Job Title : Engineer (AI/ML)

Experience : 5-8 Years

Location : Gurugram

Industry Preference : AI / ML / Data Engineering / Technology

Job Description :

We are seeking an experienced Data Engineer (AI/ML) with strong software engineering fundamentals and hands-on expertise in AI frameworks, machine learning model development, and scalable data engineering solutions. The ideal candidate will be responsible for designing, developing, and implementing AI/ML models, building data pipelines, managing large datasets, and collaborating with cross-functional teams to deliver intelligent data-driven solutions.

Key Responsibilities :

- Design, develop, and implement scalable AI/ML models and data-driven solutions.

- Build, optimize, and maintain robust data pipelines for structured and unstructured datasets.

- Work on data collection, preprocessing, transformation, feature engineering, and model-ready datasets.

- Collaborate with data scientists, AI engineers, software developers, and business teams to deliver AI-based solutions.

- Develop and deploy machine learning models into production environments.

- Implement model training, evaluation, optimization, and performance monitoring processes.

- Work with large-scale data processing frameworks and cloud-based data platforms.

- Develop APIs and integrate AI/ML solutions into enterprise applications.

- Apply best practices for data quality, governance, security, and performance optimization.

- Research and implement modern AI technologies, frameworks, and tools.

- Troubleshoot data pipelines, ML workflows, and production-related issues.

Required Skills & Experience :

- 5-8 years of experience in Data Engineering, AI/ML Engineering, or related roles.

- Strong hands-on experience in machine learning model development and deployment.

- Experience working with AI/ML frameworks such as :

1. TensorFlow

2. PyTorch

3. Scikit-learn

4. Keras or similar frameworks

- Strong programming skills in :

1. Python

2. SQL

3. Data Processing Libraries

- Experience designing and developing ETL/ELT pipelines.

- Strong understanding of :

1. Machine Learning Algorithms

2. Deep Learning Concepts

3. Feature Engineering

4. Model Training & Optimization

5. Data Modeling

- Experience working with large datasets and distributed data processing.

- Knowledge of cloud platforms and data services (AWS / Azure / GCP preferred).

- Understanding of MLOps practices, CI/CD pipelines, and model lifecycle management.

- Strong software engineering fundamentals including coding standards, debugging, and system design.

- Excellent analytical thinking and problem-solving abilities.

Preferred Skills :

- Experience with Generative AI, LLMs, NLP, or Computer Vision solutions.

- Exposure to Big Data technologies such as Spark, Hadoop, or Databricks.

- Experience with Docker, Kubernetes, and cloud deployments.

- Knowledge of data warehousing and modern data platforms.

- Experience working in Agile development environments.

Key Skills :

Data Engineering | AI/ML | Machine Learning | Python | SQL | TensorFlow | PyTorch | ML Models | Data Pipelines | ETL | MLOps | Cloud Platforms | Big Data | Deep Learning | Software Engineering