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      Urgent! Artificial Intelligence/Machine Learning Engineer - AWS Cloud Services Job Opening In Bengaluru – Now Hiring Awign Enterprise Pvt ltd
 
                        
                         <p><p>We are seeking a highly skilled AI/ML Engineer with expertise in AWS AI/ML services and a strong understanding of Generative AI using Amazon Bedrock.
The ideal candidate will have experience in building, deploying, and optimizing AI/ML models on AWS, integrating LLMs into applications, and leveraging AWS services for scalable AI solutions.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design, develop, and deploy AI/ML models on AWS, leveraging SageMaker, Bedrock, and related services.<br/></p><p><br/></p><p>- Build LLM-based applications using Amazon Bedrock and fine-tune models for specific use cases.<br/></p><p><br/></p><p>- Implement RAG (Retrieval-Augmented Generation) and integrate vector databases like OpenSearch, Pinecone, or FAISS.<br/></p><p><br/></p><p>- Develop scalable, production-ready ML pipelines using AWS services (Lambda, Step Functions, S3, DynamoDB, etc.).<br/></p><p><br/></p><p>- Utilize Bedrock, SageMaker, and custom fine-tuned models to deliver business-driven AI solutions.<br/></p><p><br/></p><p>- Work with cross-functional teams to integrate ML models into real-world applications.<br/></p><p><br/></p><p>- Ensure AI solutions adhere to best practices for security, compliance, and cost optimization.<br/></p><p><br/></p><p>- Stay updated with the latest trends in GenAI, prompt engineering, and AI model optimization.<br/><br/><b>Required Skills :</b><br/><br/></p><p>- Strong expertise in <b>AWS AI/ML stack  Amazon Bedrock, SageMaker, Lambda, Step Functions, S3, DynamoDB, etc.</b><br/></p><p><br/></p><p>- Experience with <b>Generative AI models (GPT, Claude, Mistral, LLaMA, etc.) and fine-tuning techniques.</b><br/></p><p><br/></p><p>- Hands-on experience in <b>Python, TensorFlow, PyTorch, or Hugging Face.</b><br/></p><p><br/></p><p>- Knowledge of <b>vector databases and embedding models.</b><br/></p><p><br/></p><p>- Experience in building secure and scalable AI applications using AWS.<br/></p><p><br/></p><p>- Familiarity with <b>MLOps practices, CI/CD for ML models, and cloud automation.</b><br/></p><p><br/></p><p>- Strong problem-solving skills and ability to work in a fast-paced environment.<br/><br/><b>Good to Have :</b><br/><br/>- Experience with <b>LangChain, Prompt Engineering, and RAG techniques.</b><br/></p><p><br/></p><p>- Understanding of data governance, AI ethics, and responsible AI practices.<br/></p><p><br/></p><p>- Certification in AWS Machine Learning Specialty/ Associate or relevant AI certifications.</p><br/></p> (ref:hirist.tech)
                      
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Unlock Your Artificial Intelligence Potential: Insight & Career Growth Guide
Real-time Artificial Intelligence Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Artificial Intelligence in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 20538 jobs in India and 1065 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Artificial Intelligence roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Awign Enterprise Pvt ltd is currently hiring and seeking a Artificial Intelligence/Machine Learning Engineer AWS Cloud Services to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Awign Enterprise Pvt ltd adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Artificial Intelligence/Machine Learning Engineer AWS Cloud Services Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Artificial Intelligence/Machine Learning Engineer AWS Cloud Services typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Artificial Intelligence/Machine Learning Engineer AWS Cloud Services interview at Awign Enterprise Pvt ltd, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Awign Enterprise Pvt ltd's products or services and be prepared to discuss how you can contribute to their success.
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