13,568 Junior AI Engineer jobs in India

Lyric, formerly ClaimsXten, is a leading healthcare technology company, committed to simplifying the business of care. Over 30 years of experience, dedicated teams, and top technology help deliver more than $14 billion of annual savings to our many loyal and valued customers-including 9 of the top 10 payers across the country. Lyric's solutions leverage the power of machine learning, AI, and predictive analytics to empower health plan payers with pathways to increased accuracy and efficiency, while maximizing value and savings. Lyric's strong relationships as a trusted ally to customers resulted in recognition from KLAS as "true partner" and "excellent value for investment," with a top score for overall customer satisfaction and A+ likelihood to recommend in their October 2023 Payment Integrity and Accuracy Report. Discover more at Lyric.ai .
The AI Engineer is an ML engineer who is responsible for building and optimizing machine learning models, retrieval-augmented generation (RAG) systems, and verifiable ML systems that transform how we search and analyze complex medical and insurance data. This role requires a deep understanding of machine learning, LLM technologies, data science, and software engineering. This is an ML-engineering role and **not a data science role** , which means you should be comfortable building production-ready systems. This is **not a research** role.
This is a Hybrid role in the HYD office, 3 days a week.
**Job Responsibilities:**
+ Data engineering: Design and optimize systems capable of processing large volumes of data in both batch and real-time.
+ Design, implement, and optimize retrieval-augmented generation (RAG) systems that leverage the latest LLM technologies to deliver highly relevant search results at scale.
+ Develop and refine embedding models, vector databases, and retrieval mechanisms that maximize search relevance while minimizing latency and operational costs.
+ Create robust evaluation frameworks to measure quality, continuously improve our LLM-based solution based on user feedback and performance metrics.
+ Build and optimize machine learning models and verifiable ML systems that transform how we search and analyze complex medical and insurance data.
+ Build and optimize production-ready systems that are scalable and can handle large amounts of data.
+ Build and optimize agentic systems that can reason and make decisions.
+ Develop machine learning models in healthcare and insurance settings with the highest standards for safety and quality.
+ Stay on top of AI and ML security and governance requirements.
**Basic Requirements:**
+ BS in Computer Science (concentration on machine learning/AI), Engineering, Statistics, or a related field
+ At least three (3) years of industry experience and specifically with some of the recent Gen AI technologies.
+ Experience with containerization, Kubernetes, and cloud-native ML technologies such as Kubeflow.
+ Experience with CI/CD pipelines and automated testing.
+ High level of proficiency with Python and several ML frameworks.
**Preferred Requirements:**
+ Experience with medical coding and clinical policy analysis. Exposure to USA healthcare insurance will be an advantage.
+ Strong understanding of clinical coding standards (e.g., ICD-10, CPT, HCPCS) is an advantage.

**Introduction**
IBM's MAS is a unified asset-management solution built on Maximo Manage v8+, integrating AI, IoT, predictive analytics, and mobile-first tools under one suite. It supports hybrid cloud deployment via IBM Cloud Pak on Kubernetes/OpenShift, offering microservices, orchestration, and enterprise-grade observability.
**Your role and responsibilities**
Lead the implementation, configuration, and optimization of the IBM Maximo Application Suite (MAS)-including core, Manage, Mobile, Monitor, Predict, Health, and Assist modules-on enterprise-grade platforms such as Red Hat OpenShift/Kubernetes, IBM Cloud Pak, or equivalent. Provide end-to-end delivery: planning, deployment, integration, support, and documentation.
* Installation & Configuration: Deploy and configure MAS components for on-premise or cloud-native environments.
* Platform Management: Set up MAS on Red Hat OpenShift/Kubernetes infrastructure.
* Integration & Authentication: Integrate MAS with LDAP/SSO, ERP systems, and IoT feeds.
* DevOps & CI/CD: Maintain lifecycle using DevOps tools like Jenkins and GitOps.
* Monitoring & Performance: Implement observability tools such as Prometheus and Grafana.
* Support & Troubleshooting: Provide support and documentation, manage upgrades and recovery.
* Collaboration & Delivery: Coordinate with cross-functional teams for successful MAS platform delivery
**Required technical and professional expertise**
* 2+ years implementing MAS (v8.x) in containerized/cloud-native environments.
