanced chain composition, memory management, and custom tool creation Agent frameworks for autonomous task execution Integration with external APIs and databases Streaming responses and async processing LangGraph : Stateful multi-agent workflow orchestration and complex reasoning chains Cyclic graph construction for iterative problem-solving and self-correction loops State management for long-running conversational agents Human-in-the-loop integration for escalation and approval workflows Parallel execution and conditional branching for complex decision trees Graph visualization and debugging for workflow optimization LangSmith : Production LLM monitoring, logging, and performance analytics A/B testing frameworks for prompt optimization and model comparison Dataset creation and management for fine-tuning and evaluation Automated evaluation pipelines with custom metrics and human feedback integration Error tracking and debugging for complex multi-step LLM workflows Cost monitoring and optimization across different LLM providers Annotation tools for creating high-quality training datasets Production deployment monitoring with alerting and anomaly detection Vector Databases & Semantic Search Weaviate: GraphQL APIs, custom vectorization, and multi-modal search Advanced LLM Techniques Fine-tuning Methodologies: LoRA (Low-Rank Adaptation): Memory-efficient fine-tuning for domain adaptation QLoRA: Quantized LoRA for reduced memory footprint Instruction Tuning: Creating custom instruction datasets and training procedures RLHF (Reinforcement Learning from Human Feedback): Implementing reward models and PPO training Prompt Engineering: Advanced prompting techniques: Chain-of-thought, few-shot learning, and constitutional AI Prompt optimization: Systematic prompt testing and A/B testing frameworks Dynamic prompting: Context-aware prompt generation and adaptive prompting strategies RAG (Retrieval-Augmented Generation): Advanced RAG architectures: Multi-hop reasoning, query decomposition, and re-ranking strategies Hybrid search: Combining dense and sparse retrieval methods Context optimization: Document chunking strategies, overlap management, and context compression Model Optimization: Quantization: INT8/INT4 quantization for inference optimization Distillation: Knowledge distillation from large to smaller models Pruning: Structured and unstructured pruning techniques Data Science Methodologies & Statistical Analysis Advanced Statistical Methods Hypothesis Testing & Experimental Design: A/B Testing: Power analysis, sample size calculation, multiple testing correction (Bonferroni, FDR) Bayesian Statistics: Prior specification, MCMC sampling, hierarchical modeling with PyMC or Stan Causal Inference: Difference-in-differences, instrumental variables, propensity score matching, and causal DAGs Survival Analysis: Cox regression, Kaplan-Meier estimation, and time-to-event modeling Multivariate Analysis: Dimensionality Reduction: PCA, t-SNE, UMAP, Factor Analysis, and manifold learning techniques Clustering: K-means++, DBSCAN, hierarchical clustering, and mixture models Classification & Regression: Logistic regression, SVM, ensemble methods, and neural networks Time Series Analysis: Classical Methods: ARIMA, SARIMA, Exponential Smoothing, and seasonal decomposition Modern Techniques: Prophet, Neural Prophet, and Transformer-based forecasting Multivariate Time Series: VAR models, Granger causality, and state-space models Feature Engineering & Data Preprocessing Advanced Feature Engineering: Automated Feature Engineering: Featuretools, AutoFeat, and genetic programming approaches Feature Selection: Recursive feature elimination, mutual information, and stability selection Categorical Encoding: Target encoding, entity embeddings, and hash encoding Text Feature Engineering: TF-IDF variants, word embeddings, and n-gram analysis Data Quality & Validation: Data Profiling: Automated data quality assessment and anomaly detection Missing Data Handling: Multiple imputation, matrix completion, and missingness pattern analysis Outlier Detection: Isolation Forest, Local Outlier Factor, and robust statistical methods Data Drift Detection: Population stability index, KL divergence, and distribution monitoring Model Development & Validation Cross-Validation Strategies: Time Series CV: Walk-forward validation, blocked cross-validation, and gap-based splitting Stratified CV: Maintaining class balance and group-based splitting Nested CV: Unbiased hyperparameter optimization and model selection Model Interpretability: Global Interpretation: Feature importance, partial dependence plots, and SHAP summary plots Local Interpretation: LIME, SHAP values, and counterfactual explanations Model-Agnostic Methods: