HR Operations

We’re searching for an experienced Data Scientist with a strong background in NLP and large language models to join our innovative team! If you thrive on solving complex language problems and are hands-on with spaCy, NER, RNN, LSTM, Transformers, and LLMs (like GPT), we want to connect.

What You’ll Do:

• Build & deploy advanced NLP solutions: entity recognition, text classification, and more.
• Fine-tune and train state-of-the-art deep learning models (RNN, LSTM, Transformer, GPT).
• Apply libraries like spaCy for NER and text processing.
• Collaborate across teams to integrate AI-driven features.
• Preprocess, annotate, and manage data workflows.
• Analyze model performance and drive continuous improvement.
• Stay current with AI/NLP breakthroughs and advocate innovation.

What You Bring:

• 4-5+ years of industry experience in data science/NLP.
• Strong proficiency in Python, spaCy, NLTK, PyTorch or TensorFlow.
• Hands-on with NER, custom pipelines, and prompt engineering.
• Deep understanding and experience with RNN, LSTM, Transformer, and LLMs/GPT.
• Collaborative and independent problem solver.

Nice to Have:

• Experience deploying NLP models (Docker, cloud).
• MLOps, vector databases, RAG, semantic search.
• Annotation tools and team management.

Why Join Us?

• Work with cutting-edge technology and real-world impact.
• Flexible hours, remote options, and a supportive, inclusive culture.
• Competitive compensation and benefits.

Ready to push the boundaries of AI with us? Apply now or DM for more info!

Role: Sr. Data Scientist

Exp: 4 -8 Years

CTC: up to 28 LPA

Technical Skills:

o Strong programming skills in Python, with hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras.

o Familiarity with Databricks notebooks, MLflow, and Delta Lake for scalable machine learning workflows.

o Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated deployment.

o Proficiency in data preprocessing, augmentation, and handling large-scale image/video datasets.

o Solid understanding of computer vision algorithms, including CNNs, transfer learning, and transformer-based vision models (e.g., ViT).

o Exposure to natural language processing (NLP) techniques is a plus.

Cloud & Infrastructure:

o Strong expertise in Azure cloud ecosystem,

o Experience working in UNIX/Linux environments and using command-line tools for automation and scripting.

If interested kindly share your updated resume at 82008 31681

Job Description for Data Engineer Role:- 

Must have:

Experience working with Programming languages. Solid foundational and conceptual knowledge is expected.

Experience working with Databases and SQL optimizations

Experience as a team lead or a tech lead and is able to independently drive tech decisions and execution and motivate the team in ambiguous problem spaces.

Problem Solving, Judgement and Strategic decisioning skills to be able to drive the team forward. 

Role and Responsibilities:

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
• Collaborate with digital product managers, and leaders from other team to refine the strategic needs of the project
• Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases
• Defining best practices for data validation and automating as much as possible; aligning with the enterprise standards

Qualifications -

• Experience with SQL and NoSQL databases.
• Experience with cloud platforms, preferably AWS.
• Strong experience with data warehousing and data lake technologies (Snowflake)
• Expertise in data modelling
• Experience with ETL/LT tools and methodologies
• Experience working on real-time Data Streaming and Data Streaming platforms
• 2+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js
• 2+ years working with SQL and NoSQL databases, data modeling and data management
• 2+ years of experience with AWS, GCP, Azure, or another cloud service.

We are seeking an experienced Senior Java Developer specializing in Spring Boot and Apache Camel to join our team. This individual will be responsible for designing, developing, and implementing robust, scalable, and high-performance applications. You will work on complex projects and integrations, leveraging Spring Boot and Apache Camel to streamline business processes and message routing.

Key Requirements:

• 5+ years of experience in Java Development, specifically with Spring Boot.
• Proven experience in using Apache Camel for integrating distributed systems.
• Solid understanding of microservices architecture and RESTful API development.
• Proficiency in Java-based middleware technologies.
• Strong knowledge of message queues (e.g., RabbitMQ, ActiveMQ, Kafka) and their integration with Apache Camel.
• Experience with cloud services such as AWS, Azure, or GCP is a plus.
• Familiarity with CI/CD pipelines and automated deployment processes.
• Experience with Agile development methodologies.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills, both written and verbal.

Bonus Skills:

• Experience with Docker and Kubernetes for containerization and orchestration.
• Knowledge of Apache Kafka for event streaming.
• Experience with modern development tools like Git, Jenkins, and JIRA.

What We Offer:

• A dynamic and collaborative work environment.
• Opportunities for career advancement and skill development.
• Flexible working hours and the ability to work remotely.
• Competitive salary and benefits.

Do you have what it takes?

·      Proficient in C, C++ development, OS concepts, Data Structures, Distributed computing, and Algorithms.

·      Actively engaged in projects related to architecture and design (architecture, design patterns, reliability, and scaling).

·      Excellent problem-solving capability with strong fundamentals in Computer Science.

·      Highly proficient in data structures and algorithms.

·      Ability to pick up new technologies rapidly to convert specifications to low level design.

·      Ability to clearly communicate the intent and approach when producing a code design document.

How can you contribute to our success?

·      Develop frontend as well as backend components for delivering product on cloud platforms.

·      Participate in activities that lead up to the code design. This may include activities such as developing prototypes, proof of concept, compare pros and cons of various implementation choices being considered and recommending the most appropriate one.

·      Mentor and influence junior developers to adhere to good coding standards and become quality conscious.

·      Review critical pieces of code that are developed as per this code design.

·      Ensure that the code being delivered is of the highest quality.

·      Ensure appropriate unit tests and functional as well as non-functional tests are considered.

·      Conceptualize and work towards building processes, methodology, and tools to improve team’s ability to deliver high quality software. 

We are actively seeking a Senior Data Engineer experienced in building data pipelines and integrations from 3rd party data sources by writing custom automated ETL jobs using Python. The role will work in partnership with other members of the Business Analytics team to support the development and implementation of new and existing data warehouse solutions for our clients. This includes designing database import/export processes used to generate client data warehouse deliverables.