Pune || AI/ML Engineer
- Globallogic
- 5 - 10 years
- Pune
- 24 days ago
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Job Description
Description:Role Summary: The AI/ML Engineers will be responsible for developing, testing, and deploying machine learning models and AI algorithms that can be integrated into the product suite. The ideal candidate will have expertise in integrating large language models (LLMs) with external knowledge bases, fine-tuning model architectures for specific tasks, and optimizing retrieval strategies to improve the accuracy and relevance of generated content.
Key Responsibilities:
Implement and optimize AI/ML algorithms for product integration.
Collaborate with data scientists to deploy models and integrate them with software products.
Design scalable solutions for AI/ML applications.
Develop automated pipelines for continuous model training and updates.
Work with engineering teams to ensure smooth integration and operation of AI models in production.
Monitor and troubleshoot AI/ML models to ensure reliability and performance.
Required Experience:
4 - 6 years of hands-on experience in machine learning model development and deployment.
Hands-on experience in developing and fine-tuning Generative AI models, specifically focusing on Retrieval-Augmented Generation (RAG) systems.
Experience with frameworks such as Hugging Face, OpenAI, or other GenAI platforms, along with proficiency in data preprocessing and model evaluation, is required
Proficiency in Python, TensorFlow, Keras, PyTorch, or other AI/ML frameworks.
Experience with model deployment and monitoring in production environments.
Strong problem-solving skills and experience with cloud computing platforms (AWS, GCP, Azure).
Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
Requirements:
Role Summary: The AI/ML Engineers will be responsible for developing, testing, and deploying machine learning models and AI algorithms that can be integrated into the product suite. The ideal candidate will have expertise in integrating large language models (LLMs) with external knowledge bases, fine-tuning model architectures for specific tasks, and optimizing retrieval strategies to improve the accuracy and relevance of generated content.Required Experience: 4 - 6 years of hands-on experience in machine learning model development and deployment.
Hands-on experience in developing and fine-tuning Generative AI models, specifically focusing on Retrieval-Augmented Generation (RAG) systems.
Experience with frameworks such as Hugging Face, OpenAI, or other GenAI platforms, along with proficiency in data preprocessing and model evaluation, is required
Proficiency in Python, TensorFlow, Keras, PyTorch, or other AI/ML frameworks.
Experience with model deployment and monitoring in production environments.
Strong problem-solving skills and experience with cloud computing platforms (AWS, GCP, Azure).
Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
Job Responsibilities:
Key Responsibilities: Implement and optimize AI/ML algorithms for product integration.
Collaborate with data scientists to deploy models and integrate them with software products.
Design scalable solutions for AI/ML applications.
Develop automated pipelines for continuous model training and updates.
Work with engineering teams to ensure smooth integration and operation of AI models in production.
Monitor and troubleshoot AI/ML models to ensure reliability and performance.
What We Offer:
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 or client facilities!
Work-Life Balance: GlobalLogic 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(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: GloballogicLocation(s): Pune
Keyskills: kubernetes algorithms python c++ data analytics data natural language processing microsoft azure aiml machine learning artificial intelligence docker evaluation deep learning tensorflow data science gcp computer vision pytorch keras model development aws opencv ml
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GlobalLogic is a full-lifecycle product development services leader thatcombines deep domain expertise and cross-industry experience to connectmakers with markets worldwide. Using insight gained from working on innovative products and disruptive technologies, we collaborate with customers to...
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