ai engineer

Client of HR4U Consulting

Job Summary:We are seeking an experienced AI Engineer with AWS expertise to design, build, and deploy scalable artificial intelligence and machine learning solutions on the AWS cloud platform. The role involves leveraging AWS AI/ML services, managing data pipelines, and ensuring high-performance model deployment in production environments.Key Responsibilities:Design, develop, and deploy AI and ML models using AWS cloud infrastructure.Utilize AWS AI/ML services such as Amazon SageMaker, AWS Lambda, AWS Glue, Comprehend, Rekognition, and Polly.Build and manage end-to-end machine learning pipelines (data ingestion, training, deployment, and monitoring).Integrate AI models with existing applications via API Gateway or Lambda functions.Implement data preprocessing, feature engineering, and model optimization for better accuracy and performance.Monitor model performance, retraining cycles, and automate ML workflows using AWS tools.Collaborate with cross-functional teams including data scientists, DevOps, and cloud engineers.Maintain best practices for security, scalability, and cost optimization on AWS.Research and recommend new AWS tools or AI frameworks to enhance solution performance.Qualifications &amp; Skills:Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.Experience: 5 +years of experience in AI/ML engineering with strong exposure to AWS.Technical Skills:Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, scikit-learn, and pandas.Hands-on experience with Amazon SageMaker for building, training, and deploying ML models.Strong knowledge of AWS core services, including:EC2, S3, Lambda, Glue, CloudFormation, Step Functions, and API Gateway.AWS AI/ML services: SageMaker, Rekognition, Comprehend, Lex, Polly, Bedrock (for GenAI).Understanding of MLOps on AWS, including CI/CD for ML pipelines.Experience in containerization and orchestration (Docker, ECR, ECS, or Kubernetes).Familiarity with data engineering workflows on AWS using Glue, Redshift, or Athena.Good understanding of cloud security, IAM, and cost optimization principles.Soft Skills:Strong analytical and problem-solving abilities.Excellent teamwork and communication skills.Ability to work in an agile, fast-paced environment.Continuous learning mindset for new AWS and AI technologies.Preferred Qualifications:AWS Certified Machine Learning &ndash; Specialty or AWS Certified Solutions Architect certification.Experience with Generative AI, LLMs, or AWS Bedrock.Familiarity with data versioning tools (DVC, MLflow) and monitoring solutions (CloudWatch, SageMaker Model Monitor).Experience integrating AI solutions with business applications or APIs.Key Performance Indicators (KPIs):Accuracy and performance of deployed AI models.Uptime and scalability of AI systems on AWS.Cost efficiency and resource optimization on AWS infrastructure.Speed of AI model development-to-deployment lifecycle.Job Type: Full-timePay: &#8377;1,000,000.00 - &#8377;1,500,000.00 per yearWork Location: In person

AI Engineer

Aloes tree Pvt Ltd

Job Title: Full Stack AI Engineer (Python + React.js)Location: [Remote] Experience Level: 3&ndash;6 years Employment Type: Full-timeAbout the RoleWe are looking for a talented Full Stack AI Developer to design and build intelligent evaluation systems, interactive dashboards, and scalable backend APIs. You will work on AI integration using OpenAI, LangChain structured data pipelines, and Firebase-based backends while working with front-end to deliver seamless user experiences.This role requires a solid foundation in Python, REST API development, front-end development (React.js), and AI system design.Key Responsibilities<ul><li>Develop and maintain RESTful APIs using Flask or FastAPI.</li><li>Integrate and manage Firebase/Firestore for Auth, Storage, and Database operations.</li><li>Build AI-powered evaluation systems using LangChain and OpenAI APIs.</li><li>Design structured prompt templates and ensure consistent AI output formatting.</li><li>Implement LaTeX parsing and rendering for math or technical content.</li><li>Build interactive React.js dashboards or front-end interfaces for AI outputs.</li><li>Design JSON schemas and structured outputs for API responses and model evaluation pipelines.</li><li>Collaborate with cross-functional teams to deliver end-to-end AI solutions.</li></ul>Essential Skills<ul><li>Strong proficiency in Python (Flask or FastAPI).</li><li>Hands-on experience with Firestore / Firebase ecosystem.</li><li>Proven experience building REST APIs and handling JSON-based communication.</li><li>Familiarity with LangChain, OpenAI Integration.</li><li>Understanding of prompt engineering and structured AI evaluation workflows.</li><li>Knowledge of LaTeX parsing, math rendering, or symbolic formatting.</li><li>React.js or front-end development experience.</li></ul>Bonus / Preferred Skills<ul><li>Pydantic schemas for API validation and structured responses.</li><li>Prior work in EdTech, AI-based assessment, or learning analytics systems.</li><li>Full-stack experience combining backend AI pipelines with interactive front-end dashboards.</li></ul>What We Offer<ul><li>Opportunity to shape cutting-edge AI tools for education, analytics, and interactive dashboards.</li><li>Collaborative team working at the intersection of AI, software, and learning technology.</li><li>Competitive salary and potential for leadership roles in future AI initiatives.</li></ul>Job Types: Full-time, PermanentPay: &#8377;300,000.00 - &#8377;900,000.00 per yearBenefits:<ul><li>Flexible schedule</li><li>Leave encashment</li><li>Paid time off</li><li>Work from home</li></ul>Work Location: Remote

