Business Development Manager

About Autonomize AI

Autonomize AI is on a mission to help organizations make sense of the world's data. We help organizations harness the full potential of data to unlock business outcomes. Unstructured dark data contains nuggets of information that when paired with human context will unlock some of the most impactful insights for most organizations, and it’s our goal to make that process effortless and accessible.

We are an ambitious team committed to human-machine collaboration. Our founders are serial entrepreneurs passionate about data and AI and have started and scaled several companies to successful exits. We are a global, remote company with expertise in building amazing data products, captivating human experiences, disrupting industries, being ridiculously funny, and of course scaling AI

The Opportunity

As a Senior Machine Learning Engineer at Autonomize, you will lead the development and deployment of machine learning solutions with an emphasis on large language models (LLMs), vision models, and classic NLP (Natural Language Processing) models. The ideal candidate will have a proven track record in these areas, particularly within healthcare contexts, and will play a significant role in advancing our AI-driven healthcare optimized AI Copilots and Agents..

What You’ll Do

1. Help fine-tune or prompt engineer large language models (LLMs) for various healthcare applications across various customer engagements.
2. Develop and refine our approach to handling vision based data using state-of-the-art VLM based models capable of processing and analyzing medical documents, healthcare forms in various formats and other visual data accurately.
3. Create and enhance classic NLP models to understand and generate human language in healthcare settings, supporting clinical documentation, and patient interaction.
4. Collaborate with multi-disciplinary teams including data scientists,ml engineers, healthcare clients, and product managers to deliver robust solutions.
5. Ensure models are efficiently deployed and integrated into healthcare systems, maintaining high performance and scalability.
6. Mentor and provide guidance to junior engineers and data scientists, fostering a culture of continuous learning and innovation.
7. Conduct rigorous testing, validation, and tuning of models to ensure accuracy, reliability, and compliance with healthcare standards.
8. Deep understanding of various training techniques including distributed training on GPUs and TPUs.
9. Stay informed on the latest research, tools, and technologies in machine learning, particularly those applicable to language and vision processing in healthcare.
10. Document methodologies, model architectures, and project outcomes effectively for both technical and non-technical audiences.

You’re a Fit If You Have

1. Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
2. 5-7 years of experience in machine learning engineering, with a significant track record in the developing production grade models and model pipelines in a regulated industry such as healthcare.
3. Hands-on expertise in working with large language models (e.g., GPT, BERT), computer vision models, and classic NLP technologies.
4. Proficient in programming languages such as Python, with extensive experience in ML libraries/frameworks like TensorFlow, PyTorch, OpenCV, etc.
5. Strong understanding of deep learning techniques, model fine-tuning, hyper parameter optimization, and model optimization 
6. Proven experience in deploying and managing ML models in production environments.
7. Excellent analytical skills, with a problem-solving mindset and the ability to think strategically.
8. Strong communication skills for articulating complex concepts to diverse audiences.
9. Working knowledge or experience in MLOps and LLMOps using tools like mlflow, kubeflow
10. Working knowledge of basic software engineering principles and best practices
11. Demonstrated working knowledge and experience on classic ML techniques and frameworks.
12. Nice to have : Knowledge of Cloud vendor based ML Platforms such as Azure ML, Sagemaker

Bonus Points:

1. Owner mentality - For you, the buck stops at you, You own it, you will learn it, and you will get it done
2. You are naturally curious. Always experimenting than hypothesising - You like to push boundaries, you figure things out and experiment your way through any problem
3. You are passionate, unafraid & loyal to the team & mission
4. You love to learn & win together
5. You communicate well through voice, writing, chat or video, and work well with a remote/global team
6. Large/Complex organization experience in deploying NLP/ML in production 
7. Experience in efficiently scaling ML model training and inferencing 
8. Experience with Big Data technologies using Kafka, Spark, Hadoop, Snowflake

What we offer:

• Influence & Impact: Lead and shape the future of healthcare AI implementations
• Outsized Opportunity: Join at the ground floor of a rapidly scaling, VC-backed startup
• Ownership, Autonomy & Mastery: Full-stack ownership of customer programs, with freedom to innovate
• Learning & Growth: Constant exposure to founders, customers, and new technologies—plus a professional development budget

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

• Strong proficiency in Java programming language.
• Experience with Java frameworks like Spring and Spring Boot.
• Understanding of RESTful APIs and web services.
• Experience with databases and data storage technologies (e.g., SQL, NoSQL).
• Knowledge of software development best practices, including testing and code quality.
• Experience with version control systems (e.g., Git).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
• Strong problem-solving and debugging skills.
• Excellent communication and collaboration skills. 

