561 Nltk Jobs - Page 21

About the Role: We are seeking a highly motivated and skilled Data Scientist with 25 years of industry experience in Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI (GenAI). The ideal candidate will have a strong foundation in Python programming and a passion for solving complex business problems using data. You will work on designing, developing, and deploying scalable AI solutions for real-world applications across domains. This is a hands-on role requiring technical expertise, experimentation, and collaboration across cross-functional teams. Key Responsibilities: Perform Exploratory Data Analysis (EDA) to uncover patterns, insights, and anomalies. Design, build, and optimize ML and DL models using Python for diverse business use cases. Develop and apply NLP techniques for text analysis and language understanding. Build, fine-tune, and deploy Generative AI solutions (LLMs, VLMs, RAG) tailored to enterprise needs. Create and maintain end-to-end ML pipelines , including data preprocessing, feature engineering, training, evaluation, and deployment. Manage and monitor models in production using MLOps workflows (CI/CD, model tracking, versioning, etc.). Stay updated with recent developments in AI/ML and continuously explore new tools and frameworks. Required Skills & Qualifications: Strong programming proficiency in Python is essential. Experience with Python libraries such as pandas, NumPy, scikit-learn, NLTK, Transformers (Hugging Face), TensorFlow/PyTorch . Solid understanding of machine learning algorithms, statistical modeling, and deep learning concepts. Hands-on experience in Natural Language Processing and Generative AI techniques (e.g., LLMs, RAG, VLMs, Agents). Experience with EDA, data preprocessing , and feature engineering. Familiarity with MLOps tools like MLflow, DVC or similar. Experience with Docker and containerized deployment of ML models. Working knowledge of databases both SQL and NoSQL . Experience deploying ML models in production environments . Familiarity with version control tools (e.g. Git) and collaborative workflows. Exposure to cloud platforms like AWS, GCP, or Azure is a plus.

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: nltk,computer vision,inference optimization,model interpretability,gpt,bert,mlops,artificial intelligence,next.js,tensorflow,ai development,machine learning,generative ai,ml,openai,node.js,kubernetes,large language models (llms),openai apis,natural language processing,machine learning (ml),fastapi,natural language processing (nlp),java,azure,nlp tasks,model compression,embeddings,vector databases,aws,typescript,r,hugging face transformers,google cloud,hugging face,llama,ai tools,mlops tools,rag architectures,langchain,spacy,docker,retrieval-augmented generation (rag),pytorch,gcp,cloud,large language models,react.js,deep learning,python,ai technologies,flask,ci/cd,data privacy,django,quantization,javascript,ethical ai,nlp Show more Show less

In this position, you will be responsible for Natural Language Processing Engineer to help us improve our Artificial Intelligence products and create new NLP applications with hands on NLTK and Spacy will be plus. Must have • Python programming • Deployment of the data science services at a large scale. Exploratory data analysis. • Deep Learning models and its deployments. NLP / NLU or Computer vision. • Mathematics of Machine Learning Statistics and probability. NoSQL and SQL databases. • Version control system. CI/CD pipeline. • Bash Scripting. • Data Structures and algorithms Role Requirements & Responsibilities • Minimum of 7+ years’ experience in Data Science. • Minimum one year of experience as a team lead of Data Scientists • Transforming natural language data into useful features using NLP techniques to feed classification algorithms Who You Are and What Makes You Qualified: • Bachelors / Masters / Ph. D. degree in the field of Data Science / Computer Science / Information technology. • Must have excellent Communication and Soft Skills • You understand the language of business and that technology can solve business problems. • You know that the right technology can empower organizations to work smarter, wherever they are, whenever they want and on the device they choose. • You must be reliable & have good time management skills. Show more Show less

