Job description Must have 6-8 years of work experience. ● Hands-on experience in Solution architecture. ● Oversee technical design and development of mobile and web applications as per requirement specifications and quality requirements. ● Participating in client meetings to elicit requirements and other client-facing activities ● Follow agile methodology, conduct daily stand-up, and sprint planning, and manage the product backlog. ● Good understanding of software architecture and related issues. ● Good knowledge and understanding of industry-standard software design patterns ● Sufficient hands-on experience in at least one software technology area Web/Mobile. In web, ASP.NET MVC, PHP, Node.Js, Angular, and hybrid app development in mobile, iOS/Android development. ● Exposure to cloud engineering is recommended. ● Understanding of Micro-Services architecture. *IMP.: Hands-on with using AI tools like Claude, ChatGPT, Perplexity to build solutions. Should know what is vibe-coding, context engineering and prompt engineering. Ability to teach and lead development teams on using AI tools for improved productivity. Required Candidate profile ● Must have client management experience and team management experience. ● Good understanding of the agile methodology. ● Accountable and responsible for the project's quality and timely delivery, leading to customer satisfaction. ● Document and monitor requirements needed to institute proposed updates ● Propose and establish a framework for necessary contributions from various departments ● Account for possible project challenges on constraints including, risks, time, resources, and scope ● Work closely with project management teams to successfully monitor the progress of initiatives ● Provide detailed specifications for proposed solutions ● Define clear goals for all aspects of a project and manage their proper execution. Job Types: Full-time, Permanent Benefits: Health insurance Provident Fund Ability to commute/relocate: Pimple Soudagar, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): What is your notice period? Work Location: In person Speak with the employer +91 7666399758
Job Summary: We are looking for a highly motivated and skilled Machine Learning Engineer with 1–3 years of experience and a strong interest in Generative AI technologies. The ideal candidate will contribute to the full lifecycle of Generative AI models — from training and optimization to deployment on AWS and inference API development. You will collaborate with a team of engineers and researchers to build cutting-edge AI-powered solutions that have real-world impact. Key Responsibilities: 1. Generative AI Model Development Design, develop, and implement Generative AI models for applications such as text, image, and code generation. Work with large language models (LLMs) or other generative models using frameworks like TensorFlow, PyTorch, and Hugging Face Transformers. Experiment with model architectures, training techniques, and hyperparameter tuning to optimize performance. 2. Model Optimization & Efficiency Apply techniques such as quantization, pruning, and distillation to improve inference speed and reduce resource consumption. Profile and analyze model performance to identify and eliminate bottlenecks. 3. Cloud Deployment on AWS Deploy AI models to AWS using services such as SageMaker, EC2, ECS, or Lambda. Develop scalable and reliable inference pipelines. Use AWS tools for data storage, model management, and monitoring. 4. Inference API Development Design and develop efficient, secure, and scalable RESTful or gRPC APIs to serve deployed AI models. Ensure high availability, maintainability, and performance of APIs. 5. Troubleshooting & Debugging Diagnose and resolve issues related to model performance, deployment, and API functionality. Implement monitoring and logging systems to proactively manage issues. 6. Model Retraining & Continuous Improvement Implement strategies for continuous learning by retraining models with new data and user feedback. Monitor production model performance and trigger retraining workflows as needed. 7. Collaboration & Communication Work closely with ML engineers, data scientists, and software developers to drive project goals. Communicate progress, insights, and challenges effectively with stakeholders. 8. Documentation Create comprehensive documentation for models, training workflows, deployment processes, and APIs. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or a related field. 1–3 years of hands-on experience in machine learning model development and deployment. Sound understanding of Generative AI concepts (e.g., Transformers, GANs, Diffusion Models). Experience with at least one deep learning framework: TensorFlow or PyTorch. Proficiency in Python. Solid knowledge of ML algorithms, data preprocessing, and evaluation metrics. Proven experience in deploying models on AWS. Strong skills in developing and consuming RESTful or gRPC APIs. Familiarity with Git or other version control systems. Excellent problem-solving, communication, and teamwork skills. Preferred Qualifications: Experience working with LLMs and the Hugging Face Transformers library. Knowledge of MLOps practices and related tools. Experience with Docker, Kubernetes, or other containerization technologies. Familiarity with data engineering tools and pipelines. Experience with monitoring tools such as CloudWatch, Prometheus, or Grafana. Contributions to open-source projects or notable personal AI projects. Job Type: Full-time Benefits: Health insurance Provident Fund Ability to commute/relocate: Pimple Soudagar, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): What is your Notice period? Experience: Machine learning: 1 year (Required) Work Location: In person
As a highly skilled and experienced NoSQL Database Architect with over 4 years of expertise in DynamoDB, you will play a crucial role in our team by designing, implementing, and optimizing our database infrastructure. Your main responsibilities will include ensuring performance, scalability, and compliance with data sovereignty requirements. Your deep knowledge of DynamoDB, especially in global table configurations, and your proven experience in migrating large-scale relational databases to NoSQL will be essential for excelling in this role. You will be tasked with designing and implementing DynamoDB database solutions, focusing on global table configurations to meet Australian data sovereignty regulations. Additionally, you will optimize Global Secondary Index (GSI) designs for affiliate performance analytics, guaranteeing single-digit millisecond query performance. Leading the migration of petabyte-scale data from relational systems such as PostgreSQL to NoSQL (DynamoDB) will also be a critical aspect of your role. Furthermore, you will be expected to develop and enforce database best practices and standards, monitor and optimize database performance and scalability, collaborate with development teams to design efficient data models and access patterns, troubleshoot and resolve database issues, and stay up-to-date with the latest DynamoDB features and best practices. To excel in this position, you should possess deep expertise in DynamoDB, including global table configurations, GSI design, and performance tuning. Proven experience in migrating large-scale relational databases to NoSQL databases, specifically at petabyte scale, is crucial. A strong understanding of NoSQL database principles and best practices, experience in data modeling and schema design for NoSQL databases, excellent problem-solving and analytical skills, and strong communication and collaboration abilities are also required. Additionally, holding an AWS Certified Database Specialty certification is a prerequisite for this role. Experience with other NoSQL databases, knowledge of data warehousing and business intelligence concepts, familiarity with data governance and compliance requirements, as well as experience with automation and scripting for database administration tasks would be considered as bonus points for this position.,