NTT DATA

Req ID: 340980
 
 
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. 
 
We are currently seeking a AI Engineer to join our team in Bangalore, Karn&#257;taka (IN-KA), India (IN). 
 
Job Duties: As a Senior AI Engineer, resource will develop and deploy innovative AI-powered solutions, working with large-scale datasets and cutting-edge tools to solve complex business challenges. They will collaborate closely with data scientists and fellow engineers, contributing to the entire AI development lifecycle from data ingestion to software deployment and monitoring. 
 
Key Responsibilities: 
 
Explore and implement generative AI technologies using Large Language Models and other generative models to create innovative solutions. 
 
Build and maintain robust APIs for enabling Retrieval-Augmented Generation and generative AI agents within business use cases. 
 
Design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets. 
 
Assist our data science team in the development and deployment of traditional machine learning models. 
 
Collaborate with data scientists to understand model requirements and translate them into scalable engineering solutions. 
 
Monitor and maintain performance and reliability of deployed APIs, models, and data pipelines. 
 
Stay up to date with the latest advancements in machine learning, generative AI, and related technologies. 
 
Minimum Skills Required: Required Qualifications 
 
Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or a related field) with a minimum of 5 years of professional experience; OR 
 
Master's Degree in a similar field with at least 3 years of relevant experience. 
 
5+ years of experience developing Python-based applications intended for use by others, beyond just building models or conducting data analysis. 
 
Experience with data manipulation libraries (e.g., Pandas, NumPy). 
 
Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts. 
 
Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). 
 
Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) 
 
3+ years of experience with containerization (e.g., Docker, Kubernetes). 
 
2+ years of experience with CI/CD tools, pipelines 
 
Experience working with Large Language Model (LLM) in application development 
 
Experience with version control systems (e.g., Git) and software development best practices. 
 
Experience with Databricks 
 
Preferred Qualifications 
 
Excellent problem-solving skills and ability to work in a collaborative environment. 
 
Knowledge of generative AI frameworks such as Langchain or Pydantic AI. 
 
Experience deploying software using tools like Docker and Kubernetes. 
 
Experience with deep learning techniques and frameworks. 
 
Knowledge of natural language processing (NLP). 
 
Familiarity with big data technologies (e.g., Hadoop, Spark). 
 
About NTT DATA 
 
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com 
 
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. 
 
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Tech Solutions Pro

We&rsquo;re Hiring &ndash; AI Engineer (2&ndash;3 Years Experience)Location: OnsiteEmployment Type: Full-time---About the Role,We&rsquo;re looking for a passionate AI Engineer to join our team. You&rsquo;ll help implement AI in our products, client projects, and internal processes by designing, building, and deploying innovative AI solutions.---Key Responsibilities,Design, build, and deploy AI/ML models for real-world use cases.,Research and implement state-of-the-art AI techniques (NLP, Computer Vision, Generative AI, etc.).,Collaborate with teams to identify opportunities for AI-driven innovation.,Fine-tune and optimize models for performance and cost.,Develop APIs/microservices for AI model integration.,Monitor and maintain deployed models for scalability &amp; reliability.,Stay updated with the latest advancements in AI/ML.,---Requirements,2&ndash;3 years experience as an AI/ML Engineer, Data Scientist, or similar.,Strong in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn).,Experience with NLP, Computer Vision, or Generative AI.,Familiarity with cloud platforms (AWS, GCP, Azure).,Knowledge of APIs, Docker, Kubernetes for deployment.,Strong problem-solving and analytical skills.,---Nice to Have,Experience with LLMs (LangChain, Hugging Face, OpenAI APIs).,Knowledge of MLOps for deployment/monitoring AI systems.,Exposure to prompt engineering and fine-tuning LLMs.,---What We Offer,Work on cutting-edge AI projects across multiple domains.,A culture of innovation and continuous learning.,Competitive salary &amp; growth opportunities.,Collaborative environment with talented engineers.Job Type: Full-timePay: Rs100,000.00 - Rs120,000.00 per monthWork Location: In person

