About Epicenter
For 25 years, Epicenter has been at the forefront of the Technology & Business Process Management industry, driven by a single belief: happy employees deliver exceptional results. Here you’ll find a career built on innovation, led by seasoned experts with over two decades of experience. Our commitment to our team is the secret behind our lasting success and the reason we’re trusted by global clients.
Ready to be part of a team where your happiness is a priority and your work truly makes an impact? Join Epicenter.
About the Job
As a Machine Learning Engineer, you will play a critical role in building, deploying, and optimizing AI/ML systems that support applications across the organization. You’ll work on real-time inference pipelines, LLM fine-tuning, intelligent automation, and natural language processing. This role is ideal for someone who thrives in a fast-paced environment and enjoys delivering cutting-edge machine learning solutions that make a measurable impact.
Location/Hours
Location: Mumbai
Shift: Night (6:30pm-3:30am)
Job Responsibilities / Expectations
- Lead the development of end-to-end machine learning solutions including data extraction, model training, inference, and deployment
- Build and optimize scalable AI applications using tools such as Python, TensorFlow, PyTorch, and transformer-based models (BERT, Llama, GPT-4)
- Implement multimodal systems including OCR, NLP, computer vision, and real-time conversational agents
- Fine-tune LLMs using prompt engineering, custom datasets, and vector search (Pinecone, LangChain) to reduce hallucinations and boost model accuracy
- Develop CI/CD pipelines for model versioning, automated deployment, and cost-aware infrastructure scaling
- Construct and deploy cloud-based ML pipelines using Azure and GCP (Lambda, S3, BigQuery, Cloud Functions)
- Integrate ML systems into full-stack applications (React, FastAPI), ensuring performance, security, and usability
- Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions
- Document model architecture, data flows, and deployment procedures for ongoing support and audit purposes
- Monitor and improve model performance, addressing issues like inference latency and prediction accuracy
- Implement MLOps best practices for model lifecycle management
- Stay current with latest developments in AI/ML and apply innovative techniques to solve business problems
Minimum Qualifications
- Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field
- 3+ years of hands-on experience building and deploying machine learning systems
- Proven experience with LLMs, computer vision, OCR, NLP, and MLOps
- Strong proficiency in Python and machine learning frameworks (TensorFlow, PyTorch)
- Experience with tools and platforms including HuggingFace, FastAPI, React, Jenkins, Docker, Kubernetes
- Strong SQL and data engineering experience with cloud platforms (Azure/GCP)
- Prior exposure to high-impact AI deployments in production environments
- Strong understanding of machine learning theory, deep learning, and data processing pipelines
- Demonstrated ability to reduce model hallucinations and improve inference latency
- Excellent problem-solving skills and ability to work independently on complex challenges
Desired Qualifications
- Experience with cloud-based infrastructure and infrastructure-as-code (Terraform preferred)
- Exceptional communication skills with ability to clearly explain ML concepts to non-technical stakeholders
- Passion for innovation, continuous learning, and mentoring others in the AI/ML community
- Experience with transformer architectures and state-of-the-art NLP models
- Knowledge of distributed computing and large-scale data processing
- Familiarity with A/B testing and experiment design for ML models
- Experience with model monitoring and observability tools
- Understanding of ethical AI and responsible ML practices
- Contributions to open-source ML projects or research publications
- Experience in BPO/BPM or customer service automation applications
Why Join Epicenter?
We believe in investing in our people. At Epicenter, you’ll have the opportunity to make a global impact with a company consistently ranked among the Top 20 BPOs in India. We’re also the proud recipient of the
“Best Customer Service Provider” award for nine consecutive years.
Our commitment to your future is our priority. We offer ongoing training, mentorship, and upskilling opportunities to ensure you stay at the forefront of the industry.