559 Nltk Jobs - Page 17

Job Title: Senior AI/ML Engineer – LLM & Generative AI Experience: 8+ Years Location: Remote Employment Type: Full-Time Job Summary: We are seeking an experienced AI/ML Engineer with a strong focus on Large Language Models (LLMs) and Generative AI . The ideal candidate will have 8+ years of experience in NLP and transformer-based architectures , with a deep understanding of text generation , prompt engineering , and fine-tuning transformer models for enterprise-scale solutions. Key Responsibilities: Design, fine-tune, and deploy state-of-the-art LLMs for a variety of NLP tasks including text generation , summarization , question answering , classification , and translation . Work with transformer-based models such as GPT, BERT, T5, RoBERTa , and others for both research and production purposes. Fine-tune pre-trained models using domain-specific datasets , optimizing for performance and accuracy. Develop and iterate instruction-based prompts , leveraging zero-shot, few-shot, and many-shot learning techniques. Apply prompt engineering best practices to create templates that are adaptable, reusable, and context-aware. Implement chain-of-thought (CoT) prompting strategies to guide complex reasoning tasks. Proactively address challenges such as bias , hallucinations , and knowledge cutoffs that affect model outputs. Collaborate with cross-functional teams to integrate LLM-based features into applications and platforms. Evaluate and improve model performance through A/B testing, prompt iteration, and error analysis. Must-Have Skills: 8+ years of experience in AI/ML , with a strong focus on NLP and transformer-based models . Hands-on expertise with GPT , BERT , T5 , RoBERTa , and related models. Strong understanding of attention mechanisms , context windows , tokenization , embedding layers , and self-attention . Proven experience with fine-tuning and training transformer models. Deep knowledge of prompt engineering , including crafting effective prompts for various task types. Experience using zero-shot , few-shot , and instruction-based prompting approaches. Proficiency in Python and NLP libraries like Hugging Face Transformers , SpaCy , NLTK , etc. Familiarity with model deployment and MLOps workflows in NLP. Preferred Qualifications: Experience with LLM optimization and compression techniques. Understanding of ethical AI , bias mitigation , and LLM limitations . Experience deploying models in cloud environments (AWS, GCP, Azure). Strong communication and collaboration skills to work with product and engineering teams. Background in research or published work in NLP/LLM-related areas is a plus. Show more Show less

About This Role The Senior Data Scientist in the Interaction Insights team will help in generating actionable insights for driving the creation of fact-based research from client interactions and other Gartner internal and external data assets. At the core we are looking for a person who is passionate about learning new technologies, text analytics, digging into rows of unstructured data, drawing recommendations & actionable insights, and using creative ways to visualize & interpret it for research. This person will have a flair of innovation along with a strong experience in Python, Data Science, NLP, Machine Learning, Deep Learning, LLMs and the analysis of unstructured data. They would be working closely with various stakeholders to explore opportunities to optimize data mining techniques and improve the accuracy of insights generated using NLP or various types of Machine Learning/Deep Learning/LLM models. What you will do: Execute large-scale, high-impact data science projects, translating research objectives into actionable data and insights from both internal and external data assets Provide ad hoc modeling and analytical insights to inform strategic and operational initiatives Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning (ML) and natural language processing (NLP) Interpret data-driven patterns and insights in alignment with original business objectives Address critical business challenges by leveraging data science, ML, and NLP methodologies Interact with internal and external stakeholders to refine and enhance findings Collaborate as part of a team in a fast-paced environment, meeting strict SLAs and turnaround times Develop a deep understanding of the technology industry and maintain expertise in the data science domain Ensure delivery of high-quality data science solutions with a focus on accuracy and coverage Be accountable for the scalability, stability, and business adoption of data science solutions Maintain proper documentation and adhere to code reusability and best practices Take ownership of algorithms, including their ongoing enhancement and optimization to meet evolving business requirements Stay current with advancements in AI/ML models and technologies, and apply disruptive data science solutions as appropriate. Collaborate with engineering and product teams to launch MVPs and iterate quickly based on feedback Independently plan, drive and execute data science projects that deliver clear and measurable business value What you will need: Education - Master’s in engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, Computer Science with focus on AI or Data Science; BE/BTech or Bachelors (Comp. Sc./AI) with relevant experience Total experience - 7 to 10 years of which 5+ yrs as hands-on Data Science, AI/ML experience on real-world industry problems, with focus on Text Mining and Natural Language Processing/text analytics Advanced proficiency in Python and SQL, with experience using key data science libraries and tools (e.g., Pandas, Numpy, scikit-learn, TensorFlow, PyTorch, Spacy, NLTK, Scipy) Hands-on experience with machine learning, deep learning, NLP (including LLMs/GenAI), and applying these models to real-world business problems Strong background in data preparation, including cleaning, normalization, and handling unstructured text data for modeling Experience with cloud computing platforms such as AWS or Azure for model training, testing, and deployment Familiarity with both relational (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph databases), as well as distributed computing frameworks like Spark Proficiency in best coding practices and code/repo management using GitHub or Bitbucket Basic skills in Power BI, Excel, and PowerPoint Strong analytical, critical thinking, and problem-solving skills, with the ability to extract insights from complex and unstructured datasets Demonstrated ability to collaborate across product, engineering, and data science teams, and to influence stakeholders at all levels Excellent communication skills in both technical and business contexts Self-motivated, eager to learn, adaptable to feedback, and comfortable working in a fast-paced, milestone-driven environment What you will get: Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more! Collaborative, team-oriented culture that embraces diversity Professional development and unlimited growth opportunities Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:100853 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. Show more Show less

