450 Nlp Jobs - Page 3

Design, develop, and implement ServiceNow Virtual Agent solutions to meet business requirements. Implement Virtual Agent solutions to enhance customer and employee experiences, leveraging ServiceNow's Natural Language Processing (NLP) capabilities.

Scale AI-Driven Operations | Build Intelligent Data Systems | Lead with Innovation Are you a forward-thinking leader passionate about harnessing AI to transform data operations at scale? Do you excel at building structured, high-quality data pipelines that power real-world business decisions? If you're looking to take end-to-end ownership of AI-first data workflows in a global SaaS platform, Tracxn is where your vision becomes impact. Location: Bangalore, India (Work from Office) Job Type: Full-time About Tracxn Tracxn is a leading market intelligence platform tracking over millions of private companies globally across industries. Our clients include Venture Capital firms, Private Equity funds, Investment Banks, and Corporates who rely on us for actionable insights and data. As a tech-first company, we are constantly evolving our capabilities in AI and automation to redefine data quality, scale, and delivery. Role Summary As the Head of Data Production using AI, you will own the strategy, execution, and evolution of Tracxns data production engine, with a sharp focus on AI-driven automation, data accuracy, and scalable delivery. This is a mission-critical leadership role where you'll partner closely with Engineering, Product, and Business teams to design workflows that leverage LLMs, NLP, machine learning, and human-in-the-loop systems to produce high-quality structured private market intelligence. We're looking for someone deeply passionate about AI, obsessed with operational scalability, and excited to lead a high-impact team that blends automation with human judgment. Key Responsibilities 1. AI-Driven Data Strategy & Execution Define and lead the roadmap for AI-enabled data production at Tracxn. Build and optimize workflows that combine LLMs, APIs, scraping, and human supervision to extract, clean, enrich, and validate private company data. Collaborate with the AI/ML and engineering teams to integrate cutting-edge tools and models into production workflows. Maintain a high standard of data accuracy, completeness, and freshness. 2. Process & Workflow Optimization Scale structured data pipelines using automation and data augmentation techniques. Identify bottlenecks and apply AI or RPA-based solutions to increase efficiency. Own the design of SOPs, QA processes, and escalation mechanisms across data production. 3. Team Leadership Lead and mentor large in-house data teams (analysts, reviewers, QA, etc.). Define clear KPIs and performance metrics; ensure accountability through dashboards and regular reviews. 4. Collaboration & Stakeholder Management Act as the voice of Data Production in discussions with Product, Engineering, Customer Success, and Sales teams. Translate market and client needs into scalable data initiatives. Communicate key project updates and performance metrics to senior leadership Qualifications & Skills Education: Bachelors degree in Engineering, Data Science, or a related field. MBA or post-grad in technology/analytics preferred. Experience: 5 - 10 years of experience in operations, data strategy, or AI implementation, preferably in a product/tech/data company. Strong understanding of how LLMs, NLP, scraping, and ML models can be applied to automate data workflows. Proven experience in scaling data teams and building high-accuracy operations. Experience with human-in-the-loop systems, QA automation, and production-scale data delivery Why Join Tracxn? Join one of the most exciting data-tech companies building for the global private markets. Lead a strategic function at the intersection of AI and data. High-impact role with complete ownership and visibility. Transparent, performance-driven culture. Work alongside smart, curious peers solving real-world challenges.

We are hiring for Director Data Scientist for one of our leading client - Sigmoid in Bengaluru. Roles and Responsibilities : • Convert broad vision and concepts into a structured data science roadmap, and guide a team to successfully execute on it. • Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a combination of hands-on contribution, technical team management, and client interaction. • Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights • Contribute to internal product development initiatives related to data science. • Drive excellent project management required to deliver complex projects, including effort/time estimation. • Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy • Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects • Manage the team-members, to ensure that the project plan is being adhered to over the course of the project • Build a trusted advisor relationship with the IT management at clients and internal accounts leadership. Mandated Skills: • A B-Tech/M-Tech/MBA from a top tier Institute preferably in a quantitative subject • 14+ years of hands-on experience in applied Machine Learning, AI and analytics • Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) • Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. • Strong grasp of depth and breadth of machine learning, deep learning, data mining, and statistical concepts and experience in developing models and solutions in these areas • Expertise with client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. Desired Skills: Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems. Comfortable with large scale data processing and distributed computing Providing required inputs to sales, and pre-sales activities A self-starter who can work well with minimal guidance Excellent written and verbal communication skills If interested, kindly share your profile to sukssidha@techtales.in

