54 Ml Models Jobs - Page 2

As a Data Scientist specializing in Natural Language Processing (NLP) and Large Language Models (LLMs), you will play a crucial role in designing, fine-tuning, and deploying cutting-edge open-source and API-based LLMs to address real-world challenges. Your primary focus will be on creating robust GenAI pipelines, innovative internal tools, and engaging client-facing applications. You will have the exciting opportunity to work at the forefront of AI technology, contributing to the advancement of intelligent systems through the utilization of Retrieval-Augmented Generation (RAG) frameworks, vector databases, and real-time inference APIs. Your responsibilities will include fine-tuning and optimizing open-source LLMs for specific business domains, constructing and managing RAG pipelines using tools like LangChain, FAISS, and ChromaDB, as well as developing LLM-powered APIs for diverse applications such as chat, Q&A, summarization, and classification. Additionally, you will be tasked with designing effective prompt templates and implementing chaining strategies to enhance LLM performance across various contexts. To excel in this role, you should possess a strong foundation in NLP fundamentals and deep learning techniques for text data, hands-on experience with LLM frameworks like Hugging Face Transformers or OpenAI APIs, and familiarity with tools such as LangChain, FAISS, and ChromaDB. Proficiency in developing REST APIs to support ML models, expertise in Python programming with knowledge of libraries like PyTorch or TensorFlow, and a solid grasp of data structures, embedding techniques, and vector search systems are also essential. Preferred qualifications include prior experience in LLM fine-tuning and evaluation, exposure to cloud-based ML deployment (AWS, GCP, Azure), and a background in information retrieval, question answering, or semantic search. If you are passionate about generative AI and eager to contribute to the latest developments in NLP and LLMs, we are excited to connect with you.,

The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with global health and science authorities to develop quality standards for medicines, dietary supplements, and food ingredients. With a core value of Passion for Quality, USP aims to strengthen the supply of safe, quality medicines and supplements worldwide through the dedication of over 1,300 professionals across twenty global locations. USP values inclusivity and strives to create a culture that offers meaningful opportunities for mentorship and professional growth. Embracing Diversity, Equity, Inclusion, and Belonging, USP is committed to building a world where everyone can trust in the quality of health and healthcare. The Digital & Innovation group at USP is currently seeking a Data Engineer skilled in Data Modelling and Data Transformation to develop innovative Data Products. The ideal candidate will harness the power of data to communicate insights and create a unified experience across the ecosystem. In this role, you will contribute to USP's public health mission by facilitating equitable access to high-quality, safe medicine and improving global health through public standards and related programs. Additionally, as part of the commitment to professional development, USP invests in inclusive management styles and competencies necessary for a productive work environment. Key Responsibilities: - Utilize data collection and storing techniques to manage data effectively in a scalable environment. - Continuously review and enhance systems based on data governance principles and data quality rules. - Derive meaningful insights using analytical tools like Tableau, Looker, and Power BI to drive relevant business decisions. - Work with ML models designed by data scientists to capture AI use cases and deliver high-quality AI-based programs. Qualifications: - Bachelor's degree in a relevant field (e.g. Engineering, Analytics, Data Science, Computer Science, Statistics) or equivalent experience. - Minimum 3-6 years of experience as a Data Engineer with proficiency in big data technologies such as Azure Data Lake, PySpark, AWS Redshift, etc. - Experience in implementing complex ETL pipelines, Agile Development, job orchestration, and AI/ML concepts. - Proficiency in analytical tools, data quality management, and security models. - Strong working knowledge of Python and ability to communicate technical issues to non-technical audiences. Desired Preferences: - Experience in scientific chemistry nomenclature or life sciences. - Exposure to pharmaceutical datasets and knowledge graphs. - Ability to explain technical concepts to non-technical audiences. - Strong decision-making skills and effective communication abilities. Supervisory Responsibilities: None Benefits: USP offers comprehensive benefits including company-paid time off, healthcare options, and retirement savings to ensure the well-being of employees and their families. Job Category: Information Technology Job Type: Full-Time,

Job Summary: The Go (Golang) Developer is responsible for designing, developing, and maintaining high-performance applications and systems using the Go programming language. This role involves creating scalable and efficient solutions, collaborating with cross-functional teams, and leveraging Go's features to build robust software. Key Responsibilities: Software Development: Design, develop, and implement applications and services using Go. Focus on building high-performance, scalable, and reliable software solutions. Code Quality: Write clean, maintainable, and efficient code following best practices and coding standards. Conduct code reviews and refactor code as needed. System Design: Collaborate with architects and engineers to design system architecture and components that leverage Go's concurrency and performance features. Integration: Integrate Go applications with other systems, APIs, and databases. Handle data exchange and ensure interoperability between different services. Optimization: Optimize applications for performance, scalability, and resource efficiency. Use profiling and benchmarking tools to identify and address performance bottlenecks. Testing: Develop and execute unit tests, integration tests, and end-to-end tests to ensure software reliability and correctness. Support testing and QA efforts. Collaboration: Work closely with product managers, designers, and other developers to understand requirements and deliver solutions that meet business needs. Documentation: Create and maintain technical documentation, including design specifications, API documentation, and code comments. Innovation: Stay updated with industry trends and advancements in Go and related technologies. Propose and implement improvements to enhance functionality and efficiency. Qualifications: Education: Bachelors degree in Computer Science, Software Engineering, or a related field. Advanced degree is a plus. Experience: Minimum of 3-5 years of experience in software development, with a focus on Go. Experience in developing scalable systems and services is preferred. Technical Skills: Proficiency in Go (Golang) programming language, including knowledge of Go concurrency patterns (goroutines, channels). Strong understanding of software development principles, data structures, and algorithms. Experience with Go frameworks and libraries (e.g., Gin, Echo). Familiarity with database management systems (e.g., SQL, NoSQL) and SQL. Experience with version control systems like Git. Additional Skills: Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus. Knowledge of web technologies and RESTful APIs. Strong problem-solving and analytical skills. Good communication skills, both verbal and written. Exposure to AI/ML models for predictive analysis Exposure to the 3GPP 5G Core network architecture is a plus Experience working on NWDAF modules internal architecture is an added advantage. Desired Attributes: Attention to Detail: Meticulous attention to detail in coding and system design. Adaptability: Ability to adapt to new technologies and changing requirements in a fast-paced environment. Creativity: Innovative approach to solving complex technical challenges.

