Jobs at Conclase Consulting

Role Overview

• We are seeking a skilled and innovative Machine Learning Engineer with expertise in Large Language Models (LLMs) to join our team.
• The ideal candidate has hands-on experience developing, fine-tuning, and deploying LLMs, alongside a deep understanding of the machine learning lifecycle.
• This role involves building scalable AI solutions, collaborating with cross-functional teams, and contributing to cutting- edge AI initiatives.

Key Responsibilities

• Model Development & Optimization:
• Develop, fine-tune, and deploy LLMs like OpenAI's GPT, Anthropic's Claude, Google’s Gemini, or AWS Bedrock.
• Customize pre-trained models for specific use cases, ensuring high performance and scalability.
• Machine Learning Pipeline Design:
• Build and maintain end-to-end ML pipelines, from data preprocessing to model deployment.
• Optimize training workflows for efficiency and accuracy.

Integration & Deployment:

• Work closely with software engineering teams to integrate ML solutions into production environments.
• Ensure APIs and solutions are scalable and robust.
• Experimentation & Research:
• Experiment with new architectures, frameworks, and approaches to improve model performance.
• Stay updated with advancements in LLMs and generative AI technologies.

Collaboration:

• Collaborate with cross-functional teams, including data scientists, engineers, and
• product managers, to align ML solutions with business goals.
• Provide mentorship to junior team members as needed.

Required Qualifications

• At least 5 years of professional experience in machine learning or AI development.
• Proven experience with LLMs and generative AI technologies.

Technical Skills:

• Proficiency in Python (required) and basic knowledge of Java is needed
• Hands-on experience with APIs and tools like OpenAI, Anthropic's Claude, Google Gemini, or AWS Bedrock.
• Familiarity with ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
• Strong understanding of data structures, algorithms, and distributed systems.

Cloud Expertise:

• Experience with AWS, GCP, or Azure, including services relevant to ML workloads (e.g., AWS SageMaker, Bedrock).

Data Engineering:

• Proficiency in handling large-scale datasets and implementing data pipelines.
• Experience with ETL tools and platforms for efficient data preprocessing.

Problem Solving:

• Strong analytical and problem-solving skills, with the ability to debug and resolve issues quickly.

Preferred Qualifications

• Experience with multi-modal models and generative AI for images, text, or other modalities.
• Understanding of ML Ops principles and tools (e.g., MLflow, Kubeflow).
• Familiarity with reinforcement learning and its applications in AI.
• Knowledge of distributed training techniques and tools like Horovod or Ray.
• Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning

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Role Description

• The Java Developer will be responsible for software development, including designing, implementing, and maintaining Java-based applications. Daily tasks include developing and managing microservices, ensuring seamless programming activities, and working with the Spring Framework. The candidate will be expected to collaborate with cross-functional teams and contribute to all phases of the development lifecycle.

Responsibilities

• Designing and implementing software using Java
• Ensuring the code quality by implementing unit, integration and end-to-end tests
• Optimising application for maximum performance
• Working with DevOps related activities (CI/CD, infrastructure, etc.)
• Working in a distributed team and cooperate with other teams on cross-team deliveries
• Troubleshooting, analysing, and solving integration and production issues

Skills

• 6+ years of professional Java software development experience
• Strong knowledge of Java. Strong system design skills and programming skills
• Experience with Spring Framework, Spring Boot, REST, CI and Kanban
• Familiarity with common algorithms, data structures and multithreading
• Familiarity with Git/Gradle, Docker, Kubernetes, Continuous Delivery and DevOps
• Experience with RDBMS (MySQL, etc.) and NoSQL (Apache Cassandra, etc.) databases
• Comfortable with making technical and architectural decisions autonomously
• Communicative, able to explain concepts well to both tech and non tech
• Java 11 or above version experience is a must