Role: Lead/Manager Overview: We are seeking a visionary and dynamic individual to lead our AI initiatives and data-driven strategies. This role is crucial in shaping the future of our company by leveraging advanced technologies to drive innovation and growth. The ideal candidate will possess a deep understanding of AI, machine learning, and data analytics, along with a proven track record in leadership and strategic execution. Key Responsibilities: Self-Driven Initiative: Take ownership of projects and drive them to successful completion with minimal supervision, demonstrating a proactive and entrepreneurial mindset. Stakeholder Communication: Present insights, findings, and strategic recommendations to senior management and key stakeholders, fostering a data-driven decision-making culture. Executive Collaboration: Report directly to the founders and collaborate with other senior leaders to shape the company's direction and achieve our ambitious goals. Innovation & Problem-Solving: Foster a culture of innovative thinking and creative problem-solving to tackle complex challenges and drive continuous improvement. AI Research & Development: Oversee AI research and development initiatives, ensuring the integration of cutting-edge technologies and methodologies. Data Management: Ensure effective data collection, management, and analysis to support AI-driven decision-making and product development. Required Skills and Qualifications: Bachelor's degree from a Tier 1 institution or an MBA from a recognized institution. Proven experience in a managerial role, preferably in a startup environment. Strong leadership and team management skills. Excellent strategic thinking and problem-solving abilities. Exceptional communication and interpersonal skills. Ability to thrive in a fast-paced, dynamic environment. Entrepreneurial mindset with a passion for innovation and growth. Extensive experience with AI technologies, machine learning, and data analytics. Proficiency in programming languages such as Python, R, or similar. Familiarity with data visualization tools like Tableau, Power BI, or similar. Strong understanding of data governance, privacy, and security best practices. Technical Skills: Machine Learning Frameworks: Expertise in frameworks such as TensorFlow, PyTorch, or Scikit-learn. Data Processing: Proficiency in using tools like Apache Kafka, Apache Flink, or Apache Beam for real-time data processing. Database Management: Experience with SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, or Cassandra. Big Data Technologies: Hands-on experience with Hadoop, Spark, Hive, or similar big data technologies. Cloud Computing: Strong knowledge of cloud services and infrastructure, including AWS (S3, EC2, SageMaker), Google Cloud (BigQuery, Dataflow), or Azure (Data Lake, Machine Learning). DevOps and MLOps: Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and orchestration tools for deploying and managing machine learning models. Data Visualization: Advanced skills in data visualization tools such as Tableau, Power BI, or D3.js to create insightful and interactive dashboards. Natural Language Processing (NLP): Experience with NLP techniques and tools like NLTK, SpaCy, or BERT for text analysis and processing. Large Language Models (LLMs): Proficiency in working with LLMs such as GPT-3, GPT-4, or similar for natural language understanding and generation tasks. Computer Vision: Knowledge of computer vision technologies and libraries such as OpenCV, YOLO, or TensorFlow Object Detection API. Preferred Experience: 5-10 years of relevant experience Proven Track Record: Demonstrated success in scaling businesses or leading teams through significant growth phases, showcasing your ability to drive impactful results. AI Expertise: Deep familiarity with the latest AI tools and technologies, including Generative AI applications, with a passion for staying at the forefront of technological advancements. Startup Savvy: Hands-on experience in early-stage startups, with a proven ability to navigate the Show more Show less