Role - Lead AI Engineer Experience: 3+ years in AI/ML Location: Gurgaon, work from office About Tap Health: Tap Health is a deep-tech platform that is transforming chronic care management with AI and changing how you access health information. Powered by our proprietary Medical AI model, VaiD, Tap Health is designed to make healthcare accessible to millions. We are developing next-generation Digital Therapeutic products that redefine chronic illness management through AI-driven, hyper-personalized care. Our platform helps users manage conditions such as diabetes, hypertension, PCOS, pregnancy and asthma by delivering daily structured digital therapeutics, lifestyle interventions, personalized nutrition and exercise guidance and real-time monitoring, all without requiring human intervention. Leveraging AI and adaptive algorithms, Tap Health dynamically personalizes each users care journey, delivering enhanced insights, interventions, motivation, adherence and clinical outcomes at a fraction of traditional healthcare costs. Beyond Digital Therapeutics, the Tap Health platform also provides free primary illness diagnosis based on symptoms and instant health advice through a seamless, voice-first experience. www.tap.health Role Overview: Lead AI Engineer We are hiring a full-time Lead AI Engineer in Gurgaon to drive AI-driven healthcare innovations. The ideal candidate has 3+ years of AI/ML experience, 6+ months of GenAI production experience, and 1+ year of hands-on GenAI product development. You need to have a strong data science background and have expertise in GenAI, Agentic AI deployments, causal inference, and Bayesian modeling, with a strong foundation in LLMs and traditional models. You will be collaborating with the AI, Engineering, and Product teams to build scalable, consumer-focused healthcare solutions. As a Lead AI Engineer, you will be the go-to expertthe engineer others turn to when they hit roadblocks. You will mentor, collaborate, and enable high product velocity while fostering a culture of continuous learning and innovation. Skills & Experience The ideal candidate should have the following qualities: Strong understanding of fine-tuning, optimization, and neural architectures. Hands-on experience with Python, PyTorch, and FastAI frameworks. Experience running production workloads on one or more hyperscalers (AWS, GCP, Azure, Oracle, DigitalOcean, etc.). In-depth knowledge of LLMshow they work and their limitations. Ability to assess the advantages of fine-tuning, including dataset selection strategies. Understanding of Agentic AI frameworks, MCPs (Multi-Component Prompting), ACP (Adaptive Control Policies), and autonomous workflows. Familiarity with evaluation metrics for fine-tuned models and industry-specific public benchmarking standards in the healthcare domain. Knowledge of advanced statistical models, reinforcement learning, and Bayesian inference methods. Experience in Causal Inference and Experimentation Science to improve product and marketing outcomes. Proficiency in querying and analyzing diverse datasets from multiple sources to build custom ML and optimization models. Comfortable with code reviews and standard coding practices using Python, Git, Cursor, and CodeRabbit.,

We are urgently hiring for a GenAI with a reputed Client for Pune, Location Experience - 7 + years Looking for IMMEDIATE JOINER or Serving Notice period Primary Skills: ML Models- Supervised and Unsupervised learning GEN AI- RAG, AI Agents Python

What You'll Do: Build and maintain cloud deployment of ML models and surrounding infrastructure Contribute to infrastructure and process improvements for data collection, labeling, model development and deployment Design and implement R&D data engineering solutions for delivery of ML model value from device to cloud, including message payload design, data ingest and database architecture Help prepare and automate builds for device model deployment Assist on projects led by other team members via data processing, programming, monitoring of production applications, etc. Other duties as assigned. What You'll Need: Bachelors degree in Computer Science or equivalent experience 4 to 6 years of experience with a Strong background in MLOps, Python, GNU/Linux CLI Versatile and adaptable engineer who can address evolving needs of team. Strong understanding of data engineering principles and architecture Knowledge of relational database modelling and integration. Experience with NoSQL is helpful. Ability to manage cloud resources and technologies within AWS, including Sage maker, EC2, S3 Experience with software automation tools, e.g., Airflow, Ansible, Terraform, Jenkins Experience with automated unit testing and regression testing methodologies Familiar with Linux software build toolchains and patterns. (e.g., Make, gcc) Experience with source control and tracking (git) Strong teammate who enjoys working in a collaborative, fast-paced team-focused environment

Seeking Unity Developer to build AR measurement app. Must know ARCore/ARKit, OpenCV, ML model integration. Work with remote team on real-time object detection & dimensioning. 3+ yrs Unity3D experience, strong AR & CV skills required.

