45 Ai Frameworks Jobs - Page 2

As a Product Security and QA Lead at Aptiv, you will play a crucial role in driving security and quality assurance initiatives for edge AI applications. Your primary responsibility will be to ensure that our edge computing solutions meet the highest standards of security, reliability, and performance. By leading cross-functional teams, you will establish robust security frameworks and quality processes specifically tailored for AI applications deployed at the edge. In terms of security leadership, you will be responsible for designing and implementing comprehensive security frameworks for edge AI applications. This includes ensuring secure model deployment, data protection, and device authentication. You will conduct threat assessments specific to edge AI environments, identify vulnerabilities in AI models, edge devices, and communication channels, and establish security testing protocols such as penetration testing, vulnerability assessments, and adversarial AI testing. Compliance management will also be a key aspect of your role, as you ensure adherence to industry standards and emerging AI governance frameworks, including ISO 27001, NIST, GDPR, and CCPA. Additionally, you will implement privacy-preserving techniques for edge AI, such as federated learning, differential privacy, and secure multi-party computation. In terms of quality assurance leadership, you will develop and execute comprehensive QA strategies for edge AI products, including model validation, performance testing, and reliability assessment. You will create detailed test plans covering functional, performance, security, and AI-specific testing scenarios, and lead and mentor QA engineers, security analysts, and test automation specialists. Establishing KPIs and metrics for product quality, security posture, and AI application/model performance will be essential, along with continuously optimizing testing processes and methodologies for edge AI applications. Your background should include a Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field, along with 10+ years of experience in product security and/or QA leadership roles, with at least 3 years specifically in AI/ML or edge computing. Deep understanding of cybersecurity principles, threat modeling, security testing methodologies, machine learning algorithms, model training, inference, AI system architectures, edge computing platforms, IoT devices, distributed AI systems, programming proficiency in Python, C/C++, and scripting languages, experience with security testing tools, AI frameworks, cloud platforms, and testing frameworks will be crucial for success in this role. Join Aptiv to be part of an inclusive work environment that fosters growth and development for all individuals, regardless of gender, ethnicity, or beliefs. Make an impact by contributing to a safer world with zero fatalities, zero injuries, and zero accidents. Benefit from resources and support for your family, physical, and mental health, including competitive health insurance. Enjoy hybrid and flexible working hours, higher education opportunities, life and accident insurance, Sodexo cards, well-being programs, EAP Employee Assistance, access to fitness clubs, and creche facilities for working parents. Apply today to be a part of shaping tomorrow at Aptiv!,

Required Skills: Strong experience in AI/ML architecture and solution design. Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with LLMs and generative AI (OpenAI, Azure OpenAI, LangChain, Hugging Face). Strong programming background in Python (FastAPI, Flask), and familiarity with Java/Node.js. Experience in cloud platforms (AWS/GCP/Azure) and ML toolkits (SageMaker, Azure ML, Vertex AI). Good understanding of microservices, REST APIs, GraphQL, and event-driven architecture. Knowledge of vector databases like Pinecone, FAISS, Chroma, or Weaviate. Proficiency with CI/CD, Docker, Kubernetes, MLflow, Airflow, or similar tools.

