Urgent! Machine learning engineer Job Opening In Erode – Now Hiring Aakaar AI
About UsWe're a small but ambitious startup revolutionizing the e-commerce landscape with cutting-edge AI solutions.
Our mission is to empower sellers with the tools and insights they need to thrive in the competitive online marketplace.We’re building a suite of AI-powered products and intelligent AI agents designed to streamline advertising, automate research, optimize listings, boost sales, and drive growth for businesses of all sizes.The Role: Senior Machine Learning Engineer (AI/ML & LLMs – E-Commerce Ads)We’re looking for a Senior Machine Learning Engineer to join our team and play a key role in developing the intelligence behind our AI-driven e-commerce platform.In this role, you’ll be responsible for designing, building, training, optimizing, and deploying machine learning and LLM-based models that power ad targeting, recommendation systems, personalization engines, performance prediction, and autonomous AI agents.You’ll own end-to-end ML pipelines — from data ingestion and feature engineering to model development, evaluation, and deployment — while also working hands-on with large language models to build intelligent workflows, tools, and automation.ResponsibilitiesML & AI Model Development:Build, train, evaluate, and optimize ML models for ad performance prediction, personalization, targeting, and campaign optimization.Experiment with classical ML and modern deep learning architectures to maximize performance.LLM Development & Integration:Fine-tune, prompt-engineer, or build applications using large language models (e.g., Open AI GPT-4, Claude, LLa MA).Build intelligent agent workflows using LLMs for research automation, ad copy generation, optimization strategies, and seller assistance.Integrate LLMs with internal data pipelines and APIs to deliver context-aware insights.Data Pipelines & Feature Engineering:Design and implement scalable data pipelines for training and inference.Process structured and unstructured e-commerce ad data for ML and LLM applications.Model Deployment & Infrastructure:Deploy ML and LLM models to production using containerization, inference APIs, or orchestration frameworks.Collaborate with backend teams to ensure seamless interaction between AI systems and product interfaces.Experimentation & Evaluation:Design and run experiments (e.g., A/B testing) to evaluate and iterate on models.Monitor model performance post-deployment and implement retraining or optimization strategies.Architecture & Scalability:Contribute to the design of AI infrastructure supporting rapid experimentation and reliable deployment at scale.Research & Innovation:Stay current on the latest advancements in ML, LLMs, and agentic AI systems.Propose and prototype new capabilities to strengthen our product’s intelligence.QualificationsExperience:3+ years of professional experience as a Machine Learning Engineer or similar role.Proven experience building and deploying ML models and/or LLM-based solutions into production.Technical Skills:Proficiency in Python and ML/AI frameworks like Py Torch, Tensor Flow, or scikit-learn.Strong understanding of ML algorithms, model evaluation, feature engineering, and MLOps best practices.Experience working with and deploying LLMs (e.g., Open AI GPT-4, Claude, LLa MA, or similar).Familiarity with prompt engineering, fine-tuning, RAG (retrieval-augmented generation), and agent frameworks.Experience with cloud platforms like Google Cloud Platform, Amazon Web Services, or Microsoft Azure.Experience with containerization and model serving (e.g., Docker, Kubernetes, Tensor Flow Serving, Fast API).Applied AI Experience:Strong background in supervised/unsupervised learning, predictive modeling, and experimentation.Experience with recommender systems, ad optimization models, or marketing intelligence.Familiarity with LLM integrations in production systems is a big plus.Soft Skills:Strong problem-solving abilities and ownership mindset.Excellent communication and collaboration skills.Comfortable in a fast-moving startup environment.Bonus PointsExperience applying LLMs to real-world product use cases in e-commerce or marketing.Knowledge of agentic AI architectures and multi-model orchestration.Experience contributing to open-source ML/LLM projects.Familiarity with backend/frontend systems to integrate AI into customer experiences.Domain experience with e-commerce platforms (e.g., Amazon Seller Central).Why Join UsBuild AI that directly impacts thousands of e-commerce businesses.Work on both ML and LLM innovation at the frontier of applied AI.Own your work end-to-end in a lean, ambitious team.Flexible work culture, high autonomy, and the chance to shape the future of our platform.
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Unlock Your Machine learning Potential: Insight & Career Growth Guide
Real-time Machine learning Jobs Trends in Erode, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine learning in Erode, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 18636 jobs in India and 120 jobs in Erode. This comprehensive analysis highlights market share and opportunities for professionals in Machine learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Aakaar AI is currently hiring and seeking a Machine learning engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine learning engineer Jobs Erode.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Aakaar AI adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine learning engineer Jobs India varies, but the pay scale is rated "Standard" in Erode. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine learning engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine learning engineer interview at Aakaar AI, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Aakaar AI's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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