AmbitionBox
Search
Jobs
- Reviews
- Salaries
- Interview Questions
- About Company
- Benefits
- Jobs
- Office Photos
- Community
Add office photos
Engaged Employer
i
This company page is being actively managed by
Capco Technologies Team. If you also belong to the team, you
can get access from
here
Capco Technologies
Compare
All Filters
136 Capco Technologies Jobs
Machine Learning Engineer (MLops)
8-10 years
Bangalore / Bengaluru
1 vacancy
Machine Learning Engineer (MLops)
Capco Technologies
posted 16hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Strong understanding of LLM architectures and expertise in fine tuning pre trained models on domain specific data.
- Experience with RAG, Prompt Engineering concepts and fundamentals (Vector DBs).
- Experience with containerization and orchestration technologies (Kubernetes, Docker).
- In depth knowledge of machine learning, deep learning, and NLP.
- Manage prioritization and technology work for building NLP, ML & AI solutions experience in experimenting and developing with LLM.
- Strong understanding of NLP techniques and framework such as BERT,GPT or Transformer models.
- Create and manage best practices for ML models integration, orchestration, and deployment, that will ensure secure including data versioning, ingress and model output egress, CI/CD pipelines for MLOps and LLMOps.
- Solid understanding of Machine learning concept and algorithm including supervised and unsupervised learning, model evaluation and deployment strategies in production environment.
- Follow AI best practices, ensuring fairness, transparency and accountability in AI model and system.
Skills Required / Qualification
- At least 8-10 years of experience in deploying end to end data science focused solutions.
- Should be strong technical background eg B.Tech /M.Tech from top tier institutes.
- Expertise in training and fine tune LLMs using popular framework such as (TensorFlow, PyTorch or hugging face transformer) and deployment tools (eg Docker, Kubeflow)
- Good exposure in Python.
- Knowledge in SQL, Pandas or Pyspark.
- Good to have understanding knowledge on GitHub, Confluence and JIRA
- Cloud Platforms knowledge have to: Azure /GCP
- Experience of senior stakeholder management and strong communication/presentation skills
- Excellent verbal and written communication skills.
- Present technical solutions, capabilities, considerations, and features in business terms.
We offer:
- A work culture focused on innovation and building lasting value for our clients and employees
- Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
- A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
- A diverse, inclusive, meritocratic culture
- Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Machine Learning Engineer roles with real interview advice
What people at Capco Technologies are saying
What Capco Technologies employees are saying about work life
based on 500 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Compare Capco Technologies with
TCS
Compare
Infosys
Compare
Wipro
Compare
HCLTech
Compare
Tech Mahindra
Compare
LTIMindtree
Compare
Mphasis
Compare
Hexaware Technologies
Compare
Persistent Systems
Compare
Xoriant
Compare
CitiusTech
Compare
HTC Global Services
Compare
HERE Technologies
Compare
Tietoevry
Compare
Collabera Technologies
Compare
Unisys
Compare
Slk Software Services
Compare
Altimetrik
Compare
Apexon
Compare
TEKsystems
Compare
Similar Jobs for you
Capco Technologies Bangalore / Bengaluru Office Locations
Bengaluru/Bangalore, Karnataka Office
Headquarter
Electronic City, Tower 23, 70/1,2,3,4 Keonics Electronic City, Phase 1, EC4, Bengaluru 560100, India
Bengaluru/Bangalore, Karnataka
560100
560100
Bengaluru/Bangalore, Karnataka Office
Headquarter
Tower S2, Survey No 70,77,78/8A, Doddakannelli, Sarjapur Road, Bengaluru 560035, India
Bengaluru/Bangalore, Karnataka
560035
560035
GCP (Google Cloud Platform) Engineer - Bangalore
7-8 Yrs
Bangalore / Bengaluru
Share an Interview