402 Summarization Jobs

Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 22,700 associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description Education and Work Experience Requirements: 5 to 8 years of experience as Data Scientist or GenAI specialist· 2 to 3 years of experience in Generative AI solution development. Proven track record and experience with with GenAI technologies Open source LLMs like Llama, Gemma, Mixtral etco Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etco Prompt Engineering/Tuning, RAG, RAFT, LLM finetuning such as PEFT(LoRA, QLoRA ..) Understanding of SLMs such as Phi3, BERT and Transformer architectureo Vector databases like Pincone, Qdrant etc. Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model Expertise with the following scripting languages:o Python, R, Tensorflow, Keras, Pytorch OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs Good and experience of machine learning algorithms and ability to apply them in supervised and un-supervised NLP tasks. Knowledge of NLP algorithms that can handle various NLP tasks such as intent recognition, entity extraction, language modeling, text classification, question answering, text summarization, topic modeling and so on. Experience building and fine-tuning Language Models (LMs), such as BERT, ELMo, XLNet etc to solve bespoke NLP tasks. Tech savy and willing to work with open-Source Tools Should have independently handled a project technically and provided directions to the other Team Members. Able to lead the project independently. Experience in turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through development. Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company. Good to have foundational knowledge on Cloud, API frameworks like Flask, Fast API, Swagger/Postman tools Prior experience working on Mobility or Healthcare domain will be a plus Mandatory Skills: · Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc. · Experience in cloud services like Azure, GCP and AWS· Interact with our research team and with key partners in the market to build end-to-end AI/ML/NLP solutions: Conversational AI, document understanding and QnA. Mine and analyze data, applying statistical methods as necessary, pertaining to customers’ discovery, and viewing experiences to identify critical product insights. Proactively develop new metrics and studies to quantify the value of different aspects of product. Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization. Translate analytic insights into concrete, actionable recommendations for business or product improvement. Build and improve reusable tools & modelling pipelines and support knowledge sharing across several teams. Define and deploy best practices in Machine Learning & MLOps/LLMOps, mentor and teach colleagues. Partner closely with product and engineering leaders throughout the lifecycle of project Additional Information: A Master’s or PhD is preferred (Computer Science / Machine Learning/ Mechanical, etc) from tier 1 institutions. If Bachelors, Machine Learning or Computer Science specialization only Qualifications BE,BTech,MS, MTech or MCA Additional Information 7 to 10 years

Title: Executive Date: Jun 23, 2025 Location: Tandalja - R&D Company: Sun Pharmaceutical Industries Ltd Roles and Responsibilities Role requires awareness on Project management methodologies and end to end project life cycle knowledge. Risk/Issue Management, Change Management, Re-prioritization, Optimization and Automating activities will be key requirement for the role Experience with working, managing and analysing huge data sets. RAG Reporting and escalate things on timely manner to avoid impact on deliverables. Prioritization, On Time Delivery, Excellent in Data Handling, Analysing and Summarization of the outcome. Automations, Dashboard and CCPM Tool report management, Budget and work plan management, global portfolio and project tracking, Review management, and MIS Readiness will be some of the key activities where in a person will be supporting Meeting Management, Stake holder’s management and understanding requirement and delivering outcome oriented analytics, which can help in decision making which is data driven. Key Skills Role will require excellent communication skills, good in co-ordinations, team player and will be required to work with all stake holders and departments within and outside R&D. Good with analytics, logical and lateral thinking, advance excel with key formulas, MS Office, MS Projects and power point knowledge, added advantage if aware of macros, SQL Queries and Dashboards. Innovative thinker, Flexible Approach, Go-getter with leadership skills as role requires interactions and getting work done with support of Peers, juniors, seniors and Leadership team. Qualification Bachelors or Masters in Any Field. PMP/Prince 2 Certified in Project Management

We are for Medical Records Summarization (Only Life Science Candidates) Candidates should relocate to Coimbatore location. Role – Medical Record Summary Department: Clinical Support Solutions Key Responsibilities: ● Demonstrate understanding of medical terminology to accurately interpret and summarize medical records. ● Maintain strict confidentiality and adhere to HIPAA regulations while handling sensitive claimant information. ● On successful completion of training, the executive has to clear quality benchmarks in order to deliver work directly to the Customer, within stipulated timelines. ● Review and analyze medical records to extract relevant information. ● Create concise and accurate summaries of medical history, treatment, and outcomes. ● Ensure summaries are clear, comprehensive, and free of errors. ● Be thorough with client profile, references, and author specific instructions. ● Adhere to the schedule provided by Team Manager/Director to ensure Customer deliverables are met. Prioritize workload to ensure that reports are completed within defined timelines. ● Diligently adhere to standard summarization rules to ensure Customer satisfaction. ● Review correction reports on a daily basis to avoid repetitive errors. ● Be open to learning and adapting to changes in processes, software, and healthcare standards to ensure that medical summaries are correct and complete. Role Prerequisites: * Salary Package CTC - 2.15 LPA, Take home - 13,000 + Attractive incentives upto 10,000. * This role will require work in Day Shift. * The standard shift timings are from 7.00 am to 4.00 pm (9 hours shift); however, the candidates should be flexible to work in the night shift * This role is totally Work from office. * Working days - 5-day work week ( Tuesday to Saturday) * The candidate is required to sign a MOU for a duration of six months, during which they must work with us for a minimum of six months. Interested candidates can share their resume to atuldev.vinoth@ikshealth.com

