Applied AI Research Engineer

Reposted 4 Days Ago
Be an Early Applicant
Mumbai, Maharashtra, IND
In-Office
Junior
Artificial Intelligence • Software
The Role
As an Applied Scientist, you'll develop advanced computer vision solutions using video data and Vision-Language Models, focusing on multimodal learning and real-world problem solving.
Summary Generated by Built In

Company Overview:

Accrete AI is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology.

At the core of our offerings are AI agents—autonomous systems that analyze multimodal data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and empower government entities to enhance security, intelligence, and operational efficiency.

Job Description:

As an Applied Research Engineer, you will design, build, and operationalize advanced AI systems, working alongside AI scientists to turn research ideas into high-impact models and agentic workflows, and alongside engineering teams to integrate those capabilities into production platforms. You will work across NLP, computer vision, multimodal models, and agent-based systems, owning the path from experimental prototypes to scalable, reliable components. This role values strong hands-on engineering, fluency with modern AI models and tooling, and the judgment to balance innovation with performance, robustness, and real-world constraints.

Key Responsibilities:

  • Design, implement, and operationalize advanced AI models and agentic workflows, translating research ideas into robust, production-ready systems.
  • Work closely with AI scientists to prototype, experiment, and evaluate models across NLP, computer vision, multimodal learning, and agent-based systems.
  • Partner with machine learning engineers and application teams to integrate research artifacts into products, services, and platforms.
  • Build and optimize model pipelines, inference workflows, and tooling with attention to performance, scalability, and reliability.
  • Contribute to model evaluation, benchmarking, and validation, ensuring research outputs meet real-world constraints and quality standards.
  • Support the deployment, monitoring, and iteration of AI models, helping systems evolve as data, requirements, and environments change.
  • Stay current with advances in AI and machine learning, applying new techniques where they meaningfully improve system capabilities.
  • Contribute to a culture of high-quality engineering, including code reviews, documentation, testing, and knowledge sharing.

Required Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or a closely related field with 2+ years of hands-on experience building AI/ML systems; or a Master’s degree in a relevant field.
  • Strong software engineering skills in Python, with experience implementing and maintaining AI or ML-driven systems.
  • Practical experience working with modern AI models, including large language models, deep learning models for natural language processing or computer vision systems.
  • Experience developing agentic or tool-using AI workflows, including orchestration, reasoning loops, or pipeline-based execution.
  • Familiarity in model training, fine-tuning, and evaluation, and the ability to collaborate effectively with research scientists.
  • Experience deploying AI or ML components into production or near-production environments, with awareness of performance, reliability, and scaling considerations.
  • Comfort working across the stack with machine learning engineers and application teams to operationalize research outputs.
  • Strong problem-solving skills and the ability to quickly learn new models, tools, and systems.
  • Clear communication skills and the ability to work effectively in cross-functional teams.

Career Progression:

At Accrete we value professional growth and development of our employees. As a Applied Research Engineer, you will have access to a variety of career advancement opportunities and growth within the organization. We provide ongoing training, mentorship, and opportunities to take on leadership roles within your team and work with leaders across departments.

Why Join Us:

  • Innovative Environment: Be part of a team that's at the forefront of technological innovation, utilizing GenAI and ML to create groundbreaking solutions.
  • Collaborative Culture: Work in a collaborative environment where your ideas are valued, and you have the opportunity to make a real impact.
  • Professional Growth: We're committed to your professional growth and development, offering opportunities for learning and advancement.
  • Competitive Compensation: Enjoy a competitive compensation and benefits package, including medical insurance.

Join us at Accrete (https://www.accrete.ai/) and be part of our team. Apply now and embark on an exciting journey of innovation and growth!

Skills Required

  • Masters in Computer Science, Computer Vision, Machine Learning, or related discipline
  • 2+ years of experience leading applied research or product-focused CV/ML projects
  • Expertise in modern computer vision architectures (e.g., ViT, SAM, CLIP)
  • Experience with Vision-Language Models (VLMs) and multimodal AI systems
  • Strong background in real-time video analysis
  • Experience with transformer-based architectures and LLM-vision integrations
  • Proficiency in Python and deep learning libraries like PyTorch or TensorFlow
  • Experience with cloud platforms (AWS, Azure) and deployment frameworks
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The Company
HQ: New York, NY
79 Employees
Year Founded: 2017

What We Do

Accrete is a Prime Defense Contractor delivering configurable dual-use AI solutions that automate complex analytical work to both government and commercial customers with a focus on defense, intelligence, and cybersecurity.

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