438 Summarization Jobs - Page 3

Role Overview We are looking for a Junior AI Engineer with a strong understanding of LLMs (GPT, LLaMA, Claude, etc.) to join our growing AI team. The ideal candidate will help build, fine-tune, and integrate LLM-powered solutions for real-world applications in web products and internal tools. Key Responsibilities Assist in building and integrating LLM-based applications using OpenAI API, HuggingFace Transformers, or similar. Fine-tune pre-trained models on specific tasks using custom datasets. Write prompt-engineered workflows for content generation, summarization, chatbots, and automations. Work closely with UI/UX and backend teams to embed AI features into products. Document model behavior, evaluate output quality, and suggest improvements. Required Skills Basic understanding of Natural Language Processing (NLP) and LLM architecture. Hands-on experience with Python, LangChain, or LLM frameworks like Transformers, HuggingFace, OpenAI, etc. Familiarity with REST APIs and JSON formats. Comfortable using Git, Jupyter Notebooks, and API tools like Postman. Good logical thinking and eagerness to learn from senior AI engineers. Bonus Points For Projects or internships involving GPT-based tools. Experience working with vector databases (e.g., Pinecone, ChromaDB). Understanding of prompt chaining and RAG (Retrieval-Augmented Generation). Qualifications Bachelor’s in Computer Science, AI/ML, Data Science, or related fields. 0–2 years of relevant experience (Final year students or freshers with strong AI portfolios are welcome). Passionate about AI, prompt engineering, and building with LLMs. Skills: jupyter notebooks,transformers,langchain,openai,rest apis,natural language processing (nlp),postman,json,nlp,huggingface,git,api,llm architecture,python,llm

Role Overview We are looking for a Junior AI Engineer with a strong understanding of LLMs (GPT, LLaMA, Claude, etc.) to join our growing AI team. The ideal candidate will help build, fine-tune, and integrate LLM-powered solutions for real-world applications in web products and internal tools. Key Responsibilities Assist in building and integrating LLM-based applications using OpenAI API, HuggingFace Transformers, or similar. Fine-tune pre-trained models on specific tasks using custom datasets. Write prompt-engineered workflows for content generation, summarization, chatbots, and automations. Work closely with UI/UX and backend teams to embed AI features into products. Document model behavior, evaluate output quality, and suggest improvements. Required Skills Basic understanding of Natural Language Processing (NLP) and LLM architecture. Hands-on experience with Python, LangChain, or LLM frameworks like Transformers, HuggingFace, OpenAI, etc. Familiarity with REST APIs and JSON formats. Comfortable using Git, Jupyter Notebooks, and API tools like Postman. Good logical thinking and eagerness to learn from senior AI engineers. Bonus Points For Projects or internships involving GPT-based tools. Experience working with vector databases (e.g., Pinecone, ChromaDB). Understanding of prompt chaining and RAG (Retrieval-Augmented Generation). Qualifications Bachelor’s in Computer Science, AI/ML, Data Science, or related fields. 0–2 years of relevant experience (Final year students or freshers with strong AI portfolios are welcome). Passionate about AI, prompt engineering, and building with LLMs. Skills: jupyter notebooks,transformers,langchain,openai,rest apis,natural language processing (nlp),postman,json,nlp,huggingface,git,api,llm architecture,python,llm

Role Overview – Bot Developer As a Bot Developer in the CAI Development Squad, you will play a crucial role in developing and optimizing our chat and voice bots to meet customer needs. Your responsibilities will span across technical project development, innovation, feature integration, business contribution, customer satisfaction, team development, and supporting implementation projects. You will collaborate with a talented team to drive the success and scalability of our Conversational AI solutions. Role Requirements: Lead technical project development efforts to enhance Conversational AI (CAI) solutions, focusing on innovation and scalability. Collaborate closely with the Implementation Squad to ensure smooth project deliveries and mitigate risks. Drive the integration of new features and third-party system integrations Directly contribute to building a positive business case and enhancing profitability. Ensure the delivery of easy-to-consume services highly valued by customers. Provide project estimations and solution ideas to mitigate risks and achieve revenue targets. Your Responsibilities as Bot Developer: Design, develop, train, and optimize chat and voice bots to address customer needs. Implement new features, including external application integrations Enhance Generative AI applications (e.g., FAQ and Knowledge Base Systems, Copilot system, text summarization, language translation, user profiling, personalization). Drive the innovation pillar within the CAI Bot Development Center of Excellence. Train bot Natural Language Understanding (NLU) models and analyze bot performance. Assess project issues and provide use case counselling. Create and maintain comprehensive documentation and guidelines. Design and deliver training programs for team members and customers. Key Requirements: University degree. E.g.: Computer Science, Software Engineering, Telecommunications, Mathematics, AI, Data Science or related field Programming proficiency in Python and/or NodeJS and JavaScript. Experience in designing and developing chat and voice bots. Strong understanding of Generative AI applications. Ability to create detailed documentation and training materials. Excellent command of verbal and written English. German and/or Spanish are a plus. Experience in working with international teams in a multicultural environment. Key Skills: Excellent subject matter expertise: Experience with Conversational AI platforms like Cognigy, IBM Watson, Google Dialogflow, etc. Knowledge of integration techniques with third-party systems. Excellent problem-solving and analytical skills. Attitude: Highly communicative and collaborative. Can effectively interact with Developers, other Squads, stakeholders, customers and management. Way of Working: Agile mindset and willingness to adapt to changing requirements and feedback.

Urgent Hiring: Senior AI Developer – HYGO AI (On-Site, Rajkot) Location: Rajkot, Gujarat Role Type: Full-Time, On-Site Experience: 3–5+ Years Industry: HealthTech / Artificial Intelligence About the Role HYGO AI is building a unified healthcare AI platform that spans diagnostics, clinical documentation, imaging, and surgical support. We are looking for a Senior AI Developer who can take ownership of the end-to-end development and deployment of production-grade AI systems in a real-world healthcare environment. This role requires a hands-on developer with strong experience in machine learning, LLM/NLP, and image processing, combined with the ability to integrate models into applications and AR systems. Responsibilities AI Development Develop and fine-tune deep learning models for: Medical image segmentation and classification Text-based decision support from structured/unstructured clinical data Voice-to-text and NLP-based EMR automation Predictive analytics using real-world patient data System Integration Deploy AI models using scalable frameworks (Docker, FastAPI, REST APIs) Integrate with: Radiology systems (DICOM/PACS) Clinical apps and EMRs Augmented Reality (AR) platforms and smart devices Build and manage data pipelines for training and inference LLM & NLP Applications Utilize LLMs for clinical reasoning, summarization, and report generation Implement prompt engineering, retrieval-augmented generation (RAG), and document parsing for healthcare use cases Model Evaluation & Documentation Track performance (accuracy, F1, specificity, explainability) Write internal technical reports, deployment plans, and documentation for regulatory/commercial use Collaborate on grants, investor pitches, and cost-efficiency planning Collaboration Lead junior AI engineers and interns Work with software engineers, clinicians, and product teams for real-world deployment Technical Requirements Strong coding skills in Python, with hands-on experience in: PyTorch, TensorFlow, or equivalent NLP/LLM frameworks (HuggingFace, LangChain, OpenAI APIs) Image processing (SimpleITK, MONAI, Nibabel) Familiarity with: DICOM/PACS, HL7, or FHIR protocols Docker, FastAPI, Flask for deployment Cloud platforms (AWS/GCP) or local server optimization Bonus: AR/VR experience (Unity integration or 3D rendering toolkits) Exposure to healthcare datasets or clinical workflows Candidate Profile 3–5+ years of professional experience in AI/ML development Versatile across domains: NLP, imaging, and systems integration Prior work in healthcare/medtech preferred Strong ownership mindset with ability to work in a fast-paced, research-to-product environment Compensation & Growth Competitive salary based on experience Equity option for high-performing candidates Opportunity to lead India’s most advanced health AI stack from the ground up How to Apply Send your CV, GitHub/portfolio, and a short write-up on your most relevant AI project to: tech@thehygo.com Subject Line: Senior AI Developer – HYGO | Rajkot