Job Brief We are seeking an AI Lead Engineer to join our Digital Engineering team, focusing exclusively on Innovation Initiatives. As part of our dynamic group, you will contribute to cutting-edge AI-driven platforms and future-trend projects. The ideal candidate possesses deep expertise in machine learning and AI, with a proven record of developing scalable solutions. This role demands a delivery-focused mindset, emphasizing quick, incremental outputs in an agile environment. Priority will be given to candidates who have demonstrated experience in building small applications using existing libraries and datasets, creating layers or wrappers to develop innovative solutions. We value the ability to integrate and unify existing technologies rather than developing from scratch, as this approach aligns with our fast-paced, innovation-driven environment. You'll balance innovative thinking with practical implementation, driving substantial business impact through rapid prototyping and deployment of AI solutions. Responsibilities Develop cutting-edge AI solutions for future trends Rapidly prototype and deliver impactful features (DemoBytes) Integrate existing libraries/datasets for novel applications Develop select features from scratch when necessary Collaborate cross-functionally on AI innovations Proactively improve systems based on AI trends Participate in agile development processes Deliver frequent, incremental outputs Balance innovation with practical implementation Requirements and Skills Master's in Computer Science, Engineering, AI, or a related field 7+ years of experience in developing and deploying machine learning models and AI solutions. Handled team of minimum 5. Strong proficiency in Python; familiarity with Java and R Expertise in machine learning, deep learning, natural language processing (NLP), and computer vision Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or Keras Solid understanding of data structures, algorithms, and software design principles Knowledge of RESTful APIs and microservices architecture Familiarity with agile development methodologies Strong problem-solving skills and ability to work effectively in a team environment Excellent communication skills to explain complex AI concepts to both technical and non-technical stakeholders Preferred Qualifications Experience with reinforcement learning and generative AI models Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience with database systems (SQL and NoSQL) Contributions to open-source AI projects or research publications in the field of AI.

Job Description As an AI Developer at Microden in Hyderabad, you will be responsible for developing AI models, implementing algorithms, and working on various AI projects. This is a full-time on-site role that requires proficiency in Python, TensorFlow, and other AI frameworks. Additionally, you should have experience in machine learning, deep learning, and natural language processing. To excel in this role, you must possess strong analytical and problem-solving skills. A Bachelor's degree in Computer Science or a related field is required. The ability to work collaboratively in a team environment is also essential.,

Role & responsibilities Proficient: Languages/Framework: Fast API, Azure UI Search API (React) tabases and ETL: Cosmos DB (API for MongoDB), Data Factory Data Bricks Proficiency in Python and R Cloud: Azure Cloud Basics (Azure DevOps) Gitlab: Gitlab Pipeline o Ansible and REX: Rex Deployment Data Science: Prompt Engineering + Modern Testing Data mining and cleaning ML (Supervised/unsupervised learning) NLP techniques, knowledge of Deep Learning techniques include RNN, transformers End-to-end AI solution delivery AI integration and deployment AI frameworks (PyTorch) MLOps frameworks Model deployment processes Data pipeline monitoring Expert: (in addition to proficient skills) Languages/Framework: Azure Open AI Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search Databases and ETL: Azure Storage Account Expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning) Proficiency in deep learning frameworks (TensorFlow, PyTorch) Strong mathematical foundation (linear algebra, calculus, probability, statistics) Research methodology and experimental design Proficiency in data analysis tools (Pandas, NumPy, SQL) Strong statistical and probabilistic modelling skills Data visualization skills (Matplotlib, Seaborn, Tableau) Knowledge of big data technologies (Spark, Hive) Experience with AI-driven analytics and decision-making systems Note: ***Notice Period should not be more than 10-15 days. ***

As the Data Engineer, you will play a pivotal role in shaping our data infrastructure and executing against our strategy. You will ideate alongside engineering, data and our clients to deploy data products with an innovative and meaningful impact to clients. You will design, build, and maintain scalable data pipelines and workflows on AWS. Additionally, your expertise in AI and machine learning will enhance our ability to deliver smarter, more predictive solutions. Key Responsibilities Collaborate with other engineers, customers to brainstorm and develop impactful data products tailored to our clients. Leverage AI and machine learning techniques to integrate intelligent features into our offerings. Develop, and optimize end-to-end data pipelines on AWS Follow best practices in software architecture and development. Implement effective cost management and performance optimization strategies. Develop and maintain systems using Python, SQL, PySpark, and Django for front-end development. Work directly with clients and end-users and address their data needs Utilize databases and tools including and not limited to, Postgres, Redshift, Airflow, and MongoDB to support our data ecosystem. Leverage AI frameworks and libraries to integrate advanced analytics into our solutions. Qualifications Experience: Minimum of 3 years of experience in data engineering, software development, or related roles. Proven track record in designing and deploying AWS cloud infrastructure solutions At least 2 years in data analysis and mining techniques to aid in descriptive and diagnostic insights Extensive hands-on experience with Postgres, Redshift, Airflow, MongoDB, and real-time data workflows. Technical Skills: Expertise in Python, SQL, and PySpark Strong background in software architecture and scalable development practices. Tableau, Metabase or similar viz tools experience Working knowledge of AI frameworks and libraries is a plus. Leadership & Communication: Demonstrates ownership and accountability for delivery with a strong commitment to quality. Excellent communication skills with a history of effective client and end-user engagement. Startup & Fintech Mindset: Adaptability and agility to thrive in a fast-paced, early-stage startup environment. Passion for fintech innovation and a strong desire to make a meaningful impact on the future of finance. Location: Remote