* Expertise with OpenShift/Kubernetes, RHEL, and scripting (bash, Python).
* Experience with Db2/Oracle and enterprise backup/recovery processes.
* Integration knowledge using MAS APIs and Maximo Interaction Framework.
* Understanding of IBM Cloud Pak and CI/CD workflows.
* Familiarity with mobile frameworks, BIRT/Cognos, Java/REST.
**Preferred technical and professional experience**
* IBM Certified Administrator - Maximo Manage/MAS 8.x
* Red Hat or OpenShift certification
* Experience with IBM Cloud Pak and MAS AI modules
* IoT analytics and AI/ML knowledge in MAS context
* Bachelor's degree in computer science, IT, or related field
* 4+ years in IT with 3+ years delivering MAS (core & platform-centric roles)
* Proven experience in full software lifecycle and enterprise-level problem resolution
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction**
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
**Your role and responsibilities**
The AI Engineer is responsible for driving IBM sales execution by ensuring pilot platforms are engineered to deliver customer technical and business outcomes and improve deployment of Client Engineering pilots. They work closely with other Client Engineering roles to deploy the foundation for comprehensive pilot solutions. Platform Engineers are experts at deploying solutions across Hybrid Cloud. You are accountable for. Technical Expertise
- Provide deep technical expertise in their area of focus
- Align with industry standards with deep understanding across deployment automation techniques and technology
- Possess a deep understanding of the Hybrid Cloud platforms (especially OpenShift platform, the hypervisorscloud providers on which it runs, and managed offerings: ROKS, ROSA & ARO)
- Demonstrate deep knowledge for deployment of watsonx and other IBM strategic software across the Hybrid Cloud using DevOps / MLOps practices
* Drive IBM sales execution by engineering pilot platforms to deliver customer technical and business outcomes.
* Improve deployment processes of Client Engineering pilots.
* Collaborate with Client Engineering teams to build foundations for comprehensive pilot solutions.
* Serve as Hybrid Cloud deployment experts.
* Provide deep technical expertise within their domain.
* Align with industry standards using advanced deployment automation techniques and technologies.
* Possess extensive knowledge of Hybrid Cloud platforms, especially:
* OpenShift
* Underlying hypervisors and cloud providers
* Managed offerings like ROKS, ROSA, and ARO
* Deploy watsonx and other IBM strategic software across Hybrid Cloud using DevOps/MLOps practices.
* Co-create solutions with clients and build strong relationships during pilot delivery.
* Effectively communicate and promote Hybrid Cloud adoption.
* Use modern methodologies and technologies:
* Cloud-native frameworks
* Site Reliability Engineering (SRE)
* DevOps, GitOps, MLOps
* Develop reference cases based on successful implementations.
* Apply domain knowledge to leverage IBM best practices and points of view.
* Provide platform expertise for bespoke solutions using IBM brands.
* Share successes and learnings across Client Engineering and technical sales teams.
* Document and share key assets for reuse by broader teams.
**Required technical and professional expertise**
* Deploy containerized applications, especially on Kubernetes.
* Troubleshoot deployments and guide clients on best practices. * Understand and advise on Public Cloud offerings related to:
* Compute, networking, storage, security * Provide architectural guidance for Hybrid Cloud (on-prem and public cloud). * Recommend best practices for:
* DevOps, GitOps, MLOps
* Platform automation tools * Proficient in deployment/configuration management tools:
* Terraform, Ansible, ARM templates * Hands-on experience with Infrastructure as Code (IaC).
**Preferred technical and professional experience**
NA
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction**
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
**Your role and responsibilities**
The AI Engineer is responsible for driving IBM sales execution by ensuring pilot platforms are engineered to deliver customer technical and business outcomes and improve deployment of Client Engineering pilots. They work closely with other Client Engineering roles to deploy the foundation for comprehensive pilot solutions. Platform Engineers are experts at deploying solutions across Hybrid Cloud. You are accountable for Technical Expertise
* Provide deep technical expertise in their area of focus
* Align with industry standards with deep understanding across deployment automation techniques and technology
* Possess a deep understanding of the Hybrid Cloud platforms (especially OpenShift platform, the hypervisors cloud providers on which it runs, and managed offerings: ROKS, ROSA & ARO)
* Demonstrate deep knowledge for deployment of WatsonX and other IBM strategic software across the Hybrid Cloud using DevOps / MLOps practices
* Drive IBM sales execution by engineering pilot platforms to deliver customer technical and business outcomes
* Improve deployment processes of Client Engineering pilots.