Job Title Ind & Func AI Value Strategy Consultant S&C GN Management Level: 09 - Consultant Location: All locations Must have skills: ML algorithms, NLP and Predictive Analytics, Conversational Analytics, Python, Cloud Knowledge (Azure/AWS/GCP), Proficiency in BI tools (Power BI/Tableau/ Qlik Sense/ThoughtSpot/Figma etc.). Leverages artificial intelligence and machine learning techniques to enhance BI processes along with consulting experience of AI driven BI Transformations (Defining BI Governance, Operating model, Assessment Framework etc.) Good to have skills: Knowledge of Gen AI Models implementation (Open AI, Mistral, Phi-2, Solar, Claude 3 etc.), Agentic architecture implementation About S&C - Global Network :- Accenture Strategy & Consulting Global shapes our clients future, combining deep business insight with the understanding of how technology will change industry and business models. Our focus on issues related to business intelligence, Analytics and data insights using AI & GEN AI strategy and solutions. Today, digital is changing the way organizations engage with their employees, business partners, customers, and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our S&C Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our S&C Global Network teams complement our in-country teams to deliver innovative expertise and measurable value to clients all around the world. WHATS IN IT FOR YOU Youll be part of a diverse, vibrant, BI Strategy team which has dynamic and innovative group of creating Data and BI Strategy & Consulting professionals. We understand the vision and mission of our customers & help them by developing innovative BI Strategy with value driven use cases, roadmap & technological solutions that drive business growth and innovation. As a key pillar of our organization, the Engineering Products team worked on various fields from BI , Data & AI perspective- BI Strategy, AI Enabled BI Strategy, Data Modelling, Data Architecture, Industry & AI Value strategy etc. that helps our customers in setting up strong data platform foundation & target roadmap to scaling & evolve towards achieving AI/GEN AI & advanced analytics vision to meet the evolving future needs of technology advancement. What you would do in this role Participate in visioning workshop & develop innovative BI Strategy & architecture frameworks tailored to the unique goals and aspirations of our clients, ensuring alignment with their evolving needs and preferences. Conduct comprehensive evaluations of clients' existing processes, technologies, and data ecosystems, uncovering opportunities for AI integration that resonate with Gen AI values and lifestyles. Align with industry & function teams, understand business problems, and translate it to BI , BI Governance , AI enabled BI and Operating Model , Develop target strategy with respect to Business Intelligence, Tools & Technology, BI Operating Model, BI Governance, AI Enabled BI needs along with Key initiatives & roadmap. Propose best suited LLMs (Large Language Model-GPT 3.5, 4, Llama etc.) as per the selection criteria framework & serve as a trusted advisor to our clients, offering expert guidance on AI Enabled BI Propose adoption strategies that resonate with BI and plan persona-based BI strategy for enterprise function. Work closely with cross-functional teams to co-create and implement innovative . He should be able to define personas and persona journey from functional and technical aspects with respect to Business Intelligence Able to architect , delivery and design BI Enabled AI solutions that address the complex challenges faced by customers and businesses. Participate in client engagements with confidence and finesse, overseeing project scope, timelines, and deliverables to ensure seamless execution and maximum impact. Facilitate engaging workshops and training sessions to empower BI Client stakeholders with the knowledge and skills needed to embrace Data driven transformation enabled through AI. Stay abreast of emerging BI , Data and AI analytics trends and technologies, continuously improving internal capabilities and offerings. Participate in BI, AI Enabled BI and Analytics aligned solutions and client demos. Who are we looking for Years of Experience: Candidates should typically have at least 6-9 years of experience in BI strategy, management, or a related field. This experience should include hands-on involvement in developing and implementing BI strategies for clients across various industries. Education: A bachelors or masters degree in computer science, Data Science, Engineering, Statistics, or a related field. Add eligibility: Strong analytical and strategic thinking skills are essential for this role. Candidates should be able to assess clients' business processes, technologies, BI, AI and data infrastructure to find opportunities for BI and AI Enabled BI integration and develop tailored BI strategy frameworks aligned with clients' goals. Displayed expertise in artificial intelligence technologies, including machine learning, natural language processing, computer vision, and deep learning. Candidates should have a solid understanding of AI concepts, algorithms, and their applications in solving real-world business problems. Excellent communication and presentation skills are crucial for effectively articulating complex technical concepts to non-technical stakeholders. Candidates should be able to convey AI strategy recommendations in a clear, concise, and compelling manner. Knowledge of cloud computing services (AWS, Azure, GCP) related to scaled AI and data analytics solutions. The ability to collaborate effectively with cross-functional teams is essential for this role. Candidates should be comfortable working with diverse teams to design and execute AI solutions that address clients' business challenges and deliver measurable results. Candidates should have a strong understanding of Gen AI preferences, behaviors, and values. Candidate should have understanding & working knowledge of various large language models to propose and implement best suited LLMs to our customer based on AI strategies that resonate with Gen AI Working experience with machine learning algorithms and statistical modeling techniques. Knowledge on MLOPs tools and services from strategic mindset will be a plus. Desired experience. Minimum 6 years of experience working with clients in the products industry (Lifesciences, CPG, Industry & Ret that are heavily influenced by AI & Gen AI preferences and behaviors, is highly valued. Candidates who have a deep understanding of AI & Gen AI trends and market dynamics can provide valuable insights and strategic guidance to clients. Minimum 5 years proven experience & deep expertise in developing and implementing AI strategy frameworks tailored to the specific needs and aims of clients within LS, Industry, CPG, and Retail sectors. The ability to craft innovative AI solutions that address industry-specific challenges and drive tangible business outcomes will set you apart. Minimum 6 years strong consulting background with a demonstrated ability to lead client engagements from start to completion. Consulting experience should encompass stakeholder management and effective communication to ensure successful project delivery. Minimum 4 years strong working experience AI implementation lifecycle & working knowledge in the AI and Analytics lifecycle, including problem definition, data preparation, model building, validation, deployment, and monitoring. Tools & Techniques Knowledge of UI/UX design using React, Angular & Visualization tools-Power BI/Tableau/Qlik Sense Knowledge on Cloud and native services around AI & GEN AI implementation-AWS/Azure/ GCP Have worked hands on Programming languages such as Python, R, SQL or Scala. Working knowledge AI and analytics platforms and tools, such as TensorFlow, PyTorch, KNIME, or similar technologies Working Knowledge on NLP (Natural Language Processing) techniques-text summarizer, text classification, Named Entity Recognition etc. Working Knowledge on various machine learning models-Supervised unsupervised, classification, regression model, Reinforcement learning, Neural networks etc., Knowledge on LLMs-Open AIGPT, Llama Index etc. Knowledge of ML Ops deployment, process tools & strategy (ML Flow, AWS Sage maker etc. Qualification Experience: Minimum 4 year(s) of experience is required Educational Qualification: B.Tech/BE