Job Description Job summary: You will be responsible to support the design and development, maintenance, implementation and validation of tech enhancements, automation modules and models in Employee Compliance. Job Responsibilities The role involves working with different specialized applications to pull data from databases & other sources and use the software to identify patterns and trends in the information. This information will feature in risk intelligence deliverables for senior Bank stakeholders. The role will include presenting data in charts, graphs, tables, designing and developing relational databases for collecting data across the Bank and building or designing data input or data collection screens. The jobholder will implement measures to contain compliance risk across the business area, including identification of gaps in risk models and approaches to mitigate. Deliver Value: Deliver concrete analytical solutions to existing/new business problems using a combination of business understanding as well as advanced tech tools and techniques Maintain strong business relations: Establish and maintain a consistent dialog and relationship with Compliance process peers Timely and accurate reporting: Provide timely and relevant information through appropriate reporting mechanisms (scorecards, dashboards, monthly management meetings). Design rich data visualizations to communicate complex ideas and automate reporting and controls. Identification and sharing of business best practices: Work closely with stakeholders to collaborate and share information arising from process related activities and other initiatives (e.g., trends, systemic issues, control weaknesses). Boundary less behavior: Execute special projects as assigned by management Required Qualifications, Capabilities, And Skills Overall Experience 3 - 4 years in technical skills such as Service now, and UI Path. Document Business Requirements and generate SOPs for handover of automation to the Testing team for use as BAU activity in a timely manner Excellent verbal and written communication skills – Effective executive summarization of complex business problems and solutions. Continuous improvement Mindset: Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group. Manage multiple projects that seek automation of process based opportunities improving process efficiency and controls. Ability to work with large volumes of data efficiently, design MIS and reports directly to senior management. Strong technical background and ability to manage and manipulate data extracted from systems of record. Maintain the highest standards of confidentiality and professionalism when handling sensitive information. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Our Compliance teams work globally across all lines of business to advise internal stakeholders on the impact of regulatory requirements and how to balance these with the firm’s needs. Their diverse mandate means they also provide input on new business strategies, product lines, policies, training, operational processes, risk mitigation and control.

Experience Level: 4-6 Years Key Responsibilities Model Development: Design, develop, and implement state-of-the-art generative AI models and open-source LLMs tailored to specific business needs. NLP Expertise: Apply advanced NLP techniques to enhance model performance in tasks such as text generation, summarization, translation, and sentiment analysis. Open-source Contribution: Actively contribute to and collaborate with the open-source community to improve and innovate on existing LLMs. Data processing: Knowledge of data processing frameworks and libraries such as Apache Spark, PyTorch, Pandas, NumPy, Scikit-learn, and TensorFlow. Experience in preparing and processing data for machine learning workflows should be a consideration. LLM Frameworks: Strong understanding of frameworks like LangChain or AutoGen for LLM-related candidates. Proficiency in leveraging these tools to build scalable and efficient solutions is essential. Model finetuning: Expertise in fine-tuning pre-trained models for specific use cases. Candidates should be skilled in optimizing model performance and adapting them to unique datasets to deliver high-quality results. Production ready applications: Expertise in frameworks such as FastAPI, Django, or similar tools. Candidates should demonstrate the ability to design, develop, and deploy machine learning models into a production environment. MLOps Integration: Develop and maintain robust MLOps pipelines for seamless deployment, monitoring, and management of AI models in production environments. Data Engineering: Collaborate with data engineers to ensure the availability of high-quality data for model training and validation. Research & Innovation: Conduct research to stay abreast of the latest advancements in generative AI, NLP, and open-source LLMs, and integrate new techniques into existing workflows. Performance Optimization: Optimize and fine-tune models for performance, scalability, and reliability, ensuring they meet production standards. Technical Leadership: Mentor junior developers, provide technical guidance, and participate in code reviews to uphold best practices in software development. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 4-5 years of hands-on experience in natural language processing and machine learning. Proficiency in programming languages such as Python, R, or Java. Extensive experience with NLP frameworks and libraries such as Hugging Face Transformers, spaCy, NLTK, and OpenAI GPT. Strong understanding of algorithms, data structures, and software design principles. Proven track record of deploying NLP models in production environments. Experience with MLOps tools and practices, including CI/CD pipelines, Docker, Kubernetes, and model monitoring. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Preferred Qualifications Experience with cloud platforms such as AWS, Google Cloud, or Azure. Knowledge of big data technologies like Hadoop, Spark, or Kafka. Familiarity with DevOps practices and tools.

This role is for one of Weekday's clients Salary range: Rs 1000000 - Rs 2000000 (ie INR 10-20 LPA) Min Experience: 5 years Location: Pune, Bengaluru JobType: full-time Requirements About the Role: We are seeking a highly skilled and innovative Senior Data Scientist to join our advanced analytics team. In this role, you will leverage your expertise in Python , Natural Language Processing (NLP) , and Large Language Models (LLMs) to build, deploy, and optimize AI-powered solutions that drive business insights and improve product functionality. You will work closely with cross-functional teams, including engineering, product, and domain experts, to translate complex business challenges into robust machine learning models. This is a high-impact role for someone who thrives in a data-driven environment and is passionate about solving real-world problems through intelligent systems and cutting-edge data science techniques. Key Responsibilities: Design, develop, and deploy scalable data science solutions, focusing on natural language processing (NLP) and large language models (LLMs). Apply machine learning and deep learning algorithms to extract insights from structured and unstructured datasets. Develop custom NLP pipelines for tasks such as sentiment analysis, topic modeling, named entity recognition, and text summarization. Fine-tune, evaluate, and deploy LLMs like GPT, BERT, or similar to solve domain-specific problems. Collaborate with data engineers to build and maintain robust data pipelines for training and production environments. Work with product and business teams to identify opportunities where data science can deliver business value. Communicate technical findings and insights to non-technical stakeholders in a clear and actionable manner. Stay up-to-date with the latest advancements in AI/ML, NLP, and LLM research and apply relevant techniques to ongoing projects. Lead and mentor junior data scientists in best practices for model development, validation, and deployment. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. PhD preferred. Minimum of 5 years of hands-on experience in data science or applied machine learning. Strong proficiency in Python and related libraries such as NumPy, pandas, scikit-learn, TensorFlow, PyTorch, and spaCy. Demonstrated experience in NLP techniques and language model fine-tuning, including experience with Hugging Face Transformers or OpenAI APIs. Solid understanding of machine learning theory, model evaluation, and feature engineering. Experience working with cloud platforms such as AWS, GCP, or Azure for scalable model deployment. Familiarity with version control (Git), collaborative workflows, and agile development. Excellent communication skills with the ability to present complex technical concepts to diverse audiences. Strong analytical mindset with a focus on delivering measurable business outcomes. Nice to Have: Experience with vector databases (e.g., FAISS, Pinecone) and semantic search implementations. Familiarity with LLMOps, prompt engineering, and conversational AI systems. Experience in deploying and maintaining ML models in production environments

