349 Nlp Jobs - Page 11

Job Description Technologies is a leading innovator in the tech industry, dedicated to creating cutting-edge solutions that drive business success Our team is passionate about technology and committed to delivering exceptional products that meet the evolving needs of our clients. We are seeking a creative and experienced Machine Learning Engineer to join our dynamic team The ideal candidate will have a strong background in developing and deploying NLP and computer vision models, deep learning, and API creation You will be responsible for innovating and exploring new models to accomplish complex tasks and improve our product offerings. Design, develop, and deploy machine learning models with a focus on Natural Language Processing (NLP) and Computer Vision. Perform data labelling and preprocessing to prepare datasets for training. Select appropriate deep learning models and algorithms to solve specific problems. Train, fine-tune, and validate models to achieve high accuracy and performance. Build APIs for integrating machine learning models into existing applications. Continuously explore and evaluate new machine learning techniques and models to enhance our capabilities. Collaborate with cross-functional teams to understand business needs and provide AI-driven solutions. Document and present model development processes, results, and insights to stakeholders. Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Proven experience in developing and deploying machine learning models, particularly in NLP and Computer Vision. 3 or 3+ years of experience in Artificial Intelligence and Machine Learning. Proficiency in programming languages such as Python, and experience with machine learning libraries/frameworks like TensorFlow, PyTorch, and scikit-learn. Strong understanding of deep learning techniques and algorithms. Experience with data preprocessing and data labelling. Ability to build and deploy APIs for machine learning models. Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work well in a team environment Experience with cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with big data technologies like Hadoop or Spark. Knowledge of additional programming languages such as R, Java, or C++. Understanding of MLOps and model deployment pipelines.

Role Summary: The B2B SEO Specialist will play a pivotal role in optimizing Aeries online presence for search engines. You will amplify organic traffic, elevate search rankings, generate organic leads and guarantee that Aeries website stands out for prospective clients. Roles & Responsibilities: B2B SEO Strategy: Comprehensive planning, technical audits, on-site optimizations, and link-building specific to B2B. Keyword Research: Identify relevant keywords and search trends and integrate them strategically into website content for improved organic search rankings. On-page SEO: Implement on-site SEO strategies, including meta-data optimization, schema markup, and site speed enhancements. Off-page SEO: Develop a B2B-specific link-building strategy, identify authoritative opportunities, enhance backlink profiles, and monitor for toxic links to maintain link health. Technical SEO: Work closely with developers to ensure proper implementation of technical SEO aspects, such as site speed optimization, mobile responsiveness, schema markup, and AI-generated metadata. Content Optimization: Collaborate with content teams for SEO compliance, conduct keyword research, and recommend website adjustments to enhance SEO rankings. Competitor Analysis: Analyze competitors SEO strategies, identifying opportunities for differentiation and improvement. AI in SEO: Mastery in using AI for image/video optimization, voice search, chatbots, link-building, and strategy creation. Visualization & Reporting: Skilled in presenting SEO data clearly to stakeholders. Local SEO with AI: Familiarity with AI applications for local search optimization, including geo-tagging, local intent optimization, and enhancing local business listings. AI-Driven Strategy: Develop and execute innovative SEO strategies that incorporate AI and machine learning techniques to optimize website content, structure, and user experience. Data Analysis: Monitor and analyze website performance, organic traffic trends, and user behavior, providing actionable insights for continuous improvement. Algorithm Updates: Stay up to date with latest B2B SEO trends and practices, search engine algorithm changes and trends in AI and machine learning in the SEO landscape, adapting strategies as needed. Natural Language Processing (NLP): Apply NLP techniques to enhance on-page SEO elements, including meta descriptions, headers, and other content components. Qualifications: Bachelors degree in marketing, Business, or a related field. 5+ years proven B2B SEO experience, preferably in IT & Services or related roles. Deep knowledge of the B2B digital landscape and audience-specific SEO strategies. Expertise in setting up and using popular SEO tools (e.g., Moz, SEMrush, Google Analytics 4, Google Search Console, Google Tag Manager). Strong understanding of web analytics, A/B testing, and metrics-driven SEO. Excellent communication, analytical, and project management skills. Proficient in HTML, CSS, and other relevant web technologies. The Job responsibilities of the candidate shall include but not limited to the Job Description & to perform any other tasks/functions as required by the Company.