Very Urgent: AI Specialist Company: AurumData Solutions Location: Hyderabad Experience: 5-10Years Work type: Work From Office AI Specialist Job Description: We are seeking an experienced AI Specialist to develop, implement, and optimize artificial intelligence (AI) and machine learning (ML) models. The ideal candidate will have a strong background in AI, deep learning, natural language processing (NLP), and data science. This role involves collaborating with cross-functional teams to integrate AI-driven solutions into business processes, enhancing efficiency, automation, and decision-making. Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Implement machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Work with large datasets to extract insights and build predictive models. Develop AI-powered applications, including chatbots, recommendation systems, and computer vision solutions. Collaborate with data scientists, engineers, and business analysts to align AI solutions with business needs. Optimize AI models for performance, scalability, and accuracy. Conduct research on emerging AI technologies and recommend their adoption. Ensure AI solutions comply with ethical AI principles, privacy regulations, and security guidelines. Use cloud platforms (AWS, GCP, or Azure) to deploy and manage AI models. Continuously monitor and improve AI models based on real-world feedback and data. Required Skills & Qualifications Bachelor's or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field. 5+ years of experience in AI/ML development and deployment. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs). Experience with NLP, speech recognition, or computer vision. Knowledge of cloud-based AI services (AWS SageMaker, GCP AI, Azure ML). Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent communication skills to convey AI concepts to non-technical stakeholders. Preferred Qualifications AI certifications (Google Professional ML Engineer, AWS Certified ML Specialist, etc.). Experience in AI-driven automation and decision intelligence. Knowledge of edge AI and federated learning techniques. If you are interested, kindly send your CVs to Madhavi@aurumdatasolutions.com

Required Skills & Qualifications: 4 to 12 years of experience in Data Science, Machine Learning, or AI. Proficiency in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch . Experience with ML lifecycle tools such as MLflow, Airflow, or SageMaker. Solid understanding of statistics, probability, and linear algebra . Experience working with structured and unstructured data (SQL, NoSQL, text, images, etc.). Familiarity with cloud platforms like AWS, Azure, or GCP. Strong problem-solving and analytical thinking skills.

About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Design, develop and deploy machine learning models,algorithms and systems to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas Theoretical understanding and practise of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Support the team in maintaining machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Participate in monitoring the performance of machine learning models, gaining experience in using statistical methods for evaluation. Working with the Data Platforms teams for understanding and collecting the data. Conduct performance testing, troubleshooting and tuning as required. Stay current with the latest research and technology and communicate your knowledge throughout the enterprise. Qualifications & Experience Master s/PhD in Computer Science, Mathematics, Statistics/related fields or 1+ years of relevant industry experience with a Bachelor s degree. Proficiency in Python or one other high-level programming language. Theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, etc. Strong written and verbal communication skills Intellectual curiosity and enthusiastic about continuous learning Experience developing machine learning models in Python, or equivalent programming language. Basic familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. Introductory understanding of statistics as it applies to machine learning. Ability to manage and prioritize your workload and support his/her manager. Experience with SQL and/or NoSQL databases. If you are an exceptional candidate, write in. We are happy to hire you even if you don't have the certified qualifications. Nice to Have: Publications or presentations in recognized Machine Learning and Data Science journals/conferences. Experience with ML orchestration tools (Airflow, Kubeflow or MLFlow) Exposure to GenAI models.