This role is for one of Weekday's clients Salary range: Rs 1000000 - Rs 2000000 (ie INR 10-20 LPA) Min Experience: 5 years Location: Pune, Bengaluru JobType: full-time Requirements About the Role: We are seeking a highly skilled and innovative Senior Data Scientist to join our advanced analytics team. In this role, you will leverage your expertise in Python , Natural Language Processing (NLP) , and Large Language Models (LLMs) to build, deploy, and optimize AI-powered solutions that drive business insights and improve product functionality. You will work closely with cross-functional teams, including engineering, product, and domain experts, to translate complex business challenges into robust machine learning models. This is a high-impact role for someone who thrives in a data-driven environment and is passionate about solving real-world problems through intelligent systems and cutting-edge data science techniques. Key Responsibilities: Design, develop, and deploy scalable data science solutions, focusing on natural language processing (NLP) and large language models (LLMs). Apply machine learning and deep learning algorithms to extract insights from structured and unstructured datasets. Develop custom NLP pipelines for tasks such as sentiment analysis, topic modeling, named entity recognition, and text summarization. Fine-tune, evaluate, and deploy LLMs like GPT, BERT, or similar to solve domain-specific problems. Collaborate with data engineers to build and maintain robust data pipelines for training and production environments. Work with product and business teams to identify opportunities where data science can deliver business value. Communicate technical findings and insights to non-technical stakeholders in a clear and actionable manner. Stay up-to-date with the latest advancements in AI/ML, NLP, and LLM research and apply relevant techniques to ongoing projects. Lead and mentor junior data scientists in best practices for model development, validation, and deployment. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. PhD preferred. Minimum of 5 years of hands-on experience in data science or applied machine learning. Strong proficiency in Python and related libraries such as NumPy, pandas, scikit-learn, TensorFlow, PyTorch, and spaCy. Demonstrated experience in NLP techniques and language model fine-tuning, including experience with Hugging Face Transformers or OpenAI APIs. Solid understanding of machine learning theory, model evaluation, and feature engineering. Experience working with cloud platforms such as AWS, GCP, or Azure for scalable model deployment. Familiarity with version control (Git), collaborative workflows, and agile development. Excellent communication skills with the ability to present complex technical concepts to diverse audiences. Strong analytical mindset with a focus on delivering measurable business outcomes. Nice to Have: Experience with vector databases (e.g., FAISS, Pinecone) and semantic search implementations. Familiarity with LLMOps, prompt engineering, and conversational AI systems. Experience in deploying and maintaining ML models in production environments

locations Telangana, India time type Full time posted on Posted Today job requisition id JR108040 Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements. We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together. This job description is a template for job requisitions please make sure to update according to the position you are hiring for Job Description Job Title: Language Data Specialist - Portuguese This role will be on 6 months contract directly with Genesys Location: Hyderabad, India Summary: We are seeking a highly detail-oriented Language Data Specialist to join our growing team. In this role, you will annotate and analyze language data to support the development of our cutting-edge AI and natural language processing products. Your keen attention to detail, analytical skills, and ability to work independently will be crucial as you help provide valuable insights and high-quality data to the research team. This role is part of the Language Engineering team, where we contribute to the research, development, and evaluation of Genesys’ core AI capabilities in Speech & Natural Language Processing. Our work spans a range of product areas aimed at empowering excellence in customer and agent experiences, including chatbots/voicebots, knowledge, and agent assistive technologies including summarization, across a wide range of languages. Key Responsibilities: Accurately annotate text data following detailed guidelines to identify linguistic features and categories Collaborate with the research team to resolve data ambiguities and provide feedback on the annotation process Perform qualitative error analysis and provide actionable insights to improve quality Support the creation of language datasets for model training and evaluation Assist the team with other ad-hoc data-related tasks as needed Skills & Experience: Native or near-native proficiency in Portuguese. Exceptional attention to detail, ability to work accurately and efficiently, ability to quickly learn and apply new concepts and guidelines Proficient with productivity software and text editors 1+ years of experience with language data annotation, manipulation, and analysis and familiarity with annotation tools (preferred) Degree in linguistics, modern languages, or related field, or equivalent experience Interest in conversational AI, NLP, and language technologies If a Genesys employee referred you, please use the link they sent you to apply. About Genesys: Genesys empowers more than 8,000 organizations in over 100 countries to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experience at scale. As the trusted platform that is born in the cloud, Genesys Cloud helps organizations accelerate growth by enabling them to differentiate with the right customer experience at the right time, while driving stronger workforce engagement, efficiency and operational improvements. Visit www.genesys.com . Reasonable Accommodations: If you require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you or someone you know may reach out to HR@genesys.com. You can expect a response from someone within 24-48 hours. To ensure we set you up with the best reasonable accommodation, please provide them the following information: first and last name, country of residence, the job ID(s) or (titles) of the positions you would like to apply, and the specific reasonable accommodation(s) or modification(s) you are requesting. This email is designed to assist job seekers who seek reasonable accommodation for the application process. Messages sent for non-accommodation-related issues, such as following up on an application or submitting a resume, may not receive a response. Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics. Please note that recruiters will never ask for sensitive personal or financial information during the application phase.

JOB DESCRIPTION Job summary: You will be responsible to support the design and development, maintenance, implementation and validation of tech enhancements, automation modules and models in Employee Compliance. Job responsibilities: The role involves working with different specialized applications to pull data from databases & other sources and use the software to identify patterns and trends in the information. This information will feature in risk intelligence deliverables for senior Bank stakeholders. The role will include presenting data in charts, graphs, tables, designing and developing relational databases for collecting data across the Bank and building or designing data input or data collection screens. The jobholder will implement measures to contain compliance risk across the business area, including identification of gaps in risk models and approaches to mitigate. Deliver Value: Deliver concrete analytical solutions to existing/new business problems using a combination of business understanding as well as advanced tech tools and techniques Maintain strong business relations: Establish and maintain a consistent dialog and relationship with Compliance process peers Timely and accurate reporting: Provide timely and relevant information through appropriate reporting mechanisms (scorecards, dashboards, monthly management meetings). Design rich data visualizations to communicate complex ideas and automate reporting and controls. Identification and sharing of business best practices: Work closely with stakeholders to collaborate and share information arising from process related activities and other initiatives (e.g., trends, systemic issues, control weaknesses). Boundary less behavior: Execute special projects as assigned by management Required qualifications, capabilities, and skills: Overall Experience 3 - 4 years in technical skills such as Service now, and UI Path. Document Business Requirements and generate SOPs for handover of automation to the Testing team for use as BAU activity in a timely manner Excellent verbal and written communication skills – Effective executive summarization of complex business problems and solutions. Continuous improvement Mindset: Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group. Manage multiple projects that seek automation of process based opportunities improving process efficiency and controls. Ability to work with large volumes of data efficiently, design MIS and reports directly to senior management. Strong technical background and ability to manage and manipulate data extracted from systems of record. Maintain the highest standards of confidentiality and professionalism when handling sensitive information. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Our Compliance teams work globally across all lines of business to advise internal stakeholders on the impact of regulatory requirements and how to balance these with the firm’s needs. Their diverse mandate means they also provide input on new business strategies, product lines, policies, training, operational processes, risk mitigation and control.