We are seeking a highly skilled and experienced Data Scientist to join our team and contribute to the development of innovative solutions in the mainframe domain. The ideal candidate will have a strong background in data analysis, machine learning, deep learning and GEN AI domain. This role involves leveraging data to derive insights, build predictive & generative models, and enhance our mainframe services. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Build out prototypes using a variety of cutting-edge technologies and tools. Develop quantitative models using a variety of programs/software to support predictive assessments. Support adoption of Artificial Intelligence (AI) and Machine Learning (ML) solutions. Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models & techniques. Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques. Design algorithms that require several different models/methods to be used in an ensemble. Deploy models into production. To ensure youre set up for success, you will bring the following skillset & experience: Proven experience as a Data Scientist with expertise in Machine learning, Deep Learning and MLOps. Hands on experience with Prompt Engineering, RAG, LLM Evaluation and LLM Fine tuning. Familiarity with different LLM Architectures. Strong programming skills in languages such as Python. Strong knowledge of statistical analysis, data mining, and machine learning techniques. Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch). Proficiency in data visualization tools (e.g., Tableau, Kibana) and experience with dashboard creation. Knowledge of SQL for data manipulation Excellent communication skills: demonstrated ability to explain complex technical concepts to both technical and non-technical audiences. Work on complex problems where analysis of situations or data requires an in-depth evaluation of several factors. Self-learner, flexible and able to work in a multi-tasked and dynamic environment. Collaborate with domain experts to understand business requirements and formulate data-driven solutions. Implement strategies for model optimization, taking into account the constraints and requirements of mainframe environments. Whilst these are nice to have, our team can help you develop in the following skills: Bachelors degree in computer science, Engineering, or a related field with 8 years of Data Science, or a related field experience. Hands on experience with Prompt Engineering, RAG, LLM Evaluation and LLM Fine tuning Solid understanding in NLP concepts and familiarity with NLP libraries. Familiarity in writing Python backend APIs using Fast API, Flask or other frameworks. Knowledge of fine tuning LLMs including Llama, BERT and GPT based. Self-starter and intellectual curiosity Great communication skills, ability to explain predictive analytics to non-technical audience. Familiarity with machine learning frameworks and libraries. Proficiency in data exploration techniques and tools Familiarity with observability tools and practices. Familiarity with cloud platforms (e.g., OCP, AWS, Azure, GCP). Knowledge of statistical analysis, hypothesis testing, and data visualization techniques. Experience with Agile methodology, use of Atlassian products Jira, Confluence. Worked on multiple Gen AI projects and delivered them E2E successfully. Knowledge of forecasting and predictive modeling. Any Azure or AWS Cloud certification Experience with big data technologies (e.g., Hadoop, Spark). Familiarization with DevOps tools and concepts such as Infrastructure as code, Jenkins, Ansible, and Terraform. Mainframe knowledge is a plus.

We're hiring a Head of Engineering at Zonka Feedback . Own the Stack, Scale AI, Lead the Vision!! Company Profile: Zonka Feedback is a powerful, AI-driven customer experience (CX) and feedback platform that helps businesses capture feedback, measure, and improve customer satisfaction across various touchpoints, and drive strategic growth. With seamless integrations into major CRMs like Salesforce and HubSpot, Zonka Feedback empowers brands worldwide to listen to customer voices and make data-driven decisions through multi-channel feedback collection, advanced reporting, and AI insights. Get to know more about us at www.zonkafeedback.com We're building an AI-first SaaS platform that's redefining how feedback systems work and combines: Smart prompting and automation Seamless ML model integration and fine-tuning Rich analytics and actionable insights Scalable infra to handle millions of requests and third-party integrations Agentic, autonomous workflows Job Role: We are looking for a dynamic Head of Engineering to architect and build scalable, AI-powered systems using modern technologies including Node.js, Python, React, AWS, and Serverless frameworks. In this role, you will play a critical part in shaping our core product by integrating advanced AI/ML models and developing intelligent automation workflows. As a key technical leader, you will guide a lean team of engineers, drive high-impact architectural decisions, and ensure the reliability, security, and performance of our systems. Ideal candidates have 7 to 15+ years of software development experience, with deep expertise in full-stack development, cloud architecture, and AI/ML integration. They have a proven track record of leading teams in fast-paced SaaS or startup environments, along with hands-on experience working with large-scale datasets, vector databases, and advanced NLP and LLM technologies . Key Responsibilities: Drive the engineering vision and execution for Zonkas AI-first customer experience platform Build and integrate ML/NLP systems, including LLMs and vector databases Architect and develop scalable systems using Node.js, Python, React, AWS, and Serverless Design and implement AI-powered workflows and automation pipelines Optimize infrastructure, DevOps, CI/CD , monitoring, and cost efficiency Lead and mentor a lean team of engineers; drive hiring and performance Collaborate with product and design teams to execute the product roadmap Maintain high code quality, system reliability, and security Leverage modern tools like GitHub Copilot, WindSurfer, and Cursor to drive productivity Requirements: 7 - 15 years of hands-on software development including full-stack development and system architecture Strong background in NLP, ML, and deploying LLM-based solutions in production environments Skilled in prompt engineering and RAG architecture Experience working with large datasets, ElasticSearch, and vector databases Strong expertise in Node.js, Python, AWS, React and scalable systems architecture Prior experience building and leading engineering teams in SaaS or startup environments Ability to balance leadership, architecture, and hands-on coding Familiarity with DevOps, CI/CD, infrastructure monitoring, and security best practices Excellent problem-solving, communication, and team-building skills If this sounds like you, we are here to have the next talk. Share your resume on hr@zonkafeedback.com