Develop and maintain Python-based applications with a focus on AI, NLP, and LLM integration . Experience in coding with Generative AI and PYTHON. Strong proficiency in Python and experience with AI frameworks (e.g., TensorFlow, PyTorch). Hands-on experience with NLP tools and libraries (e.g., SpaCy, NLTK, Hugging Face Transformers). Familiarity with building, fine-tuning, and deploying LLMs . Experience in developing conversational agents or chatbots. Knowledge of REST APIs and system integration. Understanding of cloud platforms like AWS, Azure, or GCP for deploying AI solutions .

Required Skills (Technical):- Advanced knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like TensorFlow, Theano, Keras, Pytorch. Knowledge of work with Pyspark is a must. (Working with Azure Databricks platform is preferred) Advanced knowledge in handling Time Series Data and modelling it with time series algorithms. Knowledge of working with Geospatial data would be preferable. Proficiency with modern statistical modelling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies. Build complex predictive models using ML and DL techniques with production quality code and jointly own complex data science workflows with the Data Engineering team. Familiar with modern data analytics architecture and data engineering technologies (SQL and No-SQL databases). Knowledge of REST APIs and Web Services 6. Experience with Python, R, sh/bash Required Skills (Non-Technical):- Fluent in English Communication (Spoken and verbal) Should be a team player Should have a learning aptitude Detail-oriented, analytically. Extremely organized with strong time-management skills Problem Solving & Critical Thinking Require Work Location :Remote , hyderabad,ahmedabad,pune,chennai,kolkata. Work Timing : 2:30 PM to 11:30 PM IST

About the Role: We are seeking a highly experienced and visionary AI Senior Technical Lead to drive the technical direction and execution of our AI initiatives. This role is pivotal in shaping our AI strategy, leading a team of talented AI engineers, and ensuring the delivery of innovative and impactful AI solutions. As a technical leader, you will be responsible for defining architectural vision, driving best practices, and fostering a culture of technical excellence across diverse AI domains. Responsibilities: Technical Leadership & Strategy: Define and communicate the technical vision and strategy for AI projects. Lead the architectural design and implementation of complex AI systems. Evaluate and recommend emerging AI technologies and methodologies. Drive the adoption of best practices for AI development, deployment, and maintenance. Contribute to the strategic planning of AI initiatives, aligning them with business goals. Team Leadership & Mentorship: Lead and mentor a team of AI engineers, providing technical guidance and support. Foster a collaborative and innovative team environment. Conduct code reviews and ensure code quality. Identify and address skill gaps within the team. Facilitate knowledge sharing and continuous learning. AI System Development & Implementation: Oversee the development and deployment of scalable and robust AI solutions. Ensure the performance, reliability, and security of AI systems. Drive the development of AI pipelines and infrastructure. Lead the integration of AI models with existing systems and applications. Troubleshoot and resolve complex technical issues. Research & Innovation: Stay abreast of the latest advancements in AI and machine learning. Identify opportunities to apply AI to solve complex business challenges, including opportunities within Generative AI. Drive research and development efforts to explore new AI technologies. Evaluate and prototype new AI solutions. Collaboration & Communication: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Communicate complex technical concepts to both technical and non-technical audiences. Provide technical presentations and demonstrations. Document technical designs, code, and processes. Required Skills and Qualifications: Education: Batchelors or Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: 8+ years of experience in AI/ML development, with a proven track record of leading complex AI projects. Extensive experience in designing and implementing scalable AI systems. Proven experience in leading and mentoring technical teams. Deep understanding of machine learning and deep learning algorithms and architectures. Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Technical Skills: Expertise in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of AI infrastructure and deployment strategies. Experience with MLOps best practices. Experience with vector databases, and LLM implementations. Proficiency in software development principles and best practices. Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Soft Skills: Exceptional leadership and communication skills. Strong problem-solving and analytical skills. Ability to think strategically and drive innovation. Excellent interpersonal and collaboration skills. Strong presentation skills. Preferred Qualifications: Experience with Generative AI technologies and methodologies (e.g., GANs, Diffusion Models, Transformers for generation). Experience with natural language processing (NLP) or computer vision. Contributions to open-source AI projects. Experience with distributed systems and big data technologies. Experience with prompt engineering.

