Job Description About The Company Axis My India is India’s foremost Consumer Data Intelligence Company, which in partnership with Google is building a single-stop People Empowerment Platform, the ‘a’ app, that aims to change people’s awareness, accessibility, and utilization of a slew of services. At Axis, we are dedicated to making a tangible impact on the lives of millions. If you're passionate about creating meaningful changes and aren't afraid to get your hands dirty, we want you on our team! For more insights of the company, kindly visit our website https://www.axismyindia.org Role Overview The Data Analyst will support Senior data scientists to manage, analyze, and interpret data for driving business decisions across multiple projects, including the ‘a’ app and other initiatives. This position requires advanced statistical knowledge including data science, machine learning techniques and creating AI related tools. Key Responsibilities Conduct relevant statistical tests to validate hypotheses and ensure data-driven outcomes. Support Sr data scientist in designing, developing and deploying advanced statistical and machine learning models to analyze complex datasets, including those from the ‘a’ app and other projects. Perform Exploratory Data Analysis (EDA) to identify patterns, anomalies, and opportunities. Perform data fusion activities by leveraging techniques to merge, reconcile, and analyze information from disparate systems and formats. Identify and employ modern weighing and projection methods to answer key business questions and predict future trends. Support data Visualizer with necessary data for real-time data visualization. Collaborate with product and research teams by providing feedback based on analytical findings. Develop and maintain daily MIS reports and automate highlighting the actionable insights and trends. Define and create Key Performance Indicators (KPIs) based on APP data. Serve as the gatekeeper for data maps, ensuring data integrity and accessibility for stakeholders. Required Skills & Qualifications MSc in Statistics or a related quantitative field. Master in statistical analysis, predictive modelling and data validation. Proficiency in Python is a must with exposure to libraries used for numerical and text analysis such as Pandas, Numpy, PySpark, NLTK, SpaCy, Scikit-Learn, Genism. Complete understanding of using both parametric and non-parametric methods. Advanced knowledge of survey analytics and EDA techniques. Excellent communication skills for cross-functional collaboration. Experience with MIS dashboard development and KPI creation. High attention to detail and commitment to data quality. Preferred Experience (for 1 Year Experience) Experience working with app-based data and multi-project analytics environments. Familiarity with analyzing multiple survey data. Background in creating and managing KPIs aligned with business objectives. Exposure to big data technologies. Requirements Technical Skills Data Analysis & Statistical Expertise: Ability to manipulate large datasets, perform data cleaning, and run relevant statistical tests to validate findings and ensure data accuracy Advanced Excel Skills: Expertise in Excel formulas, pivot tables, macros, and dashboard creation to complement BI tools and automate reporting tasks. Programming Knowledge: Familiarity with Python for data manipulation, exploratory data analysis (EDA), and predictive modelling enhances analytical capabilities. Data Validation & Quality Assurance: Skill in validating data integrity and consistency to ensure reliable dashboard outputs. Analytical & Business Skills Critical Thinking & Problem Solving: Strong analytical mindset to interpret complex data, identify trends, and provide actionable insights. Business Acumen: Understanding of the business context to translate data insights into relevant recommendations and feedback for product and research teams. Communication & Collaboration Effective Communication: Ability to present complex data insights clearly and succinctly to internal stakeholders, including senior executives, through reports, dashboards and presentations. Stakeholder Management: Experience collaborating with cross-functional teams, gathering requirements, and incorporating feedback to refine dashboards and reports. Coaching & Mentoring: Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation Benefits Competitive salary and benefits package Opportunity to make significant contributions to a dynamic company Evening snacks are provided by the company to keep you refreshed towards the end of the day Walking distance from Chakala metro station, making commuting easy and convenient. At Axis My India, we value discipline and focus. Our team members wear uniforms, adhere to a no-mobile policy during work hours, and work from our office with alternate Saturdays off. If you thrive in a structured environment and are committed to excellence, we encourage you to apply. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#9C27B0;border-color:#9C27B0;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> Show more Show less

About The Company Axis My India is India’s foremost Consumer Data Intelligence Company, which in partnership with Google is building a single-stop People Empowerment Platform, the ‘a’ app, that aims to change people’s awareness, accessibility, and utilization of a slew of services. At Axis, we are dedicated to making a tangible impact on the lives of millions. If you're passionate about creating meaningful changes and aren't afraid to get your hands dirty, we want you on our team! For more insights of the company, kindly visit our website https://www.axismyindia.org Role Overview The Senior Analyst will manage, analyze, and interpret data to drive business decisions across multiple projects, including the ‘a’ app and other initiatives. This position requires advanced statistical expertise, proficiency in analytics tools, and the ability to communicate insights effectively to product and research teams. Senior Analyst will be leading the team of 3 to 5 people. Key Responsibilities Conduct relevant statistical tests to validate hypotheses and ensure data-driven outcomes. Design, develop, and deploy advanced statistical and machine learning models to analyze complex datasets, including those from the ‘a’ app and other projects. Perform data fusion activities by leveraging techniques to merge, reconcile, and analyze information from disparate systems and formats. Employing modern weighing and projection methods to answer key business questions and predict future trends. Design and manage interactive dashboards using Power BI for real-time data visualization. Perform Exploratory Data Analysis (EDA) to identify patterns, anomalies, and opportunities. Collaborate with product and research teams by providing feedback based on analytical findings. Analyze survey data to extract actionable insights and trends. Define and create Key Performance Indicators (KPIs) based on APP data. Serve as the gatekeeper for data maps, ensuring data integrity and accessibility for stakeholders. Develop and maintain MIS dashboards Required Skills & Qualifications MSc in Statistics or a related quantitative field. Strong experience in statistical analysis, predictive modelling and data validation. Proficiency in Python and Power BI are necessary with experience of working in libraries used for numerical and text analysis such as Pandas, Numpy, PySpark, NLTK, SpaCy, Scikit-Learn, Genism. Experience of working with both parametric and non-parametric methods. Advanced knowledge of survey analytics and EDA techniques. Excellent communication skills for cross-functional collaboration. Experience with MIS dashboard development and KPI creation. High attention to detail and commitment to data quality. Preferred Experience Experience working with app-based data and multi-project analytics environments. Familiarity with analyzing multiple survey data. Background in creating and managing KPIs aligned with business objectives. Exposure to big data technologies and cloud-based data platforms. Ability to work collaboratively in cross-functional teams involving product, research, and engineering stakeholders. Must have led the data science team in past. Experience of developing algorithms using combination of Data Science and statistics Requirements Technical Skills Data Analysis & Statistical Expertise: Ability to manipulate large datasets, perform data cleaning, and run relevant statistical tests to validate findings and ensure data accuracy Proficiency in Data Visualization Tools: Advanced skills in Power BI to design, develop, and maintain interactive, user-friendly MIS dashboards with features like advanced calculations, parameters, joins, and blending. Advanced Excel Skills: Expertise in Excel formulas, pivot tables, macros, and dashboard creation to complement BI tools and automate reporting tasks. Programming Knowledge: Familiarity with Python for data manipulation, exploratory data analysis (EDA), and predictive modelling enhances analytical capabilities. Data Validation & Quality Assurance: Skill in validating data integrity and consistency to ensure reliable dashboard outputs. Analytical & Business Skills Critical Thinking & Problem Solving: Strong analytical mindset to interpret complex data, identify trends, and provide actionable insights. Business Acumen: Understanding of the business context to translate data insights into relevant recommendations and feedback for product and research teams. Communication & Collaboration Effective Communication: Ability to present complex data insights clearly and succinctly to internal stakeholders, including senior executives, through reports, dashboards and presentations. Stakeholder Management: Experience collaborating with cross-functional teams, gathering requirements, and incorporating feedback to refine dashboards and reports. Coaching & Mentoring: Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation Benefits Competitive salary and benefits package Opportunity to make significant contributions to a dynamic company Evening snacks are provided by the company to keep you refreshed towards the end of the day Walking distance from Chakala metro station, making commuting easy and convenient. At Axis My India, we value discipline and focus. Our team members wear uniforms, adhere to a no-mobile policy during work hours, and work from our office with alternate Saturdays off. If you thrive in a structured environment and are committed to excellence, we encourage you to apply. Show more Show less

