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Aiml Engineer

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Onsite

Aiml Engineer

NexusLink Services India Pvt Ltd

Aiml Engineer

Skills

Google Cloud PlatformSQL QueriesDeep LearningDockerFlaskPythonData ScienceNumPypandasKerasPyTorchTensorFlowMachine LearningAIAWSGitHubNLP / Natural Language ProcessingFastAPIApache AirflowAzure

8 months ago

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Important information


Contract type:

Permanent

Location:

Orchha, Madhya Pradesh 472246, India

Work mode:

Onsite

Published on:

8 August 2026

What they need


Job Summary We are looking for a Data Scientist – AI/ML who has hands-on experience in building, training, fine-tuning, and deploying machine learning and deep learning models. The ideal candidate should be comfortable working with real-world datasets, collaborating with cross-functional teams, and communicating insights and solutions to clients.

Experience: Fresher to 5 Years

Location: Ahmedabad

Employment Type: Full-Time

Key Responsibilities

Develop, train, and optimize Machine Learning and Deep Learning models

Perform data cleaning, preprocessing, and feature engineering

Fine-tune ML/DL models to improve accuracy and performance

Deploy models into production using APIs or cloud platforms

Monitor model performance and retrain models as required

Work closely with clients to understand business problems and translate them into AI/ML solutions

Present findings, model outcomes, and recommendations to stakeholders

Collaborate with data engineers, developers, and product teams

Document workflows, models, and deployment processes

Required Skills & Qualifications Strong understanding of Machine Learning concepts (Supervised, Unsupervised learning)

Hands-on experience with ML algorithms (Linear/Logistic Regression, Decision Trees, Random Forest, XGBoost, etc.)

Experience with Deep Learning frameworks (TensorFlow / PyTorch / Keras)

Proficiency in Python and AI/ML libraries (NumPy, Pandas, Scikit-learn)

Experience in model deployment using Flask/FastAPI, Docker, or cloud platforms (AWS/GCP/Azure)

Understanding of model fine-tuning and performance optimization

Basic knowledge of SQL and data handling

Good client communication and documentation skills

Good to Have

Experience with NLP, Computer Vision, or Generative AI

Exposure to MLOps tools (MLflow, Airflow, CI/CD pipelines)

Experience working on live or client-based AI projects

Kaggle, GitHub, or portfolio showcasing AI/ML projects

Education

Bachelor’s / Master’s degree in Computer Science, Data Science, AI/ML, or related field

Relevant certifications or project experience will be an added advantage

What We Offer

Opportunity to work on real-world AI/ML projects

Mentorship from experienced AI/ML professionals

Career growth in Data Science & Artificial Intelligence

Collaborative and learning-driven work culture

Skills:- Machine Learning (ML), Deep Learning, Large Language Models (LLM), Computer Vision, OpenCV, NumPy, Python and Generative AI

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