Permutation importance and accumulated local effects Performance Evaluation: Classification Metrics: ROC-AUC, PR-AUC, F1-score variants, and calibration assessment Regression Metrics: MAPE, SMAPE, directional accuracy, and residual analysis Business Metrics: Customer lifetime value, churn prediction accuracy, and revenue impact assessment Advanced Statistical Modeling & Machine Learning Contact Center Analytics & Voice Intelligence Speech Analytics & NLP: Conversation Intelligence: Automatic topic detection, intent classification, and sentiment progression Voice Emotion Recognition: Acoustic feature extraction and emotion classification models Speaker Analytics: Voice biometrics, accent detection, and speech quality assessment Workforce Analytics: Agent Scheduling Optimization: Integer programming for shift scheduling with constraints Performance Prediction: Predicting agent success during hiring and ongoing performance Training Effectiveness: Measuring training ROI and skill development tracking Customer Journey Analytics: Omnichannel Attribution: Cross-channel customer journey mapping and touchpoint analysis Intent Prediction: Predicting customer intent from early interaction signals Effort Prediction: Customer effort score prediction and friction point identification Required Education Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Mathematics, or related technical field Advanced degree preferred for senior-level positions Industry Experience Domain Expertise (Preferred) Call center and customer service industry experience with understanding of contact center operations Telecommunications or SaaS industry background Customer experience (CX) technology and analytics Real-time systems development for customer-facing applications Regulatory compliance experience in data-sensitive industries
Are you a visionary IT leader , ready to transform an IT department from a cost center into a strategic powerhouse? 411 Locals is searching for a dynamic and hands-on Sr Director of IT to lead a critical transformation. This isn't just a leadership role; it's a unique opportunity to build, innovate, and directly impact our business growth and operational efficiency. If you thrive in a fast-paced environment, are comfortable working in agile, smaller organizations, and can tangibly demonstrate IT contribution to the bottom line, we want to hear from you! About 411 Locals: We are a rapidly growing digital marketing and call center ecosystem, constantly pushing the boundaries of technology to serve our customers. Our core values—Get Stuff Done, Fiercely Collaborate, Innovate Always, and a relentless focus on Growth—define who we are. We believe in creating win-win-win outcomes for our customers, our company, and our people. The Opportunity: Reporting directly to the CAO, you will be instrumental in: Driving a complete IT transformation: From strategy to execution, you'll redefine our IT landscape, turning it into a competitive advantage. Demonstrating quantifiable impact: You'll be adept at validating IT's contribution to: Cost Reduction: Optimizing IT spend and showing clear ROI. Quality Improvement: Drastically reducing defects and enhancing service delivery. Performance Enhancement: Directly impacting EBITDA through IT-driven efficiencies. Championing Innovation with AI & Automation: You will lead the charge in implementing cutting-edge automation and AI/ML solutions to streamline operations, enhance efficiency, and unlock new business value. Building a Strategic IT Function: Realigning IT with core business objectives, fostering a culture of continuous improvement, and establishing robust governance. Who We're Looking For: A seasoned IT leader with: 10+ years of progressive IT leadership experience , with at least 5 years in senior roles leading significant IT transformations (40+ staff). Proven hands-on experience and comfort working within smaller, agile organizational structures. A track record of successfully transforming underperforming IT departments into strategic assets, delivering measurable results against cost, quality (defects), and performance (EBITDA). Deep expertise in IT automation and the practical application of AI/ML within an IT setting to drive business value. Strong understanding of ITIL framework , operational excellence, cloud computing, and IT service management best practices. Extensive experience supporting the IT infrastructure of digital marketing and call center ecosystems . Exceptional communication skills, able to articulate complex technical concepts to non-technical stakeholders and foster strong cross-functional collaboration. A Bachelor's degree in Computer Science or a related field; Master's preferred. Why Join 411 Locals? Impact: