AI Engineer Pune,Maharashtra,India 3 years Not disclosed On-site Full Time

Job description Job Role: Ai Engineer Experience: 3 to 5 Years Location : Client Office – Pune, India Job Type : Full-Time Department : Artificial Intelligence / Engineering Work Mode : On-site at client location About the Role We are seeking a highly skilled and versatile Senior AI Engineer with over 3 to 5 years of hands-on experience to join our client’s team in Pune. This role focuses on designing, developing, and deploying cutting-edge AI and machine learning solutions for high-scale, high-concurrency applications where security, scalability, and performance are paramount. You will work closely with cross-functional teams, including data scientists, DevOps engineers, security specialists, and business stakeholders, to deliver robust AI solutions that drive measurable business impact in dynamic, large-scale environments. Job Summary: We are seeking a passionate and experienced Node.js Developer to join our backend engineering team. As a key contributor, you will be responsible for building scalable, high-performance APIs, microservices, and backend systems that power our products and services. You will leverage modern technologies and best practices to design and implement robust, maintainable, and efficient solutions. You should have a deep understanding of Node.js, NestJS, Express.js, along with hands-on experience designing and building complex backend systems. Key Responsibilities Architect, develop, and deploy advanced machine learning and deep learning models across domains like NLP, computer vision, predictive analytics, or reinforcement learning, ensuring scalability and performance under high-traffic conditions. Preprocess, clean, and analyze large-scale structured and unstructured datasets using advanced statistical, ML, and big data techniques. Collaborate with data engineering and DevOps teams to integrate AI/ML models into production-grade pipelines, ensuring seamless operation under high concurrency. Optimize models for latency, throughput, accuracy, and resource efficiency, leveraging distributed computing and parallel processing where necessary. Implement robust security measures, including data encryption, secure model deployment, and adherence to compliance standards (e.g., GDPR, CCPA). Partner with client-side technical teams to translate complex business requirements into scalable, secure AI-driven solutions. Stay at the forefront of AI/ML advancements, experimenting with emerging tools, frameworks, and techniques (e.g., generative AI, federated learning, or AutoML). Write clean, modular, and maintainable code, along with comprehensive documentation and reports for model explainability, reproducibility, and auditability. Proactively monitor and maintain deployed models, ensuring reliability and performance in production environments with millions of concurrent users. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related technical field. 5+ years of experience building and deploying AI/ML models in production environments with high-scale traffic and concurrency. Advanced proficiency in Python and modern AI/ML frameworks, including TensorFlow, PyTorch, Scikit-learn, and JAX. Hands-on expertise in at least two of the following domains: NLP, computer vision, time-series forecasting, or generative AI. Deep understanding of the end-to-end ML lifecycle, including data preprocessing, feature engineering, hyperparameter tuning, model evaluation, and deployment. Proven experience with cloud platforms (AWS, GCP, or Azure) and their AI/ML services (e.g., SageMaker, Vertex AI, or Azure ML). Strong knowledge of containerization (Docker, Kubernetes) and RESTful API development for secure and scalable model deployment. Familiarity with secure coding practices, data privacy regulations, and techniques for safeguarding AI systems against adversarial attacks. Preferred Skills Expertise in MLOps frameworks and tools such as MLflow, Kubeflow, or SageMaker for streamlined model lifecycle management. Hands-on experience with large language models (LLMs) or generative AI frameworks (e.g., Hugging Face Transformers, LangChain, or Llama). Proficiency in big data technologies and orchestration tools (e.g., Apache Spark, Airflow, or Kafka) for handling massive datasets and real-time pipelines. Experience with distributed training techniques (e.g., Horovod, Ray, or TensorFlow Distributed) for large-scale model development. Knowledge of CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Ansible) for scalable and automated deployments. Familiarity with security frameworks and tools for AI systems, such as model hardening, differential privacy, or encrypted computation. Proven ability to work in global, client-facing roles, with strong communication skills to bridge technical and business teams. Share the CV on hr.mobilefirst@gmail.com/6355560672 Show more Show less

Quality Assurance Specialist India 3 years None Not disclosed Remote Full Time

Job Role: QA Specialist [Manual + Auto] #Immediate Joiner Job Type: Full Time Job Location: Ahmedabad On site / Remote Company Description MobileFirst, a Software Development Studio since 2014, specializes in developing customized iOS, Android, Blockchain, Web, and AI solutions. Their robust tech stack includes Swift, React Native, Java, NodeJS, ReactJS, PHP, and AI tools. The company has partnered with top clients from various industries and supported numerous startups, focusing on delivering high-quality, scalable, and sustainable solutions. About the Role We are looking for a Quality Assurance (QA) engineer to develop and execute exploratory and automated tests to ensure product quality. The QA technician role plays an important part in our company’s product development process. Our ideal candidate will be responsible for conducting tests before product launches to ensure software runs smoothly and meets client needs, while being cost-effective. If you hold an engineering background and enjoy providing end-to-end solutions to software quality problems, we’d like to meet you. Ultimately, you should monitor all stages of software development to identify and resolve system malfunctions to meet quality standards. Responsibilities Should be able to create and review the automation framework based on project need Create test cases/strategies and test plan with best optimization Create traceability between requirements and test cases Should be able to plan work as per deadline Review requirements, specifications and technical design documents to provide timely and meaningful feedback Create detailed, comprehensive and well-structured test plans and test cases Estimate, prioritize, plan and coordinate testing activities Design, develop and execute automation scripts using open source tools Identify, record, document thoroughly and track bugs Perform thorough regression testing when bugs are resolved Develop and apply testing processes for new and existing products to meet client needs Liaise with internal teams (e.g. developers and product managers) to identify system requirements Monitor debugging process results Investigate the causes of non-conforming software and train users to implement solutions Track quality assurance metrics, like defect densities and open defect counts Stay up-to-date with new testing tools and test strategies Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. 3-5 years of hands-on experience in software quality assurance. Proficiency in manual testing methodologies, tools, and best practices. Exposure to automation testing tools (e.g., Selenium, Appium, TestNG, JUnit). Familiarity with defect tracking and test management tools (e.g., JIRA, TestRail). Strong analytical and problem-solving skills with attention to detail. Basic understanding of programming/scripting languages (e.g., Python, Java, JavaScript) is a plus. Knowledge of Agile and Scrum methodologies. Excellent written and verbal communication skills. Preferred Skills: Experience in API testing using tools like Postman or SOAP UI. Knowledge of performance testing tools (e.g., JMeter, LoadRunner). Familiarity with version control systems (e.g., Git). Exposure to mobile application testing. Can share the CV at hiring@mobilefirst.in

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