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ATEAM INFOSOFT SOLUTIONS PRIVATE LIMITED

Thejaswini , Technopark Phase I Technopark Rd, Technopark Campus 695581 , 695581

AI/ML Engineer

Closing Date:30,Sept 2026
Job Published: 01,Sept 2026

Brief Description

We are looking for a Python-proficient AI/ML Engineer to join our team and help build intelligent, AI-driven features for our products. In this role, you will design and train machine learning models, work with modern tools such as LLMs and Generative AI, and take your work from development to live deployment — collaborating closely with data scientists, engineers, and product teams.

Experience: 7+ Years
Employment Type: Contract
Contract Duration: 3–6 Months
Location: Remote

Key Responsibilities

  • Build and train machine learning and deep learning models using Python
  • Prepare and analyze large datasets for modeling
  • Deploy models to production with a focus on scalability and performance
  • Apply LLMs, NLP, and Computer Vision to add AI/GenAI capabilities to our products
  • Write clean, well-documented code following Git and CI/CD best practices
  • Collaborate with engineers and product managers to shape technical solutions
  • Stay current with emerging AI/ML tools and bring new ideas to the team

What We're Looking For

  • Strong hands-on Python skills with solid programming fundamentals
  • Experience building and fine-tuning ML/DL models
  • Working knowledge of data preprocessing, feature engineering, and statistics
  • Some experience deploying ML models to production
  • Familiarity with LLMs, NLP, or Computer Vision
  • Working knowledge of Git and CI/CD pipelines
  • Strong problem-solving and cross-functional collaboration skills

Key Skills: Python · TensorFlow/PyTorch · LLMs & Prompt Engineering · NLP · Computer Vision · Git & CI/CD

Preferred Skills

  • Strong proficiency in Python
  • Hands-on experience with Machine Learning and Deep Learning
  • Experience with TensorFlow and/or PyTorch
  • Knowledge of Scikit-learn, NumPy, and Pandas
  • Practical experience with LLMs and Generative AI
  • Knowledge of Prompt Engineering, RAG, and AI APIs
  • Familiarity with NLP and Natural Language Processing techniques
  • Knowledge of Computer Vision and OpenCV
  • Experience in data preprocessing, feature engineering, and model evaluation
  • Experience with ML model deployment and REST APIs
  • Knowledge of FastAPI or Flask
  • Familiarity with Docker and CI/CD pipelines
  • Working knowledge of Git/GitHub/GitLab
  • Familiarity with Cloud platforms such as AWS, Azure, or GCP
  • Knowledge of Vector Databases such as FAISS, Pinecone, or Chroma is an advantage
  • Understanding of MLOps and production ML workflows is an added advantage