Lead AI Developer (On-site – Maldives)

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

Description:

Experience in backend development with a strong focus on Java, Microservices and Java Migration

Java Microservices Back end Developer, Angular UI experience

Java Sprint boot Microservices with expected knowledge and Basic knowledge of Database.

Hands-on experience on Spring boot, Webservices, Microservices, SOAP and REST

Drive analysis of business requirements, functional requirements, and technical specification documents to design

and develop technical solutions that meet business needs

Assess opportunities for application and process improvement and obtain broader buy-in across global stakeholders

Pro-actively share and report risks, issues, challenges, blockers and forthcoming tasks with the stakeholders and team. Strong JavaScript (ES6+), HTML5, and CSS3 fundamentals, Familiar with matrix operations or nested data structures (arrays, objects, maps), Strong debugging and optimization skills

Having knowledge of some framework for TDD

Good to have Graph QL knowledge

Responsibilities:

• Conduct in-depth analysis of the product and documentation requirements.
• Create highly technical documentation that meets the needs of its intended audience.
• Collaborate with the technical team to make the products easier to use by writing a simple instructions manual.
• Review the existing content and make changes as required.
• Research and develop technical design specifications and test scripts.

Requirements:

• Bachelor's degree in Computer Science or Engineering.
• 3-5 years of experience working as a Technical Writer or a similar role.
• Ability to create high-quality technical documents.
• Exceptional working experience in technical writing of software documentation requirements.
• Ability to understand the technical concepts and make them easier to understand for our product users.
• Familiar with the product development process.
• Outstanding writing skills.
• Ability to write in different styles for a variety of audiences.
• Exceptional verbal communication skills.
• Good time management skills.

Title: Quantitative Developer

Location : Mumbai

Candidates preferred with Master's

Who We Are

At Dolat Capital, we are a collective of traders, puzzle solvers, and tech enthusiasts passionate about decoding the intricacies of financial markets. From navigating volatile trading conditions with precision to continuously refining cutting-edge technologies and quantitative strategies, our work thrives at the intersection of finance and engineering.

We operate a robust, ultra-low latency infrastructure built for market-making and active trading across Equities, Futures, and Options—with some of the highest fill rates in the industry. If you're excited by technology, trading, and critical thinking, this is the place to evolve your skills into world class capabilities.

What You Will Do

This role offers a unique opportunity to work across both quantitative development and high frequency trading. You'll engineer trading systems, design and implement algorithmic strategies, and directly participate in live trading execution and strategy enhancement.

1. Quantitative Strategy & Trading Execution

• Design, implement, and optimize quantitative strategies for trading derivatives, index options, and ETFs
• Trade across options, equities, and futures, using proprietary HFT platforms
• Monitor and manage PnL performance, targeting Sharpe ratios of 6+
• Stay proactive in identifying market opportunities and inefficiencies in real-time HFT environments
• Analyze market behavior, particularly in APAC indices, to adjust models and positions dynamically

2. Trading Systems Development

• Build and enhance low-latency, high-throughput trading systems
• Develop tools to simulate trading strategies and access historical market data
• Design performance-optimized data structures and algorithms for fast execution
• Implement real-time risk management and performance tracking systems

3. Algorithmic and Quantitative Analysis

• Collaborate with researchers and traders to integrate strategies into live environments
• Use statistical methods and data-driven analysis to validate and refine models
• Work with large-scale HFT tick data using Python / C++

4. AI/ML Integration

• Develop and train AI/ML models for market prediction, signal detection, and strategy enhancement
• Analyze large datasets to detect patterns and alpha signals

5. System & Network Optimization

• Optimize distributed and concurrent systems for high-transaction throughput
• Enhance platform performance through network and systems programming
• Utilize deep knowledge of TCP/UDP and network protocols

6. Collaboration & Mentorship

• Collaborate cross-functionally with traders, engineers, and data scientists
• Represent Dolat in campus recruitment and industry events as a technical mentor

What We Are Looking For:

• Strong foundation in data structures, algorithms, and object-oriented programming (C++).
• Experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Hands-on experience in systems programming within a Linux environment.
• Proficient and Hands on programming using python/ C++
• Familiarity with distributed computing and high-concurrency systems.
• Knowledge of network programming, including TCP/UDP protocols.
• Strong analytical and problem-solving skills.