Key Responsibilities : - Design, develop, and deploy AI/ML models for data-driven applications. - Work with Neo4j (Graph Database) to model and analyze complex relationships in datasets. - Implement machine learning algorithms for recommendation systems, predictive analytics, and knowledge graphs. - Develop and optimize graph-based data pipelines and algorithms using Neo4j Cypher queries. - Process, clean, and analyze large datasets for feature engineering and model training. - Integrate ML models into scalable applications using Python, TensorFlow, PyTorch, or Scikit-learn. - Optimize model performance, accuracy, and scalability for production deployment. - Collaborate with data scientists, backend engineers, and product teams to enhance AI capabilities. Required Skills : - Machine Learning & Deep Learning : Hands-on with ML models, classification, clustering, NLP. - Neo4j & Graph Databases : Experience in graph data modeling, Cypher queries, and data relationships. - Programming : Proficiency in Python, TensorFlow, PyTorch, Scikit-learn. - Data Engineering : Experience with ETL pipelines, data preprocessing, and feature engineering. - Big Data & Cloud : Exposure to Spark, Kafka, AWS/GCP/Azure (Good to have). - MLOps & Deployment : Working knowledge of Docker, Kubernetes, CI/CD pipelines. - Strong Analytical & Problem-Solving Skills for AI-driven applications. Good to Have : - Experience with Graph Neural Networks (GNNs) and Graph Data Science. - Knowledge of NLP, Computer Vision, or Time-Series Analysis. - Exposure to automated ML pipelines and model monitoring.

Artificial Intelligence/Machine Learning Engineer - Neo4j/Deep Learning Role : AI/ML Engineer Location : Bangalore Experience : 3-4 Years Joining : Immediate (Preferred) Key Responsibilities : - Design, develop, and deploy AI/ML models for data-driven applications. - Work with Neo4j (Graph Database) to model and analyze complex relationships in datasets. - Implement machine learning algorithms for recommendation systems, predictive analytics, and knowledge graphs. - Develop and optimize graph-based data pipelines and algorithms using Neo4j Cypher queries. - Process, clean, and analyze large datasets for feature engineering and model training. - Integrate ML models into scalable applications using Python, TensorFlow, PyTorch, or Scikit-learn. - Optimize model performance, accuracy, and scalability for production deployment. - Collaborate with data scientists, backend engineers, and product teams to enhance AI capabilities. Required Skills : - Machine Learning & Deep Learning : Hands-on with ML models, classification, clustering, NLP. - Neo4j & Graph Databases : Experience in graph data modeling, Cypher queries, and data relationships. - Programming : Proficiency in Python, TensorFlow, PyTorch, Scikit-learn. - Data Engineering : Experience with ETL pipelines, data preprocessing, and feature engineering. - Big Data & Cloud : Exposure to Spark, Kafka, AWS/GCP/Azure (Good to have). - MLOps & Deployment : Working knowledge of Docker, Kubernetes, CI/CD pipelines. - Strong Analytical & Problem-Solving Skills for AI-driven applications. Good to Have : - Experience with Graph Neural Networks (GNNs) and Graph Data Science. - Knowledge of NLP, Computer Vision, or Time-Series Analysis. - Exposure to automated ML pipelines and model monitoring.

