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Dataviv Technologies - Machine Learning Engineer - Deep Learning

Posted on: 27/08/2025

Job Description

Job Description Machine Learning / Deep Learning Engineer

Location : Gurugram (Work from Office)

Experience : 26 years

Employment Type : Full-time


About the Role :


We are seeking a highly motivated Machine Learning / Deep Learning Engineer who can design, develop, and deploy end-to-end AI solutions. The ideal candidate will have strong expertise in ML/DL, hands-on experience with cloud platforms (AWS / GCP / Azure), solid understanding of data science pipelines, and proven ability to build APIs using FastAPI for scalable deployment.

This is a client-facing, product-focused role where youll collaborate with data scientists, backend engineers, and business teams to bring AI models into production.


Key Responsibilities :


- Design, implement, and optimize ML/DL models for real-world applications (classification, regression, NLP, computer vision, etc.).

- Work with data pipelines : preprocessing, feature engineering, and exploratory data analysis (EDA).

- Deploy ML models on cloud environments (AWS Sagemaker, GCP Vertex AI, Azure ML, or similar).

- Build and maintain FastAPI endpoints for serving models and integrating with front-end and backend systems.

- Collaborate with cross-functional teams to define business problems and translate them into ML solutions.

- Optimize model performance, scalability, and monitoring in production.

- Stay updated with the latest trends in ML, DL, and cloud-native AI services.


Required Skills & Qualifications :


- Bachelors/Masters degree in Computer Science, Data Science, AI/ML, or related field.


Core ML/DL Expertise :


- Proficiency in Python and ML/DL libraries (TensorFlow, PyTorch, scikit-learn).

- Experience with model training, hyperparameter tuning, evaluation, and deployment.


Cloud Knowledge :


- Hands-on with at least one cloud platform (AWS, GCP, or Azure).


- Familiarity with containerization (Docker) and orchestration (Kubernetes) is a plus.


Data Science Knowledge :


- Strong in data preprocessing, feature engineering, and exploratory analysis.

- Understanding of SQL and NoSQL databases.


API Development :

- Experience with FastAPI (preferred) or Flask/Django REST for model deployment.

- Familiarity with CI/CD pipelines, version control (Git), and ML model lifecycle management (MLOps).


Preferred Skills :


- Knowledge of NLP (transformers, LLMs) or Computer Vision (CNNs, object detection).


- Exposure to big data frameworks (Spark, Hadoop).

- Experience in deploying scalable AI solutions for production workloads.


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