1230 Inference Jobs - Page 5

Job Description Job responsibilities: Perform QA for polymer components including dimensional measurements, mechanical strength, thermal performance, and morphological characterization. Conduct ageing tests at coupon-level and product-level with propellant to assess and predict shelf life. Build and maintain relationships with vendors during product development and testing. Track and manage materials—including inventory control, proper storage, and handling protocols. Ensure the proper functioning and maintenance of the experimental instruments used for the polymer QA including regular calibration, inspection of working conditions, and accuracy of the instruments. Identify the scope of product quality improvement opportunities from raw materials to finished products. Modify formulations to enhance compatibility and shelf life with propellants. Perform literature reviews and hands-on experiments to solve technical problems. Identify, analyze, and evaluate problem statements related to product development and functioning. Create technical reports and presentations on experimental findings to document. Ensure proper documentation of daily experiments and findings. Collaborate across departments and thorough understanding of the requirements and problem statements. Education and/or experience: Candidates must have successfully completed their master's degree in the relevant course including Polymer Science, Polymer Chemistry, and Physical Chemistry from an accredited college. Candidates have significant practical and theoretical knowledge or experience in handling synthetic elastomers and engineering plastics Knowledge, Skills, and Abilities Hands-on experience in the formulation and QA of elastomers. Skill in operating and maintaining various polymer QA instruments including hardness, UTM, specific gravity, compression set, etc. Significant knowledge in polymer characterization techniques including SEM-EDX, ATR-FTIR, chromatographic and spectroscopic techniques. Theoretical and practical knowledge in QA/QC, shelf-life determination of the polymers Experience in safely handling chemicals, with knowledge in handling acids, alkalis, solvents, oxidizers, their interactions, hazard identification, production methods, and disposal procedures. Efficient in handling and maintenance of experimental documents and effectively documenting the observation and inference from the experiments Ability to maintain the cleanliness and follows the laboratory protocols Knowledge of polymer based propellant management devices used in aerospace applications. Hands-on skills in conducting tests and troubleshooting within a laboratory setting. Proficient in effectively communicating technical problems and concepts to both technical and non-technical audiences through written documents, visual presentations, and oral communication strategies. Physical Requirements/Working Conditions: On foot in the lab experiments needs to be performed, working with chemicals and polymer test equipment If you are interested in building your career in the field of space or would like to explore options in the same, then this would be the best opportunity to give it a shot at our company. Do contact us for more information. Company Website and LinkedIn: https://www.manastuspace.com/https://www.linkedin.com/company/manastu-space/ Contact information: careers@manastuspace.com

Job Description: MLOps Engineer / ML Platform Engineer Location: [Remote / Gurgaon] Experience: 3-7 years Type: Full-time About the Role: We are looking for a passionate and skilled MLOps Engineer to design, implement, and manage scalable ML infrastructure and pipelines. You will work closely with Data Scientists, ML Engineers, and DevOps to ensure smooth experimentation, model deployment, and lifecycle management using modern tools and cloud-native technologies. Key Responsibilities: - Design and implement CI/CD pipelines for ML workflows using GitHub Actions, Jenkins, or ArgoCD - Build and manage containerized ML applications using Docker and deploy on Kubernetes - Automate end-to-end ML pipelines using Kubeflow or similar workflow orchestration tools - Track model lifecycle, parameters, and metrics using MLflow - Collaborate with ML teams to enable reproducible and version-controlled training and deployment - Implement monitoring, logging, and rollback mechanisms for ML models in production - Optimize resource allocation and scaling using Kubernetes-native solutions Must-Have Skills: - 3+ years of experience in DevOps, MLOps, or cloud-native infrastructure roles - Hands-on with Kubernetes and Docker for orchestration and deployment - Proficient in building CI/CD pipelines (GitHub Actions, Jenkins, etc.) - Strong understanding of MLflow for experiment tracking and model registry - Experience with Kubeflow or similar ML workflow orchestration tools - Knowledge of Python and shell scripting - Familiarity with cloud platforms (AWS, GCP, or Azure) Good to Have: - Exposure to infrastructure-as-code (e.g., Terraform, Helm) - Understanding of feature stores, model monitoring tools (e.g., Evidently, Prometheus)- Knowledge of data versioning tools (e.g., DVC) What We Offer: - Opportunity to build and scale cutting-edge ML infrastructure - Collaborative and fast-paced environment - Learning budget for certifications, conferences, and courses - Remote-friendly and flexible work culture At Bern AI Lab , we're building the next generation of AI-native systems: modular, agentic, and production-ready. Our mission is to empower enterprises with intelligent infrastructure that not only understands but evolves. From cutting-edge MLOps to scalable LLM applications, we help companies move beyond pilots into production with confidence. We’re a team of engineers, researchers, and builders obsessed with pushing the boundaries of what’s possible with AI. Whether it’s automating model lifecycle management or designing real-time inference systems, we operate at the intersection of machine learning, systems engineering, and modern DevOps. If you're excited by clean abstractions, real-world scale, and working on problems no one has solved yet, we’d love to hear from you. To Apply: Apply over LinkedIn and send your resume and GitHub/portfolio to talent@bernailab.com

We are seeking a hands-on Solution Architect / Tech Owner with deep expertise in building and scaling Data & AI products end-to-end. This role demands a strong foundation in cloud-native architecture (AWS) , machine learning (ML) , LLM-based GenAI integration , and a design thinking mindset to translate business needs into resilient, high-performance solutions. The ideal candidate has led the technical delivery of scalable GenAI platforms, architected modular backend systems and frontend interfaces, and built ML pipelines in production environments. You will be responsible for owning system design, guiding technical teams , deploying full-stack infrastructure, and ensuring robust governance and security across all layers. Key Responsibilities Architect and deliver end-to-end GenAI platforms using AWS (ECS, RDS, Lambda, S3) with real-time LLM orchestration and RAG workflows. Design and implement Python microservices with Redis caching and vector search using Qdrant or Redis Vector . Integrate GenAI models and APIs (OpenAI, HuggingFace, LangChain,LangGraph), including containerized inference services and secured API pipelines. Lead frontend architecture using Next.js (TypeScript) with SSR and scalable client-server routing. Own infrastructure automation and DevOps using Terraform, AWS CDK, GitHub Actions , and Docker-based CI/CD pipelines. Manage and optimize data architecture across Snowflake , PostgreSQL (RDS), and S3 for both analytical and transactional needs. Knowledge of database pipeline and data quality , transitioning legacy systems to modular, cloud-native deployments. Champion engineering culture , leading design/code reviews, mentoring team members, and aligning technical priorities with product strategy. Ensure compliance, encryption, and data protection via AWS security best practices (IAM, Secrets Manager, WAF, API Gateway). Ideal Candidate Profile Proven track record as a Solution Architect / Tech Lead on large-scale Data & AI products with GenAI integration. Deep knowledge of AWS cloud services , microservices architecture, and full-stack deployment. Strong understanding of ML lifecycle and productionization of LLMs / GenAI APIs . Practical experience with design thinking , breaking down problems from user need to system delivery. Excellent leadership, communication, and mentoring skills to drive team alignment and technical execution.