Job Title: AI/ML and Chatbot Lead Experience Level: 10+ Years (Lead/Architect level) Location: Remote Employment Type: Full-time No. of Positions: 1 Job Overview: We are seeking a visionary and hands-on AI/ML and Chatbot Lead to spearhead the design, development, and deployment of enterprise-wide Conversational and Generative AI solutions. This role will establish and scale our AI Lab function, define chatbot and multimodal AI strategies, and deliver intelligent automation solutions that enhance user engagement and operational efficiency. Key Responsibilities Define and lead the enterprise-wide strategy for Conversational AI, Multimodal AI, and Large Language Models (LLMs). Build an AI/Chatbot Lab , creating a roadmap and driving innovations across in-app, generative, and conversational AI. Architect scalable AI/ML systems including presentation, orchestration, AI, and data layers. Collaborate with business stakeholders to assess needs, conduct ROI analyses, and deliver impactful AI use cases. Identify and implement agentic AI capabilities and SaaS optimization opportunities. Deliver POCs, pilots, and MVPs owning the design, development, and deployment lifecycle. Lead, mentor, and scale a high-performing team of AI/ML engineers and chatbot developers . Build multi-turn, memory-aware conversations using frameworks like LangChain or Semantic Kernel . Integrate bots with platforms like Salesforce, NetSuite, Slack , and custom applications via APIs/webhooks. Implement and monitor chatbot KPIs using tools like Kibana , Grafana , and custom dashboards. Champion ethical AI , governance, and data privacy/security best practices. Must-Have Skills 10+ years in AI/ML; demonstrable success in chatbot, conversational AI , and generative AI implementations. Experience building and operationalizing an AI/Chatbot architecture framework used enterprise-wide. Expertise in: Python , LangChain, ElasticSearch, NLP (spaCy, NLTK, Hugging Face) LLMs (e.g., GPT, BERT), RAG, prompt engineering Chatbot platforms (Azure OpenAI, MS Bot Framework), CLU, CQA AI solution deployment and monitoring at scale Familiarity with: Machine learning algorithms, deep learning, reinforcement learning NLP techniques for NLU/NLG Cloud platforms ( AWS, Azure, GCP ), Docker , Kubernetes Vector DBs (Pinecone, Weaviate, Qdrant) Semantic search, knowledge graphs, intelligent document processing Strong grasp of AI governance , documentation, and compliance standards Excellent team leadership, communication, and documentation skills Good-to-Have Skills Experience with Glean , Perplexity.ai , Rasa , XGBoost Familiarity with Salesforce , NetSuite , and business domains like Customer Success Knowledge of RPA tools like UiPath and its AI Center Role & responsibilities Interested candidate can call at 7087707007

Who We Are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What We Offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What You Will Do Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. What You’ll Bring Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like – Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity. Show more Show less

Who We Are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What We Offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What You Will Do Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. What You’ll Bring Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like – Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity. Show more Show less

About The Role This is a unique opportunity to join our fast-growing Global Product Management Data Science team. You will be working with the team managing ‘The Client Experience Digital Platform’ which is the go-to place for all clients to interact with Gartner to get value. Our clients are IT and business leaders around the world. They expect to get help from Gartner on their most critical priorities. The Digital Platform is embedded in their workflows to help them on every step of their journey. Our mission is to deliver tremendous client value by building scalable, intelligent digital products and solutions. We are constantly looking for product management, UX and data science leaders to help us accelerate innovation to disrupt the marketplace and disrupt ourselves. What You Will Do Work on Data science projects in close collaboration with the Data Engineering team, Application development team, Product owners and business leaders to deliver high value business capabilities Solve ‘Search’ value stream problems and help improve Gartner’s client experience in finding the most meaningful and valuable insights Build user query understanding and intent refinement models to refine query to content similarity Build and incorporate LLMs in addition to vector search capabilities Be responsible for high quality data science solutions with respect to accuracy and coverage. Be accountable for solutions’ scalability, stability, and business adoption Responsible for maintaining proper documentation and further code-reusability principles Responsible for ownership of algorithms and its enhancements/optimizations as per business requirement Collaborate with Director, Data Science in long term vision, strategy, and solution roadmap to align with bigger business objectives and mission critical priorities of the organization Responsible to pitch ideas, present solutions and influence senior leaders with strong business value propositions Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions Collaborate with engineering and product teams to launch MVPs and iterate quickly Independently plan and drive data science projects that deliver clear business value What You Will Need 6-8 years hands-on experience building predictive models, search systems, or other machine learning/artificial intelligence applications to drive business impact Bachelor’s degree required while a master’s degree in a quantitative field (math, computer science, engineering, etc.) is strongly preferred Demonstrated ability to translate quantitative analysis into actionable business strategies. Strong communication skills in technical and business domains Working experience in some of the following data science areas: Machine Learning and Predictive modeling Text mining and Natural Language Processing Search or Recommendation systems Data analytics with multi-dimensional data Generative models Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle Practical, intuitive problem solver with a demonstrated ability to translate business objectives into actionable data science tasks and translate quantitative analysis into actionable business strategies Ability to implement latest ML research to improve our current algorithms Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning (e.g., pytorch, tensorflow), statistical packages (e.g., Scipy), SQL/relational databases (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph database), distributed machine learning (spark), Linux and shell scripting Experience with cloud computing services such as AWS or Azure ML Ability to work collaboratively across product, data science and technical stakeholders Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone Bias for action and client outcome oriented Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work . What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com . Job Requisition ID:100434 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. Show more Show less

