880 Nlp Jobs - Page 28

Join Team Amex and let's lead the way together. How will you make an impact in this role? The Global Compliance & Ethics (GC&E) organization establishes the framework for American Express global compliance risk management program commensurate with the size, complexity and risk profile of the entity. As an independent risk management function, GC&E is responsible for overseeing the organization’s compliance with regulatory expectations through a combination of monitoring and testing activities. The Director of Data Analytics and Reporting is a new role that will be responsible for building and overseeing an analytics program designed to identify themes and trends across issues and complaint data with the purpose of driving compliance monitoring activities. Further, this role will assist the GC&E organization in independently gathering and evaluating pertinent data for use in its ongoing administration of its oversight duties. This role is essential in assisting GC&E in evolving the compliance risk management program to ensure the organization adheres to all relevant laws, regulations, and internal policies. The ideal candidate will be self-driven, have expertise in both building and managing analytic design and optimization efforts, ability to coordinate across cross matrixed environments, and is proficient in generating senior-leader ready reporting. Key Responsibilities: Collect, analyze, and interpret complex data from various sources to provide actionable insights. Develop reoccurring reporting that equips GC&E with the data needed to more effectively oversee the compliance framework. Partner with the broader GC&E to define the standards and deliverables to evidence a robust regulatory monitoring program. Drive awareness of regulatory monitoring requirements across the organization, ensuring alignment and accountability. Create reports, dashboards, and visualizations to distill large datasets into clear, concise, and meaningful information for leadership. Present data findings in a compelling way that tells a clear story, helping leadership understand trends, opportunities, and areas for improvement. Foster collaboration by engaging with stakeholders at all levels, understanding their needs, and tailoring data solutions to meet those requirements. Lead and develop a high-performing Regulatory Compliance team, fostering a culture of compliance excellence and continuous improvement. Governance: Designs, oversees, or substantively participates in risk governance structures, supporting clear accountability and decision-making frameworks that align with organizational objectives and regulatory requirements. Change risk management: Assesses, manages, or monitors risks arising from organizational, regulatory or environmental changes, so transitions do not expose the organization to new or unintended risks or lead to non-compliance with laws, regulatory requirements and supervisory expectations. Documentation: Develops and maintains practices and reporting to enable accurate and thorough records of risk management activities, supporting accountability and traceability throughout the risk management process. Risk communication and reporting: Communicates risk data, trends and analysis through structured reports, so key stakeholders, including the board of directors and senior leadership, receive timely, aggregate, accurate, complete and relevant information. Compliance regulatory reporting: Aggregates Compliance risk exposures across products, sectors or regions, and report to regulators in line with regulatory reporting requirements (e.g., SR 08-8, Heightened Standards, FRB LFI, CFPB, UK SMR, UK FCA). Qualifications: Bachelor’s degree required in Analytics, Computer Science, Statistics or related field; JD or Master’s degree preferred. Minimum of 10 years of experience in data analytics. Professional analytics certification preferred (Coursera, Exam DA-100, CAP) Excellent analytical, communication, and presentation skills with the ability to convey analytic results clearly and concisely to senior leadership. Strategic thinking and a being able to act independently in driving day to day operations. Proven track record of managing programs and improving processes within a regulated environment. Ability to manage multiple projects simultaneously and prioritize tasks effectively. Excellent interpersonal skills to influence and collaborate with stakeholders at all levels. Familiarity with regulatory requirements issued by CFPB, Federal Reserve, FDIC and OCC. Compliance Language We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

The Job: We are Seeking to identify a Data Scientist AI ML responsible to work on the company's maintenance use cases. This will include collaboration with aircraft engineers to plan installation of new aircraft sensors and avionics, enhancements to existing aircraft monitoring software, deployment of new predictive models, collaboration with OEMs, integration of health monitoring into United's approved maintenance programs, and technology to provide aircraft data directly to technicians. Liaison with Stakeholders in the Aircraft Health Monitoring team, Aircraft Engineering and other Data Scientists to understand the importance of several Predictive Mx use case, their executive feasibility and do a cost benefit analysis to identify the highest impact use cases that need to be prioritized Work on complex Sensor data coming out of AC systems like ACARS and QAR and be able to parse out relevant information Analyze the AC Maintenance and Operations data that to identify issues with critical A/C systems Build, Test, Deploy and Monitor complex Machine learning algorithms that predict AC failures Maintain and enhance existing model deployments to make sure they stay valuable and relevant Mentor junior members of the team and stay up to date with ML advances Your Profile: An ideal candidate will hold a bachelor's degree in a quantitative field in quantitative field like Math, Statistics, Operations Research, Computer Science, Engineering, Physics, or related fields with at least 4+ years of experience in Data Science/Machine Learning/advanced analytics/optimization. Deep understanding of data structures, relationships, and efficient transformations Familiarity with all parts of the data ecosystem -- acquisition, engineering, storage, management, analysis, visualization, and model deployment and monitoring Strong Knowledge of database querying and being able to write complex queries to extract data Fluent skill in python/pyspark Strong knowledge of Statistical Modelling, feature engineering, testing Ability to propose novel modelling approaches based on the problem being solved Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position