Introduction We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA- as the world around us changes, so do we. Wipro empowers companies to transform their business and deliver superior experiences for their customers, partners and employees. With an entrepreneurial mindset and a sense of fun, we thoughtfully evaluate clients problems; craft innovative solutions that leverage cutting-edge technologies; and work side-by-side with clients to drive business outcomes. Enterprise Futuring is the largest global business line across Wipro, they offer our clients forward-looking solutions for large-scale enterprise transformation. They offer intelligent insights, enterprise data, application platforms, digital operations, and cybersecurity risk services. At Enterprise Futuring, the AI practice has deep industry knowledge, incredible passion, and strong customer relationships. Wipro stands firm as a leading partner in AI service innovation, creating impactful realizations of business potential. Through the development of robust, personalized solutions enhanced by the innovative power of AI technology, Wipro is committed to building transformative journeys for clients. Roles & Responsibilities Day-to-day technical responsibilities Design solutions and implement generative AI models and algorithms, utilizing state-of-the-art algorithms such as GPT, VAE, and GANs. Work on integrating cloud with GenAI algorithms like ChatGPT, Bedrock, Bard, PaLM etc. Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. Research the latest advancements in generative AI, machine learning, and deep learning techniques, and identify opportunities to integrate them into our products and services. Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data pre-processing, feature extraction, model training, and evaluation. Drive the team to build GenAI products and solutions, working in an agile methodology Stakeholder Interaction & Management Work with internal teams and get relevant data/inputs for preparing documents such as RFP responses, capability demonstrations, client presentations and collaterals, participating in the customer calls to sell solutions etc. Collaborate with relevant stakeholders/teams to get feedback and make revisions to ensure that the proposal stays relevant to the needs throughout various proposal stages. Ensures communication among all parties throughout the proposal process Identifies bottlenecks in the process escalating accordingly to higher level, as necessary, to ensure timetable and deliverables remain on track Reach out to the below mentioned internal teams during proposal creation. Effective Project Management Effectively and efficiently plan, organize, lead and control the delivery of the final solution/proposal/document Prepare a work plan that lists the tasks required to create the proposal, such as design, writing, editing, review and production Uses strong interpersonal, organizational, and time management skills to juggle multiple tasks with differing deadlines to consistently produce the document Collaborate and influence internal key stakeholders to get relevant data within the specified timeline to ensure relevant data in plugged into the solution Ensure promptness and compliance of proposals by creating and managing proposal calendars, compliance checklists, compliance matrices, trackers, etc. Oversees collection and completion of all proposal components (technical, cost, management, annexes) working in collaboration with internal teams, as well as partners. Follow up with relevant stakeholders/teams to get feedback and revisions and ensure that the proposal development stays on schedule. Update the sales team and other stakeholders on a regular basis on the progress of the proposal Tech skills you will have You have solid experience over the last few years developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. You are proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. Prompt engineering for GenAI algorithms Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. Deployment of GenAI models Scrum/ Agile Why work at Wipro We pride ourselves on creating an inclusive workplace that provides equal opportunities to all persons regardless of their age, cultural background, sexual orientation, gender identity and expression, disability, veteran status, or anything else. If you only meet some of the requirements for this role, that's okay! We value a diverse range of backgrounds & ideas and believe this is fundamental for our future success. So, if you have the curiosity to learn and the willingness to teach what you know, we'd love to hear from you. Wipro has been globally recognized by several organizations for our commitment to sustainability, inclusion, and diversity. Social good is in our DNA, we believe in sustainability for the health of our planet, its inhabitants, and our business. For over 75 years we have operated as a purpose-driven company with an unwavering commitment to our customers and our communities. Energized by what we call the Spirit of Wipro, we commit ourselves to being a catalyst for change- working to build a more just, equitable and sustainable society. Around 66% of Wipros economic ownership is pledged towards philanthropic purposes. All of our employees are expected to embody Wipros 5-Habits for Success which are:Being Respectful, Being Responsive, Always Communicating, Demonstrate Stewardship, Building Trust.

About The Role Mandatory SkillGen AI, LLM, GPT-3, RAG, Lang chain, Llama, AI/ML, DL, NLP or Computer Vision, Python, Tensorflow, Pytorch, Django, Keras, Pandas, NumPy Preferred SkillAWS or GCP or Azure Cloud, MLOps, GPT-4, SQL, Scikit-learn, Matplotlib, Seaborn, Hadoop, Spark, or Apache Flink, Banking exposure Required Skill Programming LanguagesProficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc. Machine LearningStrong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning. Data ScienceExperience with data analysis, data visualization, and statistical modeling. Proficiency in using tools like Pandas, NumPy, Matplotlib, and Seaborn. Big Data TechnologiesFamiliarity with big data processing frameworks like Hadoop, Spark, or Apache Flink. Cloud PlatformsExperience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions. Natural Language Processing (NLP)Knowledge of NLP techniques and tools such as NLTK, SpaCy, or GPT-3. Computer VisionExperience with computer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN. Problem-SolvingStrong analytical and problem-solving skills with the ability to think critically and creatively. CommunicationExcellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Team CollaborationAbility to work effectively in a collaborative team environment and contribute to team success. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Assistant Vice President , AI ML Lead ! In this role, we are looking for candidates who have relevant years of experienc e in T ext M ining . The T ext M ining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer’s business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools . Responsibilities Develop transformative AI/ML solutions to address our clients' business requirements and challenges Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning Manage Stakeholder/Customer Expectations Project Blue Printing and Project Documentation Creating Project Plan Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc. Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap. Work with digital development teams to integrate and transform these algorithms into production quality applications Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers Qualifications we seek in you! Minimum Q ualifications / Skills MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms. Post-Graduation in MBA and Undergraduate degree in any engineering discipline, preferably Computer Science with relevant experience Full cycle experience desirable in atleast 1 Large Scale Text Mining/NLP project from creating a Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework Technology Open Source Text Mining paradigms such as NLTK, OpenNLP , OpenCalais , StanfordNLP , GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow , MS LUIS Exposure to Statistical Toolkits such as R, Weka, S -Plus, Matlab, SAS-Text Miner Strong Core Java experience in large scale product development and functional knowledge of RDBMs Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing Very good python /R programming skills. Java programming skills a plus Methodology Relevant years of experience in Solutioning & Consulting experience in verticals such as BFSI, CPG, with hands on delivering text analytics on large structured and unstructured data A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etc Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client’s analytics agenda with newer tools and techniques Preferred Q ualifications / Skills Technology Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods OpenNLP , OpenCalais , StanfordNLP , GATE, UIMA, Lucene, NoSQL UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3 Linux, Windows, GPU Experience Spark, Scala for distributed computing Deep learning frameworks such as TensorFlow, Keras , Torch, Theano Methodology Social Network modeling paradigms, tools & techniques Text Analytics using Natural Language Processing tools such as Support Vector Machines and Social Network Analysis Previous experience with Text analytics implementations, using open source packages and or SAS-Text Miner Ability to Prioritize, Consultative mindset & Time management skills Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Assistant Vice President Primary Location India-Bangalore Schedule Full-time Education Level Master's / Equivalent Job Posting Jun 9, 2025, 2:47:59 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

Note: Looking for Immediate Joiner. Job Title: Machine Learning Engineer (Gen AI and AI ML) Job Summary: Primary Skills • Master's degree from Computer science, Mathematics, Statistics and other relative disciplines • Experience using statistical computer languages (Python, R, etc.) to manipulate data and draw insights from large data sets. • Knowledge of a variety of machine learning techniques (clustering, decision trees, boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks. • Knowledge of popular ML and non-ML libraries: Tensorflow, Torch, Sklearn, Scipy, Xgboost,… • Knowledge of popular cloud infrastructure: Google Cloud, AWS, Microsoft Azure, … • Excellent written and verbal communication skills for coordinating across teams. • Experience in code management using Git Secondary Skills • Experience in Ecommerce or Advertising verticals is a plus • Experience on NLP, Time Series Forecasting, Computer vision, and other relative domains is a plus • Experience on popular NLP and Computer vision libraries is a plus: Spacy, NLTK, OpenCV, … • Experience on parallel computing and GPU acceleration is a plus • Experience on LLM’s utilization and fine tuning, GEN AI solutioning along with RAG is a must Mine and analyze data from company databases to drive optimization and improvement for product development, marketing techniques and business strategies.  Assess the effectiveness and accuracy of new data sources and data gathering techniques.  Transforming data science prototypes and applying appropriate algorithms and tools.  Develop custom ML and non-ML models and algorithms to apply to data sets.  Define the evaluation approach of models  Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.  Coordinate with different functional teams to implement models and monitor outcomes.  Keeping abreast of developments in corresponding domains Note: Looking for Immediate Joiner only. Show more Show less

