Jobs

Description

Job Title: AI / ML Engineer
Experience: 2–6 Years
Location: Remote / Hybrid / Onsite
Employment Type: Full-time

Job Description:We
are looking for an AI / ML Engineer to design, build, and deploy machine learning and artificial intelligence solutions. The role involves working with large datasets, developing models, and deploying them into production systems that solve real business problems.

Key Responsibilities:

• Design, develop, and optimize machine learning and deep learning models

• Build end-to-end ML pipelines including data ingestion, training, evaluation, and deployment

• Work with structured and unstructured data such as text, images, and audio

• Develop and deploy models using Python-based ML frameworks

• Optimize models for performance, scalability, and cost

• Implement MLOps practices such as model versioning, monitoring, and CI/CD

• Collaborate with product, data, and engineering teams

• Stay up to date with advancements in AI and machine learning

Required Skills:

• Strong proficiency in Python

• Solid understanding of supervised and unsupervised learning

• Experience with deep learning architectures such as CNNs, RNNs, and Transformers

• Hands-on experience with TensorFlow or PyTorch

• Experience with Scikit-learn, NumPy, and Pandas

• Knowledge of REST APIs and model serving

• Experience with SQL and/or NoSQL databases

• Familiarity with Docker and cloud platforms like AWS, Azure, or GCP

Good to Have:

• Experience with LLMs, RAG pipelines, AI agents, and vector databases

• Knowledge of NLP, Computer Vision, or Speech AI

• Experience with Hugging Face, LangChain, MLX, or similar frameworks

• Exposure to distributed training and large-scale systems

• Understanding of data security, privacy, and model governance

Qualifications:

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

• Equivalent practical experience is acceptable

What We Offer:

• Opportunity to work on real-world AI problems

• Competitive salary and benefits

• Career growth and learning opportunities

• Flexible work environment