Business Development Assistant Manager

Qualifications:

1. 2-3 years of experience in project management or a technical role.

2. Strong understanding of project management methodologies (e.g., Agile, Waterfall).

3. Excellent organizational, time management, and problem-solving skills.

4. Strong written and verbal communication skills.

5. Proficiency in project management tools (e.g., Jira, Asana, Trello).

6. Knowledge of software development lifecycle and testing methodologies.

At https://www.holofy.io/">Holofy,We are building an incredible product and to do that we need incredible people.

If you have ambition and drive and want to own your roadmap in a company that knows how to innovate and scale, we want to talk to you.

We work in small, self-managing, collaborative and agile/Kanban teams and are looking for great technology developers who can work in the same.

Location - Remote/WFH

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Pre-requisites:

• Hands on experience in mobile application development for at least 2 to 5 years.
• Hands on working experience in Swift.
• Hands on working experience in Offline storage like CoreData/Realm.
• Experience in multithreaded programming and memory optimization
• Ability to learn and grow in a fast paced setup.
• Working knowledge of iOS Architectural Components and Design Patterns
• Very good debugging skills
• Good knowledge in implementing Pixel Perfect designs
• Good in Data Structures and Algorithms.

Responsibilities:

• Coming up with best practices to help the team achieve their technical tasks and continually thrive in improving the technology of the product/team.
• Driving the adoption of best practices & regular Participation in code reviews, design reviews, architecture discussions.
• Experiment with new & relevant technologies and tools, and drive adoption while measuring yourself on the impact you can create.
• Implementation of long term technology vision for your team.
• Responsible for complete architecture of your product;
• Creating architectures & designs for new solutions around existing/new areas
• Decide technology & tool choices for your team & be responsible for them.

What else we can offer:

• Limitless growth and encouragement to be innovative and challenge status quo.
• Exceptional compensation & benefits and performance-based recognition & rewards.
• Open door policy and flexible working hours and Medical coverage.

• Experience in design and architecture.
• Sales cloud and service cloud expertise.
• Multi brand, and associated security model is a key problem statement.
• Channel integration using LWC is also a big topic of design discussions
• Telco knowledge,TMF

“Re-imaging credit and payments from First Principles”

Payments is an interesting engineering challenge in itself with requirements of low latency, transactional guarantees, security, and high scalability. When we add credit and engagement into the mix, the challenge becomes even more interesting with underwriting and recommendation algorithms working on large data sets. We have eliminated the current call center, sales agent, and SMS-based processes with a mobile app that puts the customers in complete control. To stay agile, the entire stack is built on the cloud with modern technologies. 

OneCard (Best credit card app) : http://www.getonecard.app/">www.getonecard.app

OneScore (Over 10 million downloads): http://www.onescore.app/">www.onescore.app

What you will do:

• Execute new ways of attracting and hiring tech and product talent - PAN India across various technologies.
• Manage complete recruitment life cycle (Source > Screen > Interview > Hire)
• Conduct interview assessments combining various methods including technical assessments.
• Building a healthy talent pipeline across the tech/ product domain.
• Deliver exceptional candidate experience throughout the process.
• Collaborate with the HR team, delivering on key internal SLAs.
• Ability to conduct market intelligence in sourcing candidates, mapping, negotiating offers and decision-making.
• Manage vendor relationships.

Who you should be?

• Passionate about technology, hiring and networking with people.
• Minimum 3 to 5 years of Technical recruitment experience (preferably with Product/ Fintech Companies/ startups).
• Comfortable working with a fast-paced startup environment.
• Skilled with G-Suite applications, preferably ATS experience.
• Preferably someone with a technical education background.
• Strong communicator and go-getter.

Work Location: Aundh, Pune office (the role is on-site with WFH flexibility owing to environment and business drivers)

Job Responsibilities:

• Apply your knowledge of ML and statistics to conceptualise, experiment, develop & deploy machine learning & deep learning systems.
• Understanding the business objectives & defining the right target metrics to track performance & progress.
• Defining & building datasets with the appropriate representation techniques for learning.
• Training & tuning models. Running evaluation & test experiments on the models.
• Build ML pipelines end to end. (Everything MLOps.)
• Building pipelines for the various stages.
• Deploying models.
• Troubleshooting issues with models in production.
• Reporting results of model performance in production.
• Retraining, performance logging & maintenance.
• Help the business with insights for better decision-making. You will build many predictive models for internal business operations
  you will derive insights from the trained models & data to help the product & business teams make better decisions.

Requirements:

• 2+ years of work experience as an ML engineer or Data Scientist with a Bachelors Degree in Computer science or related field
• Theoretical & practical knowledge of Machine Learning, Deep Learning and Statistical methods. (NLP Tasks, Recommender Systems, Predictive Modelling etc)
• Since Pepper is a content company, you will work on many interesting text based problems. Solid understanding of Natural Language Processing techniques with Deep Learning is a must for this role.
• Familiarity with the popular NLP applications and text representation architectures & techniques: text classification, machine translation, named entity recognition, summarisation, question answering, zero-shot learning etc.  Bag of Words, TF-IDF, Word2vec, GloVe, BERT, ELMo, GPT etc.
• Experience with ML frameworks (like Tensorflow, Keras, PyTorch) & libraries like Sklearn.
• Experience with ML infrastructure & shipping models.
• Excellent programming & algorithmic skills. Good understanding of Data Structures and algorithms (fluent in at least one object oriented programming language). Proficiency in Python is a must.
• Strong understanding of database systems & schema design. Proficient in SQL

Please let us know if you are interested in the above opening and if interested please let us know your

Current CTC :

Expected CTC :

Notice Period :

Relevant experience in  Machine Learning :

Relevant experience in Deep Learning:

Relevant experience in NLP Applications:

Regards

Ashwini