Big Data Developer

POSITION / TITLE: Data Science Lead

Location: Offshore – Hyderabad/Bangalore/Pune

Who are we looking for?

Individuals with 8+ years of experience implementing and managing data science projects. Excellent working knowledge of traditional machine learning and LLM techniques. 

‎ The candidate must demonstrate the ability to navigate and advise on complex ML ecosystems from a model building and evaluation perspective. Experience in NLP and chatbots domains is preferred.

We acknowledge the job market is blurring the line between data roles: while software skills are necessary, the emphasis of this position is on data science skills, not on data-, ML- nor software-engineering.

Responsibilities:

· Lead data science and machine learning projects, contributing to model development, optimization and evaluation. 

· Perform data cleaning, feature engineering, and exploratory data analysis.  

· Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.

· Collaborate with other DS and engineers to deliver projects.

Technical Skills – Must have:

· Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.

· Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.

· Ability to translate complex machine learning problem statements into specific deliverables and requirements.

· Should have worked with major cloud platforms such as AWS, Azure or GCP.

· Working knowledge of SQL and no-SQL databases.

· Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.

· Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.

· Strong understanding of evaluation and monitoring metrics for machine learning projects.

Technical Skills – Good to have:

· Track record of getting ML models into production

· Experience building chatbots.

· Experience with closed and open source LLMs.

· Experience with frameworks and technologies like scikit-learn, BERT, langchain, autogen…

· Certifications or courses in data science.

Education:

· Master’s/Bachelors/PhD Degree in Computer Science, Engineering, Data Science, or a related field. 

Process Skills:

· Understanding of  Agile and Scrum  methodologies.  

· Ability to follow SDLC processes and contribute to technical documentation.  

Behavioral Skills :

· Self-motivated and capable of working independently with minimal management supervision.

· Well-developed design, analytical & problem-solving skills

· Excellent communication and interpersonal skills.  

· Excellent team player, able to work with virtual teams in several time zones.

Backend (Primary Focus) ● Strong knowledge and experience in Object-Oriented Programming (OOP) concepts. ● Strong understanding of Java, Spring Boot, and REST API development. ● Experience in Test-Driven Development (TDD) with Spring Boot. ● Proficiency in developing APIs using Redis and relational databases (MySQL preferred). ● Strong understanding of the AWS cloud platform, with experience using services like S3, Lambda. ● Good understanding of code versioning tools (Git) and bug-tracking systems (JIRA, etc.). ● Knowledge of DocumentDB or any other NoSQL document database is a plus. Frontend (Good to Have / Preferred for Full-Stack Evaluation) ● Hands-on experience with React.js, including state management (e.g., Redux, Context API). ● Experience with modern UI development, including CSS frameworks (Tailwind, Material-UI, Bootstrap, etc.). ● Understanding of REST API integration and handling API calls efficiently in React. ● Familiarity with component-driven development and frontend testing (e.g., Jest, React Testing Library).

What we want to accomplish and why we need you?

Haptik is one of the world's largest Conversational AI companies, having reached over 500 + million devices, and processed over 5 billion+ conversations till date. Haptik has been at the forefront of the paradigm shift of interaction from clicks to conversations. We have built a robust set of technology and tools that can enable any kind of conversational application. With a 400+ member strong team that is set to double in the coming year, Haptik is truly poised to lead the Conversational AI revolution with some of the best minds in the industry.

We are a full-stack conversational AI company from building products to delivering bots for our clients. We are looking for a front-end engineer who can help us build the next generation of enterprise-grade conversational AI platform.

What will you do every day?

As a front-end tech lead you will be responsible for building the Haptik platform which is used by people across the globe. You will be working closely with the product, design and platform team on a day to day basis and be responsible for the look and feel of the product. While you know how to work hard, you also know how to have fun at work and make friends with your colleagues.

Ok, you're sold, but what are we looking for in the perfect candidate?

- Have a keen eye for detail and passionate about UI and UX

- Has worked with a team of FE engineers to set tech processes and standards.

- Has experience in mentoring junior engineers.

- Have a solid understanding of front-end technologies especially React

- Build, maintain and gate-keep the platform tools

- Work closely with the PM and designers to deliver high-quality features

- Work closely with the backend engineers to understand the Interkat Platform and build for scale

- High-level estimating and scoping/breaking down of tasks

- Document features to make them easily understandable to clients

- Participate in code reviews, automated and functional testing, and other aspects of our quality assurance process

- Use and promote standard good coding practices

- Fully participate in a scrum-based, agile development team

- Maintain up-to-date knowledge of technology standards, industry trends, emerging technologies, and software development best practices

- Work experience around optimizing build artifacts and performance monitoring

- Following security standards when using cookies/others to store user information etc.