About Capability Network: Accenture Strategy shapes our clients' future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, every business is a digital business. Digital is changing the way organizations engage with their employees, business partners, customers and communities how they manufacture and deliver products and services, and how they run their organizations. This is our unique differentiator. We seek people who recognize and understand the impact that digital and technology have on every industry and every sector, and share our passion to shape unique strategies that allow our clients to succeed in this environment. To bring this global perspective to our clients, Accenture Strategys services include those provided by our Capability Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Approximately 3,000 consultants are part of this rapidly expanding network, providing specialized and strategic industry and functional consulting expertise from key locations around the world. Our Capability Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. For more information visit . Capability Network Videos: Video title External link Accenture Capability Network Accenture in One Word MBA Careers:What makes Accenture different Accenture Inclusion & The Power of Diversity https://www.youtube.com/watch?v=2g88Ju6nkcg Practice Overview: Skill/Operating Group Technology Consulting Level Manager Location Gurgaon/Mumbai/Bangalore/Hyderabad/Chennai/Kolkata Travel Percentage Expected Travel could be anywhere between 0-100% Why Technology Consulting The Technology Consulting business within Capability Network invents the future for clients by providing them with the right guidance, design thinking and innovative solutions for technological transformation. As technology rapidly evolves, it's more important than ever to have an innovation advisor who can create a new vision or put one into place to solve the client's toughest business problems. Specialize in management or technology consulting to transform the worlds leading organizations by building innovative business solutions as their trusted advisor by: Helping Clients :Rethinking IT and Digital ecosystems and innovating to help clients keep pace with fast-changing, customer-driven environments. Enhancing your Skillset :Building expertise and innovating with leading-edge technologies such as Blockchain, Artificial Intelligence and Cloud. Transforming Businesses :Developing customized, next-generation products and services that help clients shift to new business models designed for todays connected landscape of disruptive technologies Principal Duties And Responsibilities: Working closely with our clients, consulting professionals design, architect, build and implement strategies, POC that can help enhance business performance. Develop specialized expertise"strategic, industry, functional, technical"in a diverse project environment that offers multiple opportunities for career growth. The opportunities to make a difference within exciting client initiatives are limitless in this ever-changing business landscape. Here are just a few of your day-to-day responsibilities. Identifying, Assessing and solving complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Understand client's business and IT goals, vision and identify opportunities for reinvestment Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current & recommend AI solutions Conduct discovery workshops and design sessions to elicit AI opportunities & client pain areas. Technical SME to design & guide development of Enterprise wide AI architecture & strategy Managing multi-disciplinary teams to shape, sell, communicate and implement programs Contribute towards practice development initiatives like new offering development, people management etc Mentoring and People skill development Qualifications Qualifications: MBA Degree from Tier-1 College (Preferable) Bachelors Degree AI/ML/Cloud AI Certifications preferred Minimum of 10-15 years large scale consulting experience and managing teams in a consulting environment or at high tech companies Experience: We are looking for Advanced Analytics and AI Managers to join our growing team having experience with Machine learning and NLP applications. Operating across all stages of the innovation spectrum, with a remit to build the future in real-time. Experience in designing and building end-to-end AI Strategy & solutions using Cloud & Non-Cloud AI ML, NLP algo. Assessment: Works as part of multi-disciplinary teams and responsible for independently driving specific AI workstreams through collaboration with designers, other AI team members, platform & Data engineers, business subject matter experts and technology delivery teams to assess AI potential and develop use cases. Liaises effectively with global community and senior leadership to identify and drive value opportunities around AI, support investments in POCs, pilots and chargeable projects. Design: The Managers role on these projects centers around independently executing workstreams around the application of analytics, data science and advanced cognitive methods to derive insights & actions from data and develop POCs and appropriate high-level scalable solution designs. Strong expertise in designing AutoML, MLOps AI solutions using any of the Cloud services (AWS, GCP, Azure). Architecture: The nature of these projects change as ideas and concepts mature, ranging from research, proofs-of-concept and the art-of-the-possible to the delivery of real-world applications for our clients. Focus in this area is on the impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Expertise in designing Enterprise AI strategy, Responsible AI frameworks is preferred. Strong experience handling multiple end-to-end AI Lifecycle projects from Data preparation, Modeling, Build, Train & Deploy. Product/ Framework/ Tool evaluation: Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Evaluate existing products and frameworks available and develop options for proposed solutions. Have an understanding of the framework/ tools to engage the client in meaningful discussions and steer towards the right recommendation. Modeling: Strong SME knowledge in Data Preparation, Feature engineering, Feature selection, Training datasets, Algorithmic selection, Optimizing & Production deployment. Work as a technical SME to teams and client on advising right AI solutions. The Manager should have practical industry expertise. The areas of Financial Services, Retail, Telecommunications, Life Sciences and Resources are of interest but experience in equivalent domains is also welcomed. Consultants should understand the key technology trends in their domain and the related business implications. Key Competencies and Skills: Strong desire to work in technology-driven business transformation Strong knowledge of technology trends across IT and digital and how they can be applied to companies to address real world problems and opportunities. Exceptional interpersonal and presentation skills - ability to convey technology and business value propositions to senior stakeholders Team oriented and collaborative working style, both with clients and those within the organization. Capacity to develop high impact thought leadership that articulates a forward thinking view of the market. Ability to develop and maintain strong internal and client relationships Proven track record in working creatively and analytically in a problem-solving environment Proven success in contributing to a team-oriented environment with effective consulting skills Proven track record to quickly understand the key value drivers of a business, how they impact the scope and approach of the engagement Flexibility to accommodate client travel requirements Technical Skills Good exposure to AI/NLP/ML algorithms and building models/chatbots/solutions. Expert in developing AI solutions using Cloud AI services (AWS, GCP, Azure). Strong understanding of entire ML project lifecycle from business issue identification, data audit to model maintenance in production Experience in conducting client workshops and AI use-case development & prioritization Strong knowledge on AI frameworks & algorithms Strong & relevant experience in end-to-end AI lifecycle from Data capture, Data preparation, Model planning, Model selection, Model build, train & test & Model Deployment Expert in designing AI pipelines, Feature engg, Feature selection, Labeling, Training & Optimizing models Good understanding on Scaling/Industrializing AI, Enterprise AI, Lean AI concepts, frameworks & tools Familiarity with some distributed storage frameworks and architectures Machine Learning Language:Python/Scala/R/SAS knowledge Virtual Agents NLU, NLG, Text to speech ML Libraries SciKit learn, Stanford, NLTK, Numpy, PyTorch etc Familiarity with cloud AI and Data offerings Database:HDFS, NoSQL, In-memory (Spark), Neo4j Experience with any of the platforms like IBM Watson, Microsoft ML, Google Cloud AI or AWS ML Additional Information: Flexibility to accommodate client travel requirements Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Role : Senior ML Engineer Location : Bangalore, Pune Experience : 4 - 7 Yrs Employment Type : Full Time, Permanent Working mode : Regular Notice Period : Immediate - 15 Days About the Role : We are seeking a highly skilled Senior Data Scientist to join our team and contribute to cutting-edge projects. As a key member of our data science team, you will leverage your expertise in machine learning, natural language processing, and data engineering to develop innovative solutions that drive business value. Responsibilities : - Machine Learning Model Development : Design, develop, and deploy advanced machine learning models, focusing on natural language processing tasks such as text classification, sentiment analysis, and language generation. - Data Engineering : Extract, transform, and load (ETL) data from various sources, ensuring data quality and consistency. - NLP Techniques : Apply state-of-the-art NLP techniques, including language models and text processing, to solve complex problems. - Python and ML Frameworks : Utilize Python programming language and popular ML frameworks like PyTorch or TensorFlow to build efficient and scalable models. - Cloud and Containerization : Leverage cloud platforms (GCP, AWS) and containerization technologies (Docker) for efficient deployment and management of ML models. - Database Management : Work with relational databases (Postgres, MySQL) to store, manage, and query large datasets. - Knowledge Graphs and ML Publications : Contribute to the development of knowledge graphs and stay updated with the latest advancements in the field through research and publications. Qualifications : Experience : 4-7 years of hands-on experience in data science, with a strong focus on machine learning and natural language processing. Technical Skills : - Proficiency in Python programming language. - Deep understanding of machine learning algorithms and techniques. - Expertise in NLP, including language models and text processing. - Familiarity with ML frameworks like PyTorch or TensorFlow. - Experience with cloud platforms (GCP, AWS) and containerization (Docker). - Knowledge of relational databases (Postgres, MySQL). Soft Skills : - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work independently and as part of a team. Benefits : - Competitive salary and benefits package. - Opportunities for professional growth and development. - Collaborative and supportive work environment.

