895 Summarization Jobs - Page 11

Senior Manager EXL/SM/1422447 ServicesGurgaon Posted On 15 Jul 2025 End Date 29 Aug 2025 Required Experience 10 - 15 Years Basic Section Number Of Positions 3 Band C2 Band Name Senior Manager Cost Code D001713 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 1500000.0000 - 2500000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group Analytics Sub Group Analytics - UK & Europe Organization Services LOB Analytics - UK & Europe SBU Analytics Country India City Gurgaon Center EXL - Gurgaon Center 38 Skills Skill DATA SCIENCE Minimum Qualification B.COM Certification No data available Job Description Role Overview: We are seeking a highly skilled and forward-thinking Manager – Data Science & Generative AI to lead data-driven innovation within our organization. This role requires a blend of technical expertise in machine learning and GenAI, team leadership, and strategic thinking to build scalable solutions and drive business transformation through intelligent systems. As a Manager, you will lead cross-functional teams, guide AI/ML project lifecycles, and help deploy Generative AI models into real-world applications, ranging from content generation to intelligent automation. Key Responsibilities: Lead the end-to-end lifecycle of data science and Generative AI projects—from problem scoping and data exploration to model deployment and performance monitoring. Manage a team of data scientists and ML engineers, providing technical guidance and mentorship. Develop and implement advanced machine learning models including deep learning, NLP, and GenAI architectures (e.g., transformers, LLMs). Collaborate with product, engineering, and business teams to identify AI opportunities, define use cases, and deploy innovative solutions. Evaluate and fine-tune pre-trained foundation models (e.g., GPT, Claude, LLaMA, Gemini) for domain-specific applications using prompt engineering, fine-tuning, or retrieval-augmented generation (RAG). Lead the creation of synthetic data, content generation, and intelligent assistants using GenAI capabilities. Drive responsible AI practices and ensure model transparency, fairness, and compliance with ethical and regulatory guidelines. Contribute to strategic roadmaps for AI adoption across the enterprise. Present findings, models, and strategies to stakeholders and senior leadership. Required Skills & Experience: 6–10 years of experience in Data Science or AI/ML, including at least 2–3 years in a managerial or lead role. Strong proficiency in Python and data science libraries (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch). Proven experience in building and deploying ML models in production environments. Solid experience working with Generative AI tools and platforms (e.g., OpenAI APIs, Hugging Face, LangChain, Vertex AI, Azure OpenAI). Expertise in NLP, LLMs, prompt engineering, fine-tuning, and text generation. Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps pipelines. Strong understanding of data engineering concepts, APIs, and scalable architectures. Excellent problem-solving, project management, and communication skills. Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field (PhD is a plus). Nice to Have: Experience with Retrieval-Augmented Generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate). Familiarity with model safety, explainability (XAI), and ethical AI frameworks. Publications or contributions in AI/ML conferences or open-source projects. Hands-on experience in GenAI use cases like document summarization, chatbots, code generation, or marketing automation. Workflow Workflow Type Back Office

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.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Responsibilities Requirements (including experience, skills, and additional qualifications) Convert business problem into analytical problem and devise a solution approach. Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 4+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks like LangChain and Llama Index. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis, Sentence Computer Vision- Image Classification, Object Detection, Tracking etc. SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What We Look For A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Summary: We are seeking a talented and motivated AI Engineer to join our team and focus on building cutting-edge Generative AI applications. The ideal candidate will possess a strong background in data science, machine learning, and deep learning, with specific experience in developing and fine-tuning Large Language Models (LLMs) and Small Language Models (SLMs). You should be comfortable managing the full lifecycle of AI projects, from initial design and data handling to deployment and production monitoring. A foundational understanding of software engineering principles is also required to collaborate effectively with engineering teams and ensure robust deployments. Responsibilities: Design, develop, and implement Generative AI solutions, including applications leveraging Retrieval-Augmented Generation (RAG) techniques. Fine-tune existing Large Language Models (LLMs) and potentially develop smaller, specialized language models (SLMs) for specific tasks. Manage the end-to-end lifecycle of AI model development, including data curation, feature extraction, model training, validation, deployment, and monitoring. Research and experiment with state-of-the-art AI/ML/DL techniques to enhance model performance and capabilities. Build and maintain scalable production pipelines for AI models. Collaborate with data engineering and IT teams to define deployment roadmaps and integrate AI solutions into existing systems. Develop AI-powered tools to solve business problems, such as summarization, chatbots, recommendation systems, or code assistance. Stay updated with the latest advancements in Generative AI, machine learning, and deep learning. Qualifications: Proven experience as a Data Scientist, Machine Learning Engineer, or AI Engineer with a focus on LLMs and Generative AI. Strong experience with Generative AI techniques and frameworks (e.g., RAG, Fine-tuning, Langchain, LlamaIndex, PEFT, LoRA). Solid foundation in machine learning (e.g., Regression, Classification, Clustering, XGBoost, SVM) and deep learning (e.g., ANN, LSTM, RNN, CNN) concepts and applications. Proficiency in Python and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). Experience with data science principles, including statistics, hypothesis testing, and A/B testing. Experience deploying and managing models in production environments (e.g., using platforms like AWS, Databricks, MLFlow). Familiarity with data handling and processing tools (e.g., SQL, Spark/PySpark). Basic understanding of software engineering practices, including version control (Git) and containerization (Docker). Bachelor's or master’s degree in computer science, Artificial Intelligence, Data Science, or a related quantitative field. Preferred Skills: Experience building RAG-based chatbots or similar applications. Experience developing custom SLMs. Experience with MLOps principles and tools (e.g., MLFlow, Airflow). Experience migrating ML workflows between cloud platforms. Familiarity with vector databases and indexing techniques. Experience with Python web frameworks (e.g., Django, Flask). Experience building and integrating APIs (e.g., RESTful APIs). Basic experience with front-end development or UI building for showcasing AI applications. Qualifications Bachelorʼs or Masterʼs degree in Computer Science, Engineering, or a related discipline.

