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We are looking for a skilled ML Engineer with 3–5 years of experience in building and deploying production-grade AI solutions, particularly around LLMs, RAG systems, and agentic AI frameworks. The role involves designing end-to-end ML architectures, optimizing models at scale, and delivering client-ready AI solutions. You will collaborate closely with stakeholders, mentor junior engineers, and drive AI projects from experimentation to production.

What will you need to be successful in this role?

Core Technical Skills

• Strong hands-on experience with Python for ML/AI (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)

• Proven experience deploying production LLM applications with 1M+ tokens processed

• Advanced prompt engineering expertise including ReAct, meta-prompting, and function calling

• Production experience with RAG systems including hybrid search and re-ranking

• Deep understanding of embedding models and vector databases at scale

• Experience with agentic AI frameworks (LangGraph, CrewAI, or AutoGen)

• Strong knowledge of LLM evaluation frameworks (RAGAS, LLM-as-judge patterns)

• Experience implementing multi-agent systems and orchestration

• Proficiency with cloud ML platforms (AWS SageMaker, Azure ML, or Vertex AI)

Advanced Capabilities

• Experience with model fine-tuning (LoRA, QLoRA, PEFT, instruction tuning)

• Knowledge of knowledge graphs and graph-based RAG implementations

• Understanding of model hosting, inference optimization, and cost management

• Experience with MLOps pipelines, CI/CD for ML, and model versioning

• Ability to architect end-to-end ML solutions from data ingestion to deployment

• Experience with data pipelines and ETL for ML workflows

• Proficiency in containerization and orchestration (Docker, Kubernetes)

Client Engagement & Delivery

• Experience presenting technical solutions to clients and stakeholders

• Ability to translate business requirements into technical ML solutions

• Track record of delivering client POCs and production implementations

• Experience creating technical documentation and implementation guides

Good to have

• Experience hosting private LLMs (7B-13B models on-premises or cloud)

• Knowledge of graph databases (Neo4j) and graph neural networks

• Experience with streaming and real-time ML inference

• Published research papers or contributions to open-source ML projects

• DeepLearning.AI certifications in Agentic AI, RAG, or Finetuning

• AWS/Azure ML certifications or working towards them

Competencies

• Excellent verbal and written communication skills

• Strong mentoring ability for junior ML engineers

• Self-driven with ability to work independently on complex problems

• Excellent problem-solving skills with systematic debugging approach

• Proactive ownership of projects from ideation to deployment

• Ability to stay current with rapidly evolving AI/ML landscape

• Excellent academic record – B.E./B.Tech, MCA,

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. 

Experience: 8-15 Years

Qualification: BE / B. Tech 

Location: Pune, Remote

Technical Know -How: React.js/ReactJs, Java Spring Boot, Spring Framework, Java Spring developers, Rest API, Microservices, front end and Back-end technologies etc.

Key Responsibilities

• Work with team of Java & Springboot Developers in the design, development, and maintenance of applications.
• Work with business stakeholders and technical teams to gather and analyze requirements for Java & Springboot applications.
• Lead a team of developers in building scalable, secure, and high-performance applications using React and Spring Boot.
• Drive end-to-end ownership of application development including requirement analysis, design, coding, testing, and deployment.
• Collaborate with product owners, architects, and cross-functional teams to define and deliver high-quality solutions.
• Ensure adherence to coding standards, best practices, and agile development methodologies.
• Mentor and guide team members, conduct code reviews, and encourage technical excellence.
• Oversee application performance tuning, debugging, and troubleshooting in production and non-production environments.
• Participate in architectural discussions and contribute to technology roadmaps.

