Machine Learning Engineer

Altak Group Inc. is seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimize machine learning and AI-powered solutions that drive business impact. The ideal candidate will have extensive experience developing production-grade machine learning systems and collaborating with cross-functional teams to deliver scalable AI products.

Responsibilities:

• Design, develop, train, test, and deploy machine learning models in production environments
• Build scalable AI and machine learning pipelines for data processing, model training, evaluation, and deployment
• Develop and optimize predictive models, recommendation systems, NLP solutions, computer vision applications, and AI-driven products
• Collaborate with Product Managers, Data Scientists, Software Engineers, and business stakeholders to translate business requirements into AI solutions
• Implement and maintain MLOps best practices, including model monitoring, versioning, retraining, and performance optimization
• Evaluate and integrate emerging AI technologies, tools, and frameworks into existing systems
• Build and deploy Generative AI applications leveraging Large Language Models (LLMs) and AI Agents
• Conduct model experimentation, A/B testing, and performance analysis
• Optimize model inference, scalability, and cost efficiency across cloud environments
• Ensure data quality, security, and compliance standards are maintained throughout the ML lifecycle
• Stay current with advancements in Machine Learning, Deep Learning, Generative AI, and AI infrastructure

Requirements:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Mathematics, or a related field
• 5+ years of hands-on experience developing and deploying Machine Learning solutions
• Strong proficiency in Python and machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, and Pandas
• Experience building end-to-end ML pipelines and deploying models into production
• Strong understanding of supervised and unsupervised learning, deep learning, feature engineering, and model evaluation techniques
• Experience working with SQL and large-scale datasets
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
• Strong software engineering fundamentals, including Git, CI/CD, testing, and API development
• Excellent problem-solving and communication skills
• Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and prompt engineering
• Hands-on experience with AI frameworks and tools such as OpenAI, Anthropic Claude, Gemini, LangChain, LlamaIndex, CrewAI, AutoGen, or similar technologies
• Experience building NLP, conversational AI, chatbots, recommendation engines, or computer vision applications
• Familiarity with vector databases such as Pinecone, Weaviate, Chroma, or FAISS
• Experience with distributed computing frameworks such as Spark or Ray
• Experience working in startup or high-growth environments