This is a high-visibility role where your contributions will directly shape the future of our company. Innovation: Work with cutting-edge technologies like AI/ML to drive real business value. Growth: Be part of an organization with an exponential growth mindset, offering immense opportunities for personal and professional development. Culture: Join a team that values direct communication, fierce collaboration, and a "Get Stuff Done, Own It!" attitude. Remote Flexibility: Enjoy the flexibility of a remote role. If you are a results-oriented, innovative, and hands-on IT leader ready to make a significant impact, we encourage you to apply! Let's build the future of IT together at 411 Locals. Apply Now and lead our IT transformation journey! #VPIT #ITLeadership #ITTransformation #ArtificialIntelligence #MachineLearning #Automation #DigitalMarketing #CallCenter #RemoteJobs #IndiaJobs #ITJobs #LeadershipJobs #HandsOnLeadership
Key Responsibilities Advanced Statistical Analysis & Modeling Conduct sophisticated statistical analyses, including multivariate analysis, time series modeling, survival analysis, and causal inference studies. Design and implement A/B testing frameworks with proper statistical rigor, power analysis, and multiple testing corrections. Build advanced machine learning models for customer segmentation, personalization, recommendation systems, and operational optimization. Perform causal inference analysis using techniques like difference-in-differences, instrumental variables, and propensity score matching to measure true business impact. Business Intelligence & Insights Generation Partner with executive leadership to identify strategic questions and translate business challenges into analytical frameworks. Develop comprehensive dashboards and reporting systems that provide actionable insights for various stakeholders. Conduct deep-dive analyses on customer behavior, market trends, competitive positioning, and operational performance. Generate data-driven recommendations that directly influence product development, marketing strategy, and operational decisions. Customer Analytics & Behavioral Insights Design and implement customer segmentation strategies using advanced clustering techniques, behavioral analysis, and predictive modeling. Develop customer lifetime value models and retention strategies based on a comprehensive analysis of customer interactions and transactional data. Analyze customer journey optimization across all touchpoints to identify friction points, improvement opportunities, and personalization strategies. Build predictive models for customer behavior, including churn prediction, upsell/cross-sell opportunities, and satisfaction forecasting. Experimentation & Causal Analysis Design and analyze controlled experiments to measure the impact of product changes, marketing campaigns, and operational improvements. Implement advanced experimental designs, including factorial experiments, multi-armed bandits, and switchback tests. Conduct causal inference studies to understand the true impact of business initiatives and separate correlation from causation. Develop measurement frameworks for attribution modeling, incrementality testing, and marketing mix optimization. Required Skills & Experience Machine Learning & Predictive Modeling Classical ML Algorithms: Advanced understanding of linear/logistic regression, decision trees, ensemble methods, SVM, and clustering. Deep Learning: Experience with neural networks, CNNs, RNNs, and transformers for both structured and unstructured data. Advanced Ensemble Methods: Knowledge of stacking, blending, Bayesian model averaging, and custom ensemble architectures. Feature Engineering: Proficiency in automated feature generation, selection techniques, and dimensionality reduction. Programming & Data Manipulation Python Expertise: Advanced proficiency with the scientific computing stack, including NumPy, Pandas, SciPy, and Scikit-learn. Statistical Software: Expert-level proficiency in R for statistical analysis and visualization. SQL Mastery: Experience with complex query optimization, window functions, and database design principles. Big Data Technologies: Familiarity with Spark (PySpark/SparkR), the Hadoop ecosystem, and other distributed computing frameworks. Cloud Platforms: Experience with AWS (SageMaker, Redshift, S3), GCP (BigQuery, Vertex AI), or Azure (Synapse, ML Studio). Modern AI & Generative AI Capabilities Large Language Models: Practical experience with GPT-4, Claude, and Gemini for data analysis augmentation and insight generation. Prompt Engineering: Advanced prompting techniques for analytical tasks, report generation, and hypothesis formulation. AI-Assisted Analytics: Using LLMs for data exploration, code generation, and analytical workflow automation. Education & Experience Experience: 5-8 years of progressive experience in data science, analytics, or quantitative research roles. Education: A master's degree in Statistics, Mathematics, Economics, Computer Science, Physics, or a related quantitative field is required. Proven Track Record: A proven history of delivering high-impact analytical projects that directly influenced business decisions and outcomes is essential. Industry Experience: Experience in customer service, telecommunications, SaaS, or related customer-centric industries is strongly preferred