Funprime technologies Pvt Ltd

We are hiring a AI Engineer with deep expertise in AI model development, optimization, and deployment. The role primarily focuses on enhancing existing AI models, improving their accuracy and efficiency, and managing server-side infrastructure for large-scale AI applications.Key Responsibilities<ul><li>Research, fine-tune, and enhance AI models for performance, scalability, and accuracy.</li><li>Develop backend systems to support model inference, data pipelines, and monitoring.</li><li>Manage and optimize server infrastructure (GPU-based systems, Docker, Kubernetes).</li><li>Deploy and maintain AI models in production with CI/CD pipelines.</li><li>Handle model versioning, testing, and performance evaluation.</li><li>Collaborate with cross-functional teams to ensure seamless model integration and stability.</li></ul>Required Skills <ul><li>Proficiency in Python, with experience in PyTorch, TensorFlow, or Transformers.</li><li>1-2 years of experience Required.</li><li>Strong understanding of machine learning model training, tuning, and deployment.</li><li>Experience with Docker, Kubernetes, Linux server management, and cloud environments (AWS / GCP / Contabo).</li><li>Solid knowledge of REST APIs, microservices, and data pipelines.</li><li>Familiarity with DevOps/MLOps tools and best practices.</li><li>Bonus: Experience in distributed training, GPU optimization, or custom model architectures.</li></ul>Job Type: Full-timeWork Location: In person

steadfast group

We are seeking an experienced and innovative AI Engineer to design, build, and deploy AI-driven solutions that enhance business operations and customer experience. The ideal candidate will have expertise in machine learning, natural language processing, and automation systems, with hands-on experience in developing and integrating AI models into production environments.Key ResponsibilitiesDesign, develop, and deploy AI/ML models and algorithms for business applications.Build and maintain data pipelines for model training and validation.Collaborate with software engineers, data scientists, and business teams to integrate AI capabilities into products and systems.Apply deep learning, NLP, and computer vision techniques to solve real-world problems.Optimize models for scalability, performance, and efficiency.Analyze datasets to identify trends, anomalies, and predictive opportunities.Stay updated with emerging AI technologies, frameworks, and best practices.Prepare technical documentation and participate in project planning and progress reporting.Ensure compliance with data security, governance, and ethical AI standards.Desired ProfileBachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field.3&ndash;6 years of experience in AI/ML model development, preferably within the UAE or GCC region.Strong programming skills in Python and libraries such as TensorFlow, PyTorch, Keras, Scikit-learn, and OpenCV.Experience with cloud-based AI environments (AWS SageMaker, Google Vertex AI, Azure ML).Solid understanding of data preprocessing, model evaluation, and deployment.Familiarity with MLOps pipelines and version control tools (Git, Docker).Excellent problem-solving, analytical, and teamwork skills.Salary AED20000 to AED30000Job Type: Full-timePay: AED20,000.00 - AED30,000.00 per month

ZIEL Global Private Limited

About the Role We&rsquo;re looking for an experienced AI Engineer to design and implement production-grade AI systems that automate complex workflows, enable intelligent decision support, and deliver real-time insights for enterprise operations. You will build and optimize large language model (LLM) applications integrated with live business data, ensuring performance, reliability, and compliance at scale.Key Responsibilities<ul><li>Develop intelligent agent workflows using frameworks such as LangChain or LangGraph</li><li>Integrate LLMs with APIs, databases, and external business systems</li><li>Design context-aware, multi-turn conversational systems and long-running agents</li><li>Build evaluation frameworks to measure system accuracy and business relevance</li><li>Fine-tune models for domain-specific use cases and explore reinforcement learning agents</li><li>Implement data security, compliance, and audit mechanisms for AI components</li></ul>Qualifications<ul><li>5+ years of software engineering or applied AI experience</li><li>Proven expertise building and deploying production AI/ML systems</li><li>Hands-on experience with major LLMs (OpenAI, Anthropic, or open-source)</li><li>Strong skills in Python and API-based system design</li><li>Familiarity with prompt engineering, RAG architectures, and vector databases</li><li>Excellent communication and analytical thinking skills</li></ul>Preferred<ul><li>Experience with industrial or procurement-based data domains</li><li>Familiarity with MRO or enterprise data environments</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you available to join immediately?</li><li>How would you rate your English communication skills, spoken and written?</li><li>What are your salary expectations?</li></ul>Work Location: In person

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