* Collaborate with Client Engineering teams to build foundations for comprehensive pilot solutions.
* Serve as Hybrid Cloud deployment experts. * Provide deep technical expertise within their domain
* Align with industry standards using advanced deployment automation techniques and technologies. * Possess extensive knowledge of Hybrid Cloud platforms, especially:
* OpenShift
* Underlying hypervisors and cloud providers
* Managed offerings like ROKS, ROSA, and ARO * Deploy watsonx and other IBM strategic software across Hybrid Cloud using DevOps/MLOps practices
* Co-create solutions with clients and build strong relationships during pilot delivery
* Effectively communicate and promote Hybrid Cloud adoption. * Use modern methodologies and technologies:
* Cloud-native frameworks
* Site Reliability Engineering (SRE)
* DevOps, GitOps, MLOps * Develop reference cases based on successful implementations. * Apply domain knowledge to leverage IBM best practices and points of view.
* Provide platform expertise for bespoke solutions using IBM brands.
* Share successes and learnings across Client Engineering and technical sales teams.
* Document and share key assets for reuse by broader teams.
**Required technical and professional expertise**
* Deploy containerized applications, especially on Kubernetes.
* Troubleshoot deployments and guide clients on best practices.
* Understand and advise on Public Cloud offerings related to:
* Compute, networking, storage, security
* Provide architectural guidance for Hybrid Cloud (on-prem and public cloud).
* Recommend best practices for:
* DevOps, GitOps, MLOps
* Platform automation tools
* * Proficient in deployment/configuration management tools:
* Terraform, Ansible, ARM templates
* * Hands-on experience with Infrastructure as Code (IaC).
**Preferred technical and professional experience**
NA
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction**
The IBM Automation team is seeking a passionate and talented AI Engineer to push the boundaries of artificial intelligence. You will design, implement, and deploy advanced AI and autonomous agent solutions that enhance our cloud offerings, enabling smarter automation and significantly improving customer productivity.
Collaborating closely with cross-functional teams, you will transform complex AI concepts into practical, real-world applications that deliver measurable value.
**Your role and responsibilities**
* Design, develop, implement AI and Generative AI solutions to address business problems and achieve objectives.
* Gather, clean, and prepare large datasets to ensure readiness for AI model training
* Train, fine-tune, evaluate, and optimize AI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability.
* Seamlessly integrate AI models and autonomous agent solutions into cloud-based & on-prem products to drive smarter workflows and improved productivity.
* Develop reusable tools, libraries, and components that standardize and accelerate the development of AI solutions across the organization.
* Monitor and maintain deployed models, ensuring consistent performance and reliability in production environments
* Stay up to date with the latest AI/ML advancements, exploring new technologies, algorithms, and methodologies to enhance product capabilities.
* Effectively communicate technical concepts, research findings, and AI solution strategies to both technical and non-technical stakeholders.
* Understand the IBM tool and model landscape and work closely with cross-functional teams to leverage these tools, driving innovation and alignment.
* Lead and mentor team members to improve performance.
* Collaborate with operations, architects, and product teams to resolve issues and define product designs.
* Exercise best practices in agile development and software engineering. Code, unit test, debug and perform integration tests of software components
* Participate in software design reviews, code reviews and project planning.
* Write and review documentation and technical blog posts.
* Contribute to department attainment of organizational objectives and high customer satisfaction
**Required technical and professional expertise**
* Minimum 6 years of hands-on experience developing AI-based applications using Python.
* 2+ years in Performance testing, Reliability testing
* 2+ years of experience using deep learning frameworks (TensorFlow, PyTorch, or Keras)
* Solid understanding of ML/AI concepts: EDA, preprocessing, algorithm selection, machine learning frameworks, model efficiency metrics, model monitoring.
* Familiarity with Natural Language Processing (NLP) techniques.
* Deep understanding of Large Language Models (LLM) Architectures, their capabilities and limitations.
* Proven expertise in integrating and working with LLMs to build robust AI solutions.
* Skilled in crafting effective prompts to guide LLMs to provide desired outputs.
