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Strong HR Generalist profiles
Mandatory (Experience 1) – Must have 1+ years of relevant experience as an HR Generalist / HR Executive / HR Operations role
Mandatory (Experience 2) – Must have hands-on experience in recruitment, including job postings, resume screening, interview coordination, and reference checks.
Mandatory (Experience 3) – Must have practical exposure to employee onboarding and offboarding processes, documentation, and employee lifecycle management
Mandatory (Experience 4) – Experience in day-to-day HR operations, maintaining employee records, HR databases, and coordination with internal stakeholders.
Mandatory (Tools) – Must be proficient in MS Office and have working experience with ATS and HRIS systems
Mandatory (Soft Skills) – Strong interpersonal, communication, organizational, and multitasking skills with high attention to detail
Mandatory (Company) - Product companies
Mandatory (Note): This role is execution-focused with growth into broader responsibilities over time.
Company: Ethara AI
Location: Gurgaon (Work From Office)
Employment Type: Full-Time
Experience Required: 2–4 Years
Open Roles: Software Engineers (Python Fullstack)
About Us
Ethara AI is a leading AI and data services company in India, specializing in building high-quality, domain-specific datasets for Large Language Model (LLM) fine-tuning. Our work bridges the gap between academic learning and real world AI applications, and we are committed to nurturing the next generation of AI professionals.
Role Overview:-
We are looking for experienced Python Fullstack Software Engineers who can contribute to post training AI development workflows with strong proficiency in coding tasks and evaluation logic. This role involves working on high-impact AI infrastructure projects, including but not limited to:
Code generation, validation, and transformation across Python, Java, JavaScript, and modern frameworks;
Evaluation and improvement of model-generated code responses;
Designing and verifying web application features, APIs, and test cases used in AI model alignment;
Interpreting and executing task specifications to meet rigorous quality benchmarks;
Collaborating with internal teams to meet daily throughput and quality targets within a structured environment.
Key Responsibilities:-
Work on fullstack engineering tasks aligned with LLM post-training workflows;
Analyze model-generated outputs for correctness, coherence, and adherence to task requirements;
Write, review, and verify application logic and coding prompts across supported languages and frameworks;
Maintain consistency, quality, and efficiency in code-focused deliverables;
Engage with leads and PMs to meet productivity benchmarks (8–9 working hours daily);
Stay updated with AI development standards and contribute to refining internal engineering processes.
Technical Skills Required:-
Strong proficiency in Python and nice to have: Java, Node.js;
Strong experience in frontend technologies: React.js, HTML/CSS, TypeScript;
Familiarity with REST APIs, testing frameworks, and Git-based workflows;
Ability to analyze, debug, and rewrite logic for correctness and clarity;
Good understanding of model response evaluation and instruction-based coding logic
Qualifications:-
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field;
2–4 years of experience in a software development role (Fullstack preferred);
Prior exposure to AI/LLM environments or code-based evaluation tasks is a plus;
Excellent written communication and logical reasoning abilities;
Comfortable working from office in Gurgaon and committing to 8–9 hours of productive work daily
Why Join Us
Be part of a high-growth team at the forefront of LLM post-training development;
Work on real-world AI engineering problems with production-grade impact;
Competitive compensation with performance-driven growth opportunities;
Structured workflow, collaborative culture, and technically challenging projects
The Business Development Manager will be responsible for identifying and pursuing new business opportunities, building and maintaining strong relationships with clients, and driving revenue growth. The ideal candidate is a strategic thinker with a proven track record of success in business development and sales.
Key Responsibilities:
Identify, evaluate, and pursue new business opportunities to achieve revenue and growth targets.
Develop and implement strategic business development plans to expand the company's customer base and market presence.
Build and maintain strong, long-lasting client relationships through regular communication and by understanding their needs.
Conduct market research to identify new trends, opportunities, and competitive activities.
Collaborate with internal teams to develop customized proposals, presentations, and sales strategies.
Negotiate contracts and agreements with clients, ensuring mutually beneficial outcomes.
Track and report on business development activities, including pipeline status, revenue forecasts, and market feedback.
Represent the company at industry events, conferences, and trade shows to network and promote the company's offerings.
Stay up-to-date with industry trends and competitors to identify new business opportunities and potential partnerships.
Provide feedback to senior management on market trends, competition, and customer feedback to help shape the company's strategic direction.
Qualifications:
Bachelor's degree in Business, Marketing, or a related field. MBA is a plus.
Proven experience as a Business Development Manager, Sales Manager, or similar role.
Strong understanding of the market, industry trends, and competitive landscape.
Excellent communication, negotiation, and presentation skills.
Ability to build and maintain relationships with clients and stakeholders.
Strong problem-solving skills and the ability to think strategically.
Proficiency in CRM software and Microsoft Office Suite.
Self-motivated, goal-oriented, and able to work independently as well as part of a team.
Responsibilities:
· Collaborate with cross-functional teams, including hardware engineers, system architects, and product managers, to define software requirements and specifications for embedded systems.
· Design and develop efficient, reliable, and scalable embedded software solutions that meet the defined requirements.
· Write, test, and debug code in programming languages commonly used for embedded systems, such as C, C++, and assembly language.
· Interface with hardware components, such as sensors, actuators, microcontrollers, and communication interfaces (UART, SPI, I2C,CAN etc.).
· Develop and implement device drivers, firmware, and low-level software to control hardware peripherals.
