Artificial Intelligence/Machine Learning Engineer - Full Stack Technologies (2-4 yrs)

AIML Engineer

Location : Noida

Role : Full Stack Developer (Generative AI, MLOps, Python)

Industry : Information Technology & Services

Department : Big Data

Employment Type : Full Time, Permanent

Employee Benefits :

- Comprehensive health and life insurance coverage.

- Reimbursement for books, courses, and certifications.

- Regular training sessions on algorithms, data structures, and emerging technologies like ML, AI, and Big Data.

- Flexible timing and partial WFH as per need

- Reimbursements of Lunch/snacks in office.

Biannual Team Retreats :

- Company-sponsored trips to different destinations twice a year to encourage team bonding, relaxation, and a refreshing break from work.

Key Skills & Expertise :

- Generative AI & LLMs : Proficiency in GPT-3, Langchain, and LLMs with experience in prompt engineering, few-shot/zero-shot learning, RLHF, and model optimization.

- Machine Learning & NLP : Strong experience in Python with deep learning frameworks like Hugging Face, TensorFlow, Keras, and PyTorch. Solid understanding of embeddings and data modeling.

- Databases : Experience with vector databases, RDBMS, MongoDB, NoSQL databases (HBase, Elasticsearch), and data integration from multiple sources.

- Software Engineering : Expertise in data structures, algorithms, system architecture, and distributed systems.

- Platform & Cloud : Hands-on experience with Kubernetes, Spark ML, Databricks, and developing scalable platforms at scale.

- API Development : Proficiency in API design, RESTful services, and data mapping to schemas.

Key Responsibilities :

- Design, develop, and implement generative AI models using GPT, VAE, and GANs.

- Optimize LLM performance through fine-tuning, hyperparameter evaluation, and model interpretability.

- Collaborate with ML and integration teams to integrate AI models into scalable web applications.

- Build and maintain distributed systems with robust system architecture.

- Integrate data from diverse sources and design efficient APIs for seamless functionality.

- Enhance response quality and performance using RLHF and other advanced techniques.

Educational Qualifications & Requirements :

- B.Tech / B.E. /M.Tech / M.E.

- Proven track record in building and deploying AI/ML models, particularly LLMs.

- Prior experience developing public cloud services or open-source ML software is a plus.

- Knowledge of big-data tools would be a big plus Self-driven and eager to learn