AI/ML Engineer
2 weeks ago
We are seeking an experienced Applied AI/ML Engineer/Data Scientist to join our team for Mumbai/Bengaluru locations. As an Applied AI/ML Engineer, you will be responsible for developing and implementing AI/ML solutions to solve complex Technology Operations and SRE problems. You will work closely with cross-functional teams to understand requirements, design and develop AI/ML models, and deploy them into production.
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.
- 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 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.
- Experience with ETL tools such as Airflow.
- 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/, web frameworks, APIs, and microservices and possess front-end development skills, including HTML, CSS, and JavaScript
- Knowledge of SRE practices
- Experience working with AWS EKS, ECS, RDS and DynamoDB.
- Knowledge of large language models (LLMs) and accompanying toolsets the LLM ecosystem (. Langchain, Vector databases, opensource Hugging Face Models)
- Exposure to cloud automation technologies such as Terraform
- 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.
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