Artificial Intelligence/Machine Learning Engineer

2 weeks ago


Noida, Uttar Pradesh, India Career Grow Solutions Full time

Role : 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

Must have Skills :

- Generative AI - 2 Years Advanced

- Artificial Intelligence - 2 Years Advanced

- Langchain - 2 Years Advanced

- Machine Learning - 2 Years Advanced

- NoSQL - 2 Years Advanced

- MongoDB - 1 Years Advanced

- Databricks - 2 Years Advanced

- Kubernetes - 2 Years Intermediate

- API Development - 2 Years Advanced

- Python - 2 Years Advanced

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