421 Summarization Jobs - Page 2

About the AI Pod: Join our innovative AI Pod focused on revolutionizing performance marketing creatives. Our mission is to build cutting-edge internal tools powered by Artificial Intelligence to automate the creation of high-impact marketing videos. By cutting production time, enabling creatives at scale, and boosting ROI, this pod will directly empower our marketing teams to launch faster, test more rigorously, and drive significant performance improvements across platforms like Meta and Google. Role Summary: We are looking for two skilled and passionate AI Engineers to be foundational members of our AI Pod. You will be responsible for designing, developing, and implementing the core AI and Machine Learning models and systems that power our automated video creation platform. You will work closely with other engineers and a marketing stakeholder to translate creative requirements into intelligent, scalable solutions that deliver against our ambitious goals. Key Responsibilities: Develop and implement AI/ML models and algorithms for various stages of the automated video creation pipeline, including (but not limited to) text-to-video generation, voiceover synthesis, animation sequencing, and content summarization/copy generation. Integrate with and leverage external generative AI APIs and platforms (e.g., Text-to-Video tools like Runway, Pika Labs, Kaiber; Voice Generation tools like ElevenLabs, Play.ht; Language Models like OpenAI, Claude). Design and build data pipelines to process input assets (images, text, product info) and prepare them for AI model consumption. Contribute to the development of the "Smart Creative Engine" (Phase 2), focusing on generating creative variations based on audience, placement, and messaging through intelligent automation. Optimize models and pipelines for performance, scalability, and efficiency to ensure rapid video turnaround times. Collaborate with the fullstack engineer to build robust APIs and backend services that expose AI functionalities to the frontend and potential ad platform integrations. Work closely with the Marketing Stakeholder to understand creative needs, gather feedback, and iterate on AI-generated outputs. Stay up-to-date with the latest advancements in generative AI, computer vision, natural language processing, and automated content creation. Implement best practices for model training, evaluation, deployment, and monitoring. Contribute to code reviews and maintain high code quality standards. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience. Proven experience developing and deploying AI/ML models in a production environment. Strong programming skills in Python. Proficiency with major AI/ML frameworks such as TensorFlow and/or PyTorch. Experience with libraries like Scikit-Learn, Keras, Matplotlib, SciPy, and potentially OpenCV or Tesseract. Familiarity with generative AI concepts and models (e.g., GANs, Transformers, Diffusion Models). Experience working with and integrating external APIs, particularly those related to AI/ML or content generation. Understanding of data processing, feature engineering, and model evaluation techniques. Ability to work effectively in an Agile, cross-functional team environment. Strong problem-solving skills and a creative approach to technical challenges. Bonus Points (Nice to Have): Experience with Text-to-Video generation techniques or platforms. Experience with Voice Generation (TTS) technologies or platforms. Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment and scaling. Experience with containerization (Docker) and orchestration (Kubernetes). Prior experience in the AdTech or Marketing Technology domain. Experience with workflow automation tools like Zapier or Make. Understanding of video processing techniques. What We Offer: The opportunity to be part of a foundational AI Pod with a clear mission and direct impact on business growth. Work on exciting, cutting-edge applications of generative AI in a real-world marketing context. A fast-paced, collaborative, and innovative work environment. The chance to significantly influence the technical direction and success of the AI Pod.

Job Description Join our fast-paced Corporate Oversight and Governance Technology AI/ML team at J.P. Morgan, where your skills and passion will drive innovation and make a significant impact. We offer unparalleled opportunities for career growth and a collaborative environment where you can thrive and contribute to meaningful projects. As an Applied AI ML Senior Associate within the Corporate Oversight and Governance Technology team, you will solve challenging and impactful problems across a wide range of Corporate functions. You will study complex business problems and apply advanced algorithms to develop, test, and evaluate AI/ML applications or models. Working with the firm’s rich data pool using Python/Spark via AWS, you will derive business insights and present them to non-technical audiences, contributing to stronger business programs and improved efficiency. Job Responsibilities Proactively develop understanding of key business problems and processes. Execute tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection. Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Conduct thorough evaluations of generative models (e.g., GPT-4), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications. Implement monitoring mechanisms to track model performance in real-time and ensure model reliability. Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences. Generate structured and meaningful insights from data analysis and modeling exercises and present them in an appropriate format according to the audience. Collaborate with other data scientists and machine learning engineers to deploy machine learning solutions. Carry out ad-hoc and periodic analysis as required by the business stakeholder, model risk function, and other groups. Required Qualifications, Capabilities, And Skills Formal training or certification in applied AI/ML concepts and 5+ years applied experience Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API. Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API. Experience in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs. Experience with a broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, and XGBoost. Experience with graph analytics and neural networks (PyTorch). Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred Qualifications, Capabilities, And Skills Expertise in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). Familiarity with the financial services industry. 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.

