450 Nlp Jobs - Page 18

At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation. We seek Data scientist Pyton+ Gen AI_+ Machince Learning who shares our passion for innovation and change. This role is critical to helping our business partners evolve and adapt to consumers' personalized expectations in this new technological era. What will help you succeed: Skills: Python + gen AI (NLP/ML) , Python + Exploratory Data Analysis ( EDA ) + Data Scientist Below JD Details- 3+ years of relevant industry experience leading the design, development, and deployment of data science solutions, gen ai or machine learning models. Experience defining and managing Data Architecture strategy and roadmap. Experience being the technical lead for multiple project teams simultaneously. Expert understanding of the state of the art of two or more fields in artificial intelligence; Preferably NLP and generative AI but may also be in probabilistic graphical models, time-series analysis, weak supervised learning, etc Previous experience mentoring, training, and developing junior members of the team; experience in employee performance reviews Expert understanding of Python and other common languages Deep understanding of generative ai or machine learning model development life cycles. Good understanding of knowledge graphs using a graph database. Extensive experience using common machine learning and deep learning frameworks such as TensorFlow, PyTorch, OpenAI, and LangChain Extensive experience with at least one cloud-based ecosystem (Azure, GCP, AWS), preferably AWS. Experience in an Agile working environment and at least one related project management tool (Azure DevOps, Jira, etc.) Demonstrated ability to write high-quality, production-ready code (readable, well-tested, well-documented, with well-designed APIs) Demonstrated ability to develop novel machine learning methods that go beyond putting together existing open-source code, and to apply problem-solving skills to complex issues. This job can be filled in Pune/Hyderabad If interested you can share you updated CV to sneha.ingle@globant.com Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to positively impact the world. At Globant, we believe in fostering a diverse and inclusive workplace where everyone feels valued and respected. We are an Equal Opportunity Employer committed to creating a thriving and inclusive environment for all employees and candidates, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic. If you need any assistance or accommodations due to a disability, please let us know by applying through our Career Site or contacting your assigned recruiter. We may use AI and machine learning technologies in our recruitment process. Compensation is determined based on skills, qualifications, experience, and location. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about our commitment to diversity and inclusion and Globants Benefits .

About the Role: We are seeking a highly skilled Lead Data Scientist with 4-8 years of experience to drive innovation in machine learning, deep learning, and generative AI. The ideal candidate should have expertise in Large Language Models (LLM), Retrieval-Augmented Generation (RAG), AI Agents, and hands-on experience in LangChain or LlamaIndex, and Knowledge Graphs. The role also requires strong technical leadership and experience in AI Agent frameworks and libraries. Key Responsibilities: Lead the development and deployment of machine learning models, deep learning frameworks, and AI-driven solutions across the organization. Work closely with stakeholders to define data-driven strategies and drive innovation using AI and machine learning. Design and implement robust data pipelines and workflows in collaboration with data engineers and software developers. Develop and deploy APIs using web frameworks for seamless integration of AI/ML models into production environments. Mentor and lead a team of data scientists and engineers, providing technical guidance and fostering professional growth. Leverage LangChain or LlamaIndex to enhance model integration, document management, and data retrieval capabilities. Lead projects in Generative AI technologies, such as Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and AI agents, to create innovative AI-driven products and services. Stay updated on the latest AI/ML trends, ensuring that cutting-edge methodologies are adopted across projects. Collaborate with cross-functional teams to translate business problems into technical solutions and communicate findings effectively to both technical and non-technical stakeholders. Required Skills and Qualifications: Experience: 4-8 years of experience in data science and AI/ML, with a strong foundation in machine learning, deep learning, generative AI and data engineering. Generative AI Expertise: Minimum 2 years of experience with gneretaive AI. Hands-on experience with LLMs, RAG, and AI agents. AI Agents & Frameworks: Hands-on experience with AI agent frameworks/libraries (e.g., LangGraph,CrewAI, OpenAI's Function Calling, Semantic Kernel, etc.). Programming: Strong proficiency in Python, with experience using TensorFlow, PyTorch, and Scikit-learn. LangChain & LlamaIndex: Experience integrating LLMs with structured and unstructured data. Knowledge Graphs: Expertise in building and utilizing Knowledge Graphs for AI-driven applications. SQL & NoSQL Databases: Hands-on experience with SQL (PostgreSQL, MySQL, etc.) and NoSQL (MongoDB, Cassandra, etc.) database. API Development: Experience in developing APIs using Flask or FastAPI or Django. Cloud & MLOps: Experience working with cloud providers like AWS, GCP, Azure and MLOps best practices. Excellent communication, leadership, and project management skills. Strong problem-solving ability with a focus on delivering scalable, impactful solutions. Preferred Skills: Experience with Computer Vision applications. Chain of Thought Reasoning: Familiarity with CoT prompting and reasoning techniques. Ontology: Understanding of ontologies for knowledge representation in AI systems. Data Engineering: Experience with ETL pipelines and data engineering workflows. Familiarity with big data tools like Spark, Hadoop, or distributed computing.