Experience : 4 – 7 years Location : Pune, India (Work from Office) 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 in embeddings, Retrieval Augmented Generation (RAG), Gen AI Experience with Data Visualization Tools like matplotlib, plotly, seaborn, ggplot, etc. Experience with using cloud technologies on AWS/ Microsoft Azure. Apply for this position Upload Resume* Show more Show less

About the role: This is a unique opportunity to join our fast-growing Global Product Management Data Science team. You will be working with the team managing ‘The Client Experience Digital Platform’ which is the go-to place for all clients to interact with Gartner to get value. Our clients are IT and business leaders around the world. They expect to get help from Gartner on their most critical priorities. The Digital Platform is embedded in their workflows to help them on every step of their journey. Our mission is to deliver tremendous client value by building scalable, intelligent digital products and solutions. We are constantly looking for product management, UX and data science leaders to help us accelerate innovation to disrupt the marketplace and disrupt ourselves. What you will do: Work on Data science projects in close collaboration with the Data Engineering team, Application development team, Product owners and business leaders to deliver high value business capabilities Solve ‘Search’ value stream problems and help improve Gartner’s client experience in finding the most meaningful and valuable insights Build user query understanding and intent refinement models to refine query to content similarity Build and incorporate LLMs in addition to vector search capabilities Be responsible for high quality data science solutions with respect to accuracy and coverage. Be accountable for solutions’ scalability, stability, and business adoption Responsible for maintaining proper documentation and further code-reusability principles Responsible for ownership of algorithms and its enhancements/optimizations as per business requirement Collaborate with Director, Data Science in long term vision, strategy, and solution roadmap to align with bigger business objectives and mission critical priorities of the organization Responsible to pitch ideas, present solutions and influence senior leaders with strong business value propositions Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions Collaborate with engineering and product teams to launch MVPs and iterate quickly Independently plan and drive data science projects that deliver clear business value What you will need: 6-8 years hands-on experience building predictive models, search systems, or other machine learning/artificial intelligence applications to drive business impact Bachelor’s degree required while a master’s degree in a quantitative field (math, computer science, engineering, etc.) is strongly preferred Demonstrated ability to translate quantitative analysis into actionable business strategies. Strong communication skills in technical and business domains Working experience in some of the following data science areas: Machine Learning and Predictive modeling Text mining and Natural Language Processing Search or Recommendation systems Data analytics with multi-dimensional data Generative models Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle Practical, intuitive problem solver with a demonstrated ability to translate business objectives into actionable data science tasks and translate quantitative analysis into actionable business strategies Ability to implement latest ML research to improve our current algorithms Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning (e.g., pytorch, tensorflow), statistical packages (e.g., Scipy), SQL/relational databases (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph database), distributed machine learning (spark), Linux and shell scripting Experience with cloud computing services such as AWS or Azure ML Ability to work collaboratively across product, data science and technical stakeholders Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone Bias for action and client outcome oriented Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:100434 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. Show more Show less

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. Key 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. 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@sourcedeskglobal.com. Include a short note on your most interesting AI project or voicebot/conversational AI experience.

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.