AI/ML/GenAI Engineer to join our advanced data science team. You will be instrumental in building next-generation AI infrastructure, implementing cutting-edge machine learning solutions, and deploying production-grade models that drive transformative business outcomes for our call center operations, focusing on sales optimization, customer retention, and operational excellence. This role combines traditional MLOps expertise with modern Generative AI capabilities, requiring proficiency in both classical machine learning and state-of-the-art LLM technologies. You'll work closely with our Lead Data Scientist and cross-functional teams to translate research innovations into scalable, production-ready solutions. Key Responsibilities Core ML Engineering & Infrastructure Design and implement robust, scalable data pipelines using modern tools like Apache Spark, Dask, and Databricks to ingest, clean, and transform large datasets. Collaborate with Data Scientists to translate research prototypes and experimental models into production-ready, enterprise-grade solutions. Implement a comprehensive MLOps lifecycle, including model versioning, automated deployment, real-time monitoring, A/B testing, and intelligent retraining strategies. Build and optimize low-latency, high-availability model serving infrastructure that supports both batch and real-time inference at scale. Advanced AI & Generative AI Development Develop and deploy Large Language Models (LLMs) and Generative AI solutions for call center applications, including conversation analysis, automated response generation, and customer sentiment understanding. Implement Retrieval-Augmented Generation (RAG) systems using vector databases such as FAISS, Pinecone, and Weaviate for intelligent knowledge retrieval and context-aware responses. Design multi-modal AI systems that integrate text, voice, and structured data for comprehensive customer interaction analysis. Apply prompt engineering techniques and fine-tuning strategies to optimize LLM performance for domain-specific use cases. Production Systems & Automation Automate end-to-end ML workflows from data collection and feature engineering to model deployment and performance monitoring. Build real-time inference systems capable of processing thousands of concurrent requests with sub-second response times. Implement advanced monitoring and alerting systems for model performance, data drift detection, and system health. Develop CI/CD pipelines specifically designed for ML workflows with automated testing, validation, and rollback capabilities. Required Skills & Experience Experience & Education 5-8 years of professional experience in Data Science, ML/DL Architecturing, Generative AI engineering, or AI/ML development roles. A proven track record of deploying and maintaining production ML systems at scale is required. Experience in customer service, telecommunications, or related industries is strongly preferred. A Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Mathematics, or a related technical field is required, with an advanced degree preferred for senior-level positions. Technical Expertise Programming & Core Libraries: Mastery of the Python Ecosystem, including advanced proficiency with Python 3.9+, Pandas 2.0+, and NumPy 1.24+. You should also have experience with big data processing using PySpark and Dask. Machine Learning Frameworks: Expert-level experience with deep learning platforms like PyTorch 2.0+ and TensorFlow 2.13+, as well as gradient boosting libraries such as XGBoost, LightGBM, and CatBoost. Generative AI & LLMs: Production experience with Large Language Model platforms is required. This includes knowledge of the OpenAI ecosystem (GPT-4, Whisper), Google AI Platform (Gemini Pro/Ultra), and Meta AI models (Llama 2/3). You should be proficient with LLM development frameworks like LangChain, LangGraph, and the Hugging Face ecosystem. MLOps: You must have production MLOps experience with tools like MLflow, Kubeflow, and AWS SageMaker. Containerization and orchestration skills with Docker and Kubernetes are also essential.
