Mh Application ops engineer Jobs – 118 Open Jobs Today

Enabling Areas - IT - Deputy Manager - Data Scientist - NLP/Gen AI
Deloitte —Mumbai, Maharashtra
- Azure
- Doctoral degree
- Computer Science
9d
Lead Data Scientist
Credence Global Solutions —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- HIPAA
Senior Product Marketing Manager
QAD, Inc. —Pune, Maharashtra
- Full-time
- Oracle
- Product management
- AI
Quick apply
Senior Full Stack Engineer in C#/.NET/React and AWS
Institutional Shareholder Services —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
Senior ML Software Developer, ML Technology
DNEG —Mumbai, Maharashtra
- C++
- JavaScript
- Scripting
Billable-PG_Business Analyst
Financial Software & Systems (FSS) —Mumbai, Maharashtra
- Java
- Master's degree
- Agile
Senior Machine Learning Platform Engineer
PubMatic —Pune, Maharashtra
- Hybrid work
- Engineering
- Java
- SQL
- Health insurance

More jobs to discover

Find similar jobs that you might be interested in.

Lead Data Scientist 4C
Genpact India Pvt. Ltd. —Pune, Maharashtra
Stay current with the latest trends and advancements in AI and data science to ensure best practices are applied. Data Science Using R - SimpliLearnSimpliLearn.
Quick apply
Lead Data Scientist
Rubain Technologies —Pune, Maharashtra
Only candidates meeting the mandatory technical and domain requirements will be considered for further evaluation.*. Current CTC (Fixed + Variable).
₹45,00,000 - ₹50,00,000 a year
Quick apply
12d

I want to receive the latest job alerts for application ops engineer in mh

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

application ops engineer jobs near mh

Business Analyst jobs in Mumbai, Maharashtra

Full Stack Developer jobs in Mumbai, Maharashtra

Senior Software Engineer jobs in Mumbai, Maharashtra

Data Scientist jobs in Mumbai, Maharashtra

Machine Learning Engineer jobs in Pune, Maharashtra

Business Analyst Intern jobs in Delhi, Delhi

Business Analyst jobs in Perungudi, Chennai, Tamil Nadu

Business Analyst jobs in Jaipur, Rajasthan

Conduent Business Solutions jobs in Kochi, Kerala

Data Analyst, Ludhiana jobs in Ludhiana, Punjab

Business Analyst jobs in Thiruvananthapuram, Kerala

Business Analyst jobs in Tamil Nadu

Startup Data Analyst jobs in Mumbai, Maharashtra

Full Stack Developer Fresher jobs in Ahmedabad, Gujarat

Full Stack Developer jobs in Gota, Ahmedabad, Gujarat

Full Stack Developer jobs in Lucknow, Uttar Pradesh

Full Stack Developer jobs in Kochi, Kerala

Full Stack Developer jobs in Hal , Lucknow, Uttar Pradesh

Full Stack Developer jobs in Kalamassery, Kochi, Kerala

Full Stack Developer jobs in Pimpri Chinchwad, Maharashtra

Enabling Areas - IT - Deputy Manager - Data Scientist - NLP/Gen AI

Deloitte -
Mumbai, Maharashtra

Apply Now

Job details

9 days ago

Qualifications

TensorFlow
Azure
Doctoral degree
Computer Science
Kubernetes
R
System design
Google Cloud Platform
Research
Master's degree
AWS
Docker
Machine learning
Deep learning
Natural language processing
Data visualization
AI
Communication skills
Python

Full job description

Enabling Areas - IT - Deputy Manager - Data Scientist - NLP/Gen AI

Job requisition ID : 107022
Location: Mumbai - Commerz III
Entity: Deloitte Shared Services India LLP

The team

The Enabling Areas – Information Technology team is responsible for building & maintaining different applications for Deloitte South Asia that focuses on providing employee experience.

Your work profile

As a Deputy Manager in our Data Scientist (Information Technology) Team you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: -·

1. NLP Model Development: Design, develop, and implement state-of-the-art NLP algorithms and models to extract insights and patterns from large volumes of textual data. Leverage machine learning and deep learning techniques to tackle NLP tasks such as text classification, entity extraction, and document summarization.

2. Data Preprocessing and Feature Engineering: Preprocess and clean textual data to prepare it for analysis and modeling. Perform feature engineering to extract relevant features and representations from raw text, including word embeddings, n-grams, and syntactic features.

Model Evaluation and Validation: Evaluate the performance of NLP models using appropriate metrics and statistical techniques. Conduct rigorous testing and validation to ensure the accuracy, robustness, and generalization of NLP models across different datasets and domains.

4. NLP Integration: Collaborate with cross-functional teams, including software engineers and product managers, to integrate NLP solutions into production systems and applications. Ensure seamless interoperability and performance optimization of NLP components within larger AI systems.

5. Research and Innovation: Stay up-to-date with the latest research in NLP and Gen AI, and apply cutting-edge methodologies to real-world problems. Explore new methodologies, tools, and approaches to improve the effectiveness and efficiency of NLP solutions. Contribute to research publications and thought leadership in the field of NLP.

6. Data Analysis and Visualization: Analyze and interpret results from NLP models to extract meaningful insights and actionable recommendations. Visualize findings using appropriate techniques and tools to communicate complex information effectively to stakeholders.

Key skills required

Master's or Ph.D. degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
Minimum of 5+ years of proven experience as a Data Scientist with a focus on NLP and 2 years on Gen AI, preferably in industry or research settings.
Strong knowledge of NLP techniques and algorithms, including text preprocessing, feature extraction, and supervised and unsupervised learning methods.
Proficiency in programming languages such as Python or R, and libraries such as NLTK, spaCy, scikit-learn, and TensorFlow/PyTorch for NLP.
Familiarity with data visualization tools such as Matplotlib, Seaborn, or Plotly.
Experience with containerization and orchestration technologies such as Docker and Kubernetes.
Basic understanding of system design and ML-Ops practices.
Excellent problem-solving skills and analytical thinking.
Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Proven ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
Experience with deep learning architectures for NLP, such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformer models (e.g., BERT, GPT).
Knowledge of domain-specific NLP tasks and applications, such as chatbots, document understanding, or information extraction.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

Apply Now

Refine Your Search

application ops engineer jobs in mh

Enabling Areas - IT - Deputy Manager - Data Scientist - NLP/Gen AI

Lead Data Scientist

Senior Product Marketing Manager

Senior Full Stack Engineer in C#/.NET/React and AWS

Senior ML Software Developer, ML Technology

Billable-PG_Business Analyst

Senior Machine Learning Platform Engineer

More jobs to discover

I want to receive the latest job alerts for application ops engineer in mh

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected