15,679 AI Engineer jobs in India

**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.

**AI Engineer: Shape the Future of Autonomous Intelligence**
**About Teradata**
At Teradata, we don't just manage data-we unlock its full potential. Our ClearScape Analytics platform and pioneering Enterprise Vector Store empower the world's largest organizations to extract transformative value from their most complex data. We're at the forefront of innovation in Artificial Intelligence, especially in the dynamic space of autonomous and agentic systems. Ready to learn from industry leaders and make a real impact?
**The Opportunity: Dive into Enterprise Agentic AI**
Are you a curious, motivated individual passionate about the next frontier of AI? Have you developed intelligent systems that can reason, learn, and act autonomously? Join us as an **AI Engineer** and help shape the future of enterprise intelligence using agentic AI.
You'll collaborate with other experienced AI engineers and data scientists on cutting-edge projects that redefine how businesses harness data. This is a hands-on opportunity to apply your expertise and contribute to the development of intelligent agents and agentic AI workflows that drive insights and automate complex engineering flows.
**What You'll Do**
+ **Improve Engineering Efficiency** : Collaborate with a passionate team of engineers to explore diverse engineering processes and identify opportunities to enhance efficiency using agentic AI
+ **Build Agentic Systems** : Contribute to the design, implementation, and testing of components for robust AI agents and multi-agent orchestration.
+ **Leverage Vector Stores** : Work with Teradata's Enterprise Vector Store to develop intelligent retrieval-augmented generation (RAG) pipelines.
+ **Work with Real-World Data** : Gain experience processing large-scale, complex datasets within the Teradata ecosystem.
+ **Research & Prototype** : Engage with the latest research in agentic AI, prompt engineering, and autonomous systems to prototype innovative ideas.
+ **System Integration** : Help integrate LLM-based agents with retrieval tools, structured/unstructured inputs, and downstream Teradata products.
**Who You Are**
+ 2-3 years of experience in developing solutions leveraging LLMs for complex business processes.
+ Hands-on experience in developing and deploying agentic AI systems that automate and optimize manual engineering workflows by leveraging orchestration frameworks, or multi-step reasoning workflows.
+ Holding Master's or Ph.D. in Data Science, Artificial Intelligence, or a related field.
+ Hand-on experience with LLM APIs (e.g., OpenAI, Claude, Gemini) and agent toolkits (e.g., AgentBuilder, AutoGen, LangGraph, CrewAI).
+ Understanding of chain-of-thought reasoning, prompt tuning, or context window management.
+ Knowledge of evaluation metrics for agent performance, latency, and reliability.
+ Hands-on with Python and Cloud automation.
+ Having experience in developing full stack applications is a plus.
+ Passionate about innovation and advancing the state of AI.
+ Curious about text, data, workflows, and multimodal reasoning.
**Why to join Teradata?**
+ **Real-World Impact** : Work on meaningful projects that address complex enterprise challenges.
+ **Innovative Technology** : Gain deeper experience with Agentic AI, Generative AI, and large-scale data platforms.
+ **Mentorship & Development** : Learn from experienced professionals in AI, machine learning, and data engineering.
+ **Collaborative Culture** : Join a supportive, inclusive team that values creativity and continuous learning.
+ **Career Progression** : Build a strong portfolio and skill set for a future in advanced AI.
#LI-VB1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.

**About NCR Atleos**
NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe.
**Key Responsibilities**
+ Design, develop, and deploy AI solutions using **Generative AI** and **Agentic AI** principles.
+ Build intelligent agents and copilots using **Microsoft Copilot stack** , **Azure AI Services** , and **Power Platform** .
+ Collaborate with product managers, data scientists, and engineers to translate business needs into scalable AI solutions.
+ Integrate AI models into enterprise systems using APIs, microservices, and automation pipelines.
+ Optimize model performance and ensure scalability in production environments.
+ Implement **CI/CD pipelines** for AI workloads using tools like GitHub Actions, Jenkins, etc.
+ Automate cloud workloads and manage deployment cycles across environments.
+ Stay current with the latest AI/ML research and apply cutting-edge techniques to projects.
+ Document models, workflows, and experiments for reproducibility and team knowledge sharing.
**Required Skills & Qualifications**
+ Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
+ 2-3 years of hands-on experience in AI/ML development, including deep learning and NLP.
+ Strong experience with **Azure AI Services** , **Azure Machine Learning** , **Power Platform** , and **Microsoft Copilot stack** .
+ Proficiency in Python and libraries like Pandas, NumPy, Scikit-learn, etc.
+ Experience with cloud platforms (Azure preferred; AWS/OCI a plus).
+ Familiarity with MLOps practices, containerization (Docker), and API frameworks (Flask, FastAPI).
+ Experience using **GitHub Copilot** or similar AI-assisted development tools.
+ Strong problem-solving skills and ability to work independently or in agile teams.
+ Excellent communication and collaboration skills.
**Preferred Qualifications**
+ Exposure to **model monitoring** , performance tuning, and observability in production.
+ Experience with **prompt engineering** , **LLM fine-tuning** , or **custom GPT deployments** .
+ Familiarity with **agent frameworks** (e.g., Semantic Kernel, AutoGen, LangChain, etc.).
Offers of employment are conditional upon passage of screening criteria applicable to the job.
**EEO Statement**
NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law.
**Statement to Third Party Agencies**
To ALL recruitment agencies: NCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.

