



Job Description
Want to make every line of code count? Tired of being a small cog in a big machine? Like a fast-paced environment where stuff get DONE? Wanna grow with a fast-growing company (both career and compensation)? Like to wear different hats? Join ThinkDeeply in our mission to create and apply Enterprise-Grade AI for all types of applications.
Seeking an M.L. Engineer with high aptitude toward development. Will also consider coders with high aptitude in M.L. Years of experience is important but we are also looking for interest and aptitude. As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility.
Experience
10+ Years
Location
Bozeman/Hyderabad
Skills
Required Skills:
Bachelors/Masters or Phd in Computer Science or related industry experience
3+ years of Industry Experience in Deep Learning Frameworks in PyTorch or TensorFlow
7+ Years of industry experience in scripting languages such as Python, R.
7+ years in software development doing at least some level of Researching / POCs, Prototyping, Productizing, Process improvement, Large-data processing / performance computing
Familiar with non-neural network methods such as Bayesian, SVM, Adaboost, Random Forests etc
Some experience in setting up large scale training data pipelines.
Some experience in using Cloud services such as AWS, GCP, Azure
Desired Skills:
Experience in building deep learning models for Computer Vision and Natural Language Processing domains
Experience in productionizing/serving machine learning in industry setting
Understand the principles of developing cloud native applications
Responsibilities
Collect, Organize and Process data pipelines for developing ML models
Research and develop novel prototypes for customers
Train, implement and evaluate shippable machine learning models
Deploy and iterate improvements of ML Models through feedback

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Job Description:
Please find below details:
Experience - 5+ Years
Location- Bangalore/Python
Role Overview
We are seeking a skilled Python Data Engineer with expertise in designing and implementing data solutions using the AWS cloud platform. The ideal candidate will be responsible for building and maintaining scalable, efficient, and secure data pipelines while leveraging Python and AWS services to enable robust data analytics and decision-making processes.
Key Responsibilities
- Design, develop, and optimize data pipelines using Python and AWS services such as Glue, Lambda, S3, EMR, Redshift, Athena, and Kinesis.
- Implement ETL/ELT processes to extract, transform, and load data from various sources into centralized repositories (e.g., data lakes or data warehouses).
- Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.
- Monitor, troubleshoot, and enhance data workflows for performance and cost optimization.
- Ensure data quality and consistency by implementing validation and governance practices.
- Work on data security best practices in compliance with organizational policies and regulations.
- Automate repetitive data engineering tasks using Python scripts and frameworks.
- Leverage CI/CD pipelines for deployment of data workflows on AWS.
Required Skills and Qualifications
- Professional Experience: 5+ years of experience in data engineering or a related field.
- Programming: Strong proficiency in Python, with experience in libraries like pandas, pySpark, or boto3.
- AWS Expertise: Hands-on experience with core AWS services for data engineering, such as:
- AWS Glue for ETL/ELT.
- S3 for storage.
- Redshift or Athena for data warehousing and querying.
- Lambda for serverless compute.
- Kinesis or SNS/SQS for data streaming.
- IAM Roles for security.
- Databases: Proficiency in SQL and experience with relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., DynamoDB) databases.
- Data Processing: Knowledge of big data frameworks (e.g., Hadoop, Spark) is a plus.
- DevOps: Familiarity with CI/CD pipelines and tools like Jenkins, Git, and CodePipeline.
- Version Control: Proficient with Git-based workflows.
- Problem Solving: Excellent analytical and debugging skills.
Optional Skills
- Knowledge of data modeling and data warehouse design principles.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
- Exposure to other programming languages like Scala or Java.
Responsibilities:
- Understanding the flow of code and how it interacts with different components.
- Understanding project documents, customer demands, and product objectives to create and execute test cases.
- Setting up, maintaining, and performing test automation frameworks on multiple application platforms, such as Mobile, Desktop, and Web, and building test scenarios and acceptance tests.
- Investigating customer problems referred to you by the technical support team, testing bugs, and creating and managing bug reports.
- Handling technical communications and understanding the customers' systems.
- Working with deployments teams, resolving level issues for systems, coordinating on product design, and offering inputs on the testability of functional elements and product designs.
- Noting all testing actions you have performed in daily and weekly reports.
- Analyzing and disintegrating software systems and coordinating with other teams to enhance the overall design.
- Researching test tools, methodologies, and trends and upgrading existing practices and processes.
- Managing the final quality on production release.
Eligibility Criteria:
Exp- 4-7 years
Notice period- Currently Serving
Mode of Work- Hybrid
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- Experience in API Testing- Rest Assured
- Experience in Selenium
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