11+ BERT Jobs in Delhi, NCR and Gurgaon | BERT Job openings in Delhi, NCR and Gurgaon

Who we are looking for

· A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

· Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.

· Mentor and coach other team members

· Evaluate the performance of NLP models and ideate on how they can be improved

· Support internal and external NLP-facing APIs

· Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

·       Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioural Skills

· Strong analytical and problem-solving capabilities.

· Proven ability to multi-task and deliver results within tight time frames

· Must have strong verbal and written communication skills

· Strong listening skills and eagerness to learn

· Strong attention to detail and the ability to work efficiently in a team as well as individually

Technical Skills

Hands-on experience with

· NLP

· Deep Learning

· Machine Learning

· Python

· Bert

Preferred Requirements

· Experience in Computer Vision is preferred

Role: Data Scientist

Industry Type: Banking

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

What You’ll Do:

• Improve website rankings on Google and other search engines.
• Research keywords and optimize content.
• Build high-quality backlinks.
• Analyze website performance using tools like Google Analytics.

What We’re Looking For:

• Familiarity with tools like SEMrush or Ahrefs.
• Understanding of keywords, backlinks, and analytics.
• Passionate about digital marketing.

Why Join Us?

• Work on exciting projects.
• Grow your skills with a supportive team.

Engineering Manager – Backend

Opportunity in this role / Why should you join us?

Series D funded supply chain startup.

Requirements

• Software engineering experience of greater than or equal to 7 years
• Experience managing a technical team of at least 3 people
• Exposure to consumer facing products
• Strong technical background and ability to contribute to design and review
• Familiarity with our tech stack or an analogous tech stack

Technologies Used

• Web application frameworks : Ktor, Spring Boot, Ruby on Rails, Node.js, Java Play, AWS Lambda
• Languages : Kotlin, Java, Ruby, Javascript, Python
• Datastores : PostgreSQL, Aerospike, Redis, DynamoDB, Amazon Redshift
• Communication : HTTP, Amazon SQS, Sidekiq, Amazon SNS
• Server management : Amazon ECS, Docker
• Design frameworks : Domain Driven Design, Clean Architecture, Layered Architecture

Roles and Responsibilities

This role requires a person to drive the engineering of a set of products by aligning with business and product

stakeholders and building and upskilling a team to aid in this. The responsibilities include:

Business and product alignment and planning

• Work closely with business and product stakeholders to understand and align with product initiatives and iterations.
• Help shape the engineering requirement by aligning with the product manager and fleshing out concepts and user flows.
• Formalize business requirements into roadmaps and sprints.

1. Product and system development

• Drive high level modeling and design for projects, also focusing on non-functional aspects, including but not limited to database design, communication protocols, deployment systems, etc.
• Drive adoption of design frameworks like domain driven design, clean architecture, etc., resulting in a robust layered architecture.
• Drive good code review practices, using the review process as a mentoring tool to upskill people.
• Ensure test coverage of systems, partly through unit and integration testing, and partly through blackbox testing by collaborating with the Quality Assurance team, via good testing practices.

1. Project Management

• Drive the execution of the project by delegating tasks effectively.
• Resolve blockers through technical expertise, negotiation and delegation.
• Estimate timelines and ensure adherence to them through effective sync-ups and course corrections.

1. Maintenance

• Formulate SLAs and oversee their adherence for the various systems, effectively tracking issues and performance inefficiencies.
• Performance monitoring and optimization for systems.
• Drive technical re-design, remodeling and refactoring of systems for robustness and sustainability.

1. Team Management

• Typically manage a team of 3 - 6 members and a portfolio of 3 - 6 products.
• Do periodic assessment of reportees, chart their career growth paths and train them.
• Recruit members into the team by collaborating effectively with the recruitment team.