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**
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.

**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**
Software Developers at IBM are the backbone of our strategic initiatives to design, code, test, and provide industry-leading solutions that make the world run today - planes and trains take off on time, bank transactions complete in the blink of an eye and the world remains safe because of the work our software developers do. Whether you are working on projects internally or for a client, software development is critical to the success of IBM and our clients worldwide. At IBM, you will use the latest software development tools, techniques and approaches and work with leading minds in the industry to build solutions you can be proud of.
**Your role and responsibilities**
As a Watson AI Developer, you would be responsible for developing and deploying challenging AI /Chatbot solutions using IBM Watson suite of products with flair knowledge on Python/Java.
- Be a trusted Advisor of the Customer for AI / Conversational use cases.
- Work for smooth delivery of assigned projects
- Research and implement appropriate Watson AI algorithms and tools
- Design and solutioning of new requirements
- Develop machine learning applications according to requirements
- Ability to work independently and as part of a team in a fast-paced, dynamic development environment.
- Mentor / lead team in the engagements
- Be a hands-on person and deliver.
- Will be involved in product installation/ configurations, troubleshooting (performance, 3rd party integrations, security)
- Based on customer requirements, deliver the deployment
- Work across timezones based on customer requirements
**Required technical and professional expertise**
10+ years' experience of overall experience
- 4+ years Experience in AI and ML technology
- Knowledge on Generative AI
- Watson Assistant, Watson Discovery, Watson Studio, Watsonx.ai
- ETL
- Databand
- Soul Machines Digital Avatar Integrations
- Any courses on Cloud, IBM products from coursera, Udemy, IBM cognitive etc
- Quick Learner, willingness to learn, hardworking and explore/pick-up the skills on their own.
- Working knowledge on Linux (RHEL, CoreOS, Ubuntu)
- Deploying software's on top of Linux and troubleshoot linux related issues.
- Good hands-on Shell scripting, Python, Ansible, Java
- Working knowledge with Git, eclipse, docker/podman, kubernets, Jenkins.
- Knowledge on Dev/ops & Monitoring.
**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.

About the Role:

We are seeking a highly skilled and innovative AI Engineer to join our team. The ideal candidate will design, develop, and deploy AI and machine learning solutions to solve complex business problems. You will work closely with cross-functional teams to integrate AI models into products and services, ensuring scalability, performance, and accuracy.

Key Responsibilities:

• Design, build, and deploy AI/ML models for real-world applications.
• Preprocess and analyze large datasets to derive meaningful insights.
• Collaborate with software engineers, data scientists, and product teams to integrate AI capabilities.
• Optimize model performance, scalability, and maintainability.
• Research and implement cutting-edge AI algorithms and frameworks.
• Maintain clear documentation for AI workflows, model training, and deployment processes.
• Monitor and fine-tune deployed models to ensure accuracy and relevance.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• Strong proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
• Experience with NLP, computer vision, or predictive analytics projects.
• Knowledge of cloud platforms like AWS, Azure, or GCP for AI/ML deployment.
• Solid understanding of data structures, algorithms, and software engineering principles.
• Hands-on experience with data preprocessing, feature engineering, and model evaluation.
• Strong problem-solving skills and ability to work independently.

Preferred Qualifications:

• Experience in large language models (LLMs) or generative AI.
• Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes).
• Exposure to big data tools like Spark, Hadoop, or Databricks.