We, at Cogito, are looking for someone with a zeal and flair to curate knowledge pieces and writings on how Artificial Intelligence, Machine Learning & NLP have taken automation & efficiencies in various industries by storm and how these ever shape-shifting technologies are surprising humans themselves everyday. Cogito Technologies, having a strong presence in USA and its delivery center in Delhi NCR, India, specializes in Human Empowered Automation. Our mission is to help our customers innovate and scale by solving their day-to-day data needs. Using our skilled on-demand workforce, we partner with Machine Learning, Artificial Intelligence, Technology and ecommerce clients to develop high-quality data sets used to build and enhance various cutting-edge business applications. Cogito is currently working on Artificial Intelligence applications in Annotation work and is looking to engage with "Content Manager" to participate in ongoing projects. The Role Being Content manager you will be working closely with a team to read, write, summarize knowledge, and interpret meaning. Think of it like being a language arts teacher or a personal tutor for some of the world's most influential technology. Assist with development of Large Language Models Assist with development of Generative AI applications Evaluate and Grade responses of LLM models Content Summarization Model evaluation Model alignment Efficient inference Classification and categorization Sentiment analysis Multimodal model question-answering systems Skills Set: Fluent to native English writing and reading skills required University to Masters degree 8-15 years of extensive experience working as Content Writer Ability to answer free-form prompts (questions) across a general scope of topics Ability to reference online resources and rephrase and write cohesive, accurate, responsive, and sometimes empathetic answers to the prompts in the perspective of an AI model Proven track record working on other projects requiring free form sentence creation Ability to answer specialized domain free-form prompts at university-level difficulty Ability to provide cohesive explanations to their prompt responses (E.g., explaining the process of solving a given math question, listing out the detailed process for a software question, etc.) Extra Added advantage if you have: Up-to-date knowledge on US culture and news. Knowledge of various NLP tasks and algorithms, such as sentiment analysis, named entity recognition, text classification, machine translation, and language generation. The Person This is a technology job that accommodates humanities people and relies more fully on your competencies than your formal experience making it a rare opportunity that's perfect for new grads, career transitioners, and those seeking an exciting encore career in AI. You're the sort of person who is exceptional at generating copy intuitively. You've also got the metacognitive awareness to "show your work." In addition, you're the sort of person with a deep interest in linguistics. You instinctively document learnings and continuously refine methods. You are a(n): Dedicated Grammarian Natural Writer Diligent Reader Self-Aware Interpreter Synthetic Sense-Maker Perpetual Learner Instinctive Educator Proven experience required Core Content Writing Background with own website/blogs/written piece of articles etc. Work in a cordial and cooperative manner with Marketing, SEO & Operations teams Most importantly, technical bent of mind with keen interest in new technologies and their applications The ability to think and act like a stakeholder is a plus Non-technical Strong sense of responsibility in quality and idea generation Can work well with others and open for giving/taking suggestions Strong written and verbal communication skills Strong motivation to learn and go in-depth into field of study Job requirements Fluent in English to be able to follow instructions and guidelines Detail-oriented with the ability to understand and follow instructions Ability to meet deadlines Responsible, reliable, and communicative Urgent Requirement.. Only F2F interviews Address: (HR Round) C-40, Sector 59, Noida (Red Building Rsystem) Final Interview (Manager+ COO) A-83, sector 2, Noida --- Regards, Team HR Cogito-Noida

. Exposure in handling Python, Java and R,Keras or PyTorch,AI tools,Asp,vb,ado,mvc,sql,css platforms, and libraries to support project requirements. . Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.). . As a Data Eng, responsibilities will include web scrapping, manage distributed data processing, and develop robust data pipelines. . As an ML Eng, responsibilities will include training,monitoring,and evaluating state -of-the-art speech models.Data Science & Machine Learning: Pandas, NumPy, Scikit-learn, TensorFlow, Keras, OpenCV, NLTK, Matplotlib Jupyter Notebook, Anaconda, Power BI, Tableau, Apache Spark (Intro) AI & Emerging Technologies: Computer Vision, NLP, Chatbot Development, Recommendation Systems OpenAI, Hugging Face Transformers, Google Vision API.

