Artificial Intelligence Engineer

About the job

Experience: 3.00 + years Salary: Confidential (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Contract for 3 Months (40 hrs a week/160 hrs a month) (*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, AI 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 & Pipelines • Design 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 & MLOps • Deploy 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 Engineering • Develop 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 & Innovation • Evaluate 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!

Requirements

• AI product architecture
• Generative AI
• machine learning
• deep learning
• NLP
• cloud platforms
• Python
• Java

Qualifications

• Bachelor’s or Master’s degree in Computer Science
• AI
• Data Science
• Engineering

Preferred Technologies

• AI product architecture
• Generative AI
• machine learning
• deep learning
• NLP
• cloud platforms
• Python
• Java

About the company

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.