Product Overview

You will be contributing to products concerning both customers and partner drivers. Product sectors

include:

• Growth : You’ll build tools to help boost user growth on the platform including our industry bestdriver on-boarding, training and certification system, referral system, and lead managementmmodels.
• Lifecycle Management : Build tools to help users engage with the platform better, which includes rewards and recognition module, subscription service, account management tools, partner and customer wallets and payout modules, and churn detection systems among others.
• Transaction Experience : You’ll help deliver the most delightful booking experience to our customers and drivers. As part of this team, you’ll be responsible for our core booking system, pricing and payment systems, location tracking and filtering services, fraud prevention systems, and in-app ticketing and support among others.
• Fulfilment : As part of the fulfilment team, you’ll work on systems which ensure high degree of ride fulfilment on the platform. Tools including allocation methodologies and system, dynamic pricing, dynamic partner routing, and partner re-activation tools among others.
• Enterprise Solutions : You’ll help Porter’s enterprise customers achieve delivery excellence. You’ll build tools for contract management, fleet management, fleet and route optimisation tools, alerting and monitoring tools, and analytics suite among others.

Lightning job by Cutshort ⚡:

As part of this feature, you can expect status updates about your application and replies within 48 hours (once the screening questions are answered)

About the Company:

At Synez, we have a long history in healthcare and life sciences. It has given us deep insights into the needs of clinicians, researchers, and patients. Our healthcare software development services include consulting, designing, developing, maintaining, and upgrading medical apps that enable healthcare interoperability, better patient engagement, and more accurate diagnostics. We build custom software solutions to deliver efficiency and quality of care.

About the role:

We are looking for top-quality full stack developers to develop services in NodeJS/typescript and deploy on AWS lambda for our UK based client. They will have to work with the product team and QA team to get requirements and ensure high quality.

Skills:

• Strong exposure of architecting digital solutions for Telcos.
• Working experience in leading small to medium transformation program or handling individual track in a large transformation program.
• Candidate must have demonstrable experience in defining technology strategy, selection and roadmaps that enables the business vision.
• Solution outline/impact analysis of new business ideas and driving commercial and technical feasibility assessment

Responsibilities:

• Design reusable frameworks to improve developer productivity and increased reuse according to explicit and implicit requirements. Ensure solutions are built as designed. Drive architecture governance.
• Perform the competitive analysis of products and technologies to provide input on the service offering and input on suitable customers for pursuit.
• Participate in client discussions to understand the problem faced by the customer and articulates the same to internal stakeholders, define and document the problem and get customer agreement, brings in best practices in the industry provide different options in order to assist in identify and define the problem.
• Arrive at possible solution alternatives that factor in gap resolution, impact related functional/technical areas, acceptability of the solution to the user community, technical feasibility and efficiency. In order to assist in arriving at the final solution definition.
• Evaluate and review Design Frameworks and Methodologies and approves design in order to achieve functional and non-functional requirements and conformance to the architecture
• Create, consult and review Architectural decisions, architecture solution, performs reengineering of architectures in order to create solution blueprint to meet project requirement
• Perform As-Is analysis provide to-be recommendation’s, evaluate product technology solution and provide solution to specialized problems in order to provide inputs on technical and domain road map.
• Evangelize the usage of reusable frameworks and artefacts, create knowledge /certification artefacts and evaluation criteria guide or provide technical training in relevant technology areas in order to develop talent in technology /domain.

We are small and growing agile technology team. With offices in the UK and India, we work remotely with UK core hours for our clients. We hold daily stand-ups over video and work closely with client, communicating frequently throughout the day using instant messages and e-mail. We combine a relaxed and friendly culture with a commitment to delivery – we say what we do and do what we say. We believe in investing in our team members and help to grow with us.

• Excellent Written & Oral Communication Skills in English Strong Comprehension Ability
• Exceptional Subject Matter Expertise.
• Intensive and Extensive Internet Research Skills Output Authenticity & Reliability.
• Ability to work under pressure within deadlines; Target and Quality oriented.
• Inclination towards Research and Writing.
• Must possess high level of concentration abilities and must be open to learn new concepts quickly.

• Management - MBA (Finance/HRM/Operations/Project Management) Public.

• Nursing/Medicine - M.Sc.in Nursing/BDS/MDS/MBBS/B-Pharma/M-Pharma

• Molecular Biology/Genetics/Bio-medical Science - B.Tech/ M.Tech/ B.Sc/M.Sc

• Accounting and Finance - C.A/C.FA/B.com/M.com

• LAW - LLB/LLM

What you need to have: