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Urgent! goML.io - Machine Learning Architect Job Opening In India, India – Now Hiring Neuralgo
<p><p><b>Job Summary : </b></p><p><br/></p><p>We are looking for a highly skilled Technical Architect with expertise in AWS, Generative AI, AI/ML, and scalable production-level architectures.<br/><br/></p><p>The ideal candidate should have experience handling multiple clients, leading technical teams, and designing end-to-end cloud-based AI solutions with an overall experience of 9-12 years.<br/>This role involves architecting AI/ML/GenAI-driven applications, ensuring best practices in cloud deployment, security, and scalability while collaborating with cross-functional Responsibilities : Leadership & Architecture : </b></p><p><br/></p><p>- Design and implement scalable, secure, and high-performance architectures on AWS for </p><p>AI/ML applications.</p><p><br/></p>- Architect multi-tenant, enterprise-grade AI/ML solutions using AWS services like SageMaker, </p><p>Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions.<br/><br/></p><p>- Lead full lifecycle development of AI/ML/GenAI solutions - from PoC to production - ensuring </p><p>reliability and performance.<br/><br/></p><p>- Define and implement best practices for MLOps, DataOps, and DevOps on AWS.<br/><b><br/></b></p><p><p><b>AI/ML & Generative AI Expertise : </b></p><p><br/></p><p>- Design Conversational AI, RAG (Retrieval-Augmented Generation), and Generative AI architectures using models like Claude (Anthropic), Mistral, Llama, and Titan.</p><p><br/></p>- Optimize LLM inference pipelines, embeddings, vector search, and hybrid retrieval strategies for AI-based applications.<br/><br/></p><p>- Drive ML model training, deployment, and monitoring using AWS SageMaker and AI/ML & Infrastructure Management : </b></p><p><br/></p><p>- Architect event-driven, serverless, and microservices architectures for AI/ML applications.</p><p><br/></p>- Ensure high availability, disaster recovery, and cost optimization in cloud deployments.<br/><br/></p><p>- Implement IAM, VPC, security best practices, and & Client Engagement : </b></p><p><br/></p><p>- Lead and mentor a team of ML engineers, Python Developer and Cloud Engineers.</p><p><br/></p>- Collaborate with business stakeholders, product teams, and multiple clients to define </p><p>requirements and deliver AI/ML/GenAI-driven solutions.<br/><br/></p><p>- Conduct technical workshops, training sessions, and knowledge-sharing & Business Strategy : </b></p><p><br/></p><p>- Manage multiple client engagements, delivering AI/ML/GenAI solutions tailored to their </p><p>business needs.</p><p><br/></p>- Define AI/ML/GenAI roadmaps, proof-of-concept strategies, and go-to-market AI solutions.<br/><br/></p><p>- Stay updated on cutting-edge AI advancements and drive innovation in AI/ML Skills & Technologies : </b></p><p><b><br/></b></p><p><b>Cloud & DevOps : </b></p><p><br/></p><p>- AWS Services : Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, S3, ECS, Fargate, OpenSearch, RDS</p><p><br/></p><p>- MLOps : SageMaker Pipelines, CI/CD (CodePipeline, GitHub Actions, Terraform, CDK)<br/><br/></p><p>- Security : IAM, VPC, CloudTrail, GuardDuty, KMS, & GenAI : </b></p><p><br/></p><p>- LLMs & Generative AI : Bedrock (Claude, Mistral, Titan), OpenAI, Llama</p><p><br/></p>- ML Frameworks : TensorFlow, PyTorch, LangChain, Hugging Face<br/><br/></p><p>- Vector DBs : OpenSearch, Pinecone, FAISS<br/><br/></p><p>- RAG Pipelines, Prompt Engineering, Architecture & Scalability :</b></p><p><br/></p><p>- Serverless & Microservices Architecture</p><p><br/></p>- API Design & GraphQL<br/><br/></p><p>- Event-Driven Systems (SNS, SQS, EventBridge, Step Functions)<br/><br/></p><p>- Performance Optimization & Auto Scali</p><br/></p> (ref:hirist.tech)
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Unlock Your goML io Potential: Insight & Career Growth Guide
Real-time goML io Jobs Trends in India, 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 goML io in India, 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 564 jobs in India and 10 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in goML io roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Neuralgo is currently hiring and seeking a goML.io Machine Learning Architect 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 Neuralgo adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a goML.io Machine Learning Architect Jobs India varies, but the pay scale is rated "Standard" in India. 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 goML.io Machine Learning Architect 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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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your goML.io Machine Learning Architect interview at Neuralgo, 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 Neuralgo's products or services and be prepared to discuss how you can contribute to their success.
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