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AI / ML Engineer
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 : Large Language Models (LLMs)
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 develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions.
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 : Large Language Models (LLMs)
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 develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work-related problems.
- Develop applications and systems using AI tools and Cloud AI services.
- Implement deep learning and neural networks in solutions.
- Create chatbots and work on image processing tasks.
- Collaborate with team members to provide innovative solutions.
- Stay updated with the latest AI/ML trends and technologies.
- Must To Have Skills: Proficiency in Large Language Models.
- Strong understanding of statistical analysis and machine learning algorithms.
- Experience with data visualization tools such as Tableau or Power BI.
- Hands-on implementing various machine learning algorithms like linear regression, logistic regression, decision trees, and clustering algorithms.
- Solid grasp of data munging techniques including data cleaning, transformation, and normalization.
- The candidate should have a minimum of 3 years of experience in Large Language Models.
- This position is based at our Bengaluru office.
- A 15 years full-time education is required.
More Info
Key Skills
Data Munging Techniques
Chatbots
Large Language Models (LLMs)
About Company
Skills:
Computer Vision, image processing techniques, deep learning frameworks, generative AI models, neural network architectures, cloud AI services, deployment pipelines
Skills:
Tensorflow, Spark, Kafka, Machine Learning, MLops, Deep Learning, Pytorch, Kubernetes, Python, XGBoost, Docker, Nlp, scikit-learn, ONNX, Airflow, MLflow, AI model optimization, anomaly detection, time series forecasting, Cv, Recommendation systems, TensorFlow Serving
Skills:
Matplotlib, Machine Learning, Tableau, Ms Office, Sql, Tensorflow, Database Management, Pandas, Pytorch, Seaborn, Excel, Python, Statistical Analysis, Machine Learning Algorithms, Word, data pipelines, scikit-learn, Powerpoint, data visualization tools, data infrastructure, Data Analysis