About Us InMobi is the leading provider of content, monetization, and marketing technologies that fuel growth for industries around the world. Our end-to-end advertising software platform, connected content, and commerce experiences activate audiences, drive real connections, and diversify revenue for businesses everywhere. InMobi Advertising is an end-to-end advertising platform that helps advertisers drive real connections with consumers. We drive customer growth by helping businesses understand, engage, and acquire consumers effectively through data-driven media solutions. Learn more at advertising.inmobi.com. Glance is a consumer technology company that operates disruptive digital platforms, including Glance, Roposo, and Nostra. Glance’s smart lockscreen and TV experience inspires consumers to make the most of every moment by surfing relevant content without the need for searching and downloading apps. Glance is currently available on over 450 million smartphones and televisions worldwide. Learn more at glance.com. Born in India, InMobi maintains a large presence in Bangalore and San Mateo, CA, and has operations in New York, Singapore, Delhi, Mumbai, Beijing, Shanghai, Jakarta, Manila, Kuala Lumpur, Sydney, Melbourne, Seoul, Tokyo, London, and Dubai. To learn more, visit inmobi.com. About InMobi Demand Side Platform (DSP) InMobi DSP is growing rapidly as the preferred platform for mobile app marketers globally, with investments in proprietary AI models, privacy-first architecture, and deep performance capabilities. As the Director of Product Management for AI/ML, you’ll have the opportunity to shape the brain of the DSP — working on cutting-edge problems in advertising, optimization, and personalization. Overview Of Role We are looking for a visionary and execution-focused Director of Product Management to lead the evolution of the AI/ML stack that powers InMobi's Demand Side Platform (DSP) . This person will play a pivotal role in shaping the intelligence that drives campaign performance, optimization, and decisioning at scale across billions of ad requests per day. This is a high-impact leadership role that sits at the heart of our DSP growth strategy. You will lead the product charter for areas such as bid prediction models, budget pacing, ad engagement models, targeting engines, A/B experimentation platforms, real-time inference infrastructure and underlying data and intelligence stacks. You will directly influence revenue by shaping how DSP Platform delivers on advertisers and agency performance marketing objectives and grow our share of wallet in their growth budgets. You will define the InMobi’s competitive edge in mobile performance advertising through a differentiated AI/ML platform. This role reports to the VP of Product for InMobi DSP and works cross-functionally with Data Science, engineering, Trading, Product marketing, and our GTM teams. You’ll be a key driver of strategy and execution as we build the platform for next orbit of growth across mobile app and web. This role is on-site based in our Bangalore office and may include quarterly travel to our Bay Area office. Key Responsibilities Own and drive the product roadmap for all AI/ML engines powering InMobi DSP's performance and efficiency. Partner closely with Data Science, Engineering, Trading, Sales, and GTM teams to define, prioritize, and deliver features that improve advertiser outcomes (CPI, ROAS, LTV). Define clear product requirements and success metrics for machine learning models (e.g., CTR prediction, user scoring, conversion models). Guide the evolution of our model training pipelines, feature stores, user identities, real-time inference, and feedback loops for continual learning. Evangelize the data and signals collection, standardization, retention across the InMobi group in a Privacy-first manner Translate business strategy into ML product strategy that balances innovation with operational rigor Drive adoption of AI/ML models across the business stakeholders Build a strong culture of experimentation and data-driven product development Experience What We’re Looking For 8-12 years of experience in Product Management, with at least 5 years building AI/ML-based products (preferably in the AdTech or performance marketing domain) Proven experience working with large-scale distributed systems, ML pipelines, or real-time decision engines Good understanding of programmatic advertising ecosystem Prior experience with ML infrastructure products is a plus. Technical Fluency Solid grasp of machine learning concepts, including supervised learning, reinforcement learning, data and model drifts, experimentation frameworks, etc. Experience working with data science teams to convert models into production systems. Familiarity with MLOps, real-time inference, A/B testing platforms, and feature engineering pipelines. Functional & Leadership Skills Strategic thinking and ability to align AI/ML roadmap with business goals. Strong analytical mindset and data fluency to define and evaluate product success. Excellent written and verbal communication skills; ability to influence across functions and seniority levels. Passion for mentoring and building high-performance product teams Bias for action, and a passion for building in fast-paced, cross-functional environments The InMobi Culture At InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values of thinking big, being passionate, showing accountability, and taking ownership with freedom – guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity and we make reasonable accommodations for qualified individuals with disabilities. Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!

About The Role We are looking for an experienced Senior AI Engineer to lead the development of scalable AI-driven systems that power next-generation Customer Support Copilots . This role focuses on building and integrating models for text, translation, image, and audio processing , with a strong emphasis on production-grade deployments, API integration, and intent/sentiment understanding. The ideal candidate is a hands-on engineer with a deep understanding of AI technologies and strong backend development experience. You will work at the intersection of AI and system design, ensuring our AI services are robust, scalable, and production-ready. Requirements Key Responsibilities Design and develop AI-powered systems for multilingual translation, image understanding, audio transcription, and sentiment/intent analysis Improve and optimize classification models for intent detection and sentiment analysis in real-world support conversations Develop and maintain REST APIs, webhooks, and real-time data pipelines using Kafka Build scalable microservices for AI model inference, training, and retraining pipelines Collaborate with ML researchers and product teams to translate prototypes into robust applications Deploy and manage AI services in containerized environments using Docker and Kubernetes Integrate with databases like YugabyteDB, Snowflake, and other storage backends for feature storage and logging Monitor performance, reliability, and scalability of AI systems in production Required Skills And Qualifications 5+ years of experience in software engineering with at least 3+ years in AI/ML systems Strong proficiency in Python for backend and ML development Solid experience working with NLP/NLU, audio processing, image models, or translation models Good understanding of intent classification, sentiment analysis, and multimodal AI systems Proficiency in building and scaling APIs, integrating webhooks, and managing Kafka-based messaging pipelines Hands-on experience with Docker, Kubernetes, and CI/CD workflows Strong understanding of microservices architecture and scalable system design Familiarity with databases like PostgreSQL, Yugabyte, and Snowflake Experience with cloud platforms (AWS/GCP/Azure) Preferred Qualifications Working knowledge of Clojure or interest in functional programming paradigms Background in customer support, conversational AI, or AI copilots Experience integrating audio transcription models (e.g., Whisper), image analysis models, or multilingual translation APIs Exposure to MLOps and LLMOps practices Benefits Hybrid setup Worker's insurance Paid Time Offs Other employee benefits to be discussed by our Talent Acquisition team in India Closing: Helpshift embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status. Privacy Notice By providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice. For more information, please see our Applicant Privacy Notice at https://www.keywordsstudios.com/en/applicant-privacy-notice.

