Job Title
: Data Scientist
Experience
: 3 to 5 years
Work Location
: Bangalore
Work Mode
: Work From Office (WFO)
Notice Period
: 15 Days/Immediate Joiners
We are seeking a highly skilled and motivated
Data Scientist
with 3-5 years of experience to join our team. The ideal candidate will have a robust background in
Machine Learning (ML), Generative AI, Python, AWS, and SQL
, with experience in
developing and deploying
ML models and AI Models. You will play a crucial role in analyzing complex data, building predictive models, and deploying scalable AI solutions.
Design, develop, and deploy
Machine Learning
and
Generative AI
models for real-world applications.
Work with large-scale structured and unstructured data, performing
data preprocessing, feature engineering, and model optimization
.
Implement and optimize
ML pipelines
for training and inference in cloud environments, especially
AWS (SageMaker, Lambda, S3, EC2, RDS, etc.)
.
Develop
end-to-end ML solutions
, including model versioning, monitoring, and retraining.
Collaborate with
data engineers and software developers
to integrate ML models into production systems.
Perform
exploratory data analysis (EDA)
and statistical analysis to derive insights and drive decision-making.
Write efficient
SQL queries
for data extraction, transformation, and analysis.
Stay updated with the latest advancements in AI, ML, and Generative AI technologies, applying them to business use cases.
Document processes, models, and findings effectively for both technical and non-technical stakeholders.
Proficiency in Python
and ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
Hands-on experience with
Generative AI models (e.g., GPT, DALL·E, Stable Diffusion, LLMs, etc.)
.
Experience in
developing, training,



and deploying ML models on AWS
(SageMaker, Lambda, S3, EC2).
Strong knowledge of
SQL
for querying and managing large datasets.
Understanding of
MLOps
principles, CI/CD pipelines for ML, and model monitoring.
Familiarity with
big data technologies
(Spark, Hadoop) is a plus.
Strong analytical skills and the ability to derive insights from complex datasets.
Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders.
Experience with
cloud-based AI/ML services
(Google Cloud AI, Azure ML, etc.).
Knowledge of
APIs, microservices, and containerization (Docker, Kubernetes)
.
Experience with
deep learning architectures
(CNNs, RNNs, Transformers).
Strong problem-solving skills and a results-driven approach.
In today's data-driven world, information is power. But raw data alone can't fuel success. At Quation, we bridge the gap. We're a data analytics consultancy with a purpose to empower brands like yours to unlock the true potential of their data.
We translate complex data landscapes into clear, actionable insights that inform strategic decision-making across your entire organization. We leverage cutting-edge technology and a deep understanding of your industry to ensure our solutions are tailored to your unique challenges and opportunities.
Expertise:
, Quation offers dedicated analytical solutions, including AI and ML applications, customer experience enhancement, marketing analytics, sales maximization, and pricing optimization.
quation.in
Industries Served:
The company caters to sectors such as retail, consumer packaged goods (CPG), manufacturing, telecommunications, healthcare, banking, finance, insurance, and technology.
quation.in
Location:
Office is located at 6th Floor, Tower 3, WARP SJR I Park, EPIP, opposite Sri Sathya Sai Hospital, Whitefield, Bangalore - ******.
quation.in

📌 Quation Solution - Mlops Data Scientist (Bengaluru)
🏢 NextHire
📍 Bengaluru