Machine Learning

Sr ML Engineer

Location: [Noida]

Experience: [6+ years]

Type: [Full-time]

Mandatory Skills - Python, NLP (SpaCy, Hugging Face, BERT, LLaMA), and ML frameworks (TensorFlow, PyTorch, Scikit-learn).

Responsibilities:

• Design and develop ML models to analyze brand reputation using social media, news, and external data feeds.

• Build data pipelines to ingest, clean, and process unstructured text from multiple sources (Twitter, Reddit, Google News, etc.).

• Develop sentiment analysis, topic modeling, and anomaly detection algorithms.

• Implement real-time dashboards for brand sentiment insights using visualization tools.

• Optimize and fine-tune NLP models for entity recognition and trend analysis.

Requirements:

• Strong experience with Python, NLP (SpaCy, Hugging Face, BERT, LLaMA), and ML frameworks (TensorFlow, PyTorch, Scikit-learn).

• Expertise in web scraping, APIs (Twitter, Google News, RSS), and data engineering.

• Experience with vector databases (FAISS, Pinecone) & LLM-based text embeddings.

• Familiarity with cloud platforms (GCP or Azure) and big data processing (Spark, Kafka, Airflow).

• Knowledge of MLOps, model monitoring, and CI/CD for ML pipelines is a plus. 

Role

We are looking for a  Senior Software Engineer - Python, React to join our engineering team and help us develop and maintain various software products.

You should be comfortable around front-end and back-end coding languages, development frameworks, and third-party libraries. You should also be a team player with a knack for visual design and utility.

Ultimately, you’ll build highly responsive web applications that align with our business needs.

Responsibilities

• Write effective, scalable code
• Develop front-end and back-end components to improve responsiveness and overall performance
• Integrate user-facing elements into applications
• Test and debug programs
• Improve functionality of existing systems
• Implement security and data protection solutions
• Assess and prioritize feature requests
• Coordinate with internal teams to understand user requirements and provide technical solutions

Qualifications

• BSc/BE/BTech in Computer Science, Engineering or a related field
• Must have 4+ years of work experience as a Python/Django (Back-end) and React (Front-end) developer
• Expertise in Django Framework. Other frameworks like Flask Pyramid knowledge are good to have
• Strong experience with Linux-based infrastructures, Linux/Unix administration, and AWS.
• Proficient in Terraform which allows migration to Kubernetes 
• Experience with DevOps toolchains such as Docker, Travis CI, Jenkins, Git.,
• Understanding of fundamental design principles behind a scalable application
• Able to create database schemas that represent and support business processes
• Knowledge of object-relational mapping (ORM)
• Able to implement automated testing platforms and unit tests
• Proficient understanding of code versioning tools (Git) 
• React experience is good to have
• Team spirit
• Good problem-solving skills

InViz is Bangalore Based Startup helping Enterprises simplifying the Search and Discovery experiences for both their end customers as well as their internal users. We use state-of-the-art technologies in Computer Vision, Natural Language Processing, Text Mining, and other ML techniques to extract information/concepts from data of different formats- text, images, videos and make them easily discoverable through simple human-friendly touchpoints. 

TSDE - Data 

Data Engineer:

• Should have total 3-6 Yrs of experience in Data Engineering.
• Person should have experience in coding data pipeline on GCP. 
• Prior experience on Hadoop systems is ideal as candidate may not have total GCP experience. 
• Strong on programming languages like Scala, Python, Java. 
• Good understanding of various data storage formats and it’s advantages. 
• Should have exposure on GCP tools to develop end to end data pipeline for various scenarios (including ingesting data from traditional data bases as well as integration of API based data sources). 
• Should have Business mindset to understand data and how it will be used for BI and Analytics purposes. 
• Data Engineer Certification preferred 

SpringML is looking to hire a top-notch Data Engineer who is passionate about working with data and using the latest distributed framework to process large datasets. As a Data Engineer, your primary role will be to design and build data pipelines. You will be focused on helping client projects on data integration, data prep and implementing machine learning on datasets. In this role, you will work on some of the latest technologies, collaborate with partners on early win, consultative approach with clients, interact daily with executive leadership, and help build a great company. Chosen team members will be part of the core team and play a critical role in scaling up our emerging practice.