About the Role: We are seeking a highly skilled Lead Data Scientist with 4-8 years of experience to drive innovation in machine learning, deep learning, and generative AI. The ideal candidate should have expertise in Large Language Models (LLM), Retrieval-Augmented Generation (RAG), AI Agents, and hands-on experience in LangChain or LlamaIndex, and Knowledge Graphs. The role also requires strong technical leadership and experience in AI Agent frameworks and libraries. Key Responsibilities: Lead the development and deployment of machine learning models, deep learning frameworks, and AI-driven solutions across the organization. Work closely with stakeholders to define data-driven strategies and drive innovation using AI and machine learning. Design and implement robust data pipelines and workflows in collaboration with data engineers and software developers. Develop and deploy APIs using web frameworks for seamless integration of AI/ML models into production environments. Mentor and lead a team of data scientists and engineers, providing technical guidance and fostering professional growth. Leverage LangChain or LlamaIndex to enhance model integration, document management, and data retrieval capabilities. Lead projects in Generative AI technologies, such as Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and AI agents, to create innovative AI-driven products and services. Stay updated on the latest AI/ML trends, ensuring that cutting-edge methodologies are adopted across projects. Collaborate with cross-functional teams to translate business problems into technical solutions and communicate findings effectively to both technical and non-technical stakeholders. Required Skills and Qualifications: Experience: 4-8 years of experience in data science and AI/ML, with a strong foundation in machine learning, deep learning, generative AI and data engineering. Generative AI Expertise: Minimum 2 years of experience with gneretaive AI. Hands-on experience with LLMs, RAG, and AI agents. AI Agents & Frameworks: Hands-on experience with AI agent frameworks/libraries (e.g., LangGraph,CrewAI, OpenAI's Function Calling, Semantic Kernel, etc.). Programming: Strong proficiency in Python, with experience using TensorFlow, PyTorch, and Scikit-learn. LangChain & LlamaIndex: Experience integrating LLMs with structured and unstructured data. Knowledge Graphs: Expertise in building and utilizing Knowledge Graphs for AI-driven applications. SQL & NoSQL Databases: Hands-on experience with SQL (PostgreSQL, MySQL, etc.) and NoSQL (MongoDB, Cassandra, etc.) database. API Development: Experience in developing APIs using Flask or FastAPI or Django. Cloud & MLOps: Experience working with cloud providers like AWS, GCP, Azure and MLOps best practices. Excellent communication, leadership, and project management skills. Strong problem-solving ability with a focus on delivering scalable, impactful solutions. Preferred Skills: Experience with Computer Vision applications. Chain of Thought Reasoning: Familiarity with CoT prompting and reasoning techniques. Ontology: Understanding of ontologies for knowledge representation in AI systems. Data Engineering: Experience with ETL pipelines and data engineering workflows. Familiarity with big data tools like Spark, Hadoop, or distributed computing.

e.g.andmodellingDesignation : Principal(9+ Yrs)/Sr.(5+ Yrs)/Jr.(3+ Yrs) Data Scientist Responsibilities: • Perform as a Data Scientist by leading execution and technical planning within the organization and team, along with mentoring other Data Scientists. • Ideate and implement discoveries to build new product features and data products, and improve existing methodologies and algorithms. • Collaborate across Product, Data, and Engineering teams to identify, investigate, integrate, and deliver solutions Reback-end and front-end data services solution slated to back-end and front-end data services. • Lead and deliver complex projects involving data and statistical modelling (e. g. sampling, forecasting, segmentation, classification, predictive modeling, etc. ) • Regularly communicate outcomes, new initiatives, improvements, etc. to stakeholders. • Serve as a data science subject matter expert for both internal and external stakeholders. Requirements: • Strong expertise in data analytics and interpretation skills. • Proven ability to design analytical solutions to complex business problems and to partner with cross-functional peers to tailor those solutions for the greatest possible impact. • Deep understanding of ML domains (e.g. classification algorithms, NLP, computer vision, recommendation, anomaly detection, graph learning), algorithms (e.g. deep learning, gradient boosted trees, optimization), and best practices, (e. g. skew minimization, A/B testing, feature engineering, model selection) • Strong programming (Python / Scala / Java / C++ or equivalent) or data engineering skills. • Utilize OSS ML technologies such as PyTorch, TensorFlow, Spark, and Airflow. • Versatility to communicate clearly with both technical and non-technical audiences. • Publications or presentations in recognized Machine Learning and Data Mining journals/conferences are a plus.