Job summary: You will be responsible to support the design and development, maintenance, implementation and validation of tech enhancements, automation modules and models in Employee Compliance. Job responsibilities: The role involves working with different specialized applications to pull data from databases & other sources and use the software to identify patterns and trends in the information. This information will feature in risk intelligence deliverables for senior Bank stakeholders. The role will include presenting data in charts, graphs, tables, designing and developing relational databases for collecting data across the Bank and building or designing data input or data collection screens. The jobholder will implement measures to contain compliance risk across the business area, including identification of gaps in risk models and approaches to mitigate. Deliver Value: Deliver concrete analytical solutions to existing/new business problems using a combination of business understanding as well as advanced tech tools and techniques Maintain strong business relations: Establish and maintain a consistent dialog and relationship with Compliance process peers Timely and accurate reporting: Provide timely and relevant information through appropriate reporting mechanisms (scorecards, dashboards, monthly management meetings). Design rich data visualizations to communicate complex ideas and automate reporting and controls. Identification and sharing of business best practices: Work closely with stakeholders to collaborate and share information arising from process related activities and other initiatives (e.g., trends, systemic issues, control weaknesses). Boundary less behavior: Execute special projects as assigned by management Required qualifications, capabilities, and skills: Overall Experience 3 - 4 years in technical skills such as Service now, and UI Path. Document Business Requirements and generate SOPs for handover of automation to the Testing team for use as BAU activity in a timely manner Excellent verbal and written communication skills – Effective executive summarization of complex business problems and solutions. Continuous improvement Mindset: Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group. Manage multiple projects that seek automation of process based opportunities improving process efficiency and controls. Ability to work with large volumes of data efficiently, design MIS and reports directly to senior management. Strong technical background and ability to manage and manipulate data extracted from systems of record. Maintain the highest standards of confidentiality and professionalism when handling sensitive information.

We are looking for a hands-on AI Engineer / Data Scientist with deep expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) . The ideal candidate will have experience building custom AI models from the ground up, optimizing for performance, and integrating them into real-world systems and applications. Key Responsibilities: Design, build, and deploy NLP and LLM-based models tailored to domain-specific needs (e.g., chatbots, summarization, classification). Fine-tune and adapt foundation models (e.g., GPT, LLaMA, Mistral) for business use cases. Build custom pipelines for text processing, entity recognition, language understanding, and speech-to-text integrations. Work closely with engineering teams to integrate AI models into production systems (APIs, microservices, and edge deployments). Conduct experimentation, model evaluations , and performance tuning for latency, accuracy, and scalability. Collaborate cross-functionally with product, infra, and DevOps teams to ensure smooth deployment and monitoring of model Required Skills & Experience: 3-6 Years of relevant Experience Strong experience with Python , PyTorch , or TensorFlow . Proven track record in training, fine-tuning , and deploying LLMs or transformer-based models (BERT, GPT, T5, etc.). Solid understanding of NLP fundamentals – tokenization, embeddings, attention, text classification, sequence labeling, etc. Experience with model deployment tools : FastAPI, Flask, Docker, REST APIs. Exposure to data pipelines and MLOps tools (MLflow, Weights & Biases, SageMaker, etc.). Knowledge of speech-based interfaces or integration with telephony/speech systems is a strong plus. Ability to translate business problems into AI solutions. Experience with RAG (Retrieval Augmented Generation) pipelines. Familiarity with LangChain, LlamaIndex , or similar agentic/LLM orchestration tools. Understanding of model security, prompt injection risks , and observability . Pls share below details with updated CV to shruti.solasi@movius.ai if the JD suits your profile: EXP CTC ECTC Location Notice Regards, Shruti

About Our Company: Aerocraft Engineering India PVT Ltd based in Ahmedabad, provides services to US based Architecture, Engineering and Construction group of companies: Russell and Dawson – An Architecture/Engineering/Construction firm (www.rdaep.com) United-BIM – BIM Modeling Services Firm (www.united-bim.com) AORBIS – Procurement as a Service Provider (www.aorbis.com) For AORBIS business, We are seeking a passionate and skilled AI/ML Engineer with hands-on experience in Computer Vision, Document Processing Automation (PDFs), and LLMs . The ideal candidate will contribute to designing and deploying scalable AI solutions that extract, interpret, and act on unstructured and semi-structured data from documents using cutting-edge ML models. Familiarity with development tools like Python, GitHub, Jira, and Azure cloud is essential. Position: Senior Python & AI/ML Developer Timings: 12pm to 9pm - Monday to Friday Experience: Minimum 2-5 years Job Location: Ahmedabad (Siddhivinayak Towers, Makarba) Key Responsibilities: 1. Computer Vision & Image Processing Develop and optimize computer vision algorithms for document image processing (e.g., skew correction, OCR, layout detection). Implement models for object detection, segmentation, and keypoint detection in scanned or photographed documents. Apply pre-trained models and fine-tune them for use cases like table extraction or form understanding. 2. Machine Learning for PDF Automation Design and train models to extract structured data from unstructured PDFs (invoices, contracts, etc.). Use techniques like NLP, layout analysis, and supervised learning for content classification and entity extraction. Integrate tools such as Tesseract, PaddleOCR, Amazon Textract, or Azure Form Recognizer . 3. LLM (Large Language Models) Integration Fine-tune or prompt-engineer LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Claude) for document Q&A, summarization, or data enrichment. Build pipelines that blend OCR + LLM to automate document understanding and decision-making workflows. Evaluate and deploy open-source or commercial LLMs in a secure, scalable manner. 4. DevOps & Tooling Use GitHub for code version control, CI/CD pipelines, and collaborative development. Track and manage tasks and sprints using Jira in an Agile development setup. Docker and Kubernetes for smooth orchestration with server and client. Deploy and monitor ML models and APIs in the Azure cloud environment , leveraging Azure ML, Functions, or Containers. Required Skills and Experience: Bachelor's or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. 2+ years of hands-on experience with Python, OpenCV, TensorFlow/PyTorch, and ML frameworks. Strong grasp of NLP, OCR, and computer vision workflows. Experience working with PDF processing libraries (PDFMiner, PyMuPDF, PDFPlumber, etc.). Proficient in using and deploying models on Azure , with knowledge of Azure AI services. Understanding of version control with GitHub and task management via Jira . Exposure to prompt engineering and fine-tuning LLMs for domain-specific applications. Preferred Skills: Experience with open-source LLMs like LLaMA, Mistral, Falcon , or commercial APIs like OpenAI GPT-4 . Familiarity with vector databases (e.g., Qdrant, FAISS, Weaviate, ChromaDB ) and RAG-based systems. Knowledge of document standards like PDF/A, XFA, etc. Comfortable working in a fast-paced, research-oriented environment. 🎯 Key Responsibilities Build computer vision models for document layout analysis, object detection, and OCR enhancement. Automate data extraction from complex PDF documents (invoices, contracts, forms). Work with LLMs (e.g., GPT, LLaMA) for summarization, Q&A, and document intelligence tasks. Integrate AI pipelines with tools like Tesseract, Azure Form Recognizer, PDFMiner, PaddleOCR, etc. Deploy and manage ML solutions using Azure cloud services. Collaborate using GitHub (version control), Jira (Agile task tracking), and CI/CD workflows. ✅ Requirements 2–5 years of hands-on experience in AI/ML, preferably in document intelligence or vision-based systems. Strong Python skills with frameworks like TensorFlow, PyTorch, OpenCV. Proven experience in OCR, NLP, and automating document workflows. Experience with LLMs and prompt engineering or fine-tuning. Comfortable with DevOps tools: Azure, GitHub, Docker, Kubernetes and Jira. Benefits: Exposure to US Projects/Design/Standards Company provides Dinner/Snacks/Tea/Coffee Reimbursable Health Insurance 15 paid leave annually & 10 Public Holidays