Summary: As an AI/ML Engineer, you will be developing applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP). - Strong understanding of statistical analysis and machine learning algorithms. For NLP-Must have- NLP, Gen AI, ML, AI & DS-5+ yrs exp.

Key Responsibilities : We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities : Agent Development : - Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. - Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration : - Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. - Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation : - Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. - Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support : - Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. - Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement : - Stay updated on advancements in AI, machine learning, and Microsofts AI technologies. - Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills : - Strong knowledge of Azure OpenAI, Azure AI Search Index and open source libraries such as LangChain and LlamaIndex. - Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. - Understanding of conversational AI technologies and chatbot frameworks. - Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements : - Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Proven experience in developing and deploying AI/ML models in real-world applications. - Strong programming skills, especially in Python, and familiarity with version control systems like Git. - Extensive experience in the Microsoft environment and related technologies.

Management Level :06 Senior Manager Location :Bangalore/ Gurgaon/ Chennai/ Pune/ Hyderabad/ Mumbai Must have skills: Contact Center Transformation, Customer Service Strategy, Technology and Innovation Good to have skills: Industry Trends and Disruptions, Claims Management Expertise, General Regulatory and Compliance Expertise, Digital Literacy, Value architect, Product Owner, Business Analyst, Digital transformation, Business case creations for Contact center transformation. Job Summary : We are seeking a highly motivated and experienced Senior Manager with deep expertise in customer service transformation, with a specific focus on leveraging technology, AI, and innovation within the insurance sector. Critically, this role requires demonstrable experience working within an insurance firm in a customer service transformation capacity. This role will be pivotal in leading and driving initiatives to revolutionize customer experience, optimize service delivery, and implement cutting-edge solutions. The ideal candidate will be a thought leader with a proven track record of success in customer service transformation, particularly in the application of technology and AI within an insurance company environment. If this role resonates with you, we invite you to discover many exciting global opportunities available within Accenture Strategy & Consultings Customer, Sales & Service practice. Roles & Responsibilities: Subject Matter Expertise: Serve as subject matter expert (SME) on insurance customer service trends, best practices, technologies (including AI, automation, and analytics), and general regulatory guidelines. This includes staying abreast of evolving customer expectations, digital transformation trends, emerging technologies, and the competitive landscape within the insurance industry. Customer Experience Vision & Strategy: Develop and champion a forward-thinking customer experience vision and strategy, tailored to the insurance industry, with a focus on leveraging technology and AI. This includes defining customer journeys, identifying pain points, and designing innovative service models informed by firsthand experience within an insurance organization. Customer Service KPI Mastery: Possess a strong understanding of key customer service performance indicators (KPIs) in the Insurance sector, including customer satisfaction (CSAT), Net Promoter Score (NPS), first call resolution (FCR), average handle time (AHT), and cost per contact, Digital and Omni channel KPIs, Claims Specific KPIs, Employee Satisfaction, etc. Be able to analyze and interpret these KPIs to identify areas for improvement. AI & Automation Implementation: Lead the exploration, evaluation, and implementation of AI-powered solutions to enhance customer service, such as AI-driven chatbots, virtual assistants, personalized recommendations, and automated claims processing. This requires an understanding of how these technologies integrate within existing insurance systems and workflows. Digital Transformation Leadership: Drive the digital transformation of customer service, including the implementation of self-service portals, mobile apps, CRM systems, and other relevant technologies. Focus on creating seamless omnichannel experiences. Experience integrating these technologies into an insurance firm's ecosystem is essential. Innovation & Emerging Tech: Identify and evaluate emerging technologies and innovative solutions that can enhance customer service in insurance, such as natural language processing (NLP), machine learning (ML), etc. The ideal candidate will have a network within the insurance technology space. Process Optimization & Automation: Analyze and optimize existing customer service processes to improve efficiency, reduce costs, and enhance customer satisfaction, with a focus on automation and technology enablement. This requires a deep understanding of insurance operations and workflows. Technology Evaluation & Vendor Management: Evaluate and recommend customer service technologies and platforms, including AI-powered solutions. Oversee the implementation and integration of these systems, ensuring seamless functionality and user adoption. Manage relationships with third-party vendors. Data Analytics & Reporting: Utilize data analytics to measure customer service performance, identify areas for improvement, track the effectiveness of transformation initiatives, and demonstrate the ROI of technology investments. Develop and present reports on key metrics and trends. Experience using insurance-specific data sources Experience with insurance-specific KPIs is essential. Client Engagement: Consult with clients on their customer service strategies and provide expert guidance on transformation initiatives, with a focus on technology and AI adoption. This may involve leveraging knowledge of specific insurance regulations and compliance requirements. Pre-sales activities: Lead and contribute to pre-sales activities including response to RFPs, creating proofs of concept, creating effective presentations, demonstrating solutions during client orals, effort and cost estimation process, etc. Thought Leadership :Lead practice-specific initiatives including creating points of view, creating reusable assets on contact center space, performing analysis on industry research and market trends and bringing in innovative solutions, etc. Continuous Learning :Ability to take new challenges and to be an enthusiastic learner. Professional & Technical Skills: MBA from a tier 1 or tier 2 institute. 10+ years of digital experience and solid knowledge of industry tools and understanding of designing intuitive and responsive user experiences. Experience in working for an Insurance company in Service Transformation role. Solid experience developing interactive models using conversational platforms and deep understanding of customer-centered design processes with consulting experience (optional). Experience of working with business stakeholders across multiple geographic areas, with different priorities and requirements. Ability to work in high-paced and complex projects and understand industry-specific customer service processes, operations, and functional needs. Strong stakeholder management skills and a proactive approach to issue and risk resolution. Bachelors degree in related field or equivalent experience and Post-Graduation in Business management would be an added value. Experience leading the design and implementation of contact center applications, from concept to deployment, is highly desirable. Additional Information: An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. Qualification Educational Qualification :Post Graduation in Business Management

