AI & Machine Learning Professional

Summary

eStreet Security provides on-demand cybersecurity services, training, job placement, and talent marketplace solutions. The AI & Machine Learning Professional role spans machine learning engineering, generative AI, research, computer vision, NLP, and data science leadership, with responsibilities tailored to the candidate’s experience and interests.

Responsibilities

• Design, build, and deploy machine learning models at scale
• Develop and fine-tune large language models (LLMs) and generative AI systems
• Build and maintain MLOps pipelines, tooling, and infrastructure
• Conduct applied research in computer vision, NLP, or related areas
• Translate business problems into data science solutions
• Lead and mentor team members (for senior/managerial candidates)
• Collaborate cross-functionally with product, engineering, and business teams

Skills

• * Machine Learning Engineering / MLOps
• * Generative AI / LLM development
• * AI Research
• * Computer Vision and/or NLP
• * Data Science or Data Science Management
• * Entry-level / New grads — strong fundamentals, projects, coursework, or internships
• * Mid-level — 2–5 years building ML/AI systems in production
• * Senior / Lead — deep technical expertise and track record of impact
• * Manager / Director — experience leading data science or ML teams
• * Familiarity with at least one of: Python, ML frameworks (PyTorch, TensorFlow), data tooling
• * Curiosity, willingness to learn, and a collaborative mindset
• * Strong communication skills
• * Published research or open-source contributions
• * Experience with cloud platforms (AWS, GCP, Azure)
• * Familiarity with LLMs, transformers, or diffusion models
• * Prior experience in a fast-paced startup or scale-up environment
• * Background in computer science, statistics, mathematics, engineering, or a related field (degree optional — skills matter more)

Qualifications

Must Haves

• * Machine Learning Engineering / MLOps
• * Generative AI / LLM development
• * AI Research
• * Computer Vision and/or NLP
• * Data Science or Data Science Management
• * Entry-level / New grads — strong fundamentals, projects, coursework, or internships
• * Mid-level — 2–5 years building ML/AI systems in production
• * Senior / Lead — deep technical expertise and track record of impact
• * Manager / Director — experience leading data science or ML teams
• * Familiarity with at least one of: Python, ML frameworks (PyTorch, TensorFlow), data tooling
• * Curiosity, willingness to learn, and a collaborative mindset
• * Strong communication skills

Nice to Haves

• * Published research or open-source contributions
• * Experience with cloud platforms (AWS, GCP, Azure)
• * Familiarity with LLMs, transformers, or diffusion models
• * Prior experience in a fast-paced startup or scale-up environment
• * Background in computer science, statistics, mathematics, engineering, or a related field (degree optional — skills matter more)

Benefits

• Remote-friendly / flexible work arrangements
• Learning budget and conference support
• Opportunity to work across multiple AI domains
• Clear growth paths — from IC to leadership