Roles and Responsibilities Design, develop, and deploy machine learning models using various algorithms such as Bayesian statistics, frequentist statistics, optimization techniques, time series analysis, reinforcement learning, NLP, etc. Collaborate with stakeholders to understand business requirements and translate them into data science solutions. Develop high-quality code in Python (Pandas, NumPy, Matplotlib) or R (base packages) for building ML models. Ensure scalability and efficiency of deployed models by monitoring performance metrics like accuracy, precision, recall etc. Communicate complex technical insights effectively through reports and presentations. Desired Candidate Profile 4-8 years of experience in Data Science/Machine Learning Engineering with a strong background in finance/risk domain. Bachelor's degree in Any Specialization (B.Sc/B.Tech/B.E.). Proficiency in programming languages like Python/R; familiarity with cloud platforms like GCP/AWS/Azure; experience with big data tools like Spark/Hadoop. JD DETAILS- Data Scientist / Machine Learning Engineer - Neo soft client looking for candidates who are good in building ML Models for Financial/Risk verticals. make sure candidates have enough experience in building models. Job Title: Data Scientist / Machine Learning Engineer Experience: 4 Years Location: Bangalore (Lingarajapuram) Budget: 18 LPA What Youll Do You will work directly as part of AA CoE and be a part of analytics focused projects across statistics, optimization & simulations, machine learning and Big Data. Your role will involve design and implementation of advanced statistical analysis and machine learning algorithms to derive business insights and solve complex business problems. This includes gathering and analyzing information, formulating and testing hypotheses, and developing and communicating recommendations. You may also be responsible for presenting results to management and implementing recommendations with team members. You’ll have the opportunity to gain new skills and build on the strengths you bring to the company. Main task Design and implement machine-learning models to support the business’s numerous initiatives and programs with a view of achieving overall objectives and targets Successful documentation of reusable code Achieve personal technical development and learning goals Conduct knowledge sharing sessions internally within the CoE as well as externally in meetups, conferences etc. Participate in and help plan cultural initiatives for CoE Qualifications University degree in Computer Science, Engineering, Applied Mathematics or related fields and excellent academic record required; Master’s degree in above mentioned subjects preferred 4 years of technical experience in handling large datasets and applying advanced statistical and machine learning algorithms Hand-on experience in methodologies such as: Supervised and Unsupervised Learning, Feature Engineering, Bayesian Statistics, Frequentist Statistics, Optimization, Time Series, Graph/Network Theory, Reinforcement Learning, Deep Learning, Computer Vision, NLP, Interpretable AI, etc. Proficiency with at least one of the following languages: R, Python, SAS and experience of working with SQL/NoSQL databases Experience of working on platforms such as GCP, Dataiku, AWS, Azure, etc. Stakeholder management skills with ability to communicate and work with senior management effectively Skills to communicate complex ideas effectively

Gen AI Sr Developer Job Description: • 4-11 yrs of experience in IT • Must have 2+ yrs of experience in Data Science, Gen Ai, Natural language processing(NLP) and Python • Must have experience in Azure cloud

Grade – M3 Mandatory Skills: Data Science, NLP, ML, Python, Gen AI, AWS Experience: 5 to 8 Yrs Location: Bangalore Shift time: 2 PM to 11 PM

• Own the end-to-end lifecycle of GenAI products, from MVP to Solution • 7 + yrs exp in Project Management • Exp in AI/ML, SaaS, or cloud-based products. • Strong understanding of Generative AI & AI automation • PMP, PRINCE2 or equal Certification