interface.ai is the industry's-leading specialized AI provider for banks and credit unions, serving over 100 financial institutions. The company's integrated AI platform offers a unified banking experience through voice, chat, and employee-assisting solutions, enhanced by cutting-edge proprietary Generative AI. Our mission is clear: to transform the banking experience so every consumer enjoys hyper-personalized, secure, and seamless interactions, while improving operational efficiencies and driving revenue growth. interface.ai offers pre-trained, domain-specific AI solutions that are easy to integrate, scale, and manage, both in-branch and online. Combining this with deep industry expertise, interface.ai is the AI solution for banks and credit unions that want to deliver exceptional experiences and stay at the forefront of AI innovation. Role Overview We are looking for a Software Development Engineer II (SDE II) with 2–4 years of experience, including hands-on involvement in at least one AI/ML/NLP-based project. This role focuses on building intelligent internal systems that leverage AI to automate complex workflows and enhance internal efficiencies. You will be working at the intersection of backend engineering, machine learning, and platform design—crafting intelligent systems that support business operations at scale. What You’ll Do Design, develop, and maintain AI-powered internal tools that drive automation and operational intelligence. Build and integrate machine learning or NLP components to extract insights and drive decision-making across systems. Collaborate cross-functionally with product, data, and operations teams to identify opportunities for AI-driven enhancements. Develop scalable services and APIs using JavaScript/Node.js, Python, or related technologies. Ensure systems are reliable, observable, and maintainable in production environments. Stay current with emerging trends in AI and apply best practices to real-world business problems. What We’re Looking For 2–4 years of experience in software engineering with strong backend development skills. Proven experience working on at least one AI, ML, or NLP-based application or system. Proficiency in JavaScript (Node.js) and scripting languages such as Python. Solid understanding of machine learning workflows, NLP libraries (e.g., spaCy, HuggingFace, NLTK), or LLM integrations. Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools like Docker/Kubernetes. Good understanding of software engineering fundamentals, system design, and application lifecycle. Excellent analytical and debugging skills, with a problem-solving mindset. Experience with version control (Git) and CI/CD pipelines. Strong verbal and written communication skills; ability to work effectively in cross-functional teams. Nice to Have Exposure to infrastructure-as-code, observability tools, or performance tuning. Experience with cloud-native services (e.g., AWS Lambda, S3, SQS, DynamoDB). Prior experience in startups or high-growth environments. Knowledge of financial services or familiarity with core banking systems (a plus, not required). At interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible. Show more Show less

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your role As a Senior Data Scientist, you are expected to develop and implement Artificial Intelligence based solutions across various disciplines for the Intelligent Industry vertical of Capgemini Invent. You are expected to work as an individual contributor or along with a team to help design and develop ML/NLP models as per the requirement. You will work closely with the Product Owner, Systems Architect and other key stakeholders right from conceptualization till the implementation of the project. You should take ownership while understanding the client requirement, the data to be used, security & privacy needs and the infrastructure to be used for the development and implementation. The candidate will be responsible for executing data science projects independently to deliver business outcomes and is expected to demonstrate domain expertise, develop, and execute program plans and proactively solicit feedback from stakeholders to identify improvement actions. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams. The role also requires the candidate to collaborate on ML asset creation and eager to learn and impart trainings to fellow data science professionals. We expect thought leadership from the candidate, especially on proposing to build a ML/NLP asset based on expected industry requirements. Experience in building Industry specific (e.g. Manufacturing, R&D, Supply Chain, Life Sciences etc), production ready AI Models using microservices and web-services is a plus. Programming Languages – Python – NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases – RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks – SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud – Azure/AWS/GCP Your Profile Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow – CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning – Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches – Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP – Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Model Deployment – ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Required Qualifications: Master’s degree in a quantitative field such as Mathematics, Statistics, Machine Learning, Computer Science or Engineering or a bachelor’s degree with relevant experience. Good experience in programming with languages such as Python/Java/Scala, SQL and experience with data visualization tools like Tableau or Power BI. Preferred Experience: Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. Presupposition: High Impact client communication The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. 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. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Show more Show less

About Company: Phoenix Code Crafter Pvt Ltd . is a dynamic IT solutions subsidiary of Phoenix Assurance Pvt Ltd. , specializing in innovative software development tailored specifically for the Insuranc e Industry, healthcare sector, Third Party Administrator (TPA), and Third-party audit companies. Leveraging cutting-edge technology and deep domain expertise, the company delivers unique, transformative software solutions that address complex operational challenges and drive digital transformation for its clients. With a commitment to excellence and technological innovation, Phoenix Code Crafter empowers organizations to enhance their efficiency, productivity, and service delivery through sophisticated, custom-built IT solutions. 📍 Job Location: 1005 - 1015 10th Floor Shilp Zaveri Building, Ahmedabad, Gujarat 380015 Eligibility: BE in Computer Science, MCA, or an equivalent degree Experience: 4-8 Years Salary: Best in Industry (On the basis of Experience) Joining: Immediate Job Summary We are looking for a Senior Full Stack Java Developer with 4 to 8 years of experience to join our team. The ideal candidate should have expertise in Spring Boot, Microservices, and Docker for backend development and React.js/Angular for frontend development. The role also requires experience with PostgreSQL/ClickHouse , and DevOps tools. Key Responsibilities Develop and maintain Java-based microservices using Spring Boot Design and build user-friendly front-end applications using React.js/Angular Deploy and manage containerized applications using Docker Manage and optimize PostgreSQL OR ClickHouse databases Implement CI/CD pipelines for automated deployments Use Git/GitHub for version control and collaboration Optimize application performance on both frontend and backend Collaborate with cross-functional teams to deliver high-quality software Required Skills & Experience: ✔ 4-8 years of experience in Full Stack development ✔ Strong backend experience with Java, Spring Boot & Microservices architecture ✔ Hands-on frontend experience with React.js/Angular ✔ Proficiency in Docker for containerization ✔ Expertise in PostgreSQL and ClickHouse databases ✔ Familiarity with CI/CD tools , IntelliJ , Git , and GitHub ✔ Strong problem-solving, teamwork, communication, and leadership skills Optional/Preferred Technical Skills Experience with building and deploying language model applications using LangChain.. Proficiency in NLP techniques and tools (e.g., NLTK, Spacy, Hugging Face Transformers). Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Experience with NoSQL databases such as MongoDB or Cassandra. Experience with containerization tools like Docker. Proficiency in version control systems like Git. Experience with multi-agent systems and autonomous agent behaviour design. Knowledge of agent-based simulation techniques and their integration with AI/ML models. Soft Skills Strong research and development abilities. Self-driven with a proactive approach to work. Ability to collaborate with stakeholders to understand and deliver on technical requirements. Excellent problem-solving and analytical skills. Effective communication and teamwork abilities. Career Growth: · Opportunity to advance into a Lead Developer or Architect role Contact Person: Pooja Kumari: HR Executive Mobile number: 9142955670 Show more Show less