JD : Senior Business Intelligence Partner Randstad Sourceright is a global talent leader, providing solutions and expertise that help companies position for growth, execute on strategy, and improve business agility. Our experience encompasses all facets of the talent acquisition of permanent employees and the contingent and contractor workforce. Key offerings include Managed Services Provider (MSP) programs, Recruitment Process Outsourcing (RPO), and Blended Workforce Solutions. Randstad Sourceright offers solutions Globally in North America, EMEA, and APAC. Working for a multi-country organization means working with clients and colleagues from different backgrounds. This results in a digital way of working and requires a proactive and culturally inclusive mindset. Purpose of the job : This role aims to partner with the Regional and Global Stakeholders within RSR (who can include but are not limited to Operational Teams, Data engineering, BI Support Teams, Internal teams, and RSR clients) and provide business solutions through data driven insights/recommendations. We're seeking someone with a flair for data storytelling to join our team. In this role, you'll transform complex data into compelling narratives that drive business decisions. This position has operational and technical responsibility for driving data insights, analytics, and consulting across all operating companies within RSR. This position will develop processes and strategies to consolidate, automate, and improve problem solving for external clients and internal stakeholders. As a Snr Business Intelligence Partner, you will oversee the end-to-end delivery of regional and global accounts with respect to data and analytics. This will include working with data engineering to provide usable datasets, creating dashboards with meaningful insights & visualizations within our BI solution (DOMO), and ongoing communication and partnering with the stakeholders. The key to this is that as a Business Intelligence Partner, you will be a commercial and operational expert who can translate data into insights. You will use this to mitigate risk, find operational and revenue-generating opportunities, and provide business solutions. Position Summary Consulting / Partnering (60%): ● Leverage data analytics to extract actionable insights from external client and internal RSR data, to help drive strategic business decisions ● Analyze the client’s data to present the account leadership and client with potential approaches to identify service delivery improvement opportunities and value-added initiatives ● Conduct in-depth data analysis to uncover revenue-generating opportunities, supporting account leadership with data-driven recommendations. ● Serve as a key liaison between clients, operations teams, and data engineering, translating business needs into technical requirements ● Actively collect and monitor stakeholder feedback to quantify Data and Analytics impact and ROI ● Collaborate with global teams to standardize data practices and share analytics best practices, along with coaching/mentoring junior team members ● Apply expertise in data visualization and storytelling to effectively communicate complex insights to stakeholders ● Build and maintain client/stakeholder relationships through consistent improvement and delivery of high-value data analytics ● Provide thought leadership in business intelligence and data analytics methodologies ● Liaise with client program owners and ATS Vendors/Partners to optimize data integration and reporting capabilities Implementation of BI solutions (30%): ● Be the implementation workstream lead responsible for delivering a reporting suite and introductory standard for the account and client. ● Provide recommendations on organizing the same concept offerings to appropriate ‘tier-based’ programs currently licensed for DOMO/Talent Radar. (tier-based program requirements TBD). Responsible for ensuring all contractual conditions around reporting, financial elements, SLA's, and KPI's are reviewed, understood, and adhered to ● Assess operating reality to validate solution requirements and adjust as needed. ● Implement and reinforce tools, including standards, procedures, and documentation. ● Ensure the team has living documentation on reporting requirements, data processes, and other program-specific content. ● Oversee the design and build of insightful, scalable, and actionable visualizations. ● Develop, document, and maintain a comprehensive quality management program ● Build, implement, and schedule production standards of files and reports to ensure accuracy and timeliness. ● Ensure reporting quality and accuracy by evaluating, integrating, and complementing data sources. ● Execute continuous process improvement process. ● Knowledge of general database functions, data storage, data models, SQL, and data transfer protocols Maintain Standards (10%): ● Work within the agreed parameters aligned to the global method of BI production ● Leverage an agile work environment to incorporate new innovative and value components into existing portfolios ● Organize a feedback standard from stakeholders (internal and external) in order to create use cases, case study materials and other customer-facing material (coordinate with RFP and sales approach as appropriate) ● Promote available resources and enterprise tools for operations training/ coaching needs from a BI perspective. ● Ensure data governance principles and guidelines are being met Education ● Bachelor’s degree preferred (EMEA), mandatory (APAC) ● Master’s degree a plus Mandatory Experience ● 8+ years experience in data analytics and/or consulting in a delivery environment ● Experience with DOMO (or other visualization tools such as Tableau, Spotfire, PowerBI) and GCP ● Management Information/Business Intelligence/Analytics background is essential ● Project Management and/or process improvement experience ● Talent Acquisition/MSP/RPO/People Analytics experience Preferred Experience: ● Advanced Analytics/Data science/AI/ML experience preferred Knowledge, Skills, and Abilities: ● Technical Skills: ○ Data Visualization: ■ Expertise in data visualization tools such as DOMO, Tableau, Spotfire, Qlikview, Power BI - understanding of data visualization methods including usage of various chart types and dashboarding ○ Data Manipulation: ■ Proficiency in data cleansing and preprocessing techniques to ensure data quality ■ Strong SQL skills for data extraction, transformation, and analysis ■ Proficiency in advanced Excel, including macros, pivot tables, and data modeling ■ Knowledge of data governance principles and best practices for maintaining data integrity ○ Analytics: ■ Knowledge of key descriptive analytics techniques including but not limited to data summarization (central tendency, dispersion etc.), data visualization methods, time series analysis, correlation analysis, cross- tabulation, frequency distributions, Pareto analysis, cohort analysis, funnel analysis, RFM analysis, exploratory data analysis, and basic cluster analysis for segmentation ■ Proficiency in data mining techniques to uncover patterns and trends in large datasets ■ Experience with predictive modeling for forecasting and decision support, knowledge of A/B testing methodologies to drive continuous improvement, and the ability to apply statistical techniques to inform strategy and investment decisions is a plus ● Client-facing Experience: ○ Communication: ■ Excellent communication and facilitation skills required for various levels throughout external and internal organizational stakeholders ○ Presentation & Storytelling: ■ Expertise in narrative structures and audience analysis, so as to create compelling data narratives that aid driving business decisions ■ Excellent presentation skills used in delivering solutions to senior leadership and client stakeholders ■ Skilled in translating data insights into clear, non-technical language for diverse stakeholders ■ Demonstrated continuous improvement, process documentation, and workflow skills

At PitchBook, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About the Role: As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! PitchBook’s Data Science and Machine Learning team has a clear mission: leverage cutting-edge machine learning and cloud technologies to automatically research private markets and improve the navigability of our platform. The Senior Data Scientist is responsible for using machine learning, deep learning, GenAI and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for our users. This role requires a strong desire to learn and deliver value through scalable machine learning/AI systems. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team. Primary Job Responsibilities: Leverage a sound understanding of data to improve decision-making, and deliver insights through various data analysis techniques, including advanced skills in acquiring, processing, and wrangling data from multiple sources using tools and techniques like ETL, APIs, and data visualization. Apply various modeling techniques, while fusing data sources using pre-processing methods like transformation and normalization including employing data cleaning techniques for both structured and unstructured data, conducting exploratory data analysis, and extracting insights to inform business decisions through iterative exploration and hypothesis testing. Source additional information and solutions through research and relevant libraries, including assisting in applying best practice model fit testing, tuning, and validation techniques to assess model performance, considering data attributes like dataset size and partitioning. Develop and optimize machine learning & deep learning models such as regression, classifiers, ensemble techniques (bagging, boosting, stacking etc.), transformers based Open Source LLMs and Chat GPT including prompt engineering for NLP tasks such as Summarization, Sentiment Analysis, Information Extraction and collaborate with cross-functional teams to integrate solutions into products, besides staying updated with AI/ML advancements especially in GenAI. Proficiency in advanced statistical analysis and methods like regression analysis, time series analysis, and hypothesis testing. Creatively solve problems and develop effective solutions, along with an understanding of business goals and industry trends to align data projects with strategic objectives. Strong verbal and written communication skills to convey complex data insights to stakeholders, combined with efficient project management to ensure timely and within-budget completion. Familiarity and practical skills with various data science and analytics tools, programming skills in languages like Python, and the ability to interpret moderately complex scripts. Skills and Qualifications: Bachelor's/Master's degree in Computer Science, Machine Learning, Statistics, or related fields 4+ years of experience building predictive models (Classical ML models, Neural Network based Deep Learning models, Transformer based GenAi models etc.) using Python in a production environment 4+ years of demonstrated experience with natural language processing (NLP) 4+ years of demonstrated experience with Python Demonstrate experience using complex SQL queries for data extraction and transformation Strong communication and data presentation skills Strong problem-solving ability Ability to communicate complex analysis in a clear, precise, and actionable manner Experience working closely with software development team(s) is a plus Experience building scalable systems in production is a plus Knowledge of financial services, investment, banking, venture capital, or private equity is desired but not required Working Conditions This employee will work in a standard office setting. Some flexibility with work-from-home is a possibility. Employees in this position use a computer on an ongoing basis throughout the day. Morningstar is an equal opportunity employer. Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues. I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