Bold is seeking for newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required Job Description ABOUT THIS TEAM The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL. The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology. WHAT YOU’LL DO Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc. Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience Collaborates effectively with cross functional teams to deliver end-to-end products & features. Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. Estimates efforts, identify risks, devises and meets project schedules. Runs review meetings effectively and drive the closure of all open issues on time Mentors/coaches data scientists to facilitate their development and provide technical leadership to them. Rises above detail to see broader issues and implications for whole product/team. WHAT YOU’LL NEED Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods Expert knowledge in Python. Experience in using large language models. Fine-tuning knowledge is good to have. Experience in feature selection, building and optimising classifiers. Experience working with backend technologies such as Flask/ Gunicorn etc. Experience on working with open source library such Spacy,NLTK,Gensim etc Experience on working with deep-learning library such as Tensor flow, Pytorch etc Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. Be a keen learner and enthusiastic about developing software. WHAT'S GOOD TO HAVE Experience with Cloud infrastructure and platforms (Azure, AWS) Experience using tools to deploy models into the production environment such as Jenkins EXPERIENCE- Module Lead- 5.5 years+ BENEFITS Outstanding Compensation Competitive salary Tax-friendly compensation structure Bi-annual bonus Annual Appraisal Equity in company 100% Full Health Benefits Group Mediclaim, personal accident, & term life insurance Group Mediclaim benefit (including parents' coverage) Practo Plus health membership for employees and family Personal accident and term life insurance coverage Flexible Time Away 24 days paid leaves Declared fixed holidays Paternity and maternity leave Compassionate and marriage leave Covid leave (up to 7 days) ADDITIONAL BENEFITS Internet and home office reimbursement In-office catered lunch, meals, and snacks Certification policy Cab pick-up and drop-off facility About BOLD We Transform Work Lives As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives. We Celebrate And Promote Diversity And Inclusion We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law. Show more Show less

Job Title: Data Scientist Job Location: Jaipur Experience: 3 to 6 years Job Description: We are seeking a highly skilled and innovative Data Scientist to join our dynamic and forward-thinking team. This role is ideal for someone who is passionate about advancing the fields of Classical Machine Learning, Conversational AI, and Deep Learning Systems, and thrives on translating complex mathematical challenges into actionable machine learning models. The successful candidate will focus on developing, designing, and maintaining cutting-edge AI-based systems, ensuring seamless and engaging user experiences.Additionally, the role involves active participation in a wide variety of Natural Language Processing (NLP) tasks, including refining and optimizing prompts to enhance the performance of Large Language Models (LLMs). Key Responsibilities: • Generative AI Solutions: Develop innovative Generative AI solutions using machine learning and AI technologies, including building and fine-tuning models such as GANs, VAEs, and Transformers. • Classical ML Models: Design and develop machine learning models (regression, decision trees, SVMs, random forests, gradient boosting, clustering, dimensionality reduction) to address complex business challenges. • Deep Learning Systems: Train, fine-tune, and deploy deep learning models such as CNNs, RNNs, LSTMs, GANs, and Transformers to solve AI problems and optimize performance. • NLP and LLM Optimization: Participate in Natural Language Processing activities, refining and optimizing prompts to improve outcomes for Large Language Models (LLMs), such as GPT, BERT, and T5. • Data Management & Feature Engineering: Work with large datasets, perform data preprocessing, augmentation, and feature engineering to prepare data for machine learning and deep learning models. • Model Evaluation & Monitoring: Fine-tune models through hyperparameter optimization (grid search, random search, Bayesian optimization) to improve performance metrics (accuracy, precision, recall, F1-score). Monitor model performance to address drift, overfitting, and bias. • Code Review & Design Optimization: Participate in code and design reviews, ensuring quality and scalability in system architecture and development. Work closely with other engineers to review algorithms, validate models, and improve overall system efficiency. • Collaboration & Research: Collaborate with cross-functional teams including data scientists, engineers, and product managers to integrate machine learning solutions into production. Stay up to date with the latest AI/ML trends and research, applying cutting-edge techniques to projects. Qualifications: • Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Data Science, or any related field. • Experience in Machine Learning: Extensive experience in both classical machine learning techniques (e.g., regression, SVM, decision trees) and deep learning systems (e.g., neural networks, transformers). Experience with frameworks such as TensorFlow, PyTorch, or Keras. • Natural Language Processing Expertise: Proven experience in NLP, especially with Large Language Models (LLMs) like GPT, BERT, or T5. Experience in prompt engineering, fine-tuning, and optimizing model outcomes is a strong plus. • Programming Skills: Proficiency in Python and relevant libraries such as NumPy, Pandas, Scikit-learn, and natural language processing libraries (e.g., Hugging Face Transformers, NLTK, SpaCy). • Mathematical & Statistical Knowledge: Strong understanding of statistical modeling, probability theory, and mathematical optimization techniques used in machine learning. • Model Deployment & Automation: Experience with deploying machine learning models into production environments using platforms such as AWS SageMaker or Azure ML, GCP AI, or similar. Familiarity with MLOps practices is an advantage. • Code Review & System Design: Experience in code review, design optimization, and ensuring quality in large-scale AI/ML systems. Understanding of distributed computing and parallel processing is a plus. Soft Skills & Behavioural Qualifications: • Must be a good team player and self-motivated to achieve positive results • Must have excellent communication skills in English. • Exhibits strong presentation skills with attention to detail. • It’s essential to have a strong aptitude for learning new techniques. • Takes ownership for responsibilities. • Demonstrates a high degree of reliability, integrity, and trustworthiness • Ability to manage time, displays appropriate sense of urgency and meet/exceed all deadlines • Ability to accurately process high volumes of work within established deadlines. Interested Candidate can share your CV or Reference at sulabh.tailang@celebaltech.com Show more Show less

Note If shortlisted, we’ll contact you via WhatsApp and email. Please monitor both and respond promptly. Location: Hyderabad Work Mode: Work from Office Salary : INR(₹) 1,600,000 to 2,200,000 Joining Time / Notice Period: Immediate – 15 days About The Client We’re hiring for a leading digital-first company driving large-scale transformation through AI, analytics, and cloud technologies. Focused on hyper-personalized customer experiences, they implement modern CDPs and marketing intelligence systems to unlock data-driven growth across industries. Job Purpose The client is looking for an experienced CDP & Marketing Analytics Specialist to lead the implementation and optimization of Customer Data Platforms (CDPs) and AI-powered marketing analytics. The role aims to bridge data engineering and marketing strategy, enabling real-time personalization, intelligent decisioning, and performance tracking through advanced data ingestion, ML modeling, and GenAI applications. Roles And Responsibilities Architect and implement customer data ingestion pipelines from sources like CRM, mobile, PoS, and social media into a unified CDP. Build real-time streaming data pipelines using Azure Data Factory, Databricks, Kafka, and similar tools. Design composable CDP solutions on modern data platforms like Snowflake or Databricks. Develop and operationalize AI/ML models for customer segmentation, churn prediction, lifetime value analysis, and campaign attribution. Apply NLP techniques for sentiment analysis, intent detection, and dynamic engagement strategies. Build Next Best Action (NBA) and propensity models for predictive targeting and optimization. Must-Have Qualifications & Skills Bachelor's or Master’s degree in Computer Science, Data Science, Marketing Analytics, or a related field. 5+ years of hands-on experience in CDP implementation and marketing analytics. Strong programming skills in Python and SQL; experienced with ML frameworks such as scikit-learn, TensorFlow, or PyTorch. Proven expertise in cloud platforms (Azure Data Factory, Databricks, Synapse, Snowflake). Practical experience with NLP libraries such as spaCy, NLTK, or Hugging Face Transformers. Experience in building and deploying GenAI applications including chatbots, dynamic content, and synthetic data. Understanding of marketing attribution models, funnel metrics, and customer retention strategies. Strong communication skills with the ability to engage stakeholders across marketing and technology teams. Preferred Skills - Experience with CDP tools like Segment, Hightouch, Salesforce CDP, mParticle, or Amperity. Familiarity with MLOps and model monitoring practices. Background in B2C or D2C industries such as e-commerce, retail, or travel. Show more Show less