About this role: Lead Software Engineer (AI) position having experience in classic and generative AI techniques, and responsible for design, implementation, and support of Python based applications to help fulfill our Research & Consulting Delivery strategy. What youll do: Deliver client engagements that use AI rapidly, on the order of a few weeks Stay on top of current tools, techniques, and frameworks to be able to use and advise clients on them Build proofs of concept rapidly, to learn and adapt to changing market needs Support building internal applications for use by associates to improve productivity What you’ll need: 6-8 years of experience in classic AI techniques and at least 1.5 years in generative AI techniques. Demonstrated ability to run short development cycles and solid grasp of building software in a collaborative team setting. Must have: Experience building applications for knowledge search and summarization, frameworks to evaluate and compare performance of different GenAI techniques, measuring and improving accuracy and helpfulness of generative responses, implementing observability. Experience with agentic AI frameworks, RAG, embedding models, vector DBs Experience working with Python libraries like Pandas, Scikit-Learn, Numpy, and Scipy is required. Experience deploying applications to cloud platforms such as Azure and AWS. Solid grasp of building software in a collaborative team setting - use of agile scrum and tools like Jira / GitHub. Nice to have: Experience in finetuning Language models. Familiarity with AWS Bedrock / Azure AI / Databricks Services. Experience in Machine learning models and techniques like NLP, BERT, Transformers, Deep learning. Experience in MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., Experience building scalable data models and performing complex relational databases queries using SQL (Oracle, MySQL, PostgreSQL). Who you are: Excellent written, verbal, and interpersonal communication skills with the ability to present technical information in a clear and concise manner to IT Leaders and business stakeholders. Effective time management skills and ability to meet deadlines. Excellent communications skills interacting with technical and business audiences. Excellent organization, multitasking, and prioritization skills. Must possess a willingness and aptitude to embrace new technologies/ideas and master concepts rapidly. Intellectual curiosity, passion for technology and keeping up with new trends. Delivering project work on-time within budget with high quality. Demonstrated ability to run short development cycle.

We are seeking a highly skilled ML/AI Developer to join our team. In this role, you will develop, implement, and maintain machine learning models and AI systems, as well as design and deliver AI solutions that drive business outcomes.

Key Responsibilities: Build Scale AI ProductsDevelop and scale AI-driven B2C products with >1L MAU. Model ExpertiseWork withclosed models(OpenAI, Vertex AI)open-source LLMs(Llama, DeepSeek). Real-World AI ApplicationsFine-tune ground LLMs for domain-specific knowledge. Retrieval Function CallingImplement information retrieval and function-calling mechanisms. Evaluation FrameworksDesign long-term evaluation frameworks for AI performance improvements. What We re Looking For: 3-4 years of startup experiencewith managerial capability to build lead teams. Proven AI expertise, with a strong track record in applied AI LLMs. B2C Product SuccessBuilt and scaled AI-powered products with significant user adoption (>1L MAU). Hands-on experiencein AI frameworks, model tuning, and real-world LLM applications.

As the Data Engineer, you will play a pivotal role in shaping our data infrastructure and executing against our strategy. You will ideate alongside engineering, data and our clients to deploy data products with an innovative and meaningful impact to clients. You will design, build, and maintain scalable data pipelines and workflows on AWS. Additionally, your expertise in AI and machine learning will enhance our ability to deliver smarter, more predictive solutions. Key Responsibilities Collaborate with other engineers, customers to brainstorm and develop impactful data products tailored to our clients. Leverage AI and machine learning techniques to integrate intelligent features into our offerings. Develop, and optimize end-to-end data pipelines on AWS Follow best practices in software architecture and development. Implement effective cost management and performance optimization strategies. Develop and maintain systems using Python, SQL, PySpark, and Django for front-end development. Work directly with clients and end-users and address their data needs Utilize databases and tools including and not limited to, Postgres, Redshift, Airflow, and MongoDB to support our data ecosystem. Leverage AI frameworks and libraries to integrate advanced analytics into our solutions. Qualifications Experience: Minimum of 3 years of experience in data engineering, software development, or related roles. Proven track record in designing and deploying AWS cloud infrastructure solutions At least 2 years in data analysis and mining techniques to aid in descriptive and diagnostic insights Extensive hands-on experience with Postgres, Redshift, Airflow, MongoDB, and real-time data workflows. Technical Skills: Expertise in Python, SQL, and PySpark Strong background in software architecture and scalable development practices. Tableau, Metabase or similar viz tools experience Working knowledge of AI frameworks and libraries is a plus. Leadership & Communication: Demonstrates ownership and accountability for delivery with a strong commitment to quality. Excellent communication skills with a history of effective client and end-user engagement. Startup & Fintech Mindset: Adaptability and agility to thrive in a fast-paced, early-stage startup environment. Passion for fintech innovation and a strong desire to make a meaningful impact on the future of finance.

As an Solution Architect - AI , you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards. Responsibilities: - Lead the design, development and implementation of NLP projects and solve complex business problems. Lead a team of NLP Developers and data scientists, provide guidance, support, and mentorship to ensure project success and professional development. Evaluate and select appropriate machine learning models for tasks, and also build and train working versions of those models using Python and other open-source technologies. Work across client teams to develop and implement LLM solutions. Develop prompts that instruct LLM to generate relevant and accurate responses, RAG Architecture, LLM Fine Tuning. Expertise in EDA, data engineering, including data curation, cleaning, and preprocessing. Track record of driving innovation and staying updated with the latest AI research and advancements. Educational Qualifications: - Engineering Degree - BE/ME/BTech/MTech/BSc/MSc. Technical certification in multiple technologies is desirable. Skills: - Mandatory Technical Skills:- Deep Learning techniques such as Seq 2 Seq modeling, Convolution Networks, RNNs and GAN networks Experience in GenAI tools and Utilities such as Transformers, Embeddings, GitHub Copilot Experience working on foundation models such as BERT, and more, and GenAI LLMs like GPT3.5 and above, Anthropic, and more Proven experience in developing and deploying NER models Proficiency in programming languages such as NLP libraries (e.g.: spaCy, NLTK, Stanford NLP, Hugging Face Transformers) Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch, Keras, scikit-learn, Caffe, CNTK Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels Good to have skills: - Experience in medical imaging

