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AI / ML Engineer

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Onsite

AI / ML Engineer

Nexuslink Services

AI / ML Engineer

Skills

Google Cloud PlatformBig DataDeep LearningDockerFlaskPythonData ScienceNumPypandasPyTorchTensorFlowMachine LearningAIAWSKubernetesNLP / Natural Language ProcessingFastAPIHadoopAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Ahmedabad, Gujarat, India

Work mode:

Onsite

Published on:

12 August 2026

What they need


  • Job Title: AI/ML Engineer Experience: 3+ Years Location: Ahmedabad / Gandhinagar (GIFT City) Employment Type: Full-time

About the Role

  • We are looking for a highly skilled AI/ML Engineer with 3+ years of experience in designing, developing, and deploying machine learning and AI solutions.
  • The ideal candidate will have strong expertise in machine learning algorithms, deep learning, and building scalable AI systems to solve complex business problems.

Key Responsibilities

  • Design, develop, and deploy machine learning and deep learning models for real-world applications.
  • Build and optimize AI-driven solutions using modern ML frameworks and tools.
  • Work with large datasets to perform data preprocessing, feature engineering, and model training.
  • Implement NLP, Computer Vision, or Generative AI models based on business requirements.
  • Develop and maintain scalable ML pipelines and APIs for model deployment.
  • Collaborate with data scientists, software engineers, and product teams to integrate ML models into production systems.
  • Monitor model performance and continuously improve model accuracy and efficiency.
  • Stay updated with the latest advancements in Artificial Intelligence and Machine Learning.

Required Skills

  • Strong programming skills in Python.
  • Experience with Machine Learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of Deep Learning, NLP, Computer Vision, or Generative AI.
  • Experience with data processing libraries like Pandas, NumPy, and Spark.
  • Familiarity with model deployment tools such as Docker, Kubernetes, FastAPI, or Flask.
  • Experience with cloud platforms like AWS, Azure, or GCP.
  • Understanding of MLOps practices and CI/CD pipelines.
  • Strong problem-solving and analytical skills.

Preferred Qualifications

  • Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • Experience with LLMs, LangChain, RAG pipelines, or Generative AI applications.
  • Exposure to big data technologies such as Hadoop or Spark.
  • Experience working in Agile development environments.

What We Offer

  • Opportunity to work on cutting-edge AI technologies.
  • Collaborative and innovation-driven work culture.
  • Competitive salary and career growth opportunities.

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