3+ PyCharm Jobs in India

Lead Data Scientist role

Work Location- Remote

Exp-7+ Years Relevant

Notice Period- Immediate

Job Overview:

We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI) and Deep Learning (DL).

Mandatory Skills:

• 5+ years of work experience in writing code in Python

• Experience in using various Python libraries like Pandas, NumPy

• Experience in writing good quality code in Python and code refactoring techniques (e.g.,IDE’s –  PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black)

• Strong experience on AI assisted coding experience.

• AI assisted coding for existing IDE's like vscode.

• Experimented multiple AI assisted tools and done research around it.

• Deep understanding of data structures, algorithms, and excellent problem-solving skills

• Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation

 • Machine Learning libraries like Scikit-learn, XGBoost

 • Experience in CV, NLP or Time Series.

• Experience in building models for ML tasks (Regression, Classification)

• Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mecanism, Embeddings

• Experience of model training and serving on any of the cloud environments (AWS, GCP,Azure)

• Experience in distributed training of models on Nvidia GPU’s

• Familiarity in Dockerizing the model and create model end points (Rest or gRPC)

• Strong working knowledge of source code control tools such as Git, Bitbucket

• Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous

• Strong drive to learn and master new technologies and techniques

• Strong communication and collaboration skills

• Good attitude and self-motivated

Mandatory Skills- *Strong Python coding, Machine Learning, Software Engineering, Deep Learning, Generative AI, LLM, AI Assisted coding tools.*

• Mandatory - Hands on experience in Python and PySpark.

• Build pySpark applications using Spark Dataframes in Python using Jupyter notebook and PyCharm(IDE).

• Worked on optimizing spark jobs that processes huge volumes of data.

• Hands on experience in version control tools like Git.

• Worked on Amazon’s Analytics services like Amazon EMR, Lambda function etc

• Worked on Amazon’s Compute services like Amazon Lambda, Amazon EC2 and Amazon’s Storage service like S3 and few other services like SNS.

• Experience/knowledge of bash/shell scripting will be a plus.

• Experience in working with fixed width, delimited , multi record file formats etc.

• Hands on experience in tools like Jenkins to build, test and deploy the applications

• Awareness of Devops concepts and be able to work in an automated release pipeline environment.

• Excellent debugging skills.

Position description:

• Architecture & Design systems for Predictive analysis and writing algorithms to deal with financial data
• Must have experience on web services and APIs (REST, JSON, and similar) and creation and consumption of RESTful APIs
• Proficiently writing algorithms with Python/Pandas/Numpy; Jupyter/PyCharm
• Experience with relational and NoSQL databases (Eg. MSSQL, MongoDB, Redshift, PostgreSQL, Redis)
• Implementing Machine Learning Models using Python/R for best performance
• Working with Time Series Data & analyzing large data sets.
• Implementing financial strategies in python and generating reports to analyze the strategy results.

Primary Responsibilities:

• Writing algorithms to deal with financial data and Implementing financial strategies in (Python, SQL) and generating reports to analyze the strategy results.

Educational qualifications preferred Degree: Bachelors degree

Required Knowledge:

• Highly skilled in SQL, Python, Pandas, Numpy, Machine Learning, Predictive Modelling, Algorithm designing, OOPS concepts
• 2 - 7 years Full-Time working experience on core SQL, Python role (Non-Support)
• Bachelor’s Degree in Engineering, equivalent or higher education.
• Writing algorithms to deal with financial data and Implementing financial strategies in (Python, SQL) and generating reports to analyze the strategy results.