What You'll Do We are looking for experienced Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping and delivery of the LLM platform features. You will have a blend of technical skills in the fields of AI & Machine Learning especially with LLMs and a deep-seated understanding of software development practices where you'll work with a team to ensure our systems are scalable, performant and accurate. You will be reporting to Senior Manager, AI/ML. What Your Responsibilities Will Be We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include: Build on top of the foundational framework for supporting Large Language Model Applications at Avalara Experience with LLMs - like GPT, Claude, LLama and other Bedrock models Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place. Inspire creativity by researching and applying the latest technologies and methodologies in machine learning and software development. Write, review, and maintain high-quality code that meets industry standards. Lead code review sessions, ensuring good code quality and documentation. Mentor junior engineers, encouraging a culture of collaboration. Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged. What You'll Need to be Successful Bachelor's/Master's degree in computer science with 5+ years of industry experience in software development, along with experience building Machine Learning models and deploying them in production environments. Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices. Work with technological innovations in AI & ML(esp. GenAI) Experience with design patterns and data structures. Good analytical, design and debugging skills. Technologies you will work with: Python, LLMs, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, Grafana

What you will do In this vital role We are looking for a creative and technically skilled Senior Software Engineer/AI Engineer Search to help design and build cutting-edge AI-powered search solutions for the pharmaceutical industry. In this role, you'll develop intelligent systems that surface the most relevant insights from clinical trials, scientific literature, regulatory documents, and internal knowledge assets. Your work will empower researchers, clinicians, and decision-makers with faster, smarter access to the right information. . Design and implement search algorithms using NLP, machine learning, semantic understanding, and deep learning models Build and fine-tune models for information retrieval, query expansion, document ranking, summarization, and Q&A systems Support integration of LLMs (e.g., GPT, BERT, Bio BERT) for semantic and generative search Train and evaluate custom models for biomedical named entity recognition, relevance ranking, and similarity search. Build and deploy vector-based search systems using embeddings and vector databases Work closely with platform engineers to integrate AI models into scalable cloud-based infrastructures (AWS, Azure, GCP) Package and deploy search services using containerization (Docker, Kubernetes) and modern MLOps pipelines. Preprocess and structure unstructured content such as clinical trial reports, research articles, and regulatory documents Apply knowledge graphs, taxonomies, and ontologies (e.g., MeSH, UMLS, SNOMED) to enhance search results Build and deploy recommendation systems models, utilize AIML infrastructure, and contribute to model optimization and data processing Experience in Generative AI on Search Engines Experience in integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement Experience Generative AI tasks such as content summarization. deduping and metadata quality. Researching and developing advanced AI algorithms, including Vision Models for visual content analysis. Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI. Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging. Continually researching current and emerging technologies and proposing changes where needed. Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements. Basic Qualifications: Degree in computer science & engineering preferred with 6-8 years of software development experience 2-4 years of experience building AI/ML models, ideally in search, NLP, or biomedical domains. Proficiency in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers Experience with search technologies like Elasticsearch, OpenSearch, or vector search tools Solid understanding of NLP techniques: embeddings, transformers, entity recognition, text classification Hands-on experience with various AI models, GCP Search Engines, GCP Cloud services Proficient in programming language AI/ML, Python, Java Crawlers, Java Script, SQL/NoSQL, Databricks/RDS, Data engineering, S3 Buckets, dynamo DB Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Preferred Qualifications: Experience in AI/ML, Java, Python Experienced with Fast Pythons API, GraphQL Experience with design patterns, data structures, data modelling, data algorithms Experienced with AWS /Azure Platform, building and deploying the code Experience in Postgres SQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Buckets Knowledge of LLMs, generative AI, and their use in enterprise search Experience in Google cloud Search and Google cloud Storage Experience with popular large language models Experience with LangChain or LlamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Experience in Agile software development methodologies Experience in End-to-End testing as part of Test-Driven Development Good to Have Skills Willingness to work on Full stack Applications Exposure to MLOps tools like MLflow, Airflow, or SageMaker Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, remote teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills.

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.

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. Tezo is seeking passionate AI Engineers who are excited about harnessing the power of Generative AI to transform our company and provide cutting-edge solutions for our clients. Join us in revolutionizing enterprises by building intelligent, generative solutions that leverage AI/ML. If you've ever dreamed of contributing to impactful projects on a large scale, this is the opportunity for you! In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying generative AI models. What Makes Our AI/ML Practice Unique: Purpose-driven: We actively respond to our customers' evolving needs with innovative solutions. Collaborative: We foster a positive and engaging work environment where collective ideas thrive. Accountable: We take ownership of our performance, both individually and as a team. Service Excellence: We maximize our potential through continuous learning and improvement. Trusted: We empower individuals to make informed decisions and take calculated risks. Job Summary: We are looking for a dedicated Lead Data Scientist with a strong background in Generative AI to join our team. You will support product, leadership, and client teams by providing insights derived from advanced data analysis and generative modeling. In this role, you will collaborate closely with the development team, architects, and product owners to build efficient generative models and manage their lifecycle using the appropriate technology stack. Core Requirements: At least 6 years of experience working with geographically distributed teams 2+ years of experience working in a client-facing role on AI/ML . Demonstrable experience in leading a substantive area of work, or line management of a team. Proven experience in building production grade Retrieval-Augmented Generation (RAG) solutions with hands on experience with advanced RAG techniques for retrieval, re-ranking etc. Build GenAI applications using LangChain, LlamaIndex and familiarity with Vector Stores and Large Language Models. Experience in fine-tuning Large Language Models (LLMs) for business use cases will be preferred. Minimum of 4 years of experience in developing end-to-end classical machine learning and NLP projects. Demonstrated experience in deploying ML solutions in production using cloud services like Azure,AWS. Business Understanding, Stakeholder management and Team leading skills. Strong practical expertise in Python and SQL needed for data science projects. Join us at Tezo to be part of a dynamic team committed to driving innovation through Generative AI solutions!