As an Solution Architect - AI , you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards. Responsibilities: - Lead the design, development and implementation of NLP projects and solve complex business problems. Lead a team of NLP Developers and data scientists, provide guidance, support, and mentorship to ensure project success and professional development. Evaluate and select appropriate machine learning models for tasks, and also build and train working versions of those models using Python and other open-source technologies. Work across client teams to develop and implement LLM solutions. Develop prompts that instruct LLM to generate relevant and accurate responses, RAG Architecture, LLM Fine Tuning. Expertise in EDA, data engineering, including data curation, cleaning, and preprocessing. Track record of driving innovation and staying updated with the latest AI research and advancements. Educational Qualifications: - Engineering Degree - BE/ME/BTech/MTech/BSc/MSc. Technical certification in multiple technologies is desirable. Skills: - Mandatory Technical Skills:- Deep Learning techniques such as Seq 2 Seq modeling, Convolution Networks, RNNs and GAN networks Experience in GenAI tools and Utilities such as Transformers, Embeddings, GitHub Copilot Experience working on foundation models such as BERT, and more, and GenAI LLMs like GPT3.5 and above, Anthropic, and more Proven experience in developing and deploying NER models Proficiency in programming languages such as NLP libraries (e.g.: spaCy, NLTK, Stanford NLP, Hugging Face Transformers) Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch, Keras, scikit-learn, Caffe, CNTK Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels Good to have skills: - Experience in medical imaging

As the Data Engineer, you will play a pivotal role in shaping our data infrastructure and executing against our strategy. You will ideate alongside engineering, data and our clients to deploy data products with an innovative and meaningful impact to clients. You will design, build, and maintain scalable data pipelines and workflows on AWS. Additionally, your expertise in AI and machine learning will enhance our ability to deliver smarter, more predictive solutions. Key Responsibilities Collaborate with other engineers, customers to brainstorm and develop impactful data products tailored to our clients. Leverage AI and machine learning techniques to integrate intelligent features into our offerings. Develop, and optimize end-to-end data pipelines on AWS Follow best practices in software architecture and development. Implement effective cost management and performance optimization strategies. Develop and maintain systems using Python, SQL, PySpark, and Django for front-end development. Work directly with clients and end-users and address their data needs Utilize databases and tools including and not limited to, Postgres, Redshift, Airflow, and MongoDB to support our data ecosystem. Leverage AI frameworks and libraries to integrate advanced analytics into our solutions. Qualifications Experience: Minimum of 3 years of experience in data engineering, software development, or related roles. Proven track record in designing and deploying AWS cloud infrastructure solutions At least 2 years in data analysis and mining techniques to aid in descriptive and diagnostic insights Extensive hands-on experience with Postgres, Redshift, Airflow, MongoDB, and real-time data workflows. Technical Skills: Expertise in Python, SQL, and PySpark Strong background in software architecture and scalable development practices. Tableau, Metabase or similar viz tools experience Working knowledge of AI frameworks and libraries is a plus. Leadership & Communication: Demonstrates ownership and accountability for delivery with a strong commitment to quality. Excellent communication skills with a history of effective client and end-user engagement. Startup & Fintech Mindset: Adaptability and agility to thrive in a fast-paced, early-stage startup environment. Passion for fintech innovation and a strong desire to make a meaningful impact on the future of finance.

Role & responsibilities Mandatory Skill: Python, AI/ML, NLP Programming Languages: Python is particularly popular due to its extensive libraries for AI and machine learning .Proficiency in any languages such as Python, Java, R, C++, and JavaScript is essential. Machine Learning and Deep Learning: A strong foundation in machine learning algorithms (e.g., linear regression, decision trees) and deep learning techniques (e.g., neural networks) is crucial Natural Language Processing (NLP): Skills in NLP techniques like text classification, sentiment analysis, and language modeling are vital for developing chatbots and virtual assistants Data Analysis and Visualization: Ability to analyze and visualize data using tools like Pandas etc AI Frameworks and Libraries: Familiarity with frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn . Work Location: Chennai/Hyderabad/Pune/Trivandrum/Bangalore Interested candidate share me your updated resume in recruiter.wtr26@walkingtree.in