Requirements: Must have experience as a Data Scientist or transitioned from Data Engineer Proficient in AWS Expertise in ML Model Design & Development Strong Feature Engineering experience Good to Have: NLP, GraphQL / Graph ML, Generative AI Education: B.Tech / M.Tech in Computer Science, IT, or ECE Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Notice Period : Immediate - 15 Days About the Role : We are seeking a highly skilled Senior Data Scientist to join our team and contribute to cutting-edge projects. As a key member of our data science team, you will leverage your expertise in machine learning, natural language processing, and data engineering to develop innovative solutions that drive business value. Responsibilities : - Machine Learning Model Development : Design, develop, and deploy advanced machine learning models, focusing on natural language processing tasks such as text classification, sentiment analysis, and language generation. - Data Engineering : Extract, transform, and load (ETL) data from various sources, ensuring data quality and consistency. - NLP Techniques : Apply state-of-the-art NLP techniques, including language models and text processing, to solve complex problems. - Python and ML Frameworks : Utilize Python programming language and popular ML frameworks like PyTorch or TensorFlow to build efficient and scalable models. - Cloud and Containerization : Leverage cloud platforms (GCP, AWS) and containerization technologies (Docker) for efficient deployment and management of ML models. - Database Management : Work with relational databases (Postgres, MySQL) to store, manage, and query large datasets. - Knowledge Graphs and ML Publications : Contribute to the development of knowledge graphs and stay updated with the latest advancements in the field through research and publications. Qualifications : Experience : 4-7 years of hands-on experience in data science, with a strong focus on machine learning and natural language processing. Technical Skills : - Proficiency in Python programming language. - Deep understanding of machine learning algorithms and techniques. - Expertise in NLP, including language models and text processing. - Familiarity with ML frameworks like PyTorch or TensorFlow. - Experience with cloud platforms (GCP, AWS) and containerization (Docker). - Knowledge of relational databases (Postgres, MySQL). Soft Skills : - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work independently and as part of a team.

