AI ML Engineer

Job Description

Position Overview We are looking for an experienced AI/ML Lead to join our team in Bengaluru. The ideal candidate will bring a deep understanding of machine learning, artificial intelligence, and big data technologies, with proven expertise in developing scalable AI/ML solutions. You will lead technical efforts, mentor team members, and collaborate with cross-functional teams to design, develop, and deploy cutting edge AI/ML applications. Job Details Job Category: AI/ML Engineer Job Type: Full-Time Job Location: Bengaluru Experience Required: 5-10 Years About Us We are a multi-award-winning creative engineering company. Since 2011, we have worked with our customers as a design and technology enablement partner, guiding them on their digital transformation journeys. Roles and Responsibilities Backend Development Design, develop, and maintain robust backend systems to support AI/ML applications. Implement APIs and services to integrate AI models with frontend applications and other services. Ensure scalability, performance, and security of backend systems. Big Data Solutions Work with large-scale data processing frameworks like Hadoop and Spark, as well as CRMs (e.g., Salesforce) and databases (e.g., Postgres, MongoDB). Develop and optimize data pipelines for efficient data ingestion, processing, and storage. Ensure data integrity and consistency across multiple sources and formats. Machine Learning Develop, train, and deploy traditional machine learning models (e.g., regression/classification models, neural networks). Perform data analysis and feature engineering to improve model performance. Continuously monitor and refine models based on performance metrics. Generative AI Knowledge Base Solutions Design and implement generative AI models for knowledge base creation and maintenance. Develop systems to integrate generative AI with existing knowledge management platforms. Optimize generative models for high-quality, relevant output in knowledge base contexts. Collaboration and Communication Collaborate with data scientists, software engineers, and product managers. Communicate complex technical concepts effectively to non-technical stakeholders. Lead technical discussions and mentor junior team members. Research and Innovation Stay updated on advancements in AI, machine learning, and big data technologies. Conduct research to explore new methodologies and enhance existing solutions. Propose and implement innovative approaches to solve complex problems. Key Skills and Competencies Core Technical Skills Proficiency in data analytics, descriptive analytics, and predictive analytics. Experience with regression and classification models like Linear Regression, Logistic Regression, Decision Trees, Random Forest, and Neural Networks. Expertise in programming languages: Python, R, SQL, Java, C, and C++. Familiarity with AI/ML tools provided by cloud platforms (AWS, Azure, GCP) such as TensorFlow, SageMaker, and Azure ML. Hands-on experience working with LLM models. Proficiency in data modeling and data visualization. Additional Skills Strong problem-solving skills focused on product development. Proven track record of supporting global clients or internal stakeholders in data science projects. Knowledge of AI-related fields such as image processing and video analytics. Ability to work across time zones and geographic borders. Exceptional written and spoken communication skills to convey technical concepts effectively to non-technical audiences. Qualifications Graduation/Post-graduation in Computers, Engineering, or Statistics from a reputed institute. What We Offer Competitive salary and benefits package. Opportunity to work in a dynamic and innovative environment. Professional development and learning opportunities.