Description

Job Description

Responsibilities:
 
- Develop and implement AI/ML models and algorithms to solve business problems.
 
- Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.
 
- Train and evaluate AI/ML models using large datasets.
 
- Train and evaluate AI/ML models to help design test cases , automate coding , design self healing codes , predict defects, identify optimized regression cases, etc.
 
- Apply advanced statistical and ML techniques, including predictive modeling, time series analysis, and optimization algorithms, to extract insights from complex data sets.
 
- Optimize and fine-tune AI/ML models for performance and accuracy.
 
- Design and develop data pipelines to preprocess and transform data for AI/ML models.
 
- Continuous Learning: Stay updated with the latest trends and advancements in data science, machine learning, and related fields, and actively seek opportunities to enhance skills and knowledge.
 
 
 
Requirements:
 
- Bachelor's or master’s degree in computer science, Engineering, or a related field.
 
- 6-9 years of demonstrated experience in applied AI/ML engineering.
 
- Strong programming skills in Python, with experience in developing and maintaining production-level code.
 
- Proficiency in working with large datasets and data preprocessing.
 
-Solid understanding of Software Testing and SRE practices, DevOps and Observability
 
- Solid understanding of AI/ML algorithms and techniques, including deep learning, time series forecasting and natural language processing.
 
- Experience with cloud platforms, such as AWS for deploying and scaling AI/ML models.
 
- Strong problem-solving and analytical skills.
 
- Excellent communication and collaboration skills.
 
- Knowledge of infrastructure operations
 
 
 
Preferred Qualifications:
 
- Experience in backend development, including databases (SQL/NoSQL/Graph), programming languages (Python/Java/Node.js), web frameworks, APIs, and microservices and possess front-end development skills, including HTML, CSS, and JavaScript. Grafana, Splunk, ServiceNow
 
- Experience in Automated software testing and Test Automation Frameworks
 
- Knowledge of large language models (LLMs) , Generative AI and accompanying toolsets the LLM ecosystem (e.g. Langchain, Vector databases, CHATGPT)
 
- Assess and choose suitable LLM tools and models for diverse tasks including but not limited to curating custom datasets and fine-tune LLM with a focus on parameter-efficient, mixture-of-expert, and instruction methods designing and developing advanced LLM prompts, Retrieval-Augmented Generation (RAG) solutions, and Intelligent agents for the LLMs and executing experiments to push the capability limits of LLM models and enhance their dependability

Key Skills
Education

Any Graduate

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