AIML Engineer; Location: Onsite Noida, Uttar Pradesh, India; Annual salary; US$6 - 24K/Year; Longterm (Duration); Role: Full Stack Developer

Job Title: AIML Engineer

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

Interested with this job APPLY HERE

Screening Questions

Q1.Are you comfortable working from Office Location : Noida, Uttar Pradesh, India? (Must-have); Ideal answer: yes

Q2.Which city are you currently located in?; Ideal answer: Noida, Uttar Pradesh, India

Q3.How many years of overall experience do you currently have? (Must-have); Ideal answer: 2 Years (Min)

Q4.What is your Expected Annual Salary?; Ideal answer: $ 24 (Max) USD /Years

Q5.What is Current Annual Salary?; Ideal answer: $ 6 K USD /Years

Q6.How many years of work experience do you have with Generative AI? (Must-have); Ideal answer: 2 Years (Min)

Q7.How many years of work experience do you have with Artificial Intelligence? (Must-have); Ideal answer: 2 Years (Min)

Q8.How many years of work experience do you have with Langchain? (Must-have); Ideal answer: 2 Years (Min)

Q9.How many years of work experience do you have with Machine Learning? (Must-have); Ideal answer: 2 Years (Min)

Q10.How many years of work experience do you have with NoSQL? (Must-have); Ideal answer: 2 Years (Min)

Q11.How many years of work experience do you have with MongoDB?; Ideal answer: 1 Year (Min)

Q12.How many years of work experience do you have with Databricks? (Must-have); Ideal answer: 2 Years (Min)

Q13.How many years of work experience do you have with Kubernetes? (Must-have); Ideal answer: 2 Years (Min)

Q14.How many years of work experience do you have with API Development? (Must-have); Ideal answer: 2 Years (Min)

Q15.How many years of work experience do you have with Python? (Must-have); Ideal answer: 2 Years (Min)

Q16.How soon will you be able to join?; Ideal answer: 30 Days notice period

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