We are looking for a Chatbot Engineer who would be expected to take functional ownership of modules in our microservice architecture. Your job would involve building modules that allow users to achieve pre-defined goals through a chat interface. Building these modules involves 3 distinct steps, integrating with external APIs, building conversational pipelines & integrating the functionality into our architecture. You would be expected to achieve this through a combination of prompt engineering, fine tuning existing LLMs, developing custom ML models (where appropriate) and connecting them together in a processor pipeline architecture. Requirements: Demonstrable experience developing high quality code using OOPs concepts Experience prompt engineering & utilizing LLMs, mainly OpenAIs APIs Familiarity with pipeline processor architecture or similar chatbot architecture concepts to build inference pipelines Bachelors/ Masters degree in Computer Science, Computer Engineering, Data Science, AI/ML etc. Min 1 years of relevant full time work experience as a developer or data scientist. Strong understanding of data structures & algorithms and can optimise for space/time. Has good understanding of databases, backend services, front end services, microservices architecture and distributed systems. Shows bias for action, comfortable navigating ambiguity. Compensation: 15 days paid vacation. Salary is competitive and varies substantially based on the skillset of an individual candidate. EEPL offers an ESOP program to select employees.

Full-Stack AI Developer Generative AI Lead AI app development, from front-end (React/Vue.js) to back-end (REST APIs, cloud). Train & deploy LLMs using TensorFlow/PyTorch.Strong Python, ML, and NLP expertise required. 5+ yrs full-stack, 2+ yrs AI exp.

Overview We are seeking a highly skilled and motivated Reporting Gen AI Lead Developer to join our team. The ideal candidate will be responsible for developing and implementing advanced AI-driven reporting solutions to enhance our data analytics capabilities. This role requires a deep understanding of AI technologies, data visualization, and reporting tools. Responsibilities Create Architecture (Conceptual, Logical & Physical) for Reporting Gen Ai Technical Solution Design. Develop a comprehensive architecture framework that includes conceptual, logical, and physical layers. This framework should define the structure, processes, and components needed for effective AI4BI solutions using Generative AI. Work closely with the Platform Team to develop required features or capabilities, assist in testing and scaling. Engage collaboratively with the Platform Team to identify necessary features and capabilities for implementation. Participate actively in testing phases to ensure functionality and scalability, providing feedback and support as needed. Act as the intermediary between the Reporting Ai Engineering Team and the Platform Team to communicate platform capabilities, issues, and concerns, and facilitate resolution. Serve as the communication bridge between the Reporting AI Engineering Team and the Platform Team. Relay information about platform functionalities, address any issues or concerns raised, and assist in finding timely and effective resolutions. Conduct research on Generative Ai Technology to ensure the team stays updated with market trends. Perform ongoing research into advancements and trends within Generative AI technology. Share findings with the team to keep everyone informed and ensure the integration of cutting-edge techniques and tools. Provide technical leadership to the Reporting Ai Engineering Team and assist in resolving issues. Offer guidance and expertise to the Reporting AI Engineering Team on technical matters. Help troubleshoot problems and provide solutions, fostering a collaborative and proactive problem-solving environment. Ensure all Reporting Ai Solutions are built according to the Technical Design. Oversee the development process to confirm that all solutions adhere strictly to the predetermined technical design specifications. Conduct regular reviews and checks to maintain high standards of quality and consistency. Ensure all Reporting Ai Solutions comply with PepsiCo's Responsible Ai & GenAi standards. Verify compliance with PepsiCo's policies on Responsible AI and Generative AI standards throughout the solution development lifecycle. Implement best practices and ethical guidelines to uphold these standards. Collaborate with cross-functional teams to understand reporting requirements and translate them into technical specifications. Work with various departments to gather detailed reporting needs. Translate these requirements into clear and actionable technical specifications to guide the engineering team. Stay informed about the latest advancements in GenAi and reporting technologies and apply them to enhance existing solutions. Keep abreast of new developments in both Generative AI and reporting technologies. Apply this knowledge to improve current solutions, ensuring they remain innovative and efficient. Qualifications Degree in Computer Science, Computer Engineering, Data Science or a related field preferred 10-14 years overall experience; 4+ years of professional experience working directly on the design, development and rollout of AI/ML/ GenAi Solutions Proven experience in developing GenAI-driven using solutions various tech stacks like, Knowledge Graphs, AI Agents, AI Search, Meta data catalogue and more. Experience with AI and machine learning frameworks like TensorFlow, PyTorch, or similar. Proficiency in programming languages such as Python, R, or SQL. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Experience with Azure cloud platforms like, AWS, or Google Cloud is a plus. Experience / involvement in organization wide digital transformations preferred Knowledge of natural language processing (NLP) and its application in reporting. Familiarity with data warehousing concepts and tools. Understanding of business intelligence and data analytics best practices.