Opportunities: Full-time remote or work-from-home Day shift, AEST Health Insurance Career Growth About the Role: We are looking for a passionate and motivated individual to join our team as an AI & Data Science Engineer. If you have a strong foundation in Python programming, SQL, and working with APIs, and are eager to learn and grow in the field of Artificial Intelligence (AI), Natural Language Processing (NLP), and Machine Learning (ML), this role is perfect for you! As part of our team, you will have the opportunity to work on cutting-edge AI technologies, including generative AI models, and develop solutions that solve real-world problems. Key Responsibilities: Learn and contribute to the design and development of AI and machine learning models. Work with structured and unstructured data to uncover insights and build predictive models. Assist in creating NLP solutions for tasks like text classification, sentiment analysis, and summarisation. Gain hands-on experience in deep learning for image processing, speech recognition, and generative AI. Write clean and efficient Python code for data analysis and model development. Work with SQL databases to retrieve and analyse data. Learn how to integrate APIS into AI workflows. Explore Generative AI technologies (e.g., GPT, DALL·E) and contribute to innovative solutions. Collaborate with senior team members to develop impactful AI-powered applications. Document your findings and contribute to knowledge-sharing within the team. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. Strong Python programming skills and familiarity with libraries like Pandas, NumPy, and Matplotlib. Basic knowledge of SQL for data manipulation and extraction. Understanding of Machine Learning concepts and algorithms. Interest in Natural Language Processing (NLP) and familiarity with tools like spaCy, NLTK, or Hugging Face is a plus. Willingness to learn and work with Deep Learning frameworks such as TensorFlow or PyTorch. Problem-solving mindset with the ability to work independently and within a team. Good communication skills and enthusiasm for learning new technologies. Technical requirements: Windows 11 operating system or MacOS 13+ 256GB Storage space - minimum 16GB RAM - minimum Dual Core CPU - minimum Camera: HD Webcam (720p) Headset: Noise-cancelling (preferably) Internet Speed: 50 Mbps - minimum Why Join Us? Opportunity to work on cutting-edge data science, machine learning, and AI projects. A collaborative and inclusive work environment that values continuous learning and innovation. Access to resources and mentorship to enhance your skills in NLP, ML, DL, and Generative AI . Competitive compensation package and growth opportunities. Note: Include your LinkedIn Account in your Resume About The Company: Freedom Property Investors is the largest and number one property investment company in Australia, with its main offices in the Sydney and Melbourne CBDs. We were awarded the 3rd fastest-growing business in Australia across all industries according to the Australian Financial Review. We are privileged to have 25+ years of combined experience between our two founders, who served over 10,000 valued members and over 300 full-time staff spread across Australia and growing. We pride ourselves on being the industry leaders. It is our mission to serve our valued members, earning over 2,054 positive Google reviews and a 4.8 Star rating, this is unheard of in our industry. We are in need of people who share the same values as we do. This opportunity is open to all driven individuals who are committed to helping people and earning life-changing income. Join Australia’s largest and number 1 property investment team and contribute to our mission to help Australians achieve their goals of financial freedom every day. Apply now!!! Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: Job Description: Skill: Agentic Powered Automation (APA) Hands-on Experience With: Building and deploying autonomous agents LangChain framework for developing applications Retrieval Augmented Generation (RAG) systems Large Language Models (LLMs) and their APIs Solid understanding of safety principles and best practices Resolving Hallucinations in the outcomes Technical Skills Advanced Python programming with expertise in async programming and API development Experience with vector databases and embedding models Proficiency in implementing RAG pipelines and knowledge retrieval systems Familiarity with prompt engineering and LLM optimization techniques Experience with development frameworks and tools Knowledge of modern software development practices (Git, CI/CD, testing) Key Responsibilities Design and implement autonomous agents using LangChain / Crew.ai / SK / Autogen and other relevant frameworks Develop and optimize RAG systems for improved information retrieval and response generation Create robust evaluation frameworks for testing agent performance and safety Implement monitoring and logging systems for agent behavior Develop documentation and best practices for agent development Contribute to the improvement of agent architecture and capabilities Preferred Skills Experience with: Multiple LLM providers (OpenAI, Anthropic, etc.) Tools for agent orchestration and workflow management Natural Language Processing (NLP) techniques Container technologies (Docker, Kubernetes) Understanding of semantic search and information retrieval concepts Knowledge of agent alignment and safety considerations Mandatory skill sets: Agentic Powered Automation (APA) Preferred skill sets: Agentic Powered Automation (APA) Years of experience required: 3-4 Years Education qualification: BE, B.Tech, MCA, M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field Of Study Preferred: Certifications (if blank, certifications not specified) Required Skills Microsoft Power Automate Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Bangalore, India Hyderabad, India Chennai, India Job ID: R-1075847 Apply prior to the end date: August 8th, 2025 When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What you’ll be doing... As a DMTS (AI Science) you will own and drive end to end solutions for Cognitive and Gen AI driven use cases. Working on designing and building scalable cognitive and generative AI solutions to meet the needs of given Business engagement. Providing technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Working in collaborative environment with global teams to drive solutioning of business problems. Developing end to end analytical solutions, and articulating insights to leadership. Provide data-driven recommendations to business by clearly articulating complex modeling concepts through generation and delivery of presentations. Analyzing and model both structured and unstructured data from a number of distributed client and publicly available sources. Assisting with the mentorship and development of Junior members. Drive team towards solutions. Assisting in growing data science practice in Verizon, by meeting business goals through client prospecting, responding to model POC, identifying and closing opportunities within identified Insights, writing white papers, exploring new tools and defining best practices. What we’re looking for... You have strong ML/NLP/GenAI skills and are eager to work in a collaborative environment with global teams to drive NLP/GenAI application in business problems. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various stakeholders and cross functional teams to implement data science driven business solutions. You take pride in your role as a data scientist and evangelist and enjoy adding to the systems, concepts and models that enrich the practice. You enjoy mentoring and empowering the team to expand their technical capabilities. You’ll need to have: Bachelor’s degree or four or more years of work experience. Six or more years of work experience. Data Scientist and thought leader with experience in implementing production use cases in Gen AI and Cognitive. Ten or more years of hands-on experience on implementation of large-scale NLP Projects and Fine tuning & Evaluation of LLMs for downstream tasks such as text generation, Classification, summarization, question answering, entity extraction etc. Working knowledge of Agentic AI frameworks like LangChain, LangGraph, CrewAI etc. Ability to guide the team to correctly analyze cognitive insights and leverage unstructured conversational data to create transformative, intelligent, context aware and adaptive AI systems. Experience in Machine Learning, Deep Learning model development & deployment from scratch in Python. Working knowledge of NLP frameworks and libraries like NLTK, Spacy, Transformers, Pytorch, Tensorflow, hugging face API's. Working knowledge of various supervised and unsupervised ML algorithms. Should know the various data preprocessing techniques and its impact on algorithm's accuracy, precision and recall. Knowledge & Implementation Experience of Deep Learning i.e Convolutional Neural Nets (CNN), Recursive Neural Nets (RNN) & Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), Deep Reinforcement Learning. Experience with RESTful, JSON API services. Working knowledge on Word embeddings, TF-IDF, Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context. Experience in analyzing Live Chat/call conversation with agents. Expertise in Python, Sql, PySpark, Scala and/or other languages and tools. Understanding of validation framework for generative model output and perspective on future ready systems to scale validation. Familiarity with GPU/CPU architecture and distributed computing and general infra needs to scale Gen AI models Ability to provide technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Even better if you have one or more of the following: Phd or an advanced degree or specialization in Artificial Intelligence If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Apply Now Save Saved Open sharing options Share Related Jobs Principal Engineer-AI Science Save Bangalore, India, +2 other locations Technology Engineer III Specialist-AI Science Save Hyderabad, India, +2 other locations Technology Senior Engineer Consultant-AI Science Save Chennai, India, +1 other location Technology Shaping the future. Connect with the best and brightest to help innovate and operate some of the world’s largest platforms and networks.