Job purpose: Design, develop, and deploy end-to-end AI/ML systems, focusing on large language models (LLMs), prompt engineering, and scalable system architecture. Leverage technologies such as Java/Node.js/NET to build robust, high-performance solutions that integrate with enterprise systems. Who You Are: Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. PhD is a plus. 5+ years of experience in AI/ML development, with at least 2 years working on LLMs or NLP. Proven expertise in end-to-end system design and deployment of production-grade AI systems. Hands-on experience with Java/Node.js/.NET for backend development. Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers). Key Responsibilities: 1. Model Development & Training: Design, train, and fine-tune large language models (LLMs) for tasks such as natural language understanding, generation, and classification. Implement and optimize machine learning algorithms using frameworks like TensorFlow, PyTorch, or Hugging Face. 2. Prompt Engineering: Craft high-quality prompts to maximize LLM performance for specific use cases, including chatbots, text summarization, and question-answering systems. Experiment with prompt tuning and few-shot learning techniques to improve model accuracy and efficiency. 3. End-to-End System Design: Architect scalable, secure, and fault-tolerant AI/ML systems, integrating LLMs with backend services and APIs. Develop microservices-based architectures using Java/Node.js/.NET for seamless integration with enterprise applications. Design and implement data pipelines for preprocessing, feature engineering, and model inference. 4. Integration & Deployment: Deploy ML models and LLMs to production environments using containerization (Docker, Kubernetes) and cloud platforms (AWS/Azure/GCP). Build RESTful or GraphQL APIs to expose AI capabilities to front-end or third-party applications. 5. Performance Optimization: Optimize LLMs for latency, throughput, and resource efficiency using techniques like quantization, pruning, and model distillation. Monitor and improve system performance through logging, metrics, and A/B testing. 6. Collaboration & Leadership: Work closely with data scientists, software engineers, and product managers to align AI solutions with business objectives. Mentor junior engineers and contribute to best practices for AI/ML development. What will excite us: Strong understanding of LLM architectures and prompt engineering techniques. Experience with backend development using Java/Node.js (Express)/.NET Core. Familiarity with cloud platforms (AWS, Azure, GCP) and DevOps tools (Docker, Kubernetes, CI/CD). Knowledge of database systems (SQL, NoSQL) and data pipeline tools (Apache Kafka, Airflow). Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Ability to work in a fast-paced, collaborative environment. What will excite you: Lead AI innovation in a fast-growing, technology-driven organization. Work on cutting-edge AI solutions, including LLMs, autonomous AI agents, and Generative AI applications. Engage with top-tier enterprise clients and drive AI transformation at scale. Location: Ahmedabad

Search by Keyword Search by Location Show More Options Loading... Location All Select How Often (in Days) To Receive An Alert: Create Alert Select How Often (in Days) To Receive An Alert: Apply Now » Apply Now Start applying with LinkedIn Please wait... Title: Executive Date: Jun 23, 2025 Location: Tandalja - R&D Company: Sun Pharmaceutical Industries Ltd Roles And Responsibilities Role requires awareness on Project management methodologies and end to end project life cycle knowledge. Risk/Issue Management, Change Management, Re-prioritization, Optimization and Automating activities will be key requirement for the role Experience with working, managing and analysing huge data sets. RAG Reporting and escalate things on timely manner to avoid impact on deliverables. Prioritization, On Time Delivery, Excellent in Data Handling, Analysing and Summarization of the outcome. Automations, Dashboard and CCPM Tool report management, Budget and work plan management, global portfolio and project tracking, Review management, and MIS Readiness will be some of the key activities where in a person will be supporting Meeting Management, Stake holder’s management and understanding requirement and delivering outcome oriented analytics, which can help in decision making which is data driven. Key Skills Role will require excellent communication skills, good in co-ordinations, team player and will be required to work with all stake holders and departments within and outside R&D. Good with analytics, logical and lateral thinking, advance excel with key formulas, MS Office, MS Projects and power point knowledge, added advantage if aware of macros, SQL Queries and Dashboards. Innovative thinker, Flexible Approach, Go-getter with leadership skills as role requires interactions and getting work done with support of Peers, juniors, seniors and Leadership team. Qualification Bachelors or Masters in Any Field. PMP/Prince 2 Certified in Project Management Apply Now » Apply Now Start applying with LinkedIn Please wait...

