5 Aws Ai Jobs

As a Machine Learning Engineer at Ergobite, you will be responsible for developing and deploying machine learning models using TensorFlow and/or PyTorch to create efficient and scalable solutions. Your role will involve implementing machine learning models and preprocessing tasks with Scikit-learn to optimize performance across various applications. You will have the opportunity to apply supervised and unsupervised learning algorithms like SVM and Decision Trees and design deep learning architectures such as CNNs and RNNs to address complex challenges effectively. In this role, you will conduct research and experiments with reinforcement learning techniques to enhance our capabilities. Additionally, you will contribute to the design and development of AI systems by leveraging large language models (LLMs) and advanced AI techniques. To qualify for this position, you should hold a Bachelor's or Master's degree in Engineering, Computer Science, or a related field. You must have a minimum of 3 years of Python programming experience and hands-on expertise with TensorFlow or PyTorch. Proficiency in Scikit-learn and deep learning methodologies is essential, along with experience in tools like Keras, Pandas, Numpy, and Large Language Models (LLMs) such as GPT for natural language processing and generation. Knowledge of data preprocessing techniques, feature engineering, and model evaluation metrics will be crucial for success in this role. Familiarity with version control systems, particularly Git, will also be advantageous. Preferred skills for this position include exposure to cloud-based AI development platforms like Google Cloud AI, AWS AI, or Azure AI. Knowledge of optimization techniques to enhance AI model performance and understanding of deep learning architectures like CNNs, RNNs, and transformers would be beneficial. Join us at Ergobite to be part of a dynamic team where you can apply your expertise in machine learning to drive innovation and solve real-world challenges.,

As the Director of AI Practice at Mirketa Inc., you will be at the forefront of defining and executing our AI strategy. Your role will involve leading our AI initiatives, driving innovation, and building a high-impact AI practice from scratch. We are seeking a hands-on leader with a strong technical background in AI/ML, an entrepreneurial mindset, and the ability to strike a balance between strategic vision and execution. Your responsibilities will include developing the strategic roadmap for our AI practice, staying abreast of AI trends and tools to ensure our competitiveness, and creating AI solutions within the Salesforce ecosystem and other platforms. You will be tasked with hiring and nurturing a high-performing AI team, providing training on AI technologies, and developing AI-driven solutions tailored to enterprise clients. Furthermore, you will support pre-sales efforts by assisting the sales team with client presentations, proposal development, and PoCs. Collaborating with marketing, you will craft AI service propositions and engage closely with customers to align solutions with their business outcomes. To excel in this role, you should possess 12+ years of industry experience with a robust foundation in AI/ML technologies such as deep learning, NLP, predictive analytics, and generative AI. Proficiency in AI frameworks like TensorFlow, PyTorch, and cloud-based AI platforms such as AWS AI and Google Vertex AI, along with familiarity with Salesforce AI offerings, will be advantageous. Leadership skills, project management capabilities, and a knack for supporting pre-sales activities are also essential attributes. In return, Mirketa Inc. offers you a leadership position in shaping our AI vision and practice, an entrepreneurial work environment with significant ownership, the opportunity to work on cutting-edge AI technologies, and a flexible and supportive work culture. Additionally, a competitive compensation package awaits the successful candidate.,

Hiring For Top IT Company- Designation: Python Developer Skills: Python + Pyspark Location :Bang/Mumbai Exp: 5-8 yrs Best CTC 9783460933 9549198246 9982845569 7665831761 6377522517 7240017049 Team Converse

Responsibilities Design, develop, and deploy scalable AI/ML solutions using AWS services such as Amazon Bedrock, SageMaker, Amazon Q, Amazon Lex, Amazon Connect, and Lambda. Implement and optimize large language model (LLM) applications using Amazon Bedrock, including prompt engineering, fine-tuning, and orchestration for specific business use cases. Build and maintain end-to-end machine learning pipelines using SageMaker for model training, tuning, deployment, and monitoring. Integrate conversational AI and virtual assistants using Amazon Lex and Amazon Connect, with seamless user experiences and real-time inference. Leverage AWS Lambda for event-driven execution of model inference, data preprocessing, and microservices. Design and maintain scalable and secure data pipelines and AI workflows, ensuring efficient data flow to and from Redshift and other AWS data stores. Implement data ingestion, transformation, and model inference for structured and unstructured data using Python and AWS SDKs. Collaborate with data engineers and scientists to support development and deployment of ML models on AWS. Monitor AI/ML applications in production, ensuring optimal performance, low latency, and cost efficiency across all AI/ML services. Ensure implementation of AWS security best practices, including IAM policies, data encryption, and compliance with industry standards. Drive the integration of Amazon Q for enterprise AI-based assistance and automation across internal processes and systems. Participate in architecture reviews and recommend best-fit AWS AI/ML services for evolving business needs. Stay up to date with the latest advancements in AWS AI services, LLMs, and industry trends to inform technology strategy and innovation. Prepare documentation for ML pipelines, model performance reports, and system architecture. Qualifications we seek in you: Minimum Qualifications Proven hands-on experience with Amazon Bedrock, SageMaker, Lex, Connect, Lambda, and Redshift. Strong knowledge and application experience with Large Language Models (LLMs) and prompt engineering techniques. Experience building production-grade AI applications using AWS AI or other generative AI services. Solid programming experience in Python for ML development, data processing, and automation. Proficiency in designing and deploying conversational AI/chatbot solutions using Lex and Connect. Experience with Redshift for data warehousing and analytics integration with ML solutions. Good understanding of AWS architecture, scalability, availability, and security best practices. Familiarity with AWS development, deployment, and monitoring tools (CloudWatch, CodePipeline, etc.). Strong understanding of MLOps practices including model versioning, CI/CD pipelines, and model monitoring. Strong communication and interpersonal skills to collaborate with cross-functional teams and stakeholders. Ability to troubleshoot performance bottlenecks and optimize cloud resources for cost-effectiveness Preferred Qualifications: AWS Certification in Machine Learning, Solutions Architect, or AI Services. Experience with other AI tools (e.g., Anthropic Claude, OpenAI APIs, or Hugging Face). Knowledge of streaming architectures and services like Kafka or Kinesis.

Hiring For Top IT Company- Designation: Python Developer Skills: AWS SDK +AI services integration Location :Pune/Chennai Exp: 6-8 yrs Best CTC Surbhi:9887580624 Anchal:9772061749 Gitika:8696868124 Shivani:7375861257 Team Converse