About Us: We are a fast-growing tech company working on innovative solutions that combine robust backend systems with the power of AI. We're looking for a passionate Python (Django) Developer with a strong foundation in backend development and a working understanding of AI/ML concepts to join our team. Key Responsibilities: Develop, test, and maintain scalable web applications using Python and Django. Design and implement RESTful APIs and backend services. Collaborate with frontend developers, data scientists, and product teams to integrate AI-powered features. Work with databases (PostgreSQL, MySQL) and ensure performance and responsiveness. Write clean, maintainable, and efficient code following best practices. Assist in integrating AI into production environments. Monitor and troubleshoot application issues and ensure system reliability. Stay updated with the latest trends and tools in Python, Django, and AI. Requirements: 13 years of experience in Python development using the Django framework. Strong understanding of Django ORM, views, middleware, and template systems. Good experience with REST API development and third-party integrations. Good to have a familiarity with AI workflows, model deployment, or libraries like scikit-learn, TensorFlow, or PyTorch. Understanding of basic ML concepts such as classification, regression, and NLP. Familiarity with version control (Git) and agile development workflows. Strong problem-solving skills and the ability to work independently or as part of a team.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Role & responsibilities As a Data Scientist specializing in Generative AI and NLP , you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. Model Customization & Fine-Tuning : Apply state-of-the-art techniques like LoRA , PEFT , and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact. Innovative Problem Solving : Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results. Data-Driven Insights : Conduct deep analysis of large datasets, uncovering insights and trends that guide decision-making, improve operational efficiencies, and fuel innovation. Cross-Functional Collaboration : Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications. Client Engagement : Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation. What do we expect? Generative AI & NLP Expertise : Extensive experience in developing and deploying Generative AI applications and NLP frameworks , with hands-on knowledge of LLM fine-tuning , model customization , and AI-powered automation . Hands-On Data Science Experience : 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments. AI Innovation : Deep knowledge of the latest developments in Generative AI and NLP , with a passion for experimenting with cutting-edge research and incorporating it into practical solutions. Problem-Solving Mindset : Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems. Communication Skills : Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

Hi All, Please find the mandatory skills based on the job description for Data Engineer (Grade I & J) , here are the mandatory (essential) skills required: Mandatory Skills Data Infrastructure & Engineering Designing, building, productionizing, and maintaining scalable and reliable data infrastructure and data products. Experience with data modeling, pipeline idempotency, and operational observability. Programming Languages Proficiency in one or more object-oriented programming languages such as: Python Scala Java C# Database Technologies Strong experience with: SQL and NoSQL databases Query structures and design best practices Scalability, readability, and reliability in database design Distributed Systems Experience implementing large-scale distributed systems in collaboration with senior team members. Software Engineering Best Practices Technical design and reviews Unit testing, monitoring, and alerting Code versioning, code reviews, and documentation CI/CD pipeline development and maintenance Security & Compliance Deploying secure and well-tested software and data assets Meeting privacy and compliance requirements Site Reliability Engineering Service reliability, on-call rotations, defining and maintaining SLAs Infrastructure as code and containerized deployments Communication & Collaboration Strong verbal and written communication skills Ability to work in cross-disciplinary teams Mindset & Education Continuous learning and improvement mindset BS degree in Computer Science or related field (or equivalent experience) Thanks & Regards Sushma Patil HR Cordinator sushma.patil@in.experis.com

Walk-in interview only -BLR No virtual Python & libraries scikit-learn, TensorFlow,PyTorch/XGBoost exp in supervised, unsupervised, and deep learning techniques Deployment tools Flask, FastAPI, Docker AWS GCP, Azure &ML,SQL Contact Maya 9880516218

We are looking for a skilled professional with hands-on experience in developing conversational AI solutions, including virtual agents and NLP-based applications. Key Responsibilities: Experience in development of virtual agents (Chatbots, Voicebots) and natural language processing Experience working with one or more AI/NLP platforms Cognigy AI, DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson etc. Knowledge of one or more of the following technologies: Typescript, JavaScript, Node.js Experience in training Chatbots by analyzing historical chat conversations or large amounts of user generated content and process data Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management Good problem-solving ability Qualifications: Experience in building end-to-end pipelines for developing AI-based conversational applications Strong understanding of API integrations, single sign-on (SSO), and token-based authentication Hands-on experience with Postman for API testing, automation, and debugging Knowledge of CI/CD pipelines (ex: Bamboo, Bitbucket) with end-to-end automation Ability to develop unit test cases in line with project-specific standards Proficient in working with HTTP, sockets, REST, and other web services Skilled in extracting keywords and topics from chat logs Preferred Qualifications: Familiarity with Chatbot tool Cognigy AI Experience working on Generative AI and Agentic AI Experience in Typescript, NodeJS Familiarity with Sprinklr Tool.

