11+ Online machine learning Jobs in Delhi, NCR and Gurgaon | Online machine learning Job openings in Delhi, NCR and Gurgaon
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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.
MUST-HAVES:
- LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
- Context & Knowledge Base Design.
- Context & Knowledge Base Design.
- Experience running LLM evals
NOTICE PERIOD: Immediate – 30 Days
SKILLS: LLM, AI, PROMPT ENGINEERING
NICE TO HAVES:
Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments
ROLE PROFICIENCY:
Role Scope / Deliverables:
- Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
- Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
- Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
- Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
- Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
- Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.
KEY DELIVERABLES:
- LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
- Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
- Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
- Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
- AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
- Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.
KEY SKILLS:
Technical & Analytical Skills:
- LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
- Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
- Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
- Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
- Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
- Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
- Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
- Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
- Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
- Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
- Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.
Social Media Manager :
About MrPropTek
MrPropTek is a forward-thinking property technology company transforming how people find, buy, and manage real estate. Whether it's smart property listings, virtual tours, or market insights, we blend innovation with real-world solutions to serve property seekers, investors, and agents alike.
Job Summary
We’re looking for a creative and strategic Social Media Manager to take charge of our digital presence across platforms like Instagram, Facebook, LinkedIn, TikTok, and X (formerly Twitter). The ideal candidate will be passionate about property, tech-savvy, and obsessed with content that converts.
Key Responsibilities
- Develop and execute a comprehensive social media strategy aligned with MrPropTek’s brand and goals.
- Plan, create, and schedule content (posts, reels, stories, videos, etc.) across all major platforms.
- Engage with our online community, respond to comments/messages, and grow follower count organically.
- Collaborate with the marketing and sales teams to promote new listings, services, and campaigns.
- Monitor performance metrics (engagement, reach, conversion) and prepare monthly reports.
- Stay updated with social media trends, tools, and best practices, especially in the real estate and proptech space.
- Manage paid social campaigns (Meta Ads, LinkedIn Ads, etc.) to generate leads and drive traffic.
- Oversee influencer collaborations or brand partnerships when relevant.
Qualifications
- Proven work experience as a Social Media Manager or similar role.
- Excellent knowledge of platforms like Instagram, Facebook, LinkedIn, TikTok, and YouTube.
- Strong creative skills in content creation — writing, basic graphic design (Canva, Adobe Suite), and short-form video editing.
- Analytical mindset with proficiency in tools like Meta Business Suite, Buffer/Hootsuite, Google Analytics, etc.
- Passion or background in real estate, proptech, or digital marketing is a major plus.
- Bachelor’s degree in Marketing, Communications, or related field (preferred but not required).
● Create and maintain optimal data pipeline architecture.
● Assemble large, complex data sets that meet functional / non-functional
business requirements.
● Building and optimizing ‘big data’ data pipelines, architectures and data sets.
● Maintain, organize & automate data processes for various use cases.
● Identifying trends, doing follow-up analysis, preparing visualizations.
● Creating daily, weekly and monthly reports of product KPIs.
● Create informative, actionable and repeatable reporting that highlights
relevant business trends and opportunities for improvement.
Required Skills And Experience:
● 2-5 years of work experience in data analytics- including analyzing large data sets.
● BTech in Mathematics/Computer Science
● Strong analytical, quantitative and data interpretation skills.
● Hands-on experience with Python, Apache Spark, Hadoop, NoSQL
databases(MongoDB preferred), Linux is a must.
● Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
● Experience with Google Cloud Data Analytics Products such as BigQuery, Dataflow, Dataproc etc. (or similar cloud-based platforms).
● Experience working within a Linux computing environment, and use of
command-line tools including knowledge of shell/Python scripting for
automating common tasks.
● Previous experience working at startups and/or in fast-paced environments.
● Previous experience as a data engineer or in a similar role.
We are seeking a dynamic Social Media Marketing Manager to handle our brand’s social media presence and spearhead influencer marketing projects. The ideal candidate will be responsible for developing and executing social media strategies, engaging with audiences, and collaborating with influencers to enhance brand visibility and engagement.
Key Responsibilities:
Develop and implement social media strategies to drive brand awareness, engagement, and conversions.
Manage and optimize brand presence across platforms like Facebook, Instagram, LinkedIn, Twitter, and YouTube.
Plan and execute influencer marketing campaigns, building relationships with key influencers and content creators.
Create and oversee engaging content, including posts, stories, reels, and videos.
Monitor social media trends, competitor activities, and audience insights to refine strategies.
Analyze and report performance metrics, ensuring continuous improvement in engagement and reach.
