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Evnek
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Senior AI/ML Engineer

Senior AI/ML Engineer

Evnek

6 years

0 Lacs

chennai tamil nadu india

Posted:1 day ago| Platform:

Apply

Skills Required

ai ml data design cutting learning vision preprocessing training deployment monitoring reinforcement tuning flask containerization aws research integration programming numpy tensorflow model evaluation fastapi sagemaker gcp vertex etl sql collaborative github

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Senior AI/ML Engineer

Experience:

6+ Years

Location:

Chennai

Notice Period:

Immediate Joiner Only

Job Summary

AI Engineer / Data Scientist

Key Responsibilities

Design, train, and evaluate AI/ML models for diverse use cases such as classification, prediction, NLP, computer vision, and Generative AI.
Collaborate with product managers, engineers, and data scientists to conceptualize and deliver AI-driven features and solutions.
Build and optimize
end-to-end ML pipelines
covering data ingestion, preprocessing, training, deployment, and monitoring (MLOps).
Apply advanced techniques such as
transfer learning, reinforcement learning, and fine-tuning of pre-trained models
, with a strong emphasis on
LLMs
and
CNNs
.
Deploy and scale AI models using
APIs (Flask/FastAPI)
and containerization (
Docker
) on major cloud platforms (AWS/GCP).
Proactively monitor, retrain, and optimize models in production to ensure consistent performance and reliability.
Stay updated with the latest AI research, trends, and emerging technologies, evaluating opportunities for integration into business solutions.

Required Skill Set

Strong programming expertise in
Python
with proficiency in
Pandas, NumPy, Scikit-learn
, and deep learning frameworks (
TensorFlow / PyTorch
).
In-depth knowledge of
machine learning algorithms
(supervised/unsupervised) and
deep learning architecture
(CNNs, RNNs, Transformers).
Proven experience in
fine-tuning pre-trained models
, especially
LLMs/NLP-based models
.
Solid skills in
data preprocessing, feature engineering
, and
model evaluation/optimization
.
Practical exposure to
model deployment
(Flask, FastAPI) and
containerization (Docker)
.
Hands-on experience with
cloud platforms
such as
AWS (SageMaker, Lambda, S3)
or
GCP (Vertex AI, Cloud Run)
.
Familiarity with
ETL pipelines
, handling
structured & unstructured data
, and basic
SQL querying
.
Strong ability to work independently as well as in collaborative team environments.

Preferred Qualifications

Bachelor’s or master’s degree in computer science
, Artificial Intelligence, Data Science
, or related fields.
Prior experience building and deploying AI systems in production environments.
Demonstrated contributions via
research papers, GitHub projects, or open-source initiatives
.

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