About the Job: The Data Development, Insights & Strategy team is a highly focused effort to use the combination of our product fleet data, our business and sales data to provide strategic insight and act on the moments that matter in near real time to both drive meaningful customer interactions, product evolution, modernize/drive our business systems and identifying opportunities to maximize our understanding and execution of product & business models which in turn maximize our ability to successfully capture our market opportunity. We are seeking a motivated Data Scientist focused on natural language processing, machine learning & data analytics to join our team. The ideal candidate will be passionate about creating and developing applications, particularly within the language sector, and have excellent analytical and machine learning knowledge. The focus of the role will be to transform natural language data and requests into creative and interactive features part of our finance & operations business. If you want to build Next generation AI/ML applications, if you have rock-solid development skills, if you thrive in a start-up like environment, if you think outside of the box and love working in a team with similar minded engineers, if you are creative and want to help solve real world customer problems and love presenting innovative solutions, if you believe in community and OpenSource development culture then we are the TEAM for you. In this role, you will be the voice of Red Hat's technical authority, creating and delivering features/ capabilities that helps Red Hats data community and in turn our customers achieve their business and technical goals with Red Hat products effectively. You will work collaboratively with members of DDIS, finance, operations, sales, marketing, and product to construct fit for purpose analytical solutions that will be leveraged by business teams to drive proactive customer engagement. The successful candidate will have a track record of strong technical skills, drive to be innovative & creative, excellent communication and collaboration skills, a keen attention to detail, and a passion for quality and open source software. If you enjoy broadening your technical skills, and working in an environment that thrives on creativity, experimentation, and community innovation, then this is the job for you! What will you do? Collaborate with a small, agile team to research and implement effective NLP algorithms and tools. Contribute to the design, development, and delivery of NLP applications from concept to production. Ensure the successful training and evaluation of NLP models, refining them based on statistical analysis. Collaborate with cross-functional teams, including finance, operations, sales, and marketing, to understand and meet business needs. What will you bring? 3+ years of professional experience in NLP with Python, including familiarity with Spacy and Hugging Face. Understanding of the data science cycle, from concept development to production deployment. Basic knowledge of machine learning frameworks and an interest in Generative AI application development. Experience with AWS for backend service development is a plus. A proactive mindset with a passion for innovation and problem-solving. A Bachelor's degree in Computer Science, Mathematics, Computational Linguistics, or a related field. Personal qualities and communication Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling Communication skills and experience in interacting with cross functional business and engineering teams Capability in undertaking business needs analysis in direct consultation. Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change. Capability to develop a detailed understanding of our business requirements. Excellent communication, presentation, and writing skills.

Greetings from Infogain! We are hiring for AI/ML Development. Please find below job details. Experience: 2 - 5 Years Location: Noida/ Mumbai/ Pune/ Bangalore/ Kochi Mode: Hybrid Job Description: Expertise in developing and optimizing complex AI/ML applications. Strong understanding of AI/ML libraries and frameworks like TensorFlow, Keras, PyTorch, etc. Experience in using AI/ML development tools and technologies. Familiarity with software testing and debugging best practices

Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Data & AI Strategy I Level: Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 10 to 15 years Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AI"and the data that fuels it all"to power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI & Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data & AI and how they can be applied to address real world problems and opportunities. 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 Design & guide development of Enterprise-wide AI & Gen AI strategy for our clients 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 & Gen AI solutions Conduct discovery workshops and design sessions to elicit AI & Gen AI opportunities & client pain areas. Utilize strong expertise & certification in any of the AI & Gen AI Cloud platforms - Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. 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. Have a deep understanding of the Responsible AI & Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation. Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Read more about us. Your experience counts! MBA from a tier 1 institute 5- 7 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 3+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential

The AI-Gen AI Strategy Senior Manager Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Data & AI Strategy I Level: Senior Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 14 to 20 years Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AI"and the data that fuels it all"to power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI & Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data and AI and how they can be applied to address real world problems and opportunities. 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 Design & guide development of Enterprise wide AI & Gen AI strategy for our clients 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 & Gen AI solutions Conduct discovery workshops and design sessions to elicit AI & Gen AI opportunities & client pain areas. Utilize strong expertise & certification in any of the AI & Gen AI Cloud platforms - Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. 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. Have a deep understanding of the Responsible AI & Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Read more about us. Your experience counts! MBA from a tier 1 institute 7- 10 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 4+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data & AI transformations Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential Whats in it for you? 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 everything"from 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. About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions " underpinned by the worlds largest delivery network " Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 569,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting: 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, 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 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. 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 | At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, . Qualifications MBA from a tier 1 institute 7 10 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 4+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data & AI transformations Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential

Required Educational Qualification: PhD/ MTech / BTech with relevant experience from Tier 1 Campus only. Desired Experience: 0 - 4 Years Job Objective: You will be building innovative Machine Learning solutions for vital and complex business problems. Key Responsibilities Design and develop audio processing and deep learning models for speech recognition, sound classification, and voice synthesis. Implement and optimize Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) systems. Research and apply generative models for audio generation, voice cloning, and synthetic speech creation. Develop algorithms for noise reduction, audio enhancement, and acoustic modeling. Work on speaker recognition, voice identification, and emotion detection using advanced AI techniques. Collaborate with cross-functional teams to integrate audio models into real-time production environments. Build multimodal AI systems that combine audio with text, video, or image data. Stay current with advancements in audio AI research, deep learning, and speech processing technologies. Required Skills and Qualifications Ph.D., Masters degree, Bachelors in Data Science, Computer Science, Statistics, Electrical Engineering, Mathematics or related analytical field. Excellent problem-solving and analytical skills, with a focus on delivering data-driven business solutions audio models. Expertise in audio and speech processing models using deep learning frameworks (TensorFlow, PyTorch, OpenAI Whisper). Proficiency in audio signal processing techniques, spectrogram analysis, and waveform-based modeling. Experience with speech-to-text, audio generation, and voice synthesis systems. Strong programming skills in Python Expertise in data pre-processing, feature engineering, and data modeling techniques with knowledge in Pandas, scikit-learn, matplotlib, numpy, xgboost, dask, scipy, spacy and other relevant libraries. Strong programming skills in Python and other relevant query languages for data manipulation and analysis. Experience with big data technologies such as Hadoop, Spark is plus. Experience working in cross-functional teams and managing multiple stakeholders. Excellent problem-solving, critical thinking, and communication skills. Connect with me on Linked: Prince Narang ( https://www.linkedin.com/in/princenarang/ )

Knowledge on Solr search, schema for various data elements and prior experience in customize/implementations. Design, develop and improve open-source search APIs and SDKs Good understanding on Solr: Stemming, NLP, Result Grouping, Nested Fields, Ranking algorithms. Good knowledge about B2B commerce application and commerce objectives. Location- Remote, Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad

Research, design, and implement advanced NLP models to enhance platform's multilingual capabilities. Develop, fine-tune statistical, neural models for optimal performance. Build scalable pipelines to train, evaluate, deploy multilingual NLP solutions Required Candidate profile RAG frameworks integrating contextual data into models. Skilled in Python/R and ML frameworks - PyTorch, TensorFlow, Hugging Face, Strong foundation in machine learning deep learning principles.

Experience on MLOps and DevOps Strong hands-on Python developer with microservices Machine learning NLP, Data Science, GenAI Cloud GCP/ AWS with Containerization and Kubernetes. Generative AI, LLAMA, RAG Knowledge of Java, Spring Boot etc. is plus.

Job Overview PitchBooks Senior Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team. Team Overview PitchBooks Data Science and Machine Learning team has a clear mission: leverage cutting-edge machine learning and cloud technologies to automatically research millions of private companies and process hundreds of millions of news articles. Our team is also responsible for building services to improve the PitchBook Platforms search and discovery capabilities. Outline of Duties and Responsibilities Apply NLP and Machine Learning: Analyze and extract features from large amounts of unstructured data, determine most relevant features, and use appropriate algorithms to drive insight into the data. Extract Insights from Textual Data: Analyze unstructured data such as articles and conversations to identify unique signals of company performance, aiding market trend prediction. Collaborate Efficiently: Partner with Data Scientists, Product and Engineering teams to automate processes for large-scale data, improving data management, and analysis. Stay Informed and Lead: Stay updated on industry trends in Data Science and ML, actively contributing to the development of best practices and thought leadership. Support Company Vision: Share our company's values and foster a positive work culture. Participate in Initiatives: Engage in company projects to contribute to overall success. Experience, Skills and Qualifications Bachelor’s degree in Computer Science, Machine Learning, Statistics or related field. 5+ years of experience leveraging the above mentioned skills in a production environment. Demonstrated experience with natural language processing. Extensive experience with Python and OOP Framework. Demonstrated experience in using SQL for data extraction. Strong communication and data presentation skills. Strong problem solving ability. Ability to work autonomously and come up with solutions to own problems and problems of others. Ability to communicate complex analysis in a clear, precise, and actionable manner. Experience working closely a with software development team(s) a plus. Financial services, investment, banking, VC and/or PE knowledge is preferred, but not mandatory. Morningstar is an equal opportunity employer

