Software Engineer
5 days ago
JOB DESCRIPTION
Title:
Software Engineer - Data Science
Full time
Chennai
Role Type:
Location:
Reports to:
Data Scientist
Summary of the profile:
We are seeking a highly motivated and innovative Data Scientist with 2 years of experience to join our
team, with a focus on leveraging Generative AI and Large Language Models (LLMs). The ideal candidate
will be passionate about exploring the potential of these cutting-edge technologies to solve complex
problems and create impactful solutions. You will collaborate with cross-functional teams to research,
develop, and deploy generative AI models and LLM-powered applications.
What youll do here:
Explore and experiment with various generative AI models (e.g., GANs, VAEs, diffusion
models) and LLMs (e.g., GPT, BERT, Llama).
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Fine-tune pre-trained LLMs for specific tasks and domains.
Develop and implement generative models for tasks like data augmentation, content
generation, and synthetic data creation.
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Prompt engineering, and prompt iteration.
Collect, clean, and preprocess large text datasets for LLM training and evaluation.
Perform natural language processing (NLP) tasks such as text classification, sentiment analysis,
and entity recognition.
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Use LLMs to assist in data cleaning and data understanding.
Develop and evaluate machine learning models, including those leveraging generative AI and
LLMs.
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Evaluate model performance using relevant metrics and techniques, including those specific
to LLMs (e.g., perplexity, BLEU score).
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Tune hyperparameters to optimize model performance.
Create compelling visualizations and reports to communicate insights from generative AI and
LLM experiments.
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Present findings to both technical and non-technical audiences.
Collaborate with engineers, product managers, and researchers to define project
requirements and deliver solutions.
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Communicate effectively with team members and stakeholders, both verbally and in writing.
Stay up-to-date with the latest advancements in generative AI and LLMs.
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Assist in deploying generative AI models and LLM-powered applications to production
environments.
Monitor model performance and retrain models as needed.
What you will need to thrive:
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2-3 years of professional experience in data science, with a growing interest in Generative AI
and LLMs.
Proficiency in Python and relevant libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow,
PyTorch, Hugging Face Transformers).
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Experience with NLP techniques and libraries.
Understanding of machine learning algorithms and statistical concepts.
Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI).
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Experience with Prompt engineering, version control systems like Git and cloud platforms like
GCP, AWS or Azure is a plus
Preferred Skills:
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Experience with fine-tuning LLMs for specific tasks.
Experience with deploying LLMs in production environments.
Knowledge of deep learning architectures relevant to generative AI and LLMs.
Familiarity with vector databases.
Experience with RAG (Retrieval Augmented Generation) architectures.
Experience with the Langchain Library.
Education:
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Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
Core competencies:
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Communication, Analytical & Problem-Solving Skills
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About RESULTICKS
RESULTICKS is a fully integrated connected experience platform for Real Time Audience Engagement.
RESULTICKS empowers brands to create data-driven communications to their audiences and drives
business decisions through its award-winning, AI-powered big data cloud solution. Supported by the
worlds first customer data blockchain, RESULTICKS unlocks incredible digital transformation
possibilities by delivering the full 360 view of the customer through data consolidation and
omnichannel orchestration. Built from the ground up by experts in marketing, technology, and
business management, RESULTICKS enables brands to make a transformational leap to conversion-
driven, growth-focused personalized engagement. With an advanced CDP at its core. RESULTICKS
offers AI-powered omnichannel orchestration, complete analytics, next-best engagement, attribution
at the segment-of-one level, and the worlds first marketing block chain.
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RESULTICKS has been named to the Gartners Magic Quadrant 2021 for Multichannel
Marketing Hubs for five years in a row and has been awarded with the Microsoft Elevating
Customer Experience with AI award.
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Headquartered in Singapore and New York City, RESULTICKS is one of the top global martech
solutions servicing both B2B/B2B2C and B2C segments. RESULTICKS global presence includes
the United States, India, Singapore, Indonesia, Malaysia, Vietnam, Thailand, and the
Philippines.
Watch video on RESULTICKS -
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