JD Primary skills: • Solid experience in building ML Models. • Proficient in SQL, Python, PySpark, Spark ML language. • Good understanding of cloud platforms such as AWS (preferred), Azure or GCP. • Proficient in source code controls using Github. Secondary skills: • Experience using any Auto ML products like DataRobot / H2O AI. • Provide inputs to build Artificial Intelligence (AI) roadmap for marketing based on TE&O architecture and capability delivery timelines. • Accountable for identifying, embedding, promoting, and ensuring continuous improvement within the use of new data and advanced analytics across the teams

Overview: As Lodha is envisioning to grow from 18,000 Cr to 50,000 Cr company by 2030, our ability to understand our customers, derive insights and deploy right technology tools becomes very critical, as that would enable an agile and nimble growth for the organization. While Lodha is Indias number 1 real estate developer, it is also a pioneer in Technology domain, with BelleVie ‘Premium Lifestyle home super App’ (Digirealty Technologies Private Limited) being its 100% owned subsidiary disrupting the market with a strong team (~40) of technology experts (incl. architects, front end, backend, designers, product managers, etc.) from top start-ups/ organizations. In sync with our vision of 50,000 Cr by 2030, we are expanding our own in-house Data Sciences Center of Excellence (CoE) under Customer Intelligence and Data Office (CIDO), a unique 0 to 1 setup, which will look after the Analytics/ Data science related needs of Lodha Group with significant opportunities of collaborating with verticals and best in class BelleVie platform. The mandate of this team is to harmonize and analyze large amounts of raw information to provide actionable insights to business teams to help improve company topline/ bottom-line. We are looking for a skilled data scientist / Machine Learning (ML) engineer to develop, deploy, and maintain cutting-edge ML solutions that drive business outcomes. This is a high-impact role requiring end-to-end expertise in model development, deployment, and lifecycle management in production. Key Responsibilities: Collaborate with the Analytics Lead, Data Council, and IT teams to develop data-driven solutions Translate data into actionable insights, communicate them to business stakeholders in an easy language Design, build, and maintain scalable ELT pipelines for ingesting, transforming and processing data at scale Experiment with ML algorithms (regression, classification, clustering, LLMs etc) to solve business problems Transition ML models from prototypes to production, ensuring scalability, reliability and robustness Deploy and manage AI/ML models on cloud-based platforms like AWS, Azure or Salesforce Implement MLOps best practices including CI/CD pipelines, version control, model monitoring and retraining to maintain accuracy and performance Integrate ML outputs into platforms like Bellevie app, Salesforce Screens and reporting dashboards Qualifications & Skills: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 3-4 years of hands-on experience in data science, machine learning and production deployment of models Proficiency in Python and relevant libraries (eg. Pandas, Scikit-learn, XGBoost) along with strong SQL skills Strong understanding of predictive modeling techniques (supervised/unsupervised, clustering, NLP ) Proven experience deploying AI/ML solutions on cloud platforms (AWS, Azure, Salesforce) with knowledge of MLOps practices like monitoring, version control and CI/CD Working knowledge of BI tools (Tableau, Power BI) for integrating ML insights into dashboards

Experience : 4+ years (preferably in early-stage startups). Tech Stack : Python (core), Node.js, React.js. We're looking for a Tech Lead to join us at the ground level. This is a high-ownership, high-speed role for builders who want to move fast and go deep.. What You'll Do. Design, build, and scale backend and full-stack systems for our voice AI engine. Work primarily with Python (core logic, pipelines, model integration), and support full-stack features using Node.js and React.js. Lead projects end-to-end-from whiteboard to production deployment. Optimize systems for performance, scale, and real-time processing. Collaborate with founders, ML engineers, and designers to rapidly prototype and ship features. Set engineering best practices, own code quality, and mentor junior team members as we grow. Must-Have Skills. 4+ years of experience in Python, building scalable production systems. Has led projects independently, from design through deployment. Excellent at executing fast without compromising quality. Strong foundation in system design, data structures and algorithms. Hands-on experience with Node.js and React.js in a production setup. Deep understanding of backend architecture-APIs, microservices, data ows. Proven success working in early-stage startups, especially during 01 scaling phases. Ability to debug and optimize across the full stack. High autonomy-can break down big problems, prioritize, and deliver without hand-holding. What We Value. Speed Perfection : We move fast, ship early, and iterate. Ownership mindset : You act like a founder-even if you're not one. Technical depth : You've built things from scratch and understand what's under the hood. Product intuition : You don't just write code-you ask if it solves the user's problem. Startup muscle : You're scrappy, resourceful, and don't need layers of process. Bias for action : You unblock yourself and others. You push code and push thinking. Humility and curiosity : You challenge ideas, accept better ones, and never stop learning. Nice-to-Have. Experience with NLP, speech interfaces, or audio processing. Familiarity with cloud platforms (GCP/AWS), CI/CD, Docker, Kubernetes. Contributions to open-source or technical blogs. Prior experience integrating ML models into production systems.

