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AI / ML Engineer
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- Posted 21 days ago
- Be among the first 10 applicants
Job Description
Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Machine Learning Operations
Good to have skills : NA
Minimum 5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve creating production-ready pipelines, ensuring the quality of applications, and integrating generative AI models into solutions. You will also explore various AI methodologies, including deep learning and image processing, to enhance system capabilities and performance.
The ideal candidate should bring a comprehensive background with 6-8 years of experience in data analysis, software development, or related fields, including a minimum of 3 years specifically dedicated to MLOps practices.
Roles & Responsibilities:
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Machine Learning Operations
Good to have skills : NA
Minimum 5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve creating production-ready pipelines, ensuring the quality of applications, and integrating generative AI models into solutions. You will also explore various AI methodologies, including deep learning and image processing, to enhance system capabilities and performance.
The ideal candidate should bring a comprehensive background with 6-8 years of experience in data analysis, software development, or related fields, including a minimum of 3 years specifically dedicated to MLOps practices.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate knowledge sharing and mentoring within the team to foster a collaborative environment.
- Analyze project requirements and design scalable AI solutions that meet business needs.
- Must To Have Skills: Proficiency in Machine Learning Operations.
- Proficiency in MLOps tools (Sagemaker or Databricks) , CI/CD practices, and monitoring solutions.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong understanding of AI model deployment and monitoring.
- Strong software development skills, including familiarity with programming in R, Python, and possibly SAS.
- Knowledge of cloud automation and orchestration tools, with a preference of AWS
- Knowledge of data science concepts, machine learning algorithms, RESTful APIs, HTTP requests, JSON, and data exchange formats.
- Familiarity with containerization technologies like Docker and Kubernetes & big data technologies (e.g., Hadoop, Spark).
- Ability to work with various programming languages, including Python and R.
- Experience in package management, dependency tracking, and version control systems.
- Understanding of data modeling, data engineering, and ETL processes.
- The candidate should have minimum 5 years of experience in Machine Learning Operations.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
More Info
Key Skills
HTTP requests
Data exchange formats
Dependency tracking
Monitoring solutions
ETL processes
Machine Learning Operations
AI model deployment and monitoring
Data science concepts
About Company
Skills:
Matplotlib, Hadoop, Power Bi, data mining, Big Data Technologies, Tableau, Google Cloud, Spark, Azure, Python, AWS, Machine Learning Algorithms, data visualization tools, R, MLOps practices, Statistical Modeling, cloud-based data platforms, feature engineering
Skills:
containerization , Apis, Microservices, Terraform, Helm, AI Agents Workflow Integration, RAG workflows, Context engineering, Agents orchestration, Monitoring and debugging, Open-source models, Cloud-native systems, Infrastructure as code, CI/CD, Serverless, Agentic solutions
Skills:
Apache Spark, Sql, Tensorflow, Pytorch, Databricks, Python, Machine Learning Algorithms, model versioning, deep learning frameworks, Lakehouse architectures, cloud platforms, MLflow, Monitoring, MLOps practices, Statistical Modeling, drift detection, CI CD for ML, automated retraining
Skills:
snowflake , Ml, Data Modeling, Devops, Full Stack Development, Machine Learning, Advanced Analytics, Shopify, Machine Learning Algorithms, and bias checks for AI models, Validation, Python-based ML development, Statistics, Data, Ai, Adobe, Mobile, Salesforce, Blue Yonder, Explainability, Agile Scrum delivery environments
Skills:
data engineering , model development , Deep Learning, Numpy, Pandas, MLops, Etl, Pytorch, Python, LLMOps, LangChain, Large-scale Data Processing, Agentic AI, LangGraph