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Lead Engineer Gurgaon

Key Management Group -
Gurugram, Haryana

Apply Now

Job details

Qualifications

BCS
TensorFlow
CI/CD
ASP.NET
Azure
Law
Computer Science
PyTorch
C#
NumPy
Microsoft SQL Server
Git
Apache Hive
MongoDB
.NET
Master's degree
Application development
SQL
MCA
Pandas
OOP
Bachelor's degree
SVN
PostgreSQL
Continuous integration
Deep learning
SciPy
Forecasting
Scripting
APIs
Unit testing
Data science
AI
TFS
Communication skills
Python
Hadoop

Full job description

Lead Engineer Gurgaon | Job Code #00005148

Experience: 10 - 12 Years

Technical Skills

5+ years of Data Engineering.
2+ years of experience managing small team of Data Engineers, Data Scientists & ML/AI engineers.
Track record of delivering and productionizing end-to-end data projects at enterprise scale.
Ability to efficiently write and guide team on data pre-processing and ETL pipelines with consistency, veracity, and reproducibility.
Hands-on experience of application development using VS 2022, .NET 3.1 & above, ASP.Net, C#, Web services, Web API, SQL Server 2016 & above.
Good computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance.
Experienced in developing and deploying cloud-native applications, implementing CI/CD pipelines, and ensuring compliance with industry standards.
Any Source Control configuration among TFS, GIT, SVN, Continuous Integration, Logging Frameworks.

Essential Skills

Excellent communication skills.
Strong teamwork and interpersonal skills.
Experience in working as Technical mentor to team members and undertaking code reviews.
Good Documentation skills.
Strong programing skills.
Structured approach to team handling.

Desirable Skills

Experience of LLM development lifecycle, from problem definition and data preparation to model training, evaluation, and deployment.
Experienced in ML.NET v2/3, NimbusML/ Numpy / Scipy / Pandas and Python with working knowledge of Data frameworks such as PySpark (MLlib)/HIVE/HADOOP.
Experienced in Data Science projects (Risk Modeling, Predictive/Econometric Modeling, Recommender systems, and Forecasting).
Experience in Deploying LLMs to production environments and monitor their performance for accuracy, fairness, and efficiency.
Experience of working with Deep Learning libraries such as Tensorflow / PyTorch.
Programming/scripting language proficiency (Implementation experience in SQL, Python, PySpark, Databricks, Azure).
Experience with Unit Testing Framework & developer tools like FxCop, Firebug, and ReSharper.
Experience in other DBs like MongoDB, My SQL, and Postgres.

Educational Requirements

Bachelor’s Degree in Computer Science/Engineering, BCA, MCA.

Job Responsibilities

As a full-stack lead engineer, you love solving business problems. You work with business leads and analysts to understand the business domain and engage with fellow engineers to build data products that empower better decision-making. Your responsibilities would include:

Oversee the technologies, tools, and techniques used within the team.
Ingest, analyze, transform, and load (ETL) data from various sources into datalake, maintaining efficient pipelines for data preprocessing, training, and inference.
Work collaboratively with data scientists, analysts, and other engineers to translate data needs into technical solutions.
Ensure that development standards, policies, and procedures are adhered to.
Work closely with peers in the business to fully understand the business process and requirements.
Ensure that all software developed within your team satisfies the business requirements as specified.
Drive change to implement efficient and effective strategies.
Maintenance, debugging, and problem-solving.
Show flexibility to respond to the changing needs of the business.

Apply Now

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