3D Modeling Intern

• Full Stack Developer with a strong technical foundation in Angular, Java,Spring MVC, JPA. Spring Boot, REST API, Database, and CI/CD pipelines, Playwright
• Design, develop, and maintain full-stack applications using Angular (front-end) and Java Spring Boot (back-end). * At least 3 years of Hand-on Java EE and Core Java experience with strong leadership qualities.
• Experience with Web Service development, REST and Services Oriented Architecture.
• Expertise in Object Oriented Design, Design patterns, Architecture and Application Integration.
• Working knowledge of Databases including Design, SQL proficiency.
• Strong experience with frameworks used for development and automated testing like SpringBoot, Junit, BDD etc.
• Experience with Unix/Linux Operating System and Basic Linux Commands.
• Strong development skills with ability to understand technical design and translate the same into workable solution.
• Basic knowledge of Python/Python scripting
• Build, deploy, and monitor applications using CI/CD pipelines.
• Experience with agile development methodology.
• Good to Have Elastic Index Database, MongoDB - No SQL Database Docker Deployments, Cloud Deployments 

JOB DESCRIPTION/PREFERRED QUALIFICATIONS:

REQUIRED SKILLS/COMPETENCIES:

Programming Languages:

• Strong in Python, data structures, and algorithms.
• Hands-on with NumPy, Pandas, Scikit-learn for ML prototyping.

Machine Learning Frameworks:

• Understanding of supervised/unsupervised learning, regularization, feature engineering, model selection, cross-validation, ensemble methods (XGBoost, LightGBM).

Deep Learning Techniques:

• Proficiency with PyTorch or TensorFlow/Keras
• Knowledge of CNNs, RNNs, LSTMs, Transformers, Attention mechanisms.
• Familiarity with optimization (Adam, SGD), dropout, batch norm.

LLMs & RAG:

• Hugging Face Transformers (tokenizers, embeddings, model fine-tuning).
• Vector databases (Milvus, FAISS, Pinecone, ElasticSearch).
• Prompt engineering, function/tool calling, JSON schema outputs.

Data & Tools:

• SQL fundamentals; exposure to data wrangling and pipelines.
• Git/GitHub, Jupyter, basic Docker.

WHAT ARE WE LOOKING FOR?

• Solid academic foundation with strong applied ML/DL exposure.
• Curiosity to learn cutting-edge AI and willingness to experiment.
• Clear communicator who can explain ML/LLM trade-offs simply.
• Strong problem-solving and ownership mindset.

MINIMUM QUALIFICATIONS:

• Doctorate (Academic) Degree and 2 years related work experience; Master's Level Degree and related work experience of 5 years; Bachelor's Level Degree and related work experience of 7 years in building AI systems/solutions with Machine Learning, Deep Learning, and LLMs.

MUST-HAVES:

• Education/qualification:  Preferably from premier Institute like IIT, IISC, IIIT, NIT and BITS. Also regional tier 1 colleges.

• Doctorate (Academic) Degree and 2 years related work experience; or Master's Level Degree and related work experience of 5 years; or Bachelor's Level Degree and related work experience of 7 years

• Min 5 yrs experience in the Mandatory Skills: Python, Deep Learning, Machine Learning, Algorithm Development and Image Processing

• 3.5 to 4 yrs proficiency with PyTorch or TensorFlow/Keras

• Candidates from engineering product companies have higher chances of getting shortlisted (current company or past experience)

QUESTIONNAIRE: 

Do you have at least 5 years of experience with Python, Deep Learning, Machine Learning, Algorithm Development, and Image Processing? Please mention the skills and years of experience:

Do you have experience with PyTorch or TensorFlow / Keras?

• PyTorch
• TensorFlow / Keras
• Both

How many years of experience do you have with PyTorch or TensorFlow / Keras?

• Less than 3 years
• 3 to 3.5 years
• 3.5 to 4 years
• More than 4 years

Is the candidate willing to relocate to Chennai?

• Ready to relocate
• Based in Chennai

What type of company have you worked for in your career?

• Service-based IT company
• Product company
• Semiconductor company
• Hardware manufacturing company
• None of the above

Job Description:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in backend development, with proficiency in Python and/or Golang.
• Strong experience in front-end technologies, particularly React.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker and Kubernetes.
• Knowledge of Apache Spark is highly preferred.
• Solid understanding of database technologies, both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra).
• Experience with CI/CD pipelines and automated testing frameworks.
• Excellent problem-solving skills and a proactive attitude toward tackling challenges

Responsibilities:

• Must be able to write quality code and build secure, highly available systems.
• Assemble large, complex datasets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing datadelivery, re-designing infrastructure for greater scalability, etc with the guidance.
• Create datatools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Monitoring performance and advising any necessary infrastructure changes.
• Defining dataretention policies.
• Implementing the ETL process and optimal data pipeline architecture
• Build analytics tools that utilize the datapipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Create design documents that describe the functionality, capacity, architecture, and process.
• Develop, test, and implement datasolutions based on finalized design documents.
• Work with dataand analytics experts to strive for greater functionality in our data
• Proactively identify potential production issues and recommend and implement solutions

Skillsets:

• Good understanding of optimal extraction, transformation, and loading of datafrom a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Proficient understanding of distributed computing principles
• Experience in working with batch processing/ real-time systems using various open-source technologies like NoSQL, Spark, Pig, Hive, Apache Airflow.
• Implemented complex projects dealing with the considerable datasize (PB).
• Optimization techniques (performance, scalability, monitoring, etc.)
• Experience with integration of datafrom multiple data sources
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB, etc.,
• Knowledge of various ETL techniques and frameworks, such as Flume
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Good understanding of Lambda Architecture, along with its advantages and drawbacks
• Creation of DAGs for dataengineering
• Expert at Python /Scala programming, especially for dataengineering/ ETL purposes

Minimum Qualifications:

• Minimum 5 years of experience with Java platform and technologies.
• Minimum 5 years of experience with HTML5, CSS and Angular.
• Experience with enterprise level application design and development is a must.
• Expert level knowledge in Java Spring framework, JHipster, PostgreSQL, HTML5, Angular, CSS
• Must have previously worked in an environment using version control systems such as Bitbucket.
• Good knowledge of RDBMS such as Postgres and MySQL. Should be proficient in SQL and assessing performance of queries. Some ability to monitor and maintain the database is needed.
• Experience with AWS RDS is MUST.
• Minimum 3 years of experience deploying Java applications on the AWS cloud.
• Ability to handle front-end development (Angular JS) is a MUST.
• Experience working with Monday, Atlassian project management tools (JIRA/Bitbucket/Confluence) or similar is a must.