Job Title: AI Engineer Location: Gurgaon (On-site) Type: Full-Time Experience: 2–6 Years Role Overview We are seeking a hands-on AI Engineer to architect and deploy production-grade AI systems that power our real-time voice intelligence suite. You will lead AI model development, optimize low-latency inference pipelines, and integrate GenAI, ASR, and RAG systems into scalable platforms. This role combines deep technical expertise with team leadership and a strong product mindset. Key Responsibilities Build and deploy ASR models (e.g., Whisper, Wav2Vec2.0) and diarization systems for multi-lingual, real-time environments. Design and optimize GenAI pipelines using OpenAI, Gemini, LLaMA, and RAG frameworks (LangChain, LlamaIndex). Architect and implement vector database systems (FAISS, Pinecone, Weaviate) for knowledge retrieval and indexing. Fine-tune LLMs using SFT, LoRA, RLHF, and craft effective prompt strategies for summarization and recommendation tasks. Lead AI engineering team members and collaborate cross-functionally to ship robust, high-performance systems at scale. Preferred Qualification 2–6 years of experience in AI/ML, with demonstrated deployment of NLP, GenAI, or STT models in production. Proficiency in Python, PyTorch/TensorFlow, and real-time architectures (WebSockets, Kafka). Strong grasp of transformer models, MLOps, and low-latency pipeline optimization. Bachelor’s/Master’s in CS, AI/ML, or related field from a reputed institution (IITs, BITS, IIITs, or equivalent). What We Offer Compensation: Competitive salary + equity + performance bonuses Ownership: Lead impactful AI modules across voice, NLP, and GenAI Growth: Work with top-tier mentors, advanced compute resources, and real-world scaling challenges Culture: High-trust, high-speed, outcome-driven startup environment

External Description Description - External Ready to build the future with AI? At Genpact, we don’t just keep up with technology—we set the pace. 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, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, 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 Manager - Offerings Development Manager-Agentic AI! In this role, you'll be part of Genpact's transformation under GenpactNext, as we lead the shift to Agentic AI Solutions—domain-specific, autonomous systems that redefine how we deliver value to clients. You'll help drive the adoption of innovations like the Genpact AP Suite in finance and accounting, with more Agentic AI products set to expand across service lines. As Genpact strengthens its offerings enablement ecosystem to enable Growth teams with high quality content for creating superior and faster solutions, this individual will play a critical role in ensuring relevant value messaging to our clients through our offerings’ collaterals. They will be responsible for working with allocated business teams to understand their business priorities, offerings & solutions, and accordingly create productized client facing offering packs to deliver business impact. They will be responsible for ensuring the right storytelling, content readiness, and quality at the right time to deliver the right Go to Market positioning in front of clients. Responsibilities The Offerings Development Manager will work closely with practice and service line teams to strategize/identify the right offerings and work on articulating the value we drive for our clients. They will own the strategic and operational duties associated with business content readiness and establish governance mechanisms to improve the overall offerings enablement ecosystem. Offerings Development Work with practice SMEs to understand the client’s challenges and how Genpact solves for their challenges Understand our right to play and value articulation Liaison with practice team to drive “product/offering messaging” by translating technical nuances to strong client messages Productize the offering with the right value articulation to make it client ready Ensure every offering has all the GTM readiness collaterals for client readiness Establish strong relationship with practice leaders to be their trusted advisor for offerings Ability to quickly research industry and competitor’s offerings and ability to incorporate it in our value messaging Work with Knowledge Management team to drive strategic placement of the offerings in our infrastructure Qualifications we seek in you! Minimum qualifications Prior experience in working on product/solution marketing messaging with understanding of AI, ML, Agents, Cloud, Tech, etc. Graduate with relevant content creation experience Product marketing skills with experience in creating client facing collaterals Understanding of “value-based problem solving” and “solution orientation” Preferrable to have basic research skills Savvy with MS Office, Excel and PowerPoint Ability to engage with senior stakeholders globally, understand and align with their business priorities, and work with knowledge partners to translate these to client messaging Preferred Qualifications Experience in client-facing role and/or understanding professional services market would be an advantage Good summarization skills Ability to directly deal with stakeholders Ability to work independently, with minimum supervision and with geographically dispersed teams Good problem solving skills - ability to think and provide relevant solution Think strategically – should be able to understand the larger picture Flexible - ability to adapt to changing dynamics quickly Personal efficiency and influencing skills

Artificial Intelligence Researcher Opportunity All LTI Mindtree office locations 5-12 years Job Description Key Responsibilities: Research Innovation Conduct applied research in generative AI, foundation models, NLP, computer vision, and multimodal AI. Stay abreast of the latest publications and open-source advancements. Model Development Fine-tune, evaluate, and optimize large language models (LLMs), transformers, and other generative models for specific business and product use cases. Prototyping Experimentation Build proof-of-concepts and experimental systems that demonstrate the potential of GenAI across domains such as content generation, summarization, synthetic data, agent systems, etc. Data Evaluation Pipelines Design robust data pipelines, evaluation metrics, and benchmarking systems to validate model performance, safety, and bias. Collaboration Work with cross-functional teams including product managers, ML engineers, and data scientists to translate research into production-grade systems. Open Source IP Contribution Publish findings in peer-reviewed venues, contribute to open-source projects, or generate intellectual property relevant to the business. Required Qualifications 5-7 years of experience in machine learning or applied AI roles, with at least 2-3 years working on generative models or related research. Strong foundation in deep learning frameworks such as PyTorch, TensorFlow, or JAX. Experience with LLMs (e.g., GPT, LLaMA, Claude), diffusion models, or vision-language models. Proficient in Python and ML tools/libraries such as Hugging Face Transformers, LangChain, or similar. Understanding of responsible AI practices, bias mitigation, and model explainability. Masters or PhD in Computer Science, Machine Learning, Mathematics, or related fields. Preferred Qualifications Experience with open-source LLMs or fine-tuning techniques like LoRA, PEFT, RLHF, etc. Knowledge of MLOps practices and deployment of models in production (e.g., via Kubernetes, Ray, Triton). This job is provided by Shine.com