Responsibilities: Collaborate with cross-functional teams on project requirements & deliverables. Design, develop, test & maintain Python apps using Django/Flask & AWS/Azure Cloud.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your role Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Graph Analytics Familiarity with Graph Algorithms (Directed & Undirected) Traversal (BFS, DFS), Cycle Detection (Bellman Ford, Flyod Warshall), Shortest Path (Dijkstra, A*) etc. Building Knowledge Graphs with unstructured data and knowledge graph optimizations like PageRank/TrustRank is expected Mathematical Optimization Familiarity with common optimization algorithms, both discrete Linear, Mixed-Integer, Goal, Dynamic etc and continuous GD and its variants, Newtons method etc. is expected. Experience with Simulated Annealing and exposure to ML inspired evolutionary optimization algorithms like Genetic Algorithm & Genetic Programming for optimization is a plus. Simulations Monte Carlo Simulation, Discrete-Event Simulation, Agent-Based Simulation, Hybrid Simulation, System Dynamics, Genetic Algorithm based Simulation. Model Deployment ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Your Profile Programming Languages Python NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud Azure/AWS/GCP Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. 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. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... As a DMTS (AI Science) you will own and drive end to end solutions for Cognitive and Gen AI driven use cases. Working on designing and building scalable cognitive and generative AI solutions to meet the needs of given Business engagement. Providing technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Working in collaborative environment with global teams to drive solutioning of business problems. Developing end to end analytical solutions, and articulating insights to leadership. Provide data-driven recommendations to business by clearly articulating complex modeling concepts through generation and delivery of presentations. Analyzing and model both structured and unstructured data from a number of distributed client and publicly available sources. Assisting with the mentorship and development of Junior members. Drive team towards solutions. Assisting in growing data science practice in Verizon, by meeting business goals through client prospecting, responding to model POC, identifying and closing opportunities within identified Insights, writing white papers, exploring new tools and defining best practices. What We’re Looking For... You have strong ML/NLP/GenAI skills and are eager to work in a collaborative environment with global teams to drive NLP/GenAI application in business problems. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various stakeholders and cross functional teams to implement data science driven business solutions. You take pride in your role as a data scientist and evangelist and enjoy adding to the systems, concepts and models that enrich the practice. You enjoy mentoring and empowering the team to expand their technical capabilities. You’ll Need To Have Bachelor’s degree or four or more years of work experience. Six or more years of work experience. Data Scientist and thought leader with experience in implementing production use cases in Gen AI and Cognitive. Ten or more years of hands-on experience on implementation of large-scale NLP Projects and Fine tuning & Evaluation of LLMs for downstream tasks such as text generation, Classification, summarization, question answering, entity extraction etc. Working knowledge of Agentic AI frameworks like LangChain, LangGraph, CrewAI etc. Ability to guide the team to correctly analyze cognitive insights and leverage unstructured conversational data to create transformative, intelligent, context aware and adaptive AI systems. Experience in Machine Learning, Deep Learning model development & deployment from scratch in Python. Working knowledge of NLP frameworks and libraries like NLTK, Spacy, Transformers, Pytorch, Tensorflow, hugging face API's. Working knowledge of various supervised and unsupervised ML algorithms. Should know the various data preprocessing techniques and its impact on algorithm's accuracy, precision and recall. Knowledge & Implementation Experience of Deep Learning i.e Convolutional Neural Nets (CNN), Recursive Neural Nets (RNN) & Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), Deep Reinforcement Learning. Experience with RESTful, JSON API services. Working knowledge on Word embeddings, TF-IDF, Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context. Experience in analyzing Live Chat/call conversation with agents. Expertise in Python, Sql, PySpark, Scala and/or other languages and tools. Understanding of validation framework for generative model output and perspective on future ready systems to scale validation. Familiarity with GPU/CPU architecture and distributed computing and general infra needs to scale Gen AI models Ability to provide technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Even better if you have one or more of the following: Phd or an advanced degree or specialization in Artificial Intelligence If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

Description We are seeking an experienced Python Data Science Trainer cum Developer to lead our advanced AI engineering and data science course, inspiring the next generation of data scientists. The ideal candidate will have a strong background in Python programming, machine learning, deep learning, and Django web development and be enthusiastic about teaching these concepts effectively. Roles and Responsibilities 1. Instruct students in Python, data science, machine learning, deep learning, and natural language processing (NLP) concepts. 2. Conduct hands-on sessions covering data handling, SQL, model evaluation, and full-stack web development with Django. 3. Mentor students, guiding them through weekly projects and exercises to reinforce learning. 4. Lead students in designing and deploying real-world projects, with a focus on machine learning and NLP. 5. Stay current with data science advancements to integrate the latest tools and techniques into the course. Required Skills and Experience 1. Experience: 1 year to 2 years in data science, with hands-on expertise in Python, machine learning, and deep learning. 2. Technical Proficiency: Knowledgeable in libraries like Numpy, Pandas, scikit-learn, TensorFlow, and PyTorch. 3. Machine Learning Expertise: Experience in model development, tuning, and evaluation. 4. NLP Frameworks: Familiarity with tools like NLTK, SpaCy, or Hugging Face Transformers. 5. Web Development with Django: Skilled in REST APIs and SQL database integration. 6. Communication: Able to break down complex concepts into engaging, understandable lessons. 7. Mentorship: Passionate about teaching, with strong communication skills. Qualifications 1. Educational Background: Bachelor’s degree in Computer Science, Data Science, or a related field (Master’s preferred). 2. Certifications: Certification in data science or machine learning (e.g., Data Science Professional Certificate) is a plus. 3. Training Experience: Prior instructional design or training experience preferred. Job Type: Full-time Pay: ₹12,000.00 - ₹30,000.00 per month Schedule: Day shift Work Location: In person

Responsibilities: Design and implement scalable, maintainable, and high-performance software systems. Define architecture for AI-enabled applications and services. Develop and deploy machine learning models using Python libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Evaluate model performance and fine-tune algorithms based on business requirements. Integrate AI models into production environments. Write clean, modular, and efficient Python code. Use Python for backend APIs, data processing pipelines, and scripting automation. Utilize frameworks like Django, Flask, or FastAPI when needed. Design and manage data pipelines and ETL processes for AI applications. Work with databases (SQL and NoSQL), APIs, and cloud storage systems. Conduct code reviews to ensure adherence to best practices and coding standards. Maintain and improve existing codebases. Build and train custom models for NLP, computer vision, recommendation systems, etc. Perform exploratory data analysis and feature engineering. Stay updated with the latest AI research and implement new techniques Propose innovative AI-driven solutions to business problems. Mentor junior developers and guide them in AI and software development. Lead technical discussions and peer-learning sessions. Collaborate with product managers, designers, and other stakeholders to define requirements and timelines. Break down complex tasks into manageable deliverables and delegate accordingly. Participate in agile ceremonies (daily standups, sprint planning, retrospectives). Ensure timely delivery of project milestones. Deploy AI services using cloud platforms (AWS, Azure, GCP). Use Docker, Kubernetes, CI/CD tools for automated deployment and scalability. Python Libraries: NumPy, Pandas, TensorFlow, PyTorch, Scikit-learn, OpenCV, NLTK, SpaCy Web: Flask, FastAPI, Django Data/Storage: PostgreSQL, MongoDB, Redis, S3 DevOps: Docker, Git, Jenkins, Kubernetes Cloud: AWS SageMaker, Azure ML, Google AI Platform Job Types: Full-time, Permanent Pay: ₹35,000.00 - ₹40,000.00 per month Benefits: Paid sick time Schedule: Day shift Weekend availability Supplemental Pay: Yearly bonus Experience: total work: 1 year (Required) Work Location: In person Application Deadline: 22/06/2025 Expected Start Date: 25/06/2025

TCS is conducting Virtual drive on Friday dated 11th June, 2025 Position: AI Engineer Location: Pune Years of Experience: 5-9 yrs(Accurate) Notice Period: Immediate Joiners or 0-30 days NP (Note: Candidates sharing details below experience range will not be considered) Responsibilities: Strong understanding of machine learning techniques, including deep learning, reinforcement learning, and predictive modeling. Demonstrable experience in AI, ML, NLP, or related fields, with a robust portfolio showcasing practical application of these technologies. Proficient in Python and familiar with frameworks for AI development, such as TensorFlow, PyTorch, Keras, scikit-learn, NLTK, Lang chain. Experience in utilizing Python libraries such as NumPy, Pandas, Matplotlib, Plotly Proficient in programming languages such as Python Experience with ML, deep learning, TensorFlow, Python, NLP Experience in program leadership, governance, and change enablement Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns Experience in REST API development, NoSQL database design, and RDBMS design and optimizations Familiarity with modern data platforms and cloud services like AWS, Azure for deploying scalable AI solutions. Kindly attach your updated CVs Thanks & Regards Shilpa Silonee Show more Show less

Company Profile: Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com. Job Title: Machine Learning Engineer Position: Senior Systems Engineer Experience: 3-8 years Category: Software Development/ Engineering Shift: 12:30 AM IST to 9:30 PM IST Main location: Bangalore Position ID: J0525-1644 Employment Type: Full Time Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 3 years of relevant experience. Position Description:. Must have skills : Must have experience in Programming Language (Python, R). Machine learning frameworks: scikit-learn, TensorFlow, PyTorch, or Keras. NLP Libraries : NLTK, spaCy, or Stanford CoreNLP. Data analysis and visualization tools: Pandas, NumPy, Matplotlib, or Seaborn. Experience with cloud-based platforms: AWS, Azure, or Google Cloud. Must have 3+ years of relevant experience in machine learning, NLP, or a related field. Experience with automated process development, deployment, and maintenance. Should be familiar with ticketing systems and auditing processes is a plus. Soft Skills : Excellent communication and collaboration skills. Ability to work in a fast-paced environment and adapt to changing requirements. Strong problem-solving skills and attention to detail. Good to have skills : 1. Experience with containerization: Docker, Kubernetes, or other containerization tools. 2. Familiarity with DevOps practices: Agile development, continuous integration, and continuous deployment. 3. Knowledge of IT service management: ITIL, COBIT, or other IT service management frameworks. 4. Certifications: Certified Data Scientist, Certified Machine Learning Engineer, or other relevant certifications. CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs. Life at CGI: It is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons Come join our team, one of the largest IT and business consulting services firms in the world Your future duties and responsibilities Required qualifications to be successful in this role Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

We are looking for a passionate Python IOT developer to join our team at Magneto Dynamics. About Magneto Dynamics – From a humble beginning in 1989 , we have come a long way in quest for innovation. For us , Quality has been a way of life , inbuilt in our system . Our Business profile expanded with our quest for niche and innovative applications and we ventured out to successfully develop intricate sub assemblies and parts of Flow meters for our OEM customer in US and Europe. These include complete assembly of components which are so unique to the industry. Our parts range from complex assemblies like Clutch Calibrators, Pickup sensors to high precision Turbine Rotors, and other critical flow meter related parts. We now operate on a mixed model of design, manufacturing, assembly and outsourcing. From Aluminum and Zinc casting to Stainless Steel machining, we are involved in the entire gamut of servicing any of our customer needs. Our Specialization involves work related to casting, molding, machining, precision fabrication for high precision and high end applications. We have special purpose Wire EDM machine and CNC machines for making precision parts. We also develop customized testing facility and fixtures meeting customer's needs. We are geared up to bring out precision parts utilizing most modern technologies by use of Solid Modelling, CNC turn mills , and VMCs . Our Infrastructure is well established with lean manufacturing concepts. As an ISO 9001 certified company, we are focused on establishing a good Quality system in place. Our Policy is to minimize waste in supply chain leading to tangible benefits to our customers. Strong Management Culture is inbuilt in our system with a clear objective to Delight Customers. With a built-up space of 7000 Sqft on a 12000 sqft own land, a supportive base of vendors and other business associates our ecosystem is quite prepared for all expansion plans. Job Profile- You will be responsible for developing and implementing high-quality software solutions, creating complex applications using cutting-edge programming features and frameworks and collaborating with other teams in the firm to define, design and ship new features. As an active part of our company, you will brainstorm and chalk out solutions to suit our requirements and meet our business goals. You will also be working on data engineering problems and building data pipelines. You would get ample opportunities to work on challenging and innovative projects, using the latest technologies and tools. If you enjoy working in a fast-paced and collaborative environment, we encourage you to apply for this exciting role. We offer industry-standard compensation packages, relocation assistance, and professional growth and development opportunities. Objectives of this role · Develop, test and maintain high-quality software using Python and Embedded C programming language. · Participate in the entire software development lifecycle, building, testing and delivering high-quality solutions. · Collaborate with cross-functional teams to identify and solve complex problems. · Write clean and reusable code that can be easily maintained and scaled. Your tasks- · Create large-scale IOT / Embedded Applications. · Participate in code reviews, ensure code quality and identify areas for improvement to implement practical solutions. · Debugging codes when required and troubleshooting any Python-related queries. · Keep up to date with emerging trends and technologies in Python development. Required skills and qualifications- · Bachelor's degree in Computer Science, Software Engineering or a related field.(Freshers) · Strong Programming Fundamentals. · In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. · Familiarity with front-end development using HTML, CSS, and JavaScript. · Familiarity with database technologies such as SQL and MySQL. · Excellent problem-solving ability with solid communication and collaboration skills. Interview Date: 09-06-2025 Interview Time: 10am onwards Contact Person: Antony Peter - 9962048534 Interview Venue: Talent Pursuits. Magneto Dynamics No 7,8,9 Venkateswar Ngr Main Road, Perungudi, Chennai, Tamil Nadu 600096 Google Map Link: https://goo.gl/maps/TSStgJfA7B7c7DMj7 Job Types: Full-time, Permanent Pay: Up to ₹150,000.00 per year Benefits: Provident Fund Schedule: Day shift Work Location: In person

We are looking for a passionate Python IOT developer to join our team at Magneto Dynamics. About Magneto Dynamics – From a humble beginning in 1989 , we have come a long way in quest for innovation. For us , Quality has been a way of life , inbuilt in our system . Our Business profile expanded with our quest for niche and innovative applications and we ventured out to successfully develop intricate sub assemblies and parts of Flow meters for our OEM customer in US and Europe. These include complete assembly of components which are so unique to the industry. Our parts range from complex assemblies like Clutch Calibrators, Pickup sensors to high precision Turbine Rotors, and other critical flow meter related parts. We now operate on a mixed model of design, manufacturing, assembly and outsourcing. From Aluminum and Zinc casting to Stainless Steel machining, we are involved in the entire gamut of servicing any of our customer needs. Our Specialization involves work related to casting, molding, machining, precision fabrication for high precision and high end applications. We have special purpose Wire EDM machine and CNC machines for making precision parts. We also develop customized testing facility and fixtures meeting customer's needs. We are geared up to bring out precision parts utilizing most modern technologies by use of Solid Modelling, CNC turn mills , and VMCs . Our Infrastructure is well established with lean manufacturing concepts. As an ISO 9001 certified company, we are focused on establishing a good Quality system in place. Our Policy is to minimize waste in supply chain leading to tangible benefits to our customers. Strong Management Culture is inbuilt in our system with a clear objective to Delight Customers. With a built-up space of 7000 Sqft on a 12000 sqft own land, a supportive base of vendors and other business associates our ecosystem is quite prepared for all expansion plans. Job Profile- You will be responsible for developing and implementing high-quality software solutions, creating complex applications using cutting-edge programming features and frameworks and collaborating with other teams in the firm to define, design and ship new features. As an active part of our company, you will brainstorm and chalk out solutions to suit our requirements and meet our business goals. You will also be working on data engineering problems and building data pipelines. You would get ample opportunities to work on challenging and innovative projects, using the latest technologies and tools. If you enjoy working in a fast-paced and collaborative environment, we encourage you to apply for this exciting role. We offer industry-standard compensation packages, relocation assistance, and professional growth and development opportunities. Objectives of this role · Develop, test and maintain high-quality software using Python and Embedded C programming language. · Participate in the entire software development lifecycle, building, testing and delivering high-quality solutions. · Collaborate with cross-functional teams to identify and solve complex problems. · Write clean and reusable code that can be easily maintained and scaled. Your tasks- · Create large-scale IOT / Embedded Applications. · Participate in code reviews, ensure code quality and identify areas for improvement to implement practical solutions. · Debugging codes when required and troubleshooting any Python-related queries. · Keep up to date with emerging trends and technologies in Python development. Required skills and qualifications- · Bachelor's degree in Computer Science, Software Engineering or a related field.(Freshers) · Strong Programming Fundamentals. · In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. · Familiarity with front-end development using HTML, CSS, and JavaScript. · Familiarity with database technologies such as SQL and MySQL. · Excellent problem-solving ability with solid communication and collaboration skills. Interview Date: 09-06-2025 Interview Time: 10am onwards Contact Person: Antony Peter - 9962048534 Interview Venue: Talent Pursuits. Magneto Dynamics No 7,8,9 Venkateswar Ngr Main Road, Perungudi, Chennai, Tamil Nadu 600096 Google Map Link: https://goo.gl/maps/TSStgJfA7B7c7DMj7 Job Types: Full-time, Permanent Pay: Up to ₹150,000.00 per year Benefits: Provident Fund Schedule: Day shift Work Location: In person

Working as an AI/ML Engineer at Navtech, you will: * Design, develop, and deploy machine learning models for classification, regression, clustering, recommendations, or NLP tasks. Clean, preprocess, and analyze large datasets to extract meaningful insights and features. Work closely with data engineers to develop scalable and reliable data pipelines. Experiment with different algorithms and techniques to improve model performance. Monitor and maintain production ML models, including retraining and model drift detection. Collaborate with software engineers to integrate ML models into applications and services. Document processes, experiments, and decisions for reproducibility and transparency. Stay current with the latest research and trends in machine learning and AI. Who Are We Looking for Exactly? * 2–4 years of hands-on experience in building and deploying ML models in real-world applications. Strong knowledge of Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar. Experience with data preprocessing, feature engineering, and model evaluation techniques. Solid understanding of ML concepts such as supervised and unsupervised learning, overfitting, regularization, etc. Experience working with Jupyter, pandas, NumPy, and visualization libraries like Matplotlib or Seaborn. Familiarity with version control (Git) and basic software engineering practices. You consistently demonstrate strong verbal and written communication skills as well as strong analytical and problem-solving abilities You should have a master’s degree /Bachelors (BS) in computer science, Software Engineering, IT, Technology Management or related degrees and throughout education in English medium. We’ll REALLY love you if you: * Have knowledge of cloud platforms (AWS, Azure, GCP) and ML services (SageMaker, Vertex AI, etc.) Have knowledge of GenAI prompting and hosting of LLMs. Have experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK). Have familiarity with MLOps tools and practices (MLflow, DVC, Kubeflow, etc.). Have exposure to deep learning and neural network architectures. Have knowledge of REST APIs and how to serve ML models (e.g., Flask, FastAPI, Docker). Why Navtech? * Performance review and Appraisal Twice a year. Competitive pay package with additional bonus & benefits. Work with US, UK & Europe based industry renowned clients for exponential technical growth. Medical Insurance cover for self & immediate family. Work with a culturally diverse team from different geographies. About Us Navtech is a premier IT software and Services provider. Navtech’s mission is to increase public cloud adoption and build cloud-first solutions that become trendsetting platforms of the future. We have been recognized as the Best Cloud Service Provider at GoodFirms for ensuring good results with quality services. Here, we strive to innovate and push technology and service boundaries to provide best-in-class technology solutions to our clients at scale. We deliver to our clients globally from our state-of-the-art design and development centers in the US & Hyderabad. We’re a fast-growing company with clients in the United States, UK, and Europe. We are also a certified AWS partner. You will join a team of talented developers, quality engineers, product managers whose mission is to impact above 100 million people across the world with technological services by the year 2030. Navtech is looking for a AI/ML Engineer to join our growing data science and machine learning team. In this role, you will be responsible for building, deploying, and maintaining machine learning models and pipelines that power intelligent products and data-driven decisions. Show more Show less

