Machine Learning Developer

Machine Learning Developer | 5 To 9 years | Bangalore

Technical Expertise:

Solid hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face building deep learning & machine learning models.

Proficient in fine-tuning LLMs (Large Language Models) using LoRA, QLoRA, and PEFT techniques to optimize resource efficiency.

Strong knowledge of Graph Databases (e.g., Neo4j, TigerGraph) and their integration with machine learning systems.

Experience working with Vector Databases (e.g., Pinecone, Weaviate, Milvus, FAISS or ChromaDB).

In-depth understanding of neural network architectures, including Transformers, GANs, and Diffusion Models.

Solid expertise in NLP, retrieval systems, and multimodal AI integration (text, images, audio).

Proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn).

Experience with deploying machine learning models on cloud platforms like AWS, GCP, or Azure.

Soft Skills:

Strong analytical and problem-solving abilities to tackle complex AI challenges.

Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. Ability to mentor junior developers and collaborate effectively within a cross-functional team.

Self-driven with the ability to work independently on projects and tasks, while aligning with team goals.

Education and Experience:

Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related fields.

2-5 years of experience in machine learning, generative AI, NLP, or graph-based AI solutions.

Preferred Skills (Nice-to-Have):

Familiarity with multimodal AI techniques (combining text, images, and other data types).

Knowledge of MLOps practices, including tools for continuous deployment and monitoring of AI models.

Published research or open-source contributions in generative AI or graph-based AI.

Awareness of ethical AI principles and data privacy regulations.

Role Summary: As a Mid-Level Machine Learning Engineer, you will be responsible for developing, deploying, and optimizing AI models in production environments. Youll work with state-of-the-art technologies, collaborate with senior engineers, and take ownership of critical parts of machine learning systems. This role requires both technical expertise and a proactive attitude to solve complex problems in AI and machine learning. You will also help drive innovation, mentor junior developers, and contribute to scaling our AI systems to meet evolving business needs.

Qualification : B.E / B. TECH In Aeronautical Engineering (or) AME or Diploma in Aeronautics with Technical publication experience.