Bacancy Technology
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Ahmedabad · On-site · 3-6 Yrs · Sep 23
Information Technology Support Services · 501 to 1000 Employees · Ahmedabad, India
Bacancy: Driving Digital Excellence Welcome to Bacancy, where innovation meets culture, and every initiative is a step towards digital excellence. With operations spanning over 30 countries, including key hubs in Ahmedabad and New York, Bacancy stands at the forefront of the digital revolution. We empower businesses worldwide with cutting-edge technology integrated into a dynamic work environment. Our team of over 800 experts—including skilled developers, dedicated coders, insightful scrum masters, and innovative solution architects—is committed to guiding your digital transformation. At Bacancy, we don't just achieve results; we amplify your return on investment through strategic innovation. Core Values at Bacancy: - Customer First: Ensuring customer satisfaction is at the heart of what we do. - Embrace Change: Leveraging change as a catalyst for innovation and growth. - Clear Communication: Advocating for transparency and directness in all interactions. - Team Collaboration: Building self-organizing teams that epitomize synergy and efficiency. - Agility in Action: Promoting swift adaptations and continuous learning from every challenge. Join us on a transformative journey where we combine innovation with a vibrant culture to set new standards, bring ideas to life, and achieve unparalleled excellence. Partner with Bacancy for your digital transformation, and let's reach new heights together.
Hiring: Engineering
What employees say
+ Good environment and decent salary
− Not great salary and infrastructure and office facilities are ok ok. They don’t have coffee machines. No snacks etc.
More reviews on the company profile.
Interview experience · Software Engineer Trainee
On campus interview 3 Rounds of Interview + 1 OA. OA - apptitude / basic MCQ (coding , OOPS) / dsa (arrays strings} round 1- OOPS/SQL/ round2 - cv projects/ puzzle problems
Average difficulty · Ahmedabad · 73 reports
More interview insightsJob description
Overview
Key Responsibilities
Responsibilities
- Design, develop, and deploy machine learning and deep learning models for real-world business applications.
- Build and optimize AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and chatbot frameworks.
- Develop NLP-based conversational AI applications, virtual assistants, and intelligent automation solutions.
- Build computer vision solutions for image classification, object detection, OCR, and related use cases.
- Fine-tune, evaluate, and optimize transformer-based models for performance and accuracy.
- Develop and deploy APIs using FastAPI, Flask, or similar frameworks.
- Integrate AI/ML models into production environments and ensure scalability and reliability.
- Work with cloud platforms (AWS, GCP, or Azure) for model training, deployment, and monitoring.
- Collaborate with product, engineering, and data teams to deliver end-to-end AI solutions.
- Stay updated with the latest advancements in Generative AI, LLMs, and machine learning technologies.
Qualifications
- 3-7 years of hands-on experience in AI/ML engineering, machine learning, NLP, Generative AI, or computer vision.
- Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers, and OpenAI APIs.
- Hands-on experience with Retrieval-Augmented Generation (RAG) architectures and prompt engineering.
- Knowledge of machine learning algorithms, model evaluation, and optimization techniques.
- Familiarity with MLOps concepts, model deployment, monitoring, and version control.
- Knowledge of containerization tools such as Docker; exposure to Kubernetes is a plus.
- Strong analytical, problem-solving, and communication skills.
- Exposure to AI orchestration frameworks such as LangChain, LlamaIndex, or LangGraph.
- Knowledge of model serving and inference optimization techniques.
- Exposure to CI/CD pipelines and DevOps practices for AI applications.
- Understanding of AI governance, responsible AI, and security best practices.
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Job application FAQ
Last updated 4 October 2026
- How do I apply for Ai Ml Engineer at Bacancy Technology?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Bacancy Technology may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Ai Ml Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Ai Ml Engineer remote or on-site in Ahmedabad, Gujarat?
- This listing is marked on_site with location Ahmedabad, Gujarat. Confirm details on the job description before applying.
- What skills matter for this Ai Ml Engineer role at Bacancy Technology?
- This is a mid-level Ai Ml Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.