· Participate in code reviews to ensure code quality, maintainability, and adherence to coding standards.
· Perform unit testing, integration testing, and system testing of the embedded software.
· Analyse and optimize system performance, memory usage, and power consumption.
· Collaborate with the quality assurance team to identify and resolve software defects.
· Stay up-to-date with industry trends, tools, and technologies related to embedded systems and software development.
· Document software design, code, and test procedures for internal and external use.
· Provide technical support to other teams during product integration, testing, and deployment.
Qualifications:
· Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or a related field.
· Proven experience in embedded software development, including designing, coding, testing, and debugging.
· Proficiency in programming languages such as C and C++.
· Familiarity with Embedded C, 32-bit microcontroller,16-bit microcontroller hardware interfaces.
· Knowledge of real-time operating systems (RTOS) and multi-threaded programming.
· Strong problem-solving skills and ability to troubleshoot complex hardware-software interactions.
· Excellent communication skills and the ability to work effectively in a team.
· Familiarity with communication protocols (UART, SPI, I2C, CAN, Ethernet) is desirable.
· Knowledge of security considerations in embedded systems is an advantage.
Location: Chennai
Planning, Designing and Creating Layout on Photoshop, Editing Images, If worked in Jewelery Business will be Preferable.
Work Timmings :- 9:30 to 6:30Pm
Monday to Saturday
o Convert machine learning models into APIs for applications accessibility
o Running machine learning tests and experiments
o Implementing appropriate ML algorithms
o Creating machine learning models and retraining systems
o Study and transform data science prototypes
o Design machine learning systems
o Research and implement appropriate ML algorithms and tools
o Train and retrain systems when necessary
o Test and deploy models
o Use AI to empower the company with novel capabilities
o Designing and developing machine learning and deep learning system
o Outstanding analytical and problem-solving skills
• Alexa
o Excellent in Python programming
o Experience with AWS Lamda
o Experience with Alexa skills
o Alexa skill directives
o Excellent in NodeJS programming
o Experience with GCP - Dialog Flow and Actions on Google
o Using built-in intents and developing custom intents
o API integration and Postman knowledge

Product Manager
Compensation - ₹18.0L - ₹35.0L
Experience - 5.0 - 7.0 Year(s) : Min 5 yrs of Solid Product management Experience
Location - Bangalore / Mumbai
Working days - 5
Qualification - B.Tech/B.E.
Requirements:
- Candidates shall be working in a product/internet consumer firm and only B2B Product Firms (Not B2C)
- Candidates shall be a full time MBA from a tier1 Institutes
- Candidates shall have experience in Road-mapping, goal setting, managing project execution, A/B testing, UI/UX wire-framing, defining product roll-out strategy.
Responsibilities:
- Own delivery of product initiatives and releases Lead ideation, development, launch, testing, and iteration of new features Translate high-level conceptual product ideas into clearly defined product specifications.
- Collaborate with design, engineering, marketing, and sales to drive the product development process
- Define and execute the LEAD School product vision, priorities and roadmap
- Collaborate with engineering to determine the best technical implementation of the product features by Using your skill on PRD, wireframe, mind map, trello and etc.
- Use data and metrics to help inform roadmap and product decisions to help better acquire, convert and retain users
- Define user stories and product requirements that both reflect and anticipate the needs of LEAD School broad user base Proactively engage with LEAD School users in user research and to identify market opportunities
- Understand the competitive landscape and evaluate market trends to better inform product roadmap.
Skills and Qualifications:
- 3+ years’ experience in a product management role within a B2B software company Experienced being the product owner in agile product teams
- Experience with A/B testing and using data to inform product decisions
- Technical enough to work effectively with engineers to decide on different product paths Design-capable enough to work effectively with designers to decide on good platform UI/UX choices
- Strong prototyping and wireframing skills using tools like Balsamiq, Moqups etc.
- Experienced in managing product backlogs and priorities based on user research and collaborating with internal stakeholder
- Effective decision maker and can help teams understand rationale and reasons for the product decisions and roadmap direction
- Thrive in a fast-paced startup environment
- Self-starter, independent and excellent at driving teams and projects
- Excellent communication skills at all level’s small groups, large groups, and with executives
- Develop high performance, reusable, and reliable DOT net and PL/SQL code.
- Create interface services in Dot Net.
- Ensure the best possible performance and quality of the application
- Help maintain code quality, organization, and automatization
- To set and maintain coding standards.
- Able to mentor junior developers to use new coding techniques.
- Should be process-oriented.
Skills:
-Programming experience on the .NET platform in MVC framework with C# language, creating Web
applications, Web APIs, Windows Service, with good PL/SQL experience.
- PL/SQL in SQL Server/ Oracle
- Skills in HTML, C#, MVC 4, JavaScript, JQuery, AJAX, TFS, IIS
- Visual Studio 2012
- Team player with good communication skills
Key Responsibilities:
- Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
- Good understanding of the underlying business and workings of cross functional teams for successful execution
- Design and develop analyses based on business requirement needs and challenges.
- Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
- Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
- Identify and use appropriate investigative and analytical technologies to interpret and verify results.
- Apply and learn a wide variety of tools and languages to achieve results
- Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
- Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
- Innovate on projects by using new modeling techniques or tools.
- Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
- Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.
Skills:
- 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
- Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
- Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
- Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
- Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
- Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
- Experience in risk and credit scoring domains preferred