The HiLabs Story HiLabs is a leading provider of AI-powered solutions to clean dirty data, unlocking its hidden potential for healthcare transformation. HiLabs is committed to transforming the healthcare industry through innovation, collaboration, and a relentless focus on improving patient outcomes. HiLabs Team Multidisciplinary industry leaders Healthcare domain experts AI/ML and data science experts Professionals hailing from the worlds best universities, business schools, and engineering institutes including Harvard, Yale, Carnegie Mellon, Duke, Georgia Tech, Indian Institute of Management (IIM), and Indian Institute of Technology (IIT). As a Data Scientist at HiLabs, you will partner closely with a team of stake holders, product managers, and data engineers to solve real problems in healthcare domain. HiLabs is looking for great problem solvers who can tap into the potential of data and deliver scalable and robust data products. Our potential member would work on developing and implementing machine learning algorithms for various HiLabs Products and Solutions. Responsibilities Leveraging AI/ML techniques and solutions to identify and mathematically interpret complex healthcare problems. Deploy and optimize machine learning solutions on massive datasets using big data technologies. Develop and prototype AI algorithms and software tools. Implement enhancements to existing algorithmic/deep learning solutions. Conduct quantitative data analysis using a variety of datasets. Increase the efficiency and improve the quality of solutions offered. Understand business use cases and pull the necessary data from various sources to provide key insights to stakeholders. Build and deploy additional functionalities as per client requirements. Leverage recent advances in machine learning technologies and oversee the team’s training. For Lead/Sr. Data Scientists-Lead a team of Data Scientists, developers as well as clinicians to strategize, design and evaluate AI based solutions to healthcare problems. Desired Profile:. Bachelor’s Degree/Master’s Degree in Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields from tier 1 college. Hands-on Software Development Skills (Scala-Preferred). Experience or educational courses/projects in Machine Learning, and/or Text Mining Algorithms. Knowledge of statistical techniques, linear algebra, numerical optimization. Knowledge of ML theory such as bias variance tradeoff, regularization, loss functions and experienced in A/B testing. Know all the general best practices of Machine Learning. Ability to work closely with Domain experts to develop tools/algorithms needed to answer research questions in their studies. Excellent Communication Skills (with the ability to explain developed tools and ML algorithms to a non-technical audience). Ability to formulate operational problems in healthcare domain as technical problems that allows for reuse of leading research in the area. Proven ability to work independently to learn new technologies, techniques, processes, languages, platforms, systems. Strong analytical, inferential, critical thinking, and creative problem-solving skills. Self-starter with ability to work both independently and with a team. Preferred Qualifications Experience with Deep Learning Frameworks such as Keras, Tensorflow, PyTorch,Mxnet etc. Experience with interpretability of deep learning models. Big Data Skills (Hadoop, Spark, recent deep learning platforms). Experience with text mining tools and techniques including in areas of summarization, search (e.g. ELK Stack), entity extraction, training set generation (e.g. Snorkel) and anomaly detection. Expert software development skills including developing and maintaining production quality code HiLabs Total Rewards Competitive Salary, Accelerated Incentive Policies, H1B sponsorship, Comprehensive benefits package that includes ESOPs, financial contribution for your ongoing professional and personal development, medical coverage for you and your loved ones, 401k, PTOs & a collaborative working environment, Smart mentorship, and highly qualified multidisciplinary, incredibly talented professionals from highly renowned and accredited medical schools, business schools, and engineering institutes. CCPA disclosure notice - https://www.hilabs.com/privacy

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

Why MResult? Founded in 2004, MResult is a global digital solutions partner trusted by leading Fortune 500 companies in industries such as pharma & healthcare, retail, and BFSI. MResult’s expertise in data and analytics, data engineering, machine learning, AI, and automation help companies streamline operations and unlock business value. As part of our team, you will collaborate with top minds in the industry to deliver cutting-edge solutions that solve real-world challenges. What We Offer: At MResult, you can leave your mark on projects at the world’s most recognized brands, access opportunities to grow and upskill, and do your best work with the flexibility of hybrid work models. Great work is rewarded, and leaders are nurtured from within. Our values — Agility, Collaboration, Client Focus, Innovation, and Integrity — are woven into our culture, guiding every decision. What This Role Requires: In this role, you will be a key contributor to MResult’s mission of empowering our clients with data-driven insights and innovative digital solutions. Each day brings exciting challenges and growth opportunities. Here is what you will do: R oles and Responsibilities: • Design and implement machine learning models for classification, regression, clustering, NLP, or computer vision tasks. • Build and maintain scalable ML pipelines for training, validation, and deployment. • Optimize model performance and ensure robustness in production environments. • Build and fine-tune large language models (LLMs) for tasks such as summarization, Q&A, content generation, and code synthesis. • Relational AI experience- Design and implement relational knowledge graphs to model complex data relationships. • Use declarative logic and reasoning frameworks to extract insights from structured data. • Integrate AI models into production systems using APIs or microservices. • Work with DevOps/ML-Ops teams to automate model deployment and monitoring. • Ensure model explainability, fairness, and compliance with ethical AI standards. • Work cross-functionally with product managers, analysts, and engineers. • Document model architecture, data pipelines, and performance metrics. Driving Innovation, Empowering Insights • Participate in code reviews and contribute to best practices in AI/ML strategic development. Key Skills to Succeed in This Role: • Bachelor's or master’s degree in computer science, Data Science or AI related field. • 5+ years of relevant experience in AI/ML engineering roles. • Hands-on experience with: • Generative AI models (e.g., GPT, LLaMA, Claude, DALL·E) • Python, PyTorch/TensorFlow, Hugging Face Transformers • Relational data modeling and knowledge graph tools (e.g., SQL, RDF, SPARQL, RelationalAI) • Prototyping tools (Streamlit, Gradio, Flask) • Cloud platforms (AWS, Azure) • Strong understanding of NLP, deep learning, and model evaluation techniques. • Experience with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG). • Familiarity with LangChain, LlamaIndex, or similar GenAI orchestration frameworks. • Exposure to CI/CD, Docker, and Kubernetes for ML deployment. • Strong communication and collaboration skills. Manage, Master, and Maximize with MResult: MResult is an equal-opportunity employer committed to building an inclusive environment free of discrimination and harassment. Take the next step in your career with MResult — where your ideas help shape the future