Job Title: Senior Associate – Medical Record Analyst (US Healthcare) Work Mode: On-site Location: Salem, Tamil Nadu. Flexi Time: Within 8:00 AM – 7:00 PM (9 hour workday) Work Environment & Schedule: Full-time | Day Shift: Monday to Friday (No weekends or on-call duties) The position offers a modern, ergonomic workspace equipped with adjustable seating and proper lighting to support comfort and productivity throughout the day. Screen setups are optimized to ensure a healthy and comfortable working experience. Position Overview The Medical Record Analyst will analyze, organize, and summarize complex medical records for Med-Legal and life insurance projects. This role requires strong attention to detail, proficiency in medical data tools, and strict adherence to HIPAA and GDPR compliance standards. Key Responsibilities Analyze complex medical documentation to extract key diagnoses, treatments, and events for legal and insurance use. Ensure data accuracy and conduct quality control by identifying discrepancies and performing audits. Apply critical thinking to interpret complex case histories and summarize timelines and outcomes. Prepare concise, data-driven reports and communicate complex medical information clearly to stakeholders. Manage multiple projects with accuracy under tight deadlines while maintaining proactive communication. Skills Required Proficiency in data management systems and medical software tools Strong analytical and critical thinking abilities Excellent communication and reporting skills Ability to work under tight deadlines without compromising quality Quick adaptability to new tools, processes, and workflows Experience in Med-Legal or life insurance projects In-depth knowledge of HIPAA / GDPR compliance and data privacy regulations Education and Experience A degree in healthcare, medical informatics, or a related field Minimum of 2 years experience in medical data analysis, preferably in Med-Legal or insurance-based projects Benefits Paid sick leave, casual leave, and compensatory leave Statutory benefits (PF) Paid parental leave based on company norms (maternity & paternity) Educational support for employees’ children Holidays aligned with Indian and US calendars Weekends off (Saturday and Sunday) Health insurance coverage Employee reward program Night shift allowance (applicable for roles involving night shifts; not applicable to this day-shift position ) Certification assistance and career growth opportunities Industry Type: Med-Legal Department: Healthcare & Life Sciences Employment Type: Full-time, Permanent Role Category: Healthcare & Life Sciences – Other Compensation: ₹2,40,000 – ₹4,50,000 per annum (based on experience and qualifications) Team Structure At LezDo, you’ll be part of a supportive and collaborative team environment that values communication, teamwork, and shared accountability in delivering high-quality results. Why Join Us At LezDo, we’re committed to supporting our employees’ professional growth and well-being. Join a team that values precision, collaboration, and compassion. Job Type: Full-time Benefits: Health insurance Provident Fund Schedule: Monday to Friday Night shift Supplemental Pay: Overtime pay Ability to commute/relocate: Salem, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Experience: Medical summarization: 1 year (Required) Work Location: In person

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position A healthier future. That’s what drives us. We are looking for a highly skilled Artificial Intelligence (AI) / Machine Learning (ML) Engineer with expertise in building AI-powered applications. We will be building AI & GenAI solutions end-to-end: from concept, through prototyping, production, to operations. The Opportunity: Generative AI Application Development: Collaborate with developers and stakeholders in Agile teams to integrate LLMs and classical AI techniques into end-user applications, focusing on user experience, and real-time performance Algorithm Development: Design, develop, customize, optimize, and fine-tune LLM-based and other AI-infused algorithms tailored to specific use cases such as text generation, summarization, information extraction, chatbots, AI agents, code generation, document analysis, sentiment analysis, data analysis, etc LLM Fine-Tuning and Customization: Fine-tune pre-trained LLMs to specific business needs, leveraging prompt engineering, transfer learning, and few-shot techniques to enhance model performance in real-world scenarios End-to-End Pipeline Development: Build and maintain production-ready end-to-end ML pipelines, including data ingestion, preprocessing, training, evaluation, deployment, and monitoring; automate workflows using MLOps best practices to ensure scalability and efficiency Performance Optimization: Optimize model inference speed, reduce latency, and manage resource usage across cloud services and GPU/TPU architectures Scalable Model Deployment: Collaborate with other developers to deploy models at scale, using cloud-based infrastructure (AWS, Azure) and ensuring high availability and fault tolerance Monitoring and Maintenance: Implement continuous monitoring and refining strategies for deployed models, using feedback loops and e.g. incremental fine-tuning to ensure ongoing accuracy and reliability; address drifts and biases as they arise Software Development: Apply software development best practices, including writing unit tests, configuring CI/CD pipelines, containerizing applications, prompt engineering and setting up APIs; ensure robust logging, experiment tracking, and model monitoring Who are: Minimum overall 5-7 years of experience and hold B.Sc., B.Eng., M.Sc., M.Eng., Ph.D. or D.Eng. in Computer Science or equivalent degree Experience: 3+ years of experience in AI/ML engineering, with exposure to both classical machine learning methods and language model-based applications Technical Skills: Advanced proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow; expertise with Transformer architectures; hands-on experience with LangChain or similar LLM frameworks; experience with designing end-to-end RAG systems using state of the art orchestration frameworks (hands on experience with fine-tuning LLMs for specific tasks and use cases considered as an additional advantage) MLOps Knowledge: Strong understanding of MLOps tools and practices, including version control, CI/CD pipelines, containerization, orchestration, Infrastructure as Code, automated deployment Deployment: Experience in deploying LLM and other AI models with cloud platforms (AWS, Azure) and machine learning workbenches for robust and scalable productizations Practical overview and experience with AWS services to design cloud solutions, familiarity with Azure is a plus; experience with working with GenAI specific services like Azure OpenAI, Amazon Bedrock, Amazon SageMaker JumpStart, etc. Data Engineering: Expertise in working with structured and unstructured data, including data cleaning, feature engineering with data stores like vector, relational, NoSQL databases and data lakes through APIs Model Evaluation and Metrics: Proficiency in evaluating both classical ML models and LLMs using relevant metrics Relocation benefits are not available for this posting. Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer.

AI Engineering Lead Company: Straive Location:- Bengaluru, Karnataka (Hybrid) Industry: Data & Analytics, AI/ML Solutions Employment Type: Full-Time Experience: 8+ years About the Role Straive is seeking an AI Engineering Lead with deep technical expertise and a builder's mindset. This role is ideal for someone who thrives at the intersection of LLM innovation, system design, and engineering rigor. You will be responsible for designing and deploying advanced AI applications at scale — from autonomous agents to retrieval-augmented generation (RAG) pipelines — powering intelligence solutions that impact real-world decisions in regulated industries. This isn't just a data science role — it's a hands-on engineering position demanding architectural foresight, curiosity, and a constant pulse on evolving AI capabilities. Key Responsibilities AI Platform Development: Design and build AI-powered platforms, including multi-agent orchestration (CrewAI, AutoGen, LangGraph) and RAG pipelines with dense/sparse/hybrid search strategies. AI Operationalization: Operationalize AI across use cases like data harvesting, compliance validation, summarization, and knowledge retrieval. LLM System Implementation: Lead end-to-end implementation of LLM systems using open-source stacks — LangChain, Haystack, HuggingFace, etc. Web Application Development: Develop web-integrated AI applications, collaborating with front-end and backend teams (React, FastAPI, etc.). Quality & Scalability: Drive quality, scalability, and reliability in all AI product engineering efforts, ensuring robust deployment and monitoring. Technical Ownership: Own embedding lifecycle, prompt strategy, agent memory, and dynamic tool invocation techniques. Required Qualifications Experience Technical Expertise Python LangChain CrewAI AutoGen LangGraph HuggingFace FastAPI React Vector Databases AWS/GCP RAG Systems AI Agents Haystack Puppeteer Playwright Compensation Package Annual CTC: Up to ₹45,00,000 per annum Notice Period: Immediate to 30 days Cross-functional Collaboration: Collaborate across product, infra, data, and legal teams to ensure business-aligned engineering. Innovation Leadership: Stay ahead of the curve — proactively track AI tool evolution, contribute PoCs, and guide architectural decision-making. 8+ years of total experience with 3+ years in LLM/AI product engineering leadership Strong track record of building LLM-based products, including RAG systems, agents, or AI assistants LLM & AI Systems: Deep understanding of dense vs. sparse retrieval, vector DB design, chunking strategies, and LLM cost/performance trade-offs AI Frameworks: Experience with frameworks like CrewAI, AutoGen, LangGraph, BrowserBase, LangChain, etc. Software Engineering: Solid background in Python (must), FastAPI, SQL/NoSQL, data pipelines, and backend logic Web Technologies: Familiarity with web technologies and browser automation/scraping frameworks (e.g., Puppeteer, Playwright) Cloud & DevOps: Working knowledge of cloud environments (AWS/GCP), containerization, CI/CD, and model monitoring. Job Type: Full-time Pay: Up to ₹4,500,000.00 per year Schedule: Day shift Morning shift Work Location: In person

