RSA Aveksa

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

Job Location - Hyderabad & Ahmedabad 

What you'll do: 

• Perform complex application programming activities with an emphasis on mobile development:  Node.js, TypeScript, JavaScript, RESTful APIs and related backend frameworks 

• Assist in the definition of system architecture and detailed solution design that are scalable and extensible 
• Collaborate with Product Owners, Designers, and other engineers on different permutations to find the best solution possible 
• Own the quality of code and do your own testing. Write unit test and improve test coverage. 
• Deliver amazing solutions to production that knock everyone’s socks off 
• Mentor junior developers on the team 

What we’re looking for: 

• Amazing technical instincts. You know how to evaluate and choose the right technology and approach for the job. You have stories you could share about what problem you thought you were solving at first, but through testing and iteration, came to solve a much bigger and better problem that resulted in positive outcomes all-around. 
• A love for learning. Technology is continually evolving around us, and you want to keep up to date to ensure we are using the right tech at the right time. 
• A love for working in ambiguity—and making sense of it. You can take in a lot of disparate information and find common themes, recommend clear paths forward and iterate along the way. You don’t form an opinion and sell it as if it’s gospel; this is all about being flexible, agile, dependable, and responsive in the face of many moving parts. 
• Flexible and willing to accept change in priorities, as necessary 

• Demonstrable passion for technology (e.g., personal projects, open-source involvement)  
• Enthusiastic embrace of DevOps culture and collaborative software engineering 
• Ability and desire to work in a dynamic, fast paced, and agile team environment 
• Enthusiasm for cloud computing platforms such as AWS or Azure 
• Excellent written and verbal communications skills 

Preferred Qualifications:  

• Experience with Apache Cordova framework 
• Demonstrable knowledge of native coding background in iOS, Android 
• Experience developing and deploying applications within Kubernetes based containers  
• Experience in Agile and SCRUM development techniques 

Coordinate office activities and operations to secure efficiency and compliance to company policies

Supervise administrative staff and divide responsibilities to ensure performance

Manage agendas / travel arrangements / appointments etc. for the upper management

Manage phone calls and correspondence (e-mail, letters, packages etc.)

Support budgeting and bookkeeping procedures

Create and update records and databases with personnel, financial and other data

Track stocks of office supplies and place orders when necessary

Submit timely reports and prepare presentations / proposals as assigned

Assist colleagues whenever necessary

Requirements and skills

Proven experience as an office administrator, office assistant or relevant role

Outstanding communication and interpersonal abilities

Excellent organizational and leadership skills

Familiarity with office management procedures and basic accounting principles

Excellent knowledge of MS Office and office

Job Description:

Responsibilities –

Ensure effective Design, Development, Validation and support activities in line with client needs and architectural requirements.,- Ensure continual knowledge management.,- Adherence to the organizational guidelines and processes

Technical and Professional Requirements :

Minimum 3 years of experience required

Experience in developing React Native app for iOS and Android platform,

Knowledge of React Native available inbuilt UI components and the props those UI component accept,

Should have worked with major node modules such as react-native-maps, @react-native/community geolocation, offline database, etc,

Handle build for simulator and ipa/apk for UAT/Prod release with signing. (Release Management),

Should have worked and deployed iOS App

Should have worked on sqlite

Should have knowledge of database SQL ( Select and update queries)

• Be part of the CS Strategy & Operations team that strives to make a difference.
• Assimilate data and analytics to create daily, weekly, monthly and quarterly reports.
• Analyze reports to detect problems during data collection and help review data that has been collected.
• Monitor data to identify trends and anomalies that might showcase abnormal behavior.
• Interpret data, develop dashboards and reports.
• Generate and share routine/ ad-hoc reports as required.
• Work with team members to drive CS processes.
• Monitor, update, and drive implementation of MIS reports.

Our ideal candidate:

• Experience of 2-3 years in a high-transaction MIS environment.
• Knowledge of Google Sheets / Excel (vLookup, pivot table, charts, and adept in trend Metrics)
• Strong knowledge of Power BI, SQL, Data Studio
• Good written and verbal communication.
• Willingness to learn new things and is able to quickly deploy them.
• Is an empathetic team player.