Data Scientist

We're looking for AI/ML enthusiasts who build, not just study. If you've implemented transformers from scratch, fine-tuned LLMs, or created innovative ML solutions, we want to see your work!

Make Sure before Applying (GitHub Profile Required):

1. Your GitHub must include:

- At least one substantial ML/DL project with documented results

- Code demonstrating PyTorch/TensorFlow implementation skills

- Clear documentation and experiment tracking

- Bonus: Contributions to ML open-source projects

2. Pin your best projects that showcase:

- LLM fine-tuning and evaluation

- Data preprocessing pipelines

- Model training and optimization

- Practical applications of AI/ML

Technical Requirements:

- Solid understanding of deep learning fundamentals

- Python + PyTorch/TensorFlow expertise

- Experience with Hugging Face transformers

- Hands-on with large dataset processing

- NLP/Computer Vision project experience

Education:

- Completed/Pursuing Bachelor's in Computer Science or related field

- Strong foundation in ML theory and practice

Apply if:

1. You have done projects using GenAI, Machine Learning, Deep Learning.
2. You must have strong Python coding experience.
3. Someone who is available immediately to start with us in the office(Hyderabad).
4. Someone who has the hunger to learn something new always and aims to step up at a high pace.

We value quality implementations and thorough documentation over quantity. Show us how you think through problems and implement solutions!

Job Description:

As an Azure Data Engineer, your role will involve designing, developing, and maintaining data solutions on the Azure platform. You will be responsible for building and optimizing data pipelines, ensuring data quality and reliability, and implementing data processing and transformation logic. Your expertise in Azure Databricks, Python, SQL, Azure Data Factory (ADF), PySpark, and Scala will be essential for performing the following key responsibilities:

Designing and developing data pipelines: You will design and implement scalable and efficient data pipelines using Azure Databricks, PySpark, and Scala. This includes data ingestion, data transformation, and data loading processes.

Data modeling and database design: You will design and implement data models to support efficient data storage, retrieval, and analysis. This may involve working with relational databases, data lakes, or other storage solutions on the Azure platform.

Data integration and orchestration: You will leverage Azure Data Factory (ADF) to orchestrate data integration workflows and manage data movement across various data sources and targets. This includes scheduling and monitoring data pipelines.

Data quality and governance: You will implement data quality checks, validation rules, and data governance processes to ensure data accuracy, consistency, and compliance with relevant regulations and standards.

Performance optimization: You will optimize data pipelines and queries to improve overall system performance and reduce processing time. This may involve tuning SQL queries, optimizing data transformation logic, and leveraging caching techniques.

Monitoring and troubleshooting: You will monitor data pipelines, identify performance bottlenecks, and troubleshoot issues related to data ingestion, processing, and transformation. You will work closely with cross-functional teams to resolve data-related problems.

Documentation and collaboration: You will document data pipelines, data flows, and data transformation processes. You will collaborate with data scientists, analysts, and other stakeholders to understand their data requirements and provide data engineering support.

Skills and Qualifications:

Strong experience with Azure Databricks, Python, SQL, ADF, PySpark, and Scala.

Proficiency in designing and developing data pipelines and ETL processes.

Solid understanding of data modeling concepts and database design principles.

Familiarity with data integration and orchestration using Azure Data Factory.

Knowledge of data quality management and data governance practices.

Experience with performance tuning and optimization of data pipelines.

Strong problem-solving and troubleshooting skills related to data engineering.

Excellent collaboration and communication skills to work effectively in cross-functional teams.

Understanding of cloud computing principles and experience with Azure services.

Position Overview: 

The Engineering Manager will work closely with the management and customers and partners globally. He/She will report to the VP - Engineering. He/She will be responsible for shaping the product and strategizing its delivery around when and how it will be done so. 

The ideal candidate should have prior experience as Engineering Manager in a start-up or Product company, developing an Enterprise SAAS product.

Responsibilities: 

●Lead Product Development, QA and Documentation for multiple client Products 

●Deliver Engineering Product Releases and Patches 

●Provide work break-down and be responsible for all Engineering Team deliverables 

●Interact with team members and ensure timely and successful delivery of each sprint iteration 

●Provide technical guidance, coaching and mentoring to the Engineering Team 

●Be responsible for tools and processes for all Engineering activities 

●Work with Product Management and help shape the product roadmap 

●Work with Services Organization and set the right expectations regarding the product roadmap, delivery of enhancements and patches 

●Define and manage quarterly goals for Engineering Team 

●Manage engineering budget, incentive programs and team-building activities 

●Hire and manage Product Development, QA and Documentation Team members 

The Ideal Candidate: 

●Should have completed a 4-year Engineering degree in Computer Science (preferably) or an advanced degree in a similar stream 

●Should have 10-12 years of experience with at least 2-3 years as an Engineering Manager 

●Must have experience with Containerization, Docker, Kubernetes 

●Should have designed and delivered: 

• Open Source based Enterprise Software 

• Software based on Java, Angular JS, ReactJS, Python, no-SQL databases etc

• Solutions in the Cloud (AWS or Azure or Google Cloud Platform (GCP)) 

●Delivered multiple releases of products using Agile Development 

●Delivered Artifacts like Design/Test-Plan/Documentation-Plan documents 

●Possess Team Management skills: 

• Led Product Development Teams involving UI, Middle-Tier and Database developers, QA and Documentation Teams 

• Delivered performance reviews, and improvement plans to team members 

Desired Skills: 

●Experience having worked at a startup or product development company is an advantage 

  Strong knowledge in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, etc. 

 Sound Knowlegde querying databases and using statistical computer languages: R, Python, SQL, etc. 

 Strong understanding creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. 

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.

• Collaborating with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience.
• Own code for the products with responsibilities including but not limited to designing, developing, testing, maintenance of products.
• Building RESTful services and do DevOps.
• Talking to customers and business teams to suggest improvement areas in product flows.
• Create peer learnings for team members and build context for new teammates
• Help with building the company's tech team and iterating on the hiring framework.
• Provide regular feedback to your team (peers and managers) to ensure continuous improvement.
• Keeping abreast with the latest technologies and working on your skills regularly.

Skills & Requirements

• Good knowledge and experience of working with backend systems; designing server-side architecture, including production maintenance experience are must-haves.
• At least 1-8 years of experience in any programming languages like Java, Ruby, PHP, Python, and Node.js(Node.js preferred).
• Understanding of micro-services-oriented architecture.
• Experience with Databases design (SQL, NoSQL) and analytics
• Experience in driving and delivering complex features/software modules from technical design to launch.
• Expertise with unit testing & Test Driven Development (TDD)
• Have empathy for the users you build for

Good to have

• Experience in the fintech industry
• Experience leading design and implementation of robust and secure web services

Technical Experience :

• 2-6 years of Python working experience
• Expertise in at least one popular Python framework /Django/ Flask
• Knowledge of object-relational mapping d
• Familiarity with front-end technologies JavaScript and HTML5

Key Responsibilities :

• Write effective, scalable code
• Develop back-end components to improve responsiveness and overall performance
• Integrate user-facing elements into applications
• Test and debug programs5 Improve functionality