[Remote] AI / ML Engineer II at Astra

India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Information Technology, AIOpsIndustries

Requirements

4+ years of experience in IT services, with at least 3 years in IT Service Automation (Orchestration, Scripting, & Process Assessment) and AI Engineering (developing and deploying AI Agents, GenAI & ML solutions)
Expertise in integrating various tools and building analytics/insights
Proficiency in at least two scripting languages such as PowerShell, Python, or Shell Script
Strong foundational knowledge across core IT domains, emphasizing Network & Network Services (network topologies, protocols, operational issues)
Demonstrable experience implementing solutions using state-of-the-art LLMs (open-source like Llama series, proprietary like GPT-4)
Proficiency with a major deep learning framework, preferably PyTorch, for model experimentation and fine-tuning
Proficiency in a high-level programming language (Java, Python) and experience with containerization technologies (Docker, Kubernetes)
Solid understanding and practical experience with cloud platforms such as Azure or GCP, including networking services (VNets, VPCs)
Experience with AI/ML libraries and frameworks
Strong understanding of ITIL processes in one or more service lifecycle or capability modules
Knowledge in one or more system administrative activities (monitoring, service requests, incident management, change management, maintenance)
Excellent communication skills to explain concepts and solutions clearly
Experience in training/grooming people
Excellent analytical and problem-solving skills

Responsibilities

Contribute toward AI roadmap for AI-driven automation aligning with company and client goals
Collaborate with engineering and data teams to design and architect scalable, robust, innovative AI solutions (e.g., automated network diagnostics, bot recommendation systems, AI agents for NOC operations)
Act as Solution Owner in Agile/Scrum: manage product backlog, write user stories, define acceptance criteria, prioritize features
Lead evaluation, fine-tuning, and integration of open-source LLMs (e.g., Llama series) and other LLMs
Develop and own key components of automation framework, including PowerShell and Python runbook executors
Develop and train ML models for anomaly detection, predictive maintenance, capacity planning in IT environments
Work with large IT operational datasets: data cleaning, feature engineering, analysis to improve model accuracy/performance
Contribute to development of internal automation tools and frameworks
Deliver continuous service improvements by identifying process enhancements
Proficiently develop AI/Gen AI point solutions to meet business needs
Troubleshoot and resolve issues in automation systems and AI models
Engage with customers, IT operators, Network Engineers, stakeholders to gather requirements, validate solutions, ensure product-market fit
Serve as SME on AIOps, ITPA, RBA, providing technical guidance and insights
Document automation processes, code, and models clearly
Actively contribute to team results and goals
Undertake skill/knowledge development, including training next-level team members

Skills

Python

PowerShell

LLMs

Llama

Machine Learning

Anomaly Detection

Predictive Maintenance

Capacity Planning

Data Cleaning

Feature Engineering

Agile

Scrum

AIOps

ITPA

RBA

Astra

Provides launch services for small satellites

About Astra

Astra provides launch services specifically for small satellites, catering to commercial businesses, government agencies, and research institutions that need reliable access to space. The company operates small, agile rockets designed to transport these satellites into low Earth orbit (LEO). Astra's approach focuses on making space more accessible by reducing the costs and complexities associated with satellite launches, which allows a wider range of customers to utilize their services. Unlike many competitors, Astra emphasizes efficiency and cost-effectiveness in its operations, aiming to meet the growing demand for satellite-based services such as Earth observation and telecommunications. The company's goal is to facilitate more frequent and affordable satellite launches, thereby expanding opportunities for various applications in the space industry.

Alameda, CaliforniaHeadquarters

2016Year Founded

$291.8MTotal Funding

IPOCompany Stage

AerospaceIndustries

201-500Employees

Benefits

Competitive Medical (HMO & PPO)/Dental/Vision plans

Company paid Short Term Disability and Long Term Disability plans

401K with company match

Flexible Spending Account

Commuter benefits

Caregiving support benefits

Company perks, like PetPlan, curated gym/travel/products discounts

Free lunch

Company events

Risks

Going private may limit Astra's access to public capital markets.

Astra faces financial instability due to liquidity crunch and high cost of capital.

Intensifying competition in the small satellite launch market could impact Astra's market share.

Differentiation

Astra offers cost-effective launch services for small satellite payloads.

The company focuses on agile rockets for frequent access to space.

Astra provides online reservations for payload deliveries to various orbits.

Upsides

Growing demand for small satellite constellations aligns with Astra's business model.

U.S. government investment in space technology presents contract opportunities for Astra.

Astra's reusable rocket technology could lead to significant cost reductions.

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