Job Title : Gen AI / ML Data Scientist Location : Gurugram / Chennai (Hybrid or Onsite) Experience : 46 years Employment Type : Full-time Job Summary We are looking for an experienced Data Scientist with strong expertise in Generative AI and Machine Learning to join our team. The ideal candidate will have hands-on experience in building, deploying, and optimizing AI/ML models for various real-world use cases, especially in GenAI (LLMs, Transformers, Diffusion Models, Responsibilities : Design and develop ML/AI models including but not limited to supervised, unsupervised, NLP, and Gen AI techniques. Build and fine-tune LLM-based solutions (e.g., GPT, BERT, LLaMA) for enterprise applications like chatbots, summarization, information extraction, etc. Conduct data preprocessing, feature engineering, and model evaluation using appropriate ML/AI techniques. Collaborate with data engineers, MLOps, and product teams to deploy models in production. Conduct research and stay up to date on emerging trends in Gen AI and ML. Work on Prompt Engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases. Present findings and insights to business stakeholders and non-technical Skills & Experience : 5 years of experience in Data Science, ML, and AI. Strong experience with Generative AI frameworks (OpenAI, Hugging Face Transformers, LangChain, LlamaIndex, etc.). Proficiency in Python, with experience in libraries like Scikit-learn, TensorFlow/PyTorch, pandas, NumPy, etc. Experience working with LLMs, vector databases (e.g., FAISS, Pinecone), and large datasets. Familiarity with cloud platforms like AWS, GCP, or Azure for AI/ML model deployment. Good understanding of MLOps pipelines, CI/CD for ML, and model monitoring. Strong problem-solving and communication to Have : Knowledge of diffusion models, image/video generation, or multimodal models. Experience with data visualization tools (e.g., Tableau, Power BI, Plotly). Domain knowledge in BFSI, healthcare, or retail is a Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field. (ref:hirist.tech)

Job Description Java Developer with expertise in Prompt Engineering to join our AI-driven development team. The ideal candidate will combine robust Java backend development capabilities with hands-on experience in integrating and fine-tuning LLMs (e.g., OpenAI, Cohere, Mistral, or Anthropic), designing effective prompts, and embedding AI functionality into enterprise applications. This role is ideal for candidates passionate about merging traditional enterprise development with cutting-edge AI technologies. Key Responsibilities Design, develop, and maintain scalable backend systems using Java (Spring Boot) and integrate AI/LLM services. Collaborate with AI/ML engineers and product teams to design prompt templates, test prompt effectiveness, and iterate for accuracy, performance, and safety. Build and manage RESTful APIs that interface with LLM services and microservices in production-grade environments. Fine-tune prompt formats for various AI tasks (e.g., summarization, extraction, Q&A, chatbots) and optimize for performance and cost. Apply RAG (Retrieval-Augmented Generation) patterns to retrieve relevant context from data stores for LLM input. Ensure secure, efficient, and scalable communication between LLM APIs (OpenAI, Google Gemini, Azure OpenAI, etc.) and internal systems. Develop reusable tools and frameworks to support prompt evaluation, logging, and improvement cycles. Write high-quality unit tests, conduct code reviews, and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab. Work in Agile/Scrum teams and contribute to sprint planning, estimation, and retrospectives. Must-Have Technical Skills Java & Backend Development : Core Java 8/11/17 Spring Boot, Spring MVC, Spring Data JPA RESTful APIs, JSON, Swagger/OpenAPI Hibernate or other ORM tools Microservices architecture Prompt Engineering / LLM Integration : Experience working with OpenAI (GPT-4, GPT-3.5), Claude, Llama, Gemini, or Mistral models. Designing effective prompts for various tasks (classification, summarization, Q&A, etc.) Familiarity with prompt chaining, zero-shot/few-shot learning Understanding of token limits, temperature, top_up, and stop sequences Prompt evaluation methods and frameworks (e.g., LangChain, LlamaIndex, Guidance, PromptLayer) AI Integration Tools : LangChain or LlamaIndex for building LLM applications API integration with AI platforms (OpenAI, Azure AI, Hugging Face, etc.) Vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB) DevOps / Deployment : Docker, Kubernetes (preferred) CI/CD tools (Jenkins, GitHub Actions) AWS/GCP/Azure cloud environments Monitoring : Prometheus, Grafana, ELK Stack Good-to-Have Skills Python for prototyping AI workflows Chatbot development using LLMs Experience with RAG pipelines and semantic search Hands-on with GitOps, IaC (Terraform), or serverless functions Experience integrating LLMs into enterprise SaaS products Knowledge of Responsible AI and bias mitigation strategies Soft Skills Strong problem-solving and analytical thinking Excellent written and verbal communication skills Willingness to learn and adapt in a fast-paced, AI-evolving environment Ability to mentor junior developers and contribute to tech strategy Education Bachelors or Masters degree in Computer Science, Engineering, or related field Preferred Certifications (Not Mandatory) : OpenAI Developer or Azure AI Certification Oracle Certified Java Professional AWS/GCP Cloud Certifications (ref:hirist.tech)

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA The Technical Services Implementation Engineer (L3) is a seasoned engineering role, responsible for providing technical support to clients. This includes remotely supporting clients within service level agreements (SLAs); to install and configure software and hardware, resolve incidents, perform root cause analysis and adhere to any related processes such as change management. This role is involved in more complex environments for installation, configuration and fault management. What You'll Be Doing Experience of 8-12 years in networking domain with basic and Advanced routing/switching skills in the field role. Should be able to Implement Routing&Switching, SD-WAN, SP, Datacenter related projects. Create network documentation LLD and AS-BUILD, SOPs for the deployments. Performing analysis of network needs and contributes to design (Low Level Design), integration, and installation of Network hardware and software. Routing and Switching: FHRP, Spanning-tree, Stacking, VSS, VPC. BGP, OSPF, EIGRP,Static Routing, PBR, VRF, MPLS, DMVPN, GRE Tunnels, Route Redistribution, Summarization, Route filtering, PAT ,NAT, Netflow. Should be having excellent knowledge on L3 routing, VRF & Switching for troubleshooting, implementation and optimizing network deployment. Datacentre : Nexus(VDC, VPCs, FEXs, VxLan). ACI ( Spine and Leaf , APICs, Tenants, VRFs, BDs, EPGs, L2 Outs, L3 Outs, L4-7 services) SDWAN : Configuration and deployment of SD-WAN controllers Good understanding of SD-Wan components like , vSmart Controller,vManage NMS,vBond Orchestrator,vEdge Routers Implementation of controllers data policies & operations job in field Implementation of DIA , Dynamic tunnels. Qos deployment Able to handle SD-wan operations. Cisco Catalyst Switches, Nexus Switches, ISR, ASR Routers. Cisco SD-WAN(Viptela), Silverpeak(Aruba), Meraki. Requirements: 8-12 year’s work experience. Ready to work in Field role Location: Delhi/NCR BE/B.Tech degree, MCA or equivalent preferred Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