A passion for technology-driven solutions in the financial markets.

Company: Ethara AI

Location: Gurgaon (Work From Office)

Employment Type: Full-Time

Experience Required: 2–4 Years

Open Roles: Software Engineers (Python Fullstack)

About Us

Ethara AI is a leading AI and data services company in India, specializing in building high-quality, domain-specific datasets for Large Language Model (LLM) fine-tuning. Our work bridges the gap between academic learning and real world AI applications, and we are committed to nurturing the next generation of AI professionals.

Role Overview:-

We are looking for experienced Python Fullstack Software Engineers who can contribute to post training AI development workflows with strong proficiency in coding tasks and evaluation logic. This role involves working on high-impact AI infrastructure projects, including but not limited to:

 Code generation, validation, and transformation across Python, Java, JavaScript, and modern frameworks;

 Evaluation and improvement of model-generated code responses;

 Designing and verifying web application features, APIs, and test cases used in AI model alignment;

 Interpreting and executing task specifications to meet rigorous quality benchmarks;

 Collaborating with internal teams to meet daily throughput and quality targets within a structured environment.

Key Responsibilities:-

 Work on fullstack engineering tasks aligned with LLM post-training workflows;

 Analyze model-generated outputs for correctness, coherence, and adherence to task requirements;

 Write, review, and verify application logic and coding prompts across supported languages and frameworks;

 Maintain consistency, quality, and efficiency in code-focused deliverables;

 Engage with leads and PMs to meet productivity benchmarks (8–9 working hours daily);

 Stay updated with AI development standards and contribute to refining internal engineering processes.

Technical Skills Required:-

 Strong proficiency in Python and nice to have: Java, Node.js;

 Strong experience in frontend technologies: React.js, HTML/CSS, TypeScript;

 Familiarity with REST APIs, testing frameworks, and Git-based workflows;

 Ability to analyze, debug, and rewrite logic for correctness and clarity;

 Good understanding of model response evaluation and instruction-based coding logic

Qualifications:-

 Bachelor’s or Master’s degree in Computer Science, Engineering, or related field;

 2–4 years of experience in a software development role (Fullstack preferred);

 Prior exposure to AI/LLM environments or code-based evaluation tasks is a plus;

 Excellent written communication and logical reasoning abilities;

 Comfortable working from office in Gurgaon and committing to 8–9 hours of productive work daily

Why Join Us

 Be part of a high-growth team at the forefront of LLM post-training development;

 Work on real-world AI engineering problems with production-grade impact;

 Competitive compensation with performance-driven growth opportunities;

 Structured workflow, collaborative culture, and technically challenging projects

Experience/skills required

Key Qualifications

• Developer Role:
• Preferably Java 
• CI/CD - DevOps (Exposure)
• Messaging Middleware (Exposure to Kafka or any other messaging middleware)
• DB: Oracle (pref) - any other Database platforms (SQL/NoSQL)
• Server Side: Java, Spring boot Microservices
• Exposure to Any Major Cloud Platform (AWS/Azure/GCP)

• Make Outbound Calls to Prospects
• Explaining the services of Hedgehomes over call and in person to the clients
• Assissting the Prospects in site visits to various real estate projects briefing them about the pros and cons of individual location and project.
• Analysing the requirement of the prospect and finding a suitable project for him/her.
• Supporting business development through active lead nurturing and developing prospect relationships
• Maintaining Proper Follow up with the prospects and updating it on cloud based CRM.