* Hands-on experience with LLM frameworks such as Langchain,Langraph,CrewAI etc.,
* Experience in LLM application development based on Retrieval-Augmented Generation (RAG) concept, familiarity with vector databases, and fine-tuning large language models (LLMs) to enhance performance and accuracy.
* Proficient in microservices development using Python (Django/Flask or similar technologies).
* Experience in Agile development methodologies
* Familiarity with platforms like Kubernetes and experience building on top of the native platforms
* Experience with cloud-based data platforms and services (e.g., IBM, AWS, Azure, Google Cloud).
* Experience designing, building, and maintaining data processing systems working in containerized environments (Docker, OpenShift, k8s)
* Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders
**Preferred technical and professional experience**
* Experience in MLOPs frameworks (BentoML,Kubeflow or similar technologies) and exposure to LLMOPs
* Experience in cost optimisation initiatives
* Experience with end-to-end chatbot development, including design, deployment, and ongoing optimization, leveraging NLP and integrating with backend systems and APIs.
* Understanding of security and ethical best practices for data and model development
* Contributions to open source projects
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction**
IBM Systems helps IT leaders think differently about their infrastructure. IBM servers and storage are no longer inanimate - they can understand, reason, and learn so our clients can innovate while avoiding IT issues. Our systems power the world's most important industries and our clients are the architects of the future. Join us to help build our leading-edge technology portfolio designed for cognitive business and optimized for cloud computing.
A career in IBM Software means you'll be part of a team that transforms our customer's challenges into solutions.
Seeking new possibilities and always staying curious, we are a team dedicated to creating the world's leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.
We are seeking a skilled back-end developer to join our IBM Software team. As part of our team, you will be responsible for developing and maintaining high-quality software products, working with a variety of technologies and programming languages.
IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.
**Your role and responsibilities**
A hands-on engineering position responsible for designing, automating, and maintaining robust build systems and deployment pipelines for AI/ML components, with direct development responsibilities in C++ and Python. The role supports both model training infrastructure and high-performance inference systems.
* Design and implement robust build automation systems that support large, distributed AI/C++/Python codebases.
* Develop tools and scripts that enable developers and researchers to rapidly iterate, test, and deploy across diverse environments.
* Integrate C++ components with Python-based AI workflows, ensuring compatibility, performance, and maintainability.
* Lead the creation of portable, reproducible development environments, ensuring parity between development and production.
* Maintain and extend CI/CD pipelines for Linux and z/OS, implementing best practices in automated testing, artifact management, and release validation.
* Collaborate with cross-functional teams - including AI researchers, system architects, and mainframe engineers - to align infrastructure with strategic goals.
* Proactively monitor and improve build performance, automation coverage, and system reliability.
* Contribute to internal documentation, process improvements, and knowledge sharing to scale your impact across teams
**Required technical and professional expertise**
* 5+ years of strong programming skills in C++ and Python, with a deep understanding of both compiled and interpreted language paradigms.
* Hands-on experience building and maintaining complex automation pipelines (CI/CD) using tools like Jenkins, or GitLab CI.
* In-depth experience with build tools and systems such as CMake, Make, Meson, or Ninja, including custom script development and cross-compilation.
* Experience working on multi-platform development, specifically on Linux and IBM z/OS environments, including understanding of their respective toolchains and constraints.
* Experience integrating native C++ code with Python, leveraging pybind11, Cython, or similar tools for high-performance interoperability.
* Proven ability to troubleshoot and resolve build-time, runtime, and integration issues in large-scale, multi-component systems.
* Comfortable with shell scripting (Bash, Zsh, etc.) and system-level operations.
* Familiarity with containerization technologies like Docker for development and deployment environments.
**Preferred technical and professional experience**
* Working knowledge of AI/ML frameworks such as PyTorch, TensorFlow, or ONNX, including understanding of how they integrate into production environments.
* Experience developing or maintaining software on IBM z/OS mainframe systems.
* Familiarity with z/OS build and packaging workflows,
* Understanding of system performance tuning, especially in high-throughput compute or I/O environments (e.g., large model training or inference).
* Knowledge of GPU computing and low-level profiling/debugging tools.
* Experience managing long-lifecycle enterprise systems and ensuring compatibility across releases and deployments.