Greetings from V2Soft Position : AI Architect / Developer Location : Bangalore / Chennai Experience : 9 -15 Years. Mode : Hybrid. Role & responsibilities : 10+ years of experience in the field of AI and ML ( Machine Learning ) 2 Years of relevant experience and previous work in any related AI is a plus Gen AI Experience Text embeddings Vector DB AI Frameworks [ Lang chain / Lama Index/ Language Graph* ] Prompt Engineering & Techniques RAG ( Retrieve Augment and Generate ) MCP ( Model Context Protocol )* Agentic AI* LLM ( Large Language Models , both open source and proprietary ) Measuring Model Accuracy* Deploying Models on-prem and on the cloud Interested Candidates can send your updated resume to : kkumarpn@v2soft.com Regards Kiran

Design, develop, and maintain embedded software systems using C/C++. Knowledge of deployment of AI frameworks, including TinyML/ EdgeML, to enhance embedded systems capabilities is beneficial. Conduct performance optimization of hardware systems to ensure ef ficient operation and resource utilization. Utilize understanding of CPU architecture: Perform capacity estimation and planning t o ensure that systems (built prototypes) are scalable and can handle projected workloads. Develop and maintain documentation for software design and implementation processes. Basic knowledge of WebAssembly is advantageous. Business fluent knowledge of Engli sh (written and spoken). Key responsibilities: Integrate different ML frameworks (together with an ML engineer) on WebAssembly an d BMW series Hardware (RTOS, POSIX). Measure performances and develop clear documentation. Benchmark different ML frameworks p erformances and memory footprints. Conduct pre-development activities, inc

GEN AI Consultant 4+Yrs(Hand on exp in GEN AI+ML) Upto 20L, BLR,Pune 7+Yrs(Hand on exp in GEN AI+ML) Upto 35L BLR,Pune,Chennai,Jaipur Skills:Gen AI,AI models,AI frameworks,Python,Any Cloud mansikohliimaginator@gmail.com Required Candidate profile Cloud platforms IBM Cloud, AZURE Cloud, Google Cloud, and AWS. Frameworks Flask, Django, Nginx + Gunicorn, Docker, Kubernetes, SCM (Git),DevOps (CI/CD) Tools such as Prometheus, MLflow, Grafana.

Organization: At CommBank, we never lose sight of the role we play in other people's financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title: Platform Engineer Location: Manyata Tech Park, Bangalore Business & Team: CTO - Platform Hosting Impact &contribution: The Next Gen Modernization team is pivotal transformation squad to achieve the DevOps driven automation vision. A Platform Engineer will take the ownership of development and deployment of automated components with precision delivery of the squad's vison. The squad will be involved with engineers and Business Analysts in Business units to creatively solve their problems and pain points. Roles & responsibilities: Design and implement automation solutions using Python and DevOps. This includes creating scripts and tools to automate tasks, reduce manual work, and improve process efficiency. Utilizing Python's libraries and frameworks, develop robust automation for infrastructure, deployment, and monitoring systems, optimizing workflows and minimizing errors. CI/CD Pipeline setting up and maintaining using GitHub Actions, Ansible and other DevOps tools. This includes automated workflows for testing, integration, and deployment of code changes. Effectively integrate AI capabilities into the infrastructure, automate the gathering of business requirements through intelligent data analysis, and enhance automated testing processes by using AI-driven testing tools. Managing and maintaining the infrastructure ensuring that the infrastructure is scalable, without compromising performance. Implement and enforce security measures to protect our infrastructure from threats and vulnerabilities. This includes regular security assessments, patch management, and compliance with industry standards. Ensure that all systems and processes comply with security standards and regulations. Implement security best practices and conduct regular security assessments. Collaborate with development, operations, and quality assurance teams to ensure seamless integration and delivery of the workloads. Communicate effectively with team members and stakeholders to align on goals and objectives. Essential skills: Total Years of experience: 3+ (Not more than 7 years) Strong knowledge of scripting and coding languages like Python, Bash, or PowerShell is crucial for automating tasks and processes. A strong understanding of AI is crucial. This includes knowledge of algorithms, neural networks, natural language processing, and other AI techniques. Proficiency in using AI frameworks and is essential. Expertise in CI/CD practices and tools such as GitHub Actions, Ansible, Jenkins to automate the build, test, and deployment processes. Proficient with JIRA, Confluence, Scrum and Agile framework and culture. ServiceNow, Operations and service management would be an addon. Proficiency in version control systems like Git to manage and automate code changes and collaboration. Proficiency in private cloud platforms to automate the deployment and management of cloud resources. Knowledge of monitoring and logging tools to automate the monitoring and logging of infrastructure and applications. Proficiency in version control systems like Git to manage and automate code changes and collaboration. Education Qualification: Bachelor's degree or master's degree in engineering in Computer Science/Information Technology. If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through to submit a valid application. We're keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 12/06/2025

