APPSeCONNECT AUTOMATION PRIVATE LIMITED
Location
Kolkatta | India
Job description
Company Overview:
APPSeCONNECT AUTOMATION PRIVATE LIMITED is a leading company in the Software Development industry specializing in innovative solutions in artificial intelligence and machine learning.
Role and Responsibilities:
The AI/ML Engineer will be responsible for designing and developing machine learning programs providing guidance throughout the development process and leveraging technical expertise to work with structured and unstructured data for lead generation and relationshipbased AI/ML models. Key responsibilities include:
- Developing machine learning data platforms and infrastructure for optimal data extraction and transformation from various sources
- Creating prototype AI/ML algorithms using Python and TensorFlow API
- Training AI/ML models and tuning hyperparameters for specific objectives
- Demonstrating relationship capabilities using Spark for inferring relationships between records and data sets
- Working with graph databases and relationshipbased data platforms such as Neo4j Tigergraph Spark GraphFrames or NetworkX
- Collaborating with analysts and team members to validate use cases from a data and opportunity perspective
- Developing models based on IP interaction data across multiple communication channels
- Sourcing data into graphlike database structures from various source systems
- Experience in machine learning natural language processing data crawling scraping and data processing
- Proficiency in Pythonbased ETL/data integration pipelines and big data modeling
- Establishing frameworks for data extraction using APIs and working with cloud technologies such as Azure Data Lake Azure Databricks and Azure
- Web crawling to gather raw data for intermediary and target sets
- Creating and maintaining optimal data pipeline architecture to meet business requirements
- Identifying and implementing process improvements automating manual processes optimizing data delivery and redesigning infrastructure for scalability
- Supporting the development of machine learning platforms and governance frameworks for ML model operationalization
- Mathematical understanding of statistical learning algorithms including reinforcement learning supervised/unsupervised learning and graphical models
Candidate Qualifications:
The ideal candidate should possess a strong background in artificial intelligence machine learning and data engineering with a focus on leveraging technology to solve complex business problems.
Required Skills:
- Machine Learning
- Python
- Data Engineering
- Natural Language Processing
- Big Data
web crawling,tigergraph,neural networks,ml,data analysis,pyspark,networkx,azure databricks,deep learning,azure data lake,spark,data crawling,nlp,python,etl,ai/ml,neo4j,data processing,statistical learning algorithms,tensorflow,big data
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