Ai/Ml Engineer

Job Description: AI/ML Engineer (5–7 Years) – Pune

Position:

AI/ML Engineer Experience:

5–7 years Location:

Pune Employment Type:

Full-time

About the Role: We are seeking a highly skilled AI/ML Engineer with strong expertise in

Python

,

Machine Learning

,

Deep Learning

,

Computer Vision

,

NLP

,

Generative AI

,

LLMs

, and

LLM fine‑tuning

. The ideal candidate should also bring foundational knowledge of

Electrical concepts

and an academic background in

Electrical or Mechanical Engineering

.

Key Responsibilities: Design, develop, and deploy scalable

Machine Learning

and

Deep Learning

models. Build and optimize

Computer Vision

solutions for classification, detection, and automation tasks. Work on

NLP pipelines

, including text classification, entity extraction, summarization, and language modeling. Implement and fine‑tune

Large Language Models (LLMs)

for domain‑specific tasks. Develop and experiment with

Generative AI

models (GANs, diffusion models, prompt engineering, etc.). Write clean, efficient, and production‑ready

Python

code. Collaborate with engineering teams to integrate AI models into products or systems. Conduct data preprocessing, feature engineering, and performance optimization. Apply engineering fundamentals and electrical concepts to build AI solutions relevant to industrial use cases. Document models, experiments, and workflows clearly and thoroughly. Required Skills & Qualifications: Technical Skills Strong proficiency in

Python

and ML frameworks such as

TensorFlow

,

PyTorch

,

scikit‑learn

, etc. Hands‑on experience with

Machine Learning

,

Deep Learning

, and statistical modeling. Expertise in

Computer Vision

(OpenCV, CNNs, segmentation, OCR, object detection). Practical experience with

NLP pipelines

and transformer-based models (BERT, GPT, T5, LLaMA, etc.). Experience with

Generative AI

, model training/fine‑tuning, prompt engineering. Deep understanding of

LLMs

and familiarity with

fine‑tuning

and

RAG

workflows. Knowledge of

Electrical concepts

and ability to apply engineering principles to AI/ML use cases. Strong grounding in

Electrical/Mechanical Engineering

(academic degree or practical experience). Soft Skills Strong analytical and problem‑solving abilities. Ability to work in a fast‑paced, collaborative environment. Excellent written and verbal communication skills.

Preferred Qualifications: Bachelor’s or Master’s in

Electrical Engineering

,

Mechanical Engineering

,

Computer Science

, or related fields. Experience with cloud platforms (AWS, Azure, GCP). Familiarity with MLOps tools such as

Docker

,

MLflow

,

Kubeflow

, or

Airflow

.

Why Join Us? Opportunity to work with cutting‑edge

AI and Generative AI technologies

. Collaborative, innovation-driven work environment. Career growth and continuous learning opportunities.