Experience 6 - 8 years. Skills: A strong level of proficiency in python programming. Practical knowledge and working experience on Statistics and Operation Research methods. Practical knowledge and working experience in tools and frameworks like Flask,PySpark,Pytorch,tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j. Hands on experience in Analytics/AI-ML AWS services like Sagemaker, Canvas, Bedrock. Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc. Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models. Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database. Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS. Understanding business needs / mapping it to the business processes. Hands on experience in agile project delivery. Good in conceptualizing and visualizing end to end business needs both at high level as well as detailed. Good in articulating the business needs. Good analytical and problem-solving skills. Good communication, listening and probing skills. Strong inter-personnel skills. Should collaborate with other team members and work as team. Job Description: Comprehend business issues and propose valuable business solutions. Design Factual or AI/profound learning models to address business issues. Design Statistical Models/ML/DL models and deploy them for production. Formulate what information is accessible from where and how to augment it. Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j. Preferred Certification: (Good to have) AWS Specialty Certification in Data Analytics, Machine Learning

Analyze, design develop, troubleshoot and debug software programs for commercial or end user applications. Writes code, completes programming and performs testing and debugging of applications. As a member of the software engineering division, you will perform high-level design based on provided external specifications. Specify, design and implement minor changes to existing software architecture. Build highly complex enhancements and resolve complex bugs. Build and execute unit tests and unit plans. Review integration and regression test plans created by QA. Communicate with QA and porting engineering as necessary to discuss minor changes to product functionality and to ensure quality and consistency across specific products. Duties and tasks are varied and complex needing independent judgment. Fully competent in own area of expertise. May have project lead role and or supervise lower level personnel. BS or MS degree or equivalent experience relevant to functional area. 4 years of software engineering or related experience. Career Level - IC3 We are the team building the next generation of the Oracle CX Sales applications that span across mobile devices on iOS/android, email clients such as Outlook, collaboration tools such as ms teams and slack, the web interface for a comprehensive and an immersive UI and a variety of other platforms with a long term vision to provide a consistent, easily customizable and a seamless engagement experience. These solutions are being built ground up and are designed to natively integrate with Oracle AI offeringss. The enterprise productivity landscape is changing at a rapid pace and Cloud Applications across these interfaces andplatformsare becoming both a strategic and an imperative offering for many customers Oracle CX Applications enables enterprise Sales/CQ teams to seamlessly move from on-line/connected applications to a mobile, occasionally connected mode with access to data and processes that maximize the effectiveness of their roles within the enterprise. These always available, composite applications are process-oriented interactions that improve the efficiency and effectiveness of the users. As an Engineer on the team, you get to: Innovate in niche areas such as being able to customize an application real time Conversationally allow users to interact with the Oracle CX system via both voice and text -- this is the next Generation AI sustem Work on a solution for the mobile application to be available while offline as wel Develop integrations such the ability to scan a business card Add to the motivation and have a lot of fun In addition the person in this role would: Work on the latest technologies .Make a big impact - we are a small but a growing team Work with some really smart engineers Interact with senior architects from the Oracle ecosystem Requirements: Bachelors or Masters degree in Computer Science. Strong programming skills - javascript, typescript, redux andnode. Excellent knowledge of design patterns, OO andER modeling Knowledge of JSON based REST APIs, OpenAPI standards, Android , Objective-C, Swift,python and java Strong understanding of computer science fundamentals including algorithms, designing ML models, data structures, databases and system concepts Complete product development life-cycle experience with good software engineering skills Ability to understand business concepts and processes is a plus Successful track record showing excellence and creativity Participate in Technical Discussions and contribute effectively to architectural and design decisions

Work with the founder and core team to build and optimize quant trading strategies. Use Python and ML to analyze market data. No prior finance experience needed—training in options and execution provided. Just bring curiosity and coding skills!

Key Responsibilities: Backend Service Development: Design and implement robust, scalable, and maintainable backend services using Python. Utilize appropriate frameworks and libraries to streamline development and enhance productivity. Integrate AI models and algorithms into backend services, ensuring efficient and reliable communication. AI Model Integration: Collaborate with data scientists and AI engineers to understand AI model requirements and specifications. Develop APIs and interfaces to facilitate seamless integration of AI models into backend services. Cloud Infrastructure Management: Deploy and manage backend services on cloud platforms (e.g., AWS, Azure & GCP). Leverage cloud-native technologies and services to optimize infrastructure costs and performance. Ensure the security and compliance of cloud infrastructure. Collaboration and Mentorship: Work collaboratively with a cross-functional team of engineers, data scientists, and project stakeholders. Provide technical guidance and mentorship to junior engineers. Qualifications and Skills: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience in Python programming, with a focus on backend development. Strong understanding of object-oriented programming (OOP) principles and design patterns. Experience with Python web frameworks (e.g., Django, Flask) and RESTful API development. Proficiency in cloud technologies (e.g., AWS, Azure & GCP) and containerization (e.g., Docker & Kubernetes). Familiarity with AI principles, machine learning algorithms, and deep learning frameworks (e.g., TensorFlow, PyTorch). Preferred Qualifications: Experience with large-scale distributed systems and microservices architectures. Knowledge of data engineering principles and big data technologies (e.g., Apache Spark). Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote Work Timings 2.30 pm -11.30 pm

