Machine Learning Engineer

AI Engineer

Experience:
5-8 Years Exp

Salary :
Competitive

Preferred Notice Period
: less than or equal to 30 days

Shift
: 10:00 AM to 6:00 PM IST

Opportunity Type:
Office (Delhi)

Placement Type:
Permanent

(*Note: This is a requirement for one of Uplers' Clients)

Must have skills required :

Ai/ml engineer AND Model Development AND Ml models

Edstem Technologies (One of Uplers' Clients) is Looking for:

AI Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description

We are seeking an AI/ML Engineer with over 5 years of expertise in conventional machine learning and experience or interest in generative AI to develop Sports Companion GPT - Aiko for sports applications, specifically targeting Cricket and Football. The ideal candidate will have extensive experience building and optimizing ML models and working with large datasets, with experience in fine-tuning generative AI models and familiarity with Azure cloud platforms as a plus. Previous experience with sports-related datasets is advantageous but not mandatory. Based in Delhi, you will collaborate with data scientists, software engineers, and sports domain experts across our global teams to create an AI model that delivers actionable insights and innovative solutions, while also contributing to the development of a generative AI evaluation framework.

Key Responsibilities:

• Model Development: Design and develop AI models for Sports Companion GPT - Aiko, combining conventional ML techniques (e.g., regression, classification, clustering) with generative AI models for Cricket and Football applications, such as player performance prediction, game strategy optimization, injury risk assessment, or fan engagement analytics.

• Generative AI Fine-Tuning: Fine-tune pre-trained generative AI models (e.g., transformers, GANs) using Cricket and Football-specific datasets to generate insights, predictions, or content tailored to these sports, if applicable.

• Gen AI Evaluation Framework: Develop and implement a robust evaluation framework for generative AI models, including metrics for accuracy, relevance, coherence, and domain-specific performance in sports applications.

• Data Processing: Process and analyze large, complex datasets (e.g., player statistics, video analysis, sensor data, or text data) to prepare data for training both ML and generative AI models.

• Algorithm Development: Implement and optimize ML algorithms and generative AI architectures, ensuring seamless integration for Cricket and Football use cases.

• Model Training & Evaluation: Train, fine-tune, and evaluate models to achieve high accuracy, scalability, and robustness, using metrics relevant to sports applications.

• Collaboration: Work with sports analysts, data engineers, and domain experts across India, the UK, Singapore, and the Middle East to incorporate domain knowledge into Aiko and align with business objectives.

• Deployment & Optimization: Deploy models into production environments, preferably leveraging Azure cloud platforms, ensuring efficient inference for real-time or near-real-time sports applications.

• Research: Stay updated on advancements in ML and generative AI, applying relevant techniques to improve model performance and evaluation frameworks.

• Documentation: Document model architectures, fine-tuning processes, evaluation frameworks, and performance metrics for reproducibility and knowledge sharing.

• Ethical AI: Ensure models are developed with fairness, transparency, and ethical considerations, mitigating biases in predictions or generated outputs.

Qualifications:

Experience:

• 5+ years in AI/ML engineering, with significant experience in conventional ML.

• Proven expertise in building ML models (e.g., Scikit-learn, XGBoost).

• Experience with fine-tuning generative AI models (e.g., Hugging Face, TensorFlow, PyTorch) is a plus but not mandatory.

• Previous experience with sports-related datasets, particularly Cricket or Football, is a plus but not mandatory.

Technical Skills:

• Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

• Strong knowledge of conventional ML algorithms (e.g., regression, decision trees, SVMs) and familiarity with generative AI architectures (e.g., transformers, GANs).

• Experience with data preprocessing, feature engineering, and handling large datasets.

• Familiarity with cloud platforms for model training and deployment, with Azure experience as a strong plus.

• Knowledge of MLOps practices, including model versioning, monitoring, and CI/CD pipelines.

• Experience with computer vision, natural language processing, or text generation is a plus.

• Domain Knowledge: Familiarity with Cricket or Football analytics, biomechanics, or performance metrics is an advantage but not required.

Soft Skills:

• Strong problem-solving and analytical skills.

• Effective communication and collaboration skills for cross-functional and global teamwork.

• Ability to explain technical concepts to non-technical stakeholders

.

Preferred Qualifications:

• Experience fine-tuning large language models or generative AI for domain-specific applications.

• Experience developing evaluation frameworks for generative AI models.

• Familiarity with Azure cloud services (e.g., Azure Machine Learning, Azure Kubernetes Service, or Azure Data Lake) for model development and deployment.

• Experience with real-time or streaming data for sports applications.

• Knowledge of reinforcement learning or multimodal AI models.

• Familiarity with sports technologies, such as player tracking systems or wearables.

• Contributions to open-source AI/ML projects or published research in relevant fields.

How to apply for this opportunity:

Easy 3-Step Process:

1. Click On Apply And Register or log in on our portal

2. Upload updated Resume & Complete the Screening Form

3. Increase your chances to get shortlisted & meet the client for the Interview

About Our Client:

Edstem Technologies is a dynamic and fast-growing software company, with service offerings in custom software development, mobile app development, managed services, offshore augmentation, and software consulting. We translate the ideas and requirements of our clients into smart solutions in cutting-edge technologies, by employing agile tools and practices while involving them in every step of development. Our delighted clientele spanning the globe in multiple domains is a testimony both to the quality of our deliverables and to the technical prowess of our highly skilled team. We have a talent pool that is well-equipped to work on the latest technology and highly demanding projects, positioning us also as a key player in supplying technology manpower for clients across the globe.

About Uplers:

Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.

(Note: There are many more opportunities apart from this on the portal.)

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you