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses. We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale. Responsibilities: Leadership & Management Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment; Drive the roadmap for machine learning projects aligned with business goals; Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery. Machine Learning & LLM Expertise Design, develop, and fine-tune LLMs and other machine learning models to solve business problems; Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction; Stay ahead of advancements in LLMs and apply emerging technologies; Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML. AWS Cloud Expertise Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.); Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS; Ensure best practices in security, monitoring, and compliance within the cloud infrastructure. Technical Execution Oversee the entire ML lifecycle, from research and experimentation to production and maintenance; Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows; Debug, troubleshoot, and optimize production ML models for performance. Team Development & Communication Conduct regular code reviews and ensure engineering standards are upheld; Facilitate professional growth and learning for the team through continuous feedback and guidance; Communicate progress, challenges, and solutions to stakeholders and senior leadership. Qualifications: Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models); Strong expertise in AWS Cloud Services; Strong experience in ML/AI, including at least 2 years in a leadership role; Hands-on experience with Python, TensorFlow/PyTorch, and model optimization; Familiarity with MLOps tools and best practices; Excellent problem-solving and decision-making abilities; Strong communication skills and the ability to lead cross-functional teams; Passion for mentoring and developing engineers.

JOB DESCRIPTION Join our fast-paced Corporate Oversight and Governance Technology AI/ML team at J.P. Morgan, where your skills and passion will drive innovation and make a significant impact. We offer unparalleled opportunities for career growth and a collaborative environment where you can thrive and contribute to meaningful projects. As an Applied AI ML Senior Associate within the Corporate Oversight and Governance Technology team, you will solve challenging and impactful problems across a wide range of Corporate functions. You will study complex business problems and apply advanced algorithms to develop, test, and evaluate AI/ML applications or models. Working with the firm’s rich data pool using Python/Spark via AWS, you will derive business insights and present them to non-technical audiences, contributing to stronger business programs and improved efficiency. Job Responsibilities Proactively develop understanding of key business problems and processes. Execute tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection. Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Conduct thorough evaluations of generative models (e.g., GPT-4), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications. Implement monitoring mechanisms to track model performance in real-time and ensure model reliability. Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences. Generate structured and meaningful insights from data analysis and modeling exercises and present them in an appropriate format according to the audience. Collaborate with other data scientists and machine learning engineers to deploy machine learning solutions. Carry out ad-hoc and periodic analysis as required by the business stakeholder, model risk function, and other groups. Required Qualifications, Capabilities, and Skills Formal training or certification in applied AI/ML concepts and 5+ years applied experience Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API. Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API. Experience in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs. Experience with a broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, and XGBoost. Experience with graph analytics and neural networks (PyTorch). Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred Qualifications, Capabilities, and Skills Expertise in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). Familiarity with the financial services industry. 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.

Job Description: Role Overview We are seeking a seasoned Team Lead or Manager with proven experience in managing mid sized teams 15 20 members within the Legal Process Management LPM domain The ideal candidate will possess strong expertise in contract management concepts and demonstrate exceptional leadership operational and client management capabilities This role requires a Pune based professional who is flexible with working hours to meet dynamic business needs Key Responsibilities: Lead and manage day to day operations of a legal process team Ensure adherence to service level agreements SLAs and quality standards Drive process compliance audit readiness and knowledge management initiatives Prepare and circulate operational reports daily weekly monthly using MS Office tools Handle client feedback and escalations with timely root cause analysis and resolution Collaborate with internal teams and client stakeholders to ensure consistent delivery Support training transition and transformation initiatives with a focus on technology enablement Monitor and improve quality risk information security and process progression metrics Identify and implement process improvement opportunities and contribute to growth strategies Key Responsibilities Lead and manage day to day operations of a legal process team Ensure adherence to service level agreements SLAs and quality standards Drive process compliance audit readiness and knowledge management initiatives Prepare and circulate operational reports daily weekly monthly using MS Office tools Handle client feedback and escalations with timely root cause analysis and resolution Collaborate with internal teams and client stakeholders to ensure consistent delivery Support training transition and transformation initiatives with a focus on technology enablement Monitor and improve quality risk information security and process progression metrics Identify and implement process improvement opportunities and contribute to growth strategies Required Skills Qualifications Strong legal aptitude with a solid understanding of contract management terminology and structure Hands on experience in interpreting complex contracts excluding litigation or court practice Proficient in legal summarization and documentation Excellent communication skills written and verbal Strong decision making abilities and problem solving skills Advanced proficiency in MS Office tools Excel Pivot Tables Formulas PowerPoint Word Outlook Effective team and client interfacing skills ability to work independently Familiarity with project management concepts is a plus Demonstrated flexibility to extend working hours based on business requirements Outstanding people management and interpersonal skills Additional Responsibilities: Preferred Attributes Proactive and self driven with a commitment to continuous improvement Ability to manage multiple priorities and deliver under pressure Strong analytical mindset with attention to detail Experience in governance and compliance frameworks Preferred Skills: LPM

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. Job Type: Full-time Pay: ₹20,000.00 - ₹40,000.00 per month Education: Bachelor's (Required) Work Location: In person