Job Title: AI/Gen AI Engineer (Python) Location: Bangalore, India(Onsite) Job Description: We are seeking a highly skilled AI/Gen AI Engineer with 7+ years of experience in Python and extensive expertise in AI/Generative AI frameworks. The ideal candidate should have strong proficiency in data manipulation libraries such as Pandas and NumPy, along with hands-on experience in implementing and managing Large Language Models (LLMs). Key Responsibilities: • Develop and maintain AI/Gen AI solutions using Python. • Work with LLMs, ensuring their effective implementation and optimization. • Utilize FastAPI for API development and integration. • Apply software engineering best practices, including version control (Git), CI/CD pipelines, and automated testing. • Implement MLOps and ML engineering strategies to streamline AI model deployment and monitoring. • Leverage DevOps tools such as Docker, Kubernetes, Jenkins, and Terraform for efficient deployment and scaling. • Ensure robust CI/CD practices for AI/ML workflows. Required Skills & Experience: • 7+ years of experience in Python development. • Strong understanding of AI/Gen AI frameworks. • Hands-on experience with LLMs. • Expertise in data manipulation using Pandas and NumPy. • Proficiency in FastAPI for API development. • Strong grasp of software engineering principles, including Git, CI/CD, and automated testing. • Experience in MLOps, ML engineering, and AI model lifecycle management. • Proficiency in DevOps tools such as Docker, Kubernetes, Jenkins, and Terraform., and Swagger is must • Strong understanding of JavaScript programming language • Experience with SQL and NoSQL databases • Experience with RESTful API design and development • Experience with unit testing and test-driven development (Jest) • Excellent problem-solving and debugging skills. • Ability to work independently and as part of a team. • Strong communication and interpersonal skills • Experience with cloud computing platforms such as AWS or Azure • Experience with container orchestration technologies such as Docker and Kubernetes • Experience with continuous integration and continuous delivery (CI/CD) pipelines • Experience with leading and mentoring development teams • Strong knowledge of integration patterns, technologies, and tools • Experience with integration platforms such as MuleSoft, Dell Boomi, or similar. • Experience with API management platforms such as Apisix, Apigee, Kong, or similar. • Experience with cloud-based integration solutions such as AWS, Azure, or similar. • Strong understanding of microservices architecture and RESTful APIs • Experience in designing and implementing complex integration solutions for enterprise-level applications

AI/ML Engineer Work on cutting-edge technologies like Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs) Assist in building intelligent systems for real-world applications Collaborate with data scientists and product teams on end-to-end ML workflows Cloud DevOps Engineer Get hands-on with AWS, Azure, or GCP cloud platforms Automate infrastructure, CI/CD pipelines, monitoring, and deployments Learn Infrastructure as Code (IaC) using tools like Terraform or Cloud Formation Software Engineer (Backend/Frontend) Build scalable applications using Python, Node.js for backend and React.js for frontend Contribute to the full-stack development lifecycle Participate in design, coding, testing, and debugging of software components MLOps Engineer Automate and scale ML workflows from development to production Work with tools like MLflow, Kubeflow, Docker, Kubernetes Ensure reproducibility, monitoring, and performance of ML models in production Data Engineer Develop robust ETL pipelines, data ingestion, and transformation logic Work with databases, data warehouses, and data lakes Handle real-time and batch data workflows using tools like Apache Airflow, Spark, Kafka Eligibility : BE/B.Tech/MCA/MSc 2023 or 2024 pass outs

3+ years of work experience in Python programming for AI/ML, deep learning, and Generative AI model development Proficiency in TensorFlow/PyTorch, Hugging Face Transformers and Langchain libraries Hands-on experience with NLP, LLM prompt design and fine-tuning, embeddings, vector databases and agentic frameworks Strong understanding of ML algorithms, probability and optimization techniques 6+ years of experience in deploying models with Docker, Kubernetes, and cloud services (AWS Bedrock, SageMaker, GCP Vertex AI) through APIs, and using MLOps and CI/CD pipelines Familiarity with retrieval-augmented generation (RAG), cache-augmented generation (CAG), retrieval-integrated generation (RIG), low-rank adaptation (LoRA) fine-tuning Ability to write scalable, production-ready ML code and optimized model inference Experience with developing ML pipelines for text classification, summarization and chat agents Prior experience with SQL and noSQL databases, and Snowflake/Databricks