Title-Data Engineers 
Location-Hyderabad
Work Timings-10.00 AM-06.00 PM  

• Total of 3-5 years of experience building cutting-edge products.
• Must have a degree in Computer Science or a related field. Strong understanding of object-oriented programming, concurrency, and fundamentals of computer science.

• Technically Hands-on, prior experience with scalable Architecture.
• Bring 3-5 years of software engineering and product delivery experience, with a strong background in algorithms.
• Excellent command over Data Structures and Algorithm Proficiency in implementation of algorithms and use of advanced data structures to solve problems in computing
• Exceptional coding skills in an Object-Oriented programming language (Python preferred with Django framework).
• Strong problem-solving and analytical skills.
• Experience with web technologies Java/Python, Linux, Apache, MySQL, solr, memcache, redis.
• Experience in architecting & building real-time, large-scale e-commerce applications.
• Experience with high-performance websites catering to millions of daily traffic is a plus.

• Java/ Python, MySQL, Redis, ElasticSearch, Problem Solving, Scalability, Design Patterns, Distributed System

• Develop complex software products that include scale, algorithmic complexity, and a huge amount of data.
• Build cutting-edge scalable systems by writing simple and efficient code.
• Code, develop, design, and architect features related to the existing application. We expect you to own modules end to end and take pride in the work products you ship
• Contribute to all aspects of an agile software development lifecycle including design, architecture, development, documentation, testing, and operations.
• Design, implement, and maintain highly scalable, multi-tier, distributed server software applications
• Deliver across the entire app life cycle, design, build, deploy, test, release to app stores, and support
• Working directly with developers and product managers to conceptualize, build, test, and release products
• Take responsibility for performance and stability for all server functions
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency

• 5+ years hands-on experience with designing, deploying and managing core AWS services and infrastructure
• Proficiency in scripting using Bash, Python, Ruby, Groovy, or similar languages 
• Experience in source control management, specifically with Git
• Hands-on experience in Unix/Linux and bash scripting
• Experience building, managing Helm-based build and release CI-CD pipelines for Kubernetes platforms (EKS, Openshift, GKE) 
• Strong experience with orchestration and config management tools such as Terraform, Ansible or Cloudformation  
• Ability to debug, analyze issues leveraging tools like App Dynamics, New Relic and Sumologic 
• Knowledge of Agile Methodologies and principles 
• Good writing and documentation skills
• Strong collaborator with the ability to work well with core teammates and our colleagues across STS

                                                       JD – Engineering Manager Role

Responsibilities:

• Designed, developed and deployed cloud-native applications (we use AWS)
• Working on or leading enterprise tech products and worked with enterprise customers
• Mentor & grow / Hire Engineering Managers to lead up these individual units.
• Work closely with Product Management, Business Development and Operations team and enable them by providing scalable and high quality technology solutions at a rapid pace.
• Set up the organisation & processes to enable timely delivery of projects with high quality.
• Set up best practices for development and champion their adoption.
• Well versed in Software Architecture and Design - You should be able to spot flaws in the existing architecture and design. You would help us refactor and re-architecture the code for easier and faster development.
• Oversee Architecture & design of technically robust, flexible and scalable solutions.
• Perform well in uncertainties and collaborate and work with unclear interfaces to other teams in our rapidly evolving organisations.
• Create clear career paths for team members and help them grow with regular & deep mentoring.
• Identify, define, and coordinate the training needs of the team.
• Perform regular performance evaluation and share and seek feedback on a regular basis
• Building and maintaining data capabilities at KredX while taking care of scaling, privacy and processing aspects.
• Ability to work with external partners and vendors to integrate with KredX product
• Write blogs and other technical papers to share the lessons with community both inside and outside the company and or participates in technical events to get new knowledge to the organisation while improving brand of engineering team at KredX
• Appropriately escalate any issues/concerns that require immediate attention from other affected parties
• Always be thinking about the engineering systems and business from different angles - fraud, downtimes, scale, business direction and more

Requirements:

• Experience in working with large scale unstructured data, and data science
• Deep Understanding of enterprise grade technologies.
• Deep understanding & expertise with highly transactional, large relational and complex systems.
• Strong leadership skills.
• Possess superb troubleshooting and problem analysis skills.
• Knowledgeable about new engineering paradigms and developments in software engineering