Role: Lead AI Engineer
Location : Bangalore/ Hyderabad
Experience : 68 Years
Interview Type : F2F
Job Description :
Mandatory Skill Set
1. Python :
a. Develop test and maintain software applications using Python.
b. Write clean maintainable and efficient code following best practices and coding standards.
c. Exposure to version control systems such as Git/Gerrit
d. Familiarity with agile development methodologies.
2. Knowledge of Cloud
a. Certified as a cloud engineer on at least one major cloud platform ( Azure AWS GCP)
b. Experience in libraries such as TensorFlow PyTorch scikitlearn and MLflow.
c. model training model testing
3. Machine Learning and MLOPs
a. Experience in libraries such as TensorFlow PyTorch scikitlearn and MLflow.
b. Experience with MLOps: Proficiency in MLOps tools and frameworks including Kubernetes Docker Jenkins and CI/CD pipelines. Familiarity with deploying models on any one platform (AWS GCP or Azure.)
c. Experience with Explainable AI frameworks.
4. Data Science
a. Experience with EDA and ability to analyze complex data sets to identify trends patterns and insights that drive business decisions.
b. Have a strong understanding of feature engineering model training model testing feature stores
c. Experience with data visualization tools such as Tableau Power BI or similar.
5. Generative AI
a. Hands on experience in developing basic applications using popular Generative AI models like Open AI GPT Gemini Llama Bedrock etc.
b. Hands on experience in developing RAG based solutions using frameworks like LangChain
c. Experience in setting up vector databases. (Experience with knowledge graphs is highly desired)
6. Databases and Data Engineering
a. Familiarity with databases and data engineering concepts.
b. Working knowledge of SQL and RDBMS
c. Develop and maintain data pipelines to ensure accurate and timely data collection and processing.
d. Knowledge of big data technologies such as Hadoop Spark or Kafka.
Desired Skills
1. Python:
a. Proficient in using Python libraries such as NumPy and Pandas for data manipulation and analysis.
b. Proficiency with Flask and Django for developing web applications and REST APIs.
c. Familiarity with libraries such as BeautifulSoup and Sy for web sing.
d. Understanding of Matplotlib Seaborn and Plotly for data visualization.
2.Knowledge of Cloud :
a. Hands on familiarity with any one cloud based ML platforms (Azure ML Studio Sagemaker Vertex AI)
3.Machine Learning and MLOPS
a. Experience with cognitive ai frameworks (computer vision NLP conversational ai)
b. Must be familiar with ideas of responsible/ethical ai and ways of implementing these concepts into a solution.
4.Data Sceince
c. Experience with data visualization tools such as Tableau Power BI or similar.
5.Generative AI
a. Familiarity with generative AI and advanced neural network architectures.
b. Familiarity with concepts around Agentic workflow design
mlops,azure,data science,artificial intelligence,cloud (azure, aws, gcp),cloud,generative ai,gcp,machine learning,natural language processing,computer vision,data visualization (tableau, power bi),big data technologies (hadoop, spark, kafka),databases and data engineering,aws,python,sql,vertex
Lead AI Engineer
