Developer: Generative AI and Data Science

Job Description:
Nimbusnext is dedicated to delivering exceptional cloud-native capabilities and services to a wide range of
industries. Our vision is to drive successful business outcomes for our clients through innovative, secure,
and cost-effective Data driven, AI & ML backed native solutions with Advanced AI techniques. Over the
years, the merging of AI technology with cloud platforms has given rise to new opportunities where
businesses can create unimaginable superior experiences for both the end customers as well as their
workforce.

As the developer for Generative AI and Data Science, you will be responsible for leading the development
and implementation of advanced AI solutions, particularly in the field of Generative AI, while overseeing the
broader data science and engineering efforts. This role requires a deep understanding of AI/ML
technologies, a strong technical background in data science, and proven leadership skills. You will work
closely with cross-functional teams to deliver high-impact solutions that align with our strategic goals.

Key Attributes:
Graduate Engineer or postgraduate with 03 04 years of experience, out of which about 1+ years in
advanced Generative AI technologies and the rest in Data Science, AI, and Machine Learning.
Must have a good grasp of database management, including Vector DBs, SQL (Structured Query
Language), and NoSQL (Non-relational) databases.
Must have hands-on Python-based web and back-end frameworks like Django, flas

Must-Have Skills:
Hands-on Gen AI experience across LLMs like OpenAI, Gemini, Mistral, Falcon, etc.
Advanced RAG (Retrieval Augmented Generation), Multi-Modal RAG, LangChain, LlAMA
Text analytics: NLP, Sentiment Analysis, Topic Modelling, Seq2Seq, Attention model, Tokenizer,
Word2Vec, etc
Strong proficiency in Python and related libraries (NumPy, Pandas, Scikit-learn, Tensor Flow, Keras,
PyTorch, Flask or Django).
Awareness on agentic System Development, which can perform tasks autonomously and interact with
other systems.

Nice-to-Have Skills:
Machine learning techniques: Neural Networks, Deep Learning algorithms (CNN/RNN/LSTM, etc),
Predictive modeling, Exploratory Data analysis (EDA), Linear Regression, Logistic Regression,
Clustering Techniques, Na ve Bayes, Ensemble, Gradient Boosting, XGBoost, Support Vector Machine
(SVM), Decision Tree, Random forest, Knowledge Graphs etc.

Soft Skills:
Excellent leadership and team management skills, with a track record of successfully leading crossfunctional teams.
Strong problem-solving abilities and a proactive approach to identifying and addressing challenges.
Excellent communication skills, with the ability to articulate complex technical concepts to both
technical and non-technical stakeholders.
Confidential #2
Ability to work in a fast-paced, dynamic environment with a strong focus on delivering high-quality
results.

Key Responsibilities:
Cross-functional collaboration: Work closely with product management, engineering, and business
teams to integrate AI-driven features into products and services, ensuring they meet market needs
and customer expectations.
Investigate the technology trends and implement them within the product following the product
vision, strategy, and roadmap.
Carry out quick POCs/ build MVPs to rapidly demonstrate solution possibilities/feasibilities across
Infrastructure, Storage, Analytics, AI/ML, Security etc,
Ensure efficient usage of tools and implementation of processes and systems thus creating a
proficient environment for effective delivery.
Work with clients to ensure smooth and successful implementation, delivery, and deployment of
complex solutions
Compliance: Ensure all AI and data science activities comply with relevant data privacy laws,
regulations, and ethical standards.
Client Interaction: Engage with clients to understand their needs and ensure successful
implementation, delivery, and deployment of AI-driven solutions.

You are welcome to be part of NimbusNext!