Play a major role in building products leveraging the latest innovations around LLMs Work closely with teams across ASAPP, including Product, Research and Platform / Infrastructure Keep up with, apply and possibly contribute to the latest innovations from the NLP community that could impact our product Strong architectural skills, with proven experience designing complex software systems Strong engineering skills, with at least an intermediate level skill in Python Demonstrated ability in leading technical teams Experience implementing technical solutions, tackling tough engineering problems to help build our products Experience building and deploying production ML models to solve real-world problems Experience working in Research and/or bringing cutting-edge innovation to production A Masters Degree in a field of science, technology, engineering or math, or equivalent hands-on experience Desire to learn new things, work closely with peers from different teams, and open to teach and learn from others. Location - Pune.

Design, develop, and deploy Generative AI solutions leveraging state-of-the-art AI/ML technologies. Perform fine-tuning of LLM models, RAG implementation, and dataset curation to deliver customized AI use cases. Work with platforms like GCP, AWS, Azure, and private servers/edge devices to create scalable AI systems. Implement AI tools and frameworks, such as NVIDIA libraries, TensorFlow, and PyTorch, to develop advanced solutions. Ensure seamless integration of AI models with business processes, and adhere to best practices in software development methodologies. Demonstrate strong knowledge of NLP, neural networks, and cloud platforms while ensuring robust performance and innovation in Gen AI solutions. Skills : - Gen AI/ML, LLM Fine-Tuning, Cloud Platform Expertise (AWS, Azure, GCP), RAG Implementation, NLP, Python, Neural Networks, Gen AI, Machine Learning, LLM Fine-Tuning, RAG Implementation, TensorFlow, PyTorch, NVIDIA Libraries, Python, NLP, Cloud Platforms (AWS, Azure, GCP), AI Use Case Development, AI Integration, Software Development Methodologies

Python Programming: Proficiency in Python, Working with libraries like TensorFlow, PyTorch,Transformers,NLTK,Pandas,sklearn, and other related libraries used in NLP tasks and fine tuning language models. Experience with building comprehensive python modules for NLP tasks like tokenization, word embeddings,classifications. Evaluating and selecting the open source and/or commercial LLMs suitable for financial lending domains Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

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.

Build and deploy scalable ML models and MLOps pipelines in collaboration with data scientists Required Candidate profile 6–12 yrs in ML development, Python, model tuning, and enterprise AI deployment.

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

Prompt Engineer Experience - 3 to 6 years Location - Chennai Timing - General shift Notice period - Less than 15 days Contract period - 6 months JD: Role Overview: We are looking for a talented and creative Prompt Engineer to join our AI team. In this role, you will design, develop, and refine prompts for large language models (LLMs) to solve business problems, improve product functionality, and optimize user experiences. Your work will directly impact how our products interact with users and leverage cutting-edge AI models. Responsibilities: Design and iterate on effective prompts to drive high-quality responses from LLMs (e.g., GPT-4, Claude, Gemini, etc.). Collaborate with AI researchers, data scientists, and product managers to develop prompt strategies aligned with business goals. Evaluate LLM performance, analyze outputs, and optimize prompts based on performance metrics. Conduct A/B testing of prompts and maintain a library of prompt templates. Stay current on developments in generative AI, NLP, and prompt engineering best practices. Develop documentation, tools, and internal guides to help teams effectively use LLMs. Ensure ethical and responsible use of AI systems, identifying and mitigating model bias or inappropriate outputs. Qualifications: Required: Bachelor's degree in Computer Science, Linguistics, Cognitive Science, or a related field. Strong understanding of LLMs and natural language processing (NLP). Hands-on experience with prompt design for ChatGPT, Claude, Gemini, or similar models. Excellent written communication and analytical skills. Familiarity with programming/scripting (Python preferred) and basic data handling. Preferred: Masters degree or higher in a relevant field. Experience with fine-tuning or RLHF (Reinforcement Learning with Human Feedback). Exposure to prompt chaining, function calling, and multi-model orchestration. Experience using tools such as LangChain, LlamaIndex, or vector databases like Pinecone or Weaviate. Sincerely, Varsha L TS