Role & responsibilities Develop machine learning models and AI solutions. Test, deploy, and maintain AI systems. Collaborate with data scientists and other engineers to integrate AI into broader system and architectures. Stay current with AI trends and suggest improvements to existing systems and workflows. Preferred candidate profile degree in Computer science, engineering or related field. Experience with machine learning , deep learning, NLP, and computer vision. Proficiency in Python , Java, and R. Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Excellent problem solving skills and ability to work in a team environment. Perks and benefits BEST IN THE INDUSTRY.

We are looking for a Senior Machine Learning Engineer with deep expertise in Transformers, Large Language Models (LLMs), and Natural Language Processing (NLP). This role involves designing, training, and fine-tuning state-of-the-art AI models for real-world applications. The ideal candidate will have a strong research background and hands-on experience in deploying scalable NLP solutions. Key Responsibilities Research, develop, and optimize Transformer-based architectures (e.g., BERT, GPT, T5, LLaMA) for various NLP tasks. Fine-tune LLMs on domain-specific datasets to improve accuracy and performance. Work on text generation, summarization, named entity recognition (NER), and semantic search applications. Implement and optimize embedding techniques for retrieval-augmented generation (RAG). Apply self-supervised and reinforcement learning techniques to enhance model performance. Deploy and scale ML models using cloud platforms (AWS, GCP, Azure) and containerized solutions like Docker and Kubernetes. Improve inference efficiency using quantization, distillation, and model optimization techniques. Collaborate with data engineers, software developers, and research scientists to integrate ML models into production. Stay updated with the latest advancements in AI, NLP, and Deep Learning, applying innovative techniques to solve business challenges. Required Skills & Qualifications Expertise in NLP & LLMs: Strong understanding of transformer-based models (e.g., BERT, GPT, T5, LLaMA). Programming Skills: Proficiency in Python and deep learning frameworks like PyTorch, TensorFlow, and Hugging Face Transformers. Model Optimization: Experience with quantization, pruning, and distillation to improve model efficiency. Data Handling: Strong experience in preprocessing, tokenization, and vectorization of large text datasets. Deployment & Scalability: Hands-on experience with MLOps, API development, cloud services (AWS, GCP, Azure), and containerization (Docker, Kubernetes). Information Retrieval & RAG: Knowledge of vector databases (FAISS, Pinecone, Weaviate) and embedding techniques. Mathematical Foundation: Strong background in linear algebra, probability, and deep learning architectures. Collaboration: Ability to work with cross-functional teams and communicate technical concepts effectively. Preferred Qualifications Experience in low-rank adaptation (LoRA) and fine-tuning LLMs with limited resources. Exposure to multimodal learning (text, images, audio). Research publications or contributions to open-source NLP projects. Familiarity with prompt engineering and fine-tuning for AI assistants. What We Offer Opportunity to work on cutting-edge AI and NLP projects with a talented team. Ability to shape the development of next-generation AI applications. Access to latest ML research, conferences, and learning resources. Flexible work arrangements (remote/hybrid options available). Competitive salary and performance-based incentives.