Job Summary As a Data Scientist specializing in NLP, Generative AI, and Cloud technologies, you will be responsible for designing, developing, and deploying data extraction pipelines from documents. You will use state-of-the-art machine learning models, NLP techniques, and cloud platforms to improve automation, data quality, and overall decision-making processes. This role requires strong technical expertise, creative problem-solving, and hands-on experience with cloud technologies. Key Responsibilities Design and implement advanced NLP models to extract structured data from unstructured document formats (e.g., PDFs, Word, scanned images, emails, etc.). Leverage Generative AI techniques for data enhancement, content summarization, and document generation where necessary. Develop, fine-tune, and deploy machine learning models to enhance document understanding and automate data extraction processes. Collaborate with engineering teams to integrate NLP models into cloud-based data pipelines and workflows (AWS, Azure, or GCP). Build scalable and efficient data extraction workflows, ensuring high accuracy and performance of models. Conduct end-to-end data science activities, from data collection, cleaning, and exploration, to feature engineering and model deployment. Ensure the security, scalability, and compliance of data processing solutions deployed in the cloud. Evaluate and improve existing document extraction tools and processes, suggesting innovative solutions. Stay updated on the latest trends in NLP, Generative AI, and Cloud technologies, applying these advancements to enhance model performance and operational efficiency. Required Skills & Qualifications Minimum of 5 years of hands-on experience in Data Science, with a focus on NLP, machine learning, and AI. Strong proficiency in Python and libraries like SpaCy, NLTK, Hugging Face Transformers, and TensorFlow/PyTorch. Deep knowledge of document processing techniques, including OCR, text extraction, and document classification. Experience with Generative AI models (e.g., GPT, BERT) and their application in data extraction or document processing tasks. Expertise in cloud technologies (AWS, Azure, GCP) for building and deploying data-driven solutions. Proficiency in data manipulation and analysis using libraries like Pandas, NumPy, and SQL. Hands-on experience with model deployment frameworks and tools like Docker, Kubernetes, or MLFlow. Familiarity with version control (Git), CI/CD processes, and Agile development practices. Strong problem-solving skills, with the ability to design innovative solutions for complex document extraction challenges. Excellent communication skills and ability to work in cross-functional teams. Preferred Qualifications Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, or related field. Experience with Large Language Models (LLMs) and advanced NLP techniques such as transfer learning and few-shot learning. Familiarity with document management systems (DMS) or enterprise content management (ECM) platforms. Experience with deploying and scaling machine learning models in production environments. Understanding of data privacy regulations and secure processing of sensitive information. Show more Show less

About The Role: Grade Level (for internal use): 12 About The Role Title : AI Product Manager Grade Level : 12 We’re seeking an AI Product Manager to lead the development of a data intelligence platform that links, enriches, and unifies datasets from disparate sources. You will sit at the intersection of engineering, data, and business — shaping product strategy and driving execution to bring scalable and high-impact data workflows to life. This is a hands-on role for someone who can write technical specs, prototype solutions, and collaborate closely with engineers while keeping a sharp eye on product-market fit and user experience. You'll be at the forefront of a rapidly evolving field, learning and growing alongside some of the brightest minds in the industry. If you're passionate about AI, driven to make an impact, and thrive in a dynamic and supportive workplace, we encourage you to join us! The Team You’ll work alongside a lean but high-performing team of developers, QA, and data experts building a modern data platform. Our mission is to automate how data from multiple sources is linked and consumed, enabling clients to eliminate duplication, reduce manual work, and drive insight. You’ll be the key driver of product thinking and delivery — guiding what we build, why we build it, and how we scale it. Responsibilities Own the end-to-end product lifecycle: from problem discovery and user research to release and feedback loops. Define product requirements and technical specifications for data ingestion, entity resolution, and linking workflows. Collaborate with engineers to translate business logic into scalable technical solutions. Prioritize features based on business value, customer feedback, and technical feasibility. Write user stories, product briefs, and technical documentation to ensure clarity across stakeholders. Understand customer datasets and workflows deeply to inform intelligent defaults and product design. Partner with QA and engineering to ensure features are testable, verifiable, and performant. Set and monitor success metrics for product adoption, accuracy, and speed. Manage internal and external feedback loops to drive continuous improvement. Stay close to the data — work with JSON payloads, inspect APIs, and evaluate prototype outputs when needed. Design GTM strategy to expose the product commercially Research and innovation: Stay up-to-date with the latest advancements in machine learning and NLP, and explore new techniques and technologies to improve the linking processes. Deploy and maintain models in a production environment, monitoring their performance and ensuring their reliability. Required Qualifications 7-10 years of experience in product management, with a strong focus on Machine Learning, Natural Language Processing (NLP) for information extraction and MLOps Proven experience leading end-to-end implementation of multiple Data Science, Machine Learning, and AI projects, from ideation to deployment. Hands-on experience driving adoption of Generative AI and Agentic AI solutions at the enterprise level, with a focus on real-world impact and scalability. Experience building or managing data-heavy products (e.g., ETL tools, analytics platforms, data enrichment APIs). Prior experience in entity resolution, data linking, or metadata management. Expertise in Python and related NLP libraries (e.g., spaCy, NLTK, Transformers, Hugging Face) Experience with Apache Spark or other distributed computing frameworks for large-scale data processing. AWS/GCP Cloud expertise, particularly in deploying and scaling ML pipelines for NLP tasks. Solid understanding of the Machine Learning model lifecycle, including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring, specifically for information extraction models. Experience with CI/CD pipelines for ML models, including automated testing and deployment. Docker & Kubernetes experience for containerization and orchestration. Version control system experience with Git, GitHub, or Azure DevOps. Excellent Problem-solving, Code Review and Debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people What’s In It For You? A high-impact role where your work directly shapes the future of a data platform. Autonomy to define product priorities and technical direction. The opportunity to collaborate with a brilliant team solving hard, unsolved data problems. Exposure to both strategic and hands-on product building. A learning environment with rapid iteration, customer feedback, and shipping fast. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Inclusive Hiring And Opportunity At S&P Global: At S&P Global, we are committed to fostering an inclusive workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and equal opportunity, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 202 - Middle Professional (EEO Job Group) (inactive), 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group) Job ID: 314882 Posted On: 2025-04-23 Location: Gurgaon, Haryana, India Show more Show less

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Consultant , AI ML Lead! In this role, we are looking for candidates who have relevant years of experience in Text Mining. The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer’s business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools. Responsibilities Develop transformative AI/ML solutions to address our clients' business requirements and challenges Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning Manage Stakeholder/Customer Expectations Project Blue Printing and Project Documentation Creating Project Plan Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc. Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap. Work with digital development teams to integrate and transform these algorithms into production quality applications Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers Qualifications we seek in you! Minimum Qualifications / Skills MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms. Post-Graduation in MBA and Undergraduate degree in any engineering discipline, preferably Computer Science with relevant experience Full cycle experience desirable in atleast 1 Large Scale Text Mining/NLP project from creating a Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework Technology Open Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais , StanfordNLP, GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow, MS LUIS Exposure to Statistical Toolkits such as R, Weka, S -Plus, Matlab, SAS-Text Miner Strong Core Java experience in large scale product development and functional knowledge of RDBMs Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing Very good python/R programming skills. Java programming skills a plus Methodology Relevant years of experience in Solutioning & Consulting experience in verticals such as BFSI, CPG, with hands on delivering text analytics on large structured and unstructured data A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etc Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client’s analytics agenda with newer tools and techniques Preferred Qualifications/ Skills Technology Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods OpenNLP , OpenCalais, StanfordNLP , GATE, UIMA, Lucene, NoSQL UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3 Linux, Windows, GPU Experience Spark, Scala for distributed computing Deep learning frameworks such as TensorFlow, Keras , Torch, Theano Methodology Social Network modeling paradigms, tools & techniques Text Analytics using Natural Language Processing tools such as Support Vector Machines and Social Network Analysis Previous experience with Text analytics implementations, using open source packages and or SAS-Text Miner Ability to Prioritize, Consultative mindset & Time management skills Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Consultant Primary Location India-Kolkata Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jun 4, 2025, 6:34:09 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time