Key Responsibilities Advanced Statistical Analysis & Modeling Conduct sophisticated statistical analyses, including multivariate analysis, time series modeling, survival analysis, and causal inference studies. Design and implement A/B testing frameworks with proper statistical rigor, power analysis, and multiple testing corrections. Build advanced machine learning models for customer segmentation, personalization, recommendation systems, and operational optimization. Perform causal inference analysis using techniques like difference-in-differences, instrumental variables, and propensity score matching to measure true business impact. Business Intelligence & Insights Generation Partner with executive leadership to identify strategic questions and translate business challenges into analytical frameworks. Develop comprehensive dashboards and reporting systems that provide actionable insights for various stakeholders. Conduct deep-dive analyses on customer behavior, market trends, competitive positioning, and operational performance. Generate data-driven recommendations that directly influence product development, marketing strategy, and operational decisions. Customer Analytics & Behavioral Insights Design and implement customer segmentation strategies using advanced clustering techniques, behavioral analysis, and predictive modeling. Develop customer lifetime value models and retention strategies based on a comprehensive analysis of customer interactions and transactional data. Analyze customer journey optimization across all touchpoints to identify friction points, improvement opportunities, and personalization strategies. Build predictive models for customer behavior, including churn prediction, upsell/cross-sell opportunities, and satisfaction forecasting. Experimentation & Causal Analysis Design and analyze controlled experiments to measure the impact of product changes, marketing campaigns, and operational improvements. Implement advanced experimental designs, including factorial experiments, multi-armed bandits, and switchback tests. Conduct causal inference studies to understand the true impact of business initiatives and separate correlation from causation. Develop measurement frameworks for attribution modeling, incrementality testing, and marketing mix optimization. Required Skills & Experience Machine Learning & Predictive Modeling Classical ML Algorithms: Advanced understanding of linear/logistic regression, decision trees, ensemble methods, SVM, and clustering. Deep Learning: Experience with neural networks, CNNs, RNNs, and transformers for both structured and unstructured data. Advanced Ensemble Methods: Knowledge of stacking, blending, Bayesian model averaging, and custom ensemble architectures. Feature Engineering: Proficiency in automated feature generation, selection techniques, and dimensionality reduction. Programming & Data Manipulation Python Expertise: Advanced proficiency with the scientific computing stack, including NumPy, Pandas, SciPy, and Scikit-learn. Statistical Software: Expert-level proficiency in R for statistical analysis and visualization. SQL Mastery: Experience with complex query optimization, window functions, and database design principles. Big Data Technologies: Familiarity with Spark (PySpark/SparkR), the Hadoop ecosystem, and other distributed computing frameworks. Cloud Platforms: Experience with AWS (SageMaker, Redshift, S3), GCP (BigQuery, Vertex AI), or Azure (Synapse, ML Studio). Modern AI & Generative AI Capabilities Large Language Models: Practical experience with GPT-4, Claude, and Gemini for data analysis augmentation and insight generation. Prompt Engineering: Advanced prompting techniques for analytical tasks, report generation, and hypothesis formulation. AI-Assisted Analytics: Using LLMs for data exploration, code generation, and analytical workflow automation. Education & Experience Experience: 5-8 years of progressive experience in data science, analytics, or quantitative research roles. Education: A master's degree in Statistics, Mathematics, Economics, Computer Science, Physics, or a related quantitative field is required. Proven Track Record: A proven history of delivering high-impact analytical projects that directly influenced business decisions and outcomes is essential. Industry Experience: Experience in customer service, telecommunications, SaaS, or related customer-centric industries is strongly preferred
Are you a visionary IT leader , ready to transform an IT department from a cost center into a strategic powerhouse 411 Locals is searching for a dynamic and hands-on Sr Director of IT to lead a critical transformation. This isn&apost just a leadership role; it&aposs a unique opportunity to build, innovate, and directly impact our business growth and operational efficiency. If you thrive in a fast-paced environment, are comfortable working in agile, smaller organizations, and can tangibly demonstrate IT contribution to the bottom line, we want to hear from you! About 411 Locals: We are a rapidly growing digital marketing and call center ecosystem, constantly pushing the boundaries of technology to serve our customers. Our core valuesGet Stuff Done, Fiercely Collaborate, Innovate Always, and a relentless focus on Growthdefine who we are. We believe in creating win-win-win outcomes for our customers, our company, and our people. The Opportunity: Reporting directly to the CAO, you will be instrumental in: Driving a complete IT transformation: From strategy to execution, you&aposll redefine our IT landscape, turning it into a competitive advantage. Demonstrating quantifiable impact: You&aposll be adept at validating IT&aposs contribution to: Cost Reduction: Optimizing IT spend and showing clear ROI. Quality Improvement: Drastically reducing defects and enhancing service delivery. Performance Enhancement: Directly impacting EBITDA through IT-driven efficiencies. Championing Innovation with AI & Automation: You will lead the charge in implementing cutting-edge automation and AI/ML solutions to streamline operations, enhance efficiency, and unlock new business value. Building a Strategic IT Function: Realigning IT with core business objectives, fostering a culture of continuous improvement, and establishing robust governance. Who We&aposre Looking For: A seasoned IT leader with: 10+ years of progressive IT leadership experience , with at least 5 years in senior roles leading significant IT transformations (40+ staff). Proven hands-on experience and comfort working within smaller, agile organizational structures. A track record of successfully transforming underperforming IT departments into strategic assets, delivering measurable results against cost, quality (defects), and performance (EBITDA). Deep expertise in IT automation and the practical application of AI/ML within an IT setting to drive business value. Strong understanding of ITIL framework , operational excellence, cloud computing, and IT service management best practices. Extensive experience supporting the IT infrastructure of digital marketing and call center ecosystems . Exceptional communication skills, able to articulate complex technical concepts to non-technical stakeholders and foster strong cross-functional collaboration. A Bachelor&aposs degree in Computer Science or a related field; Master&aposs preferred. Why Join 411 Locals Impact: This is a high-visibility role where your contributions will directly shape the future of our company. Innovation: Work with cutting-edge technologies like AI/ML to drive real business value. Growth: Be part of an organization with an exponential growth mindset, offering immense opportunities for personal and professional development. Culture: Join a team that values direct communication, fierce collaboration, and a "Get Stuff Done, Own It!" attitude. Remote Flexibility: Enjoy the flexibility of a remote role. If you are a results-oriented, innovative, and hands-on IT leader ready to make a significant impact, we encourage you to apply! Let&aposs build the future of IT together at 411 Locals. Apply Now and lead our IT transformation journey! #VPIT #ITLeadership #ITTransformation #ArtificialIntelligence #MachineLearning #Automation #DigitalMarketing #CallCenter #RemoteJobs #IndiaJobs #ITJobs #LeadershipJobs #HandsOnLeadership Show more Show less
About Us At our company, we empower small businesses worldwide through collaboration and innovation. Our mission is to provide simplified, effective, and affordable business services, enabling entrepreneurs to start, grow, and run their ventures with confidence. Join our team and be part of an environment that fosters growth, achieves results, and embraces constant innovation. Together, we create win-win-win outcomes for our customers, the company, and ourselves. Qualifications: Education: Bachelor’s degree in computer science, linguistics, data science, or a related field (Master's or PhD is a plus). Experience: 2+ years of experience working with AI systems, LLMs, or NLP. Hands-on experience with prompt engineering and platforms like LangChain or OpenAI is highly desirable. Skills: Strong understanding of language and semantics, proficiency in prompt engineering techniques (e.g., few-shot learning, chain-of-thought prompting), excellent communication skills, and strong analytical abilities. Familiarity with data analysis and visualization is a plus. Research: A strong interest in staying current on AI advancements and experimenting with new approaches. Collaboration: A team-oriented mindset with the ability to work across departments and share knowledge with others. Responsibilities: Prompt Design & Development: Create clear, effective, and concise prompts that elicit desired outputs from LLMs and other AI systems. Developing AI SEO tools and automations. Iteration & Optimization: Continuously analyze and refine prompts to enhance relevance, coherence, and precision. Conduct A/B testing to find the most effective prompting strategies. Research & Innovation: Stay up-to-date with advancements in AI, particularly in LLMs and prompt engineering techniques. Explore new strategies to enhance AI interaction. Collaboration & Communication: Work with developers, data scientists, and other stakeholders to align AI solutions with user and business requirements. Communicate technical concepts clearly to both technical and non-technical teams. Data Management: Collect and analyze data related to AI responses and prompt performance to guide ongoing optimization efforts. Training: Help train non-technical team members on how to use prompts effectively in their workflows. Work Conditions: This role is 100% remote and requires effective communication with teams across different time zones. Regular virtual meetings and reporting sessions are integral to this position. We are a BYOD company. 411 Locals is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
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