Requirements :

- 5+ years of experience working on React.js

- Prior experience of leading/mentoring a team is a plus

- Knowledge of flux and redux

- Must have extensive experience working on Javascript, HTML, CSS, animations and UI/UX principles.

- Knowledge of backend technologies is a plus

- Good attention to detail, pixel perfect designs

- Bachelor's Degree in computer science or equivalent

- Good Communication skills

- Hustler with the passion for writing good code

- Team player

- Must have experience in working in an agile environment, exposure to tools like Jira would be an added benefit.

Requirements is such a strong word. We don't necessarily expect to find a candidate that has done everything listed, but you should be able to make a credible case that you've done most of it and are ready for the challenge of adding some new things to your resume.

A Desktop Support Engineer is responsible for providing technical support for computer hardware and software issues in an organization's desktop environment. The role involves assisting employees with troubleshooting, maintaining, and resolving issues related to their desktops, laptops, and peripherals.

Job Summary:

1. Hardware Support:

• Install, configure, and maintain desktops, laptops, and peripherals (printers, monitors, etc.).
• Perform hardware repairs and upgrades.

1. Software Support:

• Troubleshoot and resolve software-related issues, including OS installations, software updates, and application support.
• Ensure proper functioning of office productivity software (MS Office, etc.) and enterprise applications.

1. Network Support:

• Provide assistance in connecting workstations to the company network and resolving connectivity issues.
• Troubleshoot network-related issues on desktops and laptops.

1. User Support:

• Assist employees with troubleshooting technical problems, including login issues, system crashes, and application errors.
• Offer guidance on proper system usage and IT best practices.

1. System Maintenance:

• Regularly update and patch desktop systems to ensure security and functionality.
• Backup important files and data as per company policy.

1. Documentation:

• Maintain logs of issues, solutions, and configurations for future reference.
• Document common problems and resolutions for knowledge-sharing purposes.

1. Customer Service:

• Provide excellent customer service and maintain a professional demeanor when dealing with users' technical issues.

Key Skills:

• Technical Knowledge: Proficient in desktop operating systems (Windows, Mac OS, Linux) and office software.
• Problem-Solving: Ability to diagnose and resolve technical issues efficiently.
• Communication: Strong verbal and written communication skills to interact with end-users.
• Networking Basics: Understanding of network configurations and troubleshooting.
• Time Management: Capable of handling multiple requests and prioritizing tasks.

*Timely Submission of Tender and techno commercial offers. *Support to Regional Sales Team for offers and techno commercial queries.

*Arrange to keep Enquiry Tracking system updated.

*Preparation and analysis of cost sheet.

*Techno commercial discussion with customers.

*Arrange to organize a team to keep back up offers from vender for Non-STD jobs.

*Coordination with D & D for new product developments.

*Able to develop new clients and market segments.

*Know how about the market trend and competitors.

*To deal with the vendors for the offers required during pre-bid stage. *Having the knowledge about the compressor and package related items like heat exchangers, motor, control panel, piping etc.

*Having the knowledge of Reciprocating, Centrifugal air compressor and Reciprocating gas compressor.

*Adequate support to the regions. Sound knowledge of the different types of compressor packages.

*Review and submission of Tender.

*To deal directly with Customer / Consultants for getting drawing approvals, techno commercial discussion.

We have the below job role open with our client:

Embedded Test Engineer (Automotive) | 6-9 Y | | Bangalore (WFO) |

Key Skills:

Candidates experience in Embedded Device Automation testing using Python.

They need to be expert in Python / PyTest

Skillset:

Proficient in Automation framework development

Writing test automation script for Test Plans etc.

Expertise in Python is mandatory.

Experience in test automation using Pytest.

Any backend database like SQL, etc.

Developer skills of Django are good to have.

We are looking for a Blockchain Developer with a focus on scaling best

practices, reducing engineer toil, and ensuring reliability and stability of the NST Blockchain Platform. This engineer will also work with all engineers to understand pain points and find a balance in the “now” vs the “future”, while also proposing foundational Blockchain. This individual will need to take into consideration performance, reliability, stability, and developer happiness to ensure that we are providing a world-class community-building experience for our internal team, external contributors, creators, and users.

Priorities can change in a fast-paced environment like ours, so this role

includes, but is not limited to the following:

1. At least 3+ years of work experience in blockchain related projects

(preferably enterprise blockchain)

2. Good knowledge in Hyperledger Fabric related projects.

3. Knowledge of Data Structures is preferred.

4. Good with either one of the programming languages: JavaScript or Golang

(preferably Golang)

5. Experience working with some DevOps tools like docker, docker-compose,

ansible. (Knowledge of Kubernetes is even better)

6. Experience working with both SQL & NoSQL Databases, DB Migration,

Disaster Recovery.

7. Should be able to manage a small team, in terms of work management,

coding sessions, code review.

8. Good communications skills.

9. Additional certification in either Hyperledger or Kubernetes is preferred.