AI Engineer (Haryana)
AI Engineer (Haryana)
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Haryana, India
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Posted: yesterday
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Description
Job Description Job Summary We are seeking a skilled AI Engineer with deep Python proficiency and AWS expertise to build, deploy, and scale AI/ML solutions. You will leverage services like Bedrock for generative AI workflows, collaborating across teams to deliver production
- ready mod els that solve real business challenges. Responsibilities
- Design and develop ML models using Python libraries (e.g., TensorFlow, PyTorch, scikit
- learn) for tasks like predictive analytics, NLP, and computer vision.
- Build end
- to
- end pipelines on AWS, including data ingestion (S3/Glue), training (SageMaker), deployment (Lambda/EC2), and generative AI via Bedrock for custom agents, fine
- tuning, and RAG applications.
- Integrate Bedrock with other AWS services (e.g., Lambda, API Gateway) to create scalable, secure APIs for foundation models like Anthropic Claude or Stability AI.
- Optimize models for performance, cost, and reliability; implement monitoring (CloudWatch) and CI/CD for MLOps.
- Experiment with prompt engineering, model evaluation, and hybrid solutions combining custom ML with Bedrocks managed capabilities. Required Qualifications
- Bachelors/Masters in Computer Science, Data Science, or related field.
- 4+ years in AI/ML engineering, with advanced Python skills for data pipelines, APIs, and ML workflows.
- Hands
- on AWS experience: SageMaker, S3, Lambda, EC2, and specifically Bedrock for generative AI development and deployment.
- Robust ML fundamentals: feature engineering, hyperparameter tuning, evaluation metrics, and deployment best practices.
- Proficiency in SQL/NoSQL, Git, and containerization (Docker) Preferred Skills
- AWS certifications (e.g., Machine Learning Specialty, Bedrock
- focused training).
- Experience with LLMs, vector databases (e.g., Pinecone via Bedrock), and RAG architectures.
- Knowledge of Kubernetes (EKS) and Terraform for infrastructure as code Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying. Apply on Kit Job: kitjob.in/job/4ndurd
- ready mod els that solve real business challenges. Responsibilities
- Design and develop ML models using Python libraries (e.g., TensorFlow, PyTorch, scikit
- learn) for tasks like predictive analytics, NLP, and computer vision.
- Build end
- to
- end pipelines on AWS, including data ingestion (S3/Glue), training (SageMaker), deployment (Lambda/EC2), and generative AI via Bedrock for custom agents, fine
- tuning, and RAG applications.
- Integrate Bedrock with other AWS services (e.g., Lambda, API Gateway) to create scalable, secure APIs for foundation models like Anthropic Claude or Stability AI.
- Optimize models for performance, cost, and reliability; implement monitoring (CloudWatch) and CI/CD for MLOps.
- Experiment with prompt engineering, model evaluation, and hybrid solutions combining custom ML with Bedrocks managed capabilities. Required Qualifications
- Bachelors/Masters in Computer Science, Data Science, or related field.
- 4+ years in AI/ML engineering, with advanced Python skills for data pipelines, APIs, and ML workflows.
- Hands
- on AWS experience: SageMaker, S3, Lambda, EC2, and specifically Bedrock for generative AI development and deployment.
- Robust ML fundamentals: feature engineering, hyperparameter tuning, evaluation metrics, and deployment best practices.
- Proficiency in SQL/NoSQL, Git, and containerization (Docker) Preferred Skills
- AWS certifications (e.g., Machine Learning Specialty, Bedrock
- focused training).
- Experience with LLMs, vector databases (e.g., Pinecone via Bedrock), and RAG architectures.
- Knowledge of Kubernetes (EKS) and Terraform for infrastructure as code Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying. Apply on Kit Job: kitjob.in/job/4ndurd
Highlights
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Company nameOpsTree Solutions
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Job positionAI Engineer (Haryana)
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