Data Scientist

Sahaj Software Solutions Pvt Ltd; Pune District; In loco; INR 1.500.000 - 2.100.000; Tempo pieno

Vantaggi offerti da questo lavoro

Unlimited leaves

Life insurance & private health

Stock options

Descrizione del lavoro

Sahaj Software Solutions Pvt Ltd is seeking a data scientist with strong background in data mining, machine learning, recommendation systems, and statistics. The role requires a Master’s or PhD in a quantitative field and about 5 years of industry experience with ML/DL models.

You will work with customers to deliver end‑to‑end ML/DL projects, build features, and deploy models, leveraging NLP, CV, and speech capabilities and collaborating closely with engineering teams.

Competenze

• Master’s or PhD in a highly quantitative field (Computer Science, ML, OR, Statistics, Mathematics, etc.) or equivalent experience.
• About 5 years of industry experience in predictive modelling, data science and analysis, with prior ML/data scientist roles and a track record of building ML/DL models.

Mansioni

• Deliver ML/DL projects from start to end: understand business need, aggregate data, explore data, build and validate models, deploy to deliver business impact.
• Select features, build and optimize classifiers using ML techniques.
• Data mining and text mining to process large unstructured datasets to reveal insights via ML techniques.

Conoscenze

Data mining

Machine learning

NLP

Computer Vision

Speech

Statistics

Data engineering

Python

R

Scala

Spark

Hadoop

NoSQL

Deep learning

TensorFlow

Keras

MXNet

Caffe 2

Scikit-learn

Formazione

Master’s or PhD in a quantitative field

Strumenti

TensorFlow

Keras

MXNet

Caffe 2

Scikit-learn

NumPy

MatLab

Spark

Hadoop

Descrizione del lavoro

Data scientist with strong background in data mining, machine learning, recommendation systems, and statistics. Should possess signature strengths of a qualified mathematician with ability to apply concepts of Mathematics, Applied Statistics, with specialization in one or more of NLP, Computer Vision, Speech, Data mining to develop models that provide effective solution. A strong data engineering background with hands-on coding capabilities is needed to own and deliver outcomes.

A Master’s or PhD Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience. About 5 years of industry experience in predictive modelling, data science and analysis, with prior experience in a ML or data scientist role and a track record of building ML or DL models

Responsibilities and Skills

• Work with our customers to deliver a ML/DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models and deploying completed models to deliver business impact to organizations.
• Selecting features, building and optimizing classifiers using ML techniques.
• Data mining using state-of-the-art methods, creating text mining pipelines to clean & process large unstructured datasets to reveal high-quality information and hidden insights using machine learning techniques.

Should be able to appreciate and work on:

Should be able to appreciate and work on Computer Vision problems, for example, extract rich information from images to categorize and process visual data, develop machine learning algorithms for object and image classification, experience in using DBScan, PCA, Random Forests and Multinomial Logistic Regression to select the best features to classify objects.
OR
Deep understanding of NLP such as fundamentals of information retrieval, deep learning approaches, transformers, attention models, text summarisation, attribute extraction etc. Preferable experience in one or more of the following areas: recommender systems, moderation of user-generated content, sentiment analysis, etc.
OR
Speech recognition, speech to text and vice versa, understanding NLP and IR, text summarisation, statistical and deep learning approaches to text processing. Experience of having worked in these areas.

• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Appreciation for deep learning frameworks like MXNet, Caffe 2, Keras, Tensorflow.
• Experience in working with GPUs to develop models, handling terabyte-size datasets.
• Experience with common data science toolkits such as R, Weka, NumPy, MatLab, mlr, mllib, Scikit learn, caret etc – excellence in at least one of these is highly desirable.
• Should be able to work hands‑on in Python, R etc. Should closely collaborate & work with engineering teams to iteratively analyse data using Scala, Spark, Hadoop, Kafka, Storm etc.
• Experience with NoSQL databases and familiarity with data visualization tools will be of great advantage.
• Candidates should be well‑versed with GenAI, AI‑assisted coding, agentic systems, and multiagent systems.

What will you experience in terms of culture at Sahaj?

• A culture of trust, respect and transparency
• Opportunity to collaborate with some of the finest minds in the industry

What are the benefits of being at Sahaj?

• Unlimited leaves
• Life insurance & private health insurance
• Stock options