Data Scientist - Machine Learning & AI

Review Criteria

• Strong Senior Data Scientist (AI/ML/GenAI) Profile
• 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
• Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
• Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows

Preferred

• Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems
• Preferred (Education) – B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

Job Specific Criteria

• CV Attachment is mandatory
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

Company is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.

Responsibilities:

• Own the full ML lifecycle: model design, training, evaluation, deployment
• Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
• Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
• Build agentic workflows for reasoning, planning, and decision-making
• Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
• Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
• Collaborate with product and engineering teams to integrate AI models into business applications
• Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices

Ideal Candidate

• 5+ years of experience in designing, deploying, and scaling ML/DL systems in production
• Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
• Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
• Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
• Strong software engineering background with experience in testing, version control, and APIs
• Proven ability to balance innovation with scalable deployment
• B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
• Bonus: Open-source contributions, GenAI research, or applied systems at scale

🚀 Hiring: Node.js Developer

⭐ Experience: 2+ Years

📍 Location: Mumbai (Andheri East)

⭐ Work Mode:- 5 Days Work From Office

⏱️ Notice Period: Immediate Joiners or 15 Days

(Only immediate joiners & candidates serving notice period)

We’re looking for a passionate Node.js Developer to join our team! If you have hands-on experience with Node.js, Express.js, REST APIs, and databases (such as MongoDB/MySQL/PostgreSQL), we want to hear from you.

✅ Key Skills:

• Strong in JavaScript (ES6+), Node.js, Express.js
• Strong knowledge of JavaScript (ES6+), Express.js, and asynchronous programming.
• Experience with databases (MongoDB, MySQL, or PostgreSQL).
• Familiarity with REST APIs, authentication (JWT/OAuth), and security best practices.
• Experience with Git/GitHub and Agile development methodologies.
• Basic knowledge of cloud platforms (AWS, Azure, GCP) is a plus.
• Develop, test, and maintain server-side applications using Node.js.

• Contribute to all stages of the software development lifecycle
• Design, implement and maintain Java-based applications that can be high-volume and low-latency
• Analyze user requirements to define business objectives
• Envisioning system features and functionality
• Define application objectives and functionality
• Ensure application designs conform with business goals

We are looking for candidates for Test Lead with experience in Loans with Indian financial organizations.

Below is the job requirement

1. Should have at least 6+ Years of experience on Loan Origination domain

2. Should have Team Handling and Governance experience of atleast 2+ years

3. Database, API testing exposure should be there

4. Testing Concepts should be clear

5. Should be able to WFO at Noida Location

Role & Responsibilities -:

1. Strong knowledge of PHP web frameworks such as Laravel
2. Knowledge of object oriented PHP programming & Restful API
3. Strong knowledge of Akamai CDN, Redis, AWS services
4. Understanding of LAMP and MVC design patterns
5. Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3, JS

framework

1. Knowledge of Payment Gateway
2. Familiarity with MySQL/ PgSQL/ Mongo databases
3. Proficient understanding of code versioning tools, such as Git
4. Understanding accessibility and security compliance
5. Understanding fundamental design principles behind a scalable application.
6. User authentication and authorization between multiple systems, servers, and

environments

Skills:

1. Building and maintenance of applications.
2. Extensive understanding of project management processes, principles and

methodologies.

1. Writing maintainable and high performance code.
2. Keeping up with the trends in technology and being up for challenges.

Qualification:

1. B. Tech in Computer Science or Bachelor’s degree in Engineering
2. Master’s degree in Computer Applications /M Tec. would be preferred.

Responsibilities:

• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
• Verifying data quality, and/or ensuring it via data cleaning.
• Able to adapt and work fast in producing the output which upgrades the decision making of stakeholders using ML.
• To design and develop Machine Learning systems and schemes. 
• To perform statistical analysis and fine-tune models using test results.
• To train and retrain ML systems and models as and when necessary. 
• To deploy ML models in production and maintain the cost of cloud infrastructure.
• To develop Machine Learning apps according to client and data scientist requirements.
• To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by how successful they are in meeting the objective.

Technical Knowledge:

• Worked with real time problems, solved them using ML and deep learning models deployed in real time and should have some awesome projects under his belt to showcase. 
• Proficiency in Python and experience with working with Jupyter Framework, Google collab and cloud hosted notebooks such as AWS sagemaker, DataBricks etc.
• Proficiency in working with libraries Sklearn, Tensorflow, Open CV2, Pyspark,  Pandas, Numpy and related libraries.
• Expert in visualising and manipulating complex datasets.
• Proficiency in working with visualisation libraries such as seaborn, plotly, matplotlib etc.
• Proficiency in Linear Algebra, statistics and probability required for Machine Learning.
• Proficiency in ML Based algorithms for example, Gradient boosting, stacked Machine learning, classification algorithms and deep learning algorithms. Need to have experience in hypertuning various models and comparing the results of algorithm performance.
• Big data Technologies such as Hadoop stack and Spark. 
• Basic use of clouds (VM’s example EC2).
• Brownie points for Kubernetes and Task Queues.      
• Strong written and verbal communications.
• Experience working in an Agile environment.