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PopcornApps

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3.2

based on 26 Reviews

10 PopcornApps Jobs

Senior Machine Learning (Gen AI) Engineer

PopcornApps

3.2

based on 26 Reviews

3-6 years

Hyderabad / Secunderabad

1 vacancy

Senior Machine Learning (Gen AI) Engineer

PopcornApps

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Science Data Analytics Python Consulting Healthcare Machine Learning

+ 3 more

Job Description

At Accellor, we are a trusted consulting partner that uses best-of-breed Cloud technology to deliver superior customer engagement and business effectiveness for clients. We bring a deep understanding of Financial, Retail, High Tech, Healthcare, and Retail verticals.

We ve created an atmosphere that encourages curiosity, constant learning, and persistence. We encourage our employees to grow and explore their interests. We cultivate an environment of collaboration, autonomy, and delegation - we know our people have a strong work ethic and a sense of pride and ownership over their work. They are passionate, eager, and motivated - focused on building the perfect solution but never losing sight of the bigger picture.

We are looking for a skilled Machine Learning Engineer to join our team! This role focuses on scaling machine learning systems and building innovative applications using Generative AI. As part of a collaborative, cross-functional team, you will have the opportunity to develop user-facing projects, such as AI-powered quizzes, that bring advanced machine learning to life. Your contributions will be pivotal in enhancing our AI capabilities and creating engaging, impactful solutions.

Building, deploying, and scaling machine learning models and applications, especially in the context of Generative AI.
Developing end-to-end applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other NLP techniques.
Working with Python, Databricks, Langchain, PySpark, Airflow, Jenkins, and AWS to drive development.
Collaborating closely with analytics and data teams and business stakeholders to align on requirements and objectives.
Contributing both independently and in team settings, providing regular updates to stakeholders and delivering robust AI solutions.

Over 5+ years of total experience, with a minimum of 2 years in Generative AI
Strong software engineering skills, particularly in Python.
Experience with frameworks and tools relevant to large-scale machine learning, including Databricks, PySpark, and Airflow.
Familiarity with LLMs, RAG, Langchain, and developing AI applications.
Proficiency in AWS and experience deploying applications on cloud platforms.
Solid understanding of database schema design and querying.
Shift timings will be GMT Hours: 2 PM till 11 PM IST
Bachelor s degree in computer science.

Nice to Have:

Experience building end-to-end applications with LLMs and user-facing projects.
Knowledge of NLP techniques and experience with Generative AI.
Strong problem-solving abilities, excellent communication skills, and the ability to work effectively with minimal guidance in a fully remote environment.

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment or even abroad in one of our global centers.

Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonus.

Employment Type: Full Time, Permanent

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