Role & responsibilities: Looking for 5 to 8 years experience of ML Engineer with strong Azure Cloud DevOps with even stronger DABs DevOps skills with even stronger DABs Databricks Asset Bundles implementation knowledge. 1 Azure Cloud Engineer 2 Azure DevOps CICD experienced in DABs 3 ML Engineer for deployment Translate business requirement into technical solution Implementation of MLOPS Scalable solution using AIML and reduce the risk of Fraud and other fiscal crisis Creating MLOPS Architecture and implementing it for multiple models in a scalable and automated way Designing and implementing end to end ML solutions Operationalize and monitor machine learning models using high end tools and technologies Design implementation of DevOps principles in Machine Learning Data Science quality assurance and testing Collaborate with data scientists engineers and other key stakeholders Preferred candidate profile: Azure Cloud Engineering Design implement and manage scalable cloud infrastructure on Microsoft Azure Ensure high availability performance and security of cloud based applications Collaborate with cross functional teams to define and implement cloud solutions Azure DevOps CICD Develop and maintain CICD pipelines using Azure DevOps Automate deployment processes to ensure efficient and reliable software delivery Monitor and troubleshoot CICD pipelines to ensure smooth operation DABs Databricks Asset Bundles Implementation Lead the implementation and management of Databricks Asset Bundles Optimize data workflows and ensure seamless integration with existing systems Provide expertise in DABs to enhance data processing and analytics capabilities Machine Learning Deployment Deploy machine learning models into production environments Monitor and maintain ML models to ensure optimal performance Collaborate with data scientists and engineers to integrate ML solutions into applications.

Experience : 5+ years Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Must have Skills required: LLM agents, Ml models, MongoDB, PostgreSQL, Redis, Team management, Python, FastAPI, Generative AI Key Responsibilities Own project planning, sprint execution, and backlog prioritization across 45 product pods Lead daily standups, retrospectives, and sprint reviews for engineering+ AI teams Translate product and business requirements into structured technical tasks Review architecture plans and ensure systems are modular, scalable, and maintainable Collaborate with the Head of Engineering to validate system design decisions Troubleshoot project delays or bottlenecks and realign sprint workflows Maintain Jira/ClickUp/Notion boards with task breakdowns, dependencies, and blockers Interface with commercial and product leadership to align delivery timelines with client expectations Ensure code quality, documentation, and deployment discipline across pods Create visibility through weekly status reports, burn-down charts, and roadmap alignment Technical Skills & System Design Experience Strong foundation in system design and understanding of scalable backend architectures Familiarity with microservices, API-first architectures, and LLM/AI pipelines Experience with CI/CD, cloud deployment workflows (preferably AWS), and Dockerized environments Ability to review and guide architecture decisions made by backend and AI teams Experience managing teams working with: Python (FastAPI), React/Next.js, ML models, LLM agents, vector databases (Pinecone/FAISS), Redis, PostgreSQL, MongoDB Personal Attributes : Strong systems thinker with architectural intuition High accountabilityyou take ownership of outcomes, not just task tracking Proactive communicator with strong cross-functional coordination Skills Structured, process-driven, but adaptive when required Calm under pressure and solutions-oriented in dynamic environments Able to influence engineers and product teams through clarity and logicnot hierarchy Comfortable managing complexity across multiple teams and clients simultaneously Skills LLM agents, Ml models, MongoDB, PostgreSQL, Redis, Team management, Python, FastAPI, Generative AI

Location: Remote / Pan India , Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote Notice Period: Immediate iSource Services is hiring for one of their client for the position of AI/ML Engineer. About the Role - We are looking for a highly skilled ML Engineer with experience in cutting-edge design patterns and AI-powered applications. The ideal candidate will have a deep understanding of agentic design patterns, multi-modal RAG Systems, and practical product development experience. Design and implement Agentic Design Patterns, such as ReAct and ReWoo, to enhance the functionality and adaptability of AI systems. Utilize LLMCompiler to create efficient and scalable models and leverage LLM as Judge for decision making processes. Develop and optimize Multi-modal RAG systems, integrating diverse data modalities for advanced retrieval-augmented generation. Implement and maintain GraphRAG solutions for enhanced reasoning and contextual information retrieval. Collaborate with cross-functional teams to translate cutting-edge AI research into production-ready solutions. Contribute to the development of scalable and robust AI-powered products. Requirements: Strong knowledge of Agentic Design Patterns (ReAct, ReWoo). Proficiency in LLMCompiler and LLM as Judge methodologies. Experience building Multi-modal RAG and GraphRAG systems. 5+ years of experience in AI/ML development, including practical product development experience. Expertise in Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and large language models (LLMs). Strong problem-solving and analytical skills with a focus on innovation. Preferred Skills: Familiarity with distributed systems and cloud platforms. Experience in data engineering and model optimization. Knowledge of graph databases and advanced information retrieval techniques. ML/AI development, Python Agentic Design Patterns (ReAct, ReWoo). LLMCompiler, LLM as judge. ML models, ML frameworks.