* Background contributing to or maintaining open-source projects in the infrastructure, DevOps, or AI tooling space
* Proficiency in distributed systems, microservice architecture, and REST APIs.
* Experience in collaborating with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment, ensuring seamless integration of AI/ML models into production workflows.
* Strong communication skills with the ability to communicate technical concepts effectively to non-technical stakeholders.
* Demonstrated excellence in interpersonal skills, fostering collaboration across diverse teams.
* Proven track record of ensuring compliance with industry best practices and standards in AI engineering.
* Maintained high standards of code quality, performance, and security in AI projects.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction**
A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe. In this role, you will work for IBM BPO, part of Consulting that, accelerates digital transformation using agile methodologies, process mining, and AI-powered workflows. 
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including IBM Software and Red Hat. 
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be supported by mentors and coaches who will encourage you to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and learning opportunities in an environment that embraces your unique skills and experience.   
**Your role and responsibilities**
We are seeking for a passionate and skilled Python AI Engineer to design, develop and maintain hybrid AI Platform across multi-cloud and on-premises. Build an AI platform that enables real time machine learning and GenAI at scale along with governance and security frameworks. You will collaborate with data engineer, product managers, and software engineers to bring AI-driven products and features to life.
Job description
· Work with frameworks like TensorFlow/PyTorch, Scikit-learn, or similar.
· Design and implement AI/ML models and algorithms using Python3.
· Develop and maintain scalable, production-grade machine learning pipelines.
· Conduct data exploration, preprocessing, feature engineering, and model evaluation.
· Optimize models for performance and scalability in production environments.
· Collaborate with cross-functional teams to integrate AI components into real-world applications.
· Stay up to date with the latest research and industry trends in AI and machine learning.
· Document experiments, code, and processes for reproducibility and transparency.
**Required technical and professional expertise**
* Strong programming skills in Python 3.
* Solid understanding of machine learning fundamentals (classification, regression, clustering, etc.).
* Experience with ML libraries and frameworks (e.g., Scikit-learn, TensorFlow/PyTorch, XGBoost, etc.).
* Experience in NLP related to Semantic models/Search using BERT/ transformer model.
* Experience with Gen AI ecosystem/tools is a plus.
* Experience in data wrangling using Pandas/Polaris, NumPy, SQL, etc.
* Good grasp of software engineering principles (version control, testing, modular code).
**Preferred technical and professional experience**
* Familiarity with REST APIs and deployment practices (Dockerized Container, Flask/FastAPI, etc.).
* Understanding of cloud platforms (AWS, GCP, Azure) is a plus.
* Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively.
* Communication: Strong interpersonal and communication skills, with the ability to work effectively in a collaborative team environment
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

We have an excellent opportunity for AI Engineer
The expectation is to support OL chatbot and other in near future.
Level - SA
Location- PAN India (CHN / HYD / BLR / PUN Preferred)
Work Mode - Hybrid
Job Description:
+ Experience with Azure AI Search, Azure Functions, Azure Web App, Azure OpenAI Services
+ Understanding of Azure Blob Storage, Azure APIM, Azure Defender
+ Experience with MongoDB or Azure Cosmos DB
+ Proficiency in programming language such as Python or C#
+ Certifications - Azure AI Engineer Associate or similar.
+ Have good understanding of RAG Chatbot architecture model and should be able to understand different type of architecture bots in future as needed.
+ The candidate should be comfortable working in night shifts
+ Looking for candidates with hands on experience on following skillset:
+ **Python Skills** : for scripting tasks around document chunking, embedding generation, and orchestration using frameworks like LangChain
+ **Generative AI & RAG Concepts** : experience needed in Retrieval-Augmented Generation, prompt engineering, or LLM fine-tuning workflows.
+ **Embedding & Indexing** : exposure to Azure AI Search, OpenAI Embeddings, or vector similarity search frameworks.
+ **Application Development** : experience in building **Chatbot** interfaces, integrating REST APIs, or deploying AI applications end-to-end.
+ **Azure OpenAI Service:** needed as it is core part of the RAG chatbot architecture.
+ Essential Skillset - Python, Generative AI & RAG Concepts, Embedding & Indexing, and Azure OpenAI Service. These are essential skills.
+ Looking for immediate joiners
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.