Greetings From Pranathi Software Services Pvt Ltd!!! We have vacancies for Data Scientist position in our organization. 📌 Experience: 3+ years 📌 Location: Hyderabad(Onsite) 📌 Timings: 12PM to 9PM Required Skills & Qualifications: Programming: Proficiency in Python. Machine Learning & Deep Learning: Strong experience in developing and deploying ML/DL models. NLP: Expertise in working with NLP frameworks such as Hugging Face Transformers, SpaCy, NLTK, etc. Computer Vision: Experience with OpenCV, TensorFlow, PyTorch, or other relevant frameworks. Generative AI: Hands-on experience with LLMs, diffusion models, GANs, VAEs, and other generative techniques. Transformers & RAG: Strong understanding of transformer architectures (BERT, GPT, LLAMA, etc.) and retrieval-augmented generation methods. Prompt Engineering: Ability to design, optimize, and implement effective prompts for AI applications. Django: Experience in building and maintaining backend services and APIs. Database Management: Proficiency in MySQL and NoSQL databases for efficient data handling. REST API Development: Experience in developing and integrating APIs for AI-powered applications. Cloud & Deployment: Knowledge of cloud platforms (AWS, GCP, Azure) and deployment tools like Docker & Kubernetes. Looking for Immediate Joiners. If interested please share your updated resume at harish@pranathiss.com Show more Show less

Note If shortlisted, we’ll contact you via WhatsApp and email. Please monitor both and respond promptly. Location: Hyderabad Work Mode: Work from Office Salary : INR(₹) 1,600,000 to 2,200,000 Joining Time / Notice Period: Immediate – 15 days About The Client We’re hiring for a leading digital-first company driving large-scale transformation through AI, analytics, and cloud technologies. Focused on hyper-personalized customer experiences, they implement modern CDPs and marketing intelligence systems to unlock data-driven growth across industries. Job Purpose The client is looking for an experienced CDP & Marketing Analytics Specialist to lead the implementation and optimization of Customer Data Platforms (CDPs) and AI-powered marketing analytics. The role aims to bridge data engineering and marketing strategy, enabling real-time personalization, intelligent decisioning, and performance tracking through advanced data ingestion, ML modeling, and GenAI applications. Roles And Responsibilities Architect and implement customer data ingestion pipelines from sources like CRM, mobile, PoS, and social media into a unified CDP. Build real-time streaming data pipelines using Azure Data Factory, Databricks, Kafka, and similar tools. Design composable CDP solutions on modern data platforms like Snowflake or Databricks. Develop and operationalize AI/ML models for customer segmentation, churn prediction, lifetime value analysis, and campaign attribution. Apply NLP techniques for sentiment analysis, intent detection, and dynamic engagement strategies. Build Next Best Action (NBA) and propensity models for predictive targeting and optimization. Must-Have Qualifications & Skills Bachelor's or Master’s degree in Computer Science, Data Science, Marketing Analytics, or a related field. 5+ years of hands-on experience in CDP implementation and marketing analytics. Strong programming skills in Python and SQL; experienced with ML frameworks such as scikit-learn, TensorFlow, or PyTorch. Proven expertise in cloud platforms (Azure Data Factory, Databricks, Synapse, Snowflake). Practical experience with NLP libraries such as spaCy, NLTK, or Hugging Face Transformers. Experience in building and deploying GenAI applications including chatbots, dynamic content, and synthetic data. Understanding of marketing attribution models, funnel metrics, and customer retention strategies. Strong communication skills with the ability to engage stakeholders across marketing and technology teams. Preferred Skills - Experience with CDP tools like Segment, Hightouch, Salesforce CDP, mParticle, or Amperity. Familiarity with MLOps and model monitoring practices. Background in B2C or D2C industries such as e-commerce, retail, or travel. Show more Show less

Note If shortlisted, we’ll contact you via WhatsApp and email. Please monitor both and respond promptly. Location: Hyderabad Work Mode: Work from Office Salary : INR(₹) 1,600,000 to 2,200,000 Joining Time / Notice Period: Immediate – 15 days About The Client We’re hiring for a leading digital-first company driving large-scale transformation through AI, analytics, and cloud technologies. Focused on hyper-personalized customer experiences, they implement modern CDPs and marketing intelligence systems to unlock data-driven growth across industries. Job Purpose The client is looking for an experienced CDP & Marketing Analytics Specialist to lead the implementation and optimization of Customer Data Platforms (CDPs) and AI-powered marketing analytics. The role aims to bridge data engineering and marketing strategy, enabling real-time personalization, intelligent decisioning, and performance tracking through advanced data ingestion, ML modeling, and GenAI applications. Roles And Responsibilities Architect and implement customer data ingestion pipelines from sources like CRM, mobile, PoS, and social media into a unified CDP. Build real-time streaming data pipelines using Azure Data Factory, Databricks, Kafka, and similar tools. Design composable CDP solutions on modern data platforms like Snowflake or Databricks. Develop and operationalize AI/ML models for customer segmentation, churn prediction, lifetime value analysis, and campaign attribution. Apply NLP techniques for sentiment analysis, intent detection, and dynamic engagement strategies. Build Next Best Action (NBA) and propensity models for predictive targeting and optimization. Must-Have Qualifications & Skills Bachelor's or Master’s degree in Computer Science, Data Science, Marketing Analytics, or a related field. 5+ years of hands-on experience in CDP implementation and marketing analytics. Strong programming skills in Python and SQL; experienced with ML frameworks such as scikit-learn, TensorFlow, or PyTorch. Proven expertise in cloud platforms (Azure Data Factory, Databricks, Synapse, Snowflake). Practical experience with NLP libraries such as spaCy, NLTK, or Hugging Face Transformers. Experience in building and deploying GenAI applications including chatbots, dynamic content, and synthetic data. Understanding of marketing attribution models, funnel metrics, and customer retention strategies. Strong communication skills with the ability to engage stakeholders across marketing and technology teams. Preferred Skills - Experience with CDP tools like Segment, Hightouch, Salesforce CDP, mParticle, or Amperity. Familiarity with MLOps and model monitoring practices. Background in B2C or D2C industries such as e-commerce, retail, or travel. Show more Show less

