N
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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