Your role Solution Design:Collaborate with stakeholders to design and implement effective Generative AI solutions tailored to specific business requirements, ensuring alignment with industry best practices. Framework Development:Build and enhance frameworks for deploying Generative AI applications, ensuring they are robust, scalable, and optimized for hyper-scaler environments. LLM Integration:Work extensively with Large Language Models, optimizing their performance for various applications and use cases, while leveraging the capabilities of hyper-scaler platforms. Deep learning and ML expertise: Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision. Good applied statistics skills, such as distributions, statistical inference & testing, etc. Hands-On Development:Engage in hands-on coding and development of AI models and algorithms, utilizing the latest tools and technologies in the Generative AI landscape. Proof of Concept (PoC) Development:Lead the creation of PoCs that demonstrate the capabilities of Generative AI solutions. Your Profile Education:Bachelors degree in Computer Science, Software Engineering, or a related field; Masters degree is a plus. Experience:Hands-on experience in AI/ML development, with a strong emphasis on Generative AI technologies in hyper-scaler environments Technical Skills:Proficiency in programming languages such as Python, TensorFlow, or PyTorch; experience with LLM frameworks and model deployment on platforms like AWS, Azure, or Google Cloud. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : Senior Lead Datasceintist Exp : 18 - 25years Mode of work : Hybrid Model Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Role Overview: We are looking for an experienced Senior Lead Data Scientist / ML Engineer with a strong blend of pre-sales expertise, team leadership , and technical proficiency across classical machine learning, deep learning, and generative AI . You will engage in high-level client discussions, drive technical sales strategies, and lead a team to design and implement cutting-edge ML solutions. This is a strategic role requiring both thought leadership and hands-on technical contributions. Roles & Responsibilities Key Responsibilities Pre-Sales & Client Engagement Collaborate with the sales and business development teams to identify client needs and formulate AI/ML solutions. Present technical concepts, project proposals, and proof-of-concepts (POCs) to prospects and clients. Translate complex client requirements into actionable project scopes, estimates,and technical proposals. Leadership & Team Management Provide direction, mentorship, and performance feedback to a team of data scientists and ML engineers. Establish best practices in solution design, code reviews, model validation, and production deployment. Drive the strategic roadmap for AI initiatives, ensuring alignment with organizational goals and market trends. Classical Machine Learning & Statistical Modeling Apply classical machine learning techniques (e.g., regression, clustering, decision trees, ensemble methods) to solve diverse business problems. Design and optimize data pipelines, feature engineering processes, and model selection strategies. Ensure robust model evaluation, tuning, and performance monitoring in production environments. Deep Learning & Generative AI Develop and maintain deep learning models using frameworks such as TensorFlow or PyTorch for tasks like computer vision, NLP, or recommendation systems. Explore and build solutions leveraging generative AI (GANs, VAEs, or transformer-based architectures) for innovative product features and services. Champion research and experimentation with state-of-the-art AI models, staying ahead of industry advances. Project Delivery & MLOps Lead end-to-end ML project lifecycles, from data exploration and model development to deployment and post-launch maintenance. Implement MLOps best practices (CI/CD, containerization, model versioning) on cloud or on-premise infrastructures. Collaborate with DevOps and engineering teams to integrate ML solutions seamlessly into existing systems. Stakeholder Management & Communication Serve as a key technical advisor to executive leadership, product managers, and client teams. Communicate complex AI/ML findings in clear, actionable terms to both technical and non-technical audiences. Advocate data-driven decision-making and foster a culture of innovation within the organization. Required Qualifications Education & Experience Masters or PhD in Computer Science, Data Science, Engineering, or a related field is preferred. 12+ years of relevant industry experience in data science or ML engineering, with 5+ years in a leadership or management capacity. Technical Expertise Pre-Sales : Demonstrated experience in client-facing roles, solutioning, and proposal development. Classical ML : Skilled in traditional algorithms (regression, classification,clustering, etc.) and statistical methods. Deep Learning : Hands-on expertise with frameworks (e.g., TensorFlow,PyTorch) for CNNs, RNNs, transformer architectures, etc. Generative AI : Practical exposure to GANs, VAEs, or large language models, with a track record of building generative models. MLOps : Familiarity with CI/CD pipelines, Docker/Kubernetes, and cloud platforms (AWS, Azure, GCP). Leadership & Communication Proven ability to mentor and lead data science/ML engineering teams to meet project goals. Exceptional communication skills for presenting to clients, stakeholders, and executive leadership. Experience in agile methodologies and project management, balancing multiple projects simultaneously. Please check below link for organisation details, https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com

Interested candidates can share resumes at deepali.rawat@rsystems.com 4+ years of industry experience in AI/ML engineering, with a focus on Deep Learning and NLP Strong programming skills in languages such as Python. Experience with popular deep learning frameworks (e.g., PyTorch, TensorFlow), NLP libraries (e.g., NLTK, spaCy, Scikit-learn) and LLM focused libraries (e.g., LangChain, Llama Index, Open AI, Hugging Face) Strong understanding of AI/ML fundamentals, including machine learning algorithms, statistical modeling, and data structures Familiarity with vector databases (e.g., Qdrant, Pinecone, Faiss) and their applications in generative AI Knowledge of techniques for efficient AI/ML model deployment, including model pruning, quantization, and knowledge distillation Experience with generative AI models, including transformer-based architectures (e.g., BERT, T5) Experience with cloud-based AI/ML platforms (e.g., Azure AI Foundry, AWS SageMaker, or Google Cloud AI Platform) and containerization (e.g., Docker) Excellent problem-solving skills, with the ability to debug complex software and AI/ML systems Strong communication and collaboration skills, with experience working with cross-functional teams