Build and deploy scalable ML models and MLOps pipelines in collaboration with data scientists Required Candidate profile 6–12 yrs in ML development, Python, model tuning, and enterprise AI deployment.

Job Summary: We are seeking a highly skilled Knowledge Engineer to join our team and play a key role in developing and implementing advanced knowledge management frameworks and solutions, enhanced with Generative AI (GenAI) capabilities The successful candidate will create, maintain, and evolve a robust knowledge infrastructure, leveraging AI to drive smarter knowledge solutions across our organization This role requires a strong foundation in knowledge management, a deep understanding of AI technologies, and an ability to innovate in solution delivery Key Responsibilities : Develop Knowledge Management Frameworks: Design, build, and implement comprehensive frameworks that capture, organize, and facilitate the sharing of knowledge across teams and departments Enable Knowledge Evolution with GenAI: Drive the evolution of knowledge repositories and management systems with generative AI capabilities, ensuring the system continuously learns and improves in response to user inputs and new information Create and Maintain Solution Banks: Establish and manage a repository of solution banks that can be utilized by teams to solve recurring challenges efficiently Develop processes to update and evolve these solution banks as knowledge and technology advance Collaborate with Cross-functional Teams: Work closely with stakeholders, including engineers, data scientists, and domain experts, to understand knowledge requirements, identify gaps, and continuously improve knowledge management solutions Ensure High-Quality Knowledge Assets: Create and maintain high standards for knowledge assets, ensuring they are accurate, accessible, and aligned with organizational goals Leverage Advanced AI Techniques: Apply AI/ML techniques, particularly GenAI, to enhance knowledge retrieval, classification, and recommendation processes, making knowledge systems more intuitive and user-centric Measure and Report on Knowledge System Effectiveness: Develop metrics to measure the effectiveness of knowledge systems and GenAI implementations, using these insights to drive improvements and maximize impact Qualifications : Educational Background: Bachelors degree in Engineering, Computer Science, or a related field Experience: Proven experience in knowledge engineering or knowledge management Expertise in designing and implementing knowledge management frameworks Strong understanding of AI, specifically GenAI technologies, and their application to knowledge evolution and management Familiarity with solution bank creation and maintenance processes Experience : Minimum of 3 years in a similar role is required; overall 5 years Skills : Proficiency in knowledge management tools and systems Strong analytical and problem-solving skills, with the ability to translate complex requirements into actionable solutions Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders Knowledge of AI and ML frameworks, libraries, and best practices Knowledge Engineer, Knowledge Management, Knowledge Frameworks, Generative AI, GenAI, Knowledge Infrastructure, AI Solutions, Solution Banks, Knowledge Repositories, AI/ML Techniques, Cross-functional Collaboration, Knowledge Assets, AI Technologies, Knowledge Retrieval, Knowledge Classification, Knowledge Recommendation, AI-driven Systems, Engineering, Computer Science, Knowledge Engineering, Knowledge Management Frameworks, GenAI Implementation, Solution Bank Maintenance, Analytical Skills, Problem-solving, Communication Skills, AI Frameworks, ML Frameworks, AI Libraries, Machine Learning, Knowledge Systems, Metrics Development, Continuous Improvement, User-centric Design, Knowledge Sharing, Technical Translation, Stakeholder Engagement, Innovation in AI Solutions, Knowledge Evolution