Collaborate with internal teams, designers, and content creators to align branding and messaging.
Manage paid social media campaigns and optimize ad performance for maximum ROI.
Required Skills & Qualifications:
Experience: Minimum 4+ years in social media marketing and influencer management.
Strong understanding of social media algorithms, trends, and best practices.
Hands-on experience with tools like Meta Business Suite, Hootsuite, Buffer, and Google Analytics.
Proven track record of successfully managing influencer collaborations and partnerships.
Excellent communication, creative writing, and analytical skills.
Ability to work in a fast-paced environment and manage multiple projects effectively.
Job Responsibilities
- .Net framework
- C#
- SQL Server
- HTML
- CSS
- jQuery
- Javascript
- API web integration
- Mobile Application experience will be an added advantage
Required Candidate Profile
- Candidate needs to have good communication skills
- Ready to learn new technologies
- Candidates need to have good analytics skills
- Problem-solving skills
- Effectively communicate with team members
Perks and Benefits
- Day Shift
- Saturdays WFH
- Provident Fund
- Health Insurance
- Employee engagement activities
ITSYS Solutions requires highly skilled and motivated developers with experience of 2-3 years having in-depth knowledge of PHP, XML/JSON and relational databases (MySQL) to work on its web scraping and big data analytics projects.
As a Senior PHP Developer, you will be responsible for
- Interacting and discuss with team-members to strategize solutions for the project.
- Interacting with clients to understand the project requirements and identify deliverables.
- Writing scalable, optimized, efficient and bug free PHP/MySQL code to handle large volumes of data.
- Managing projects and taking responsibility of client deliverables.
- Collaborating with team members and keep them informed about project schedules and status.
Desired Candidate Profile
- Have high proficiency in core PHP, Javascript, MySQL, XML, HTML & CSS.
- Extensive knowledge of relational databases (MySQL) including complex SQL queries.
- Experience of working with large databases.
- Knowledge of consuming and creating Web Services.
- Be innovative, curious and devoted towards technology.
- Have clear programming concepts.
- Have excellent communication skills.
- Have good analytical skills.
Key Skills:Css, Mysql, Html, Javascript, core php, php
Educational Qualification:BE/ B.Tech (Engineering), B.Sc. (Computer Science), BCA (Computer Application) (Computer Science)MCA/ PGDCA (Computer Science)
What we offer:
- A vibrant and energy filled work environment where passion and youth combine to deliver solutions to a global clientele.
- Personal growth with the company
- Regular team outs.
- Weekly off on Saturday & Sunday.
Job Type: Full-time
skills needed:
java
springboot
microservices
kafka/rabbitmq
jpa
Robotics trainer ---
* Hands on experience in technical content writing.
* Embedded C, microcontrollers like ARM, PIC, AVR.
* Communication protocols like CAN, I2C, SPI.
* Basics of Robo control mechanism.
* ADC nad DAC interfacing with sensors.
* Good Communication skills.
We are looking for a Tech with a proficiency in backend technologies to design, develop a new state-of-the-art, paradigm changing product in software development. Responsibilities include evaluating technologies, developing proof-of concept prototypes, designing, and developing complete end-to-end products.
What would you be doing?
- should be able to mentor, guide, and train other engineers.
- should also be able to work with different stakeholders such as business owners, leadership, and customers.
- able to evaluate the business requirements, performance constraints, trade-offs and system limitations when developing software.
- should be well versed with new technologies and software development practices and be able to judge the trade-offs to make well thought out decisions, design choices and build the system for extensibility and robustness.
- The Django developer will be part of the core engineering team, entrusted with the complete architecture, design and development of the product.
- Work on a great product which empowers next generation entrepreneurs from its early phase
What makes you a suitable candidate?
- 1+ years of experience in designing and developing large scale, complex software applications
- Strong analytical, problem solving and design skills
- Strong knowledge of data structure, algorithms, and coding
- Proven experience in any high-level programming languages like Python, Django, DRF, Elasticsearch etc
- Knowledge of MVC architecture and hands-on experience with Spring, Spring security, Spring boot, and Hibernate framework
- Proven experience in database technologies (SQL, NoSQL, MongoDB).
- Working knowledge of developing Restful Micro services, ORM technologies etc
- Experience in container-based deployments
- Working experience in Amazon DynamoDB, Docker, AWS-Lambda
- Experience with Messaging technologies like Kakfa, RabbitMQ, redis etc
- Ability to multitask
- Good communication, organizational and leadership skills



