AI ML Engineer

Deservely Technologies; Chennai District; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Deservely Technologies is seeking an AI/ML Engineer in India to design, develop, and deploy production-grade ML solutions. The role requires 4–8 years of hands-on experience with Python, ML algorithms and data processing, with strong knowledge of TensorFlow/PyTorch, scikit-learn, Pandas and NumPy.

Cloud platforms (AWS/Azure/GCP), Docker, Kubernetes, and MLOps tooling are highly desirable. You will work across NLP, computer vision, predictive analytics, feature engineering and model performance

Qualifications

• 4–8 years of AI/ML engineering experience.

Responsibilities

• Design, develop and deploy ML/AI solutions.
• Build scalable, production-ready AI apps.
• Train, evaluate and optimize models.

Skills

Python

ML/AI concepts

NLP

Computer vision

Data processing

Model development

Tools

TensorFlow

PyTorch

scikit-learn

Pandas

NumPy

SQL

NoSQL

Apache Spark

AWS

Azure

GCP

Docker

Kubernetes

Git

MLflow

FastAPI

CI/CD

LangChain

LLMs

Job description

Job Description – AI/ML Engineer

Experience: 4–8 Years

Location: Indore/Bengaluru/Hyderabad/Pune/Chennai

Employment Type: Full-Time / Contract / Contract-to-Hire

We are looking for a talented AI/ML Engineer with 4–8 years of experience in designing, developing, and deploying machine learning and artificial intelligence solutions. The ideal candidate should have strong expertise in Python, machine learning algorithms, deep learning, and data processing to build scalable, production-ready AI applications.

The candidate should have hands‑on experience with TensorFlow, PyTorch, scikit-learn, Pandas, NumPy, and model development, training, evaluation, and optimization. Strong knowledge of supervised and unsupervised learning, natural language processing (NLP), computer vision, predictive analytics, feature engineering, and model performance tuning is essential. Experience working with SQL, NoSQL databases, and big data technologies such as Apache Spark is preferred.

Hands‑on experience with AWS, Azure, or GCP, Docker, Kubernetes, Git, MLflow, FastAPI, and CI/CD pipelines for MLOps is highly desirable. Familiarity with LLMs, Generative AI, RAG, vector databases, and LangChain will be an added advantage.

The ideal candidate should possess strong analytical and problem-solving skills, collaborate effectively with cross-functional teams, and develop secure, scalable, and high-performance AI/ML solutions that drive business value and innovation.

Skills: python, ml, databases, ai ml, machine learning, tensorflow, aws