AI / ML Engineer

Key Skills

Aartificial intelligence, Apache Hadoop, AWS, Azure, Big Data Technology, Computer Vision (CV), Data science techniques, Database, Google Cloud Platform (GCP), Machine learning techniques, matplotlib, Natural Language Processing (NLP), Neo4J, PyTorch, SPARK Programming, Tableau, TensorFlow

Job Description

Summary:

 As an AI Platform Engineer, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency.

Your typical day will involve working with machine learning, deep learning, neural networks, chatbots, and natural language processing to create innovative solutions.

 Roles & Responsibilities:

• Data Analysis: Lead analytics projects using statistical and ML methods.
• Client Engagement: Partner with clients for analytics solutions; translate data insights into business strategies.
• Strategy: Boost growth by identifying new analytics capabilities.
• Mentorship: Guide junior data scientists; promote continuous learning.
• Collaboration: Work with IT and analysts to integrate data insights.
• R&D: Stay updated in data science; drive team innovation.
• Solution: Create scalable data science solutions aligned with client goals.
• Technical Experience: - Minimum 5 years hands on experience as a Data Scientist - Proficient in Python, SQL; libraries and framework like Tensorflow, PyTorch, Pandas.

• Expertise in statistical modeling, ML, deep learning. Knowledge in Decision Tree, Random Forest, SVM, XGBoost, etc.
• Proficient in using deep learning techniques in NLP, Computer Vision - Experience visualization tools like Matplotlib, Tableau.
• Proficient in at least one cloud IBM, AWS, Azure, or GCP platforms Educational Qualification : - Bachelor’s or master’s degree in Computer Science, Statistics, or a related discipline.
• Good to have skills: Familiarity with big data technologies (e.g., Spark, Hadoop) and graph databases (e.g., Stardog, Neo4j). Understanding of generative AI tools and techniques.
• Familiarity with IBM WatsonX and related technologies.

 Additional Information : Excellent communication, problem-solving skills & ability to work in a collaborative environment.