Country India Working Schedule Full-Time Work Arrangement Hybrid Relocation Assistance Available No Posted Date 23-May-2025 Job ID 8930 Description And Requirements Serve as Product Owner Salesforce Email (Insight Connect) and Agent Desktop (Salesforce Insight) that supports MetLife Global Customer Service and Operations. Agility to keep himself updated with relevant technologies and can implement the same to decrease costs, increase performance and positively affect the bottom line. Responsible for understanding customer requirements, designing and routing strategies, and integrating call flows. Deep understanding and experience with Email and Case Management, Metrics for Case Management Build, integrate, and enhance product roadmap by prioritizing epics, features and stories in the backlog that execute the strategic vision. Experience with both Salesforce Classic and Lightning preferred Deep understanding of Salesforce CoPilot capabilities Deep understanding and experience with Artificial Intelligence (AI) in terms of customer and Contact Center associate experience (e.g. knowledge of co-pilot, Next Best Action, automation driven based upon intent, knowledge driven based upon intent, call summarization, post call wrap/import speech analytics for post call wrap, tracking utilization of Co-Pilot) Experience building out and executing Artificial Intelligence (AI) strategies that translates to achieving KPIs (e.g. AHT, etc.) and other OKRs that are important to stakeholders. Draw insights and present results clearly to facilitate sound decision-making on next steps. Engage business owners and leaders in conversations about their business strategies and recommend Artificial Intelligence (AI) technology solutions to support those strategies. Monitor development of product stories during sprints and iterations, escalate issues and remove blockers. Establish plan for roll-out / release of new features and functionality and define, measure and report on product analytics, performance, and success. Partner with Application Development to lead discovery on new concepts, including determining and refining business value, and customer value based upon technical feasibility. Take part in cross functional system demos, review UAT, ensure post-production check out is completed and monitor/prioritize post-production issues. Build and manage relationships across several stakeholders, including Contact Center LOBs, Digital, Application Development, Risk/Security, etc. Ability to put structure around complex projects that maybe undefined or fluid in nature. Subject matter expert in Salesforce profiles, roles and permissions Subject matter expert in Salesforce reporting About MetLife Recognized on Fortune magazine's list of the 2025 "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™ for 2024, MetLife , through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible. Join us!

Position Overview: LezDo TechMed is seeking a highly skilled and motivated Medical Record Analyst -Team Leader to join our Health care medical-legal service company. The Team Leader will be responsible for leading a team of Medical Record Reviewers, ensuring the accuracy and compliance of medical records, and facilitating the smooth operation of the department. The ideal candidate should have strong leadership qualities, in-depth knowledge of medical record review processes, and a commitment to maintaining the highest standards of patient confidentiality and regulatory compliance. Key Responsibilities: Leadership and Team Development: Lead, Coach, and Mentor a Team: Provide guidance and support to a team of medical record reviewers, nurturing their professional growth and development. Positive Work Environment: Create a positive and inclusive work atmosphere by fostering recognition, empowerment, attentive listening, embracing diversity, and setting an exemplary standard for others. Workload and Process Management: Assign tasks to team members based on workload and prioritize tasks to meet defined timelines. Anticipate workload fluctuations and allocate resources effectively to achieve departmental objectives. Manage the review of complex medical records, ensuring precision and compliance with industry standards and regulations. Quality Assurance: Implement Quality Assurance Protocols: Develop and implement quality assurance protocols to uphold high standards of accuracy and completeness in record reviews. Privacy and Security: Ensure team members adhere to privacy and security standards, including HIPAA compliance, when handling medical records. Process Improvement: Collaborate with project stakeholders to establish and refine processes, aiming for efficiency and effectiveness. Develop and maintain standard operating procedures (SOPs) to guide the teams activities. Communication and Collaboration: Foster effective communication within the team and with other projects stakeholders. Collaborate with project managers, clients, and other departments to ensure project goals are met. Skills Required: Proven leadership in overseeing medical records analysis and healthcare documentation teams. Exceptional attention to detail with a strong commitment to data accuracy and integrity. Expertise in managing and optimizing data management systems and healthcare software tools. Advanced analytical and critical thinking skills to drive informed decision-making and problem-solving. Strong verbal and written communication skills for effective team coordination and stakeholder reporting. Demonstrated ability to manage multiple projects and meet tight deadlines while maintaining quality. Extensive experience in quality assurance, auditing processes, and implementing corrective action plans. Agile and adaptable leader with the ability to learn quickly and integrate new tools, workflows, and technologies. Hands-on experience managing Med-Legal or life insurance documentation projects. Thorough understanding of HIPAA, GDPR, and other data privacy and compliance regulations. Requirements Minimum of 5 years of experience in a leading role and preferably in Medical summarization. Proven ability to lead and inspire teams to achieve success. Strong organizational, communication, and interpersonal skills. Demonstrated ability to manage multiple projects and priorities. Benefits Paid Sick leave, Casual leave and compensatory leave and Fixed week offs Statutory Benefits (PF) and Health Insurance Paid Parental leaves based on the company norms (Maternity & Paternity) To help Employees Children Education support Holidays based on Indian & US Employee Reward Program

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