Your potential, unleashed. India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. About the Role We are seeking passionate and technically skilled professionals to join the Innovation team at the Deloitte. Working very closely with Deloitte India’s Strategy Office and Agentic AI CoE, you’ll prototype AI-powered platforms, digital products, embedded systems and productivity tools that drive real business change. Expect rapid learning, mentorship from industry leaders, and the freedom to push technological boundaries while delivering measurable impact. Key Responsibilities Solution Development Build and test prototypes and proof-of-concept solutions across innovation zones (Retail, Manufacturing, Digital Studio, Immersive, Advanced Connectivity). Develop applications and tools using Generative AI (e.g., LLMs, diffusion models) and Agentic AI frameworks. Contribute to creating the MVP architecture of scalable platforms AI & Emerging Tech Integration Run early-stage experiments in AI (Gen AI, Agentic AI, RAG Agents, LLM Agents etc.) Implement and fine-tune GenAI models for tasks such as content generation, summarization, and automation. Contribute to the development of autonomous agents and workflows using Agentic AI platforms (e.g., LangChain, AutoGen, CrewAI). Collaboration & Experimentation Work closely with designers, domain experts, and senior engineers to co-create innovative solutions. Participate in ideation sessions, technical workshops, and client demos. Documentation & Maintenance Document code, architecture, and technical processes. Maintain and iterate on existing prototypes and demo environment Preferred Skills & Technologies Programming: Python, JavaScript, C#, or Java AI/ML: Experience with LLMs (e.g., OpenAI, Hugging Face) , LangChain , Vector DBs , Prompt Engineering Agentic AI: Exposure to agent frameworks like AutoGen , CrewAI , or similar Cloud: Familiarity with Azure , AWS , or GCP Tools: Git, REST APIs, Docker, Agile methodologies Data: Experience with SQL Qualifications Bachelor’s degree in computer science, Engineering, or related technical field 1–4 years of experience in software development, AI/ML, or emerging tech prototyping Strong problem-solving and collaboration skills Eagerness to learn and contribute in a fast-paced, innovation-driven environment. What We Offer Hands-on experience with cutting-edge technologies and real-world innovation challenges A collaborative, inclusive, and future-focused work culture Part of forward-thinking team that values creativity and data-driven decision-making Opportunity to build a central engine for technology innovation across the firm Location and way of working Base location: Bangalore This profile does not involve extensive travel for work. How you’ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report. Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone’s welcome… entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.

Job Overview We are seeking a dynamic AI/ML Executive who can lead end-to-end AI/ML projects , manage a small team, and deploy scalable solutions. The ideal candidate will have experience with core ML workflows and MLOps, and a strong grasp of AI functionalities such as Computer Vision, NLP, and Object Detection . Key Responsibilities Design and execute end-to-end AI/ML pipelines for real-world applications. Build and manage models in domains such as: Computer Vision (e.g., image classification, object detection, OCR) Natural Language Processing (NLP) (e.g., text classification, summarization, chatbots) Collaborate with cross-functional teams to translate business needs into technical solutions. Build and maintain REST APIs using FastAPI or similar frameworks. Deploy models using Kubernetes/Docker , with attention to scalability and monitoring. Mentor junior team members and oversee project timelines. Required Skills Strong programming skills in Python Experience with TensorFlow, PyTorch, OpenCV, HuggingFace, spaCy, YOLO , or similar frameworks Hands-on with MLOps tools : MLflow, DVC, or Kubeflow Model deployment using FastAPI , Docker , and Kubernetes Solid understanding of data preprocessing, model training, and evaluation for both structured and unstructured data Familiarity with version control (Git), CI/CD pipelines, and cloud platforms (AWS/GCP preferred) Preferred Qualifications Bachelor's or Master’s degree in Computer Science, AI, Data Science, or related fields Prior experience leading small AI/ML teams or projects Exposure to geospatial AI, satellite imagery, or edge AI (bonus) W. Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Work Location: In person

Job Description Job ID MANAG013923 Employment Type Regular Work Style hybrid Location Noida,UP,India Travel Up to 25% Role Manager Product Management Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on. At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all. Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you. Description UKG Ready is seeking a strategic and hands-on Manager of Product Management to lead initiatives within our Data Sub-Stream. This role will oversee two high-impact areas: the evolution of our GenAI and Agent capabilities (including LLM-based features, evaluations, and intelligent experiences), and the continued growth of our analytics platform, powered by BigQuery. This is a leadership role that involves close collaboration with senior and executive management to define vision, drive execution, and mentor product team members. Success in this role will be measured by your ability to work cross-functionally with engineering, AI research, UX, and other AI pillars across UKG to deliver scalable, responsible, and user-centric data and AI products. If you thrive at the intersection of data, intelligence, and user experience—and enjoy growing a young team while shaping both strategic roadmaps and day-to-day product development—we’d love to connect. Responsibilities Strategy & Leadership Define and own the product strategy for UKG Ready’s data platform. Lead a team of product managers across multiple geographies, providing mentorship, prioritization, and execution support. Represent GenAI and Analytics in cross-functional planning, executive updates, and stakeholder alignment. Champion a user-centric and ethically responsible approach to LLM-powered features. Align AI-powered product experiences with the underlying analytics infrastructure. GenAI & LLM Oversee the development of LLM-powered features (e.g., summarization, chat, intelligent insights). Guide prompt engineering strategies, evaluation frameworks, and RAG pipelines. Ensure robust infrastructure for safe, high-performance AI interactions. Monitor real-world performance and quality of generative experiences, driving continuous improvement. Analytics Platform Drive the roadmap for the analytics platform and reporting experiences, including dashboards and data exploration tools. Guide the evolution of our BigQuery architecture and data products to support scalability and cross-suite reporting. Collaborate with data engineering and architecture teams to ensure clean, performant, and accessible data for all personas. Align KPIs, dashboards, and self-service tools with both internal and customer-facing needs. Execution Support agile ceremonies across teams: planning, grooming, story definition, and backlog management. Translate customer feedback, usage data, and market trends into actionable priorities. Balance short-term delivery with long-term vision to ensure sustainable product development. Define and track success metrics across both GenAI and Analytics initiatives. Qualifications 6–10 years of product management experience, including 2+ years in a leadership or mentoring role. Proven experience owning product strategy and execution in one or more of the following areas: Generative AI/LLMs, analytics platforms, or data products. Demonstrated success leading cross-functional initiatives across engineering, UX, and data science. Strong working knowledge of LLM concepts (prompting, embeddings, RAG, evaluation), preferably in production environments. Hands-on familiarity with cloud data platforms—BigQuery experience strongly preferred. Excellent communication skills, with the ability to distill complexity into clear direction for both executives and teams. Deep user empathy and a data-driven decision-making mindset. Bonus: Experience with vector databases, LangChain/LlamaIndex, dbt, or Looker. Bonus: Background in enterprise SaaS, HR tech, or workflow platforms. Where we’re going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process. Disability Accommodation in the Application and Interview Process For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com