About Us: At Jenya, we specialize in creating captivating content that connects with audiences on a global scale. Our team is dedicated to pushing creative boundaries and delivering exceptional results. We’re looking for a skilled Video Editor with a focus on YouTube videos and Shorts to join our vibrant team.

Position Overview: We are seeking a talented Video Editor with a strong background in editing YouTube videos and Shorts. In this role, you will be responsible for crafting engaging, high-quality video content that stands out on YouTube and other platforms. Your expertise will help us deliver visually compelling stories that resonate with viewers and drive channel growth.

Key Responsibilities:

• Edit and produce engaging YouTube videos and Shorts from raw footage.
• Develop video content that aligns with our brand’s voice and goals.
• Collaborate with content creators, producers, and other team members to ensure video content meets project specifications.
• Optimize videos for YouTube, including titles, descriptions, and metadata to maximize visibility and engagement.
• Apply effective video pacing, transitions, and effects to create a polished final product.
• Maintain organized video files and adhere to project deadlines.

Requirements:

• Proven experience as a Video Editor with a strong portfolio showcasing your work on YouTube videos and Shorts.
• Proficiency in video editing software (e.g., Adobe Premiere Pro, Final Cut Pro, DaVinci Resolve, Canva etc).
• In-depth understanding of YouTube’s platform, including trends, algorithm, and best practices for Shorts.
• Ability to create engaging video content tailored for different audiences and platforms.
• Strong attention to detail, creativity, and problem-solving skills.
• Excellent communication skills and ability to work collaboratively in a team environment.

Preferred Qualifications:

• Bachelor’s degree in Film Production, Media, or a related field.
• Experience with motion graphics, animations, and visual effects.
• Familiarity with SEO best practices and video analytics.

What We Offer:

• Competitive salary and comprehensive benefits package.
• A collaborative and creative work environment.
• Opportunities for professional growth and development.
• Alternate Saturday off

How to Apply: If you are a dedicated Video Editor with a passion for fostering a positive workplace culture and have at least 1+ year of relevant experience, we invite you to apply for this exciting opportunity. Make sure to include "Video Editor Application" in the subject line.

Join our team and contribute to our continued success as a Video Editor dedicated to the growth!

Education:

• Bachelor's (Preferred)

We're hiring an experienced SAP IBP Consultant with 6+ years of expertise in Demand and Supply Planning. The ideal candidate should have strong skills in key figure modeling, time series planning, and integration with S/4HANA or ECC. Prior experience with planning operators, forecast models, and Excel Add-in is required.

Responsibilities:

• Lead the design, development, and implementation of scalable data architectures leveraging Snowflake, Python, PySpark, and Databricks.
• Collaborate with business stakeholders to understand requirements and translate them into technical specifications and data models.
• Architect and optimize data pipelines for performance, reliability, and efficiency.
• Ensure data quality, integrity, and security across all data processes and systems.
• Provide technical leadership and mentorship to junior team members.
• Stay abreast of industry trends and best practices in data architecture and analytics.
• Drive innovation and continuous improvement in data management practices.

Requirements:

• Bachelor's degree in Computer Science, Information Systems, or a related field. Master's degree preferred.
• 5+ years of experience in data architecture, data engineering, or a related field.
• Strong proficiency in Snowflake, including data modeling, performance tuning, and administration.
• Expertise in Python and PySpark for data processing, manipulation, and analysis.
• Hands-on experience with Databricks for building and managing data pipelines.
• Proven leadership experience, with the ability to lead cross-functional teams and drive projects to successful completion.
• Experience in the banking or insurance domain is highly desirable.
• Excellent communication skills, with the ability to effectively collaborate with stakeholders at all levels of the organization.
• Strong problem-solving and analytical skills, with a keen attention to detail.

Benefits:

• Competitive salary and performance-based incentives.
• Comprehensive benefits package, including health insurance, retirement plans, and wellness programs.
• Flexible work arrangements, including remote options.
• Opportunities for professional development and career advancement.
• Dynamic and collaborative work environment with a focus on innovation and continuous learning.

What you need to have: