Artificial Intelligence Engineer

Experience

Salary

Expected Notice Period

Shift

Opportunity Type

Placement Type

(*Note: This is a requirement for one of Uplers' client - AI Solutions Provider)What do you need for this opportunity?Must have skills required:AI product architecture, deploying scalable systems, Generative AI, AI model pipelines, cloud platforms, Hugging Face, Llm development, MLOps tools, No code tools, Kubernetes, NLPAI Solutions Provider is Looking for:

Full-time Contractual opportunity for 3 months

Key Responsibilities

• Model Development & Optimization
• Build, train, and fine-tune machine learning and deep learning models.
• Implement NLP, computer vision, or recommendation systems depending on project needs.
• Conduct feature engineering, data preprocessing, and experiment design.
• Optimize model performance through hyperparameter tuning and algorithm improvements.
• Data Engineering & PipelinesDesign and maintain scalable data pipelines for model training and inference.
• Work with ETL processes, data warehousing, and big data frameworks (e.g., Spark, Kafka).
• Ensure data quality, governance, and security.
• AI Deployment & MLOpsDeploy models to production using cloud services (AWS/GCP/Azure).
• Build CI/CD pipelines for ML workflows.
• Monitor model performance and drift; manage retraining pipelines.
• Software EngineeringDevelop robust, production-grade code in Python, Java, or similar languages.
• Implement APIs and microservices for model inference.
• Collaborate closely with backend, frontend, and DevOps teams.
• Research & InnovationEvaluate emerging AI technologies, models, and frameworks.
• Experiment with LLMs, generative AI, and new architectures.
• Translate research prototypes into production-ready solutions.
  

Technical Skills

• Proficiency in ML libraries and frameworks (TensorFlow, PyTorch, Scikit-learn).
• Strong programming skills in Python (preferred), C++, or Java.
• Experience with cloud platforms (AWS Sagemaker, GCP Vertex AI, Azure ML).
• Familiarity with vector databases, embeddings, RAG pipelines, or LLM orchestration.
• Knowledge of data structures, algorithms, and system design.
• Understanding of MLOps tools (Kubeflow, MLFlow, Docker, Kubernetes).
  

Soft Skills

• Strong analytical and problem-solving abilities.
• Ability to communicate complex technical concepts clearly.
• Collaboration with cross-functional teams.
• Adaptability in fast-paced environments.
  

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or related field.
• 2–5 years of experience with machine learning/AI development (for mid-level roles).
• Experience working with large datasets and high-scale systems.
  

Preferred (Good To Have)

• Experience with generative AI (GPT, diffusion models, fine-tuning, prompt engineering).
• Familiarity with LLM frameworks like LangChain, LlamaIndex, Haystack.
• Understanding of model compression, quantization, distillation.
• Experience with multi-modal AI or reinforcement learning.
  

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
  

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