🌐 We're Hiring: Advanced AI Researchers & Engineers | Join JTW's Innovation Team At JohnTuringWatson Software Solutions Pvt Ltd (JTW) , we're building the future of AI—and we're looking for exceptional talent to help lead it. Our AI Research Lab is actively working on cutting-edge solutions in Agentic AI , Edge Intelligence , and Quantum Computing , and we’re expanding our team. If you're passionate about solving real-world problems using AI, Machine Learning , and next-gen computation models , we’d love to connect with you. Experience Level: Experience level is 0-5 years /freshers, with a a strong GIT repository can apply for this job. 🔍 We’re Looking for Talent With Expertise in One or More of the Following Areas: Agentic AI – Designing autonomous, reasoning-driven systems Edge AI – Building low-latency, on-device inference models Quantum Computing – Practical experience with IBM Quantum or Azure Quantum Quantum Development Frameworks – Proficiency in Qiskit , Q# , or Cirq Python (required) for ML/AI pipelines and quantum programming Deep Learning – Using TensorFlow, PyTorch, or Hugging Face frameworks NLP and LLMs – Experience with transformer architectures , prompt engineering, or fine-tuning models ML Ops – Knowledge in model deployment, performance tuning , and monitoring Strong foundations in Mathematics, Probability, Linear Algebra , and Statistics 🧠 Ideal Candidate Profile: Solid understanding of AI/ML concepts , including supervised, unsupervised, and reinforcement learning Ability to research, prototype, and scale AI models into production Comfortable working in a cross-functional R&D environment Prior experience in contributing to AI publications, open-source projects, or patents (a plus) 🚀 Why Join JTW? Work on industry-defining projects with an elite research team Exposure to emerging domains like Agentic AI , Edge-native models , and Quantum-AI fusion A collaborative, innovation-first culture with global delivery reach Access to dedicated infrastructure, including AI model labs and quantum simulators 📩 Ready to make an impact? Send your resume to jobs@johnturingwatson.ai Explore more at www.johnturingwatson.ai

Title: Senior Al/ ML Engineer. (5- 7 years of Experience) Job Location: Hyderabad, Telangana Job type: permanent Work Mode: Onsite Need only Immediate Joiners- Notice period profiles are not accepted this time. Description Our client is seeking a hands-on AI/ML Engineer with deep expertise in large language models, retrieval-augmented generation (RAG), and cloud-native ML development on AWS. You'll be a key driver in building scalable, intelligent learning systems powered by cutting-edge AI and robust AWS infrastructure. If you’re passionate about combining NLP, deep learning, and real-world applications at scale, this is the role for you. A minimum of 3 years of specialized experience in AI/ML is required. Core Skills & Technologies LLM Ecosystem & APIs OpenAI, Anthropic, Cohere Hugging Face Transformers LangChain, LlamaIndex (RAG orchestration) Vector Databases & Indexing FAISS, Pinecone, Weaviate AWS-Native & ML Tooling Amazon SageMaker (training, deployment, pipelines) AWS Lambda (event-driven workflows) Amazon Bedrock (foundation model access) Amazon S3 (data lakes, model storage) AWS Step Functions (workflow orchestration) AWS API Gateway & IAM (secure ML endpoints) CloudWatch, Athena, DynamoDB (monitoring, analytics, structured storage) Languages & ML Frameworks Python (primary), PyTorch, TensorFlow NLP, RAG systems, embeddings, and prompt engineering What You’ll Do • Model Development & Tuning o Designs architecture for complex AI systems and makes strategic technical decisions o Evaluates and selects appropriate frameworks, techniques, and approaches o Fine-tune and deploy LLMs and custom models using AWS SageMaker o Build RAG pipelines with LlamaIndex/LangChain and vector search engines • Scalable AI Infrastructure The architect distributed model training and inference pipelines on AWS o Design secure, efficient ML APIs with Lambda, API Gateway, and IAM • Product Integration o Leads development of novel solutions to challenging problems o Embed intelligent systems (tutoring agents, recommendation engines) into learning platforms using Bedrock, SageMaker, and AWS-hosted endpoints • Rapid Experimentation o Prototype multimodal and few-shot learning workflows using AWS services o Automate experimentation and A/B testing with Step Functions and SageMaker Pipelines • Data & Impact Analysis o Leverage S3, Athena, and CloudWatch to define metrics and continuously optimize AI performance • Cross-Team Collaboration o Work closely with educators, designers, and engineers to deliver AI features that enhance student learning o Mentors junior engineers and provides technical leadership Who You Are • Deeply Technical: Strong foundation in machine learning, deep learning, and NLP/LLMs • AWS-Fluent: Extensive experience with AWS ML services (especially SageMaker, Lambda, and Bedrock) • Product-Minded: You care about user experience and turning ML into real-world value • Startup-Savvy: Comfortable with ambiguity, fast iterations, and wearing many hats • Mission-Aligned: Passionate about education, human learning, and AI for good Bonus Points • Hands-on experience fine-tuning LLMs or building agentic systems using AWS • Open-source contributions in AI/ML or NLP communities • Familiarity with AWS security best practices (IAM, VPC, private endpoints)

Job Title: Senior Data Engineer Experience: 8–12 Years Location: Remote Key Responsibilities: Design, build, and maintain scalable data pipelines using Databricks and Apache Spark. Develop and maintain robust data architecture and ETL/ELT frameworks for structured and unstructured data. Collaborate with Data Scientists and ML Engineers to enable end-to-end ML model pipelines - from data ingestion and feature engineering to model deployment and monitoring. Ensure data quality, integrity, and governance across various data sources and systems. Optimize data processing jobs for performance and cost-effectiveness in cloud environments (preferably Azure or AWS). Implement best practices for CI/CD, data versioning, and workflow orchestration (e.g., using Airflow, MLflow, Delta Lake, etc.). Required Skills and Qualifications: 8–12 years of experience in data engineering, with a strong background in big data technologies. Expertise in Databricks, Apache Spark, Delta Lake, and associated cloud data services. Solid experience in designing and implementing data lakehouses, data warehouses, and real-time/streaming data pipelines. Proficient in Python, SQL, and at least one cloud platform (Azure preferred; AWS/GCP also acceptable). Strong understanding of ML lifecycle, including feature stores, model training, and inference pipelines. Hands-on experience integrating and scaling AI/ML models in production environments. Experience with CI/CD tools, infrastructure as code, and version control (e.g., Git, Terraform).

