Job Description

Senior Software Engineer - AI/ML to join our Engineering team. The ideal candidate

will be an exceptional programmer with over 6 years of experience in open-source programming

languages, data science and ML

We need a professional with:

• Deep passionate about technology and keeping the systems and your knowledge updated
• Eagerness to work in a fast-paced dynamic environment for a quickly growing company
• One who is looking for high visibility and unlimited growth potential
• Willing to learn and work on additional technologies and platforms
• Strong agile skills and a penchant for technology

Specifically, this role will involve:

• Model Deployment: Implement and deploy LLMs in a production environment, ensuring they

meet performance and scalability requirements.

• Embedding Utilization: Utilize and optimize embeddings for various applications, improving the

model's understanding and contextual performance.

• Data Science Expertise: Apply core data science principles to analyze data, create models, and

solve complex problems.

• Collaborate on Project Requirements: Work with the Engineering Manager, Product Manager,

and clients to confirm project requirements, including product objectives, input data, and output

requirements.

• Solution Development: Design and develop scalable solutions architecture, algorithms, and

systems to meet enterprise/global requirements.

• Programming Excellence: Write clean, modular, reusable, and maintainable code. Adhere to

coding standards, use advanced algorithms, design patterns, and development frameworks.

• Quality Assurance: Conduct unit testing and monitor quality throughout implementation.
• Technical Engagement: Engage with sophisticated global customers in technical discussions to

demonstrate a deep understanding of their problems.

• Continuous Learning: Maintain professional and technical knowledge by attending workshops,

reading articles, and participating in user groups.

Essential experience and skills:

• 6+ years of experience as a developer/Sr developer
• Problem-Solving: The ability to approach complex problems systematically and come up with

effective solutions.

• Communication: Clear communication skills for explaining complex technical concepts to non-

technical stakeholders and collaborating with global team members.

• Teamwork: Ability to work in interdisciplinary teams comprising machine learning engineers,

data scientists, software developers, and possibly domain experts.Page 2 of 2

• Critical Thinking: Capacity to critique existing methods and theories and propose improvements

or alternatives.

• Ethical Awareness: Given that GPT and similar technologies can have far-reaching societal

impacts, an understanding of the ethical implications is important.

• Adaptability: Machine learning and NLP are rapidly evolving fields, so a willingness to learn and

adapt to new methods and technologies is crucial.

• Attention to Detail: With machine learning models, small changes can sometimes have big

impacts, so careful attention to detail is critical.

Technical skills:

• Machine Learning Algorithms: Understanding of machine learning algorithms, especially deep

learning models like Transformers, is crucial. This can include various types of neural networks,

optimization techniques, and loss functions.

• Natural Language Processing (NLP): Knowledge of NLP techniques, text representation

methods, and language models.

• Programming Languages: Proficiency in languages commonly used in machine learning such as

Python /Node.

• Library/Framework Proficiency: Familiarity with machine learning libraries like TensorFlow,

PyTorch & LangChain.

• High-Performance Computing: Understanding of parallel computing, GPU acceleration, and

distributed systems for training large models.

• Data Manipulation and Analysis: Skills in data preprocessing, transformation, and analysis are

crucial, often involving libraries like Pandas, NumPy, or specialized tools for handling large

datasets.

• DevOps and Infrastructure: Knowing how to set up and maintain machine learning pipelines,

from data collection to model training to inference, possibly using cloud platforms like AWS,

GCP, or Azure.

• Optimization: Understanding of both algorithmic and hardware optimization techniques to

make training and inference more efficient.

• Version Control: Proficiency with version control systems like Git to manage codebase changes.

Qualifications:

• B.E. / B.Tech. / M.E. / M.Tech. / M.S degree/Any in Computer Science and Electronics or related

field

Job Types: Full-time, Contractual / Temporary, Freelance
Contract length: 6 months

Pay: ?80,000.00 - ?110,000.00 per month

Schedule:

• Day shift

Experience:

• total work: 5 years (Preferred)

Work Location: Remote