Note If shortlisted, we’ll contact you via WhatsApp and email. Please monitor both and respond promptly. Location: Hyderabad Work Mode: Work from Office Salary : INR(₹) 1,600,000 to 2,200,000 Joining Time / Notice Period: Immediate – 15 days About The Client We’re hiring for a leading digital-first company driving large-scale transformation through AI, analytics, and cloud technologies. Focused on hyper-personalized customer experiences, they implement modern CDPs and marketing intelligence systems to unlock data-driven growth across industries. Job Purpose The client is looking for an experienced CDP & Marketing Analytics Specialist to lead the implementation and optimization of Customer Data Platforms (CDPs) and AI-powered marketing analytics. The role aims to bridge data engineering and marketing strategy, enabling real-time personalization, intelligent decisioning, and performance tracking through advanced data ingestion, ML modeling, and GenAI applications. Roles And Responsibilities Architect and implement customer data ingestion pipelines from sources like CRM, mobile, PoS, and social media into a unified CDP. Build real-time streaming data pipelines using Azure Data Factory, Databricks, Kafka, and similar tools. Design composable CDP solutions on modern data platforms like Snowflake or Databricks. Develop and operationalize AI/ML models for customer segmentation, churn prediction, lifetime value analysis, and campaign attribution. Apply NLP techniques for sentiment analysis, intent detection, and dynamic engagement strategies. Build Next Best Action (NBA) and propensity models for predictive targeting and optimization. Must-Have Qualifications & Skills Bachelor's or Master’s degree in Computer Science, Data Science, Marketing Analytics, or a related field. 5+ years of hands-on experience in CDP implementation and marketing analytics. Strong programming skills in Python and SQL; experienced with ML frameworks such as scikit-learn, TensorFlow, or PyTorch. Proven expertise in cloud platforms (Azure Data Factory, Databricks, Synapse, Snowflake). Practical experience with NLP libraries such as spaCy, NLTK, or Hugging Face Transformers. Experience in building and deploying GenAI applications including chatbots, dynamic content, and synthetic data. Understanding of marketing attribution models, funnel metrics, and customer retention strategies. Strong communication skills with the ability to engage stakeholders across marketing and technology teams. Preferred Skills - Experience with CDP tools like Segment, Hightouch, Salesforce CDP, mParticle, or Amperity. Familiarity with MLOps and model monitoring practices. Background in B2C or D2C industries such as e-commerce, retail, or travel. Show more Show less

Note If shortlisted, we’ll contact you via WhatsApp and email. Please monitor both and respond promptly. Location: Hyderabad Work Mode: Work from Office Salary : INR(₹) 1,600,000 to 2,200,000 Joining Time / Notice Period: Immediate – 15 days About The Client We’re hiring for a leading digital-first company driving large-scale transformation through AI, analytics, and cloud technologies. Focused on hyper-personalized customer experiences, they implement modern CDPs and marketing intelligence systems to unlock data-driven growth across industries. Job Purpose The client is looking for an experienced CDP & Marketing Analytics Specialist to lead the implementation and optimization of Customer Data Platforms (CDPs) and AI-powered marketing analytics. The role aims to bridge data engineering and marketing strategy, enabling real-time personalization, intelligent decisioning, and performance tracking through advanced data ingestion, ML modeling, and GenAI applications. Roles And Responsibilities Architect and implement customer data ingestion pipelines from sources like CRM, mobile, PoS, and social media into a unified CDP. Build real-time streaming data pipelines using Azure Data Factory, Databricks, Kafka, and similar tools. Design composable CDP solutions on modern data platforms like Snowflake or Databricks. Develop and operationalize AI/ML models for customer segmentation, churn prediction, lifetime value analysis, and campaign attribution. Apply NLP techniques for sentiment analysis, intent detection, and dynamic engagement strategies. Build Next Best Action (NBA) and propensity models for predictive targeting and optimization. Must-Have Qualifications & Skills Bachelor's or Master’s degree in Computer Science, Data Science, Marketing Analytics, or a related field. 5+ years of hands-on experience in CDP implementation and marketing analytics. Strong programming skills in Python and SQL; experienced with ML frameworks such as scikit-learn, TensorFlow, or PyTorch. Proven expertise in cloud platforms (Azure Data Factory, Databricks, Synapse, Snowflake). Practical experience with NLP libraries such as spaCy, NLTK, or Hugging Face Transformers. Experience in building and deploying GenAI applications including chatbots, dynamic content, and synthetic data. Understanding of marketing attribution models, funnel metrics, and customer retention strategies. Strong communication skills with the ability to engage stakeholders across marketing and technology teams. Preferred Skills - Experience with CDP tools like Segment, Hightouch, Salesforce CDP, mParticle, or Amperity. Familiarity with MLOps and model monitoring practices. Background in B2C or D2C industries such as e-commerce, retail, or travel. Show more Show less

Seeking a highly skilled and motivated Senior Generative AI Developer with approximately 2 years of hands-on experience in developing and deploying AI models, particularly in the generative space (e.g., NLP, AL/ML, AWS, Python, RASA, MCP, Flutter). Required Candidate profile 2+ yrs of exp in AI/ML dev, with focus on gen models. Prog skills in Python & ML libraries/frameworks Langchain, spacy, NLTK, Hugging Face Exp in AI bot/agent platforms like Make, POE, RetellAI

About The Company Axis My India is India’s foremost Consumer Data Intelligence Company, which in partnership with Google is building a single-stop People Empowerment Platform, the ‘a’ app, that aims to change people’s awareness, accessibility, and utilization of a slew of services. At Axis, we are dedicated to making a tangible impact on the lives of millions. If you're passionate about creating meaningful changes and aren't afraid to get your hands dirty, we want you on our team! For more insights of the company, kindly visit our website https://www.axismyindia.org Role Overview The Data Analyst will support Senior data scientists to manage, analyze, and interpret data for driving business decisions across multiple projects, including the ‘a’ app and other initiatives. This position requires advanced statistical knowledge including data science, machine learning techniques and creating AI related tools. Key Responsibilities Conduct relevant statistical tests to validate hypotheses and ensure data-driven outcomes. Support Sr data scientist in designing, developing and deploying advanced statistical and machine learning models to analyze complex datasets, including those from the ‘a’ app and other projects. Perform Exploratory Data Analysis (EDA) to identify patterns, anomalies, and opportunities. Perform data fusion activities by leveraging techniques to merge, reconcile, and analyze information from disparate systems and formats. Identify and employ modern weighing and projection methods to answer key business questions and predict future trends. Support data Visualizer with necessary data for real-time data visualization. Collaborate with product and research teams by providing feedback based on analytical findings. Develop and maintain daily MIS reports and automate highlighting the actionable insights and trends. Define and create Key Performance Indicators (KPIs) based on APP data. Serve as the gatekeeper for data maps, ensuring data integrity and accessibility for stakeholders. Required Skills & Qualifications MSc in Statistics or a related quantitative field. Master in statistical analysis, predictive modelling and data validation. Proficiency in Python is a must with exposure to libraries used for numerical and text analysis such as Pandas, Numpy, PySpark, NLTK, SpaCy, Scikit-Learn, Genism. Complete understanding of using both parametric and non-parametric methods. Advanced knowledge of survey analytics and EDA techniques. Excellent communication skills for cross-functional collaboration. Experience with MIS dashboard development and KPI creation. High attention to detail and commitment to data quality. Preferred Experience (for 1 Year Experience) Experience working with app-based data and multi-project analytics environments. Familiarity with analyzing multiple survey data. Background in creating and managing KPIs aligned with business objectives. Exposure to big data technologies. Requirements Technical Skills Data Analysis & Statistical Expertise: Ability to manipulate large datasets, perform data cleaning, and run relevant statistical tests to validate findings and ensure data accuracy Advanced Excel Skills: Expertise in Excel formulas, pivot tables, macros, and dashboard creation to complement BI tools and automate reporting tasks. Programming Knowledge: Familiarity with Python for data manipulation, exploratory data analysis (EDA), and predictive modelling enhances analytical capabilities. Data Validation & Quality Assurance: Skill in validating data integrity and consistency to ensure reliable dashboard outputs. Analytical & Business Skills Critical Thinking & Problem Solving: Strong analytical mindset to interpret complex data, identify trends, and provide actionable insights. Business Acumen: Understanding of the business context to translate data insights into relevant recommendations and feedback for product and research teams. Communication & Collaboration Effective Communication: Ability to present complex data insights clearly and succinctly to internal stakeholders, including senior executives, through reports, dashboards and presentations. Stakeholder Management: Experience collaborating with cross-functional teams, gathering requirements, and incorporating feedback to refine dashboards and reports. Coaching & Mentoring: Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation Benefits Competitive salary and benefits package Opportunity to make significant contributions to a dynamic company Evening snacks are provided by the company to keep you refreshed towards the end of the day Walking distance from Chakala metro station, making commuting easy and convenient. At Axis My India, we value discipline and focus. Our team members wear uniforms, adhere to a no-mobile policy during work hours, and work from our office with alternate Saturdays off. If you thrive in a structured environment and are committed to excellence, we encourage you to apply. Show more Show less

