UX Manager

✅ 1. Web Development Intern – Job Description

Overview:

We are looking for a passionate Web Development Intern to join our team. This role offers the opportunity to work on real projects, build responsive web applications, and collaborate with designers and developers in a fast-paced environment.

Key Responsibilities:

• Assist in developing, testing, and maintaining front-end and back-end features.
• Work on HTML, CSS, JavaScript, and modern frameworks (React, Node.js, etc.).
• Collaborate with the design team to translate UI/UX into functional code.
• Debug issues and perform basic code reviews.

Requirements:

• Basic knowledge of HTML, CSS, JavaScript.
• Familiarity with Git and any frontend framework (React preferred).
• Eagerness to learn and take ownership of small modules.
• Currently pursuing or recently completed a degree in CS or related field.

✅ 2. QA Intern – Job Description

Overview:

We are looking for a detail-oriented QA Intern to assist in manual testing of web and mobile applications. You'll learn to write test cases, identify bugs, and ensure the product meets quality standards.

Key Responsibilities:

• Execute test cases and report bugs clearly with screenshots/logs.
• Collaborate with developers to troubleshoot and verify fixes.
• Document test results and track issues using tools like Jira or Excel.
• Participate in QA reviews and feedback sessions.

Requirements:

• Basic knowledge of manual testing concepts.
• Familiarity with writing bug reports.
• Good communication and documentation skills.
• Currently pursuing or recently completed a degree in CS, IT, or QA field.

Requirements

• Senior SD4 engineer/Principal Engineer/ Architect who has led or been part of platform teams inside a large/mid tech company
• Deep expertise working with any of the programming languages to write maintainable, scalable, unit-tested code.Python experience is a bonus - but not required
• Good understanding of REST APIs and the web in general and ability to build a feature from scratch & drive it to completion
• Experience with Kubernetes, Prometheus, Grafana, ELK stack, Load Balancing
• Experience in building a platform team on AWS for Product based companies/start-ups

What You’ll Do

• Build the core technology platform, including Automated provisioning of infrastructure, deployment, and monitoring of services
• Build a central services directory within an organization that shows the cost and health of all services and makes the management of microservices extremely easy
• This involves working with core infrastructure and understanding them in great detail - like Kubernetes, ServiceMesh, Service security
• Mentor/coach engineers to facilitate their development and provide technical leadership

Responsibilities

• Model Development and Optimization: Design, build, and deploy NLP models, including transformer models (e.g., BERT, GPT, T5) and other SOTA architectures, as well as traditional machine learning algorithms (e.g., SVMs, Logistic Regression) for specific applications.

• Data Processing and Feature Engineering: Develop robust pipelines for text preprocessing, feature extraction, and data augmentation for structured and unstructured data.

• Model Fine-Tuning and Transfer Learning:

Fine-tune large language models for specific applications, leveraging transfer learning techniques, domain adaptation, and a mix of deep learning and traditional ML models.

• Performance Optimization: Optimize model performance for scalability and latency, applying techniques such as quantization, ONNX formats etc.

• Research and Innovation: Stay updated with the latest research in NLP, Deep Learning, and Generative AI, applying innovative solutions and techniques (e.g., RAG applications, Prompt engineering, Self-supervised learning).

• Stakeholder Communication: Collaborate with stakeholders to gather requirements, conduct due diligence, and communicate project updates effectively, ensuring alignment between technical solutions and business goals.

• Evaluation and Testing: Establish metrics, benchmarks, and methodologies for model evaluation, including cross-validation, and error analysis, ensuring models meet accuracy, fairness, and reliability standards. • Deployment and Monitoring: Oversee the deployment of NLP models in production, ensuring seamless integration, model monitoring, and retraining processes. 

• 4-8 years of experience in Functional testing with good foundation in technical expertise
• Experience in the Capital Markets domain is MUST
• Exposure to API testing tools like SoapUI and Postman
• Well versed with SQL
• Hands on experience in debugging issues using Unix commands
• Basic understanding of XML and JSON structures
• Knowledge of FitNesse is good to have
• Should be early joinee.

Who are we looking for?  

We are looking for a Senior Data Scientist, who will design and develop data-driven solutions using state-of-the-art methods. You should be someone with strong and proven experience in working on data-driven solutions. If you feel you’re enthusiastic about transforming business requirements into insightful data-driven solutions, you are welcome to join our fast-growing team to unlock your best potential.  

Job Summary 

• Supporting company mission by understanding complex business problems through data-driven solutions. 
• Designing and developing machine learning pipelines in Python and deploying them in AWS/GCP, ... 
• Developing end-to-end ML production-ready solutions and visualizations. 
• Analyse large sets of time-series industrial data from various sources, such as production systems, sensors, and databases to draw actionable insights and present them via custom dashboards. 
• Communicating complex technical concepts and findings to non-technical stakeholders of the projects 
• Implementing the prototypes using suitable statistical tools and artificial intelligence algorithms. 
• Preparing high-quality research papers and participating in conferences to present and report experimental results and research findings. 
• Carrying out research collaborating with internal and external teams and facilitating review of ML systems for innovative ideas to prototype new models. 

Qualification and experience 

• B.Tech/Masters/Ph.D. in computer science, electrical engineering, mathematics, data science, and related fields. 
• 5+ years of professional experience in the field of machine learning, and data science. 
• Experience with large-scale Time-series data-based production code development is a plus. 

Skills and competencies 

• Familiarity with Docker, and ML Libraries like PyTorch, sklearn, pandas, SQL, and Git is a must. 
• Ability to work on multiple projects. Must have strong design and implementation skills. 
• Ability to conduct research based on complex business problems. 
• Strong presentation skills and the ability to collaborate in a multi-disciplinary team. 
• Must have programming experience in Python. 
• Excellent English communication skills, both written and verbal. 

Benefits and Perks

• Culture of innovation, creativity, learning, and even failure, we believe in bringing out the best in you. 
• Progressive leave policy for effective work-life balance. 
• Get mentored by highly qualified internal resource groups and opportunity to avail industry-driven mentorship program, as we believe in empowering people.  
• Multicultural peer groups and supportive workplace policies.  
• Work from beaches, hills, mountains, and many more with the yearly workcation program; we believe in mixing elements of vacation and work. 

 Hiring Process 

• Call with Talent Acquisition Team: After application screening, a first-level screening with the talent acquisition team to understand the candidate's goals and alignment with the job requirements. 
• First Round: Technical round 1 to gauge your domain knowledge and functional expertise. 
• Second Round: In-depth technical round and discussion about the departmental goals, your role, and expectations.
• Final HR Round: Culture fit round and compensation discussions.
• Offer: Congratulations you made it!  

If this position sparked your interest, apply now to initiate the screening process.

Hands on experience in sourcing through job portals and referrals.

Good experience in IT or Non IT recruitment .

Willingness & ability to handle end to end recruitment including internal recruitment.

Should be able to handle multiple requirements simultaneously.

Comfortable with niche hiring & critical search assignments.

Interaction with the candidates and briefing them about the requirement.

Experience in handling walk-in drives.

Interaction with the clients.

Maintain all recruitment-related reports and forms

Should have good working knowledge in Microsoft Excel

Excellent command in verbal and written English.