Mandatory Skills : Python, Machine Learning Models, Flask, Data Visualization Tools. Good to have : Gen AI, NLP, Cloud (AWS) etc Notice Period : Immediate - 30 days Relevant Experience : 5+ Years in Machine Learning Responsibilities : - Design, develop, and deploy machine learning models and algorithms. - Perform data analysis to extract insights and identify patterns. - Develop and implement feature engineering processes to enhance model performance. - Collaborate with data scientists and cross-functional teams to understand business requirements and translate them into technical solutions. - Build and maintain scalable data pipelines and infrastructure. - Develop and deploy machine learning applications using Flask, FastAPI, or Django. - Conduct experiments, model tuning, and evaluate model performance using appropriate metrics. Must-Have Skills : - Python and its libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch). - Experience with web frameworks such as Flask, FastAPI, or Django. - Strong understanding of machine learning algorithms and techniques. - Experience with data visualization tools (e.g., Matplotlib, Seaborn). - Strong problem-solving skills and ability to work independently as well as in a team. - Excellent communication skills to effectively convey technical concepts to non-technical stakeholders. Good-to-Have Skills : - Experience with cloud platforms, particularly AWS. - Knowledge of MLOps practices and tools. - Experience with Natural Language Processing (NLP) techniques. - Exposure to Generative AI (GenAI) technologies.

Architect scalable, high-performance Python applications and solutions. Ensure adherence to design principles, patterns, and coding standards in Python development.Proficiency in Python libraries (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch).

Experience: 7-12years Location and Work Mode: Pune Job Description: About this Role We are seeking a highly skilled and motivated Data Scientist to join our team. This role is ideal for individuals who are passionate about leveraging data to drive innovation and create intelligent, scalable solutions. The successful candidate will work across a variety of data science domains, including diagnostic, predictive, and prescriptive analytics, and will contribute to the development of autonomous cognitive systems. This is an exciting opportunity to be part of a forward-thinking team that values continuous learning and collaboration. Who are you A data enthusiast with a strong foundation in machine learning, deep learning, and statistical modelling. A collaborative problem-solver who thrives in cross-functional teams and is comfortable engaging with stakeholders. A continuous learner with a passion for exploring new tools, technologies, and methodologies. An effective communicator who can translate complex data insights into actionable business strategies. A self-starter with a proactive mindset and the ability to work independently in a dynamic environment. What you will do Manage and process large-scale data on both on-premise and cloud platforms (preferably AWS). Design and implement diagnostic models using decision theory and causal inference techniques (e.g., DAG, ADMG, Deterministic SME). Build and productise diagnostic systems for scalable reuse across the organisation. Develop robust predictive and prescriptive analytics models using AI techniques such as ML, DL, NLP, ES, and RL. Create intelligent systems that determine the Next Best Action based on prescriptive analytics. Drive the development of autonomous cognitive systems that proactively recommend actions with minimal human intervention. Apply advanced deep learning techniques including CNNs, RNNs, and MLPs to solve complex business problems. Utilise machine learning and deep learning libraries such as TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, Statsmodels, Theano, and XGBoost. Collaborate with stakeholders to understand business needs and deliver data-driven solutions. Present insights and findings using visualisation tools like Tableau and Power BI. What skills you need Proficiency in programming languages: Python, R, SQL Experience with frameworks: TensorFlow, Keras, Scikit-learn Strong understanding of statistical modelling: regression, classification, clustering, time series Hands-on experience with cloud platforms: AWS (preferred), Azure Familiarity with big data technologies and environments Excellent communication and stakeholder management skills Strong analytical and problem-solving abilities At least one certification in AWS is preferred What skills you will learn Advanced applications of causal inference and decision theory in real-world scenarios Building and deploying scalable AI systems in cloud environments Designing autonomous systems that integrate feedback loops for continuous learning Enhancing stakeholder engagement through data storytelling and visualisation Exposure to cutting-edge tools and frameworks in the AI and ML ecosystem