Optum AI is UnitedHealth Groups enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. Optum AI team members: Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone. Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development. Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the worlds top universities. OptumAI is looking for a Senior Machine Learning Engineer with deep subject matter expertise in text processing, NLU and SLU (Natural language understanding and Spoken Language Understanding) who will be part of a team leading the technical development and inventions that allow Optum machine learning products drive positive impact in the healthcare business. Your expertise will bring business and industry context to science and technology decisions. As part of the OptumAI AI/ML engineering group, you set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your code, designs and documents are exemplary and are used as references across the organization. A successful candidate is a hands-on AI/ML engineering expert that will tackle intrinsically hard problems, acquiring expertise as needed. The candidate will help decompose complex problems into straightforward solutions. Primary Responsibilities: Help design and develop the next generation of NLP, ML & AI products, and services for healthcare Develop machine learning and deep learning models and systems in domains including, but not limited to: NLP, NLU, NLG, SLU and multidimensional time series forecasting among others Exposure in RAG, LangChain, VectorDBs Ability to Quantize, Optimize GenAI models Manage NLP & ML models lifecycle for a suite of products Run large complex proof-of-concepts for the healthcare business Manage prioritization and technology work for building NLP, ML & AI solutions Lead the full end-to-end machine learning development process including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation Establish best practices for end-to-end deep learning and machine learning development cycle to ensure rigor in process and quality in outcome Work with a great deal of autonomy to find solutions to complex problems Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Graduate degree in applicable area of expertise or equivalent experience Experience in deploying scalable solutions to complex problems, from defining the problem, implementing the solution, and launching the new product successfully Skill Set; NLP, NLU, NLI Architecture: Transformers, Attention Models: GPT, Llama, Mistral Model Quantization Model Optimization Retrieval & Ranking, RAG, RAGAS Statistics, Machine Learning Models, Model Deployment Proven excellent communication, writing and presentation skills Experience in the health care industry Preferred Qualification: Experience in the health care industry

Are you passionate about the chance to bring your experience to a world-class company that is market-leading or both content and technology? If yes, were looking for you. Join our team! The Product Manager, Digital Commerce Platform will analyze platform metrics and customer feedback to drive continuous improvement and innovation in personalization capabilities. About the Role In this opportunity as a Product Manager, Digital Commerce Platform, you will: Articulate and implement a forward-thinking strategy for our personalization platform, incorporating AI to enhance content relevance and user experience. Serve as the key liaison between stakeholders and product teams to gather personalization requirements, ensuring alignment with business goals and customer expectations. Explore and implement opportunities to integrate AI and GenAI into personalization solutions, driving innovation and superior value for users. Lead cross-functional Agile teams, fostering a collaborative environment focused on delivering high-quality personalization features. Create and maintain a product roadmap and backlog, prioritizing personalization features that maximize business impact and align with strategic priorities. Analyze platform metrics and customer feedback to drive continuous improvement and innovation in personalization capabilities. Conduct comprehensive research and analysis of industry trends to identify opportunities for differentiation and innovation in content personalization. Design and execute A/B testing methodologies and proof-of-concept initiatives to validate hypotheses, measure personalization effectiveness, and ensure data-driven product decisions before full-scale implementation. About You Youre a fit for the role of Product Manager, Digital Commerce Platform if your background includes: 5 years of experience as a product manager, ideally with a focus on personalization platforms and AI technologies. Experience in recommendation systems and user preference modeling is preferred. Ability to advocate for and design user-centric personalization solutions that enhance customer satisfaction and engagement. Proficient in using data analytics to inform personalization decisions and improve user experience. Strong analytical skills with the ability to interpret complex data sets and derive actionable insights. Experience working in an agile scrum development environment, with a proven track record of leading successful product teams. Excellent verbal and written communication skills, with the ability to articulate complex personalization concepts clearly and effectively. Familiarity with the technical aspects of recommendation algorithms, NLP, and ML models, with the ability to bridge communication between technical and non-technical stakeholders. Location -Ahmedabad,Mumbai,Hyderabad,New Delhi