About The Company Axis My India is India’s foremost Consumer Data Intelligence Company, which in partnership with Google is building a single-stop People Empowerment Platform, the ‘a’ app, that aims to change people’s awareness, accessibility, and utilization of a slew of services. At Axis, we are dedicated to making a tangible impact on the lives of millions. If you're passionate about creating meaningful changes and aren't afraid to get your hands dirty, we want you on our team! For more insights of the company, kindly visit our website https://www.axismyindia.org Role Overview The Data Analyst will support Senior data scientists to manage, analyze, and interpret data for driving business decisions across multiple projects, including the ‘a’ app and other initiatives. This position requires advanced statistical knowledge including data science, machine learning techniques and creating AI related tools. Key Responsibilities Conduct relevant statistical tests to validate hypotheses and ensure data-driven outcomes. Support Sr data scientist in designing, developing and deploying advanced statistical and machine learning models to analyze complex datasets, including those from the ‘a’ app and other projects. Perform Exploratory Data Analysis (EDA) to identify patterns, anomalies, and opportunities. Perform data fusion activities by leveraging techniques to merge, reconcile, and analyze information from disparate systems and formats. Identify and employ modern weighing and projection methods to answer key business questions and predict future trends. Support data Visualizer with necessary data for real-time data visualization. Collaborate with product and research teams by providing feedback based on analytical findings. Develop and maintain daily MIS reports and automate highlighting the actionable insights and trends. Define and create Key Performance Indicators (KPIs) based on APP data. Serve as the gatekeeper for data maps, ensuring data integrity and accessibility for stakeholders. Required Skills & Qualifications MSc in Statistics or a related quantitative field. Master in statistical analysis, predictive modelling and data validation. Proficiency in Python is a must with exposure to libraries used for numerical and text analysis such as Pandas, Numpy, PySpark, NLTK, SpaCy, Scikit-Learn, Genism. Complete understanding of using both parametric and non-parametric methods. Advanced knowledge of survey analytics and EDA techniques. Excellent communication skills for cross-functional collaboration. Experience with MIS dashboard development and KPI creation. High attention to detail and commitment to data quality. Preferred Experience (for 1 year Experience) Experience working with app-based data and multi-project analytics environments. Familiarity with analyzing multiple survey data. Background in creating and managing KPIs aligned with business objectives. Exposure to big data technologies. Requirements Technical Skills Data Analysis & Statistical Expertise: Ability to manipulate large datasets, perform data cleaning, and run relevant statistical tests to validate findings and ensure data accuracy Advanced Excel Skills: Expertise in Excel formulas, pivot tables, macros, and dashboard creation to complement BI tools and automate reporting tasks. Programming Knowledge: Familiarity with Python for data manipulation, exploratory data analysis (EDA), and predictive modelling enhances analytical capabilities. Data Validation & Quality Assurance: Skill in validating data integrity and consistency to ensure reliable dashboard outputs. Analytical & Business Skills Critical Thinking & Problem Solving: Strong analytical mindset to interpret complex data, identify trends, and provide actionable insights. Business Acumen: Understanding of the business context to translate data insights into relevant recommendations and feedback for product and research teams. Communication & Collaboration Effective Communication: Ability to present complex data insights clearly and succinctly to internal stakeholders, including senior executives, through reports, dashboards and presentations. Stakeholder Management: Experience collaborating with cross-functional teams, gathering requirements, and incorporating feedback to refine dashboards and reports. Coaching & Mentoring: Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation Benefits Competitive salary and benefits package Opportunity to make significant contributions to a dynamic company Evening snacks are provided by the company to keep you refreshed towards the end of the day Walking distance from Chakala metro station, making commuting easy and convenient. At Axis My India, we value discipline and focus. Our team members wear uniforms, adhere to a no-mobile policy during work hours, and work from our office with alternate Saturdays off. If you thrive in a structured environment and are committed to excellence, we encourage you to apply. Date Opened 05/23/2025 Industry Research Job Type Full time City Mumbai State/Province Maharashtra Country India Zip/Postal Code 400093

We are looking for a passionate and skilled AI/ML Developer with 4 to 9 years of experience to join our team in Kolkata. The ideal candidate will have hands-on experience in building and deploying AI/ML models, with strong proficiency in Python, machine learning frameworks, and a solid understanding of modern development practices. Role & responsibilities Design, develop, and deploy machine learning and AI solutions for business needs. Work with Generative AI models, Whisper (Speech-to-Text/Text-to-Speech), and NLP-based chatbot solutions. Build and maintain scalable and reliable AI model pipelines. Collaborate with cross-functional teams using Agile methodologies. Perform data preprocessing, feature engineering, and model tuning. Deploy models to production environments and monitor performance. Integrate AI/ML solutions into web applications using technologies such as React.js, Oracle APEX, Oracle JET, and HTML5. Participate in system design and apply software engineering best practices including design patterns and testing. Preferred candidate profile AI/ML & Data: Machine Learning, Deep Learning Generative AI, Whisper (Speech-to-Text/Text-to-Speech) Chatbot Development, Natural Language Processing (NLP) AI Model Deployment (cloud/on-premise) Programming & Frameworks: Proficient in Python Experience with TensorFlow, PyTorch Frontend/Backend & Scripting: React.js, HTML5 Oracle APEX, Oracle JET Linux Shell Scripting Tools & DevOps: Docker, Git, Jira Methodologies: Agile Development System Design, Design Patterns Preferred Qualifications: Bachelors/Master’s degree in Computer Science, Engineering, or a related field. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Experience working in a product or R&D environment is a plus.

We're looking for an experienced AI/ML Technical Lead to architect and drive the development of our intelligent conversation engine. Youll lead model selection, integration, training workflows (RAG/fine-tuning), and scalable deployment of natural language and voice AI components. This is a foundational hire for a technically ambitious platform. Role & responsibilities AI System Architecture: Design the architecture of the AI-powered agent including LLM-based conversation workflows, voice bots, and follow-up orchestration. Model Integration & Prompt Engineering: Leverage APIs from OpenAI, Anthropic, or deploy open models (e.g., LLaMA 3, Mistral). Implement effective prompt strategies and retrieval-augmented generation (RAG) pipelines for contextual responses. Data Pipelines & Knowledge Management: Build secure data pipelines to ingest, embed, and serve tenant-specific knowledge bases (FAQs, scripts, product docs) using vector databases (e.g., Pinecone, Weaviate). Voice & Text Interfaces: Implement and optimize multimodal agents (text + voice) using ASR (e.g., Whisper), TTS (e.g., Polly), and NLP for automated qualification and call handling. Conversational Flow Orchestration: Design dynamic, stateful conversations that can take actions (e.g., book meetings, update CRM records) using tools like LangChain, Temporal, or n8n. Platform Scalability: Ensure models and agent workflows scale across tenants with strong data isolation, caching, and secure API access. Lead a Cross-Functional Team: Collaborate with backend, frontend, and DevOps engineers to ship intelligent, production-ready features. Monitoring & Feedback Loops: Define and monitor conversation analytics (drop-offs, booking rates, escalation triggers), and create pipelines to improve AI quality continuously. Preferred candidate profile Qualifications Must-Haves: 5+ years of experience in ML/AI, with at least 2 years leading conversational AI or LLM projects. Strong background in NLP, dialog systems, or voice AI preferably with production experience. Experience with OpenAI, or open-source LLMs (e.g. LLaMA, Mistral, Falcon) and orchestration tools (LangChain, etc.). Proficiency with Python and ML frameworks (Hugging Face, PyTorch, TensorFlow). Experience deploying RAG pipelines, vector DBs (e.g. Pinecone, Weaviate), and managing LLM-agent logic. Familiarity with voice processing (ASR, TTS, IVR design). Solid understanding of API-based integration and microservices. Deep care for data privacy, multi-tenancy security, and ethical AI practices. Nice-to-Haves: Experience with CRM ecosystems (e.g. Salesforce, HubSpot) and how AI agents sync actions to CRMs. Knowledge of sales pipelines and marketing automation tools. Exposure to calendar integrations (Google Calendar API, Microsoft Graph). Knowledge of Twilio APIs (SMS, Voice, WhatsApp) and channel orchestration logic. Familiarity with Docker, Kubernetes, CI/CD, and scalable cloud infrastructure (AWS/GCP/Azure). What We Offer Founding team role with strong ownership and autonomy Opportunity to shape the future of AI-powered sales Flexible work environment Competitive salary Access to cutting-edge AI tools and training resources Post your resume and any relevant project links (GitHub, blog, portfolio) to career@sourcdeskglobal.com. Include a short note on your most interesting AI project or voicebot/conversational AI experience.

At Murf AI , we're simplifying multimedia creation by harnessing the power of artificial intelligence. Our platform empowers users to craft high-quality voiceovers effortlessly, without the need for recording equipment. Some interesting facts about Murf AI: Customers in 100+ countries 8Mn+ registered users 6X growth in revenue in last 12 months 120+ voices in 20+ languages offered by Murf Studio Rated by G2 as Top 10 Fastest Growing Products in 2024 We are working on bleeding-edge research problems, in synthetic speech, synthetic video and dubbing Job Summary : We are seeking a seasoned Python Developer with 1-3 years of experience . In this role, you will work closely with research engineers and linguists to develop and enhance NLP systems in the speech synthesis domain. This position requires strong analytical and critical thinking skills, effective communication, and a passion for creating high-quality software. Roles & Responsibilities: Develop NLP systems according to the project requirements Collaborate with international language experts to incorporate diverse linguistic features Work with large datasets to support language learning and model training Analyse and implement changes as needed, ensuring all bugs are addressed and resolved Deliver high-quality code with zero defects by following industry best practices and maintaining rigorous testing standards Contribute to patent filing and intellectual property protection activities, as applicable Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field from Tier 1 Colleges 1-3 years of experience in Python development Experience with NLP and machine learning frameworks such as NLTK, spaCy, TensorFlow, or PyTorch Strong problem-solving skills and ability to implement algorithms efficiently Experience working with large datasets and data preprocessing techniques Ability to write clean, maintainable, and efficient code Familiarity with version control systems (e.g., Git) Excellent communication skills and ability to work effectively in a team environment Attention to detail and commitment to delivering high-quality, bug-free software Extra Awesome Experience with speech synthesis or related domains Knowledge of additional programming languages like Java Knowledge of Web servers and databases Benefits/Perks: Collaborative and stimulating work environment Opportunity to work with cutting-edge technologies and make a significant impact in the field of generative video AI Insurance/healthcare coverage as per company policy Leaves available as per company policy Why Murf.ai? Murf AI is revolutionizing creative workflows for businesses through the utilization of our cutting-edge AI technology. Recognized as a consistent Leader and Momentum Leader on G2 in 2022 and 2023, we empower L&D and creative teams to evolve into dynamic creative powerhouses. With a focus on cutting-edge research and innovation, a positive work culture, and real impact in the AI-driven space, Murf.ai is one of the fastest-growing companies in the AI voice space. Join us at this pivotal moment, where your ideas matter, and your leadership can leave a lasting impact. If you're ready for a challenge and have the vision to lead from the front, Murf.ai is where your journey into the next chapter of AI innovation begins. Show more Show less

Greetings From Pranathi Software Services Pvt Ltd!!! We have vacancies for Data Scientist position in our organization. 📌 Experience: 3+ years 📌 Location: Hyderabad(Onsite) 📌 Timings: 12PM to 9PM Required Skills & Qualifications: Programming: Proficiency in Python. Machine Learning & Deep Learning: Strong experience in developing and deploying ML/DL models. NLP: Expertise in working with NLP frameworks such as Hugging Face Transformers, SpaCy, NLTK, etc. Computer Vision: Experience with OpenCV, TensorFlow, PyTorch, or other relevant frameworks. Generative AI: Hands-on experience with LLMs, diffusion models, GANs, VAEs, and other generative techniques. Transformers & RAG: Strong understanding of transformer architectures (BERT, GPT, LLAMA, etc.) and retrieval-augmented generation methods. Prompt Engineering: Ability to design, optimize, and implement effective prompts for AI applications. Django: Experience in building and maintaining backend services and APIs. Database Management: Proficiency in MySQL and NoSQL databases for efficient data handling. REST API Development: Experience in developing and integrating APIs for AI-powered applications. Cloud & Deployment: Knowledge of cloud platforms (AWS, GCP, Azure) and deployment tools like Docker & Kubernetes. Looking for Immediate Joiners. If interested please share your updated resume at harish@pranathiss.com Show more Show less

ob Title: AI Full stack Developer – GenAI & NLP Location: Pune, India (Hybrid) Work Mode: Remote Experience Required: 2+ Years (Relevant AI/ML with GenAI & NLP) Salary: Up to ₹15 LPA (CTC) Employment Type: Full-time Department: AI Research & Development Role Overview We are looking for a passionate AI Developer with strong hands-on experience in Generative AI and Natural Language Processing (NLP) to help build intelligent and scalable solutions. In this role, you will design and deploy advanced AI models for tasks such as language generation, summarization, chatbot development, document analysis, and more. You’ll work with cutting-edge LLMs (Large Language Models) and contribute to impactful AI initiatives. Key Responsibilities Design, fine-tune, and deploy NLP and GenAI models using LLMs like GPT, BERT, LLaMA, or similar. Build applications for tasks like text generation, question-answering, summarization, sentiment analysis, and semantic search. Integrate language models into production systems using RESTful APIs or cloud services. Evaluate and optimize models for accuracy, latency, and cost. Collaborate with product and engineering teams to implement intelligent user-facing features. Preprocess and annotate text data, create custom datasets, and manage model pipelines. Stay updated on the latest advancements in generative AI, transformer models, and NLP frameworks. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. Minimum 2 years of experience in fullstack development and AI/ML development, with recent work in NLP or Generative AI. Hands-on experience with models such as GPT, T5, BERT, or similar transformer-based architectures. Proficient in Python and libraries such as Hugging Face Transformers, spaCy, NLTK, or OpenAI APIs. Hands-on experience in any frontend/ backend technologies for software development. Experience with deploying models using Flask, FastAPI, or similar frameworks. Strong understanding of NLP tasks, embeddings, vector databases (e.g., FAISS, Pinecone), and prompt engineering. Familiarity with MLOps tools and cloud platforms (AWS, Azure, or GCP). Preferred Qualifications Experience with LangChain, RAG (Retrieval-Augmented Generation), or custom LLM fine-tuning. Knowledge of model compression, quantization, or inference optimization. Exposure to ethical AI, model interpretability, and data privacy practices. What We Offer Competitive salary package up to ₹15 LPA. Remote work flexibility with hybrid team collaboration in Pune. Opportunity to work on real-world generative AI and NLP applications. Access to resources for continuous learning and certification support. Inclusive, fast-paced, and innovative work culture. Skills: r,kubernetes,next.js,docker,rag architectures,large language models (llms),gcp,embeddings,large language models,bert,javascript,django,machine learning (ml),cloud,tensorflow,machine learning,openai,artificial intelligence,natural language processing (nlp),vector databases,nltk,ai tools,langchain,fastapi,ml,typescript,react.js,java,deep learning,ai development,aws,flask,natural language processing,gpt,nlp tasks,hugging face,hugging face transformers,mlops tools,azure,generative ai,ai technologies,google cloud,node.js,python,nlp,spacy,mlops,ci/cd,pytorch,computer vision Show more Show less