Responsibilities Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git. Tech Skills (10+ Years Experience): Machine Learning (ML) & Deep Learning Solid understanding of supervised and unsupervised learning. Proficiency with deep learning architectures like Transformers, LSTMs, RNNs, etc. Generative AI: Hands-on experience with models such as OpenAI GPT4, Anthropic Claude, LLama etc. Knowledge of fine-tuning and optimizing large language models (LLMs) for specific tasks. Natural Language Processing (NLP): Expertise in NLP techniques, including text preprocessing, tokenization, embeddings, and sentiment analysis. Familiarity with NLP tasks such as text classification, summarization, translation, and question-answering. Retrieval-Augmented Generation (RAG): In-depth understanding of RAG pipelines, including knowledge retrieval techniques like dense/sparse retrieval. Experience integrating generative models with external knowledge bases or databases to augment responses. Data Engineering: Ability to build, manage, and optimize data pipelines for feeding large-scale data into AI models. Search and Retrieval Systems: Experience with building or integrating search and retrieval systems, leveraging knowledge of Elasticsearch, AI Search, ChromaDB, PGVector etc. Prompt Engineering: Expertise in crafting, fine-tuning, and optimizing prompts to improve model output quality and ensure desired results. Understanding how to guide large language models (LLMs) to achieve specific outcomes by using different prompt formats, strategies, and constraints. Knowledge of techniques like few-shot, zero-shot, and one-shot prompting, as well as using system and user prompts for enhanced model performance. Programming & Libraries: Proficiency in Python and libraries such as PyTorch, Hugging Face, etc. Knowledge of version control (Git), cloud platforms (AWS, GCP, Azure), and MLOps tools. Database Management: Experience working with SQL and NoSQL databases, as well as vector databases APIs & Integration: Ability to work with RESTful APIs and integrate generative models into applications. Evaluation & Benchmarking: Strong understanding of metrics and evaluation techniques for generative models. (ref:hirist.tech)

Position: Medical Summarization/Abstraction/Records Reviewer Immediate Joiners Preferred Roles and responsibilities: Review medical records to ensure they are complete, accurate, and in compliance with all guidelines and regulations. This includes verifying the identity of the patient, the dates of service, the diagnoses, the treatments, and the outcomes. Identify any potential areas of improvement in the documentation. This may involve recommending changes to the format of the records, the use of medical terminology, or the level of detail provided. Summarize medical records for various purposes, such as law enforcement investigations, insurance claims, or research studies. This requires the reviewer to identify the key information in the records and present it in a clear and concise manner. Conduct research on medical topics. This may be necessary to understand the terminology used in the records or to identify potential areas of improvement in the documentation. Stay up-to-date on changes to medical regulations and standards. This ensures that reviewers are able to accurately review medical records in accordance with the latest requirements. In addition to these specific roles and responsibilities, a medical records reviewer should also have the following skills and qualities: At least 3 years of experience in Medical Records review Strong understanding of medical terminology and regulations Ability to identify important information in medical records Excellent communication and writing skills Ability to work independently and as part of a team Attention to detail and accuracy Commitment to quality Please share your profiles to recruiter@medvoiceinc.com /shilpav@medvoiceinc.com or apply to this Job Post. Reach us on the below Nos : 6364915511 / 9686725753 Website: www.medvoiceinc.com Job Category: Medical Records Review Work Experience: 3 years of experience in Medical Records Review Job Type: Full Time Author Recent Posts MedVoice Services Transform your healthcare practice with MedVoice’s full range of services. We simplify clinical documentation, billing, and coding so that doctors and clinics can collect revenue faster, reduce claim denials, and get timely patient statements. With competitive pricing and integration with major EMR/EHR systems, we help physician clinics and small hospitals run more smoothly and save money. Our 20-year track record shows that we know how to boost collections and improve communications—all in a friendly, easy-to-understand way. Latest posts by MedVoice Services (see all) Medical Credentialing 101: The 3 Types Every Healthcare Provider Must Know - June 14, 2025 What Are the 3 Types of Medical Billing Systems? - May 29, 2025 The Evolution of Revenue Cycle Management: Adapting to Modern Healthcare Needs - October 26, 2024 Job Category: Medical Records Review Work Experience: 3 years of experience in Medical Records Review Job Type: Full Time Job Location: Bangalore India Kammanahalli This job is no longer accepting applications.

About Us For over 20 years, Smart Data Solutions has been partnering with leading payer organizations to provide automation and technology solutions enabling data standardization and workflow automation. The company brings a comprehensive set of turn-key services to handle all claims and claims-related information regardless of format (paper, fax, electronic), digitizing and normalizing for seamless use by payer clients. Solutions include intelligent data capture, conversion and digitization, mailroom management, comprehensive clearinghouse services and proprietary workflow offerings. SDS’ headquarters are just outside of St. Paul, MN and leverages dedicated onshore and offshore resources as part of its service delivery model. The company counts over 420 healthcare organizations as clients, including multiple Blue Cross Blue Shield state plans, large regional health plans and leading independent TPAs, handling over 500 million transactions of varying types annually with a 98%+ customer retention rate. SDS has also invested meaningfully in automation and machine learning capabilities across its tech-enabled processes to drive scalability and greater internal operating efficiency while also improving client results. SDS recently partnered with a leading growth-oriented investment firm, Parthenon Capital, to further accelerate expansion and product innovation. Location : 6th Floor, Block 4A, Millenia Business Park, Phase II MGR Salai, Kandanchavadi , Perungudi Chennai 600096, India. Smart Data Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge skill and or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform essential job functions. Due to access to Protected Healthcare Information, employees in this role must be free of felony convictions on a background check report. Responsibilities Duties and Responsibilities include but are not limited to: Design and build ML pipelines for OCR extraction, document image processing, and text classification tasks. Fine-tune or prompt large language models (LLMs) (e.g., Qwen, GPT, LLaMA , Mistral) for domain-specific use cases. Develop systems to extract structured data from scanned or unstructured documents (PDFs, images, TIFs). Integrate OCR engines (Tesseract, EasyOCR , AWS Textract , etc.) and improve their accuracy via pre-/post-processing. Handle natural language processing (NLP) tasks such as named entity recognition (NER), summarization, classification, and semantic similarity. Collaborate with product managers, data engineers, and backend teams to productionize ML models. Evaluate models using metrics like precision, recall, F1-score, and confusion matrix, and improve model robustness and generalizability. Maintain proper versioning, reproducibility, and monitoring of ML models in production. The duties set forth above are essential job functions for the role. Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions. Skills And Qualifications 4–5 years of experience in machine learning, NLP, or AI roles Proficiency with Python and ML libraries such as PyTorch , TensorFlow, scikit-learn, Hugging Face Transformers. Experience with LLMs (open-source or proprietary), including fine-tuning or prompt engineering. Solid experience in OCR tools (Tesseract, PaddleOCR , etc.) and document parsing. Strong background in text classification, tokenization, and vectorization techniques (TF-IDF, embeddings, etc.). Knowledge of handling unstructured data (text, scanned images, forms). Familiarity with MLOps tools: MLflow , Docker, Git, and model serving frameworks. Ability to write clean, modular, and production-ready code. Experience working with medical, legal, or financial document processing. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate ) and semantic search. Understanding of document layout analysis (e.g., LayoutLM , Donut, DocTR ). Familiarity with cloud platforms (AWS, GCP, Azure) and deploying models at scale

Role Overview We are seeking a highly skilled and forward-thinking Manager – Data Science & Generative AI to lead data-driven innovation within our organization. This role requires a blend of technical expertise in machine learning and GenAI, team leadership, and strategic thinking to build scalable solutions and drive business transformation through intelligent systems. As a Manager, you will lead cross-functional teams, guide AI/ML project lifecycles, and help deploy Generative AI models into real-world applications, ranging from content generation to intelligent automation. Key Responsibilities Lead the end-to-end lifecycle of data science and Generative AI projects—from problem scoping and data exploration to model deployment and performance monitoring. Manage a team of data scientists and ML engineers, providing technical guidance and mentorship. Develop and implement advanced machine learning models including deep learning, NLP, and GenAI architectures (e.g., transformers, LLMs). Collaborate with product, engineering, and business teams to identify AI opportunities, define use cases, and deploy innovative solutions. Evaluate and fine-tune pre-trained foundation models (e.g., GPT, Claude, LLaMA, Gemini) for domain-specific applications using prompt engineering, fine-tuning, or retrieval-augmented generation (RAG). Lead the creation of synthetic data, content generation, and intelligent assistants using GenAI capabilities. Drive responsible AI practices and ensure model transparency, fairness, and compliance with ethical and regulatory guidelines. Contribute to strategic roadmaps for AI adoption across the enterprise. Present findings, models, and strategies to stakeholders and senior leadership. Required Skills & Experience: 6–10 years of experience in Data Science or AI/ML, including at least 2–3 years in a managerial or lead role. Strong proficiency in Python and data science libraries (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch). Proven experience in building and deploying ML models in production environments. Solid experience working with Generative AI tools and platforms (e.g., OpenAI APIs, Hugging Face, LangChain, Vertex AI, Azure OpenAI). Expertise in NLP, LLMs, prompt engineering, fine-tuning, and text generation. Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps pipelines. Strong understanding of data engineering concepts, APIs, and scalable architectures. Excellent problem-solving, project management, and communication skills. Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field (PhD is a plus). Nice to Have: Experience with Retrieval-Augmented Generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate). Familiarity with model safety, explainability (XAI), and ethical AI frameworks. Publications or contributions in AI/ML conferences or open-source projects. Hands-on experience in GenAI use cases like document summarization, chatbots, code generation, or marketing automation.

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire AI/ML Professionals in the following areas : Designation: Data Scientist Experience: 2–4 Years Job Type: Full-time We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. In this role, you will leverage your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. You will design, develop, and deploy sophisticated machine learning models, conduct in-depth data analyses, and collaborate with cross-functional teams to deliver actionable insights. Responsibilities Build and deploy ML models for classification, regression, and clustering tasks. Apply foundational GenAI concepts such as embeddings, summarization, and RAG. Use APIs and tools like LangChain, vector databases (e.g., Pinecone, FAISS). Prepare documentation and results interpretation. Required Skills Strong hands-on experience in Python, Scikit-learn, Pandas. Knowledge of model evaluation, feature engineering, and model tuning. Exposure to LangChain and vector DBs. Basic exposure to FastAPI or Flask. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

Hiring data engineers for glbal consulting firm in Gurgaon, Pune, Noida location. Experience - 4-10 years Core Skills ∙Data Architecture & SQL Engineering: Advanced SQL, data modeling (3NF, star, snowflake), dimensional design ∙Cloud Warehousing Expertise: Familiarity with Snowflake ∙Power BI Data Modeling: Dataflows, composite models, import vs. direct query trade- offs ∙Scalability: Partitioning strategies, incremental refresh policies, usage of materialized views ∙ETL Design: Tools such as Jenkins and SageMaker ∙Monitoring & Observability: Usage of Power BI Performance Analyzer, DAX Studio, Azure Monitor Tasks / Projects ∙Conduct audits on existing tables, dataflows, and report dependencies ∙Evaluate and optimize data model architecture to ensure refresh efficiency and query speed ∙Implement Power BI best practices: minimized cardinality, star schemas, avoidance of bidirectional filters ∙Develop documentation and governance policies for long-term sustainability ∙Define a scalable data layer and architecture principles ∙Coordinate with infrastructure teams on capacity planning and workload management ∙Future - Prototype new architectures that incorporate AI summarization (LLM integration)

Data Engineer (Data Architecture and Optimization Specialist) Core Skills Data Architecture & SQL Engineering: Advanced SQL, data modeling (3NF, star, snowflake), dimensional design Cloud Warehousing Expertise: Familiarity with Snowflake Power BI Data Modeling: Dataflows, composite models, import vs. direct query trade-offs Scalability: Partitioning strategies, incremental refresh policies, usage of materialized views ETL Design: Tools such as Jenkins and SageMaker Monitoring & Observability: Usage of Power BI Performance Analyzer, DAX Studio, Azure Monitor Tasks / Projects Conduct audits on existing tables, dataflows, and report dependencies Evaluate and optimize data model architecture to ensure refresh efficiency and query speed Implement Power BI best practices: minimized cardinality, star schemas, avoidance of bidirectional filters Develop documentation and governance policies for long-term sustainability Define a scalable data layer and architecture principles Coordinate with infrastructure teams on capacity planning and workload management Future - Prototype new architectures that incorporate AI summarization (LLM integration)

Weʼre looking to automate our internal operations using cutting-edge agentic AI and LLM-driven tools. This effort will be led by the founding team in close collaboration with a dedicated Generative AI Engineer , who will help implement intelligent automation — and later scale it for external clients and products . Key Responsibilities Work closely with the leadership team to map internal processes that can benefit from AI-based automation (e.g., document handling, research synthesis, client onboarding, code generation, workflow orchestration). Build internal tools using LLMs and agent frameworks (LangChain, OpenAI Functions, AutoGen, CrewAI, etc.) for semi-autonomous task execution. Prototype, test, and refine agentic applications that integrate with internal systems (e.g., Notion, Slack, GitHub, Airtable, email, databases). As the automation matures internally, support the transition to external automation offerings for clients across domains. Maintain a portfolio of your work in GitHub, and contribute reusable components to the broader engineering team. Minimum Qualifications Bachelorʼs or Masterʼs degree in Computer Science, AI, Data Science, or a related technical field. Solid programming skills in Python and experience building backend services, APIs, or automation tools. Demonstrated ability to build and maintain agent-based apps using tools like LangChain, CrewAI, LlamaIndex , or custom orchestration frameworks. A strong GitHub portfolio of previous automation projects or agentic AI applications (personal or professional). Familiarity with REST APIs, cloud services (AWS/GCP), and tools like Docker, FastAPI, or Streamlit. Preferred Qualifications Experience integrating LLMs with external APIs and multi-step workflows (e.g., form parsing + summarization + ticket generation). Familiarity with tools like Zapier , Make , Airflow , or custom workflow engines . Understanding of retrieval-augmented generation (RAG) , embeddings, and prompt engineering best practices. Entrepreneurial mindset with a willingness to explore ambiguous spaces and iterate rapidly. What We Offer A unique opportunity to work directly with founders and AI researchers on defining the next era of automation. A fast-paced, early-stage startup culture with a focus on delivery, ownership, and learning . ESOPs , competitive compensation, and access to high-end compute infrastructure. Long-term growth opportunity to lead automation efforts both internally and across external enterprise deployments . How to Apply Apply on Linkedin with your GitHub portfolio , and a brief statement describing 1-2 agentic apps you've built.

We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser’s local storage. This includes cookies necessary for the website's operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve website's performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies. Press Tab to Move to Skip to Content Link Skip to main content Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook Search by Keyword Search by Location Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook View Profile Employee Login Search by Keyword Search by Location Show More Options Loading... Requisition ID All Skills 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 apply with LinkedIn Please wait... Data Scientist - AI/ML Job Date: Jul 15, 2025 Job Requisition Id: 60925 Location: Hyderabad, TG, IN Pune, IN Pune, MH, IN Indore, MP, IN YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire AI/ML Professionals in the following areas : Designation: Data Scientist Experience: 2–4 Years Job Type: Full-time We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. In this role, you will leverage your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. You will design, develop, and deploy sophisticated machine learning models, conduct in-depth data analyses, and collaborate with cross-functional teams to deliver actionable insights. Responsibilities: Build and deploy ML models for classification, regression, and clustering tasks. Apply foundational GenAI concepts such as embeddings, summarization, and RAG. Use APIs and tools like LangChain, vector databases (e.g., Pinecone, FAISS). Prepare documentation and results interpretation. Required Skills: Strong hands-on experience in Python, Scikit-learn, Pandas. Knowledge of model evaluation, feature engineering, and model tuning. Exposure to LangChain and vector DBs. Basic exposure to FastAPI or Flask. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture Apply now » Apply Now Start apply with LinkedIn Please wait... Find Similar Jobs: Careers Home View All Jobs Top Jobs Quick Links Blogs Events Webinars Media Contact Contact Us Copyright © 2020. YASH Technologies. All Rights Reserved.

Summary: We are seeking a talented and motivated AI Engineer to join our team and focus on building cutting-edge Generative AI applications. The ideal candidate will possess a strong background in data science, machine learning, and deep learning, with specific experience in developing and fine-tuning Large Language Models (LLMs) and Small Language Models (SLMs). You should be comfortable managing the full lifecycle of AI projects, from initial design and data handling to deployment and production monitoring. A foundational understanding of software engineering principles is also required to collaborate effectively with engineering teams and ensure robust deployments. Responsibilities: Design, develop, and implement Generative AI solutions, including applications leveraging Retrieval-Augmented Generation (RAG) techniques. Fine-tune existing Large Language Models (LLMs) and potentially develop smaller, specialized language models (SLMs) for specific tasks. Manage the end-to-end lifecycle of AI model development, including data curation, feature extraction, model training, validation, deployment, and monitoring. Research and experiment with state-of-the-art AI/ML/DL techniques to enhance model performance and capabilities. Build and maintain scalable production pipelines for AI models. Collaborate with data engineering and IT teams to define deployment roadmaps and integrate AI solutions into existing systems. Develop AI-powered tools to solve business problems, such as summarization, chatbots, recommendation systems, or code assistance. Stay updated with the latest advancements in Generative AI, machine learning, and deep learning. Qualifications: Proven experience as a Data Scientist, Machine Learning Engineer, or AI Engineer with a focus on LLMs and Generative AI. Strong experience with Generative AI techniques and frameworks (e.g., RAG, Fine-tuning, Langchain, LlamaIndex, PEFT, LoRA). Solid foundation in machine learning (e.g., Regression, Classification, Clustering, XGBoost, SVM) and deep learning (e.g., ANN, LSTM, RNN, CNN) concepts and applications. Proficiency in Python and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). Experience with data science principles, including statistics, hypothesis testing, and A/B testing. Experience deploying and managing models in production environments (e.g., using platforms like AWS, Databricks, MLFlow). Familiarity with data handling and processing tools (e.g., SQL, Spark/PySpark). Basic understanding of software engineering practices, including version control (Git) and containerization (Docker). Bachelor's or master’s degree in computer science, Artificial Intelligence, Data Science, or a related quantitative field. Preferred Skills: Experience building RAG-based chatbots or similar applications. Experience developing custom SLMs. Experience with MLOps principles and tools (e.g., MLFlow, Airflow). Experience migrating ML workflows between cloud platforms. Familiarity with vector databases and indexing techniques. Experience with Python web frameworks (e.g., Django, Flask). Experience building and integrating APIs (e.g., RESTful APIs). Basic experience with front-end development or UI building for showcasing AI applications. Qualifications Bachelorʼs or Masterʼs degree in Computer Science, Engineering, or a related discipline.

We’re interested in hiring a responsible individual and a pro-active Prompt Engineer to join our team, focused on developing intelligent systems for financial use cases. This role is ideal for professionals with deep experience working with different prompt engineering techniques and a strong command of company financials. You'll be responsible for designing prompts and fine tuning the results for financial data. Job Responsibilities: Design, test, and optimize prompts for financial document summarization, statement analysis, KPIs, forecasting, and regulatory compliance tasks. Manage prompt routing, context injection, and response formatting. Perform quantitative and qualitative evaluations of model outputs for precision, consistency, and factual integrity; implement prompt evaluation pipelines. Convey insights through both reports and visual presentations. Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes. Skills and Qualifications: A master’s in business administration in finance/ CA/ CFA or a comparable discipline is required, and course in prompt engineer. Hands-on experience working with Gen AI Models. Working knowledge of financial statements, ratios, and reporting logic. Strong grasp of prompt engineering patterns Additional Skills: Experience with vector databases and embedding models. Understanding of token management, rate limits, and model lifecycle strategies in production.

Help Ensure accuracy, quality control, and overseeing the profitability of the company. Coordinate with warehouses, and other supply chain partners to track and maintain inventory records and keep up-to-date status on Inventory management. Experience working with costing inventory, valuation. Assist in analyzing pricing and gross margins of products for various channels and platforms. Assist in building a chart of accounts based on business functions and reporting needs. Assist in maintaining and balancing the general ledger in an accurate, complete, and up to date manner. Perform all activities related to the accounts payable function including reviewing, coding, and processing payments. Conduct wire transfers, issues checks and remit payments to vendors and others. Perform account receivable functions including invoicing, deposits, collections, and revenue recognition. Assist in Performing payroll functions as needed such as Collect, confirm and process timesheets and overtime, track employee vacation and sick time in an accurate and timely manner, and submit payroll taxes. Monitor the preparation of monthly & End of Financial Year accounting reporting packages. Prepare financial reports through the collection, analysis, and summarization of data, and other reports as needed. Experience managing cash flow for small businesses. Prepare and present cash flow, inventory forecast, and budgeting. Remain as a point of contact and liaise with banks, vendors, customers for any banking and finance related activities. Proactive in raising questions and issues to bring to Leadership's attention. Point of contact for escalation for any accounting related issues. Conduct reconciliation of all accounts on an as-needed basis Utilize accounting and financial data to conduct thorough analysis of procurement transactions. Apply analytical skills to identify trends, patterns, and anomalies within procurement data. Monitor and analyse procurement costs, ensuring alignment with budgetary constraints. Provide insights on cost-saving opportunities and efficiency improvements in the procurement process. Requirements Requirements : CPA/ MBA or any equivalent accounting degree. 5+ years of relevant experience working in accounting and bookkeeping. Thorough knowledge and understanding of GAAP . Working in consumer products and e-commerce industry is a plus. Working with US clients or knowledge base is a plus. Strong verbal and written communication skills. Proficient skills in QuickBooks, and Microsoft Excel. Experience with accounts payable, accounts receivable, payroll, and general ledger. A high degree of accuracy and attention to detail. Experience with any ERP is preferable. Job Type: Full-time Shift: Night Shift Location: Noida (U.P.) CTC Offered: 6 to 7 LPA (based on experience, skills and performance in the interview) Qualifications: • Bachelor’s degree in Engineering, Business Management, Marketing or a related field. • 1 – 2 years of relevant work experience in market research. • Strong analytical skills with proficiency in Microsoft Excel and/or Google Sheets. • Excellent English communication skills—both written and verbal. • Thorough understanding of market research methodologies. • Eagerness to learn, high attention to detail, and ability to work in a team environment. __________________________________

We are looking for a versatile and highly skilled Data Analyst / AI Engineer to join our innovative team. This unique role combines the strengths of a data scientist with the capabilities of an AI engineer, allowing you to dive deep into data, extract meaningful insights, and then build and deploy cutting-edge Machine Learning, Deep Learning, and Generative AI models. You will play a crucial role in transforming raw data into strategic assets and intelligent applications. Key Responsibilities: · Data Analysis & Insight Generation: o Perform in-depth Exploratory Data Analysis (EDA) to identify trends, patterns, and anomalies in complex datasets. o Clean, transform, and prepare data from various sources for analysis and model development. o Apply statistical methods and hypothesis testing to validate findings and support data-driven decision-making. o Create compelling and interactive BI dashboards (e.g., Power BI, Tableau) to visualize data insights and communicate findings to stakeholders. · Machine Learning & Deep Learning Model Development: o Design, build, train, and evaluate Machine Learning models (e.g., regression, classification, clustering) to solve specific business problems. o Develop and optimize Deep Learning models, including CNNs for computer vision tasks and Transformers for Natural Language Processing (NLP). o Implement feature engineering techniques to enhance model performance. · Generative AI Implementation: o Explore and experiment with Large Language Models (LLMs) and other Generative AI techniques. o Implement and fine-tune LLMs for specific use cases (e.g., text generation, summarization, Q&A). o Develop and integrate Retrieval Augmented Generation (RAG) systems using vector databases and embedding models. o Apply Prompt Engineering best practices to optimize LLM interactions. o Contribute to the development of Agentic AI systems that leverage multiple tools and models. Required Skills & Experience: o Data Science & Analytics: o Strong proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn). o Proven experience with Exploratory Data Analysis (EDA) and statistical analysis. o Hands-on experience developing BI Dashboards using tools like Power BI or Tableau. o Understanding of data warehousing and data lake concepts. o Machine Learning: o Solid understanding of various ML algorithms (e.g., Regression, Classification, Clustering, Tree-based models). o Experience with model evaluation, validation, and hyperparameter tuning. o Deep Learning: o Proficiency with Deep Learning frameworks such as TensorFlow, Keras, or PyTorch . o Experience with CNNs (Convolutional Neural Networks) and computer vision concepts (e.g., OpenCV, object detection). o Familiarity with Transformer architectures for NLP tasks. o Generative AI: o Practical experience with Large Language Models (LLMs). o Understanding and application of RAG (Retrieval Augmented Generation) systems. o Experience with Fine-tuning LLMs and Prompt Engineering. o Familiarity with frameworks like LangChain or LlamaIndex. o Problem-Solving: Excellent analytical and problem-solving skills with a strong ability to approach complex data challenges. Good to Have: o Experience with cloud-based AI/ML services (e.g., Azure ML, AWS SageMaker, Google Cloud AI Platform). o Familiarity with MLOps principles and tools (e.g., MLflow, DVC, CI/CD for models). o Experience with big data technologies (e.g., Apache Spark). Educational Qualification: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience). Please share your resume to the mail id: careers@appfabs.in

Bradford Jacobs is proud to support a forward-thinking nonprofit organisation dedicated to closing the employment gap for individuals with disabilities. As a for-purpose social enterprise, they merge human services with business acumen—proving the competitive advantage of inclusive employment. One of their flagship programs, the Accessibility Partner Program , empowers blind and low-vision professionals by pairing them with trained visual interpreters— Access Partners (APs) —who enable seamless, real-time support in technical work environments. About the Role We are seeking a proactive, detail-oriented, and technically skilled Access Partner to support a blind Data & Appliance Analyst working within a global Cloud + AI organisation . This role is not about doing the work for the client , but about enabling them to do it—bridging accessibility gaps in fast-paced, highly technical environments. You'll work closely with the Analyst to provide visual interpretation, data summarization, and navigation assistance within platforms such as ADO (Azure DevOps) , Azure Portals , Power BI , Excel , and Visual Studio . The client uses JAWS and VoiceOver screen readers. Key Responsibilities Technical Navigation & Workflow Support Assist in navigating Azure DevOps (ADO) and Azure Portals Raise pull requests Identify code changes Filter dashboards Track and update tasks Visual Interpretation & Data Summarization Provide quick, accurate reads of Power BI dashboards , Excel files , and code diffs Efficiently locate changes or updates in UI layouts and data sets Accessibility & Presentation Enablement Convert visual assets (e.g., charts, screenshots, dashboards) into screen-reader-friendly or text-based formats Assist in preparing PowerPoint presentations , integrating Excel data , charts, and visuals Follow up on inaccessible materials (e.g., unlabelled images, videos, or graphs) Communication & Coordination Summarize meetings, manage task follow-ups, and track progress in collaboration with team members Maintain clear, professional communication in English, both written and verbal Skills & Experience Strong communication skills in English (written and verbal) Familiarity with: ADO (Azure DevOps) and Azure Portal Power BI and Excel (including filtering and data analysis) Visual Studio and basic code structure understanding Excellent visual interpretation skills (charts, dashboards, UI layouts) Highly detail-oriented with strong multitasking and follow-up skills Comfortable working in high-speed technical environments with urgency and frequent task-switching. Working Conditions: Ability to work at a computer for up to 8 hours daily, and assist clients with accessibility needs both remotely and in-person. Remote role. 10am – 7pm IST – with some late evenings due to calls with USA. Salary & Benefits Starting salary ₹1,710,966 - ₹2,566,449 Performance review conducted every year. Travel & accommodation provided. Laptop provided and one-time office equipment reimbursement. Partial phone bill reimbursed. Dedication Professional Development Fund.

Job Title: Generative AI Architect Experience: 10+ Years Location: Noida, Mumbai, Pune, Chennai, Gurgaon (Hybrid) Contract Duration: Short Term Work Time: IST Shift Job Purpose We are seeking a highly skilled Generative AI Architect to lead the design, development, and deployment of cutting-edge GenAI solutions across enterprise-grade applications. This role demands deep expertise in large language models (LLMs), prompt engineering, and scalable AI system architecture, along with hands-on experience in MLOps, cloud, and data engineering. Key Responsibilities: Design and implement scalable, secure GenAI solutions using LLMs such as GPT, Claude, LLaMA, or Mistral Architect Retrieval-Augmented Generation (RAG) pipelines using LangChain, LlamaIndex, Weaviate, FAISS, or ElasticSearch Lead prompt engineering and evaluation frameworks for accuracy, safety, and contextual relevance Collaborate with product, engineering, and data teams to integrate GenAI into existing applications and workflows Build reusable GenAI modules like function calling, summarization engines, Q&A bots, and document chat solutions Deploy and optimize GenAI workloads on AWS Bedrock, Azure OpenAI, and Vertex AI Ensure robust monitoring, logging, and observability using Grafana, OpenTelemetry, and Prometheus Apply MLOps practices including CI/CD of AI pipelines, model versioning, validation, and rollback Research and prototype innovations like multi-agent systems, autonomous agents, and fine-tuning methods Implement security best practices, data governance, and compliance protocols such as PII masking, encryption, and audit logs Required Skills & Experience: 8+ years in AI/ML with at least 2–3 years in LLMs or Generative AI Proficient in Python with experience in Transformers (Hugging Face), LangChain, OpenAI SDKs Strong knowledge of vector databases like Pinecone, Weaviate, FAISS, Qdrant Experience working with AWS (SageMaker, Bedrock), Azure (OpenAI), and GCP (Vertex AI) Hands-on expertise in RAG pipelines, summarization, and chat-based applications Familiarity with LLM orchestration frameworks like LangGraph, AutoGen, CrewAI Understanding of MLOps tools: MLflow, Airflow, Docker, Kubernetes, FastAPI Exposure to prompt injection mitigation, hallucination control, and LLMOps practices Ability to evaluate GenAI solutions using BERTScore, BLEU, GPTScore Strong communication skills with experience in architecture leadership and mentoring Preferred (Nice to Have): Experience fine-tuning open-source LLMs (LLaMA, Mistral, Falcon) using LoRA or QLoRA Knowledge of multi-modal AI systems (text-image, voice assistants) Domain-specific LLM knowledge in Healthcare, BFSI, Legal, or EdTech Contributions to published work, patents, or open-source GenAI projects

Job Summary: We are looking for a highly experienced Odoo Tech Lead with 8–10 years of hands-on ERP and Python development experience. The ideal candidate is a seasoned Odoo expert who can lead teams and architect solutions—and who also understands how to apply emerging AI tools and platforms to make our systems smarter and development workflows more efficient. You will be driving end-to-end ERP implementations and should be capable of identifying opportunities to integrate or enhance business processes using AI-enhanced APIs, automation tools, or intelligent features. Key Responsibilities:  Technical Leadership: o Lead a team of Odoo/Python developers, providing guidance, mentorship, and hands-on support across active projects. o Drive technical decisions, code reviews, and ensure adherence to quality and performance standards.  Odoo Development & Customization: o Architect and build custom Odoo modules tailored to unique business workflows. o Extend existing Odoo apps (Sales, CRM, Accounting, Inventory, etc.) with additional logic, automation, and UI/UX enhancements.  AI Integration & Adoption: o Utilize AI platforms such as OpenAI (ChatGPT API), LangChain, Azure AI, Google Cloud AI, Hugging Face APIs, etc., to solve business use cases (e.g., auto- summarization, intelligent search, smart ticketing, recommendations). o Lead the adoption of AI-based development tools (like GitHub Copilot or AI code assistants) to boost team productivity and code quality.  Project Ownership: o Take charge of the full project lifecycle—from scoping and planning to execution, deployment, and support. o Ensure timely delivery of high-quality, scalable solutions across multiple clients and domains.  Client Interaction: o Collaborate closely with business stakeholders to gather requirements, demo features, and provide consultative inputs on solution design. o Suggest practical ways to incorporate AI tools for automation, insights, and process optimization.  Innovation & Continuous Improvement: o Stay current with AI/ML advancements and emerging tools relevant to ERP, business automation, and engineering efficiency. o Champion the culture of continuous learning and innovation within the team.  DevOps & Deployment: o Oversee version control, staging, CI/CD pipelines, and deployment to cloud or on-premise environments. Required Skills & Qualifications:  8–10 years of development experience in Python and Odoo ERP  Deep expertise in Odoo ORM, module development, and backend logic  Proven leadership in managing Odoo development teams and project delivery  Exposure to AI platforms and tools such as OpenAI, Google Cloud AI, Azure AI, LangChain, etc.  Experience integrating AI capabilities into ERP or business workflows via APIs or plugins  Strong understanding of PostgreSQL, RESTful APIs, and system integration patterns  Hands-on experience in Linux-based deployment, Git, and Agile methodology Preferred/Bonus Skills:  Familiarity with AI-based tools for productivity (e.g., GitHub Copilot, AI testing tools, prompt engineering basics)  Basic understanding of MLOps or lightweight ML model deployment is a plus  Odoo certification (v14 or above)  Cloud infrastructure exposure (AWS, GCP, or Azure)  Experience in automation, reporting dashboards, or AI-powered analytics tools Soft Skills:  Strategic thinker with strong problem-solving ability  Confident communicator and stakeholder manager  Quick to learn and adapt emerging technologies, especially in the AI/automation domain  Collaborative mindset with a passion for tech-led business transformation