Data Engineer
1 day ago
Job Title: Data, AI & Data Engineering Instructor
Location: Mohali
Experience Required: 2–3 years
Employment Type: Full-Time
About the Role
We are seeking a highly skilled
Data, AI, and Data Engineering Instructor
who can train
working professionals
and collaborate directly with
clients
to understand their business requirements and deliver customized data-driven solutions. The ideal candidate will have strong hands-on expertise in
data science, AI, and data engineering
, along with the ability to communicate effectively with corporate teams and adapt content for professional learners.
Key Responsibilities
- Deliver impactful training sessions for
corporate professionals
on
Data Science, Machine Learning, Artificial Intelligence, and Data Engineering
topics. - Work closely with
clients
to identify business needs, design relevant technical learning programs, and support solution implementation. - Lead
corporate training programs, workshops, and consulting sessions
tailored for professionals in the data and AI domain. - Take ownership of
client engagements
, including requirement gathering, project understanding, and technical delivery. - Develop and update
curriculum content, case studies, and hands-on projects
that align with real-world business scenarios. - Mentor professionals on applying data-driven strategies to solve organizational challenges.
- Support clients in implementing and optimizing
data pipelines, AI models, and analytics workflows
. - Stay current with emerging technologies in
AI, Big Data, Cloud, and Data Engineering
to ensure up-to-date training and consulting practices.
Required Skills & Qualifications
- Bachelor's or Master's degree in
Computer Science, Data Science, Artificial Intelligence, or a related field
. - 2–3 years of experience
in
Data Science, Data Engineering, or AI consulting/training
roles. - Proven experience in
corporate training or client-facing roles
. - Strong proficiency in:
- Programming:
Python, SQL - Data Science Libraries:
NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch - Data Engineering Tools:
Apache Spark, Airflow, Kafka, or similar frameworks - Databases:
MySQL, PostgreSQL, MongoDB, or equivalent data stores - Cloud Platforms:
AWS, Azure, or Google Cloud (S3, BigQuery, Redshift, Dataflow) - Visualization Tools:
Power BI, Tableau, Matplotlib, Seaborn - Deep understanding of
ETL/ELT pipelines, data warehousing, and machine learning model deployment
. - Excellent communication and presentation skills for
professional and executive-level audiences
. - Ability to manage multiple client engagements and deliver training outcomes on time.
Preferred Qualifications
- Experience in
corporate training, consulting, or professional development programs
. - Exposure to
MLOps
,
AI model deployment
, and
CI/CD for ML pipelines
. - Knowledge of
data governance, data quality, and compliance frameworks
. - Professional certifications such as
AWS Data Engineer, Azure Data Scientist, or Google Cloud AI Engineer
.
What We Offer
- Competitive compensation with performance-based incentives.
- Opportunities for
professional growth and certification sponsorship
. - Work with leading
corporate clients and professional learners
across industries. - Collaborative and innovative environment that values
practical application and impact-driven learning
.
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