Experience: 35 years (DS) / 58 years (Sr DS) Positions: 3 (2 DS + 1 Sr DS) Target Profiles: 1215 Client: EY ODC Requirements: Must have experience as a Data Scientist or transitioned from Data Engineer Proficient in AWS Expertise in ML Model Design & Development Strong Feature Engineering experience Good to Have: NLP, GraphQL / Graph ML, Generative AI Education: B.Tech / M.Tech in Computer Science, IT, or ECE Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Roles and Responsibilities : Lead a team of data scientists to design, develop, and deploy machine learning models using Python and natural language processing techniques. Collaborate with cross-functional teams to identify business problems that can be solved through data analysis and modeling. Develop and maintain complex algorithms for text classification, sentiment analysis, and topic modeling. Ensure high-quality deliverables by reviewing code reviews, providing feedback on technical designs, and mentoring junior team members. Job Requirements : 7-13 years of experience in machine learning or related field (data science). Strong proficiency in Python programming language with expertise in libraries such as scikit-learn, TensorFlow, or PyTorch. Experience with natural language processing techniques including text preprocessing, feature extraction, and model evaluation metrics.

Experience: 3--5 years (DS) / 5--8 years (Sr DS) Positions: 3 (2 DS + 1 Sr DS) Target Profiles: 12--15 Requirements: Must have experience as a Data Scientist or transitioned from Data Engineer Proficient in AWS Expertise in ML Model Design & Development Strong Feature Engineering experience Good to Have: NLP, GraphQL / Graph ML, Generative AI, D365 CRM Integrations Specialist Azure Logic Apps, Power Automate, and Azure Service Bus. Education: B.Tech / M.Tech in Computer Science, IT, or ECE Location : - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,Remote

Desirable Candidate We are looking for a highly experienced NLP Analyst with deep expertise in linguistic data analysis, annotation design, and production-scale NLP model evaluation. This role requires a blend of linguistic acumen, analytical rigor, and real-world application experience. You will drive the design and execution of NLP initiatives across diverse domains and guide cross-functional teams on best practices in language data handling and annotation quality. Key Responsibilities Manage large-scale text annotation and labeling pipelines for supervised and semi-supervised learning. Conduct advanced linguistic analysis of unstructured content (e.g., clinical notes, legal contracts, customer communications, claim documents) to identify patterns, gaps, and modeling opportunities. Define and enforce annotation schemas and QA protocols for complex NLP tasks (e.g., NER, relation extraction, coreference resolution, sentiment/intent classification). Evaluate and improve the performance of NLP models through rigorous error analysis and metric-driven feedback loops. Collaborate with ML/NLP engineers, data scientists, and domain experts to build robust NLP pipelines that scale across use cases. Lead internal research efforts on emerging NLP methodologies, including LLM prompt engineering, hybrid rule-learning approaches, and few-shot learning. Provide mentorship to junior analysts and contribute to developing internal NLP knowledge repositories and annotation standards. Required Qualifications Masters in computational Linguistics, NLP, Data Science, Computer Science, or a related field. 5+ years of professional experience in NLP, with a strong track record of hands-on work in data annotation, language model evaluation, and NLP pipeline development. Expertise in Python and key NLP libraries (spaCy, NLTK, Scikit-learn, Hugging Face Transformers, etc.). Advanced proficiency in building and managing annotation workflows using tools like Prodigy, doccano, Brat, or in-house platforms. Deep understanding of linguistic structures (syntax, semantics, pragmatics) and their application to real-world NLP challenges. Experience evaluating ML/NLP models using metrics like F1, ROUGE, BLEU, precision/recall, and embedding-based similarity. Solid grasp of vectorization methods (TF-IDF, embeddings, transformer-based encodings) and modern language models (e.g., BERT, GPT, LLaMA). Preferred Qualifications Experience with domain-specific NLP (e.g., clinical/biomedical, legal, fintech). Knowledge of knowledge graph construction, relation extraction, and entity linking. Experience integrating structured/unstructured data for downstream AI/ML applications. Familiarity with prompt engineering for LLMs and tuning foundation models. Strong data querying and visualization skills (SQL, pandas, seaborn, Power BI/Tableau).