Required Skills & Experience

• Bachelor’s degree in computer science, computer engineering or similar.
• Excellent communication skills.
• Critical thinker and good problem-solver.
• 8–15 years of overall software development experience, with at least 3 + years in a lead/mentorship role.
• Strong proficiency in React.js, JavaScript/TypeScript, HTML5, CSS3, Redux, and related libraries/frameworks.
• Solid backend development experience using Spring Boot, Spring Security, REST APIs, and Microservices architecture.
• Strong understanding of Test Driven Development ( Junit)
• Write efficient and well-structured code to implement business logic and functionality on the Java platform.
• Perform unit testing and debugging to ensure the quality and reliability of developed applications.
• Maintain and enhance existing Java & Springboot applications by troubleshooting issues, implementing bug fixes, and optimizing performance.
• Strong understanding of RDBMS/NoSQL databases (e.g., MySQL, MongoDB / Azure Cosmos DB).
• Experience with cloud platforms (AWS / Azure / GCP) and containerization (Docker, Kubernetes).
• Proficiency in version control (Git), CI/CD pipelines, and DevOps practices.
• Strong problem-solving skills, debugging expertise, and performance optimization experience.
• Excellent communication and leadership skills with the ability to drive technical discussions
• Good knowledge of security best practices (OAuth2, JWT, SSO, etc.).
• Good to have experience with message brokers (Kafka, Azure Service Bus).

We are looking for a highly skilled Full Stack Developer to design and scale our real-time vehicle tracking platform. You will be responsible for building high-performance web applications that process live GPS data and visualize it through interactive map interfaces.

Key Responsibilities

Real-Time Data Processing: Develop robust back-end services to ingest and process high-frequency GPS data from IoT devices.

Map Integration: Design and implement interactive map interfaces using tools like Google Maps API or Mapbox for real-time asset visualization.

Geofencing & Alerts: Build server-side logic for complex geospatial features, including geofencing, route optimization, and automated speed/entry alerts.

API Development: Create and maintain scalable RESTful or GraphQL APIs to bridge communication between vehicle hardware, the database, and the user dashboard.

Database Management: Architect and optimize databases (e.g., PostgreSQL with PostGIS) for efficient storage and querying of spatial-temporal data.

Performance Optimization: Ensure high availability and low-latency response times for tracking thousands of simultaneous vehicle connections.

Required Technical Skills

Front-End: Proficiency in React.js, Angular, or Vue.js, with experience in state management (Redux/MobX).

Back-End: Strong experience in Node.js (Express/NestJS), Python (Django/Flask), or Java (Spring Boot).

Mapping: Hands-on experience with Google Maps SDK, Leaflet, or OpenLayers.

Real-time Communication: Expertise in WebSockets or Socket.IO for live data streaming.

Databases: Proficiency in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/Redis) for caching.

Cloud & DevOps: Familiarity with AWS (EC2, Lambda), Docker, and Kubernetes for scalable deployment.

Qualifications

Education: Bachelor’s or Master’s degree in Computer Science or a related field.

Experience: 3–6+ years of professional full-stack development experience.

Niche Knowledge: Prior experience with telematics, IoT protocols (MQTT, HTTP), or GPS-based applications is highly preferred.

Key Responsibilities

1. Architect & Design

• ○ Define and maintain service architecture in Go and Node.js, ensuring scalability, resilience, and low latency.
• Lead the creation and upkeep of comprehensive Entity-Relationship Diagrams (ERDs) and maintain an up-to-date data model library.

2. Team Leadership & Mentorship

• Manage, mentor, and inspire a diverse team of 5–10 backend engineers (“maverick” talent), fostering collaboration, autonomy, and ownership.
• Conduct regular code reviews, design discussions, and performance feedback sessions.

3. AI/ML Integration

• Collaborate with Data Science and ML engineers to integrate OpenAI models (e.g., GPT-4) for features like smart audio transcription, summarization, and recommendation.
• Work with DataStax (Cassandra) or similar NoSQL systems to power low-latency user analytics and AI inference pipelines.

4. Delivery & Quality

• Establish and enforce best practices for CI/CD, automated testing, performance benchmarking, and observability (metrics, logs, tracing).
• Own SLA/SLOs and incident response processes, driving rapid root-cause analysis and post-mortems.