Role Summary: This job involvesmanaging the day to day delivery of AI ML team, which will be responsible forbuilding, deploying and maintaining robust, scalable, and efficient ML models EssentialResponsibilities Lead and mentor team of data engineers, MLOps engineers, and machine learning engineers, to achieve project objectives & deliverables (development and deployment of ML models for AI use cases across the platform) Collaborate with business, engineering, infrastructure and data science teams to translate their needs or challenges into production-grade Artificial Intelligence and Machine Learning models for batch and real-time requirements Primary point of contact for US & Thryve leaders, ensuring clear communication and aligning with project goals and objectives Guide team of AI ML engineers with respect to business objectives and connecting the dots, helping to team to come up with optimal ML models based on use cases Manage day to day operation and ensure adherence to process, scope, quality and timelines Incumbent to assume role of an engagement coordinator between Thryve India team and US counterparts (techno functional) Highlight risks and concerns to leadership team, work with multiple stakeholders to establish alignment, contingency and or mitigation plans as required Experienced and proactive in tracking delivery statuses, project progress and take ownership of all deliverables from Thryve Effective communicator with team members, US stakeholders and management Stay up-to-date with the latest trends andadvancements in AI and ML and identify opportunities for the team to implementnew models and technologies Other duties as assigned or requested approximately 50% technical and 50% management Proposeand implement best engineering and research practices for scaling ML-poweredfeatures, with a goal to enable fast iteration of and efficient experimentationwith novel features Theexperience we are looking to add to our team Required Bachelor's degree in engineering or computerScience or related field 12 to 15 years of total experience with atleast 1+ year experience in leading / managing AI - ML projects achieving clear& measurable business objectives Good understanding of US Health insurance withat least 3+ years experience in the same Good experience / understanding of the entire MLOps from data ingestion to production Good understanding of AI-ML concepts &algorithms, including supervised, unsupervised, and reinforcement learning, as well as MLOps Ability to take successful, complex ideas fromexperimentation to production Knowledge / experience in Google cloud [GCP]or any public cloud platforms Excellent communication, presentation, andinterpersonal skills Proven experience in leading, motivating &inspiring teams to foster collaboration Proficient in identifying, assessing andcalling out risks and mitigation plans to stakeholders Experience in implementing processimprovements and learning from past projects to enhance future performance Able to analyze external and internalprocesses, and creating strategies for service delivery optimization Experience in working with diverse teams andstakeholders, understanding their needs and managing expectations

Role - Senior Data Scientist / Senior Gen AI Engineer Exp Range - 8 to 18 yrs Position - Permanent Fulltime Company - Data Analytics & AIML MNC Location - Hyderabad, Pune, Bangalore (Relocation accepted) About the Role: We are seeking a Software Engineer with expertise in Generative AI and Microsoft technologies to design, develop, and deploy AI-powered solutions using the Microsoft ecosystem. You will work with cross-functional teams to build scalable applications leveraging generative AI models and Azure services. Skills Required: Experience with Large Language Models (LLMs) like GPT, LLaMA, Claude, etc. Proficiency in Python for building and fine-tuning AI/ML models Familiarity with LangChain , LLMOps , or RAG (Retrieval-Augmented Generation) pipelines Experience with Vector Databases (e.g. FAISS, Pinecone, Weaviate) Knowledge of Prompt Engineering and model evaluation techniques Exposure to cloud platforms (Azure, AWS or GCP) for deploying GenAI solutions Preferred Skills: Experience with Azure OpenAI , Databricks or Microsoft Fabric Hands-on with Hugging Face Transformers , OpenAI APIs or custom model training

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion its a place where you can grow, belong and thrive. Your day at NTT DATA We are seeking a talented AI/GenAI Engineer to join our team in delivering cutting-edge AI solutions to clients. The successful candidate will be responsible for implementing, developing, and deploying AI/GenAI models and solutions on cloud platforms. This role requires knowledge of ServiceNow modules like CSM and virtual agent development. Candidate should have strong technical aptitude, problem-solving skills, and the ability to work effectively with clients and internal teams. What youll be doing Key Responsibilities: Cloud AI Implementation: Implement and deploy AI/GenAI models and solutions using various cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI) and frameworks (e.g., TensorFlow, PyTorch, LangChain, Vellum). Build Virtual Agent in SN Design, develop and deploy virtual agents using SN agent builder Integrate SN Design and develop seamless integration of SN with other external AI systems Agentic AI: Assist in developing agentic AI systems on cloud platforms, enabling autonomous decision-making and action-taking capabilities in AI solutions. Cloud-Based Vector Databases: Implement cloud-native vector databases (e.g., Pinecone, Weaviate, Milvus) or cloud-managed services for efficient similarity search and retrieval in AI applications. Model Evaluation and Fine-tuning: Evaluate and optimize cloud-deployed generative models using metrics like perplexity, BLEU score, and ROUGE score, and fine-tune models using techniques like prompt engineering, instruction tuning, and transfer learning. Security for Cloud LLMs: Apply security practices for cloud-based LLMs, including data encryption, IAM policies, and network security configurations. Client Support Support client engagements by implementing AI requirements and contributing to solution delivery. Cloud Solution Implementation: Build scalable and efficient cloud-based AI/GenAI solutions according to architectural guidelines. Cloud Model Development: Develop and fine-tune AI/GenAI models using cloud services for specific use cases, such as natural language processing, computer vision, or predictive analytics. Testing and Validation Conduct testing and validation of cloud-deployed AI/GenAI models, including performance evaluation and bias detection. Deployment and Maintenance Deploy AI/GenAI models in production environments, ensuring seamless integration with existing systems and infrastructure. Cloud Deployment Deploy AI/GenAI models in cloud production environments and integrate with existing systems. Education Bachelor/Masters in Computer Science, AI, ML, or related fields. Experience 3-5 years of experience in engineering solutions, with a track record of delivering Cloud AI solutions. . Should have at least 2 years experience of SN and SN agent builder Technical Skills: Proficiency in cloud AI/GenAI services and technologies across major cloud providers (AWS, Azure, GCP) Experience with cloud-native vector databases and managed similarity search services Experience with SN modules like CSM and virtual agent builder Experience with security measures for cloud-based LLMs, including data encryption, access controls, and compliance requirements Programming Skills: Strong programming skills in languages like Python or R Cloud Platform Knowledge: Strong understanding of cloud platforms, their AI services, and best practices for deploying ML models in the cloud Communication Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal teams. Problem-Solving Strong problem-solving skills, with the ability to analyse complex problems and develop creative solutions. Nice to have: Experience with serverless architectures for AI workloads Nice to have: Experience with ReactJS for rapid prototyping of cloud AI solution frontends Location: Delhi or Bangalore (with remote work options)

