AI Engineer - Remote

Greetings from Marketstar!

Role- AI Engineer

Exp- 2 yrs+

Location- Remote

Notice Period- Immediate

No of Position- 1

Skillsets- Core AI / ML, GEN AI , Scenario based Question , Python Hands-on - core +
Libraries Python Hands-on - Coding

knowledge on the RAG Pipelines, NLP Techniques, Natural Language Processing (NLP) and Machine Learning (ML) algorithms

Interested candidate please share your update resume to sujatha.sirigiri@marketstar.com

Role Overview:

We are seeking an AI Engineer with 1-2 years of experience in Natural Language Processing (NLP) and Machine Learning (ML) algorithms. The ideal candidate is proficient in prompt engineering and has hands-on experience with Google Cloud Platform (GCP) services, like Cloud Run, Cloud Run Jobs, and Workflows. This role offers the opportunity to work on cutting-edge AI projects and contribute to the development of innovative NLP solutions.

Key Responsibilities:

Machine Learning Model Development:

• Develop and implement ML algorithms for NLP tasks such as text classification, sentiment analysis, and entity recognition.
• Fine-tune pre-trained language models (e.g., BERT, GPT) for specific applications.
• Apply prompt engineering techniques to optimize model outputs.

Data Preprocessing and Feature Engineering:

• Clean and preprocess large text datasets using tokenization, stemming, and lemmatization.
• Implement text normalization and feature extraction methods.
• Utilize embedding techniques (Word2Vec, GloVe, BERT embeddings) to represent textual data effectively.
• Proficient in SQL and NoSQL databases; experience with data preprocessing and feature engineering.

Cloud Deployment and Management:

• Deploy Microservices on GCP using Cloud Run, Cloud Run Jobs, and Workflows.
• Monitor model performance and optimize resource utilization.

Collaboration and Communication:

• Work closely with data engineers and software developers to integrate ML Microservices into production systems.
• Maintain clear documentation of models, experiments, and processes.
• Participate in Agile practices using tools like JIRA.

Research and Continuous Learning:

• Stay updated with the latest advancements in NLP and ML.
• Experiment with new frameworks and libraries.
• Share knowledge through team meetings and mentoring sessions.

Qualifications:

• Education:
• Bachelor's degree in Computer Science, Data Science, or a related field.
• Experience:
• 1-2 years of experience in data science or machine learning focused on NLP and ML algorithms.
• Technical Skills:
• Proficient in Python and ML frameworks like TensorFlow or PyTorch.
• Experience with NLP techniques and libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
• Knowledge of prompt engineering and fine-tuning language models.
• Hands-on experience with GCP services, especially Cloud Run, Cloud Run Jobs, and Workflows.
• Familiarity with containerization using Docker.
• Soft Skills:
• Strong analytical and problem-solving abilities.
• Good communication skills and ability to work collaboratively.
• Eagerness to learn and adapt to new technologies.

Whats in it for you?

Constant Learning and an entrepreneurial growth mindset. Employee-centric benefits plan includes Comprehensive Health Insurance, generous Leave Policy, Covid Support, Vaccination drives, Well-being sessions, real-time grievance redressal, and work flexibility.

We are a people-first organization with policies and processes that help you bring the best version of yourself into work including fast-track growth for high-potential folks. An opportunity to be associated with the worlds leading brands as clients. To be a part of an organization with more than 60% of homegrown Leaders. Customized training programs that are catered to personal and professional development. We are an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success.