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Product at Innovaccer Our product team is a collaborative group of talented professionals who transform ideas into real-life solutions. They guide the creation, development, and launch of new products, ensuring alignment with our overall business strategy. Additionally, we are leveraging AI across all our solutions, revolutionizing healthcare and shaping the future to make a meaningful impact on the world.You’ll have the opportunity to build the foundation for intelligence in healthcare, shaping how LLMs and AI agents power clinical decision-making, operations, and patient engagement — safely, responsibly, and at scale.Join a team that values speed, openness, and ownership — and be part of the company that's changing healthcare through data and AI. About the Role We are looking for a visionary Senior Director of Product Management-AI Platform to define, shape, and drive the strategy for Innovaccer’s AI Platform-a foundational layer that will power intelligent applications,LLM-based agents, and precision workflows across the healthcare ecosystem.You will lead the development of modular infrastructure and frameworks that enable safe,scalable, and context-aware AI-including SLMs, LLMs, and autonomous agents. Your leadership will guide how we abstract complexity, orchestrate models,and ensure responsible deployment across real-world clinical and operational settings.You’ll sit at the intersection of data, ML, engineering, and healthcare delivery-translating cutting-edge AI into actionable, productized value. A Day in the Life Own the Vision Define and communicate the long-term product vision and roadmap for the AI Platform Align product strategy with Innovaccer’s AI-first approach and broader business goals Drive clarity around the role of LLMs, agent frameworks, and contextual AI within Innovaccer’s platform ecosystem Build the Foundation Architect and deliver core platform capabilities such as: Model Context Protocol layers for injecting structured healthcare data into AI workflows Agent frameworks with planning, memory, and tools integration Evaluation pipelines for safety, fairness, and domain alignment Model orchestration, fine-tuning, and inference APIs Lead cross-functional delivery with engineering, MLOps, and design teams to bring products from concept to scale Lead in the AI Community Represent Innovaccer in industry conversations on LLMs, RAG, agent safety, and applied healthcare AI Stay ahead of advancements in GenAI, healthcare-specific LLMs, multimodal models, and regulatory AI frameworks (e.g., HIPAA, FDA, EU AI Act) Champion responsible AI and standardization efforts through internal policy and external partnership Enable Internal & External Builders Deliver reusable toolkits, SDKs, and APIs to enable internal teams and customers to build healthcare-native AI products Partner with clinical informatics, data science, and platform engineering to ensure contextual accuracy and safety & collaborate with customer-facing teams to drive adoption and value realization What You Need 14+ years of product management experience, with 5+ years in AI/ML platform or data infrastructure products Proven experience building and scaling platforms for LLMs, SLMs, AI agents, or multi-modal AI applications Deep understanding of Agent architectures and orchestration,Retrieval-augmented generation (RAG),Vector stores, embeddings, prompt engineering,Model governance and evaluation Hands-on familiarity with platforms like LangChain, Hugging Face, Pinecone, Weaviate, MLflow, and cloud AI stacks (AWS, GCP, Azure) Ability to communicate complex concepts to both technical and business audiences Experience working with healthcare data (FHIR, HL7, CCD, EHRs, claims, etc.) Knowledge of AI safety, explainability, and compliance in regulated environments Published thought leadership or contributions to AI communities, open-source, or technical working groups We offer competitive benefits to set you up for success in and outside of work. Here’s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where and how we work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team.Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure— extending the human touch in healthcare. For more information, visit www.innovaccer.com . Check us out on YouTube , Glassdoor , LinkedIn , Instagram , and the Web .

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Product at Innovaccer Our product team is a collaborative group of talented professionals who transform ideas into real-life solutions. They guide the creation, development, and launch of new products, ensuring alignment with our overall business strategy. Additionally, we are leveraging AI across all our solutions, revolutionizing healthcare and shaping the future to make a meaningful impact on the world.You’ll have the opportunity to build the foundation for intelligence in healthcare, shaping how LLMs and AI agents power clinical decision-making, operations, and patient engagement — safely, responsibly, and at scale.Join a team that values speed, openness, and ownership — and be part of the company that's changing healthcare through data and AI. About the Role We are looking for a visionary Director of Product Management-AI Platform to define, shape, and drive the strategy for Innovaccer’s AI Platform-a foundational layer that will power intelligent applications,LLM-based agents, and precision workflows across the healthcare ecosystem.You will lead the development of modular infrastructure and frameworks that enable safe,scalable, and context-aware AI-including SLMs, LLMs, and autonomous agents. Your leadership will guide how we abstract complexity, orchestrate models,and ensure responsible deployment across real-world clinical and operational settings.You’ll sit at the intersection of data, ML, engineering, and healthcare delivery-translating cutting-edge AI into actionable, productized value. A Day in the Life Own the Vision Define and communicate the long-term product vision and roadmap for the AI Platform Align product strategy with Innovaccer’s AI-first approach and broader business goals Drive clarity around the role of LLMs, agent frameworks, and contextual AI within Innovaccer’s platform ecosystem Build the Foundation Architect and deliver core platform capabilities such as: Model Context Protocol layers for injecting structured healthcare data into AI workflows Agent frameworks with planning, memory, and tools integration Evaluation pipelines for safety, fairness, and domain alignment Model orchestration, fine-tuning, and inference APIs Lead cross-functional delivery with engineering, MLOps, and design teams to bring products from concept to scale Lead in the AI Community Represent Innovaccer in industry conversations on LLMs, RAG, agent safety, and applied healthcare AI Stay ahead of advancements in GenAI, healthcare-specific LLMs, multimodal models, and regulatory AI frameworks (e.g., HIPAA, FDA, EU AI Act) Champion responsible AI and standardization efforts through internal policy and external partnership Enable Internal & External Builders Deliver reusable toolkits, SDKs, and APIs to enable internal teams and customers to build healthcare-native AI products Partner with clinical informatics, data science, and platform engineering to ensure contextual accuracy and safety & collaborate with customer-facing teams to drive adoption and value realization What You Need 14+ years of product management experience, with 5+ years in AI/ML platform or data infrastructure products Proven experience building and scaling platforms for LLMs, SLMs, AI agents, or multi-modal AI applications Deep understanding of Agent architectures and orchestration,Retrieval-augmented generation (RAG),Vector stores, embeddings, prompt engineering,Model governance and evaluation Hands-on familiarity with platforms like LangChain, Hugging Face, Pinecone, Weaviate, MLflow, and cloud AI stacks (AWS, GCP, Azure) Ability to communicate complex concepts to both technical and business audiences Experience working with healthcare data (FHIR, HL7, CCD, EHRs, claims, etc.) Knowledge of AI safety, explainability, and compliance in regulated environments Published thought leadership or contributions to AI communities, open-source, or technical working groups We offer competitive benefits to set you up for success in and outside of work. Here’s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where and how we work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team.Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure— extending the human touch in healthcare. For more information, visit www.innovaccer.com. Check us out on YouTube , Glassdoor , LinkedIn , Instagram , and the Web .