ob Title: AI Full stack Developer – GenAI & NLP Location: Pune, India (Hybrid) Work Mode: Remote Experience Required: 2+ Years (Relevant AI/ML with GenAI & NLP) Salary: Up to ₹15 LPA (CTC) Employment Type: Full-time Department: AI Research & Development Role Overview We are looking for a passionate AI Developer with strong hands-on experience in Generative AI and Natural Language Processing (NLP) to help build intelligent and scalable solutions. In this role, you will design and deploy advanced AI models for tasks such as language generation, summarization, chatbot development, document analysis, and more. You’ll work with cutting-edge LLMs (Large Language Models) and contribute to impactful AI initiatives. Key Responsibilities Design, fine-tune, and deploy NLP and GenAI models using LLMs like GPT, BERT, LLaMA, or similar. Build applications for tasks like text generation, question-answering, summarization, sentiment analysis, and semantic search. Integrate language models into production systems using RESTful APIs or cloud services. Evaluate and optimize models for accuracy, latency, and cost. Collaborate with product and engineering teams to implement intelligent user-facing features. Preprocess and annotate text data, create custom datasets, and manage model pipelines. Stay updated on the latest advancements in generative AI, transformer models, and NLP frameworks. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. Minimum 2 years of experience in fullstack development and AI/ML development, with recent work in NLP or Generative AI. Hands-on experience with models such as GPT, T5, BERT, or similar transformer-based architectures. Proficient in Python and libraries such as Hugging Face Transformers, spaCy, NLTK, or OpenAI APIs. Hands-on experience in any frontend/ backend technologies for software development. Experience with deploying models using Flask, FastAPI, or similar frameworks. Strong understanding of NLP tasks, embeddings, vector databases (e.g., FAISS, Pinecone), and prompt engineering. Familiarity with MLOps tools and cloud platforms (AWS, Azure, or GCP). Preferred Qualifications Experience with LangChain, RAG (Retrieval-Augmented Generation), or custom LLM fine-tuning. Knowledge of model compression, quantization, or inference optimization. Exposure to ethical AI, model interpretability, and data privacy practices. What We Offer Competitive salary package up to ₹15 LPA. Remote work flexibility with hybrid team collaboration in Pune. Opportunity to work on real-world generative AI and NLP applications. Access to resources for continuous learning and certification support. Inclusive, fast-paced, and innovative work culture. Skills: computer vision,next.js,r,mlops,artificial intelligence,nltk,flask,aws,react.js,bert,hugging face,embeddings,google cloud,machine learning,machine learning (ml),natural language processing,hugging face transformers,natural language processing (nlp),ci/cd,nlp,django,python,large language models,pytorch,fastapi,large language models (llms),openai,ai technologies,typescript,ai tools,azure,kubernetes,gcp,llama,mlops tools,gpt,vector databases,javascript,rag architectures,nlp tasks,langchain,openai apis,spacy,docker,ai development,tensorflow,ml,node.js,generative ai,java,cloud,deep learning Show more Show less

BOLD is seeking for addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required Job Description ABOUT THIS TEAM The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL. The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology. WHAT YOU’LL DO Demonstrate ability to work on data science projects involving predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc. Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience WHAT YOU’LL NEED Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods Expert knowledge in Python. Should have done one or more projects involving fine-tuning with LLMs Experience in feature selection, building and optimising classifiers. Experience working with backend technologies such as Flask/ Gunicorn etc. Experience on working with open source library such Spacy,NLTK,Gensim etc Experience on working with deep-learning library such as Tensor flow, Pytorch etc Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. Be a keen learner and enthusiastic about developing software. WHAT'S GOOD TO HAVE Experience with Cloud infrastructure and platforms (Azure, AWS) Experience using tools to deploy models into the production environment such as Jenkins Experience with the ontology/taxonomies of the career/ recruiting domain e.g. O*Net – NR EXPERIENCE- Software Engineer, DataScience- 2.5 years+ BENEFITS Outstanding Compensation Competitive salary Tax-friendly compensation structure Bi-annual bonus Annual Appraisal Equity in company 100% Full Health Benefits Group Mediclaim, personal accident, & term life insurance Group Mediclaim benefit (including parents' coverage) Practo Plus health membership for employees and family Personal accident and term life insurance coverage Flexible Time Away 24 days paid leaves Declared fixed holidays Paternity and maternity leave Compassionate and marriage leave Covid leave (up to 7 days) ADDITIONAL BENEFITS Internet and home office reimbursement In-office catered lunch, meals, and snacks Certification policy Cab pick-up and drop-off facility About BOLD We Transform Work Lives As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives. We Celebrate And Promote Diversity And Inclusion We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law. Show more Show less

Job Title: Machine Learning Engineer (Gen AI and AI ML) Job Summary Primary Skills: Master's degree from Computer science, Mathematics, Statistics and other relative disciplines Experience using statistical computer languages (Python, R, etc.) to manipulate data and draw insights from large data sets. Knowledge of a variety of machine learning techniques (clustering, decision trees, boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of popular ML and non-ML libraries: Tensorflow, Torch, Sklearn, Scipy, Xgboost,… Knowledge of popular cloud infrastructure: Google Cloud, AWS, Microsoft Azure, … Excellent written and verbal communication skills for coordinating across teams. Experience in code management using Git Secondary Skills Experience in Ecommerce or Advertising verticals is a plus Experience on NLP, Time Series Forecasting, Computer vision, and other relative domains is a plus Experience on popular NLP and Computer vision libraries is a plus: Spacy, NLTK, OpenCV, … Experience on parallel computing and GPU acceleration is a plus Experience on LLM’s utilization and fine tuning, GEN AI solutioning along with RAG is a must Responsibilities Mine and analyze data from company databases to drive optimization and improvement for product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Transforming data science prototypes and applying appropriate algorithms and tools. Develop custom ML and non-ML models and algorithms to apply to data sets. Define the evaluation approach of models. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Coordinate with different functional teams to implement models and monitor outcomes. Keeping abreast of developments in corresponding domains. Skills: r,sklearn,nltk,torch,llm,microsoft azure,aws,scipy,git,opencv,machine learning techniques,machine learning,google cloud,xgboost,spacy,nlp,tensorflow,python,code management,gen ai,time series forecasting,computer vision Show more Show less