Salary : 15 to 30 LPA Exp: 3 to 6 years Location :Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and GEN AI Interact with the client to understand their requirements and communicate / brainstorm solutions. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Text classification using any of the following : decision trees, knn classification, support vector machines or LDA Exp on SQL would be a plus

At Xerago, we believe in empowering individuals to script their own success stories as an AI Engineer. You will design, develop, and maintain sophisticated AI solutions, driving our application-engineering department forward with your proficiency in AI, ML, and Python. Your impact on organizational growth comes from successful deployment of AI solutions, accurate machine learning models, and efficient data processing. Collaborate with cross-functional teams to achieve project goals, while mentoring junior engineers when required. Technical Responsibilities: - Design, develop, and maintain sophisticated AI solutions within the application-engineering department using Python, AI, ML, LLM, and data mining. - Implement predictive modeling and machine learning algorithms to drive business impact, with a focus on efficiency and accuracy of data processing. - Leverage expertise in big data frameworks such as Hadoop and Spark for large-scale data analysis and processing tasks. - Collaborate with cross-functional teams to integrate AI solutions into existing systems, ensuring compatibility and seamless integration. Additional Technical Expectations: - Pursue relevant certifications such as TensorFlow Developer, AWS Certified Machine Learning Specialty, or equivalent credentials to stay updated on industry trends and best practices. - Demonstrate a commitment to producing high-quality work that exceeds client expectations, contributing to Xerago's reputation for innovation. Leadership Scope (not applicable for this role): - Managerial responsibilities are minimal in this role; however, the AI Engineer may be required to mentor junior engineers when necessary. - The ideal candidate should possess strong problem-solving skills, an ability to communicate complex technical concepts effectively, and a willingness to share knowledge within their team. Qualification: 1. Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a strong focus on AI and machine learning. 2. Strong expertise in Python, particularly in deep learning libraries such as TensorFlow and PyTorch (MUST Note: For fresher suggest Proficiency, for Experience show Strong Expertise). 3. Good to have knowledge in Natural Language Processing (NLP) and Robotics, specifically ROS (Robot Operating System). 4. AWS Certified Machine Learning Specialty (Good to have) 5. TensorFlow Developer (Good to have) 6. Strong communication, teamwork, adaptability, problem-solving, and mentoring abilities

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Walkin Interview Only NO virtual please Job Title: AI/ML Intern Location: Bangalore Key Responsibilities: Assist in building and training machine learning models for classification, regression, clustering, or recommendation systems. Collect, clean, and preprocess data for model development. Research and implement algorithms from academic papers and technical blogs. Help deploy models using frameworks such as Flask, FastAPI, or Streamlit. Collaborate with the engineering and data teams on model evaluation and improvement. Document findings, processes, and results effectively. Desired Skills & Qualifications: Pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, or a related field. Proficiency in Python and common libraries: NumPy , pandas , scikit-learn , matplotlib . Exposure to TensorFlow , PyTorch , or similar deep learning frameworks. Good understanding of ML fundamentals like supervised/unsupervised learning. Strong analytical and problem-solving skills. Familiarity with Jupyter Notebooks or Google Colab. Bonus Skills: Knowledge of NLP , computer vision , or time-series analysis . Experience with model deployment or MLOps tools. Git/GitHub knowledge for version control and collaboration.

The ideal candidate will design, develop, and implement AI-driven solutions that enhance our products and business operations. This role requires a deep understanding of machine learning algorithms, data processing, and deployment practices.

What we are looking for: As a Senior AI/ML Engineer at Meltwater, you'll play a vital role in building cutting-edge social solutions for our global client base within the Explore mission We're seeking a proactive, quick-learning engineer who thrives in a collaborative environment. Meltwater development teams take full ownership of their subsystems and infrastructure, including running on-call rotations With a heavy reliance Software Engineer in AI/ML and Data Science We seek individuals with experience in Cloud infrastructure and containerization, Docker, Azure or AWS is required (Azure is preferred) Data Preparation, Model Lifecycle (training, serving and registries) & Natural language Processing (NLP) and LLMs In this role, you'll have the opportunity to push the boundaries of our technology stack, from modifying open-source libraries to innovating with existing technologies If you're passionate about distributed systems at scale and finding new ways to extract insights from vast amounts of data, we invite you to join us in this exciting journey. What You'll Bring: Bachelors or masters degree in computer science or equivalent degree or demonstrable experience. Proven experience as a Lead Software Engineer in AI/ML and Data Science. Minimum of 8+ years of working experience. Leadership experience as tech or team lead (2+ Years). Strong knowledge of Python and software engineering principles (5+ Years). Strong knowledge of cloud infrastructure and containerization (5+ Years). Docker is required. Azure or AWS is required (Azure is preferred). Strong working knowledge of TensorFlow / PyTorch (5+ Years). Good working knowledge of ML-Ops Principles (3+ Years). Data Preparation Model Lifecycle (training, serving and registries) Good theoretical knowledge of AI / Data Science in one or more of the following areas: Natural language Processing (NLP) and LLMs. Neural Networks Topic modelling and clustering Time Series Analysis (TSA), including anomaly detection, trend analysis, and forecasting) Retrieval Augmented Generation Speech to text to excellent communication and collaboration skills.