About Lowe’s Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India About The Team Internal Audit is an independent assurance/advisory function reporting functionally to the audit committee of the Board and administratively to the Finance function(CFO). IA is responsible for planning, executing, and reporting operational, compliance, financial, and technology audits. Job Summary This role will assist the Lead Auditors in the administration of Internal Audit’s SOX GCCs Oversight program and in conducting risked based Technology Audits. For Technology Audits, Internal Audit at Lowe's focuses primarily on value-add, risked based technology audits with high visibility to Lowe's Leadership. The primary purpose of this role is to work closely with the Lead Auditors and project teams by assisting in planning, developing and executing of audit testing. Additionally, the Staff Auditor prepares inputs to written communication and deliverables for audit engagements involving the use of data analytic skills, process analysis, and critical thinking. Overall, this role will assist in audits that evaluate the effectiveness of internal controls established to manage Lowe's most significant risks. The SOX GCCs Oversight responsibilities include assisting the Lead/Senior auditors with a combination of SOX planning activities, performing independent SOX testing, reviewing management’s testing, and driving SOX-related administrative activities such as reporting of internal controls over financial reporting, as well as, continuous improvement of the program. The role will be the liaison for SOX related activities with Management and the external auditors. Engagement with Management includes consulting on controls/narratives, training on best practices, and oversight of Management testing, as well as routine quarterly SOX procedures. Roles & Responsibilities Assists with Internal Audit’s oversight role in the Company's in Tech Audits & SOX 404 assessment, including Audit & SOX program planning activities, performing independent testing, reviewing management’s testing, and driving audit-related administrative activities such as reporting of internal controls over financial reporting. Identifies and documents aspects of the organization's systems and processes that do not comply with regulations, laws, and standards or do not comply with the organization's policies and operating procedures Assist in identifying key risks, develops process mapping and conducts testing for in-scope controls. Collects preliminary data and conducts analysis and assists Lead and Senior Auditor in detecting deficient controls, inefficiencies, duplicated effort, extravagance, fraud, or non-compliance with laws, regulations, and management policies Performs data analysis to deliver valuable insights to management, when applicable Assists Lead/Senior Auditor in the detailed report and summarization of audit findings Provides support for coordinating with the client and management to ensure project timelines are met Organizes resources, information, and significant findings from root cause, risk exposure, and management analysis. Responsible for work paper standards. Participates in rotational committee work such as internal quality reviews, issue follow up and training coordination to gain extensive knowledge and experience in key audit functional areas Project Management Assists the Senior Auditor in coordinating with the client and management to ensure project milestone timelines are met Applies basic knowledge of Operations, Finance, and Analysis to ensure efficiency throughout the audit engagement. Utilizes internal resources to assist when audit topics require intermediate to advanced knowledge Continuously develops knowledge of audit tools and techniques to ensure quality audit work Completes assigned audit plan within the established deadlines following Lowe’s Audit Methodology Project Communication Assists Senior Auditor in ensuring significant findings, root causes, risk exposures, and management action plans are concise and documented in a timely manner Communicates audit exceptions and other items of concern in a timely manner to the audit team and clients Develops client relationships professionally through consistent dialogue and open communications throughout the audit process Proactively collaborates and promotes knowledge share within the Internal Audit team Business Influence Meets or exceeds customers’ expectations, looks for ways to improve their experience while creating a seamless experience by understanding how the Staff Auditor role, team goals, and daily activities fit into the company vision Drives for results by consistently achieving goals and pushing to complete tasks by their deadlines Collaboration With Others Works cross-functionally to manage and organize work processes and ensure the most efficient workflow Supports a collaborative environment by working in a team of peers to solve problems and shares information with peers, manager, and customers as appropriate Self Development Organizes resources and information in an efficient manner to handle competing demands and accomplish what needs to be done Years Of Experience 1 to 3.5 years post qualification experience Education Qualification & Certifications (optional) Required Minimum Qualifications Bachelor’s degree in a technology-related field, like BTech, BCA, MCA, relevant audit experience, SOX, Accounting Retail business experience, Public Accounting experience, Big 4 or technology driven company experience is a plus CPA/CA, CIA, CISA, or related field (optional) Skill Set Required Primary Skills (must have) Auditing experience SOX GCC testing experience Risked Based technology Audit experience Report writing and written communication Secondary Skills (desired) Project management Negotiation Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.

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.