We are looking for a Machine Learning Engineer to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to execute tests and optimize Proximity’s machine-learning models and algorithms. The ideal candidate will have a strong background in machine learning, data science, and software development and will work closely with our product, data science, and engineering teams to develop, deploy, and maintain machine learning models that drive our vision. you will be responsible for – Designing, developing, testing, and deploying machine learning models for various applications Collaborating with data scientists, software engineers, and product managers to develop data-driven features. Optimizing and improving the performance of existing machine learning models. Implementing and maintaining scalable machine learning pipelines and infrastructure. Analyzing and preprocessing large datasets to extract valuable insights and features. Staying updated with the latest developments in machine learning, deep learning, and related technologies. Conducting model training, validation, and performance evaluation to ensure models meet the required accuracy and reliability. Creating and maintaining documentation related to machine learning models, algorithms, and processes. Developing A/B testing frameworks and managing the deployment of models in production. what you need – Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. 3+ years of experience in AI and Machine learning 1+ years of experience in GenAI Proven experience as a Machine Learning Engineer, Data Scientist, or in a similar role. Strong programming skills in Python, R, or similar languages. Proficiency with machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit learn, etc and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers) Experience with data preprocessing, data wrangling, and data visualization. Hands-on experience with SQL databases and API integration Experience with text generation techniques, including language models like GPT Hands-on experience with cloud platforms (AWS, GCP, or Azure) and deploying models in production. Solid understanding of machine learning algorithms, deep learning architectures, and statistical methods. Experience with version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines. Ability to work in a collaborative environment and communicate effectively with cross-functional teams. bonus points for – Knowledge of natural language processing (NLP) and its applications. Experience with MLOps tools and best practices for scalable model deployment and monitoring. Familiarity with data privacy and security regulations Experience with real-time data processing and streaming technologies Experience with reinforcement learning, generative models, or unsupervised learning techniques. what you get – Best in class salary: We hire only the best, and we pay accordingly. Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field. Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day. about us – Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media and Entertainment companies in the world! We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies. We are Proximity — a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company’s success will be huge. You’ll have the chance to work with experienced leaders who have built and led multiple tech, product and design teams. Here’s a quick guide to getting to know us better: Watch our CEO, Hardik Jagda, tell you all about Proximity. Read about Proximity’s values and meet some of our Proxonauts here. Explore our website, blog, and the design wing — Studio Proximity. Get behind-the-scenes with us on Instagram! Follow @ProxWrks and @H.Jagda. Show more Show less

Experience: 4-7 Location: Pune Primary Skills: Machine Learning, NLP, Pandas, NumPy, SciPy, scikit-learn, NLTK Job Description: Strong background in machine learning (unsupervised and supervised techniques) with significant experience in text analytics/NLP. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc. Strong programming ability in Python with experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, etc. Good knowledge of database query languages like SQL and experience with databases (PostgreSQL/MySQL/ Oracle/ MongoDB) Excellent verbal and written communication skills, Excellent analytical and problem-solving skills Degree in Computer Science, Engineering or relevant field is preferred. Proven Experience as Data Analyst or Data Scientist Good To Have: Familiarity with Hive, Pig and Scala. Experience with Data Visualization Tools like matplotlib, plotly, seaborn, ggplot, etc. Experience with using cloud technologies on AWS/ Microsoft Azure. Show more Show less

We are looking for a Machine Learning Engineer to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to execute tests and optimize Proximity's machine-learning models and algorithms. The ideal candidate will have a strong background in machine learning, data science, and software development and will work closely with our product, data science, and engineering teams to develop, deploy, and maintain machine learning models that drive our vision. Requirements you will be responsible for - Designing, developing, testing, and deploying machine learning models for various applications Collaborating with data scientists, software engineers, and product managers to develop data-driven features Optimizing and improving the performance of existing machine learning models Implementing and maintaining scalable machine learning pipelines and infrastructure Analyzing and preprocessing large datasets to extract valuable insights and features Staying updated with the latest developments in machine learning, deep learning, and related technologies Conducting model training, validation, and performance evaluation to ensure models meet the required accuracy and reliability Creating and maintaining documentation related to machine learning models, algorithms, and processes Developing A/B testing frameworks and managing the deployment of models in production What You Need - Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field 3+ years of experience in AI and Machine learning 1+ years of experience in GenAI Proven experience as a Machine Learning Engineer, Data Scientist, or in a similar role Strong programming skills in Python, R, or similar languages Proficiency with machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit learn, etc and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers) Experience with data preprocessing, data wrangling, and data visualization Hands-on experience with SQL databases and API integration Experience with text generation techniques, including language models like GPT Hands-on experience with cloud platforms (AWS, GCP, or Azure) and deploying models in production Solid understanding of machine learning algorithms, deep learning architectures, and statistical methods Experience with version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines Ability to work in a collaborative environment and communicate effectively with cross-functional teams bonus points for - Knowledge of natural language processing (NLP) and its applications Experience with MLOps tools and best practices for scalable model deployment and monitoring Familiarity with data privacy and security regulations Experience with real-time data processing and streaming technologies Experience with reinforcement learning, generative models, or unsupervised learning techniques Benefits what you get - Best in class salary: We hire only the best, and we pay accordingly Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day About Us - Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media and Entertainment companies in the world! We're headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies. We are Proximity — a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company's success will be huge. You'll have the chance to work with experienced leaders who have built and led multiple tech, product and design teams. Here's a quick guide to getting to know us better: Watch our CEO, Hardik Jagda, tell you all about Proximity Read about Proximity's values and meet some of our Proxonauts here Explore our website, blog, and the design wing — Studio Proximity Get behind-the-scenes with us on Instagram! Follow @ProxWrks and @H.Jagda Show more Show less

Senior Full Stack Java Developer About Company: Phoenix Code Crafter Pvt Ltd . is a dynamic IT solutions subsidiary of Phoenix Assurance Pvt Ltd. , specializing in innovative software development tailored specifically for the Insuranc e Industry, healthcare sector, Third Party Administrator (TPA), and Third-party audit companies. Leveraging cutting-edge technology and deep domain expertise, the company delivers unique, transformative software solutions that address complex operational challenges and drive digital transformation for its clients. With a commitment to excellence and technological innovation, Phoenix Code Crafter empowers organizations to enhance their efficiency, productivity, and service delivery through sophisticated, custom-built IT solutions. 📍 Job Location: 1005 - 1015 10th Floor Shilp Zaveri Building, Ahmedabad, Gujarat 380015 · Eligibility: BE in Computer Science, MCA, or an equivalent degree · Work Type: Work from Office · Experience: 5-10 Years · Salary: 8-15 LPA (On the basis of Experience) · Working Days: Monday to Saturday Joining: Immediate Job Summary We are looking for a Senior Full Stack Java Developer with 5 to 10 years of experience to join our team. The ideal candidate should have expertise in Spring Boot, Microservices, and Docker for backend development and React.js/Angular for frontend development. The role also requires experience with PostgreSQL/ClickHouse , and DevOps tools. Key Responsibilities Develop and maintain Java-based microservices using Spring Boot Design and build user-friendly front-end applications using React.js/Angular Deploy and manage containerized applications using Docker Manage and optimize PostgreSQL OR ClickHouse databases Implement CI/CD pipelines for automated deployments Use Git/GitHub for version control and collaboration Optimize application performance on both frontend and backend Collaborate with cross-functional teams to deliver high-quality software Required Skills & Experience: ✔ 5-10 years of experience in Full Stack development ✔ Strong backend experience with Java, Spring Boot & Microservices architecture ✔ Hands-on frontend experience with React.js/Angular ✔ Proficiency in Docker for containerization ✔ Expertise in PostgreSQL and ClickHouse databases ✔ Familiarity with CI/CD tools , IntelliJ , Git , and GitHub ✔ Strong problem-solving, teamwork, communication, and leadership skills Optional/Preferred Technical Skills Experience with building and deploying language model applications using LangChain.. Proficiency in NLP techniques and tools (e.g., NLTK, Spacy, Hugging Face Transformers). Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Experience with NoSQL databases such as MongoDB or Cassandra. Experience with containerization tools like Docker. Proficiency in version control systems like Git. Experience with multi-agent systems and autonomous agent behaviour design. Soft Skills Strong research and development abilities. Self-driven with a proactive approach to work. Ability to collaborate with stakeholders to understand and deliver on technical requirements. Excellent problem-solving and analytical skills. Effective communication and teamwork abilities. Contact Person: Pooja Kumari: HR Executive Mobile number: 9142955670 Show more Show less