Lead Machine Learning Engineer

1 week ago


Chennai, Tamil Nadu, India OptiSol Business Solutions Full time
About the Role

We are seeking a highly experienced and visionary Lead Machine Learning Engineer to spearhead our Artificial Intelligence (AI) Innovation Team at OptiSol Business Solutions. As a seasoned technologist, you will be responsible for overseeing the development and deployment of cutting-edge machine learning solutions, providing technical leadership, and driving innovation in areas such as Predictive Analytics, Computer Vision, and Natural Language Processing.

As a key member of our team, you will lead a group of talented machine learning engineers, collaborate with clients to understand requirements, and deliver high-quality solutions that meet business objectives. Your expertise will play a crucial role in shaping the future of AI at OptiSol Business Solutions.

The ideal candidate will have a strong background in machine learning techniques, algorithms, and frameworks, with experience working on complex projects. They should also possess excellent communication skills, the ability to convey technical concepts to non-technical stakeholders, and a collaborative mindset to work effectively with cross-functional teams.

We offer a competitive salary range of $120,000 - $180,000 per annum, depending on experience. Our benefits package includes health insurance, retirement plans, and opportunities for professional growth and development.

Key Responsibilities
  • Lead and mentor a team of machine learning engineers, data scientists, and researchers in designing, developing, and deploying machine learning solutions.
  • Define and implement best practices, methodologies, and standards for machine learning model development, evaluation, and deployment.
  • Collaborate with clients and stakeholders to understand business requirements, gather project specifications, and provide accurate estimations for project timelines and resources.
  • Drive innovation and stay updated with the latest advancements in machine learning, artificial intelligence, predictive analytics, computer vision, and natural language processing.
Requirements
  • Proficiency in machine learning techniques, algorithms, and frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras.
  • Experience with at least two of the following domains: Predictive Analytics, Computer Vision, Natural Language Processing (NLP).
  • Strong understanding of data science principles, statistical analysis, and experimental design.
  • Knowledge of programming languages such as Python, R, or Scala for machine learning model development, data manipulation, and analysis.
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Apache Spark) for scalable machine learning deployments.


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