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities: - Continuously evaluate and improve existing processes to enhance efficiency. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing sessions to enhance team skills and capabilities. - Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development: Design, build, and maintain scalable pipelines for model training to support our AI initiatives. - Model Deployment & Serving: Deploy machine learning models as robust, secure services – containerize models with Docker and serve them via FastAPI on AWS – ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference. - CI/CD Automation: Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery. - Model Lifecycle Management: Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory - Monitoring & Optimization: Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time. - Must To Have Skills: Proficiency in Machine Learning Operations. - Strong understanding of cloud-based AI services and deployment strategies. - Should have Multi Cloud skills - Experience with Machine learning frameworks - Ability to implement and optimize machine learning models for production environments. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning Operations. - This position is based at our Bengaluru office. - A 15 years full time education is required.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations, Manual Testing Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities: - Continuously evaluate and improve existing processes to enhance efficiency. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing sessions to enhance team skills and capabilities. - Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development: Design, build, and maintain scalable pipelines for model training to support our AI initiatives. - Model Deployment & Serving: Deploy machine learning models as robust, secure services – containerize models with Docker and serve them via FastAPI on AWS – ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference. - CI/CD Automation: Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery. - Model Lifecycle Management: Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory - Monitoring & Optimization: Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time. - Must To Have Skills: Proficiency in Machine Learning Operations. - Strong understanding of cloud-based AI services and deployment strategies. - Should have Multi Cloud skills - Experience with Machine learning frameworks - Ability to implement and optimize machine learning models for production environments. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning Operations. - This position is based at our Bengaluru office. - A 15 years full time education is required.

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Thermo Fisher Scientific Inc. is the world leader in serving science, with an annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving sophisticated analytical challenges, growing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our distributed team of more than 130,000 colleagues delivers an unrivalled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD. For more information, please visit www.thermofisher.com. About The Role We are seeking a versatile and highly skilled Software Development Test Engineer with 2–5 years of hands-on experience across DevOps, Github, Docker, Helm, K8, Scripting. This is a great opportunity to work on innovative systems involving AI/ML model serving (e.g., NVIDIA Triton), high-performance computing, and distributed services. You will be responsible for testing, and maintaining robust software solutions that work with hardware, cloud infrastructure, and services running at scale. Key Responsibilities Design, develop and maintain test environment for AI Deployment solutions. Integrate and optimize model inference using NVIDIA Triton running Inference Server. Work closely with hardware systems like Nvidia Orin/Jetson running using Linux to diagnose, fix, and optimize hardware-software interactions. Collaborate with multi-functional teams to define system architecture and deliver end-to-end solutions. Write clean, maintainable, and well-tested code following standard methodologies. Continuously supervise and improve system performance, reliability, and scalability. Required Skills And Qualifications 2–5 years of experience in DevOps, GitHub, Docker, Helm, K8, scripting. Experience in test automation, TDD/BDD and manual testing. ISTQB certification will be a plus. Experience developing and deploying microservices, particularly with gRPC. Solid understanding of CI/CD pipelines and DevOps standard methodologies. Comfortable working in Linux-based environments and interfacing with hardware components. Strong debugging, performance tuning, and hardware solving skills.

Responsibilities: Build multi-agent systems capable of reasoning, tool use, and autonomous action Implement Model Context Protocol (MCP) strategies to manage complex, multi-source context Integrate third-party APIs (e.g., Crunchbase, PitchBook, CB Insights), scraping APIs, and data aggregators Develop browser-based agents enhanced with computer vision for dynamic research, scraping, and web interaction Optimize inference pipelines, task planning, and system performance Collaborate on architecture, prototyping, and iterative development Experiment with prompt chaining, tool calling, embeddings, and vector search Requirements 5+ years of experience in software engineering or AI/ML development Strong Python skills and experience with LangChain, LlamaIndex, or agentic frameworks Proven experience with multi-agent systems, tool calling, or task planning agents Familiarity with Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and multi-modal context handling Experience with browser automation frameworks (e.g., Playwright, Puppeteer, Selenium) Cloud deployment and systems engineering experience (GCP, AWS, etc.) Self-starter attitude with strong product sense and iteration speed Bonus Points Experience with AutoGen, CrewAI, OpenAgents, or ReAct-style frameworks Background in building AI systems that blend structured and unstructured data Experience working in a fast-paced startup environment Previous startup or technical founding team experience