5. Cross-Functional Collaboration 

• Partner with Product, UX, and DevOps to translate business goals into technical roadmaps and deliver on tight timelines.
• Evangelize backend and data architecture decisions across the engineering organization.

Must-Have Qualifications

● Technical Expertise:

1. 6+ years backend experience with Go and Node.js, building microservices in production.
2. Deep understanding of RESTful APIs, gRPC, message queues (Kafka/RabbitMQ), and event-driven architectures.

• Data Modeling:

1. Proven ability to author and maintain ERD documents, relational and NoSQL schema design (PostgreSQL, DataStax Cassandra).

● Team Leadership:

1. 2+ years managing high-performance engineering teams, with a track record of growing and mentoring “maverick” engineers.

● AI/ML Integration:

1. Hands-on experience integrating AI/ML models, preferably OpenAI APIs or
2. custom ML pipelines, into backend systems

● Operational Excellence:

1. Strong background in designing CI/CD pipelines (Jenkins/GitHub Actions), containerization (Docker/Kubernetes), and cloud services (AWS/GCP).

Nice-to-Have

● Experience with GraphQL or real-time streaming architectures (WebSockets).

● Familiarity with large-language‐model fine-tuning and hosting on infrastructure like AWS SageMaker or Azure ML.

● Background in user-centric analytics and personalization algorithms.

● Open source contributions in Go or Node.js ecosystems.

What We Offer

● Competitive salary with performance bonuses and equity options.

● Flexible work hours and hybrid work policy.

● Generous learning & development budget for conferences, courses, and certifications.

● A culture that values creativity, ownership, and rapid experimentation.

● Opportunity to shape the future of audio social in India’s biggest emerging markets.

Greetings from Mazenet!

Hope you are doing well !!

We are hiring Python Full Stack Developer for one of our clients.

JD:

1. In Pune, should be working full time from Pune office

2. 4-5 years experience full stack developer

3. Backend : Python , Pandas , APIs , Webserver Ngnix, Data Pipelines

4. Cloud : AWS, AWS API Gateway, AWS Lambda functions, S3 buckets, EC2 instances

5. Frontend : Javascript, React

6. Database : MySQL, Postgres, any document DB

• Kindly let me know if you are interested to proceed further.
• 
  
• Please share with your friends so that it will reach the interested people.

• Build and deploy architecture for complex blockchain solutions.
• Maintain and extend current client- and server-side applications responsible for integration and business logic
• Be involved in the global blockchain community—work on implementing and integrating the latest improvement proposals
• Build cross-chain bridges.
• Building on-chain governance

• Strong software development background.
• Experience in Solidity.
• Worked with Defi offerings such as staking, farming, flash loans, etc.
• Experience with building on Ethereum & Matic.
• Strong knowledge of concurrency and writing efficient and safe multithreaded code
• Strong knowledge of common algorithms and data structures
• Familiarity with basic cryptography
• Familiarity with P2P networks
• Strong knowledge of bitcoin-like blockchains

• building an ERC-20 token with an in-built unlock schedule.
• building a smart contract to accept a certain ERC-20 token and take actions based on it
• farming/staking system
• collateral-based lending
• cross chain development
• on-chain governance
• Deploying NFTs

• Remote first company
• Quarterly appraisal and bonus
• Health insurance Benefits of INR 5,00,000
• Employee professional development - Each employee has 5% of their monthly remuneration, annually to spend on educational activities or material
• Flexible working hour

And much more...

Ideal candidate should be comfortable with Code Igniter, MySQL.

Additional Requirement - CI with installation process

Experience 3 to 5 yrs               

Notice period- Immediate to 15 days

• 10+ years of experience in entire gamut of Accounts
• Regular accounting and periodical finalization
• Internal financial controls, systems & processes implementation, fine-tuning & adherence
• Decent Communication Skills and close interactions with all the Depts
• Budgeting, cash flow & MIS besides responsible for all statutory compliances which includes Taxation
• Immediate joiners are preferred