AI/ML Models: Experience with Automated Valuation Models (AVM) and real-world deployment of machine learning models LangChain: Proficient in using LangChain for building LLM-powered applications Data Science Toolkit: Hands-on with Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, and Jupyter Feature Engineering: Strong background in feature engineering and data intelligence extraction Data Handling: Comfortable with structured, semi-structured, and unstructured data Production Integration: Experience integrating models into APIs and production environments using Python-based frameworks Location-Remote, Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad

BMC is looking for an experienced Data Science Engineer with hands-on experience with Classical ML, Deep Learning Networks and Large Language Models, knowledge to join us and design, develop, and implement microservice based edge applications , using the latest technologies.? In this role, you will be responsible for End-to-end design and execution of BMC Data Science tasks, while acting as a focal point and expert for our data science activities. You will research and interpret business needs, develop predictive models, and deploy completed solutions. You will provide expertise and recommendations for plans, programs, advance analysis, strategies, and policies. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Ideate, design, implement and maintain enterprise business software platform for edge and cloud, with a focus on Machine Learning and Generative AI Capabilities, using mainly Python Work with a globally distributed development team to perform requirements analysis, write design documents, design, develop and test software development projects. Understand real world deployment and usage scenarios from customers and product managers and translate them to AI/ML features that drive value of the product. Work closely with product managers and architects to understand requirements, present options, and design solutions. Work closely with customers and partners to analyze time-series data and suggest the right approaches to drive adoption. Analyze and clearly communicate both verbally and in written form the status of projects or issues along with risks and options to the stakeholders. To ensure youre set up for success, you will bring the following skillset & experience: You have 8+ years of hands-on experience in data science or machine learning roles. You have experience working with sensor data, time-series analysis, predictive maintenance, anomaly detection, or similar IoT-specific domains. You have strong understanding of the entire ML lifecycle: data collection, preprocessing, model training, deployment, monitoring, and continuous improvement. You have proven experience designing and deploying AI/ML models in real-world IoT or edge computing environments. You have strong knowledge of machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost). Whilst these are nice to have, our team can help you develop in the following skills: Experience with digital twins, real-time analytics, or streaming data systems. Contribution to open-source ML/AI/IoT projects or relevant publications. Experience with Agile development methodology and best practice in unit testin Experience with Kubernetes (kubectl, helm) will be an advantage. Experience with cloud platforms (AWS, Azure, GCP) and tools for ML deployment (SageMaker, Vertex AI, MLflow, etc.).

BMC AMI Cost and Capacity Management - As digitization increases, so does the complexity of managing mainframe capacity and costs. BMC AMI Cost and Capacity portfolio increases availability, predicts capacity bottlenecks before they occur, and optimizes mainframe software costs. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: We are seeking a Python with AI/ML Developer to join a highly motivated team responsible for developing and maintaining innovation for mainframe capacity and cost management. As an Application Developer at BMC, you will be responsible for: Developing and integrating AI/ML models with a focus on Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and Vector Databases to enhance intelligent decision-making. Building scalable AI pipelines for real-time and batch inference, optimizing model performance, and deploying AI-driven applications. Implementing RAG-based architectures using LLMs (Large Language Models) for intelligent search, chatbot development, and knowledge management. Utilizing vector databases (e.g., FAISS, ChromaDB, Weaviate, Pinecone) to enable efficient similarity search and AI-driven recommendations. Developing modern web applications using Angular to create interactive and AI-powered user interfaces. Developing APIs and microservices to expose AI/ML models for enterprise applications. Processing and analyzing structured & unstructured data, including text, images, and time-series data for AI/ML applications. Optimizing ML models for performance and scalability, ensuring low latency and high availability in production. Staying updated with advancements in GenAI, NLP, transformers, and deep learning architectures to drive innovation. Collaborating with cross-functional teams to integrate AI capabilities into existing applications and workflows. To ensure youre set up for success, you will bring the following skillset & experience: Strong proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, LangChain. Experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone) for semantic search and embeddings. Hands-on expertise in LLMs (GPT, LLaMA, Mistral, Claude, etc.) and fine-tuning/customizing models. Proficiency in Retrieval-Augmented Generation (RAG) and prompt engineering for AI-driven applications. Experience with Angular for developing interactive web applications. Experience with RESTful APIs, FastAPI, Flask, or Django for AI model serving. Working knowledge of SQL and NoSQL databases for AI/ML applications. Hands-on experience with Git/GitHub, Docker, and Kubernetes for AI/ML model deployment. Whilst these are nice to have, our team can help you develop in the following skills: Experience with knowledge graphs, semantic search, and enterprise AI applications. Additional experience with .NET v7+ and cross-platform .NET development would be helpful. Exposure to IBM z/OS mainframe environments and AI-driven optimization for legacy systems. Background in statistical data analysis, reinforcement learning, or advanced ML techniques.