Summary At Novartis, we are reimagining medicine by harnessing the power of data and AI. As a Senior Architect – AI Products supporting our Commercial function, you will drive the architectural strategy that enables seamless integration of data and AI products across omnichannel engagement, customer analytics, field operations, and real-world insights. You will work across commercial business domains, data platforms, and AI product teams to design scalable, interoperable, and compliant solutions that maximize the impact of data and advanced analytics on how we engage with healthcare professionals and patients. About The Role Position Title: Assoc. Dir. DDIT US&I AI Architect (Commercial) Location – Hyd-India Hybrid About The Role At Novartis, we are reimagining medicine by harnessing the power of data and AI. As a Senior Architect – AI Products supporting our Commercial function, you will drive the architectural strategy that enables seamless integration of data and AI products across omnichannel engagement, customer analytics, field operations, and real-world insights. You will work across commercial business domains, data platforms, and AI product teams to design scalable, interoperable, and compliant solutions that maximize the impact of data and advanced analytics on how we engage with healthcare professionals and patients. Your Responsibilities Include But Are Not Limited To: Commercial Architecture Strategy: Define and drive the reference architecture for commercial data and AI products, ensuring alignment with enterprise standards and business priorities. Cross-Product Integration: Architect how data products (e.g., HCP 360, engagement data platforms, real-world data assets) connect with AI products (e.g., field force recommendations, predictive models, generative AI copilots) and downstream tools. Modular, Scalable Design: Ensure architecture promotes reuse, scalability, and interoperability across multiple markets, brands, and data domains within the commercial landscape. Stakeholder Alignment: Partner with commercial product managers, data science teams, platform engineering, and global/local stakeholders to guide solution design, delivery, and lifecycle evolution. Data & AI Lifecycle Enablement: Support the full lifecycle of data and AI—from ingestion and transformation to model training, inference, and monitoring—within compliant and secure environments. Governance & Compliance: Ensure architecture aligns with GxP, data privacy, and commercial compliance requirements (e.g., consent management, data traceability). Innovation & Optimization: Recommend architectural improvements, modern technologies, and integration patterns to support personalization, omnichannel engagement, segmentation, targeting, and performance analytics. What You’ll Bring To The Role: Proven ability to lead cross-functional architecture efforts across business, data, and technology teams. Good understanding of security, compliance, and privacy regulations in a commercial pharma setting. Experience with pharmaceutical commercial ecosystems and data (e.g., IQVIA, Veeva, Symphony). Familiarity with customer data platforms (CDPs), identity resolution, and marketing automation tools. Desirable Requirements: Bachelor's or master’s degree in computer science, Engineering, Data Science, or a related field. 10+ years of experience in enterprise or solution architecture, with significant experience in commercial functions (preferably in pharma or life sciences). Strong background in data platforms, pipelines, and governance (e.g., Snowflake, Databricks, CDP, Salesforce integration). Hands-on experience integrating solutions across Martech, CRM, and omnichannel systems. Strong knowledge of AI/ML architectures, particularly those supporting commercial use cases (recommendation engines, predictive analytics, NLP, LLMs). Exposure to GenAI applications in commercial (e.g., content generation, intelligent assistants). Understanding of global-to-local deployment patterns and data sharing requirements Commitment To Diversity & Inclusion: Novartis embraces diversity, equal opportunity, and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Product at Innovaccer Our product team is a collaborative group of talented professionals who transform ideas into real-life solutions. They guide the creation, development, and launch of new products, ensuring alignment with our overall business strategy. Additionally, we are leveraging AI across all our solutions, revolutionizing healthcare and shaping the future to make a meaningful impact on the world.You'll have the opportunity to build the foundation for intelligence in healthcare, shaping how LLMs and AI agents power clinical decision-making, operations, and patient engagement — safely, responsibly, and at scale.Join a team that values speed, openness, and ownership — and be part of the company that's changing healthcare through data and AI. About The Role We are looking for a visionary Director of Product Management-AI Platform to define, shape, and drive the strategy for Innovaccer's AI Platform-a foundational layer that will power intelligent applications,LLM-based agents, and precision workflows across the healthcare ecosystem.You will lead the development of modular infrastructure and frameworks that enable safe,scalable, and context-aware AI-including SLMs, LLMs, and autonomous agents. Your leadership will guide how we abstract complexity, orchestrate models,and ensure responsible deployment across real-world clinical and operational settings.You'll sit at the intersection of data, ML, engineering, and healthcare delivery-translating cutting-edge AI into actionable, productized value. A Day in the Life Own the Vision Define and communicate the long-term product vision and roadmap for the AI Platform Align product strategy with Innovaccer's AI-first approach and broader business goals Drive clarity around the role of LLMs, agent frameworks, and contextual AI within Innovaccer's platform ecosystem Build the Foundation Architect and deliver core platform capabilities such as: Model Context Protocol layers for injecting structured healthcare data into AI workflows Agent frameworks with planning, memory, and tools integration Evaluation pipelines for safety, fairness, and domain alignment Model orchestration, fine-tuning, and inference APIs Lead cross-functional delivery with engineering, MLOps, and design teams to bring products from concept to scale Lead in the AI Community Represent Innovaccer in industry conversations on LLMs, RAG, agent safety, and applied healthcare AI Stay ahead of advancements in GenAI, healthcare-specific LLMs, multimodal models, and regulatory AI frameworks (e.g., HIPAA, FDA, EU AI Act) Champion responsible AI and standardization efforts through internal policy and external partnership Enable Internal & External Builders Deliver reusable toolkits, SDKs, and APIs to enable internal teams and customers to build healthcare-native AI products Partner with clinical informatics, data science, and platform engineering to ensure contextual accuracy and safety & collaborate with customer-facing teams to drive adoption and value realization What You Need 14+ years of product management experience, with 5+ years in AI/ML platform or data infrastructure products Proven experience building and scaling platforms for LLMs, SLMs, AI agents, or multi-modal AI applications Deep understanding of Agent architectures and orchestration,Retrieval-augmented generation (RAG),Vector stores, embeddings, prompt engineering,Model governance and evaluation Hands-on familiarity with platforms like LangChain, Hugging Face, Pinecone, Weaviate, MLflow, and cloud AI stacks (AWS, GCP, Azure) Ability to communicate complex concepts to both technical and business audiences Experience working with healthcare data (FHIR, HL7, CCD, EHRs, claims, etc.) Knowledge of AI safety, explainability, and compliance in regulated environments Published thought leadership or contributions to AI communities, open-source, or technical working groups We offer competitive benefits to set you up for success in and outside of work. Here's What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where And How We Work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team.Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure— extending the human touch in healthcare. For more information, visit www.innovaccer.com. Check us out on YouTube , Glassdoor , LinkedIn , Instagram , and the Web .

Senior Gen AI Engineer Job Description Brightly Software is seeking an experienced candidate to join our Product team in the role of Gen AI engineer to drive best in class client-facing AI features by creating and delivering insights that advise client decisions tomorrow. As a Gen AI Engineer, you will play a critical role in building AI offerings for Brightly. You will partner with our various software Product teams to drive client facing insights to inform smarter decisions faster. This will include the following: Lead the evaluation and selection of foundation models and vector databases based on performance and business needs Design and implement applications powered by generative AI (e.g., LLMs, diffusion models), delivering contextual and actionable insights for clients. Establish best practices and documentation for prompt engineering, model fine-tuning, and evaluation to support cross-domain generative AI use cases. Build, test, and deploy generative AI applications using standard tools and frameworks for model inference, embeddings, vector stores, and orchestration pipelines. Key Responsibilities: Guide the design of multi-step RAG, agentic, or tool-augmented workflows Implement governance, safety layers, and responsible AI practices (e.g., guardrails, moderation, auditability) Mentor junior engineers and review GenAI design and implementation plans Drive experimentation, benchmarking, and continuous improvement of GenAI capabilities Collaborate with leadership to align GenAI initiatives with product and business strategy Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector stores like Pinecone, FAISS, or AWS Opensearch Perform exploratory data analysis (EDA), data cleaning, and feature engineering to prepare data for model building. Design, develop, train, and evaluate machine learning models (e.g., classification, regression, clustering, natural language processing) with strong exerience in predictive and stastical modelling. Implement and deploy machine learning models into production using AWS services, with a strong focus on Amazon SageMaker (e.g., SageMaker Studio, training jobs, inference endpoints, SageMaker Pipelines). Understanding and development of state management workflows using Langraph. Develop GenAI applications using Hugging Face Transformers, LangChain, and Llama related frameworks Engineer and evaluate prompts, including prompt chaining and output quality assessment Apply NLP and transformer model expertise to solve language tasks Deploy GenAI models to cloud platforms (preferably AWS) using Docker and Kubernetes Monitor and optimize model and pipeline performance for scalability and efficiency Communicate techn

Gen AI Engineer Job Description Brightly Software is seeking a high performer to join our Product team in the role of Gen AI engineer to drive best in class client-facing AI features by creating and delivering insights that advise client decisions tomorrow. As a Gen AI Engineer, you will play a critical role in building AI offerings for Brightly. You will partner with our various software Product teams to drive client facing insights to inform smarter decisions faster. This will include the following: Design and implement applications powered by generative AI (e.g., LLMs, diffusion models), delivering contextual and actionable insights for clients. Establish best practices and documentation for prompt engineering, model fine-tuning, and evaluation to support cross-domain generative AI use cases. Build, test, and deploy generative AI applications using standard tools and frameworks for model inference, embeddings, vector stores, and orchestration pipelines. Key Responsibilities: Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector stores like Pinecone, FAISS, or AWS OpenSearch Develop GenAI applications using Hugging Face Transformers, LangChain, and Llama related frameworks Perform exploratory data analysis (EDA), data cleaning, and feature engineering to prepare data for model building. Design, develop, train, and evaluate machine learning models (e.g., classification, regression, clustering, natural language processing) with strong exerience in predictive and stastical modelling. Implement and deploy machine learning models into production using AWS services, with a strong focus on Amazon SageMaker (e.g., SageMaker Studio, training jobs, inference endpoints, SageMaker Pipelines). Understanding and development of state management workflows using Langraph. Engineer and evaluate prompts, including prompt chaining and output quality assessment Apply NLP and transformer model expertise to solve language tasks Deploy GenAI models to cloud platforms (preferably AWS) using Docker and Kubernetes Monitor and optimize model and pipeline performance for scalability and efficiency Communicate technical concepts clearly to cross-functional and non-technical stakeholders Thrive in a fast-paced, lean environment and contribute to scalable GenAI system design Qualifications Bachelor’s degree is required 2-4 years of experience of total experience with a strong focus on AI and ML and 1+ years in core GenAI Engineering Demonstrated expertise in working with large language models (LLMs) and generative AI systems, including both text-based and multimodal models. Strong programming skills in Python, including proficiency with data science libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and/or PyTorch. Familiarity with MLOps principles and tools for automating and streamlining the ML lifecycle. Experience working with agentic AI. Capable of building Retrieval-Augmented Generation (RAG) pipelines leveraging vector stores like Pinecone, Chroma, or FAISS. Strong programming skills in Python, with experience using leading AI/ML libraries such as Hugging Face Transformers and LangChain. Practical experience in working with vector databases and embedding methodologies for efficient information retrieval. Possess experience in developing and exposing API endpoints for accessing AI model capabilities using frameworks like FastAPI. Knowledgeable in prompt engineering techniques, including prompt chaining and performance evaluation strategies. Solid grasp of natural language processing (NLP) fundamentals and transformer-based model architectures. Experience in deploying machine learning models to cloud platforms (preferably AWS) and containerized environments using Docker or Kubernetes. Skilled in fine-tuning and assessing open-source models using methods such as LoRA, PEFT, and supervised training. Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders. Able to operate successfully in a lean, fast-paced organization, and to create a vision and organization that can scale quickly Senior Gen AI Engineer

Experience : 2.00 + years Salary : INR 3000000.00 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Yugen AI) (*Note: This is a requirement for one of Uplers' client - Yugen AI) What do you need for this opportunity? Must have skills required: GRPO, high-availability, Trl, Generative AI, LLM, Kubernetes, Machine Learning, Python Yugen AI is Looking for: We are looking for a talented LLMOps Engineer to design, deploy, and operationalise agentic solutions for fraud investigations. This is critical to reducing fraud investigations TAT (turn-around time) by more than 70%. In this role, you will work directly with our CTO, Soumanta Das , as well as a team of 5 engineers (Backend Engineers, Data Engineers, Platform Engineers). Responsibilities Deploy and scale LLM inference workloads on Kubernetes (K8s) with 99.9% uptime. Build agentic tools and services for fraud investigations with complex reasoning capabilities. Work with Platform Engineers to set up monitoring and observability (e.g., Prometheus, Grafana) to track model performance and system health. Fine-tune open-source LLMs using TRL or similar libraries. Use Terraform for infrastructure-as-code to support scalable ML deployments. Contribute to Tech blogs, especially technical deep dives of the latest research in the field of reasoning. Requirements Strong programming skills (Python, etc.) and problem-solving abilities. Hands-on experience with open-source LLM inference and serving frameworks such as vLLM. Deep expertise in Kubernetes (K8s) for orchestrating LLM workloads. Some familiarity with fine-tuning and deploying open-source LLMs using GRPO, TRL, or similar frameworks. Deep expertise in Kubernetes (K8s) for orchestrating LLM workloads. Familiarity with/Knowledge of high-availability systems. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

What You’ll Do ● Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills ● Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. ● Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. ● Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. ● Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput ● Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it ● Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need ● 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) ● Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. ● 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines ● Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. ● Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. ● Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. ● Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. ● Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). ● Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. ● A customer-centric approach — you think about how your work affects end users and product experience, not just model performance ● A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed ● The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket

Experience : 2.00 + years Salary : INR 3000000.00 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Yugen AI) (*Note: This is a requirement for one of Uplers' client - Yugen AI) What do you need for this opportunity? Must have skills required: GRPO, high-availability, Trl, Generative AI, LLM, Kubernetes, Machine Learning, Python Yugen AI is Looking for: We are looking for a talented LLMOps Engineer to design, deploy, and operationalise agentic solutions for fraud investigations. This is critical to reducing fraud investigations TAT (turn-around time) by more than 70%. In this role, you will work directly with our CTO, Soumanta Das , as well as a team of 5 engineers (Backend Engineers, Data Engineers, Platform Engineers). Responsibilities Deploy and scale LLM inference workloads on Kubernetes (K8s) with 99.9% uptime. Build agentic tools and services for fraud investigations with complex reasoning capabilities. Work with Platform Engineers to set up monitoring and observability (e.g., Prometheus, Grafana) to track model performance and system health. Fine-tune open-source LLMs using TRL or similar libraries. Use Terraform for infrastructure-as-code to support scalable ML deployments. Contribute to Tech blogs, especially technical deep dives of the latest research in the field of reasoning. Requirements Strong programming skills (Python, etc.) and problem-solving abilities. Hands-on experience with open-source LLM inference and serving frameworks such as vLLM. Deep expertise in Kubernetes (K8s) for orchestrating LLM workloads. Some familiarity with fine-tuning and deploying open-source LLMs using GRPO, TRL, or similar frameworks. Deep expertise in Kubernetes (K8s) for orchestrating LLM workloads. Familiarity with/Knowledge of high-availability systems. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Role Overview: As a Python Developer Intern at Arcitech AI, you will play a crucial role in our advancements in software development, AI, and integrative solutions. This entry-level position offers the opportunity to work on cutting-edge projects and contribute to the growth of the company. You will be challenged to develop Python applications, collaborate with a dynamic team, and optimize code performance, all while gaining valuable experience in the industry. Responsibilities Assist in designing, developing, and maintaining Python applications focused on backend and AI/ML components under senior engineer guidance. Help build and consume RESTful or GraphQL APIs integrating AI models and backend services, following established best practices. Containerize microservices (including AI workloads) using Docker and support Kubernetes deployment and management tasks. Implement and monitor background jobs with Celery (e.g., data processing, model training/inference), including retries and basic alerting. Integrate third-party services and AI tools via webhooks and APIs (e.g., Stripe, Razorpay, external AI providers) in collaboration with the team. Set up simple WebSocket consumers using Django Channels for real-time AI-driven and backend features. Aid in configuring AWS cloud infrastructure (EC2, S3, RDS) as code, assist with backups, monitoring via CloudWatch, and support AI workload deployments. Write unit and integration tests using pytest or unittest to maintain ≥ 80% coverage across backend and AI codebases. Follow Git branching strategies and contribute to CI/CD pipeline maintenance and automation for backend and AI services. Participate actively in daily tech talks, knowledge-sharing sessions, code reviews, and team collaboration focused on backend and AI development. Assist with implementing AI agent workflows and document retrieval pipelines using LangChain and LlamaIndex (GPT Index) frameworks. Maintain clear and up-to-date documentation of code, experiments, and processes. Participate in Agile practices including sprint planning, stand-ups, and retrospectives. Demonstrate basic debugging and troubleshooting skills using Python tools and log analysis. Handle simple data manipulation tasks involving CSV, JSON, or similar formats. Follow secure coding best practices and be mindful of data privacy and compliance. Exhibit strong communication skills, a proactive learning mindset, and openness to feedback. Required Qualifications Currently pursuing a Bachelor’s degree in Computer Science, Engineering, Data Science, or related scientific fields. Solid foundation in Python programming with familiarity in common libraries (NumPy, pandas, etc.). Basic understanding of RESTful/GraphQL API design and consumption. Exposure to Docker and at least one cloud platform (AWS preferred). Experience or willingness to learn test-driven development using pytest or unittest. Comfortable with Git workflows and CI/CD tools. Strong problem-solving aptitude and effective communication skills. Preferred (But Not Required) Hands-on experience or coursework with AI/ML frameworks such as TensorFlow, PyTorch, or Keras. Prior exposure to Django web framework and real-time WebSocket development (Django Channels). Familiarity with LangChain and LlamaIndex (GPT Index) for building AI agents and retrieval-augmented generation workflows. Understanding of machine learning fundamentals (neural networks, computer vision, NLP). Background in data analysis, statistics, or applied mathematics.

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Data Scientist Associate Senior within the Asset and Wealth Management team at JPMorgan Chase, you will play a key role as an experienced member of our Data Science Team. You are responsible for addressing business problems through data analysis, developing models, and deploying these models to production environments on AWS or Azure. Job Responsibilities Collaborate with all of JPMorgan’s lines of business and functions to delivery software solutions. Develop and experiment high quality machine learning models, services and platforms to make huge technology and business impact. Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 3+ years applied experience BE/B.Tech, ME/MS or PhD degree in Computer Science, Statistics, Mathematics or Machine learning related field. Solid programming skills with Python Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Experience in using GenAI (OpenAI or other models ) to solve business problem. Knowledge of machine learning frameworks: Tensorflow and Pytorch Experience in training/ inference/ML ops on public cloud (AWS/GCP/Azure) Strong analytical and critical thinking skills. Preferred Qualifications, Capabilities, And Skills Knowledge of Asset and Wealth management business is added advantage . ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Company Description Stockwell Solar Services Pvt Ltd (SSSPL), founded by IITians in 2017, specialises in Solar and BESS OPEX/RESCO and CAPEX models. We currently operate or are constructing over 100 MW of solar assets across 300+ sites, with 600 MW of projects under execution, showcasing our commitment to sustainable energy. Join us to lead the transition to clean energy. Role Description This is an on-site, full-time role for a Strategic Role-CEO's Office at Stockwell Solar Services Pvt Ltd, located in Jaipur. The role involves coordinating with various departments, preparing reports, and supporting strategic initiatives led by the CEO. Role : - Assist & coordinate the strategy planning exercise. - To monitor tasks delegated by the CEO to ensure that the task is achieved by the agreed deadlines. - Coordinating cross-functional teams to ensure project deliverables. - External & Internal interface on behalf of the CEO. - Helping in business presentations & tie up with internal & external stakeholders. - Business data analysis. - Assist the CEO with inputs and data required for making strategic decisions. Qualifications -The ideal candidate should have abilities in business acumen, strategy formulation and P&L understanding; data comprehension & inference development; project management & team working. -Experience in the Solar/Power Industry is a Plus.

About The Role Gartner is looking for passionate and motivated Lead Data Engineers who are excited to foray into new technologies and help build / maintain data driven components for realizing business needs. This role is in Gartner Product Delivery Organization (PDO). PDO Data Engineering teams are high velocity agile teams responsible for developing and maintaining components crucial to customer-facing channels, data science teams, and reporting & analysis. These components include but are not limited to Spark jobs, REST APIs, AI/ML model training & inference, MLOps / devops pipelines, data transformation & quality pipelines, data lake & data catalogs, data streams etc. What You Will Do Ability to lead and execute a mix of small/medium sized projects simultaneously Owns success, takes responsibility for successful delivery of solutions from development to production. Mentor and guide team members Explore and create POC of new technologies / frameworks Should have significant experience working directly with Business users in problem solving Excellent Communication and Prioritization skills. Should be able to interact and coordinate well with other developers / teams to resolve operational issues. Should be self-motivated and a fast learner to ramp up quickly with a fair amount of help from team members. Must be able to estimate development tasks with high accuracy and deliver on time with high quality while following coding guidelines and best practices. Identify systemic operational issues and resolve them. What you will need 6+ years of post-college experience in data engineering, API development or related fields Must have Demonstrated experience in data engineering, data science, or machine learning. Experience working with data platforms – building and maintaining ETL flows and data stores for ML and reporting applications. Skills to transform data, prepare it for analysis, and analyze it – including structured and unstructured data Ability to transform business needs into technical solutions Demonstrated experience of cloud platforms (AWS, Azure, GCP, etc.) Experience with languages such as Python, Java, SQL Experience with tools such as Apache Spark, Databricks, AWS EMR Experience with Kanban or Agile Scrum development Experience with REST API development Experience collaboration tools such as Git, Jenkins, Jira, Confluence Experience with Data modeling and Database schema / table design Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work . What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com . 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