Job Summary: We are seeking a highly skilled Functional AI Engineer to join our team and lead the development of custom knowledge-based AI models and large language model (LLM) implementations. The ideal candidate will have a strong background in artificial intelligence, machine learning, and natural language processing, with a focus on building innovative AI solutions that leverage knowledge-based systems and generative AI use cases. Key Responsibilities: - Design, develop, and implement knowledge-based AI models and LLMs to solve complex business problems. - Collaborate with cross-functional teams to identify opportunities for AI-driven solutions and develop custom use cases. - Conduct research and stay updated on the latest advancements in AI, machine learning, and NLP technologies. - Optimize and fine-tune AI models for performance, accuracy, and scalability. - Develop and maintain documentation for AI models, algorithms, and processes. - Ensure the ethical and responsible use of AI technologies in all implementations. - Provide technical guidance and mentorship to junior AI engineers and data scientists. - Work closely with stakeholders to understand business requirements and translate them into technical specifications. - Evaluate and integrate third-party AI tools and platforms as needed. - Monitor and analyze the performance of AI models, making necessary adjustments to improve outcomes. Qualifications: - Bachelor's or masters degree in computer science, Artificial Intelligence, Machine Learning, or a related field. - Proven experience in developing and implementing knowledge-based AI models and LLMs. - Strong programming skills in Python, TensorFlow, PyTorch, or similar AI frameworks. - Experience with natural language processing (NLP) and understanding of language models. - Familiarity with data management, data mining, and data visualization techniques. - Excellent problem-solving skills and ability to work independently and collaboratively. - Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders. - Experience in the paints industry or similar sectors is a plus. Interested candidates can send their resume dhanashree.chitre@weareams.com

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.

- Data Scientist -6+ years of experience in data science, with at least 2 years focused on LLMs or Generative AI. -Proven implementation experience in Data Science, Machine Learning, Deep Learning, and NLP for multiple domains. -Strong programming skills in Python, with experience in libraries such as Transformers (Hugging Face), PyTorch, or TensorFlow. -Hands-on experience with fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and LLM evaluation. -Familiarity with vector databases and embedding techniques. -Experience deploying models using APIs, Docker, and cloud platforms -Strong analytical, problem-solving, and communication skills. -Experience in ML Ops, Model deployment, Model lifecycle and management

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Marketing & Consumer Insights Location: Bangalore Reporting to: Senior Manager – Marketing & Consumer Insights COE 1. Purpose of the role We are looking for a highly motivated and strategic Senior Data Scientist to drive the global consumer sentiment analytics platform. This role will focus on building scalable, explainable, and accurate data science models using NLP and AI, enabling insights from social media, e-commerce platforms, and online review data across global markets. The candidate will own the end-to-end development cycle, from experimentation and model development to deployment and integration into Power BI dashboards. Mentoring junior data scientists, ensuring code quality, and exploring new AI techniques will also be part of the role. 2. Key tasks & accountabilities Own and manage data science workflows: data ingestion, cleaning, modeling, tuning, and interpretation. Apply and fine-tune NLP techniques for sentiment analysis, aspect extraction, multi-lingual translation and topic modeling. Ensure proper data modeling aligned with AB InBev’s data architecture; manage different data layers, handle data archiving, and continuously optimize the model as it matures. Integrate multiple datasets and data types (structured and unstructured) to improve model robustness and drive more insightful outputs. Oversee the deployment of models into production, ensuring integration with existing ABI systems and infrastructure. Ensure that the models are accurate, scalable and aligned with project objectives. Collaborate with functional and technical teams to translate business questions into modeling approaches. Participate actively during the dashboard visualization phase to ensure seamless user experience and usability; revisit model code to improve accuracy and simplify where possible. Work closely with visualization experts to ensure insights are consumable, intuitive, and decision-ready. Operate in a high-pressure, fast-paced environment across a global project with multiple stakeholders, diverse markets, and high-volume datasets. The ability to manage expectations, adapt to evolving requirements, and deliver results across geographies is critical. Drive experimentation and optimization cycles to improve model accuracy and business relevance. Partner with stakeholders across functions and geographies to ensure models address real-world needs. Maintain documentation and reproducibility standards across all modeling efforts. Mentor and support analysts and junior data scientists on best practices and solution design. 3. Qualifications, Experience, Skills Level of educational attainment required: Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, Engineering, or equivalent. Specialization or certifications in NLP, Deep Learning, or Applied AI preferred. Previous work experience required: 8+ years in data science with a focus on NLP and consumer analytics. Experience working with unstructured data, especially from social media, forums, or customer reviews. Prior exposure to end-to-end model deployment and integration with BI tools like Power BI. Experience in Agile teams, with familiarity in Azure DevOps or similar CI/CD environments. Proven ability to mentor and guide teams across multiple regions. IT Skills required: Python (essential), SQL, R, ML/DL frameworks (TensorFlow, Scikit-learn, SpaCy, HuggingFace) Experience with APIs (Twitter, Reddit, Facebook, YouTube, etc.) Familiarity with cloud environments (Azure preferred) Knowledge of Power BI integration and data pipelines Technical skills required: NLP, Sentiment Analysis, Topic Modeling, Text Classification Python, SQL, Machine Learning, Model Explainability API integration, Power BI readiness, data engineering fundamentals Text preprocessing, tokenization, and vectorization Sentiment analysis and topic modeling fundamentals Efficient coding practices and code optimization Working with multilingual corpora and translation APIs Knowledge of social listening tools (e.g., Brandwatch, Talkwalker) Advanced Data Visualization techniques Experience with multilingual data sets And above all of this, an undying love for beer! We dream big to create future with more cheers.

Key Responsibilities : We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities : Agent Development : - Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. - Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration : - Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. - Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation : - Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. - Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support : - Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. - Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement : - Stay updated on advancements in AI, machine learning, and Microsofts AI technologies. - Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills : - Strong knowledge of Azure OpenAI, Azure AI Search Index and open source libraries such as LangChain and LlamaIndex. - Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. - Understanding of conversational AI technologies and chatbot frameworks. - Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements : - Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Proven experience in developing and deploying AI/ML models in real-world applications. - Strong programming skills, especially in Python, and familiarity with version control systems like Git. - Extensive experience in the Microsoft environment and related technologies.

Face to Face interview in Pune . Please apply only if you are available for a Face to Face interview . Job highlights Required Qualifications . 0 -2 years of relevant industry experience or fresh graduates are welcome to apply. Basic experience or understanding in applying Data Science methodologies to extract, process, and transform data from multiple sources. Preferred Qualifications . Bachelors degree in Data Science , AI, Statistics ,Computer Science, Economics, or a directly related field. Essential Duties and Responsibilities Assist in developing, fine-tuning, and deploying machine learning models. Aid in consulting with key internal and external stakeholders to understand and frame model requirements and potential applications. Participate in the development of sound analytic plans based on available data sources, business partner needs, and required timelines. Work with software engineers in integrating trained models into end-user applications. Help manage deliverables across multiple projects in a deadline-driven environment. Present results, insights, and recommendations to both technical and non-technical stakeholders. Required Qualifications 0 -2 years of relevant industry experience or fresh graduates are welcome to apply. Good knowledge of Python and Linux, familiarity with ML frameworks, and a willingness to learn. Demonstrated problem-solving abilities and creative thinking. Basic experience or understanding in applying Data Science methodologies to extract, process, and transform data from multiple sources. Excellent communication and interpersonal skills. Must be comfortable working in a team-oriented environment. Preferred Qualifications Bachelor's degree in Statistics, Computer Science, Economics, or a directly related field. Masters degree or current enrollment in a Masters program in Statistics, Computer Science, Mathematics, Economics, or directly related fields is a plus. Demonstrated passion for continued learning and innovation. As a Data Science Assistant, we expect not just skills and qualifications, but also an enthusiasm for learning and growing within our team. We value those who are adaptable, innovative, and ready to take on challenges in a fast-paced work environment. Diversity, Inclusion & Equity At Rocket we are committed to an inclusive workplace environment, where every Rocketeer can thrive by bringing their full selves to work. Being a Rocketeer means you are part of our movement to continually drive inclusivity, diversity and equity in our workforce.

Role Responsibilities: Design and develop GenAI applications utilizing Python. Implement front-end solutions using Angular or React frameworks. Apply NLP techniques to enhance application functionalities. Optimize machine learning models for performance and scalability. Establish MLOps practices to streamline model deployment. Create and integrate APIs for seamless functionality between applications. Collaborate with cross-functional teams to define project requirements. Conduct code reviews to ensure adherence to best practices. Debug and troubleshoot applications to enhance user experience. Stay updated with industry trends and advancements in GenAI. Document project specifications and technological processes. Participate in regular team meetings to align on goals and challenges. Assist in training team members on GenAI technologies. Maintain version control for project codes and documentation. Provide technical support during product launches. Qualifications: Bachelor's or Master's degree in Computer Science or related field. Proven experience in GenAI development. Strong proficiency in Python programming language. Experience with front-end frameworks such as Angular and React. Hands-on expertise in Natural Language Processing (NLP). Familiarity with machine learning algorithms and models. Understanding of MLOps tools and practices. Experience in API development and integration. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Ability to work independently as well as in a team environment. Attention to detail with a focus on quality outcomes. Familiarity with database systems and management. Experience with version control systems like Git. Knowledge of agile methodologies is a plus.

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.

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.